3 hours trying to remove an oil filter from tractor. Chain clamp mishaped it, I ended up shredding it, ripped out the innards, all the tin down to the intake rim (yes, shredded metal everywhere) until finally used needle nose spread open in two of the intake holes and a plummers wrench for torque finally loosened it.
Reading Brand's quick little life changer kept me going with surprisingly few cuss fits:
I continue to work on my city builder game Microlandia, launched here in HN ~6 months ago. I originally predicted a few dozen urbanism nerds would play it, but now almost 10,000 copies sold. I'm still a solo developer but now I collaborate with 2D, 3D and music artists. Which is good because the original art that I drew myself for the launch was horrible.
I'm currently working on modeling energy, climate and new policies like universal basic income
This reminds me of what "Hell Mod" did to Diablo I: Basically reinvented the game as it would have been if Blizzard hadn't been constrained by money or time, and knew what worked from their sequels.
Man looks amazing, the detail level of the simulation seems to be in another level compared to sity skylines and co.
If you need any help or just chat about this, reach out to contact (At) khorchani (dot)fr
I’m working on a tensor computing language/compiler called i with a simple explicit scheduling model (loop splitting, loop ordering, input “staging”). These mechanisms alone are enough to express complex algorithms like FlashAttention, generating target code with techniques like loop fusion, minimized intermediate allocations, and “online” reductions.
Right now there is a runtime and compiler targeting C, written in dependency-free Rust, and a minimal Python frontend. The project is very much proof-of-concept stage so not yet fast. Working on a CUDA backend now.
The goal is to enable automatic discovery of FlashAttention-style optimizations which is not feasible with current compilers.
Very open to feedback/discussion from anybody interested in or knowledgeable about tensor compilers!
After 1.5 years of development and two exhausting pivots, I’m incredibly happy to finally have our v1 live!
While most of the HR tech is rushing to use black-box AI, I built the exact opposite. It's a transparent, math-driven fitness engine. It extracts objective data from CVs and calculates how well applicants match requirements, letting you see the reasoning behind why someone scored an X%.
If anyone here builds in the HR space or regularly hires engineers, I would absolutely love your feedback or a roast of the landing page.
PS This is a project of immense importance for me, I've been working on for past ~2 years, I'd appreciate to know why this comment is flagged.
As someone who worked on HR Tech in 2024-2025, I think you're really solving a problem here. Cat is out of the bag already it's not like HR can go back to the pre-AI world ... I'm also puzzled by the flags. Congrats on your project :)
flags or downvotes probably come from people being skeptical about automated CV evaluation. in europe this is also legally questionable.
also matching requirements should be secondary to experience. someone who has done a few react websites will not be as qualified for your react job as someone that has done 10 years of angular and vue and can learn react in a short time.
Still plugging away at Breaka Club, where kids take photos of their hand drawn art and build games using it. Starts out as no-code, photograph an AprilTag and it imbues the image with functionality.
I'm running an in school pilot this week (Lunch time school club).
The tech stack for the main product is honestly pretty intense at this point with full multiplayer support, offline play, transitioning from client authoritative to joining a remote server. Built atop GodotJS, TypeScript bindings for Godot, which I maintain. Huge monorepo with over a million lines (yes, I'm aware that's NOT a good thing), and GodotJS itself is not included in that.
I'm finally fulfilling a childhood dream of restoring a Heathkit oscilloscope. I managed to nab a functioning IO-12 at the thrift store for $75!
Don't tell my husband that I spent more than $200 on parts and supplies for it.
I've wanted a Heathkit since I learned about them as a teenager, and this is the first one I've ever seen in the wild. The original owner left the date he assembled it and his callsign written on the inside! I looked him up and he died in 2013, but by sheer happenstance I'm restoring it 58 years to the day that he initially built it. I got super lucky with this unit because as far as I can tell, it's only been run a few hours in its entire life. I really only have to replace aged components because they're physically breaking down, I expect the thing will outlive me once I'm done with it. Can't wait to hand it off to a bewildered young EE in another half century.
A browser extension to export conversations from Teams. I initially needed a readily available tool, I was ready to pay a few bucks for it. Turns out there isn’t an alternative for me because existing ones require instance admin to enable this, Microsoft Graph API permission, or some other requirement which I could not fulfill. Then started vibe coding it. Once it started working, I thought “I’m sure that there are people out there who needs smth like this” and pushed to GitHub and extension stores of popular browsers. Now more than 15000 people use this.
https://github.com/gediz/teams-web-chat-exporter
After getting the top spot in What Are You Working On in Feb 2025 ( https://news.ycombinator.com/item?id=43157056 ) I started a company on that idea at https://getcomper.ai . After solo building for 11 months I found a co-founder, got an angel investment, then got some ex-Miro folk on board and we are now building the product at breakneck speed.
We're a collaborative canvas + context engine for all the code and docs in your company, with a zoomable UI + CLI , where you can collaborate with your co-workers and agents.
We map technical debt, agent readiness, code complexity, security scanning, bus factor and more, so you can easily see how all the software in your company runs.
One of the most complex things is our incremental git blame engine built on top of GitOxide, as our backend is fully built on Rust. Our frontend is built on PixiJS so you can explore at gaming speed with 60Hz refresh rates.
Recently we sponsored Rust Week in Europe and a hundred or so developers tried our mini-game which is GeoGuessr for code, and got rave reviews. Future is looking bright!
Multi Agent setup to tackle complex problems using the diversity of multiple LLMs. All for personal use but finding it very useful especially what I call the 'all angles' where it runs multiple strategies parallel then a judge agent presents summary including a view on how the strategies agreed and diverge from one another.
I went on sabbatical to fulfill my dream project - consolidating 30 years of training logs that span everything from paper and Excel spreadsheets to various fitness services and devices I used. I'm enjoying the technical challenges involved - digitizing paper hand written logs using OCR / visual generative models, navigating the maze of athletic metrics with their crazy trademarked names and SOTA multidimensional models. Having incredible fun building AI coaches: agents ranging in character from Al Pacino in Any Given Sunday to the coach from my teenage years, utilizing ICL / PFN model-based predictions, ... and more.
The best part is the rush of memories while ingesting my own history - photos and recordings I completely forgot, as well as navigating data shared by friends - records they didn't see in years because the original applications they used no longer exist or won't run on their current HW.
I've been working on getting another major release out for my side project Materia[0], hopefully by or on the solstice. Materia is a GitOps continuous delivery tool for Podman quadlets: it handles installing/removing/updating files, installing secrets, restarting services and dependencies, rolling back failed updates, and more. I've been working on this for almost two years now and am pretty happy with how its coming along and the growing user base. Plus it's been a fun excuse to try out some new things, like creating a Varlink API or different CI/CD setups.
Besides Materia itself I've been bouncing around some other ideas for the Podman quadlet ecosystem. The biggest one is Athanor[1], which re-uses the same plan-execute system and primitives provided by Materia to backup Podman volumes.
I've also been kicking around a clustering system for Podman volumes called Firmament that uses Serf and the built-in Podman import/export API to move volumes to where they need to be in the cluster. But this will probably wait until Materia hits 1.0 before I really start putting effort into it. Or if my homelab needs something like it, whichever comes first :).
Recently started some agentic features for paid version, and this lead to a side project https://eatmydata.ai - a question-to-sql-to-dashboard builder, where data doesn't get exposed to AI (with bundled in-browser SQLite vector search, NER and many other features).
My wife and I are working on a math/science/CS-inspired jewelry business.
We try to create pieces that stand on their own aesthetically but have a hidden meaning. We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one).
Two months ago I went full time on my indie game after just under a year and a half of part time work. I’ve been prototyping in Godot for about 6 years now, and finally had a game that my business partner and I were really interested in and felt matched the current market desires. It’s cozy world builder, drawing inspiration for Sim City, Rollercoaster Tycoon, The Sims, with an aesthetic influence of Stardew Valley, Animal Crossing, and the like.
This was very much a passion project and an idea I’ve wanted to see alive for decades, and also let me explore some tech I wanted to get deeper on. I’m bullish on the the tighter integration of CPUs, GPU style cores, and shared memory. Our game, LocoMo, relies heavily of GPU processing of entities under the hood.
It’s such an untapped domain, and despite the consoles being more tightly integrated this generation, we’re still mostly using the horsepower for traditional AAA realism-focused graphics, as opposed to this whole new world of computation available.
Edit: Also, thank you! The game has evolved a ton over the last year and is really coming into its own stylistically, bit by bit.
I'm working on OSS security tool that can protect you form credential stealers (think Shai-hulud and similar) or prompt-injected agent leaking your secrets.
agent-vault-proxy is a local proxy that injects real secrets into requests in-flight, so a compromised or prompt-injected agent has nothing to steal, feedback welcome: https://github.com/inflightsec/agent-vault-proxy
My wife and I continue to work on Uruky [1], a simpler Kagi alternative, based in the EU.
Last month we launched image search (got out of beta this month), added our own index and crawler (via Uruky Site Search [2]), and reached 100 monthly active accounts (we’ve passed 150 now)! You can also see a privacy-focused independent blogger wrote about us [3]!!
You can check out the main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you can download a copy of the source code (licensed as BUSL into AGPLv3 in 2 years — a suggestion made here in HN)!
You can also now get a free trial for 2 hours when you signup if you pass a proof-of-work captcha (another suggestion made here on HN, and it uses a local Altcha).
Our main challenge continues to be discoverability and outreach because we want to do it ethically. Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications.
Feature-wise, for June we’ve already added a ton of personalization and privacy-increasing features like URL rewrites, cash-by-mail payments, and anonymous vouchers! Upcoming is partnering with ProxyStore to sell vouchers (we’re currently in talks for this), so you can buy vouchers with XMR/Monero or other cryptocurrencies. Then we’ll be looking into increasing our own index, focused on indie/small web.
Oh, wow, thanks for sharing, I wasn’t aware of that post! We’ve tried to reach out to European Alternetives before, but never got a reply, unfortunately.
Thank you so much! We would definitely love to have that happen, too! We couldn’t have imagined we’d get to 100 monthly active accounts so soon (and now past 150), but we’d need at least an order of magnitude more in order to have it be sustainable as a full time business for us.
That being said, it definitely looks possible, so we’re excited! As it stands, it’s already sustainable part-time and can go long-term.
I checked my analytics recently and over 100 people have 100+ day streaks which kind of blows my mind!
I released custom player puzzles which has been a lot of fun! I’ve gotten dozens of submissions that I’m working through. People are submitting really clever and interesting puzzles. It’s fun to get to solve puzzles I didn’t make myself! There’s more I want to do here (featured puzzles, categories, etc.)
I think I’ve also tracked down an issue that was causing the game to crash on older iPhones. I’m having playtesters run through it now and hope to deploy tomorrow. (Switching some positioning rules from CSS transforms to SVG coordinates)
I recently made some puzzle brainstorming tools using the Datamuse API which have been very helpful for brainstorming words related to a theme.
I’m starting to debate some monetized features. So far everything is free but it would be nice if my wife and I could dedicate more time to this. If I could get a few thousand dollars a month in subscriptions my wife could quit her job and focus more on puzzle creation and improving the game. If you play and have ideas for features you pay for I’d love to hear them!
A small thing I've been building as an antidote to doomscrolling. Open a new tab and see a public domain artwork from a real museum: https://toregard.art
Mostly I wanted more art and colour in my workday - something to look at, learn through and draw inspiration from in the moments between meetings and code. You can create an account to save your favourites and curate your own gallery. Just released collections that you can make public.
Art from: The Metropolitan Museum of Art. Art Institute of Chicago. Rijksmuseum. Cleveland Museum of Art.
I'm continuing to expand my own deep learning library [1] built with numpy-primitives to support LLM post-training techniques like supervised fine-tuning (SFT) and reinforcement learning with GRPO. It's a good learning experience to work without all the high-level abstractions to "build a wheel" and "use that wheel to build a car".
I'm also looking into coding harness self-improvement [2]. An inner LLM (raw LLM request) + harness solves coding tasks, an outer agent like Claude or Codex that proposes harness changes. I experimented with many things in the past few months that made me realize this self-improvement thing that everyone is talking about is just an experiment design problem. I wrote about it here [3]. I'm continuing to improve the infra around the self-improvement loop, to increase signal-to-noise ratio per experiment. I'm also generalizing the infra to expand beyond terminal bench tasks and to collect some data across different models (harness-bound vs model-bound).
The Ubuntu DDoS last month inspired to me make a better apt cache service. It's looking like I'll be cutting a 1.0 release later this week (after extensive testing in my environment).
The primary features I'm focusing on are: It can serve packages if the upstream is unavailable or corrupt, it is reliable.
It snapshots and verifies the cache, and then only updates the snapshot when: a new metadata is available, it has downloaded updated packages that you commonly request, all the metadata checks out.
It's been running in my environment with ~200 clients, ~50 of them get reinstalled every day and then do a full set of package updates and installs. Been working great, even when I shut down Internet access while doing it.
I've been turning my Media Viewer into a complete local first media ecosystem for automated tagging, a media server, phone swiping, and a web version of the viewer so you can access it remotely. https://lowkeyviewer.com/
The thing Im most proud of though is just the viewer, its designed to just open all the images and videos in a folder, and then there is no UI except a right click context menu, the list is a grid or a masonry layout that uses 100% of the space for the images/video so you can just navigate them. It adds anything you open to a local sqlite db so you can tag things if you want optionally. Also control modes that make sense for either a mouse or a laptop trackpad.
Attemping to write my own CDCL SAT solver right now. I've experimented in the past with a DP & DPLL SAT solver. I'm currently somewhat mentally stuck on how to create the derived clause after a conflict, but I'll get there :)
I’m working on
https://creditcardchecklist.com
It lets you keep track of your credit cards and which perks you have used and when the annual fee is going to hit. I often forget to use up the perk before it expires. You don’t even need an account buts you get notified if you make one. Also it’s free!
I also am working on https://trypixie.com - a way to employee your kids legally. It gets money into their Roth and saves you taxable income all while teaching them about working.
I’m working on Kern, a small, git native, make and unix inspired llm workflow.
Modules are simply folders, and the tool just reads from stdio and outputs to stdout. Runs are stored in simple text files with all the info of inputs, outputs and other metadata.
Mainly https://www.vaava.app/ is a baby tracking/logging app I originally built for myself, now available on both app stores. All the user generated data is stored only on device and is transferred in local network to users who you have paired the app with. There is 0 behavioural analytics, even the crashlytics are 100% optional.
There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.
You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still, like 90% of the features are available for free.
Also
https://www.athilio.com/ privacy focused, highly customisable personal data analytics for your Oura, Garmin, Polar and Apple Health (ios port coming soon). Of course there is couple of AI features (with a single switch to turn all off), originally those were built just so I would learn how to embed agents in sw products myself. The whole app was originally built for personal use to fix missing features in the manufacturers own platforms:
- Period over period comparisons (this month vs this month last year)
- Comparing different metrics
- Customizable graphs and other widgets
- And of course combining the manufacturers metrics (oura for sleep, garmin for training etc etc)
Existing solutions for this kind of software seem to have focus on social (strava), or coaching (training peaks), or they are just straight up crazy expensive with their paid tier (both tp and strava for example).
Thanks! Yeh focusing on privacy is good differentiator, large established players just cant really compete in that area in a similar manner. It also reduces operational load from myself when I dont hoard user data. And of course the customer gets a service that respects their privacy. But when focusing on privacy there needs to be adjustments and compromises on UX and such in some areas, but you got to so say no to somethings when sticking to your values!
I've been thinking a lot about soul cultivation as a concept, and the general structure of the soul, and doing a bit of writing on the topic. I feel like this topic is surprisingly under-discussed and under-explored relative to how impactful it is. By soul I mean "the part of you that is an observer", in case this isn't clear. I think a lot of discourse gets caught up with metaphysical speculation instead of focusing on what is there and what is knowable.
Most recently I was also probing people about how they conceptualize of the soul, making my own drawings, and asking others for drawings. If you have a few minutes I would also be interested in seeing how you would draw a soul, given pen and paper or equivalent materials. It often feels like for a lot of people the concept of the soul gets comingled with very confusing definitions.
There's a general problem where certain concepts become so overloaded that just disambiguating and clarifying what is meant becomes a challenge. I will note that if your first thought or question is whether the soul is even real, you might be confused about the definition or we might be referring to different concepts.
I'm working on rookery, "A PGP-first, self-hostable email server that comes with a web mail client and modern standards out-of-the-box.": https://github.com/oleblaesing/rookery
If you are a privacy minded person like me, you got only a few options when it comes to email with some ease of use: ProtonMail, Tuta etc. Rather than becoming a new competitor to those, I want to give the power of the decentralized email standard back into the users hand. Everyone with a bit of self-hosting/Linux knowledge, can setup their instances for themselves and their friends/family/business.
Bootstrapped that heavy via vibe coding. Used it to learn a lot about the email standard and related technology. However, I find it too valuable to just be a learning project. Now I'm cleaning it up to get in control again and to proof its secureness by rewriting/restructuring/refactoring line by line.
Protonmail (and I guess all others including Gmail, except Fastmail) has a nasty feature, where the sender can put an expiration date on emails and practically get a confirmation you received the email without you ever knowing you received the email.
If the expiration is for example one day, you might never see it.
To my knowledge, Protonmail does not even show information that the email has expiration. Nor can you access log of deletions.
This feature was used against me on a court trial.
It's full featured with agent loop, gets work done locally.
It's open-source and Swift-based, we built our own inferencing engine since every other engine is based on Python. Check us out - https://github.com/osaurus-ai/osaurus
I'm working on a general repo shape/structure linter (language agnostic)[0] - the idea is to enforce things like directory structure, existence of various files (LICENCE, etc.), file naming patterns, jsonpath + schema over json/yaml/toml, absence of potentially malicious unicode. It comes with rule bundles for various languages/presets which can be combined and extended. A goal is for it to be very fast, and useable on huge monorepos. I noticed myself having to add various forms of validation/scripts when coding using AI, and decided to build a reusable, fast tool for this purpose instead of rolling validation scripts for each project.
A tide flag. As in, a mechanical device that turns a weather-vane-like flag that moves with the ebb and flow. It has to be powered by the tide, and must be able to withstand the elements. And, must look cool.
Then, I will slap an ESP32 & z-wave on it :D secretly to feed my Home Assistant. :D
awesome, your notes and music theory apps are very close to two of my hobby projects as well, the main difference is that my music app is guitar-centric
unfortunately, I did not have the time to pursue them. good luck to you!
I’ve been plugging away at my running coach style app, powered by the original idea of training for a trail race while living in a flat area with no easy access to natural climbing that has evolved into a fully functional plan generator: https://runcoach.fly.dev
It works well for me so far and I’m pretty happy with it!
Still plugging away on SourceMinder (https://github.com/ebcode/SourceMinder). I know, I know, everyone and their brother is working on token-saving schemes for LLMs. But I’ve found it to be useful even without the LLM. I’m working on a proper website for it now where you can try it out in the browser (wasm port) — try before you don’t buy (it’s GPL). Feedback welcome.
- Imagined job I want to do: Teach software from the ground up, with good illustrations.
- Side: https://peace.mk/ - Create my own automation framework, because I want to make it clear what infrastructure-as-code is going to do before/during/after you run it
- side-side: https://azriel.im/disposition - a diagram generator like graphviz, but supports markdown, to visualise what infrastructure exists / will exist / will be deleted / is in progress when automation is running
Texcraft is an attempt to re-implement TeX with a modular/LLVM software architecture. These UIs take the same code in Texcraft that has identical behavior to TeX, and illustrates some of the inner workings of TeX. The lig/kern one is missing instructions :)
I have also found at least one bug in Knuth's TeX recently and am currently writing it up.
Aside from that, I've launched a new tool that tries to promote Solar panels. The UK has some of the most expensive energy in the world, so I've been trying to let homeowners and building managers understand if their building's are suitable.
Uses some APIs all plugged together - including the DEFRA datasets for DSM (LiDAR from planes).
I'm maintaining a public dashboard that monitors the occupancy of public parking garages in my city (https://www.parkeergaragesdelft.nl). Last year the city council requested this information from the municipality but it's still not delivered. I just finished a redesign that includes references to the relevant city council discussions that aren't settled due to missing data.
Another project is https://www.beeldplek.nl, a timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. The infrastructure is up and running but getting the permit to place the mount has been a slow process so far.
I've been working on a inference engine for a System F Omega inspired language and getting to a point where it is starting to feel good in small programs. I'm not sure why I started this, but I'm hoping to make something like an experience reminiscent of Lisp/Smalltalk by working in an interactive environment.
My goal with this language was to pick a set of primitives to compose and express as much as possible.
The two main features I am missing right now are recursive types (I want to do proper mutual recursion and have been procrastinating) and some form of type classes or implicit modules. Structural typing has been useful and I'm finding a lot of features are falling out for free from that.
Long term goal is to create something with performance within a reasonable range of C# / Java etc generally, with tools for opting out of GC. I don't plan on chasing zero cost memory safety, since I want to spend my "budget" on tooling and expressiveness.
Until the language semantics stabilize I plan on generating some pretty naive JS/TS to play around with real programs, and eventually target .NET and native (likely via C++ transpilation)
If someone was interested in trying it, the thinkythoughts folder contains an ASP.NET server side blazor project with monaco and basic (but broken ;)) syntax highlighting and debug output from inference. I don't expect anyone to be interested but if they are and want samples please don't hesitate to ask :)
It provides digital loyalty cards for cafés (think of an electronic version of paper stamp cards). However with zero apps or customer signup, instead loyalty passes go straight into Apple and Google wallets.
It’s written in Ruby on Rails, which I’m enjoying learning. Still a bit rough around the edges, though it’s free for now so I’d be grateful for your feedback.
Interesting idea! I'm keen to try it out but adding a pass to my android account fails with 'This card is for test use only. Ask your administrator to grant you access.'. There is no contact information on the website but you can reach out through the Beanback account with the same name.
Trying to polish a bunch of my projects I've worked on over the years but never had the cojones to release to the wider world:
Hallways (https://hallways.lonnycorp.com) - a web browser for 3D spaces, where instead of hyperlinks you have portals that you can seamlessly walk through
LonnyMQ (https://lonnymq.lonnycorp.com) - a performant, production-ready TS PostgreSQL message queue library and accompanying blog post that walks through its design (of which I'm quite proud of)
Everyone is working on personal agents but their identity model is wrong. They act as you, risk your reputation, your data and more. Nym is a personal agent that has (and can make) all of its own accounts and only gets selective read only access to yours.
The goal is to make reliable agents that are able to operate safely in the world to help you do what you want, without exposing your accounts and personal identity to potential harms.
For instance nyms have their own e-mail addresses at nym-mail.com, you can CC them on chains and they can only respond to people on that chain with a lease of 5 days, or permanently for people you specifically add.
I'm working on an easy-to-embed typed language called Ekto. I am taking a lot of inspiration from Koka and aiming to support full multi-shot delimited continuations all while keeping the virtual machine deeply predictable from the host side.
I'm also rebuilding an integrated task/knowledge/publication system I'd previously built atop Gemini's Gemtext format. While I loved the simplicity, I've discovered that there are lots of burrs in that design, especially on the publication side, which I'd be able to lift by using a more fully featured document format like Djot.
I’m working on a coding agent that doesn’t have access to the shell. Essentially all it could do is edit and read code, verify and run tests. But due to that limitation I’ve made it target only rust projects for the time being.
I've continued working on Eidetica, my decentralized database project. I recently added support for a client/server architecture so that it can be transparently run as a local daemon for background sync and sharing the local storage with multiple users. I've been making progress on integrating blob storage next, as well as scoping out WASM based "lenses" for handling decentralized version/schema updates. https://github.com/arcuru/eidetica
I've primarily been testing it by building out my AI tool chaz into an Eidetica-native AI Agent framework for decentralized Agent sessions. It's working surprisingly well, it maps pretty well onto the storage model and it's uncovering issues with Eidetica I need to fix (which was always my primary reason for building it anyways). https://github.com/arcuru/chaz
Separately I'm building OptiMap, a SIMD-accelerated hashmap repo that explores the design space for hashmaps and benchmarks different approaches. This is mostly for my own learning but I'll eventually turn into a blog post. https://github.com/arcuru/optimap
I've been building this little animation tool I’ve wanted for years, inspired by one of Bret Victor’s demos from his talk “Inventing on Principle”. I wrote about it here [1].
Basically, instead of setting keyframes and tweens, you perform animations in real time: select a layer, manipulate its properties and the timeline records every frame.
No install, no account needed. It's like Excalidraw, for animation.
I still have some ideas and hope to keep evolving it. And I hope other people find it useful for making neat videos.
- https://namebrewery.com: An MCP for looking up domain name availability. Brainstorming names within the LLM has been great and now I can have it do the registrar look ups from within the LLM too.
- https://altitag.com: A real estate photographer can upload a drone photo and get points of interest pins overlaid on the photo using EXIF data. The annotations help provide some nice neighborhood context without needing to open up Photoshop.
Been working on optimizing CLIs for cheap agent use and figuring out how to build integrated agentic features that aren’t a full chat interface. Agent UX optimization is kind of fun! Much more testable than human UX, though it’ll be interesting to see how much generalizes across model families.
Been doing this to improve/simplify the grammar for Trilogy[1], a streamlined SQL language - I’ve been planning a redo of one feature and it’s nice to be able to rapidly get feedback on various syntax success rates. Also been particularly useful to optimize error messages, which should help people too.
I’ve been playing D&D for a few years with friends, and over time we’ve built a rich world..full of contradictions because I can’t remember half of the improv I do as DM.
I built https://loracle.app to automatically build a wiki of various entities in our campaign and enable rag q&a with an ai assistant about specific world facts.
Currently in beta, working out some pipeline optimizations. Looking for people to test! Feel free to try it out, join the discord, etc. Looking for feedback on the experience, reliability, etc.
The goal is for folks to be able to tune their own pipelines, right now I am working on adding more API params/knobs. Looking to build a good capture guide too, since most folks struggle with capture IMO
Too many things :tm:
From Campaign Management CMS for an organization I'm part of.
To various reverse engineering one offs.
Today I caused thermal runaway on a BLE thermal (sic!) printer. That melted half of its components together before I noticed. The fun fact is you can do that witouth authorizing, as long as printer is turned on "poof".
Now I'm trying to figure out a BT protocol if DJI Power station, so I can read and track its metrics.
I wrote an improved driver'ish for cheap 5G modem recently. I've been on the last 5% stretch for few months lol.
And I started reverse engineering my LandRover OBD/CAN stuff, so I have some data to publish for other hakers.
It started out as a project to try Fable. It wrote a lot of the code and I am learning as I go. I am still questioning some of the design choices but so far it is working. I do want to improve it, so any feedback is welcome.
When I was working at amazon (left May 8) working on agents was all the rage. Combined with initiatives that set goals for nearly all services to have a MCP built and available by the end of the year agents will be even more emphasized in the future.
However what happens when you actually build and launch your agent is customers try it, do some initial runs and then go ask your manager to automate their use case. That is why I have been building https://toolscaled.com/ The goal being work through your problem space using agentic chat (like Claude Desktop) and then at the end convert it to a workflow. I am pretty close to launching and have been testing. If you're interested send me an email! (if you do sign up just fyi its still in beta so YMMV.
Launching https://leafy.you soon - a general-purpose in-browser assistant. Compiles reports, fills forms, interfaces with 900+ services you own.
More broadly, I spent ages developing a self-solving Kanban for mid-sized companies and enterprises (https://kodan.dev) - controllable autonomy level, multiplayer support, remote coding server, works on multirepo projects, mobile support, previews, and more. The pain exists, but it's pretty hard to break the integration barrier.
So I'm spinning the feature I used the most into a separate, easy-to-understand product for now.
I know that there are already way too many markdown editors out there, but I think Kraa still offers something unique in this space (combination of minimal UI, plentiful features and some unique stuff like real-real-time chat).
Working on a brand-new version of my free project management tool, Post Haste. It’s a tool for creating new projects from templates where you set the initial folder structure and project settings, as well as enforcing naming conventions. It was initially created for video editors but you can use it in any industry.
It’s a complete redesign from scratch that combines Mac and Windows into a single codebase via Dioxus (right now they’re two completely separate codebases).
The last few months I’ve been reading a lot about neuroscience behind learning and practicing music and I’m fascinated by the subject. It has helped me realise why the app works for me, as well as my own mistakes that held back my progress for many years despite putting in decent efforts.
It was a much needed inspiration to continue working on it with a re-evaluated roadmap.
Helping my wife ship https://quantral.com - a platform to monitor X and Reddit for financial chatter and score companies and authors. We discovered lots of stocks early in this AI cycle from X. There’s lots of noise, so we built a platform to more easily monitor the social sentiment for our investment purposes, but now we are trying to spin out a fully fledged consumer product.
Basically every game server hosting provider bills monthly, but most players don't play all the time. So I'm building instalobby with a friend to provide to gamers on-demand hourly billed game servers.
We're starting with Valheim, but expanding to more games hopefully soon.
(If anybody wants to try we are offering $1 worth of credits to every new account)
Still working on my web site quality assurance software. Getting close to private beta (hopefully very soon). Back end is written in Java and built with Javalin and Jsoup and persisted to PostgreSQL. Front end is JS/React. My back end crawls the designated website and for each page runs a number of analyzers to assess the quality across the following categories: accessibility, content quality (spelling, missing spaces between words, etc), performance, security, content policy (required phrases and forbidden phrases), site integrity, and seo. Each site can be configured to have its own custom dictionary (for spell checking). It's been a lot of fun and I'm looking forward to taking the wraps off it.
Working on my version of Dynamicland. Today I got this small thing working where I can now live-edit the behaviour of the editor script, see https://www.youtube.com/shorts/ZjxPIv-XwoU
Worked on awardlocker.com for a while, an award flight search engine. I ended up buying a bunch of business flights with points so my interested died down a bit, but quite useful!
I haven't decided to release it publicly (if so, it'd be free). But it's a link library for my Mac for all the links sent/received in Messages. Apple's new suggested way to do this, of course, is with Siri AI. But I have been using this and like it.
A DSL for machine learning programs: https://pypie.dev/
Embedded in Python, written like Python, but with static type safety (e.g. it catches tensor shape mismatches at compile time)
With this framework, I'm making (among other things) an early literacy app at https://letterspractice.com. My aim here is to hit >= 75% efficacy of Mentava at <= 1% of the price.
The app is near to production readiness, and I'd be happy to share access now with anyone who has verbal but non-literate kids. Be in touch if interested at colin at letterspractice.com
The service is composed of two open-source services, namely a Nextcloud app (Astrolabe) and backend (nextcloud-mcp-server). I use the service as an MCP server across a number of apps, and others use it primarily for semantic search over large numbers of documents.
Both are open source, and I'm working on a managed offering, completely based in the EU, for individuals/teams that already use Nextcloud and want to be able to use semantic search across some or all of their documents.
Essentially your data stays in Nextcloud, and the MCP server backend keeps a vectordb in sync to enable semantic queries over your content. The number of supported apps is growing, including:
This week we're working on a modular WASM build to allow others to embed Tritium directly into their own platforms. AI native startup law firms love it.
I'm working on GPS tools to help support my current contract. I've found there are no good tools for tracing a route on a map and having a mobile device think it's traveling that route. I'm not just talking GPS coordinates, but speed, direction, motion detection, precise timing between waypoints, being able to play these trips forward and backward, step by step, etc. I'm talking time-travel debugging for GPS applications.
It's still early days, but I have a demo running. Unfortunately, it requires using a drop-in replacement library for CoreLocation. That alone may make it infeasible.
I’m working on Peak Flow Meter Diary, a simple app to help people with asthma record peak flow readings more easily, then combine those records with environmental data to provide earlier warnings about possible triggers.
In the UK alone, around 7.2 million people have asthma. Globally, WHO estimates that asthma affected 363 million people in 2023 and caused 442,000 deaths.
Peak Flow Meter Diary is not meant to detect every possible trigger. It will not warn you if someone suddenly sprays perfume nearby, or if a dusty bag is opened in the same room. But it could help with risks that can realistically be monitored ahead of time, such as weather, pollen, pollution, cold air, storms, and similar factors.
The aim is to make daily tracking easier, show simple visual warnings and notifications, and make it easier to share useful records with clinicians.
I’m also trying to build it in a way that reduces paper, plastic, and electronic waste. If funding allows, I would like to make the project carbon-negative.
That is the bigger dream: to make a small example of how even modest start-up can think about environmental impact from the start, and use it as a practical showcase.
Feedback welcome, especially from anyone with asthma, clinicians, carers, or people who have worked on health tracking tools. By now I know that my kickstarter is not going anywhere, so I would value any input was the idea that bad, or lack of marketing and accessing appropriate groups etc. I think this community has a lot of experience so I would like someone to share what could have I done better. Do not be shy to tell me if you think idea was waste of time.
Agent harness for durable workflows, starting with Temporal.
Most agents for durable workflows feel like toy examples. There is no "Codex" or "Claude Code" for, say, Temporal. So I'm building full-featured agent for these runtimes. Why? Because it makes long-running agents easier to operate and scale. Currently, all frontier harnesses need to run inside a guest OS and need a dedicated process, this is quite challenging to orchestrate and maintain.
To make it work, I had to figure out what part to run as deterministic workflow code, and what part to run as I/O or side effects (aka activities). I'm using a CAS for most of the payloads to maintain a lightweight footprint in the workflow code.
Currently supporting skills, MCP, prompts, a virtual file systems, and soon sandboxes.
I'm working on a dashboard for ranking llms, then finding the best local (by size) and/or hosted (by price) variants of the models. Currently have ArtificialAnalysis leaderboard for ranking, ollama registry for local models and openrouter for hosted models. https://ollamadash.up.railway.app
By default, home page gives all models in the leaderboard, local and hosted. Search for models in the search box on the home page to find the top models by ranking, local(by size) and hosted (by price).
You can also do deep querying/sorting/searching filters of models in each of these three nodes (see the other tabs on top).
The next steps I am working on (would love feedback on this or anything else):
Phase 1:
- Change clicks on home page model tiles in one column to search and show models filtered by that across Artificial Analysis, Ollama, OpenRouter
- User specifies their system VRAM (unified/dedicated) and we automatically filter the home page with models that would fit on that RAM - in the three columns.
- User specifies their price range (per MTok, max across input and output), and we similarly filter and rank by those models across all columns.
- User specifies both (VRAM and price range), and we filter by both - leaderboard is union of local and hosted, local by VRAM and hosted by price range match.
Phase 2:
Once I have this working, add a local desktop client that automatically reads user system and infers VRAM, renders app as webview. Considering pyside6 with Qt for this.
Phase 3:
On desktop client, user can download and chat with the local models automatically based on leaderboard, optionally call hosted models, etc. Used primarily to evaluate and compare local vs hosted models for user's use cases. Also have some interesting alternate experiences to host within the local private app for user to interact with llms, agents, etc.
Do let me know whether this seems useful, or how I can make it more useful.
Kudos for trying and I think it is a great start. Part of the issue is still that individual models differ greatly ( especially local ones ) in terms of what they can do ( and do well ). The problem is that you want some more custom tags ( ideally created by users who want to contribute to tag's accuracy ) 'can it generate csv', 'can it follow schema', 'can it offer position on $conversy_Z'.. none of these will be obvious, but will relate to real use cases.
We go back to the question of 'what does best actually mean'.
I made a book, Simple Machines Made Simple, and I got about 11k copies shipped to my house about two weeks ago. I'm now trying to fix all the books and get them shipped out. They are books with little mini demos in them, and about 80% of the books need some type of rework. So it's going to be a long few months.
I also made Computer Engineering for Babies which I've posted about on here a couple times before.
I'm still working on a self-hosted search service called Hister with the goal to reduce dependence on online search engines.
Hister is a full text indexer for websites and local files which automatically saves all the visited pages rendered by your browser. It provides offline result previews, a flexible web (and terminal) search interface & query language to explore saved content with ease or quickly fall back to traditional search engines.
I've been using it for a few months and as my local index is growing I can avoid opening google/duckduckgo/kagi - and even websites listed in results - more and more frequently.
The initial reception is overwhelmingly positive with already more than 30 contributors and hundreds of contributions - perhaps you can find it useful as well. (Or at least have some constructive criticism =])
Working on it has been a joy as ad-blocking tech touches so many aspects of software engineering - from systems and security to the intricacies of JS environments in browsers.
Benefits-wise, system-wide filtering disables ads and tracking not just in browsers, but desktop apps as well (which you'll be amazed how much they do). It's especially relevant now as Google is re-activating their efforts to hinder ad-blockers by killing Manifest V2 in Chrome. So much of tech is actively bleeding cash on AI right now, which means the efforts to screw over users will only accelerate. This makes something that sits at the network level indispensable imo.
It's Agentic QA + auto-provisioning sandboxes. Makes it plug and play to do code reviews that actually run your code instead of looking at it really hard. B/c the agents control all of the environment (ie running all of the services), it's able to collect runtime evidence about pretty much everything.
Any fans of Divvy/window management software? I'm working on a replacement, its near production level, open to any thoughts/suggestions. for apple silicone.
I’m building https://design.withfudge.com, a Prolog-backed design search engine that lets designers/agents query structured design knowledge from real websites. It uses data from my other startup, https://fontofweb.com, to help designers find concrete inspiration e.g fonts, colors, layouts, screenshots, and patterns, so they can make better design decisions.
I needed to get customers for Hyperclast [1], but I keep putting off GTM (go to market) tasks. I'd rather be building, you know. So I created https://tractionbeast.com/ as a tool for myself. It gives me bite-sized GTM tasks every day. I just review and do them. This completely removes the inertia for me! My other founder-friends like it too so I turned it into a product.
Trying to adept an O. Henry short story into an AI animation short.
If I'm happy with the results, will be sure to publish a detailed breakdown of the work.
VERDURE is a creative sandbox where you grow and shape plants through trimming and pruning. You can also unlock a 'recipe panel' to further customize them and build a entire collection of your creations. I like to try and recreate real plant designs with it. It is a bit unusual.
ive been getting claude to reverse engineer my raybans glasses case, so i can figure out a 3d printed insert to put in thats less likely to break.
in the process, figuring out some tricks for getting opus to work with 3d a bit better
two tricks ive found is to:
1. get claude to present all the orientations to you, then pick which one after
2. convert 3d problems to 2d ones - get it to draw streamlines describing the geometry, rather than trying to look at the whole thing in 3d
fable was a fair bit better at working in 3d than opus is. well, opus mostly isnt
I'm working on Totem (https://totemkb.com), a collaborative knowledge management system built entirely in Rust without any HTML or web-tech. Currently supporting Windows, MacOS, Ubuntu, and iOS (although the iOS build is currently in review).
Although the goal is to build an efficient all-in-one-workspace, I wouldn't run a company on it just yet. Right now I'm looking for early adopters who don't mind the rough edges and relatively minimal feature set.
CS Final Year Project: Multi-vendor Food Delivery System
2 person team and we didn't do anything manually beside creating the entity relationship, and briefly documenting the overall design system we wanted. Now we are sitting on an almost 80% completed system with 6 more months in hand.
We are in the process of writing our own vertical stack with Go to control the machine instead of expensive and handicapped solutions from Siemens and etc.
an open source technical interview platform built for modern interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions.
Fairly predictable given the times: a plugin for coding assistants that supports a development workflow that I like :) It's at https://www.shipsmooth.net/.
Perhaps the more interesting bit is that it's in Java (not Typescript or Rust)! Java 25 is pretty neat. Bonus: getting to know how to distribute a self-contained Java program using jlink and the likes: https://docs.oracle.com/en/java/javase/17/docs/specs/man/jli...
The basic idea is to make Regex-scans so fast/cheap that "a metric" can be anything numeric in the text and "tracing" is useless because you can just log (and filter) more things. Turns out Regex at >200GB/s solves a lot of problems.
Metric cardinality explosion is immediately a non-issue, histograms have arbitrary resolution, and you can get from histogram pixels back to the underlying logs. And no need to instrument everything thrice for logs, metrics and traces.
The next big feature I'm aiming for is needle-in-a-haystack searches. The data block headers support it already, but the scan engine doesn't yet use it.
It's a side-project from our consultancy work. We're two deep technologists and so far entertaining the notion that we're very bad at (product) sales. But we're trying to learn that now.
I’ve been considering new features on Book Bounce for my use cases. I’m pretty hesitant to start anything new on it while I’m waiting for approval for Google Play…
In the mean time, I’m working on a recipe application I’ve had countless false starts on. It’s centered around iterations and version on recipes, tracking changes to ingredients and directions to build new a new recipe from an existing one.
I’m starting with a go Bubbletea tui this time and I’ve been having a lot of fun with it compared to the React SPAs I’ve tried before. Not feeling compelled to style anything while working on the UX has been nice.
I'm working on a competitive coding gameshow. I'm imagining a combination of great british bakeoff, battle bots, and dota. Basically contestants get dropped into a fully equipped dev machine (all the bells and whistles one could want/expect including neovim, agent harnesses, cool styling, etc and if you want you can always clone your dotfiles and stow them!). I've gotten a decent prototype that live streams from Fly.io sprites to twitch, and I'm able to voice over or have OpenAI do commentary on the match. I've got a demo here: https://www.twitch.tv/videos/2792893261. Still a ways to go, but it seemed like a fun way to tinker with Sprites.
For my demos I've been running 3 minute sessions but I'm planning to run 30-60 minute sessions depending on the scenario. I want to see people push the boundary of what can be done in an hour (with an agent or without, it's up to the contestant!) and ultimately have the match VODs serve as entertainment but also reference examples for "good" development workflows.
I've been learning Basque and wanted to see a visualization of how the semantics move into different grammatical structures when translating between Basque and English/Spanish.
Under the hood it's using Stanford NLP to analyze the input then that analysis is given to Claude to generate the data structure needed to visualize the translation. It's really cool and maybe my favorite of the itch-scratchers I've built for myself over the years.
(Xingolak is Basque for "ribbons," a nod to the visualizing metaphor used in the UI.)
I'm working on trying to get citizens' voices into spaces of power (councils, parliaments...). So far I've been experimenting with scrapping public records and building a solo (and multiplayer) experience for replaying plenary sessions.
https://www.storystarling.com - create a non-fiction children's book explaining your super-niche-geek topic to your kid. Pick any topic, your kid becomes the little explorer, we illustrate and print it. Requires registration, but then lets you read the whole book before paying.
A tool that creates sandboxes (docker, podman, orbstack, seatbelt, tart, containerd, kata, firecracker) and then sets up an agent (claude, codex, gemini, aider, opencode) inside it with max permissiveness (no annoying permission prompts).
It creates its own copy of your workdir for the agent to play in, and then you pull changes out ala git diffs or commits.
$ yoloai new mybugfix . -a # launch default sandbox in . and also attach the terminal
# Work with the agent...
$ yoloai diff mybugfix # See what it did
$ yoloai apply mybugfix # Bring out commits and/or uncommitted changes.
$ yoloai destroy mybugfix
Still working on stelae.eu (private WP editor -> static deploy: more secure, faster, cheaper). Its pretty solid already, only working on minor things. The main issue is that I think that I have a real cool product (maybe a bit boring, but in a good way) with good values (anti lock-in, privacy respecting, EU centric, fair pricing, no VC money -> sustainable business approach) but I can't reach the people that would love to use it. So thats what I'm really working on: trying to be more visible.
Implementing a solver/optimizer for the Minizinc challenge in Rust! It's very fun, and maybe next year I will even try and put it into the competition properly. As well, I am working on tracking down the history of Sudoku prior to Wayne Gould's popularization of it in the 2000's, and I have found some really interesting postings on Japanese forums from the 90's about the game.
Over the last year or so I arrived at a (sort of) MQTT semantic broker that facilitates an actor architecture. It supports federation (including transitive, so proxies "just work"(TM)), transparent outbound buffering with disk overflow and encryption with the noise protocol. Building apps on top of it is a joy. Rust.
edit: ah, yes also a broker controlled component manager that can start, stop, monitor services over the mentioned broker. This is the carpet that brings the room together.
https://mdview.io - the best way to read big technical documentations. Right now I am working on Grill Me feature for rigorously questioning and stress-testing plans or designs without leaving the app ui
I thought this might be interesting - but I'm on PC and there are no quick ways to pop on that site and see the app in action. Like no screenshots or anything? So I left and likely will never be back. Always good to have some quick screenshots/gifs of apps in action or people bounce on your landing/sales page never to be seen again.
TensorZero, LLMOps gateway, was archived yesterday and I forked it to continue development and keep it open source. I also applied for 6 months of codex credits which I will dedicate to the project.
I'm working on my self-host TTS cli application for turning articles into spoken audio which I can stream from my PC to mobile device when I'm out and about.
Thinking about adding some things like queuing RSS feed items to be converted to audio and a feature for being able to do the conversion from my phone.
It’s founded in Rust and incorporates a Deno runtime for extensions.
It’s headless now, via JSON-RPC. I’ve got the basics of a trait based system which will enable different frontends. At the moment, I’ve created an extension for `pi` which allows me to use that as the frontend.
I am currently working on a platform for authors to write nursery and kindergarten books for children. It’s pretty much in alpha stage. https://storybench.app
I am building on a publishing platform that aims to go against some of the tide.
Strictly human content, pagination instead of endless feeds, one-off payments instead of subscriptions, linear feed by default, public profile scoring instead of secretive algorithms.
TUI based interface to search in your files very quickly. I created it from the need to have an equivalent of voidtool's Everything on Linux. It's a bit different though because it's keyboard based. You define zones where you search for files most of the time, and you can manage previous files history.
Then there are actions you can perform on each file/folder.
I'm working on an open source and customisable/configurable warehouse management system.
As it's open source and built with a codebase that's easy for LLM's to work with, users can download it and tailor it to their business/operational requirements, although it also has out of the box 'industry best practice processes' so you don't have to reinvent the wheel and can only focus on writing the 10% custom stuff which differentiates your business.
As all the processes are flexible, you can also do proper 'continuous improvement' with your staff - something traditional WMS products struggle with.
No link because I'm finalising it at the moment, but if you are interested please reply!
Thought it’d be a short concept to get from start to finish but the things you need to implement and plan for in a video game can be near infinite and decision paralysis is a real problem for me.
Vinyl-Tags: a set of command line tools to facilitate the process of preparing analog recordings for addition to music libraries. Fetch metadata and cover art from Discogs (or generate your own); co-run with Audacity to locate track boundaries efficiently; add the metadata to the audio tracks.
I sometimes need to have a quick but realistic model of an optical system without paying a few thousand for some of the well known commercial offerings, so I've been building this.
I learned to program with KidSIM and later Stagecast Creator, a spin-off of Apple's Advanced Technologies Research Group in the 90s. I'm re-creating it so a new generation can learn the fundamentals of object-oriented programming the same way I did. I've been working with Dave Canfield Smith (one of the original authors and also inventor of the icon ) and it's been a blast to bring back my earliest memories of programming. All open-source and free of course.
My mother had a stroke a little over a month ago and I don’t live close by. I went in search of a wellness product that would let me know how she’s doing without her feeling I’m prying too much. I didn’t find one, so now I’m trying to build it. I’m also working on moving closer.
Have you looked at Home Assistant (HA) as your consolidating platform?
I helped set up one in a nursery home with mmWave motion, temp, humidity, switches, electricity flow, etc. If they want to, they can control water faucets, sinks, flushing WC, ceiling fans, heat/cool, plugs and switches.
The beauty is that you just need to find a device with either existing comms "protocol" (e.g., RESTful APIs, MQTT, Zigbee, Z-Wave, BT, BLE, Metter, Wi-Fi) that HA understands, or get one of the many community solutions for others (e.g., LoRaWA, 433MHz, modbus).
I’m still working on filepond v5. A JavaScript file upload library that supports client side image manipulation, chunked uploading, various file sources, and is procedurally animated.
My first video game! It's a 3D First Person Puzzle game where Medusa turns you to stone, but your statue remains when you respawn - and you use this to solve the puzzles in the game
How much of the code do you think is written by AI?
Just curious as I do video game development and just recently started heavily using opencode agentic development with the Flash models (instead of essentially using zero AI assistance before). I actually really like the workflow and find it helps speed things up a hair and in general allow faster testing/tooling builds/etc. which are super helpful to make a game feel really good.
Kind of curious how other people are using agentic code tools for game dev!
I wonder how many people are scraping this thread right now and posting into llm something like “take the best ideas from this thread with highest chance of quick revenue”.
Anyway, I’m working on my manual skills of soldering.
Audion - a scripting language that is very fun to write and lets you make interactive music, installations, generative compositions etc https://github.com/audion-lang/audion using supercollider or any daw and hardware. AI picks it up easy so Agentic coding in Audion works very well too.
I’m working on a novel (toy scale) kind of LM that is explicitly interpretable and programmable. In that it learns to predict words from text and you can directly see what it learned and teach it new things without retraining.
I'm working on Kronotop, an open-source, distributed, transactional document database built on FoundationDB, featuring Redis protocol compatibility and a MongoDB-style query language.
I'm build open source : Sovereign AI Infra, Deployed in Minutes.
Deliver Private AI in your cloud organization. Everything in full control.
The idea is simple: Its handle of the complexity for AIOps infra like GPU VM provisioning, NVIDIA driver setup, Docker setup, model download, and launching the inference server. User can run any OSS and AI tools inside their cloud.
Putting finishing touches on an open source multi sig solution to authenticate digital artifact, aiming to increase security of the software supply chain. It's open source, completely self hostable, incl internally, support air gapped signers, fully auditable (data store is a puglic git repo). It's an alternative to sigstore, making different decision.
tsz is my main side project. Trying to learn from this for how to make software in fully automated fashion. tsz's goal is to match tsc (tsgo) but perform better. I am not passing all tsc's own test cases and working towards making it work on complex type packages.
I am looking to build a platform that allows for real interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions
Im currently working solo on the only autopilot agent and thinking partner for android. Its called twent.xyz . Wait. I got more to show you. Im also building signupdoggy.pages.dev which is an API based service that blocks fake signups. Could be temp emails, could be temp phone numbers, we block it all.
Crossed over 100K MRR and I'm shooting for 2M ARR by the end of the year. Growing something in this stage is totally different from making it go from zero to one so it's an interesting learning curve. AI has also changed the calculus as well where it seems less crazy to try and do this sort of thing. Time will tell!
I've designed my first automated test equipment (4 voltmeters with 4 gains, 4 ammeters with 4 shunts, 4 regulated voltage sources) in kicad and now I'm slowly assembling it, testing and calibrating: https://imgur.com/a/ate444-Y0cORf2
I'm building a plugin for Ghidra called Specter that aims to bring semi-deterministic agent workflows to Ghidra. It adds a terminal like interface to Ghidra's code browser where you can chat or run DSL queries.
The project is currently 100% vibe coded with codex\gpt-5.5, but after running some experiments, I'm working on replacing some of the vibe coded SQL engine with Apache Calcite.
Working on Margin Points (https://www.marginpoints.com/): a daily essay series on business and tech. Already over 80 essays in. I'm playing around with a daily live call-in show for readers who want to discuss ideas while the essays are rough drafts and help shape the thinking.
I enjoy creating new benchmarks for LLMs. Lately, combining scientific computing tasks (n-body sim, Monte Carlo, etc) with Apple Metal GPU kernels (evolved through LLMs) led to a curious benchmark I believe: https://github.com/vicgalle/metal-sci-kernels
Trying to upgrade my data viz project [0] from Svelte 5.35.7 (pre async) to the latest version and making sure that the performance is not negatively affected (e.g. [1]).
It takes your instructions, write a versioned spec, then generates a hybrid workflow of code+LLM calls and protects it with tests/evals
The result is that the agents run much faster (90% of it is code), cheaper (LLM steps are scoped tightly and uses smaller models) and reliably (specs get turned into coded state-machine)
Trying to write a formally verified simplified (1D) implementation of Ruckig, more to learn the tools than for the result, although I want that too. Some fun challenges with numeric stability (using the big hammer of arbitrary precision to address that for now), etc. Still don’t have a real path to bridge correctness arguments through a formalization of Sturm’s theorem or similar, accepting it as an axiom for now.
You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no combat. Playtime is a few minutes a day by design.
It let's developer do test planning and testing automation using their coding agents. The records of the testing sessions are then shareable and can be added to PRs, giving the reviewers visibility into how the feature works, what scenarios are handled and tested and what might have been missed.
Been building a file manager for almost four years that combines the best of Notion and Obsidian while remaining a competent file manager in the process. It's called Phials.
Not technically released even though the site is live, but close enough to a beta at this point.
I'm working on inference.club, a distributed inference network for consumer hardware. Sign up with GitHub, get an API key, run an agent on your home network that registers your local inference resources with inference.club, set permissions for who can use your services, try out models in the playground and use the API. So far it supports the following models:
- LLMs (any OpenAI compatible API, vLLM, LM Studio, etc.)
- image gen + image edit (flux klein)
- text to speech (magpie, dia with voice cloning)
- speech to text (OpenAI audio transcriptions + riva compatible)
- image to textured 3d model (trellis2)
- image+text to video (ltx2.3-gguf)
- text to music (acestep)
currently it is just me and Claude vibing. While using Fable 5 moved all of my local inference services to k3s across 3 RTX 4090 PCs and my DGX Spark, now I can just tell Claude/Hermes/etc. to start and stop services.
inference.club is built with Tailscale's tsnet library. It is sort of like an OpenRouter built for different types of local AI models. inference.club also lets you showcase and share generated content. For example here is 90 seconds disco funk track generated by acestep: https://inference.club/s/Vxm6ozW24oBs_JGbPcq7tA
I was inspired by AI Horde, and wanted to see if I could build something that could support all of the model modalities that I use for generating short-form AI slop content on local hardware. This is also similar to Hugging Face Spaces, but running on consumer hardware with a common API. I've been watching the quality of local AI inference making massive improvements in quality and performance, and I want to make it easier for people to try "local AI" even if they don't have a GPU.
Been working on making it much easier for application deployments to get access to a isolated database/schema. The usual pattern currently is to assume that each app creates a new database, which ignores the backups, monitoring etc required for each database. Implemented support for Postgres and MySQL.
I’m working on a time series management & analysis tool. The goal is to provide simple ways to work with time series data, including an API and visualisation.
MathBreakers, Your Limitless Math Universe. It's a math game platform teaching fundamental grade school concepts like Fractions in an immersive 3D world with virtual manipulatives (no equations or worksheets).
Re-reading the Lean Startup to hone our GTM, market validation and growth engine.
Currently working on HN Alerts — a simple free site I made to alert me (via email) to trending stories on Hacker News.
It sends me an email once a story hits a certain number of upvotes per minute, so it's useful for keeping track of breaking news.
It'll also soon allow you to get alerted to specific words or phrases in titles. (I have one set up so the monthly hiring threads notify me as soon as they appear.)
It checks every 5 minutes, and if more than one story happens to meet the criteria during that 5 minute bucket then it'll put them into one email (so the "hiring" checks appear in one email). But in reality because it's rare that 2 stories will trend within the same 5 minute bucket it ends up being one email per story.
Still working on a Reservation System I'm thinking of making FOSS. Not trying to plug it, but it's all I've been working on lately (next to the job that brings in the bread).
I have been experimenting more with agentic iterative optimization: using LLMs to actually speed up code by finding and testing lower-level optimizations, specifically by having it build a real-world representative benchmark, then tell the LLM to optimize that benchmark without a) cheating the benchmark and b) ensuring code quality by some metric does not regress, e.g. MSE for machine learning algorithms. This is extremely effective with GPT 5.5, and recently I found another prompt optimization (https://news.ycombinator.com/item?id=48413304) that surprisingly results in another 2x speed improvement on average.
So far, I have mostly feature-complete implementations of the following, which are faster than the state-of-the-art implementations, up to 20x faster in some cases while matching or beating them in quality:
- a new 2D data visualization library, along with more bespoke data viz implementations such as word clouds and Primitive.
- programmatic image generation
- image compression
- a new statistical machine learning library, along with more bespoke algorithms such as UMAP and HDBSCAN
- a novel modelless invisible image watermarking approach
- a novel machine learning approach which may be a crime against data science but the performance is really good
- local text embedding generation with MLX
- image-to-ASCII art conversion
- grep/jq replacement (faster than ripgrep)
I aim to open-source them over the next months but the main bottleneck is the inevitable barrage of "gtfo AI slop" comments even if I dot every i and check every t, in addition to the distribution of new software being extremely difficult nowadays due to the death of social media and "20x faster" raising red flags even if I have the data to justify it.
I built a dictation and meetings after trying other apps (Wispr Flow, Willow Voice, Granola, open source) and realised they're either user hostile, buggy or have limited feature set. For example, many of these dictations app opt you into Context awareness, which means your entire page contents get streamed to their server. The open source apps don't have dictionary, shortcuts (say "linkedin link" → and it pastes your actual link), or ability to use any proprietary API.
So I made my own dictation app. Supports arbitrary API providers (e.g. Deepgram, Speechmatics, Elevenlabs), Offline models and a subscription if you want it. Otherwise it's free forever for BYOK and offline models. Deepgram is a YC startup from 2016, and have models that are genuinely good - so it's up to you if you want to use them.
Also, Granola doesn't let you read your own meetings after 30 days. So I added a feature in DuckType to import your data from Granola, unlocking all your meetings from their paywall.
Another app: OpenCook https://open-cook.com/ . We curated and wrote our own recipes into StashCook, which requires a subscription just to read your own recipes on the web app. So I got Codex to extract our recipes and rebuild one that is open source, OpenAPI and includes AI features.
This won me 1 year of GPT Pro at the codex event :)
I hope you can tell... I'm tired of companies designing their products to lock you in, to charge you more, with no added value. I build software for people like me. So I'll be building more apps that replace this user hostile software.
If you're not aware of "sync rights", it's probably worth reading up on given your interests. There is an entire specialization of music copyright law focused solely on synchronization of music to visuals. The good news is that studios almost never obtain this set of rights to the music they publish (because historically there wasn't enough money in it to justify negotiating for them).
Thank you for taking the time to say that. I really appreciate it.
When YouTube was new, a guy named JT Helms made that top one (Once Upon a Time in the West cut to Arcade Fire) and when Bruce Springsteen was asked if he liked anything on YouTube, he said that. And it made me happy because it was my favorite too. And I thought we were on the cusp of something like a new art form.
I still think that. I'd like to see short films shot to music as well.
I made Docker not suck for large images. 2-10x faster depending on the operation. I’ve spent the past two weeks burning down the last bits needed to release a BuildKit integration.
trying to get AI-powered YouTube playlist generator to work well with podcasts: https://playlists.at/youtube/generate/
(GPT doesn't seem to be very good with podcasts.)
learning to build local coding agents with mastra framework, doing basics at the moment, like reading the code, editing.
if you have built coding agent in the past using mastra, what are the problems you have faced with mastra? does it support complex branching/context trimming and other features required to efficiently manage context for AI agents?
I am making Cargo for C. I have 3/4 of a working demo; the tool can build itself, including some non-trivial dependencies which I've ported to build natively with the tool (instead of wrapping their Make or CMake or whatever). The pitch: It's insane that we have to pull in Python or Lua to build C code. CMake is an abomination against god that has become usable in spite of itself. Zig cc is proof that this entire ecosystem is an embarrassment. My tool gives C projects a TOML manifest, and builds scripts written in C and JIT compiled by the tool. Now, you can write build scripts in the language itself, pull in dependencies you wanted to use anyway. It also provides a stable ABI. There's an HTTP-backed index and a Git-backed index. And it generally does the same thing for C that, say,
Bun did for JS/TS. You'll be able to run C files from source and have the entire ecosystem available. You'll be able to trivially generate single file static binaries, or dynamically link to an older glibc without arcane tricks. It will fix C.
I'm also still working on my "what if we wrote a real standard library for C"; I added some feedback I got from the release.
Also, some side projects: I'm making something that's a mixture of chezmoi, Omarchy, and Unraid, for Arch. It has a nice web UI installer. You store everything about your machine as a Git repo, and it brings it up. I wanted to make a system where you could install things manually as you're learning, and once you know what you want have the configuration system naturally absorb it back in. Unraid was great, but once I had real infrastructure running on it the ad-hoc nature made it a huge pain to do it right.
I am also experimenting with a new UI framework that is like HTMX but can also target native apps. UI trees are JSON, not HTML. The runtime is a small core of WASM which takes in JSON patches and applies them. Each backend just translates the UI tree to native calls (e.g. DOM calls, or GTK calls, or...). It's kind of like React Native, but the point is that RN is insane because it synthesizes complex widgets and pretends that the abstraction is clean, and when it isn't it causes problems. There's...a lot more nuance to where this sits among all the UI frameworks, but the best way to describe it is "I wanted something that renders UI server-side for simple apps, and I wanted to be able to run it on the web or natively without bundling a browser". It's very much a sketch to see if this is even possible, and very much missing critical features still, but I have two nice examples that show a plain C backend and a TypeScript backend.
I've been thinking about and working on a solution to automatically resume a Claude code session in the same terminal when my quota resumes. I hate waking up and typing "please continue"
Working with a variety of AI models (Claude, Grok Build, various locally run models) and agents, I am scratching an itch.
When people deploy python and perl code, they have to either export their entire environment, or build a container. The latter is not possible in a number of deployment cases, and the former carries all manner of dependency radius gotchas.
So I am building (ok, I am prompting/testing/reviewing, the agent is doing the heavy lift) compilers for each of python 3.14.x [1] right now, and perl 5.42.x [2], that can generate static code.
Early stages, perlc does work well, pyc is a work in progress.
still working on https://hcker.news, which has an absurd number of features that improve your QoL when reading hn.
i've massively improved a bunch of things like the AI filter, which now gives you the option of filtering out github repos with AI authorship.
Also improved comments, which I'm serving through my own backend which has made loading of comments super fast, and it's going to be the foundation for some really great other features coming soon.
Soon: HN feature parity via browser extension and sync'd accounts.
I've been continuing work on cardcast.gg. It gives you the ability to play Magic: The Gathering with your friends remotely using a webcam.
In the last month or so I added a few nifty features:
- Auto-scan functionality: Instead of having to click on cards to discover what they are, I can now do whole-frame detection on an interval (configurable), so players can mouse over the webcam stream of another player and automatically see what the actual card is. Super helpful for deciding who to attack and makes turns quicker!
- Card view is now grouped by player, since auto-detection will populate a lot of cards during the course of a game.
- Switch the video stream to Livekit from my homebrew version. Players were having video trouble and I hope Livekit is good enough so solve that problem.
Next up: I really want to build a community around this, and I'm struggling on getting the word out to people / having them try it out. I've done some SEO and word of mouth advertising, but haven't had much luck. I feel like I need to switch directions a bit. I'm a developer by trade, so this is wholly new to me.
- A hand-crafted browser game-engine and game for the engine, with things like determinism at the core. I will be launching soon and can't talk too much about it yet because its quite novel. It actually has quite a few novel ideas within. Very minimal usage of AI in this project, I've been working on it for ~6 years now. A bit toooo long.
- A pure slop-crafted browser extension, because I paid for claude code Fable and it got rug-pulled so I am burning my tokens on a 100% slop project just to see what hands-off coding is actually like. A slight distraction from project 1 I do when I'm feeling a bit burnt out. Super fun so far proc-gen type stuff. Derivative
I’m developing a class for non-technical people on the responsible use of AI.
Continuing development of online training for software testers, with a heavy emphasis on AI, since that’s where the demand is.
During a livestreamed demo yesterday, I ran into a ridiculous bug in Copilot for Excel. After all these years Microsoft still can’t manage the basics of reliability and still deny that they need good testers.
CRM with agent baked in that can properly do stuff. No idea why attio/twenty are soooo bad at this. It's a table. getcrme.com / https://github.com/ChristianSch/crme
and gargoyle, an activitypub server with a (theoretically mastodon compatible UI) https://github.com/myfedi/gargoyle. Was annoyed at the homogenous fediverse dev teams out there that don't want their precious service federate with others. I want more federation (tested it with bookwyrms and lemmy for now. Mastodon/GTS also working ofc) and a pretty UI and not waste time with weird identity politics. You do you. I want an open fediverse, not a filter bubble. And GTS was too hard to hack on.
https://www.learnchess.ai — The chess app I always wanted (I've tried a lot of apps in the last years but they always lacked some fundamental feature and/or had terrible UX).
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.
By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.
It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch etc...)
MacroCodex helps you spot dips in maintenance calories from metabolic adaptation, then auto adjusts your calorie target and macros so your plan stays aligned with your real maintenance calories (TDEE).
It's very useful to those who find it hard to gain or lose weight.
it's a completely free app, no paywall, no unnecessary data collection.
Personal (as in, "for personal use, not a product") conversation partner -- I speak in German, one level is correcting the mistakes, allowing me to reformulate the statement, another level is responding to the intended idea. Rinse, repeat.
Built TechnoJam (https://technojam.app), a music-making app for kids 4+. It’s a DJ launchpad (drums, bass, melody, chords) but every tap is quantized to stay in scale, so kids with zero music knowledge can have tons of fun making electronic music.
Deliberately no ads, no subscription, no tracking, works offline.
still very early and im trying to keep it very affordable, since the whole point is I dont want people wasting their money on hustles that were never legit
not quite, it doesn't just flag everything as false. Some hustles
come back with high legitimacy scores and realistic income ranges
that actually match the claims, but might take longer to earn the first dollar. The point is separating the method from the creator's real monetization — sometimes they're the same thing, sometimes they're not. if people are gonna fall for these quick hustle tactics and lose money, id rather them use this and make sure its not a full waste of time
I'm writing an extension to the mkv file specification to embed simple scripts that would allow someone to do choose-your-own-adventure style videos directly in the file themselves without outside assets. I'm also making modifications to VLC and mpv so they can play these directly. I've had some success already, but I've discovered a few features of existing videos like Bandersnatch that I've had to go back and add into the specification.
On top of that, it's lead me down the rabbit hole of a 1995 (limited) theatrical movie called Mr. Payback, which may have only ever existed on 50 sets of laserdiscs distributed to those theaters. I'm hoping to track down a copy of it... if anyone had any clues on that one, I'd love to hear them. I'd purchase a Domesday Dupe device and dump it. But it may be a genuine lost movie.
> gmd indexes local markdown with full-text, vector, and hybrid search on Typesense; web search, fetch, crawl, and research; llm-wiki pattern and agents; local or cloud.
Working on a claims automation service for a pet insurance company I work for. Interesting because its backoffice facing but still helps our end users to get their reimbursements faster and makes the feedback loop when we need more documentation from them shorter.
I have been experimenting with methods of reading books and creating software for these methods.
For example, I was inspired by the activeness of typelit.io when reading - typing out an entire book helped keep my mind from wandering when reading. But typing the whole book is too tedious. I wrote a few scripts to mirror the words on an epub, which does help with focus but isn't quite good enough.
My current epub reader software I use requires you to press a button to reveal the next word. This has dramatically improved my reading comprehension, prevents inadvertent skimming, and keeps my mind from wandering.
I'm still experimenting but for those who have ADHD or are borderline ADHD, it's quite a revelation - I can finally read without my mind wandering.
3 hours trying to remove an oil filter from tractor. Chain clamp mishaped it, I ended up shredding it, ripped out the innards, all the tin down to the intake rim (yes, shredded metal everywhere) until finally used needle nose spread open in two of the intake holes and a plummers wrench for torque finally loosened it.
Reading Brand's quick little life changer kept me going with surprisingly few cuss fits:
The Maintenance of Everything: https://search.worldcat.org/title/1511798465
Thanks, Stew!
I continue to work on my city builder game Microlandia, launched here in HN ~6 months ago. I originally predicted a few dozen urbanism nerds would play it, but now almost 10,000 copies sold. I'm still a solo developer but now I collaborate with 2D, 3D and music artists. Which is good because the original art that I drew myself for the launch was horrible.
I'm currently working on modeling energy, climate and new policies like universal basic income
https://microlandia.city
This looks awesome. I’m pumped to try it out.
This reminds me of what "Hell Mod" did to Diablo I: Basically reinvented the game as it would have been if Blizzard hadn't been constrained by money or time, and knew what worked from their sequels.
Only to Sim City.
I've played a little bit of it so far, and really enjoyed it.
Man looks amazing, the detail level of the simulation seems to be in another level compared to sity skylines and co. If you need any help or just chat about this, reach out to contact (At) khorchani (dot)fr
Steam says its unavailable on Mac's with Apple Silicon processors, is that right?
Only Apple Silicon is supported. It's unavailable for Intel, sadly.
"... new policies like universal basic income."
Is the engine honest enough to reality to demonstrate failure?
Boooooo
OK, I'll bite - what would a failure of UBI look like?
In browser AI image/video gen: https://intabai.dev/
(V)RAM conscious AI inferencer/generator: https://github.com/cretz/thinfer
I’m working on a tensor computing language/compiler called i with a simple explicit scheduling model (loop splitting, loop ordering, input “staging”). These mechanisms alone are enough to express complex algorithms like FlashAttention, generating target code with techniques like loop fusion, minimized intermediate allocations, and “online” reductions.
Right now there is a runtime and compiler targeting C, written in dependency-free Rust, and a minimal Python frontend. The project is very much proof-of-concept stage so not yet fast. Working on a CUDA backend now.
The goal is to enable automatic discovery of FlashAttention-style optimizations which is not feasible with current compilers.
Very open to feedback/discussion from anybody interested in or knowledgeable about tensor compilers!
repo: https://github.com/ilang-dev/i
I'm working on Hiring Method (https://hiring-method.com).
After 1.5 years of development and two exhausting pivots, I’m incredibly happy to finally have our v1 live!
While most of the HR tech is rushing to use black-box AI, I built the exact opposite. It's a transparent, math-driven fitness engine. It extracts objective data from CVs and calculates how well applicants match requirements, letting you see the reasoning behind why someone scored an X%.
If anyone here builds in the HR space or regularly hires engineers, I would absolutely love your feedback or a roast of the landing page.
PS This is a project of immense importance for me, I've been working on for past ~2 years, I'd appreciate to know why this comment is flagged.
As someone who worked on HR Tech in 2024-2025, I think you're really solving a problem here. Cat is out of the bag already it's not like HR can go back to the pre-AI world ... I'm also puzzled by the flags. Congrats on your project :)
I like the landing page.
flags or downvotes probably come from people being skeptical about automated CV evaluation. in europe this is also legally questionable.
also matching requirements should be secondary to experience. someone who has done a few react websites will not be as qualified for your react job as someone that has done 10 years of angular and vue and can learn react in a short time.
Still plugging away at Breaka Club, where kids take photos of their hand drawn art and build games using it. Starts out as no-code, photograph an AprilTag and it imbues the image with functionality.
https://breaka.club/blog/why-were-building-clubs-for-kids
We also teach kids visual scripting in Overcooked 2!, allowing kids to code their way through the levels of an existing much beloved game:
https://youtu.be/ITWSL5lTLig
I'm running an in school pilot this week (Lunch time school club).
The tech stack for the main product is honestly pretty intense at this point with full multiplayer support, offline play, transitioning from client authoritative to joining a remote server. Built atop GodotJS, TypeScript bindings for Godot, which I maintain. Huge monorepo with over a million lines (yes, I'm aware that's NOT a good thing), and GodotJS itself is not included in that.
This is cool. Sent you a connection request on LinkedIn :)
This is super cool! Nice work!
I'm finally fulfilling a childhood dream of restoring a Heathkit oscilloscope. I managed to nab a functioning IO-12 at the thrift store for $75!
Don't tell my husband that I spent more than $200 on parts and supplies for it.
I've wanted a Heathkit since I learned about them as a teenager, and this is the first one I've ever seen in the wild. The original owner left the date he assembled it and his callsign written on the inside! I looked him up and he died in 2013, but by sheer happenstance I'm restoring it 58 years to the day that he initially built it. I got super lucky with this unit because as far as I can tell, it's only been run a few hours in its entire life. I really only have to replace aged components because they're physically breaking down, I expect the thing will outlive me once I'm done with it. Can't wait to hand it off to a bewildered young EE in another half century.
$275 to restore a long-held childhood dream is cheap, I hope your husband wouldn't complain about that.
Container orchestration for agents: https://github.com/DeepBlueDynamics/nemesis8
Rust-based hybrid search engine: https://github.com/DeepBlueDynamics/lume and https://github.com/DeepBlueDynamics/shivvr
Agentic terminals: https://github.com/DeepBlueDynamics/hyperia
A browser extension to export conversations from Teams. I initially needed a readily available tool, I was ready to pay a few bucks for it. Turns out there isn’t an alternative for me because existing ones require instance admin to enable this, Microsoft Graph API permission, or some other requirement which I could not fulfill. Then started vibe coding it. Once it started working, I thought “I’m sure that there are people out there who needs smth like this” and pushed to GitHub and extension stores of popular browsers. Now more than 15000 people use this. https://github.com/gediz/teams-web-chat-exporter
After getting the top spot in What Are You Working On in Feb 2025 ( https://news.ycombinator.com/item?id=43157056 ) I started a company on that idea at https://getcomper.ai . After solo building for 11 months I found a co-founder, got an angel investment, then got some ex-Miro folk on board and we are now building the product at breakneck speed.
We're a collaborative canvas + context engine for all the code and docs in your company, with a zoomable UI + CLI , where you can collaborate with your co-workers and agents.
We map technical debt, agent readiness, code complexity, security scanning, bus factor and more, so you can easily see how all the software in your company runs.
One of the most complex things is our incremental git blame engine built on top of GitOxide, as our backend is fully built on Rust. Our frontend is built on PixiJS so you can explore at gaming speed with 60Hz refresh rates.
Recently we sponsored Rust Week in Europe and a hundred or so developers tried our mini-game which is GeoGuessr for code, and got rave reviews. Future is looking bright!
That's a pretty neat idea. What does "map technical debt, agent readiness, code complexity" look like? How does that get done?
Are you doing a bespoke canvas engine or using tldraw/excalidraw?
bespoke canvas + sync engine (based on pixijs). We want to be fully on-prem capable.
Snapshot-fork microVM sandboxes for AI agents on Kubernetes.
Repo: https://github.com/paperclipinc/mitos
Multi Agent setup to tackle complex problems using the diversity of multiple LLMs. All for personal use but finding it very useful especially what I call the 'all angles' where it runs multiple strategies parallel then a judge agent presents summary including a view on how the strategies agreed and diverge from one another.
Repo with video: https://github.com/monkeydust/rightmind
Working on MyTraL - sovereign athlete / personal training log: https://mytral.fitness/
I went on sabbatical to fulfill my dream project - consolidating 30 years of training logs that span everything from paper and Excel spreadsheets to various fitness services and devices I used. I'm enjoying the technical challenges involved - digitizing paper hand written logs using OCR / visual generative models, navigating the maze of athletic metrics with their crazy trademarked names and SOTA multidimensional models. Having incredible fun building AI coaches: agents ranging in character from Al Pacino in Any Given Sunday to the coach from my teenage years, utilizing ICL / PFN model-based predictions, ... and more.
The best part is the rush of memories while ingesting my own history - photos and recordings I completely forgot, as well as navigating data shared by friends - records they didn't see in years because the original applications they used no longer exist or won't run on their current HW.
I've been working on getting another major release out for my side project Materia[0], hopefully by or on the solstice. Materia is a GitOps continuous delivery tool for Podman quadlets: it handles installing/removing/updating files, installing secrets, restarting services and dependencies, rolling back failed updates, and more. I've been working on this for almost two years now and am pretty happy with how its coming along and the growing user base. Plus it's been a fun excuse to try out some new things, like creating a Varlink API or different CI/CD setups.
Besides Materia itself I've been bouncing around some other ideas for the Podman quadlet ecosystem. The biggest one is Athanor[1], which re-uses the same plan-execute system and primitives provided by Materia to backup Podman volumes.
I've also been kicking around a clustering system for Podman volumes called Firmament that uses Serf and the built-in Podman import/export API to move volumes to where they need to be in the cluster. But this will probably wait until Materia hits 1.0 before I really start putting effort into it. Or if my homelab needs something like it, whichever comes first :).
[0] https://github.com/stryan/materia ,main site https://primamateria.systems [0] https://github.com/stryan/athanor
Working on https://routing24.com, free route optimization for businesses.
Recently started some agentic features for paid version, and this lead to a side project https://eatmydata.ai - a question-to-sql-to-dashboard builder, where data doesn't get exposed to AI (with bundled in-browser SQLite vector search, NER and many other features).
The latter is open-sourced under MIT: https://github.com/eatmydata-org/eatmydata
My wife and I are working on a math/science/CS-inspired jewelry business.
We try to create pieces that stand on their own aesthetically but have a hidden meaning. We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one).
Store: https://studio-galois.com/
Two months ago I went full time on my indie game after just under a year and a half of part time work. I’ve been prototyping in Godot for about 6 years now, and finally had a game that my business partner and I were really interested in and felt matched the current market desires. It’s cozy world builder, drawing inspiration for Sim City, Rollercoaster Tycoon, The Sims, with an aesthetic influence of Stardew Valley, Animal Crossing, and the like.
This was very much a passion project and an idea I’ve wanted to see alive for decades, and also let me explore some tech I wanted to get deeper on. I’m bullish on the the tighter integration of CPUs, GPU style cores, and shared memory. Our game, LocoMo, relies heavily of GPU processing of entities under the hood.
You can see me do a walkthrough of the current state of the game here: https://youtu.be/NbB0DCX8Pis?is=vGEw5oTMu_W9f-zT
Loving the art style! I'm also bullish on the simulation games that can be created with newer architectures.
It’s such an untapped domain, and despite the consoles being more tightly integrated this generation, we’re still mostly using the horsepower for traditional AAA realism-focused graphics, as opposed to this whole new world of computation available.
Edit: Also, thank you! The game has evolved a ton over the last year and is really coming into its own stylistically, bit by bit.
I'm working on OSS security tool that can protect you form credential stealers (think Shai-hulud and similar) or prompt-injected agent leaking your secrets.
agent-vault-proxy is a local proxy that injects real secrets into requests in-flight, so a compromised or prompt-injected agent has nothing to steal, feedback welcome: https://github.com/inflightsec/agent-vault-proxy
[NO-AI]
My wife and I continue to work on Uruky [1], a simpler Kagi alternative, based in the EU.
Last month we launched image search (got out of beta this month), added our own index and crawler (via Uruky Site Search [2]), and reached 100 monthly active accounts (we’ve passed 150 now)! You can also see a privacy-focused independent blogger wrote about us [3]!!
You can check out the main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you can download a copy of the source code (licensed as BUSL into AGPLv3 in 2 years — a suggestion made here in HN)!
You can also now get a free trial for 2 hours when you signup if you pass a proof-of-work captcha (another suggestion made here on HN, and it uses a local Altcha).
Our main challenge continues to be discoverability and outreach because we want to do it ethically. Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications.
Feature-wise, for June we’ve already added a ton of personalization and privacy-increasing features like URL rewrites, cash-by-mail payments, and anonymous vouchers! Upcoming is partnering with ProxyStore to sell vouchers (we’re currently in talks for this), so you can buy vouchers with XMR/Monero or other cryptocurrencies. Then we’ll be looking into increasing our own index, focused on indie/small web.
Thank you for your kindness!
[1]: https://uruky.com
[2]: https://uruky.com/site-search
[3]: https://theprivacydad.com/interview-with-the-engineer-of-uru...
Since you are based in the EU you could try to get on https://european-alternatives.eu/category/search-engines (or any other page listing EU-based alternatives to foreign services).
Surprisingly, my Kagi search for “eu alternatives” to get the link showed this blog post: https://yeechie.nl/uruky-kagi-alternative-eu-based-private-s... as a second result, what a weird coincidence.
Oh, wow, thanks for sharing, I wasn’t aware of that post! We’ve tried to reach out to European Alternetives before, but never got a reply, unfortunately.
I'm rooting hard for Uruky. Is it showing any traction? I would love to hear this turn into a story where it sustains your family and a few employees.
Thank you so much! We would definitely love to have that happen, too! We couldn’t have imagined we’d get to 100 monthly active accounts so soon (and now past 150), but we’d need at least an order of magnitude more in order to have it be sustainable as a full time business for us.
That being said, it definitely looks possible, so we’re excited! As it stands, it’s already sustainable part-time and can go long-term.
I’m continuing to work on my daily word game Tiled Words!
https://tiledwords.com
I checked my analytics recently and over 100 people have 100+ day streaks which kind of blows my mind!
I released custom player puzzles which has been a lot of fun! I’ve gotten dozens of submissions that I’m working through. People are submitting really clever and interesting puzzles. It’s fun to get to solve puzzles I didn’t make myself! There’s more I want to do here (featured puzzles, categories, etc.)
https://tiledwords.com/player-puzzles/page/1
I think I’ve also tracked down an issue that was causing the game to crash on older iPhones. I’m having playtesters run through it now and hope to deploy tomorrow. (Switching some positioning rules from CSS transforms to SVG coordinates)
I recently made some puzzle brainstorming tools using the Datamuse API which have been very helpful for brainstorming words related to a theme.
I’m starting to debate some monetized features. So far everything is free but it would be nice if my wife and I could dedicate more time to this. If I could get a few thousand dollars a month in subscriptions my wife could quit her job and focus more on puzzle creation and improving the game. If you play and have ideas for features you pay for I’d love to hear them!
A small thing I've been building as an antidote to doomscrolling. Open a new tab and see a public domain artwork from a real museum: https://toregard.art
Mostly I wanted more art and colour in my workday - something to look at, learn through and draw inspiration from in the moments between meetings and code. You can create an account to save your favourites and curate your own gallery. Just released collections that you can make public.
Art from: The Metropolitan Museum of Art. Art Institute of Chicago. Rijksmuseum. Cleveland Museum of Art.
good stuff, thanks for sharing
I'm continuing to expand my own deep learning library [1] built with numpy-primitives to support LLM post-training techniques like supervised fine-tuning (SFT) and reinforcement learning with GRPO. It's a good learning experience to work without all the high-level abstractions to "build a wheel" and "use that wheel to build a car".
I'm also looking into coding harness self-improvement [2]. An inner LLM (raw LLM request) + harness solves coding tasks, an outer agent like Claude or Codex that proposes harness changes. I experimented with many things in the past few months that made me realize this self-improvement thing that everyone is talking about is just an experiment design problem. I wrote about it here [3]. I'm continuing to improve the infra around the self-improvement loop, to increase signal-to-noise ratio per experiment. I'm also generalizing the infra to expand beyond terminal bench tasks and to collect some data across different models (harness-bound vs model-bound).
[1] https://github.com/workofart/ml-by-hand
[2] https://github.com/workofart/harness-experiment
[3] https://www.henrypan.com/blog/2026-05-25-self-improvement-ha...
5T OTA to use as a gm/VCA cell primitive for my Tiny Tapeout FPAA.
Specs/area are not the focus currently. I just want to build a few useful blocks with it (e.g. analog summer, filter, ...).
The Ubuntu DDoS last month inspired to me make a better apt cache service. It's looking like I'll be cutting a 1.0 release later this week (after extensive testing in my environment).
https://github.com/linsomniac/apt-cacher-ultra
The primary features I'm focusing on are: It can serve packages if the upstream is unavailable or corrupt, it is reliable.
It snapshots and verifies the cache, and then only updates the snapshot when: a new metadata is available, it has downloaded updated packages that you commonly request, all the metadata checks out.
It's been running in my environment with ~200 clients, ~50 of them get reinstalled every day and then do a full set of package updates and installs. Been working great, even when I shut down Internet access while doing it.
I've been turning my Media Viewer into a complete local first media ecosystem for automated tagging, a media server, phone swiping, and a web version of the viewer so you can access it remotely. https://lowkeyviewer.com/
The thing Im most proud of though is just the viewer, its designed to just open all the images and videos in a folder, and then there is no UI except a right click context menu, the list is a grid or a masonry layout that uses 100% of the space for the images/video so you can just navigate them. It adds anything you open to a local sqlite db so you can tag things if you want optionally. Also control modes that make sense for either a mouse or a laptop trackpad.
I love the idea. Are you thinking about an Apple TV or iOS version for connecting to the media server from the living room?
Attemping to write my own CDCL SAT solver right now. I've experimented in the past with a DP & DPLL SAT solver. I'm currently somewhat mentally stuck on how to create the derived clause after a conflict, but I'll get there :)
I’m working on https://creditcardchecklist.com It lets you keep track of your credit cards and which perks you have used and when the annual fee is going to hit. I often forget to use up the perk before it expires. You don’t even need an account buts you get notified if you make one. Also it’s free!
I also am working on https://trypixie.com - a way to employee your kids legally. It gets money into their Roth and saves you taxable income all while teaching them about working.
I love the idea of trypixie. Thought it was a joke at first. Glad to see it's a wise financial choice.
I’m working on Kern, a small, git native, make and unix inspired llm workflow.
Modules are simply folders, and the tool just reads from stdio and outputs to stdout. Runs are stored in simple text files with all the info of inputs, outputs and other metadata.
https://github.com/vichoiglesias/kern
Mainly https://www.vaava.app/ is a baby tracking/logging app I originally built for myself, now available on both app stores. All the user generated data is stored only on device and is transferred in local network to users who you have paired the app with. There is 0 behavioural analytics, even the crashlytics are 100% optional.
There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.
You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still, like 90% of the features are available for free.
Also https://www.athilio.com/ privacy focused, highly customisable personal data analytics for your Oura, Garmin, Polar and Apple Health (ios port coming soon). Of course there is couple of AI features (with a single switch to turn all off), originally those were built just so I would learn how to embed agents in sw products myself. The whole app was originally built for personal use to fix missing features in the manufacturers own platforms: - Period over period comparisons (this month vs this month last year) - Comparing different metrics - Customizable graphs and other widgets - And of course combining the manufacturers metrics (oura for sleep, garmin for training etc etc) Existing solutions for this kind of software seem to have focus on social (strava), or coaching (training peaks), or they are just straight up crazy expensive with their paid tier (both tp and strava for example).
The baby app seems cool and useful. I love privacy focused apps!
Thanks! Yeh focusing on privacy is good differentiator, large established players just cant really compete in that area in a similar manner. It also reduces operational load from myself when I dont hoard user data. And of course the customer gets a service that respects their privacy. But when focusing on privacy there needs to be adjustments and compromises on UX and such in some areas, but you got to so say no to somethings when sticking to your values!
I've been thinking a lot about soul cultivation as a concept, and the general structure of the soul, and doing a bit of writing on the topic. I feel like this topic is surprisingly under-discussed and under-explored relative to how impactful it is. By soul I mean "the part of you that is an observer", in case this isn't clear. I think a lot of discourse gets caught up with metaphysical speculation instead of focusing on what is there and what is knowable.
Most recently I was also probing people about how they conceptualize of the soul, making my own drawings, and asking others for drawings. If you have a few minutes I would also be interested in seeing how you would draw a soul, given pen and paper or equivalent materials. It often feels like for a lot of people the concept of the soul gets comingled with very confusing definitions.
There's a general problem where certain concepts become so overloaded that just disambiguating and clarifying what is meant becomes a challenge. I will note that if your first thought or question is whether the soul is even real, you might be confused about the definition or we might be referring to different concepts.
Drawing a soul sounds inspiring. I could give it a go sometime. When you asked I realized I still hold a mental model of a spirit animal.
I'm working on rookery, "A PGP-first, self-hostable email server that comes with a web mail client and modern standards out-of-the-box.": https://github.com/oleblaesing/rookery
If you are a privacy minded person like me, you got only a few options when it comes to email with some ease of use: ProtonMail, Tuta etc. Rather than becoming a new competitor to those, I want to give the power of the decentralized email standard back into the users hand. Everyone with a bit of self-hosting/Linux knowledge, can setup their instances for themselves and their friends/family/business.
Bootstrapped that heavy via vibe coding. Used it to learn a lot about the email standard and related technology. However, I find it too valuable to just be a learning project. Now I'm cleaning it up to get in control again and to proof its secureness by rewriting/restructuring/refactoring line by line.
Protonmail (and I guess all others including Gmail, except Fastmail) has a nasty feature, where the sender can put an expiration date on emails and practically get a confirmation you received the email without you ever knowing you received the email.
If the expiration is for example one day, you might never see it.
To my knowledge, Protonmail does not even show information that the email has expiration. Nor can you access log of deletions.
This feature was used against me on a court trial.
I am working on an email spam filter - would it be interesting to you? An extension perhaps?
I've been building native macOS harness called Osaurus https://osaurus.ai/
It's full featured with agent loop, gets work done locally.
It's open-source and Swift-based, we built our own inferencing engine since every other engine is based on Python. Check us out - https://github.com/osaurus-ai/osaurus
Looking for some feedback!
I'm working on a general repo shape/structure linter (language agnostic)[0] - the idea is to enforce things like directory structure, existence of various files (LICENCE, etc.), file naming patterns, jsonpath + schema over json/yaml/toml, absence of potentially malicious unicode. It comes with rule bundles for various languages/presets which can be combined and extended. A goal is for it to be very fast, and useable on huge monorepos. I noticed myself having to add various forms of validation/scripts when coding using AI, and decided to build a reusable, fast tool for this purpose instead of rolling validation scripts for each project.
[0] https://github.com/asamarts/alint
A tide flag. As in, a mechanical device that turns a weather-vane-like flag that moves with the ebb and flow. It has to be powered by the tide, and must be able to withstand the elements. And, must look cool.
Then, I will slap an ESP32 & z-wave on it :D secretly to feed my Home Assistant. :D
https://www.asnotes.io - a Foam / Dendron / Obsidian / Logseq alternative with tasks, kanban board, static site publishing for VS Code
https://www.agentkanban.io - Github Copilot / Claude Code integrated Kanban board with context management
https://www.asmusictheory.com - Music Theory lessons, tools, including piano roll with midi in the web browser
awesome, your notes and music theory apps are very close to two of my hobby projects as well, the main difference is that my music app is guitar-centric
unfortunately, I did not have the time to pursue them. good luck to you!
I've worked on the new Alternative to Wireshark - TCPViewer https://tcpviewer.proxyman.com/
Native macOS app, and build on top of Wireshark Libs, so you can see packet details like Wireshark, and it's much easier to use.
Open Source and License under GPL-2.0 at https://github.com/ProxymanApp/TCPViewer
Fully F# based online voice chat agent
https://novian.works/voice_test/
I’ve been plugging away at my running coach style app, powered by the original idea of training for a trail race while living in a flat area with no easy access to natural climbing that has evolved into a fully functional plan generator: https://runcoach.fly.dev
It works well for me so far and I’m pretty happy with it!
Still plugging away on SourceMinder (https://github.com/ebcode/SourceMinder). I know, I know, everyone and their brother is working on token-saving schemes for LLMs. But I’ve found it to be useful even without the LLM. I’m working on a proper website for it now where you can try it out in the browser (wasm port) — try before you don’t buy (it’s GPL). Feedback welcome.
A side-side(-side?) project:
- Imagined job I want to do: Teach software from the ground up, with good illustrations.
- Side: https://peace.mk/ - Create my own automation framework, because I want to make it clear what infrastructure-as-code is going to do before/during/after you run it
- side-side: https://azriel.im/disposition - a diagram generator like graphviz, but supports markdown, to visualise what infrastructure exists / will exist / will be deleted / is in progress when automation is running
- side-side-side: https://azriel.im/dioxus_codemirror - needed a code editor that supports LSP so manually creating diagrams is learnable
I'm back up the stack to the diagram generator, and hopefully soon back to the automation framework
I've been building a bunch of UIs for my project Texcraft: https://hyphenate.dev and https://ligkern.dev.
Texcraft is an attempt to re-implement TeX with a modular/LLVM software architecture. These UIs take the same code in Texcraft that has identical behavior to TeX, and illustrates some of the inner workings of TeX. The lig/kern one is missing instructions :)
I have also found at least one bug in Knuth's TeX recently and am currently writing it up.
Still plugging away trying to build a AI Infrastructure Database - any input super welcome
https://flopper.io
Aside from that, I've launched a new tool that tries to promote Solar panels. The UK has some of the most expensive energy in the world, so I've been trying to let homeowners and building managers understand if their building's are suitable.
Uses some APIs all plugged together - including the DEFRA datasets for DSM (LiDAR from planes).
https://solarable.org
I'm maintaining a public dashboard that monitors the occupancy of public parking garages in my city (https://www.parkeergaragesdelft.nl). Last year the city council requested this information from the municipality but it's still not delivered. I just finished a redesign that includes references to the relevant city council discussions that aren't settled due to missing data.
Another project is https://www.beeldplek.nl, a timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. The infrastructure is up and running but getting the permit to place the mount has been a slow process so far.
I've been working on a inference engine for a System F Omega inspired language and getting to a point where it is starting to feel good in small programs. I'm not sure why I started this, but I'm hoping to make something like an experience reminiscent of Lisp/Smalltalk by working in an interactive environment.
My goal with this language was to pick a set of primitives to compose and express as much as possible.
I don't have a demo up yet but if anyone was curious https://codeberg.org/lilbigdoot/gloo/src/branch/thinkythough...
The two main features I am missing right now are recursive types (I want to do proper mutual recursion and have been procrastinating) and some form of type classes or implicit modules. Structural typing has been useful and I'm finding a lot of features are falling out for free from that.
Long term goal is to create something with performance within a reasonable range of C# / Java etc generally, with tools for opting out of GC. I don't plan on chasing zero cost memory safety, since I want to spend my "budget" on tooling and expressiveness.
Until the language semantics stabilize I plan on generating some pretty naive JS/TS to play around with real programs, and eventually target .NET and native (likely via C++ transpilation)
If someone was interested in trying it, the thinkythoughts folder contains an ASP.NET server side blazor project with monaco and basic (but broken ;)) syntax highlighting and debug output from inference. I don't expect anyone to be interested but if they are and want samples please don't hesitate to ask :)
I’m still working on my side project, ‘Beanback’ (https://beanback.space/).
It provides digital loyalty cards for cafés (think of an electronic version of paper stamp cards). However with zero apps or customer signup, instead loyalty passes go straight into Apple and Google wallets.
It’s written in Ruby on Rails, which I’m enjoying learning. Still a bit rough around the edges, though it’s free for now so I’d be grateful for your feedback.
Thanks!
Interesting idea! I'm keen to try it out but adding a pass to my android account fails with 'This card is for test use only. Ask your administrator to grant you access.'. There is no contact information on the website but you can reach out through the Beanback account with the same name.
Oops, sorry about that. I've emailed you directly. I'll get a contact page up shortly. Thanks for taking the time to try it out!
Trying to polish a bunch of my projects I've worked on over the years but never had the cojones to release to the wider world:
Hallways (https://hallways.lonnycorp.com) - a web browser for 3D spaces, where instead of hyperlinks you have portals that you can seamlessly walk through
LonnyMQ (https://lonnymq.lonnycorp.com) - a performant, production-ready TS PostgreSQL message queue library and accompanying blog post that walks through its design (of which I'm quite proud of)
https://www.usenym.com/
Everyone is working on personal agents but their identity model is wrong. They act as you, risk your reputation, your data and more. Nym is a personal agent that has (and can make) all of its own accounts and only gets selective read only access to yours.
The goal is to make reliable agents that are able to operate safely in the world to help you do what you want, without exposing your accounts and personal identity to potential harms.
For instance nyms have their own e-mail addresses at nym-mail.com, you can CC them on chains and they can only respond to people on that chain with a lease of 5 days, or permanently for people you specifically add.
I'm working on an easy-to-embed typed language called Ekto. I am taking a lot of inspiration from Koka and aiming to support full multi-shot delimited continuations all while keeping the virtual machine deeply predictable from the host side.
I'm also rebuilding an integrated task/knowledge/publication system I'd previously built atop Gemini's Gemtext format. While I loved the simplicity, I've discovered that there are lots of burrs in that design, especially on the publication side, which I'd be able to lift by using a more fully featured document format like Djot.
Nothing besides normal work. Sometimes is good to do a break on personal projects after 3 years nonstop
I’m working on a coding agent that doesn’t have access to the shell. Essentially all it could do is edit and read code, verify and run tests. But due to that limitation I’ve made it target only rust projects for the time being.
https://github.com/Kapperchino/agent-joe
Im still working on station display: https://stationdisplay.com/
I also just posted a new blog post on trash valorisation: https://stefan.schueller.net/posts/kva-winterthur/
I've been working on my vision for a better web app development ecosystem. https://wildloop.dev/
It currently exists of 12 libraries/tool, most of which are pretty stable by now, though some are still very much in flux.
This is one of those things that turns out to be kind of a lot of work. :-)
I've continued working on Eidetica, my decentralized database project. I recently added support for a client/server architecture so that it can be transparently run as a local daemon for background sync and sharing the local storage with multiple users. I've been making progress on integrating blob storage next, as well as scoping out WASM based "lenses" for handling decentralized version/schema updates. https://github.com/arcuru/eidetica
I've primarily been testing it by building out my AI tool chaz into an Eidetica-native AI Agent framework for decentralized Agent sessions. It's working surprisingly well, it maps pretty well onto the storage model and it's uncovering issues with Eidetica I need to fix (which was always my primary reason for building it anyways). https://github.com/arcuru/chaz
Separately I'm building OptiMap, a SIMD-accelerated hashmap repo that explores the design space for hashmaps and benchmarks different approaches. This is mostly for my own learning but I'll eventually turn into a blog post. https://github.com/arcuru/optimap
https://muy.video
https://github.com/jpfaraco/muy
I've been building this little animation tool I’ve wanted for years, inspired by one of Bret Victor’s demos from his talk “Inventing on Principle”. I wrote about it here [1].
Basically, instead of setting keyframes and tweens, you perform animations in real time: select a layer, manipulate its properties and the timeline records every frame.
No install, no account needed. It's like Excalidraw, for animation.
I still have some ideas and hope to keep evolving it. And I hope other people find it useful for making neat videos.
[1] https://joaofaraco.com.br/en/projects/muy/
- https://namebrewery.com: An MCP for looking up domain name availability. Brainstorming names within the LLM has been great and now I can have it do the registrar look ups from within the LLM too.
- https://altitag.com: A real estate photographer can upload a drone photo and get points of interest pins overlaid on the photo using EXIF data. The annotations help provide some nice neighborhood context without needing to open up Photoshop.
Been working on optimizing CLIs for cheap agent use and figuring out how to build integrated agentic features that aren’t a full chat interface. Agent UX optimization is kind of fun! Much more testable than human UX, though it’ll be interesting to see how much generalizes across model families.
Been doing this to improve/simplify the grammar for Trilogy[1], a streamlined SQL language - I’ve been planning a redo of one feature and it’s nice to be able to rapidly get feedback on various syntax success rates. Also been particularly useful to optimize error messages, which should help people too.
[1] https://trilogydata.dev/
I’ve been playing D&D for a few years with friends, and over time we’ve built a rich world..full of contradictions because I can’t remember half of the improv I do as DM.
I built https://loracle.app to automatically build a wiki of various entities in our campaign and enable rag q&a with an ai assistant about specific world facts.
awesome, i used notion in the past for this but it never felt right.
I'm working on building a Gaussian Splatting PLatformhosted on Cloud GPUs so folks can integrate capture/splat rendering in their own apps.
https://splat-3d.com
Currently in beta, working out some pipeline optimizations. Looking for people to test! Feel free to try it out, join the discord, etc. Looking for feedback on the experience, reliability, etc.
The goal is for folks to be able to tune their own pipelines, right now I am working on adding more API params/knobs. Looking to build a good capture guide too, since most folks struggle with capture IMO
Too many things :tm: From Campaign Management CMS for an organization I'm part of. To various reverse engineering one offs.
Today I caused thermal runaway on a BLE thermal (sic!) printer. That melted half of its components together before I noticed. The fun fact is you can do that witouth authorizing, as long as printer is turned on "poof".
Now I'm trying to figure out a BT protocol if DJI Power station, so I can read and track its metrics.
I wrote an improved driver'ish for cheap 5G modem recently. I've been on the last 5% stretch for few months lol.
And I started reverse engineering my LandRover OBD/CAN stuff, so I have some data to publish for other hakers.
I am working on an open-source alternative to Quokka.js. https://github.com/apatki1996/quoll
It started out as a project to try Fable. It wrote a lot of the code and I am learning as I go. I am still questioning some of the design choices but so far it is working. I do want to improve it, so any feedback is welcome.
When I was working at amazon (left May 8) working on agents was all the rage. Combined with initiatives that set goals for nearly all services to have a MCP built and available by the end of the year agents will be even more emphasized in the future.
However what happens when you actually build and launch your agent is customers try it, do some initial runs and then go ask your manager to automate their use case. That is why I have been building https://toolscaled.com/ The goal being work through your problem space using agentic chat (like Claude Desktop) and then at the end convert it to a workflow. I am pretty close to launching and have been testing. If you're interested send me an email! (if you do sign up just fyi its still in beta so YMMV.
Interesting to hear that Amazon is doubling down on mcp
Launching https://leafy.you soon - a general-purpose in-browser assistant. Compiles reports, fills forms, interfaces with 900+ services you own.
More broadly, I spent ages developing a self-solving Kanban for mid-sized companies and enterprises (https://kodan.dev) - controllable autonomy level, multiplayer support, remote coding server, works on multirepo projects, mobile support, previews, and more. The pain exists, but it's pretty hard to break the integration barrier.
So I'm spinning the feature I used the most into a separate, easy-to-understand product for now.
Web-based markdown editor that can handle notes, colab documents, todos, long stories, as well as chats or communities.
https://kraa.io/about
I know that there are already way too many markdown editors out there, but I think Kraa still offers something unique in this space (combination of minimal UI, plentiful features and some unique stuff like real-real-time chat).
Example of how easy it is to create a 'community' on Kraa: https://kraa.io/kraa/trees
Also - no AI integrations whatsoever.
Working on a brand-new version of my free project management tool, Post Haste. It’s a tool for creating new projects from templates where you set the initial folder structure and project settings, as well as enforcing naming conventions. It was initially created for video editors but you can use it in any industry.
It’s a complete redesign from scratch that combines Mac and Windows into a single codebase via Dioxus (right now they’re two completely separate codebases).
Existing app is at https://www.digitalrebellion.com/posthaste
I’m working on my guitar practice app, Captrice https://www.captrice.io after a brief gap.
The last few months I’ve been reading a lot about neuroscience behind learning and practicing music and I’m fascinated by the subject. It has helped me realise why the app works for me, as well as my own mistakes that held back my progress for many years despite putting in decent efforts.
It was a much needed inspiration to continue working on it with a re-evaluated roadmap.
I recently wrote a blog post about it - https://www.captrice.io/blog/what-makes-captrice-work.html
Helping my wife ship https://quantral.com - a platform to monitor X and Reddit for financial chatter and score companies and authors. We discovered lots of stocks early in this AI cycle from X. There’s lots of noise, so we built a platform to more easily monitor the social sentiment for our investment purposes, but now we are trying to spin out a fully fledged consumer product.
On-demand game servers: https://www.instalobby.io/
Basically every game server hosting provider bills monthly, but most players don't play all the time. So I'm building instalobby with a friend to provide to gamers on-demand hourly billed game servers.
We're starting with Valheim, but expanding to more games hopefully soon.
(If anybody wants to try we are offering $1 worth of credits to every new account)
integrated agent review surfaces with https://github.com/backnotprop/plannotator
HTML/artifact canvases have a lot of potential
https://x.com/backnotprop/status/2064951065439834378?s=20
https://x.com/backnotprop/status/2065436433985474726?s=20
https://github.com/plannotator/effective-html
Shared context workspaces are important
https://plannotator.ai/workspaces/
https://github.com/plannotator/tot
Still working on my web site quality assurance software. Getting close to private beta (hopefully very soon). Back end is written in Java and built with Javalin and Jsoup and persisted to PostgreSQL. Front end is JS/React. My back end crawls the designated website and for each page runs a number of analyzers to assess the quality across the following categories: accessibility, content quality (spelling, missing spaces between words, etc), performance, security, content policy (required phrases and forbidden phrases), site integrity, and seo. Each site can be configured to have its own custom dictionary (for spell checking). It's been a lot of fun and I'm looking forward to taking the wraps off it.
Working on my version of Dynamicland. Today I got this small thing working where I can now live-edit the behaviour of the editor script, see https://www.youtube.com/shorts/ZjxPIv-XwoU
Repo is here if anyone wants to have a look: https://github.com/deosjr/unreal-talk
And a browser-based version can be found here: https://deosjr.github.io/dynamicland/live
Worked on awardlocker.com for a while, an award flight search engine. I ended up buying a bunch of business flights with points so my interested died down a bit, but quite useful!
https://badombre.com/missing-link/
I haven't decided to release it publicly (if so, it'd be free). But it's a link library for my Mac for all the links sent/received in Messages. Apple's new suggested way to do this, of course, is with Siri AI. But I have been using this and like it.
Curious if anybody else would want it.
A DSL for machine learning programs: https://pypie.dev/ Embedded in Python, written like Python, but with static type safety (e.g. it catches tensor shape mismatches at compile time)
safe/efficient junctions on the road network where I live:
https://josh.works/traffic-bean
I'm working on a framework for general purpose interactive tutoring systems. An SRS background process over a pluggable system of pedagogy protocols over a given curriculum. This is at https://github.com/patched-network/vue-skuilder, or https://patched.network/skuilder
With this framework, I'm making (among other things) an early literacy app at https://letterspractice.com. My aim here is to hit >= 75% efficacy of Mentava at <= 1% of the price.
The app is near to production readiness, and I'd be happy to share access now with anyone who has verbal but non-literate kids. Be in touch if interested at colin at letterspractice.com
I'm working on a semantic layer for Nextcloud: https://astrolabecloud.com
The service is composed of two open-source services, namely a Nextcloud app (Astrolabe) and backend (nextcloud-mcp-server). I use the service as an MCP server across a number of apps, and others use it primarily for semantic search over large numbers of documents.
Both are open source, and I'm working on a managed offering, completely based in the EU, for individuals/teams that already use Nextcloud and want to be able to use semantic search across some or all of their documents.
Essentially your data stays in Nextcloud, and the MCP server backend keeps a vectordb in sync to enable semantic queries over your content. The number of supported apps is growing, including:
- notes
- deck cards
- files
- news items (RSS feeds)
- cookbook recipes
- contacts & calendar
And I'm adding support for other apps as I go.
A share collab rich text editor: https://collabedit.duckdns.org/ and trying get back to open source contrbutions.
Tritium, the legal IDE.
This week we're working on a modular WASM build to allow others to embed Tritium directly into their own platforms. AI native startup law firms love it.
https://tritium.legal
I'm working on GPS tools to help support my current contract. I've found there are no good tools for tracing a route on a map and having a mobile device think it's traveling that route. I'm not just talking GPS coordinates, but speed, direction, motion detection, precise timing between waypoints, being able to play these trips forward and backward, step by step, etc. I'm talking time-travel debugging for GPS applications.
It's still early days, but I have a demo running. Unfortunately, it requires using a drop-in replacement library for CoreLocation. That alone may make it infeasible.
I’m working on Peak Flow Meter Diary, a simple app to help people with asthma record peak flow readings more easily, then combine those records with environmental data to provide earlier warnings about possible triggers.
In the UK alone, around 7.2 million people have asthma. Globally, WHO estimates that asthma affected 363 million people in 2023 and caused 442,000 deaths.
Peak Flow Meter Diary is not meant to detect every possible trigger. It will not warn you if someone suddenly sprays perfume nearby, or if a dusty bag is opened in the same room. But it could help with risks that can realistically be monitored ahead of time, such as weather, pollen, pollution, cold air, storms, and similar factors. The aim is to make daily tracking easier, show simple visual warnings and notifications, and make it easier to share useful records with clinicians.
I’m also trying to build it in a way that reduces paper, plastic, and electronic waste. If funding allows, I would like to make the project carbon-negative.
That is the bigger dream: to make a small example of how even modest start-up can think about environmental impact from the start, and use it as a practical showcase.
The pitch and full project explanation are here: https://www.kickstarter.com/projects/why5/peak-flow-meter-di...
Feedback welcome, especially from anyone with asthma, clinicians, carers, or people who have worked on health tracking tools. By now I know that my kickstarter is not going anywhere, so I would value any input was the idea that bad, or lack of marketing and accessing appropriate groups etc. I think this community has a lot of experience so I would like someone to share what could have I done better. Do not be shy to tell me if you think idea was waste of time.
Agent harness for durable workflows, starting with Temporal.
Most agents for durable workflows feel like toy examples. There is no "Codex" or "Claude Code" for, say, Temporal. So I'm building full-featured agent for these runtimes. Why? Because it makes long-running agents easier to operate and scale. Currently, all frontier harnesses need to run inside a guest OS and need a dedicated process, this is quite challenging to orchestrate and maintain.
To make it work, I had to figure out what part to run as deterministic workflow code, and what part to run as I/O or side effects (aka activities). I'm using a CAS for most of the payloads to maintain a lightweight footprint in the workflow code.
Currently supporting skills, MCP, prompts, a virtual file systems, and soon sandboxes.
https://github.com/smartcomputer-ai/lightspeed
I'm working on a dashboard for ranking llms, then finding the best local (by size) and/or hosted (by price) variants of the models. Currently have ArtificialAnalysis leaderboard for ranking, ollama registry for local models and openrouter for hosted models. https://ollamadash.up.railway.app
By default, home page gives all models in the leaderboard, local and hosted. Search for models in the search box on the home page to find the top models by ranking, local(by size) and hosted (by price).
You can also do deep querying/sorting/searching filters of models in each of these three nodes (see the other tabs on top).
The next steps I am working on (would love feedback on this or anything else):
Phase 1: - Change clicks on home page model tiles in one column to search and show models filtered by that across Artificial Analysis, Ollama, OpenRouter - User specifies their system VRAM (unified/dedicated) and we automatically filter the home page with models that would fit on that RAM - in the three columns. - User specifies their price range (per MTok, max across input and output), and we similarly filter and rank by those models across all columns. - User specifies both (VRAM and price range), and we filter by both - leaderboard is union of local and hosted, local by VRAM and hosted by price range match.
Phase 2: Once I have this working, add a local desktop client that automatically reads user system and infers VRAM, renders app as webview. Considering pyside6 with Qt for this.
Phase 3: On desktop client, user can download and chat with the local models automatically based on leaderboard, optionally call hosted models, etc. Used primarily to evaluate and compare local vs hosted models for user's use cases. Also have some interesting alternate experiences to host within the local private app for user to interact with llms, agents, etc.
Do let me know whether this seems useful, or how I can make it more useful.
Kudos for trying and I think it is a great start. Part of the issue is still that individual models differ greatly ( especially local ones ) in terms of what they can do ( and do well ). The problem is that you want some more custom tags ( ideally created by users who want to contribute to tag's accuracy ) 'can it generate csv', 'can it follow schema', 'can it offer position on $conversy_Z'.. none of these will be obvious, but will relate to real use cases.
We go back to the question of 'what does best actually mean'.
I made a book, Simple Machines Made Simple, and I got about 11k copies shipped to my house about two weeks ago. I'm now trying to fix all the books and get them shipped out. They are books with little mini demos in them, and about 80% of the books need some type of rework. So it's going to be a long few months.
I also made Computer Engineering for Babies which I've posted about on here a couple times before.
https://hackylabs.com
I'm still working on a self-hosted search service called Hister with the goal to reduce dependence on online search engines.
Hister is a full text indexer for websites and local files which automatically saves all the visited pages rendered by your browser. It provides offline result previews, a flexible web (and terminal) search interface & query language to explore saved content with ease or quickly fall back to traditional search engines.
I've been using it for a few months and as my local index is growing I can avoid opening google/duckduckgo/kagi - and even websites listed in results - more and more frequently.
The initial reception is overwhelmingly positive with already more than 30 contributors and hundreds of contributions - perhaps you can find it useful as well. (Or at least have some constructive criticism =])
GitHub: https://github.com/asciimoo/hister
Website: https://hister.org/
Small read-only demo: https://demo.hister.org/
I'm working on a system-wide desktop ad-blocker and privacy guard called Zen (for almost 2.5 years now): https://github.com/irbis-sh/zen-desktop
Working on it has been a joy as ad-blocking tech touches so many aspects of software engineering - from systems and security to the intricacies of JS environments in browsers.
Benefits-wise, system-wide filtering disables ads and tracking not just in browsers, but desktop apps as well (which you'll be amazed how much they do). It's especially relevant now as Google is re-activating their efforts to hinder ad-blockers by killing Manifest V2 in Chrome. So much of tech is actively bleeding cash on AI right now, which means the efforts to screw over users will only accelerate. This makes something that sits at the network level indispensable imo.
I'm working on Ito.ai : https://www.ito.ai/
It's Agentic QA + auto-provisioning sandboxes. Makes it plug and play to do code reviews that actually run your code instead of looking at it really hard. B/c the agents control all of the environment (ie running all of the services), it's able to collect runtime evidence about pretty much everything.
A couple open source examples: (Excalidraw) https://app.ito.ai/share/d1cb1475-fbe5-4c71-901b-409ba2aa6d6... & (n8n) https://app.ito.ai/share/bb7d73aa-fd08-482d-9938-87938e2a232...
I have a nonlinear attention mechanism which seems to improve data efficiency, but it's slow. I'm trying to learn the python CuTe DSL to speed it up.
I'm also reading Principles and Practice of Deep Representation Learning, Or: A Mathematical Theory of Memory.
Any fans of Divvy/window management software? I'm working on a replacement, its near production level, open to any thoughts/suggestions. for apple silicone.
AWS for AI agents - https://instavm.io
Providing sandboxes through a CLI. Guardrails such as egress control and secret injection and audit trails built in.
We can also be used as 3rd party sandboxes in Anthropic managed agent and OpenAI sdk.
https://instavm.io/blog/self-hosting-claude-managed-agents-o...
I’m building https://design.withfudge.com, a Prolog-backed design search engine that lets designers/agents query structured design knowledge from real websites. It uses data from my other startup, https://fontofweb.com, to help designers find concrete inspiration e.g fonts, colors, layouts, screenshots, and patterns, so they can make better design decisions.
I needed to get customers for Hyperclast [1], but I keep putting off GTM (go to market) tasks. I'd rather be building, you know. So I created https://tractionbeast.com/ as a tool for myself. It gives me bite-sized GTM tasks every day. I just review and do them. This completely removes the inertia for me! My other founder-friends like it too so I turned it into a product.
[1] https://hyperclast.com/ - open, fast, self-hostable replacement for Notion
Trying to adept an O. Henry short story into an AI animation short. If I'm happy with the results, will be sure to publish a detailed breakdown of the work.
I'm working on Bsharp, an Android app to teach perfect pitch (absolute pitch) to my kids: https://play.google.com/store/apps/details?id=com.bsharp.app
VERDURE is a creative sandbox where you grow and shape plants through trimming and pruning. You can also unlock a 'recipe panel' to further customize them and build a entire collection of your creations. I like to try and recreate real plant designs with it. It is a bit unusual.
https://store.steampowered.com/app/4069810/VERDURE/
ive been getting claude to reverse engineer my raybans glasses case, so i can figure out a 3d printed insert to put in thats less likely to break.
in the process, figuring out some tricks for getting opus to work with 3d a bit better
two tricks ive found is to:
1. get claude to present all the orientations to you, then pick which one after 2. convert 3d problems to 2d ones - get it to draw streamlines describing the geometry, rather than trying to look at the whole thing in 3d
fable was a fair bit better at working in 3d than opus is. well, opus mostly isnt
I'm working on Totem (https://totemkb.com), a collaborative knowledge management system built entirely in Rust without any HTML or web-tech. Currently supporting Windows, MacOS, Ubuntu, and iOS (although the iOS build is currently in review).
Although the goal is to build an efficient all-in-one-workspace, I wouldn't run a company on it just yet. Right now I'm looking for early adopters who don't mind the rough edges and relatively minimal feature set.
You can grab an early build at https://alpha.totemkb.com.
New workspaces will be in a 14-day 'trial' mode, email rohit@totemkb.com if you'd like me to upgrade your workspace free of charge.
Terms of service link seem not to work. Otherwise it looks interesting.
Thanks for flagging that, you've likely saved me a few days of back-and-forth with Apple's reps for the iOS review process. Fixed now.
I’m working on tools optimized for agents, not humans, as the main users. Token efficiency, state, and loops matter more here than traditional UX.
- vibesurfer (https://github.com/frane/vibesurfer): a web browser for agents, without Chromium and CDP.
- agented (https://github.com/frane/agented): a “text editor” for agents, with undo, state, and LSP support.
- grpvn (https://github.com/frane/grpvn): a local chat for your local agent and LLMs.
Adding agents to my SQL canvas (https://kavla.dev)
Here's a live example of it figuring out when to post on HN: https://kavla.dev/hn (spoiler, its noon UTC on Sundays)
And here's it generating an interactive map of 20000 earthquakes: https://kavla.dev/quakes
I feel like the canvas is actually a great way to interact with an agent, everything it does is visible, so auditing what it did is (relatively) easy.
I still got some credits to burn so agent usage is free atm (you still have to sign up to use it though)
CS Final Year Project: Multi-vendor Food Delivery System
2 person team and we didn't do anything manually beside creating the entity relationship, and briefly documenting the overall design system we wanted. Now we are sitting on an almost 80% completed system with 6 more months in hand.
I'm working on water treatment equipment that does not use chemicals. Manufacturing is bloody hard!
https://waboost.com/
We are in the process of writing our own vertical stack with Go to control the machine instead of expensive and handicapped solutions from Siemens and etc.
Working on the theory to unify all existing fragmented ideas on human psychology.
I am working on https://coderscreen.com/
an open source technical interview platform built for modern interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions.
Fairly predictable given the times: a plugin for coding assistants that supports a development workflow that I like :) It's at https://www.shipsmooth.net/.
Perhaps the more interesting bit is that it's in Java (not Typescript or Rust)! Java 25 is pretty neat. Bonus: getting to know how to distribute a self-contained Java program using jlink and the likes: https://docs.oracle.com/en/java/javase/17/docs/specs/man/jli...
Continuing to work on a high-performance observability / log analysis SaaS:
https://logging24.com/landing_a/
The basic idea is to make Regex-scans so fast/cheap that "a metric" can be anything numeric in the text and "tracing" is useless because you can just log (and filter) more things. Turns out Regex at >200GB/s solves a lot of problems.
Metric cardinality explosion is immediately a non-issue, histograms have arbitrary resolution, and you can get from histogram pixels back to the underlying logs. And no need to instrument everything thrice for logs, metrics and traces.
The next big feature I'm aiming for is needle-in-a-haystack searches. The data block headers support it already, but the scan engine doesn't yet use it.
like the idea how many clients do you have ?
Zero to two, depending on how you count, exactly.
It's a side-project from our consultancy work. We're two deep technologists and so far entertaining the notion that we're very bad at (product) sales. But we're trying to learn that now.
I’ve been considering new features on Book Bounce for my use cases. I’m pretty hesitant to start anything new on it while I’m waiting for approval for Google Play…
https://bedtimebookhelper.com/
In the mean time, I’m working on a recipe application I’ve had countless false starts on. It’s centered around iterations and version on recipes, tracking changes to ingredients and directions to build new a new recipe from an existing one.
I’m starting with a go Bubbletea tui this time and I’ve been having a lot of fun with it compared to the React SPAs I’ve tried before. Not feeling compelled to style anything while working on the UX has been nice.
I'm working on a competitive coding gameshow. I'm imagining a combination of great british bakeoff, battle bots, and dota. Basically contestants get dropped into a fully equipped dev machine (all the bells and whistles one could want/expect including neovim, agent harnesses, cool styling, etc and if you want you can always clone your dotfiles and stow them!). I've gotten a decent prototype that live streams from Fly.io sprites to twitch, and I'm able to voice over or have OpenAI do commentary on the match. I've got a demo here: https://www.twitch.tv/videos/2792893261. Still a ways to go, but it seemed like a fun way to tinker with Sprites.
How long do the contestants have?
For my demos I've been running 3 minute sessions but I'm planning to run 30-60 minute sessions depending on the scenario. I want to see people push the boundary of what can be done in an hour (with an agent or without, it's up to the contestant!) and ultimately have the match VODs serve as entertainment but also reference examples for "good" development workflows.
https://github.com/gagarwal304/meridian - Simplest way to analyze your opentelemetry data from claude code to optimize claude.md for better prompting
I'm working on https://xingolak.pages.dev/
I've been learning Basque and wanted to see a visualization of how the semantics move into different grammatical structures when translating between Basque and English/Spanish.
Under the hood it's using Stanford NLP to analyze the input then that analysis is given to Claude to generate the data structure needed to visualize the translation. It's really cool and maybe my favorite of the itch-scratchers I've built for myself over the years.
(Xingolak is Basque for "ribbons," a nod to the visualizing metaphor used in the UI.)
I'm working on trying to get citizens' voices into spaces of power (councils, parliaments...). So far I've been experimenting with scrapping public records and building a solo (and multiplayer) experience for replaying plenary sessions.
Last few years of Congress: https://andratwiro.github.io/riot/?city=congress&solo=1
Reichtag during Hitler's takeover: https://andratwiro.github.io/riot/?city=weimar&solo=1
https://www.storystarling.com - create a non-fiction children's book explaining your super-niche-geek topic to your kid. Pick any topic, your kid becomes the little explorer, we illustrate and print it. Requires registration, but then lets you read the whole book before paying.
You mean by "we illustrate and print it", we have an AI illustrate it?
Yes, the illustrations are AI-generated. We generate the book, lay it out for print, and print/ship the physical copy.
Fair point though - "we illustrate" could be clearer.
A tool that creates sandboxes (docker, podman, orbstack, seatbelt, tart, containerd, kata, firecracker) and then sets up an agent (claude, codex, gemini, aider, opencode) inside it with max permissiveness (no annoying permission prompts).
It creates its own copy of your workdir for the agent to play in, and then you pull changes out ala git diffs or commits.
And it's FOSS: https://github.com/kstenerud/yoloaiStill working on stelae.eu (private WP editor -> static deploy: more secure, faster, cheaper). Its pretty solid already, only working on minor things. The main issue is that I think that I have a real cool product (maybe a bit boring, but in a good way) with good values (anti lock-in, privacy respecting, EU centric, fair pricing, no VC money -> sustainable business approach) but I can't reach the people that would love to use it. So thats what I'm really working on: trying to be more visible.
- https://github.com/rumca-js/OfflineWebSearch - Android app with most visited domains, fast search
- https://github.com/rumca-js/awesome-database-feeds - list of RSS sources
- https://github.com/rumca-js/Internet-Places-Database - list of domains
Implementing a solver/optimizer for the Minizinc challenge in Rust! It's very fun, and maybe next year I will even try and put it into the competition properly. As well, I am working on tracking down the history of Sudoku prior to Wayne Gould's popularization of it in the 2000's, and I have found some really interesting postings on Japanese forums from the 90's about the game.
Over the last year or so I arrived at a (sort of) MQTT semantic broker that facilitates an actor architecture. It supports federation (including transitive, so proxies "just work"(TM)), transparent outbound buffering with disk overflow and encryption with the noise protocol. Building apps on top of it is a joy. Rust.
edit: ah, yes also a broker controlled component manager that can start, stop, monitor services over the mentioned broker. This is the carpet that brings the room together.
https://mdview.io - the best way to read big technical documentations. Right now I am working on Grill Me feature for rigorously questioning and stress-testing plans or designs without leaving the app ui
Oh, I released something with the same name recently: https://codeberg.org/beleon/mdview
I like it!
Thanks, ditto!
I am working on a navigation app to handle road trips with friends.
https://toge.app
The idea is to handle the whole thing, from meeting up at the start point, to multi-day trips, gas stops automagically planned in where you need them.
iOS only right now, Android support is planned but not a priority.
It's a bit of a passion project, as it solves a bit of a "personal" problem, I realize its niche.
I am also not a software engineer, but a DevOps engineer, so it's _entirely_ written by Claude in Swift + Swift UI, Typescript for the backend.
I thought this might be interesting - but I'm on PC and there are no quick ways to pop on that site and see the app in action. Like no screenshots or anything? So I left and likely will never be back. Always good to have some quick screenshots/gifs of apps in action or people bounce on your landing/sales page never to be seen again.
Thanks for the feedback, at some point once the UI is more "stable," there will be more screenshots, I realize it's a must before I go actually live.
I am working on a human-only community called Island. You can request an invite now over at https://island0.com.
TensorZero, LLMOps gateway, was archived yesterday and I forked it to continue development and keep it open source. I also applied for 6 months of codex credits which I will dedicate to the project.
https://github.com/agentify-sh/gateway
I'm working on my self-host TTS cli application for turning articles into spoken audio which I can stream from my PC to mobile device when I'm out and about.
It's called Vocast: https://github.com/cnrmurphy/vocast
Thinking about adding some things like queuing RSS feed items to be converted to audio and a feature for being able to do the conversion from my phone.
I’m iterating on my own coding agent, called `rho`. https://github.com/crustyrustacean/rho-coding-agent.git.
It’s founded in Rust and incorporates a Deno runtime for extensions.
It’s headless now, via JSON-RPC. I’ve got the basics of a trait based system which will enable different frontends. At the moment, I’ve created an extension for `pi` which allows me to use that as the frontend.
What did you learn so far?
I am interested in a similar tool and it would be nice to skip some of the learning
Reflect [1], it’s a local-first privacy focused self tracking and data analysis app where you can set goals and run self experiments
[1] https://apps.apple.com/us/app/reflect-track-anything/id64638...
I'm using AI to de-compile NeXTStep applications back to Objective-C source code.
The idea is decompile something like Wordperfect or Framemaker, then port the NeXTStep code to GNUStep and have WP on GNUStep/Linux.
Still working on my native navidrome/jellyfin client for Linux. Uses Rust and GTK.
https://github.com/Fingel/gelly
Also built out a .fits parser that uses rayon to decompress in parallel making it about 5x faster than cfitsio.
https://www.pedaldrivenprogramming.com/2026/06/8x-faster-fit...
I am currently working on a platform for authors to write nursery and kindergarten books for children. It’s pretty much in alpha stage. https://storybench.app
I am building on a publishing platform that aims to go against some of the tide.
Strictly human content, pagination instead of endless feeds, one-off payments instead of subscriptions, linear feed by default, public profile scoring instead of secretive algorithms.
Hope to share it soon around here, too.
I'm working on a Duolingo for programming languages and framework. Unlike Duolingo it's a real space repetition system
https://fata.dev
Interesting idea. What languages do you support? Can it be used without a subscription?
Rust, Go, Typescript, JavaScript, Python, Ruby, React, Dart, CSS for now. Rails is almost done, Django, fast API, JVM languages coming soon after.
You can try the first module of any course without login, all beginners courses are free after login, a subscription is required for advanced courses
A guidebook to the area I live in.
Easy-search - https://github.com/BlueInt32/easy-search
TUI based interface to search in your files very quickly. I created it from the need to have an equivalent of voidtool's Everything on Linux. It's a bit different though because it's keyboard based. You define zones where you search for files most of the time, and you can manage previous files history. Then there are actions you can perform on each file/folder.
I am researching Proof of Possession for API authentication as a means of reducing the impact of credential their:
https://ben3d.ca/blog/proof-of-possession-api-tokens
It's an important problem but how does this differ from TLS client certificates?
I'm working on an open source and customisable/configurable warehouse management system.
As it's open source and built with a codebase that's easy for LLM's to work with, users can download it and tailor it to their business/operational requirements, although it also has out of the box 'industry best practice processes' so you don't have to reinvent the wheel and can only focus on writing the 10% custom stuff which differentiates your business.
As all the processes are flexible, you can also do proper 'continuous improvement' with your staff - something traditional WMS products struggle with.
No link because I'm finalising it at the moment, but if you are interested please reply!
Been writing a bit on my blog: https://devz.cl
And been working on a Mario-with-guns game concept: http://devz.cl/posts/what-if-mario-had-a-gun/
Thought it’d be a short concept to get from start to finish but the things you need to implement and plan for in a video game can be near infinite and decision paralysis is a real problem for me.
Vinyl-Tags: a set of command line tools to facilitate the process of preparing analog recordings for addition to music libraries. Fetch metadata and cover art from Discogs (or generate your own); co-run with Audacity to locate track boundaries efficiently; add the metadata to the audio tracks.
A 3D optics simulator (lenses, mirrors etc.) - https://opticsketch.github.io/opticsketch/.
I sometimes need to have a quick but realistic model of an optical system without paying a few thousand for some of the well known commercial offerings, so I've been building this.
I have no practical use for this but I want to play with it anyway. Looks cool.
Thanks. There is a free demo that would be good just for playing around with the basics. https://opticsketch.github.io/opticsketch/downloads.html.
It's not signed yet, but I have included the results of a Hybrid-Analysis scan and I am verified by Lemon Squeezy for the full version.
I learned to program with KidSIM and later Stagecast Creator, a spin-off of Apple's Advanced Technologies Research Group in the 90s. I'm re-creating it so a new generation can learn the fundamentals of object-oriented programming the same way I did. I've been working with Dave Canfield Smith (one of the original authors and also inventor of the icon ) and it's been a blast to bring back my earliest memories of programming. All open-source and free of course.
https://www.codako.org/
I’m working on https://getvedahome.com
My mother had a stroke a little over a month ago and I don’t live close by. I went in search of a wellness product that would let me know how she’s doing without her feeling I’m prying too much. I didn’t find one, so now I’m trying to build it. I’m also working on moving closer.
Have you looked at Home Assistant (HA) as your consolidating platform? I helped set up one in a nursery home with mmWave motion, temp, humidity, switches, electricity flow, etc. If they want to, they can control water faucets, sinks, flushing WC, ceiling fans, heat/cool, plugs and switches.
The beauty is that you just need to find a device with either existing comms "protocol" (e.g., RESTful APIs, MQTT, Zigbee, Z-Wave, BT, BLE, Metter, Wi-Fi) that HA understands, or get one of the many community solutions for others (e.g., LoRaWA, 433MHz, modbus).
No, I hadn’t. I appreciate the link! My mom is completely non technical (can barely use an iPad), but this could be a great thing to build on.
https://www.home-assistant.io/
the interface can be set up on her phone, a tablet on a wall, and limiting things to giant buttons and displays is very easy for you.
And, you can monitor and be alerted near real time to issues of course.
Fantastic! I hope you just solved my issues!
I’m still working on filepond v5. A JavaScript file upload library that supports client side image manipulation, chunked uploading, various file sources, and is procedurally animated.
https://v5.filepond.com
My first video game! It's a 3D First Person Puzzle game where Medusa turns you to stone, but your statue remains when you respawn - and you use this to solve the puzzles in the game
https://store.steampowered.com/app/4810350/Medusas_Gaze/?bet...
Created with 0 AI assets
How much of the code do you think is written by AI? Just curious as I do video game development and just recently started heavily using opencode agentic development with the Flash models (instead of essentially using zero AI assistance before). I actually really like the workflow and find it helps speed things up a hair and in general allow faster testing/tooling builds/etc. which are super helpful to make a game feel really good.
Kind of curious how other people are using agentic code tools for game dev!
I wonder how many people are scraping this thread right now and posting into llm something like “take the best ideas from this thread with highest chance of quick revenue”.
Anyway, I’m working on my manual skills of soldering.
I don't think anybody's worried about that. There's much more to it than just having a good idea and letting ai vibe code it.
Anyway, soldering as a service is nothing to worry about so you're good either way.
Making rent as an open source developer.
Desperately trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my terrible HTML skills. Is it working?
https://brynet.ca/wallofpizza.html
I am rebuilding an open source email client i started hacking on 15 years ago. The rise of AI coding agents suddenly made this feasible again...
I am working on an email spam filter - fully local so could run on the client. Would it be interesting to you?
Audion - a scripting language that is very fun to write and lets you make interactive music, installations, generative compositions etc https://github.com/audion-lang/audion using supercollider or any daw and hardware. AI picks it up easy so Agentic coding in Audion works very well too.
hack music
For fun: https://squishy.franzai.com/
For curiosity: https://airplane-ai.franzai.com/ based on Gemma
For profit: optimizing my virtual desktop in the cloud setup for AI First workshops
I’m working on a novel (toy scale) kind of LM that is explicitly interpretable and programmable. In that it learns to predict words from text and you can directly see what it learned and teach it new things without retraining.
I'm working on Kronotop, an open-source, distributed, transactional document database built on FoundationDB, featuring Redis protocol compatibility and a MongoDB-style query language.
https://github.com/kronotop/kronotop
I'm build open source : Sovereign AI Infra, Deployed in Minutes. Deliver Private AI in your cloud organization. Everything in full control.
The idea is simple: Its handle of the complexity for AIOps infra like GPU VM provisioning, NVIDIA driver setup, Docker setup, model download, and launching the inference server. User can run any OSS and AI tools inside their cloud.
website + video demo: https://www.dagploy.com github : https://github.com/dagploy/dax
Putting finishing touches on an open source multi sig solution to authenticate digital artifact, aiming to increase security of the software supply chain. It's open source, completely self hostable, incl internally, support air gapped signers, fully auditable (data store is a puglic git repo). It's an alternative to sigstore, making different decision.
Website: https://www.asfaload.com/
Code: https://github.com/asfaload/asfaload
I'm making a TypeScript type checker in Rust.
tsz is my main side project. Trying to learn from this for how to make software in fully automated fashion. tsz's goal is to match tsc (tsgo) but perform better. I am not passing all tsc's own test cases and working towards making it work on complex type packages.
https://github.com/tsz-org/tsz
• A social ebook reading app where you can create reading groups and have realtime discussions.
• A visual moodboard and notes app that uses local models to link and surface content, a bit like an AI powered Memex.
• A new UI design tool for Mac/iOS with deep support for design systems and AI agents.
• A CMS and static site generator that runs entirely in the browser. Download the site as a zip or publish directly to GitHub/Netlify.
https://github.com/sparktype-project/sparktype
Working on caddy-snake, a python plugin for Caddy: https://github.com/mliezun/caddy-snake
And on a new post about how to design web apps for the AI-era for my blog: https://mliezun.com
in spare time working on https://coderscreen.com/, an open source technical interview platform
I am looking to build a platform that allows for real interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions
Im currently working solo on the only autopilot agent and thinking partner for android. Its called twent.xyz . Wait. I got more to show you. Im also building signupdoggy.pages.dev which is an API based service that blocks fake signups. Could be temp emails, could be temp phone numbers, we block it all.
Trying to understand how to run many coding agents 24x7 https://news.ycombinator.com/item?id=48520757
seeing how far 1 person project can go with Zigpoll: https://www.zigpoll.com
Crossed over 100K MRR and I'm shooting for 2M ARR by the end of the year. Growing something in this stage is totally different from making it go from zero to one so it's an interesting learning curve. AI has also changed the calculus as well where it seems less crazy to try and do this sort of thing. Time will tell!
https://esploro.app - trying to build a modern, sleek, lightweight and open source macOS database client
I've designed my first automated test equipment (4 voltmeters with 4 gains, 4 ammeters with 4 shunts, 4 regulated voltage sources) in kicad and now I'm slowly assembling it, testing and calibrating: https://imgur.com/a/ate444-Y0cORf2
I'm building a plugin for Ghidra called Specter that aims to bring semi-deterministic agent workflows to Ghidra. It adds a terminal like interface to Ghidra's code browser where you can chat or run DSL queries.
The project is currently 100% vibe coded with codex\gpt-5.5, but after running some experiments, I'm working on replacing some of the vibe coded SQL engine with Apache Calcite.
https://github.com/coldentry/Specter
Running a Kickstarter for an ergonomic keyboard
https://www.kickstarter.com/projects/taikohub/taiko-01-keybo...
https://www.GetSetReply.com
If you have a business that relies on reviews, I'm looking for a beta tester!
GetSetReply.com aims to:
1. Get you more reviews
2. Avoid negative reviews
3. Respond to reviews
You can email me via my email in my profile.
Mostly offboarding stuff from “the cloud” due to geopolitical instability and sovereignty issues.
Working on Margin Points (https://www.marginpoints.com/): a daily essay series on business and tech. Already over 80 essays in. I'm playing around with a daily live call-in show for readers who want to discuss ideas while the essays are rough drafts and help shape the thinking.
I enjoy creating new benchmarks for LLMs. Lately, combining scientific computing tasks (n-body sim, Monte Carlo, etc) with Apple Metal GPU kernels (evolved through LLMs) led to a curious benchmark I believe: https://github.com/vicgalle/metal-sci-kernels
Trying to upgrade my data viz project [0] from Svelte 5.35.7 (pre async) to the latest version and making sure that the performance is not negatively affected (e.g. [1]).
[0] https://cybernetic.dev
[1] https://github.com/sveltejs/svelte/issues/17176
Compiled agents: http://squig.com/
It takes your instructions, write a versioned spec, then generates a hybrid workflow of code+LLM calls and protects it with tests/evals
The result is that the agents run much faster (90% of it is code), cheaper (LLM steps are scoped tightly and uses smaller models) and reliably (specs get turned into coded state-machine)
Working on a social Trading network to automaticlly capture, document and share how you trade https://docutive.com/
Trying to write a formally verified simplified (1D) implementation of Ruckig, more to learn the tools than for the result, although I want that too. Some fun challenges with numeric stability (using the big hammer of arbitrary precision to address that for now), etc. Still don’t have a real path to bridge correctness arguments through a formalization of Sturm’s theorem or similar, accepting it as an axiom for now.
https://duckville.town
You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no combat. Playtime is a few minutes a day by design.
A kubernetes desktop client that can connect to multiple cluster simultaneously
https://aptakube.com/
I have been building https://longhorizon.dev
It let's developer do test planning and testing automation using their coding agents. The records of the testing sessions are then shareable and can be added to PRs, giving the reviewers visibility into how the feature works, what scenarios are handled and tested and what might have been missed.
Been building a file manager for almost four years that combines the best of Notion and Obsidian while remaining a competent file manager in the process. It's called Phials.
Not technically released even though the site is live, but close enough to a beta at this point.
https://phials.phoundry.app/
I’m working on a package that exposes Apple’s local model as a provider in Opencode and Raycast: https://github.com/localcodeai/localcode
I am building runtime security for AI agents; for real. https://minimako.com
I’m working on "Fetch", a native macOS client for ClickHouse.
The idea is to make querying ClickHouse feel more like using a polished desktop with ClickHouse native features :
It’s built in Swift/SwiftUI with Monaco as the SQL editor.
Screenshot: https://ibb.co/gbW4rW7G
I’m beta testing a small abstract strategy game I invented and for which I trained an alphazero style AI, https://span.game
I’m making a baby book for my son Henri featuring famous Henri’s through history.
I’m also building a zigbee free/busy eink display that only needs to powered once a year or so
https://whatgrowswell.com - find out what edible plants grow in your area and when best to plant them.
can you add annual flowers to this? Maybe even perennials, trees?
I'm working on inference.club, a distributed inference network for consumer hardware. Sign up with GitHub, get an API key, run an agent on your home network that registers your local inference resources with inference.club, set permissions for who can use your services, try out models in the playground and use the API. So far it supports the following models:
- LLMs (any OpenAI compatible API, vLLM, LM Studio, etc.) - image gen + image edit (flux klein) - text to speech (magpie, dia with voice cloning) - speech to text (OpenAI audio transcriptions + riva compatible) - image to textured 3d model (trellis2) - image+text to video (ltx2.3-gguf) - text to music (acestep)
currently it is just me and Claude vibing. While using Fable 5 moved all of my local inference services to k3s across 3 RTX 4090 PCs and my DGX Spark, now I can just tell Claude/Hermes/etc. to start and stop services.
inference.club is built with Tailscale's tsnet library. It is sort of like an OpenRouter built for different types of local AI models. inference.club also lets you showcase and share generated content. For example here is 90 seconds disco funk track generated by acestep: https://inference.club/s/Vxm6ozW24oBs_JGbPcq7tA
I was inspired by AI Horde, and wanted to see if I could build something that could support all of the model modalities that I use for generating short-form AI slop content on local hardware. This is also similar to Hugging Face Spaces, but running on consumer hardware with a common API. I've been watching the quality of local AI inference making massive improvements in quality and performance, and I want to make it easier for people to try "local AI" even if they don't have a GPU.
Been working on making it much easier for application deployments to get access to a isolated database/schema. The usual pattern currently is to assume that each app creates a new database, which ignores the backups, monitoring etc required for each database. Implemented support for Postgres and MySQL.
Wrote up more details at https://openrun.dev/blog/service-binding/
I’m working on a time series management & analysis tool. The goal is to provide simple ways to work with time series data, including an API and visualisation.
https://28times.com
Building the most effective typing application.
https://typequicker.com
llm testing for stability and reliability.
Still chipping away on Raygum! Like Letterbox for music.
https://raygum.com
This is awesome
I have made elderflower syrup, and I'm now trying it in different cocktails/mocktails.
https://nicolasbouliane.com/recipes/holunder-syrup
I am building agentic id and global, open agent-to-agent signed communication at https://aweb.ai
MathBreakers, Your Limitless Math Universe. It's a math game platform teaching fundamental grade school concepts like Fractions in an immersive 3D world with virtual manipulatives (no equations or worksheets).
Re-reading the Lean Startup to hone our GTM, market validation and growth engine.
(mathbreakers.com)
Currently working on HN Alerts — a simple free site I made to alert me (via email) to trending stories on Hacker News.
It sends me an email once a story hits a certain number of upvotes per minute, so it's useful for keeping track of breaking news.
It'll also soon allow you to get alerted to specific words or phrases in titles. (I have one set up so the monthly hiring threads notify me as soon as they appear.)
https://hnalerts.com
> It sends me an email once a story hits a certain number of upvotes per minute
So do you get one email per-story that fits this criteria? Or is it some kind of roll-up?
Typically one email per story.
It checks every 5 minutes, and if more than one story happens to meet the criteria during that 5 minute bucket then it'll put them into one email (so the "hiring" checks appear in one email). But in reality because it's rare that 2 stories will trend within the same 5 minute bucket it ends up being one email per story.
Still working on a Reservation System I'm thinking of making FOSS. Not trying to plug it, but it's all I've been working on lately (next to the job that brings in the bread).
https://odeva.app
Im tired of busywork admin work. Electron app to automate and/or make it feel like doom scrolling or tinder.
Im working on a batteries included and (aiming to be) production deployment ready go sdk for all things MCP:
https://github.com/panyam/mcpkit
I have been experimenting more with agentic iterative optimization: using LLMs to actually speed up code by finding and testing lower-level optimizations, specifically by having it build a real-world representative benchmark, then tell the LLM to optimize that benchmark without a) cheating the benchmark and b) ensuring code quality by some metric does not regress, e.g. MSE for machine learning algorithms. This is extremely effective with GPT 5.5, and recently I found another prompt optimization (https://news.ycombinator.com/item?id=48413304) that surprisingly results in another 2x speed improvement on average.
So far, I have mostly feature-complete implementations of the following, which are faster than the state-of-the-art implementations, up to 20x faster in some cases while matching or beating them in quality:
- a new 2D data visualization library, along with more bespoke data viz implementations such as word clouds and Primitive.
- programmatic image generation
- image compression
- a new statistical machine learning library, along with more bespoke algorithms such as UMAP and HDBSCAN
- a novel modelless invisible image watermarking approach
- a novel machine learning approach which may be a crime against data science but the performance is really good
- local text embedding generation with MLX
- image-to-ASCII art conversion
- grep/jq replacement (faster than ripgrep)
I aim to open-source them over the next months but the main bottleneck is the inevitable barrage of "gtfo AI slop" comments even if I dot every i and check every t, in addition to the distribution of new software being extremely difficult nowadays due to the death of social media and "20x faster" raising red flags even if I have the data to justify it.
I built a dictation and meetings after trying other apps (Wispr Flow, Willow Voice, Granola, open source) and realised they're either user hostile, buggy or have limited feature set. For example, many of these dictations app opt you into Context awareness, which means your entire page contents get streamed to their server. The open source apps don't have dictionary, shortcuts (say "linkedin link" → and it pastes your actual link), or ability to use any proprietary API.
So I made my own dictation app. Supports arbitrary API providers (e.g. Deepgram, Speechmatics, Elevenlabs), Offline models and a subscription if you want it. Otherwise it's free forever for BYOK and offline models. Deepgram is a YC startup from 2016, and have models that are genuinely good - so it's up to you if you want to use them.
Also, Granola doesn't let you read your own meetings after 30 days. So I added a feature in DuckType to import your data from Granola, unlocking all your meetings from their paywall.
Another app: OpenCook https://open-cook.com/ . We curated and wrote our own recipes into StashCook, which requires a subscription just to read your own recipes on the web app. So I got Codex to extract our recipes and rebuild one that is open source, OpenAPI and includes AI features.
This won me 1 year of GPT Pro at the codex event :)
I hope you can tell... I'm tired of companies designing their products to lock you in, to charge you more, with no added value. I build software for people like me. So I'll be building more apps that replace this user hostile software.
I recently released my newest series of paintings made with a pen plotter. Pure black acrylic paint on synthetic paper. https://shop.harmonique.one
I'm using an old domain to put together a curation of film edits set to music
https://brodlist.com
If you're not aware of "sync rights", it's probably worth reading up on given your interests. There is an entire specialization of music copyright law focused solely on synchronization of music to visuals. The good news is that studios almost never obtain this set of rights to the music they publish (because historically there wasn't enough money in it to justify negotiating for them).
Fair use copyright covers areas such as this.
This is so cool!
Thank you for taking the time to say that. I really appreciate it.
When YouTube was new, a guy named JT Helms made that top one (Once Upon a Time in the West cut to Arcade Fire) and when Bruce Springsteen was asked if he liked anything on YouTube, he said that. And it made me happy because it was my favorite too. And I thought we were on the cusp of something like a new art form.
I still think that. I'd like to see short films shot to music as well.
I'm working on a search-and-replace TUI with case-awareness and a good preview.
https://github.com/beeb/swpui
Synthetic aperture simulator. I could never get finding to build so decided to do it myself.
https://gergltd.com/aperturelab/
Starting a new team at my company for AI Enablement for org-wide tooling, governance and long-term AI strategy.
Working on continuously improving my docker image for running OpenCode in an isolated and security-focused environment.
https://github.com/pkhamre/opencode-docker
https://clipper.dev
I made Docker not suck for large images. 2-10x faster depending on the operation. I’ve spent the past two weeks burning down the last bits needed to release a BuildKit integration.
https://codeberg.org/olpad/openmic
An open source audio interface along the lines of a Scarlett 2i2.
Refactoring the D code generator to make it more modular.
A new CLI for https://github.com/dirac-run/dirac and a paper that may or may not ever publish
building a free and open-source invoice generator https://easyinvoicepdf.com https://github.com/VladSez/easy-invoice-pdf
- No sign-up required & no ads
- Live PDF preview & instant download
- Flexible tax support (VAT, Sales Tax, etc.)
- Fully customizable invoice templates
- 120+ currencies & multi-language support
- 100% In-Browser
working on DevRoulette
You start a task in Claude Code, and it automatically matches you with a random dev who’s also waiting on theirs.
You can chat, skip, or end the chat anytime.
http://github.com/DevRoulette
I wrote a post on my homepage. https://www.makonea.com
trying to get AI-powered YouTube playlist generator to work well with podcasts: https://playlists.at/youtube/generate/ (GPT doesn't seem to be very good with podcasts.)
learning to build local coding agents with mastra framework, doing basics at the moment, like reading the code, editing.
if you have built coding agent in the past using mastra, what are the problems you have faced with mastra? does it support complex branching/context trimming and other features required to efficiently manage context for AI agents?
serverless hosting for wordpress: https://www.agiler.io
The hard part is doing it without modifying WP, and serverless mariadb that can scale to zero.
I am making Cargo for C. I have 3/4 of a working demo; the tool can build itself, including some non-trivial dependencies which I've ported to build natively with the tool (instead of wrapping their Make or CMake or whatever). The pitch: It's insane that we have to pull in Python or Lua to build C code. CMake is an abomination against god that has become usable in spite of itself. Zig cc is proof that this entire ecosystem is an embarrassment. My tool gives C projects a TOML manifest, and builds scripts written in C and JIT compiled by the tool. Now, you can write build scripts in the language itself, pull in dependencies you wanted to use anyway. It also provides a stable ABI. There's an HTTP-backed index and a Git-backed index. And it generally does the same thing for C that, say, Bun did for JS/TS. You'll be able to run C files from source and have the entire ecosystem available. You'll be able to trivially generate single file static binaries, or dynamically link to an older glibc without arcane tricks. It will fix C.
I'm also still working on my "what if we wrote a real standard library for C"; I added some feedback I got from the release.
Also, some side projects: I'm making something that's a mixture of chezmoi, Omarchy, and Unraid, for Arch. It has a nice web UI installer. You store everything about your machine as a Git repo, and it brings it up. I wanted to make a system where you could install things manually as you're learning, and once you know what you want have the configuration system naturally absorb it back in. Unraid was great, but once I had real infrastructure running on it the ad-hoc nature made it a huge pain to do it right.
I am also experimenting with a new UI framework that is like HTMX but can also target native apps. UI trees are JSON, not HTML. The runtime is a small core of WASM which takes in JSON patches and applies them. Each backend just translates the UI tree to native calls (e.g. DOM calls, or GTK calls, or...). It's kind of like React Native, but the point is that RN is insane because it synthesizes complex widgets and pretends that the abstraction is clean, and when it isn't it causes problems. There's...a lot more nuance to where this sits among all the UI frameworks, but the best way to describe it is "I wanted something that renders UI server-side for simple apps, and I wanted to be able to run it on the web or natively without bundling a browser". It's very much a sketch to see if this is even possible, and very much missing critical features still, but I have two nice examples that show a plain C backend and a TypeScript backend.
C standard library: https://github.com/tspader/sp
A route from the UI framework: https://github.com/tspader/spry/blob/main/examples/form/nati...
A UI tree from the UI framework: https://github.com/tspader/spry/blob/main/examples/form/ui/t...
A TSX version of the same app: https://github.com/tspader/spry/blob/main/examples/form/web/...
I’m building a little tool to organize my sheet music, let me share it, organize rehearsals, and manage performances.
Oh hey, I'm building something loosely related to this too. Can I ask what need isn't being met by say, Forscore?
I've been thinking about and working on a solution to automatically resume a Claude code session in the same terminal when my quota resumes. I hate waking up and typing "please continue"
Jacobin, a JVM entirely written in go https://www.jacobin.org
Working with a variety of AI models (Claude, Grok Build, various locally run models) and agents, I am scratching an itch.
When people deploy python and perl code, they have to either export their entire environment, or build a container. The latter is not possible in a number of deployment cases, and the former carries all manner of dependency radius gotchas.
So I am building (ok, I am prompting/testing/reviewing, the agent is doing the heavy lift) compilers for each of python 3.14.x [1] right now, and perl 5.42.x [2], that can generate static code.
Early stages, perlc does work well, pyc is a work in progress.
[1] https://github.com/joelandman/pyc
[2] https://github.com/joelandman/perlc
duplicate post: https://news.ycombinator.com/item?id=48514461
FreeBSD 15.1! Scheduled to be announced 2026-06-16 00:00 UTC; just need to get some release documentation polished now.
self publishing scientific papers, with IP defensible via DOI and bitcoin timestamp:
https://m4gr4th34.github.io/dossier-001/paper.html
Built a logic puzzle at https://daily baffle.com/truthsorting, try it out!
tirreno — open-source security framework
https://www.tirreno.com
still working on https://hcker.news, which has an absurd number of features that improve your QoL when reading hn.
i've massively improved a bunch of things like the AI filter, which now gives you the option of filtering out github repos with AI authorship.
Also improved comments, which I'm serving through my own backend which has made loading of comments super fast, and it's going to be the foundation for some really great other features coming soon.
Soon: HN feature parity via browser extension and sync'd accounts.
I've been continuing work on cardcast.gg. It gives you the ability to play Magic: The Gathering with your friends remotely using a webcam.
In the last month or so I added a few nifty features:
- Auto-scan functionality: Instead of having to click on cards to discover what they are, I can now do whole-frame detection on an interval (configurable), so players can mouse over the webcam stream of another player and automatically see what the actual card is. Super helpful for deciding who to attack and makes turns quicker!
- Card view is now grouped by player, since auto-detection will populate a lot of cards during the course of a game.
- Switch the video stream to Livekit from my homebrew version. Players were having video trouble and I hope Livekit is good enough so solve that problem.
Next up: I really want to build a community around this, and I'm struggling on getting the word out to people / having them try it out. I've done some SEO and word of mouth advertising, but haven't had much luck. I feel like I need to switch directions a bit. I'm a developer by trade, so this is wholly new to me.
Come check it out: https://cardcast.gg
https://trax.legacyfactory.dev/
> Guild manager for my MMORPG guilds with Discord integration
Working on a multi-agent chat, about Yoga, Ayurveda and wider scriptures: https://livingshastra.org
2 things:
- A hand-crafted browser game-engine and game for the engine, with things like determinism at the core. I will be launching soon and can't talk too much about it yet because its quite novel. It actually has quite a few novel ideas within. Very minimal usage of AI in this project, I've been working on it for ~6 years now. A bit toooo long.
- A pure slop-crafted browser extension, because I paid for claude code Fable and it got rug-pulled so I am burning my tokens on a 100% slop project just to see what hands-off coding is actually like. A slight distraction from project 1 I do when I'm feeling a bit burnt out. Super fun so far proc-gen type stuff. Derivative
I’m developing a class for non-technical people on the responsible use of AI.
Continuing development of online training for software testers, with a heavy emphasis on AI, since that’s where the demand is.
During a livestreamed demo yesterday, I ran into a ridiculous bug in Copilot for Excel. After all these years Microsoft still can’t manage the basics of reliability and still deny that they need good testers.
A full stack Golang framework (I know).
I make 3D Laser cut maps! themapsguy.com
Two things:
CRM with agent baked in that can properly do stuff. No idea why attio/twenty are soooo bad at this. It's a table. getcrme.com / https://github.com/ChristianSch/crme
and gargoyle, an activitypub server with a (theoretically mastodon compatible UI) https://github.com/myfedi/gargoyle. Was annoyed at the homogenous fediverse dev teams out there that don't want their precious service federate with others. I want more federation (tested it with bookwyrms and lemmy for now. Mastodon/GTS also working ofc) and a pretty UI and not waste time with weird identity politics. You do you. I want an open fediverse, not a filter bubble. And GTS was too hard to hack on.
https://www.learnchess.ai — The chess app I always wanted (I've tried a lot of apps in the last years but they always lacked some fundamental feature and/or had terrible UX).
huntbot: AI offensive security harness for Security Research pentesting bugbounty
indiesecurity.com
www.venndiagrammer.com
I've been looking for a website like this. Nice.
https://macrocodex.app/
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.
By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.
It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch etc...)
MacroCodex helps you spot dips in maintenance calories from metabolic adaptation, then auto adjusts your calorie target and macros so your plan stays aligned with your real maintenance calories (TDEE).
It's very useful to those who find it hard to gain or lose weight.
it's a completely free app, no paywall, no unnecessary data collection.
Already reached 13,000+ users
Personal (as in, "for personal use, not a product") conversation partner -- I speak in German, one level is correcting the mistakes, allowing me to reformulate the statement, another level is responding to the intended idea. Rinse, repeat.
Built TechnoJam (https://technojam.app), a music-making app for kids 4+. It’s a DJ launchpad (drums, bass, melody, chords) but every tap is quantized to stay in scale, so kids with zero music knowledge can have tons of fun making electronic music.
Deliberately no ads, no subscription, no tracking, works offline.
Built an app that helps you detect if a video (tt/reels) is lying about those "do this and you'll make 10k a month"!
https://legitize.app/
still very early and im trying to keep it very affordable, since the whole point is I dont want people wasting their money on hustles that were never legit
> an app that helps you detect if a video (tt/reels) is lying about those "do this and you'll make 10k a month"
There’s a Unix CLI tool that implements an accurate version of this… check out /bin/yes.
not quite, it doesn't just flag everything as false. Some hustles come back with high legitimacy scores and realistic income ranges that actually match the claims, but might take longer to earn the first dollar. The point is separating the method from the creator's real monetization — sometimes they're the same thing, sometimes they're not. if people are gonna fall for these quick hustle tactics and lose money, id rather them use this and make sure its not a full waste of time
I'm writing an extension to the mkv file specification to embed simple scripts that would allow someone to do choose-your-own-adventure style videos directly in the file themselves without outside assets. I'm also making modifications to VLC and mpv so they can play these directly. I've had some success already, but I've discovered a few features of existing videos like Bandersnatch that I've had to go back and add into the specification.
On top of that, it's lead me down the rabbit hole of a 1995 (limited) theatrical movie called Mr. Payback, which may have only ever existed on 50 sets of laserdiscs distributed to those theaters. I'm hoping to track down a copy of it... if anyone had any clues on that one, I'd love to hear them. I'd purchase a Domesday Dupe device and dump it. But it may be a genuine lost movie.
https://github.com/verdverm/gmd
> gmd indexes local markdown with full-text, vector, and hybrid search on Typesense; web search, fetch, crawl, and research; llm-wiki pattern and agents; local or cloud.
Working on a claims automation service for a pet insurance company I work for. Interesting because its backoffice facing but still helps our end users to get their reimbursements faster and makes the feedback loop when we need more documentation from them shorter.
I have been experimenting with methods of reading books and creating software for these methods.
For example, I was inspired by the activeness of typelit.io when reading - typing out an entire book helped keep my mind from wandering when reading. But typing the whole book is too tedious. I wrote a few scripts to mirror the words on an epub, which does help with focus but isn't quite good enough.
My current epub reader software I use requires you to press a button to reveal the next word. This has dramatically improved my reading comprehension, prevents inadvertent skimming, and keeps my mind from wandering.
I'm still experimenting but for those who have ADHD or are borderline ADHD, it's quite a revelation - I can finally read without my mind wandering.
Nothing because I'm terrible at coming up with useful ideas for something that hasn't been done a million times over.
C++/python/networking/systems/web developer for 30 years with plenty of free time
what kind of project would you like to work on? there are plenty of FOSS projects that need help. (i have one too)
https://news.ycombinator.com/item?id=44417888
https://news.ycombinator.com/item?id=42157556
https://news.ycombinator.com/item?id=48531359 (new, no posts yet)
Then please teach me programming.
available for mentorship?