It’s a better code reader built on top of sem (treesitter). I’m getting a lot of massive PRs at work now, and this has helped a lot with reading them. It decomposes the changes into entities and sorts based on what has the most dependencies. This tends to put the most important functions first. Plus I can click through the dependencies for each function and mark things as reviewed as I’m reading them. It’s a big improvement over the GitHub review flow for me at least.
I was an experienced game designer and producer (mostly RTS and narrative RPG). Some years ago, my career was derailed by major health developments. Since then, I haven't been able to work as I once did. I didn't expect I'd be able to meaningfully contribute to a game again.
Earlier this year, a colleague encouraged me to experiment with Claude Code. So now I have a little game project. :) Being unfamiliar with genAI, I chose something modest so that I'd more likely be able to push it to a fairly polished state.
Tentatively called Vestiges, it's a single player 2D roguelite strategy game with meta progression, some narrative, and a card minigame (the latter inspired by work I did on Star Wars: Knights of the Old Republic II). It's set in the near future. You are using software (the game) to navigate a person's digitized mind, reading their memories.
I hope to have a playable demo within the next month or so.
This month I worked on my own AI agent written in POSIX shell. It's been surprisingly useful for debugging command line problems on an old laptop running linux, like fixing an apt problem.
Most recently, adding SID support, and adding timing information to the emulated formats that don’t have any tagged song duration (e.g., converting NSF to NSFE). This means playing the songs one by one and watching for repeated sequences of writes to the sound chip registers.
Rebuilding my long ERP-like project to become more like a "business engine" to become a proper ERP backend (so it can cover most business scenarios and is multi-company, branch, currency, etc).
Have now the core done and working on a MVP UI to validate it.
One of the things I always wish to do properly was to model currency and unit of measure in full as core types, plus truly trace everything related to the business transaction from production to beyond the sale.
Looking into a persistent workflow engine like `temporal` now...
P.D: I'm debating if open source or not, in light of the AI-pocalypse...
I'm creating a "spy mission" for my granddaughter. Using an Axiometa Genesis Mini with some modules for gating access. Real-world challenges, enter results into the Genesis, get directions to the next challenge.
I am trying to involve family members' specialties and interests so she can elicit help from each person: entomology, mechanical engineering, etc.
All that for her to discover the Secret Planned Activity the following day (visiting a theme park.)
Just finished Veritas - Truth Across Cultures[1]. The idea is that many different cultures have written sayings that are basically the same. Similar to how one would give more credence to more than one person saying the same thing, the same is true for cultures. So, this is like my catalogue of what diverse cultures agree on. I have been promoting this book. [2][3]
And not an arcade game, but a multi-player throwback to a multiplayer shooter game my team used to play called nSnipes: https://github.com/linsomniac/isnipes
iSnipes does require downloading and running a server, the others you just play on the web.
As an engineering manager and later a director, a regular and often difficult task was assigning ROI to projects that had recognizable but diffuse impact. It's easy to calculate a dollar figure for certain projects by projecting additional conversions or revenue. It's harder for a security or SRE project that doesn't have a direct impact on those things, but can help reduce risk or empower a bunch of other teams to operate more safely or move more quickly.
I have been working on a set of tools and standard formulas that can be applied to these cases and demonstrate a more accurate view of a team's or department's overall ROI. The plan is to open-source the bulk of it, but provide a hosted service for folks who don't want to manage it themselves.
It’s an AI-powered mock technical interviewing platform, for system design and coding.
I’m also working now on behavioral mocks, with a coach feature!
I’ve been working on it on and off for a year, but started spending significant time in the last few months.
I know everyone’s burnt out on LLM products, but I think it’s nice for this kind of prep since you can do it on demand and in an environment it’s safe to fail as much as you need without judgement so you can actually learn.
It’s early and free if anyone is interested in trying it out (at least while I can afford to serve it for free)
Happily continuing work on https://cardcast.gg. It's a way for my friends and I to play Magic: The Gathering online using a webcam. Spelltable has been neglected by WoTC, and we wanted more features, so I rolled my own (and learned some Computer Vision stuff in the process!)
Most recently I rolled out automated card tracking, so there's no more need to click on cards to know what they are, they just automatically scan on a set interval.
I also moved over to using livekit for the service, and man, I should've done that sooner.
If you play MTG, I'm looking for more people to come give me feedback and contribute. Feels like something others can benefit from!
I've been building some sqlite plugins for playing with ngrams for text search. I'm not sure why, but I've learned a lot about the internal sqlite apis and it brings me a lot of joy. I would like to start a blog detailing some of this work but haven't found the time yet
- https://banksia.bio: I suspect there is a market for private consumer whole genome sequencing services. Think "Mullvad vpn" of sequencing - I shouldn't have to know the identity of the person I am sequencing, and they can be identified with a client number not tied to their PII.
- lazyslurm: A TUI tool for managing/viewing slurm / HPC setups. Similar to lazygit or lazydocker (https://github.com/hill/lazyslurm)
Self hosted media platform with similarity search, face search and clustering, a great fun media player with shuffle, VS mode where you rank your media resulting in an elo, remote access to app over the web, a TikTok style "swipe" mode of your own media. Started as just a good media viewer over 5 years ago but I just keep adding things. Has a small patreon following so people seem to like it. https://lowkeyviewer.com/
We are creating an AI for science and engineering: https://vicena.ai
It's connected to all papers of course, and all kinds of scientific simulators and specialised models. But I'm currently in Shanghai talking to labs to join a CloudLab (and hopefully setting up our own robotic labs), so that AI can actually order real physical experiments that are executed cheaply, efficiently and seamlessly as tool calls.
Through experiments like autoresearch we have seen that AI is already, if not always smarter, at least more systematic than humans at following the scientific method relentlessly (hypothesis-experiment loop). Let's see what we can do by connecting it to the real-world :)
I heard an episode of the Odd Lots podcast about HayWire (haywireag.com), a site that pulls public data from government PDFs + APIs, uses LLMs to parse it and turns it into an easily readable website that has all of the latest info on hay prices.
The host made an offhand mention that there's probably a bunch of other similar sites that could be created with all the of useful but difficult-to-access government data out there. That sounded interesting, so I thought I'd give it a whirl!
All pretty fascinating topics to learn about, plus it's been interesting to see how much of the website setup I can fully delegate to Claude. With Cloudflare to buy domains and put the sites up, a Google Service Account with access to Google Search Console and GA4 to create those properties and a Buttondown API key for weekly email sending, it's almost all hands off for me. Though it refuses to take control of the browser and create a new Buttondown account, which I was surprised is a red line.
I went on a side quest to strip out ProseMirror and markdown-it and implement a custom stack instead. I open sourced both the parser and editor (https://saturn9.studio/technology/):
I'm working on better UI for my app AutoPTT [1]. It's probably going to look somewhat similar to Discord's settings, except I won't be using Electron. I refuse to use bloated stuff like that, so I'm going to keep using a pure C UI library [2].
Obviously this is going to take a bit more work but at least the resource usage will stay low, which I consider quite important. Especially since gamers are a large portion of the user base.
Scaling Zigpoll[0] to 2M ARR as a solo founder (currently at 1.5 ARR). Each year you double ARR for a business it comes with a whole new set of challenges which are layered on top of the changes in the tech landscape.
Fortunately I think I've been bailed out by agentic coding the last couple months from a product perspective but I think the major gains so far have been due to marketing and exploring alternative growth channels. Even so, keeping momentum is never a given and requires constant output from all angles! Onward...
I finally decided to put together a Sonos controller with the navigation I wanted and SMAPI servers for the live music archive, and all the grateful dead and phish shows. Thanks Claude! A PWA with tailscale and I have a controller that does what I want and works at home on an S1 system and at the beach on an S2 - seamlessly. Better than the "real" thing as far as I can tell.
apt-cacher-ultra: To help reduce the impact of future DDoSes of Ubuntu. Just released 1.0 yesterday after working on it a couple months.
As that DDoS was going on I realized that some of our dev and staging processes were impacted by it, and that apt-cacher-ng was doing nothing to help us.
apt-cacher-ultra snapshots the repo meta-data after verifying it, and only promotes it if the metadata all checks out. Additionally, it can optionally keep a list of "hot" packages, and can include those in the snapshot calculation.
Additionally, apt-cacher-ng would regularly choke and require some handholding. I'm hoping -ultra resolves that as well.
I'm working on leveraging NLP and LLM techniques to create a geometry over the discrete space of Ethereum transaction execution structure. (sorry... it's a bit of a mouthful)
What if your web apps e2e tests ran in production through actual user sessions? Know exactly what browser session cohorts are having issues. Open source, https://github.com/Faultsense/faultsense-agent
Part of my job is to approve / reject MCP servers based on how secure they are and whether they are suitable for use in an enterprise environment. I was tired of my team being called the bottleneck to AI adoption, so I set out to automate the whole process.
I periodically collect the MCP servers and every new version from the Official MCP registry and assign them a score based on 29 distinct criteria like runtime guardrails (e.g. destructive tools, over broad permissions, rug pulls), SAST scans and transport & trust model.
As a result of this exercise, I found that 1 in every 10 MCP servers is pretty much unusable (score 40/100 or below). 18% of the popular MCP servers with 1000+ GitHub stars contain one or more security issues. 184 servers to date have changed their tool definitions after publication, which may indicate a "rug pull" attack.
I built this for security minded people who also want to be at the forefront of AI adoption and for security teams who are tired to be called the bottleneck.
Browsing the index is completely free, you only have to request an API key if you want automated, programmatic lookups for any workflow.
I'm working on a multiplayer RPG https://grimrain.com - calling it an MMO is quite bold, but the gameplay fits that genre. The game server is designed to be self-hostable too, so it's like Valheim meets OSRS
This is an open source tool to run background coding agents + dev environment in isolated VMs. So far it has allowed me to migrate a majority of long running coding sessions to my homelab to run remotely. I can also run multiple in parallel without worrying about race conditions or my host machine breaking.
I usually work on my programming language lone lisp on my free time but I've been feeling burned out lately.
So I started a new side project: decompilation of my cherished childhood video games. Many Mega Man games, starting with Mega Man Battle Network 2.
I just finished polishing and verifying the early initialization routines, and have already traced various parts of the game's engine. I was surprised to discover that it was a huge state machine of sorts. I want to focus on reverse engineering the saving system so I can write a save editor, and the music system so I can listen to the music.
I've been building WhyNotLog to answer tricky questions using statistics. Example questions include "what gives my dog allergies?" or "what affects my sleep?".
Available at https://whynotlog.com and promo code HACKERNEWS gives access to the pro plan for six months.
A text-based song format for generating music. I wanted to be able to create a song entirely using text, so I created a TOML-based format for doing so, and gave it most of the features you would find in a DAW. Since the format can be described in a SKILL file, AI can be used to write a song in this format, which can then be converted to audio.
It’s basically snake meets scrabble meets PvP stealing. It’s a novel idea and I think it’s cool it hasn’t really been done before :)
The issue is it’s too complicated, the onboarding is dogwater, and the aesthetic is too complex
So I’ve spent the weekend fixing onboarding, fixing and relaxing the visuals mix and simplifying mechanics.
I’ve also tested LLMs playing the game through a harness I wrote. LLMs get smashed, they can form words and steal, but they lose badly to conventional bots.
I’ll be exposing an LLM leaderboard on my next release (hoping this weekend) with links to game replays for the LLMs.
Would love for people to give it a try, give me some feedback, and say what you’d love to see on the roadmap.
In my 20 something experience of software development, it is totally ok if you don't work on anything so I don't work on something. If there is a possibility that your work will be something useful plus you will benefit from that, you definitely have enough time to do that in couple of coffee tea drinking times. Europe show off by their sidewalks and street signs. Computer is a little too lux for a human.
I'm working on so101-nexus, an open-source sim-to-real stack for the SO-100/SO-101 robot arms where you can record teleop demos, behavior-clone a policy, then fine-tune with RL. The goal is to be very compatible with Gymnasium, MuJoCo, and LeRobot.
Building a new Smalltalk VM from scratch that better utilizes modern hardware (full multicore support) and a web-based system browser so I can develop with it remotely.
This is amazing! Very refreshing in the age of AI to see so much manual building going on. Sadly I don’t have much time myself but I have several friends who would love this, I’ll pass it on to them.
Ohh this is the type of stuff that interests me although I am not a car fan but I like what you are doing with the aggregation/old-school DIY forums.
Good luck with your build and perhaps I might get interested in future too as I did once have a thought that having a custom car to me would reflect more cool-ness than an expensive one. I am really interested by small cars, perhaps retro. I imagine my favourite car to be somewhat like the car that Ryan gosling drives in La La Land.
but a cool project nonetheless, certainly thinking about it inspires a bit of car enthusiasm within me even though I am not that much of a car fan so much right now so a really cool project if it can help more people feel this spirit. good luck :-D
I have a question but how does building new (retro-inspired?) cars go about in terms of pricing. I feel like they might be too costly to get custom-built and that If I really ever in my life go about doing this, I would prefer DIY but I still imagine that it might be too expensive or hard to make a car. Are there any go-to cars which are easy/recommended within this space and how does it compare off economically and what are the technical expertise that you require with this type of stuff?
Once again, I wish ya good luck in the project and would love to hear your answers for some of the questions I have!
Thanks; much appreciated. I picked up an endless list of new build interests in starting the site and exploring different niche forums. Turns out I really like wooden boat builds, cyclekarts, intricate custom knives, handmade violins, the list goes on...
You're right that getting a car custom-built is where the costs add up quickly; easily north of $50K. Most of the cost is labor, which is $0 if you do it yourself. Some of the projects are much easier than others. If you want to fall down a rabbit hole, look in the kit car and hot rod categories; lots of affordable and small builds in there. The Buick Riviera in La La Land is more of a resto-mod cruiser project, but the small/retro itch is exactly what the kit car category scratches. The first step is to find a forum where people are building the car you like, and start following related build threads. That's the majority of my social media intake these days.
I just launched my digital media shelf on my personal website, a catalog of my favorite books, movies, records, podcasts, and more. Lots of fun to build despite some false starts and fits:
I'm working on a collaborative post-apocalyptic fitness RPG. I wanted to build a game that lets you take over the real world, gets you off the couch, and has only positive multiplayer engagement. If you find or invite another player nearby, all your actions with them benefit you both.
It's for iPhone, and for the best experience, Apple Watch. It's very early, playable via TestFlight, and I would love feedback! There's a TestFlight link at: https://reverdure.yourstrategy.co
7stems.net: a Spanish verb conjugator and method for learning Spanish verb conjugation, where irregular verbs are just verbs with more than one stem. Also just self-published a book.
I'm working on the finishing touches for a big new "Event Filters" feature for my Shopify app, Stages (https://getstages.com). The feature will let users set up rules to decide which orders should be imported into the app based on certain criteria like Shopify product names, collection names, order value, and so on. Users have been asking for it forever, and I'm planning on publishing it this week!
I'm also working on an update to ShopifySharp, the .NET package I maintain for Shopify's graphql and rest APIs. I need to regenerate the graphql types and the fluent query builders for the July 2026 API version that was just released, and I'm planning on some extra QoL improvements that I've run into while using the package over the last couple of months. I particularly want to add some F# QoL features, since I wrote the package in C# but use F# in all my personal projects. (https://github.com/nozzlegear/shopifysharp)
Underpinning my current app is an e2ee local-first sync engine, basically it is a traditional client-server sync (encrypted logs + snapshots sequenced with integers). It sends bundles of Loro CRDT operations. I wrapped the client side in WASM to power the web app and the CLI and have started a swift wrapper to port to native iOS. Bundle size is 3MB/1.2MB g-zipped so pretty happy with it. I've realised that web encryption is kind of bs (at least not as "WE CAN NEVER ACCESS YOUR DATA" as some vendors state) if someone else is distributing the app.
Over the last week I have done a lot of performance work & data remodeling - CRDTs are interesting because you can let data fall through the gaps if you're not careful.
Still working on Study Engine and Nomnominees(more or less done for now).
StudyEngine is a webapp I'm using while doing my masters in comp sci. I upload lecture notes, textbooks, papers, etc. It then extracts topics and tracks my mastery of them over time. It uses an LLM to generate questions and flash cards. It loops in some newer learning science ideas. It tests recognition first(multiple choice), and then once a level of mastery is matched, it switches to recall. Working on adding RAG to it, so I can surface where in the source material something can be reviewed when going over quiz results. Currently just for me an some friends. If can get a good eval set up, I might work on optimizing cost and seeing if it could be opened up.
NomNominees is simple webapp that tracks James Beard, Great American Beer Festival, Festival of Barrel Aged Beers, and other awards. I use it when I'm traveling to find places to check out. Even just a cluster on a map shows me neighborhoods I might want to check out.
I've just finished this chrome extension recently: https://ypuf.com/
It helps me to automatically save a tab that's not been used in a while so it auto-closes it but saves it as well as having the ability to snooze a tab like how you'd do it in gmail.
Everything is locally stored with 100% privacy in mind.
I follow a bunch of gaming rss feeds just to keep up with what’s new in the industry. Figured I’d take those and turn them into a news aggregator to put them all into one place. Threw in some game deals/affiliate to pay the web hosting bills (hasn’t paid for anything yet, lol).
I ran into the same performance issues when reviewing Next.js apps, so I made a tool that scans Next.js sites and tells you what's slow. It's basically a performance tool that works best with Next.js apps, and highlights things like slow LCP, heavy JavaScript, and third-party impact and gives you suggestions and prioritizes them. Here is the link if anyone wants to check it out:
Did pretty well, only took a day or so. I first had it inventory every MUST, SHOULD, and MAY in the spec, and then let it rip. I did guide it quite a bit to get what I wanted, but at the end I’m pretty happy with it as a first draft.
Helped me learn the spec and will be helpful to hone my dotnet AEP server, and aepbase.
There already existed an aep e2e validator which does a similar thing, but this is more thorough and generates a nice report. It will tell you not just whether your API follows the spec, but also what parts of the spec it does not implement.
I needed to get customers for Hyperclast [1], but I kept procrastinating on the 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 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.
If you're an early stage b2b founder, I'd love to hear your feedback about TractionBeast.
I am working on this Review Flow. An extention for Cursor / VScode to enable IDE as first class for code reviews.
It came from a frustration that I needed to switch between the browser and the IDE to navigate through the code and leaving comments on Gitlab at the company.
So I thought it could useful to create something and let it be accessible to the public as open source.
i make the microsoft word but less sucks, and there is scientific calculator integrated and also ai on it too, available on linux (stable) and windous (unstable).
I’m working on building AI-backed sms phone numbers for lead generation campaigns needing 24/7 or multilingual support. Less friction than downloading apps or interfacing with chat bots, and just as powerful.
Sharable, real-time synced maps, Google Docs for maps basically.
I think the coolest part is the import feature where you can paste a link to a video or article and it pulls out places and enriches them with images and a description. You can also write your own notes, vote on places to go with friends, and apply colors. Right now I am working on user acquisition and experimenting with different marketing approaches.
This month I've been working on the free desktop version which is available as of today but probably carries a few too many bugs to not be worth promoting just yet.
I'm using AI to build a project to teach me SQL.
I use claude code to build the lessons, and then I complete them myself. I've done this for a few topics already, and I think it's one of the most amazing things you can do with LLMs.
Unfortunately due to the way GitHub defaults to creating prs in the parent fork, I have accidentally created a few invalid prs in asahi before I was ready, and now am banned from creating a good upstream one
A clojure / fennel dsl for generating pure data patches, looking to make a small drum machine in love2d and being able to live update the internal patches would be fun.
I am working on a reddit lead generator that pings you when someone wants a product like yours in real time, and It does so only when the intent is high.
Was using this only for my self, but i think it might be interesting for other people as well.
Had the same experience with upwork, feels like the door has closed on easy api access to big site data, ironically funneling people's money to proxies and other scrape helpers instead of their own api.
Yeah, perhaps its due to noone wants LLMs trained on their data for free. I don't know, at least for reddit there are still ways to get the data for free.
I am building Bloomberry (https://bloomberry.com), an alternative to tools like BuiltWith/Wappalyzer to provide sales signals when companies subscribe or churn from over 1600 B2B tech products. Think backend/backoffice tools like Hubspot CRM, or Netsuite, or Microsoft 365, rather than frontend technologies like Wordpress or React.
This month https://thingstohave.app, my calm and flexible wishlist app, reached a state I can call "feature complete". This iteration took two years of occasional work, so it's a big milestone for me. (I've posted updates on this app in previous threads)
Since the last update, I released everything that had been in testing since April, like gallery view, custom avatars, birthdays and, most importantly – autofill from link.
Now I'm preparing for a big launch – working on the landing page, SEO and onboarding experience. Here's what I've done so far:
1. I updated the landing page to actually tell users about the app and look presentable. I already see a big improvement in conversion
2. I added SEO crap to the landing page. This is painful for me, but sadly that's how Google Search works (it doesn't). It's paying off, too
3. I overhauled the onboarding experience, to make it smoother for new users
Two more features are still in testing; I plan to ship them before the release, but currently i'm not completely happy about them.
Telemetry tooling for local Claude/Codex usage so I can analyze old sessions and fill tooling gaps, make sure I'm using the right models for various tasks, update my processes, etc.
I've also replaced Linear with a local sqlite-backed tool, added tooling to speed up code nav, and am building "no-slop", a tool for enforcing architectural guidelines on vibe-coded projects.
I've been working on an LLM "harness" called Logbook[0] for fun with Codex.
The core idea was that I've always been a lousy notetaker, even going back to my school days years ago. I'm great at one-off and one-liner notes and occasionally more in-depth notes, but tend to not flesh them out fully enough to make them worth re-visiting.
This has been a struggle even as an engineer sitting in meetings or trying to absorb new information when starting a new job and ramping up.
Logbook is meant to use an interaction paradigm we as engineers are using very often these days: it's a terminal UI in the vein of Claude Code, OpenAI Codex, etc.
It's targeted at the entry of free-flowing thoughts but you can also write longer notes by launching your default shell editor from within the tool.
Each note is saved as markdown with some metadata and that metadata is then saved to a local SQLite DB.
For the LLM side, the tool extracts useful metadata from those notes and then performs some local ranking/categorization. It then has the ability to send a note or some metadata to a provider of your choosing (it's straightforward to use OpenAI or something more broad and customizable like OpenRouter) for further enrichment or filtering.
A couple examples of the currently implemented slash-commands: `/related` can be used to find related notes; say you've been scribbling down notes about OAuth or MCP servers and want to gather up the most relevant notes to one of those topics. Or you can use a `/gaps` command that'll help you find things you've taken notes about but without properly defining or providing context around them (i.e. you mention ID-JAG for OAuth but never actually say what ID-JAG is, this command will tell you this so you have a chance to review what you previously wrote and can then define exactly what that keyword is about).
It's still very much a work in progress. It's not meant to be a full-fledged note-taking app a la Obsidian or anything like that. I've just always preferred taking notes in markdown or plain text and this is a great way to continue doing that while also making enrichment of the notes pretty simple.
You may ask "why not just use agent memories?" I don't really like the idea of tightly coupling notes with codebases or agents and I don't find the current UX very intuitive at least for the way I prefer to take notes.
Search is currently provided by the Radio Browser API, but I'm now building my own station API with proper metadata and thumbnail coverage. A station discovery page with most played stations is also in the making.
I (and Claude, codex, etc) have compiled/ran wayland, X11, GNOME, KDE, and Ladybird natively on a jailbroken iPad. Hoping to release more details soon but I have a slop wiki here:
suprasole - a pty proxy for enabling deterministic and ergonomic extensions/middleware for harnesses in an agnostic way... also working towards building an automation/scripting layer on top of harnesses via suprasole...
I'm building Voxoria (https://voxoria.ai), it tracks whether B2B brands get mentioned when people ask ChatGPT/Perplexity/Gemini instead of Googling.
Ask the same engine the same question twice and you get different answers, different citations, sometimes a different opinion of your brand, so figuring out how best to present this has been a fun product problem to solve.
It also tries not to be yet another dashboard: instead of just analytics, an agent turns the findings into a ranked list of "ship this fix" todo items.
Curious, how fast the AI providers re-index a page after you make a change? Do you see the results in the next model update, or do they try to use more realtime data by making their agent fetching the website every time?
I tend to print a lot of stuff to read while disconnected. This is a tool to help squeeze as much content onto a printed page as possible instead of printing 4 or more pages per sheet.
A good use of Claude slop I'd argue. Currently trying to figure out how to set up the site so that an LLM tasked with printing content through it can figure out how to use it in the best way.
building a 90s style point and click 2d game called AshNOak that generates varied stories with 3 characters. Story beats are managed using opensource LLMs. still a WIP.
I'm having fun writing another agent harness nobody uses for real (not even me). As a side effect, I got an actor library in typescript to do it: https://github.com/muromec/posipaki .
After some time I figured the best use of AI is to produce even more AI-related slop and spend my occasional 2 dollars on the deep seek model to do it.
Models are fun when given a stable identity and made aware of it.
So I am building https://buyvds.net with a global visual interface which has a list of around I think 249 vps providers over 60 countries combining up to 863 links (one vps provider can provide vps in multiple countries)
It uses DuckDB to expose a sql query interface in the website itself because I wanted to give the freedom to just do something interesting with the data.
My friend John had an idea which I really liked so I added "john mode" which shows what he was suggesting :-D
I think that Hackernews might like it but honestly, I have probably just made it out for myself and also as something to just share casually with folks on hackernews and other websites and hopefully I am able to help people and myself in some way with this website.
Open to some feedback as usual (for mostly all my projects really) and thanks for reading and have a good day dear reader and hey perhaps give my website a try!
I've been climbing for a decade, but over the past 3 years I've put on a bunch of weight due to work and certain life events. But I want to change that.
I know what motivates me: seeing progress. The feedback loop of "do X, see Y gain" is what keeps me going.
So I started building an integrated dashboard that can aggregate data from multiple systems:
- My digital scale
- Apple Watch (sleep + running performance)
- Beastmaker Motherboard, which is an electronic board that you attach a hangboard to and it shows you various stats like how much force you're applying
The idea is that every morning I'll open the dashboard and be able to see exactly how much progress I've made the previous day: weight loss, strength gain, cardio performance.
It's an interesting problem. There's essentially two parts to it: Apple Health, which aggregates data from the scale and the Apple Watch and can POST-export it hourly, and the electronic board, which sends data via BLE in real time. The destination for both of these will probably be an always-on Raspberry Pi 5, but I haven't decided yet. Then I'll have a small server app that can pull the data from the Pi and draw some fancy charts.
I've been working on a similar concept (aggregate health data from multiple sources) but on a wider scale:
1) annual bloodwork as part of my annual preventive care;
2) InBody measurements, including grip strength;
3) quality of air in my region;
4) Apple Watch but mainly for steps, sleep data and resting heart rate;
5) allergy panel or minerals/vitamins screen plus something nutrition-related along those lines (TBD).
The idea is to see trends and try to apply AI for correlating, at the first glance, completely unrelated data layers. Example how I'm thinking about this one: there's somewhat clear correlation that I sleep better when I do above average steps per day. How is my sleep quality affected if, let's say, I did above avg steps with a bad air quality at that time? (i.e. wild fires / pollen season / etc.)
I've built a Go application to ingest those data sources and currently finishing my first import use case - Apple Watch data.
I'm working on Hiring Method (https://hiring-method.com). After ~2 years of development and two exhausting pivots, v1 is finally live.
I see a lot of new (and, to be frank, a lot of mature ones) HR tools are just wrapping Chatgpt around resumes (almost like "OK, now match this resume against this job posting and tell me if applicant fits"), which introduces a massive bias/inference problem.
I decided to build the exact opposite – a deterministic, math-driven fitness engine. It extracts structured scorecards from both CVs and job requirements and mathematically matches them, so you can actually review the exact reasoning behind why a candidate scored a, say, 85%. This fitness value is specified at every interview step – as applicant goes through an interview process their scorecard is updated at all steps.
If anyone here builds in the HR space, I’d love your feedback.
I’m working on a synthetic control arm for a heart valve trial using synthetic patients from both the heart valve registry (in the near future) and a frozen EHR encoder. It’s pretty fun exercise.
Codebook - https://github.com/0x007BA7/codebook
It’s a better code reader built on top of sem (treesitter). I’m getting a lot of massive PRs at work now, and this has helped a lot with reading them. It decomposes the changes into entities and sorts based on what has the most dependencies. This tends to put the most important functions first. Plus I can click through the dependencies for each function and mark things as reviewed as I’m reading them. It’s a big improvement over the GitHub review flow for me at least.
I was an experienced game designer and producer (mostly RTS and narrative RPG). Some years ago, my career was derailed by major health developments. Since then, I haven't been able to work as I once did. I didn't expect I'd be able to meaningfully contribute to a game again.
Earlier this year, a colleague encouraged me to experiment with Claude Code. So now I have a little game project. :) Being unfamiliar with genAI, I chose something modest so that I'd more likely be able to push it to a fairly polished state.
Tentatively called Vestiges, it's a single player 2D roguelite strategy game with meta progression, some narrative, and a card minigame (the latter inspired by work I did on Star Wars: Knights of the Old Republic II). It's set in the near future. You are using software (the game) to navigate a person's digitized mind, reading their memories.
I hope to have a playable demo within the next month or so.
This month I worked on my own AI agent written in POSIX shell. It's been surprisingly useful for debugging command line problems on an old laptop running linux, like fixing an apt problem.
https://github.com/patrickjh/ssa
I am working on https://chiptune.app.
Most recently, adding SID support, and adding timing information to the emulated formats that don’t have any tagged song duration (e.g., converting NSF to NSFE). This means playing the songs one by one and watching for repeated sequences of writes to the sound chip registers.
https://www.lykly.ai/
In my free time, I'm building an iPad game to help Autistic kids practice real world skills. The game is called Pocketown. https://pocketown.app/
If you're a parent to an autistic child(like me), I'd love to talk to you about this.
If you know anyone who has an autistic child, It would be super helpful if you could tell them about this game.
Thanks!
I also recently got JBD2 compliant driver merged into GNU HURD's ext2, and I'm now improving documentation, and things like that.
Here is the repo where the work was happening: https://github.com/mnikic/hurd-journaling
( ｡ ♡ ‿ ♡ ｡ )
Rebuilding my long ERP-like project to become more like a "business engine" to become a proper ERP backend (so it can cover most business scenarios and is multi-company, branch, currency, etc).
Have now the core done and working on a MVP UI to validate it.
One of the things I always wish to do properly was to model currency and unit of measure in full as core types, plus truly trace everything related to the business transaction from production to beyond the sale.
Looking into a persistent workflow engine like `temporal` now...
P.D: I'm debating if open source or not, in light of the AI-pocalypse...
I'm creating a "spy mission" for my granddaughter. Using an Axiometa Genesis Mini with some modules for gating access. Real-world challenges, enter results into the Genesis, get directions to the next challenge.
I am trying to involve family members' specialties and interests so she can elicit help from each person: entomology, mechanical engineering, etc.
All that for her to discover the Secret Planned Activity the following day (visiting a theme park.)
Just finished Veritas - Truth Across Cultures[1]. The idea is that many different cultures have written sayings that are basically the same. Similar to how one would give more credence to more than one person saying the same thing, the same is true for cultures. So, this is like my catalogue of what diverse cultures agree on. I have been promoting this book. [2][3]
[1] https://www.amazon.com/dp/B0H7FLQDYD
[2] https://www.chestergrant.com/7-truths-from-veritas-by-cheste...
[3] https://www.chestergrant.com/what-different-cultures-agree-o...
I've been throwing together some web-playable retro arcade games:
Rally-X: https://linsomniac.github.io/rally-xy/
Tempest: https://linsomniac.github.io/teapot/
Dig-Dug: https://linsomniac.github.io/digger/
And not an arcade game, but a multi-player throwback to a multiplayer shooter game my team used to play called nSnipes: https://github.com/linsomniac/isnipes
iSnipes does require downloading and running a server, the others you just play on the web.
As an engineering manager and later a director, a regular and often difficult task was assigning ROI to projects that had recognizable but diffuse impact. It's easy to calculate a dollar figure for certain projects by projecting additional conversions or revenue. It's harder for a security or SRE project that doesn't have a direct impact on those things, but can help reduce risk or empower a bunch of other teams to operate more safely or move more quickly.
I have been working on a set of tools and standard formulas that can be applied to these cases and demonstrate a more accurate view of a team's or department's overall ROI. The plan is to open-source the bulk of it, but provide a hosted service for folks who don't want to manage it themselves.
I’m working on https://urhired.ai
It’s an AI-powered mock technical interviewing platform, for system design and coding.
I’m also working now on behavioral mocks, with a coach feature!
I’ve been working on it on and off for a year, but started spending significant time in the last few months.
I know everyone’s burnt out on LLM products, but I think it’s nice for this kind of prep since you can do it on demand and in an environment it’s safe to fail as much as you need without judgement so you can actually learn.
It’s early and free if anyone is interested in trying it out (at least while I can afford to serve it for free)
In my free time, I'm building an iPad game to help Autistic kids practice real world skills in a virtual town - https://pocketown.app/
Happily continuing work on https://cardcast.gg. It's a way for my friends and I to play Magic: The Gathering online using a webcam. Spelltable has been neglected by WoTC, and we wanted more features, so I rolled my own (and learned some Computer Vision stuff in the process!) Most recently I rolled out automated card tracking, so there's no more need to click on cards to know what they are, they just automatically scan on a set interval. I also moved over to using livekit for the service, and man, I should've done that sooner. If you play MTG, I'm looking for more people to come give me feedback and contribute. Feels like something others can benefit from!
I recently decided to build and run my own training free inference engine... and it worked.
It's called TinyToT: https://github.com/guilt/TinyToT
You basically get a LLM without any training/RL here.
See: https://x.com/i/status/2076344798525460581
I've been building some sqlite plugins for playing with ngrams for text search. I'm not sure why, but I've learned a lot about the internal sqlite apis and it brings me a lot of joy. I would like to start a blog detailing some of this work but haven't found the time yet
I'm working on a large open-world terrain-rendering library for threejs's webgpu renderer! https://hello-terrain.kenny.wtf/
At its core, it uses quadtrees, and has affordances for arbitrary topologies. Check out the planet and donut-world demos!!!!
- https://hello-terrain.kenny.wtf/examples/torus - https://hello-terrain.kenny.wtf/examples/cube-sphere - https://hello-terrain.kenny.wtf/examples/raycast-character-c... (a little slow to load~)
This is great, and my users (turtlespaces.org) could absolutely use this (we use three and react), but you haven't specified any license?
Thanks! How silly of me, I will update the repo with an MIT License~
Great! Thanks so much, I'll let you know how it goes integrating it :)
Building a Dropbox like client that work with every protocol there is: S3, SFTP, SMB, NFS, Azure Blob, IPFS, ...
https://github.com/mickael-kerjean/fdrive
- https://banksia.bio: I suspect there is a market for private consumer whole genome sequencing services. Think "Mullvad vpn" of sequencing - I shouldn't have to know the identity of the person I am sequencing, and they can be identified with a client number not tied to their PII.
- lazyslurm: A TUI tool for managing/viewing slurm / HPC setups. Similar to lazygit or lazydocker (https://github.com/hill/lazyslurm)
Self hosted media platform with similarity search, face search and clustering, a great fun media player with shuffle, VS mode where you rank your media resulting in an elo, remote access to app over the web, a TikTok style "swipe" mode of your own media. Started as just a good media viewer over 5 years ago but I just keep adding things. Has a small patreon following so people seem to like it. https://lowkeyviewer.com/
We are creating an AI for science and engineering: https://vicena.ai
It's connected to all papers of course, and all kinds of scientific simulators and specialised models. But I'm currently in Shanghai talking to labs to join a CloudLab (and hopefully setting up our own robotic labs), so that AI can actually order real physical experiments that are executed cheaply, efficiently and seamlessly as tool calls.
Through experiments like autoresearch we have seen that AI is already, if not always smarter, at least more systematic than humans at following the scientific method relentlessly (hypothesis-experiment loop). Let's see what we can do by connecting it to the real-world :)
I heard an episode of the Odd Lots podcast about HayWire (haywireag.com), a site that pulls public data from government PDFs + APIs, uses LLMs to parse it and turns it into an easily readable website that has all of the latest info on hay prices.
The host made an offhand mention that there's probably a bunch of other similar sites that could be created with all the of useful but difficult-to-access government data out there. That sounded interesting, so I thought I'd give it a whirl!
Working on a few of them, including The Waterline (https://the-waterline.com/) for water info for the western US, The Scramble (https://the-scramble.com/) for egg prices, and The Dwell (https://the-dwell.com/) for container ship dwell times.
All pretty fascinating topics to learn about, plus it's been interesting to see how much of the website setup I can fully delegate to Claude. With Cloudflare to buy domains and put the sites up, a Google Service Account with access to Google Search Console and GA4 to create those properties and a Buttondown API key for weekly email sending, it's almost all hands off for me. Though it refuses to take control of the browser and create a new Buttondown account, which I was surprised is a red line.
I keep hacking on my Markdown-based text editors at https://saturn9.studio/
I went on a side quest to strip out ProseMirror and markdown-it and implement a custom stack instead. I open sourced both the parser and editor (https://saturn9.studio/technology/):
* Markoffset is a fast, plugin-based, incremental Markdown parser: https://github.com/saturn9studio/markoffset
* Scribeframe is a text editor engine: https://github.com/saturn9studio/scribeframe
I'm working on better UI for my app AutoPTT [1]. It's probably going to look somewhat similar to Discord's settings, except I won't be using Electron. I refuse to use bloated stuff like that, so I'm going to keep using a pure C UI library [2].
Obviously this is going to take a bit more work but at least the resource usage will stay low, which I consider quite important. Especially since gamers are a large portion of the user base.
[1] https://autoptt.com/
[2] https://github.com/Immediate-Mode-UI/Nuklear
https://safebots.github.io/Safecloud
Scaling Zigpoll[0] to 2M ARR as a solo founder (currently at 1.5 ARR). Each year you double ARR for a business it comes with a whole new set of challenges which are layered on top of the changes in the tech landscape.
Fortunately I think I've been bailed out by agentic coding the last couple months from a product perspective but I think the major gains so far have been due to marketing and exploring alternative growth channels. Even so, keeping momentum is never a given and requires constant output from all angles! Onward...
[0] https://www.zigpoll.com
I finally decided to put together a Sonos controller with the navigation I wanted and SMAPI servers for the live music archive, and all the grateful dead and phish shows. Thanks Claude! A PWA with tailscale and I have a controller that does what I want and works at home on an S1 system and at the beach on an S2 - seamlessly. Better than the "real" thing as far as I can tell.
https://github.com/agtilden/misonos
apt-cacher-ultra: To help reduce the impact of future DDoSes of Ubuntu. Just released 1.0 yesterday after working on it a couple months.
As that DDoS was going on I realized that some of our dev and staging processes were impacted by it, and that apt-cacher-ng was doing nothing to help us.
apt-cacher-ultra snapshots the repo meta-data after verifying it, and only promotes it if the metadata all checks out. Additionally, it can optionally keep a list of "hot" packages, and can include those in the snapshot calculation.
Additionally, apt-cacher-ng would regularly choke and require some handholding. I'm hoping -ultra resolves that as well.
https://github.com/linsomniac/apt-cacher-ultra
I'm working on leveraging NLP and LLM techniques to create a geometry over the discrete space of Ethereum transaction execution structure. (sorry... it's a bit of a mouthful)
https://www.chaingenius.ai
The goal is to find on-chain structural anomalies, as well as seeing if clustering by behavior has emergent semantic properties
What if your web apps e2e tests ran in production through actual user sessions? Know exactly what browser session cohorts are having issues. Open source, https://github.com/Faultsense/faultsense-agent
Modern coding agents code blind; they can't see the consequences of their actions. I built a cheap solution that lets them see your browser.
It's called peek-cli: https://github.com/puffinsoft/peek-cli
https://index.canopii.dev
Part of my job is to approve / reject MCP servers based on how secure they are and whether they are suitable for use in an enterprise environment. I was tired of my team being called the bottleneck to AI adoption, so I set out to automate the whole process.
I periodically collect the MCP servers and every new version from the Official MCP registry and assign them a score based on 29 distinct criteria like runtime guardrails (e.g. destructive tools, over broad permissions, rug pulls), SAST scans and transport & trust model.
As a result of this exercise, I found that 1 in every 10 MCP servers is pretty much unusable (score 40/100 or below). 18% of the popular MCP servers with 1000+ GitHub stars contain one or more security issues. 184 servers to date have changed their tool definitions after publication, which may indicate a "rug pull" attack.
I built this for security minded people who also want to be at the forefront of AI adoption and for security teams who are tired to be called the bottleneck.
Browsing the index is completely free, you only have to request an API key if you want automated, programmatic lookups for any workflow.
Feedback is always welcome!
I'm working on a multiplayer RPG https://grimrain.com - calling it an MMO is quite bold, but the gameplay fits that genre. The game server is designed to be self-hostable too, so it's like Valheim meets OSRS
Looks great! As a tenured Runescape player, I like the graphics.
This looks amazing
Still working on wordtrak’s daily mode. Would love your feedback!
https://wordtrak.com/daily
https://bastion.computer
This is an open source tool to run background coding agents + dev environment in isolated VMs. So far it has allowed me to migrate a majority of long running coding sessions to my homelab to run remotely. I can also run multiple in parallel without worrying about race conditions or my host machine breaking.
I usually work on my programming language lone lisp on my free time but I've been feeling burned out lately.
So I started a new side project: decompilation of my cherished childhood video games. Many Mega Man games, starting with Mega Man Battle Network 2.
I just finished polishing and verifying the early initialization routines, and have already traced various parts of the game's engine. I was surprised to discover that it was a huge state machine of sorts. I want to focus on reverse engineering the saving system so I can write a save editor, and the music system so I can listen to the music.
I'm working on rustledger https://rustledger.github.io a plain-text accounting software (Beancount spec implementation) in Rust.
I've been building WhyNotLog to answer tricky questions using statistics. Example questions include "what gives my dog allergies?" or "what affects my sleep?".
Available at https://whynotlog.com and promo code HACKERNEWS gives access to the pro plan for six months.
https://songformat.com
A text-based song format for generating music. I wanted to be able to create a song entirely using text, so I created a TOML-based format for doing so, and gave it most of the features you would find in a DAW. Since the format can be described in a SKILL file, AI can be used to write a song in this format, which can then be converted to audio.
My daily word game “Snibble” [0]
It’s basically snake meets scrabble meets PvP stealing. It’s a novel idea and I think it’s cool it hasn’t really been done before :)
The issue is it’s too complicated, the onboarding is dogwater, and the aesthetic is too complex
So I’ve spent the weekend fixing onboarding, fixing and relaxing the visuals mix and simplifying mechanics.
I’ve also tested LLMs playing the game through a harness I wrote. LLMs get smashed, they can form words and steal, but they lose badly to conventional bots.
I’ll be exposing an LLM leaderboard on my next release (hoping this weekend) with links to game replays for the LLMs.
Would love for people to give it a try, give me some feedback, and say what you’d love to see on the roadmap.
[0] - https://snibble.gg/
Created with a from scratch custom engine, pure typescript almost no dependencies
Completed games can be “replayed” and replays can fit in a QR code upto 30 minute games. So I think that’s pretty cool
In my 20 something experience of software development, it is totally ok if you don't work on anything so I don't work on something. If there is a possibility that your work will be something useful plus you will benefit from that, you definitely have enough time to do that in couple of coffee tea drinking times. Europe show off by their sidewalks and street signs. Computer is a little too lux for a human.
I'm working on so101-nexus, an open-source sim-to-real stack for the SO-100/SO-101 robot arms where you can record teleop demos, behavior-clone a policy, then fine-tune with RL. The goal is to be very compatible with Gymnasium, MuJoCo, and LeRobot.
https://github.com/johnsutor/so101-nexus
I _just_ published https://klar.im/ a local-first AI spam filter for Apple Mail on mac.
It is build using a model that can classify messages (ham/spam/marketing), packaged for Apple Mail but could be used in other places.
Building a new Smalltalk VM from scratch that better utilizes modern hardware (full multicore support) and a web-based system browser so I can develop with it remotely.
Cool!
Any demos available of the web based browser?
https://buildthreads.com/
Aggregator for new posts in build threads from 277 old-school DIY forums.
Build threads of people building cars, 4x4s, motorcycles, boats, airplanes, hot rods, musical instruments, etc.
This is amazing! Very refreshing in the age of AI to see so much manual building going on. Sadly I don’t have much time myself but I have several friends who would love this, I’ll pass it on to them.
Thanks, that means a lot. I've found that browsing through a few dozen build threads is the perfect cure for the AI blues.
Ohh this is the type of stuff that interests me although I am not a car fan but I like what you are doing with the aggregation/old-school DIY forums.
Good luck with your build and perhaps I might get interested in future too as I did once have a thought that having a custom car to me would reflect more cool-ness than an expensive one. I am really interested by small cars, perhaps retro. I imagine my favourite car to be somewhat like the car that Ryan gosling drives in La La Land.
but a cool project nonetheless, certainly thinking about it inspires a bit of car enthusiasm within me even though I am not that much of a car fan so much right now so a really cool project if it can help more people feel this spirit. good luck :-D
I have a question but how does building new (retro-inspired?) cars go about in terms of pricing. I feel like they might be too costly to get custom-built and that If I really ever in my life go about doing this, I would prefer DIY but I still imagine that it might be too expensive or hard to make a car. Are there any go-to cars which are easy/recommended within this space and how does it compare off economically and what are the technical expertise that you require with this type of stuff?
Once again, I wish ya good luck in the project and would love to hear your answers for some of the questions I have!
Thanks; much appreciated. I picked up an endless list of new build interests in starting the site and exploring different niche forums. Turns out I really like wooden boat builds, cyclekarts, intricate custom knives, handmade violins, the list goes on...
You're right that getting a car custom-built is where the costs add up quickly; easily north of $50K. Most of the cost is labor, which is $0 if you do it yourself. Some of the projects are much easier than others. If you want to fall down a rabbit hole, look in the kit car and hot rod categories; lots of affordable and small builds in there. The Buick Riviera in La La Land is more of a resto-mod cruiser project, but the small/retro itch is exactly what the kit car category scratches. The first step is to find a forum where people are building the car you like, and start following related build threads. That's the majority of my social media intake these days.
I just launched my digital media shelf on my personal website, a catalog of my favorite books, movies, records, podcasts, and more. Lots of fun to build despite some false starts and fits:
https://dmschulman.com/shelf/
I'm working on a collaborative post-apocalyptic fitness RPG. I wanted to build a game that lets you take over the real world, gets you off the couch, and has only positive multiplayer engagement. If you find or invite another player nearby, all your actions with them benefit you both.
It's for iPhone, and for the best experience, Apple Watch. It's very early, playable via TestFlight, and I would love feedback! There's a TestFlight link at: https://reverdure.yourstrategy.co
I started burning down the backlog of all the stuff I wanted to get to for side projects but never had time for (before LLMs):
- https://smacke.net/ffsubsync -- automagically synchronize subtitles, now purely client-side in your browser thanks to pyodide
- https://ipyflow.github.io/ipyflow/lab/index.html?path=demo.i... -- reactive python jupyter notebooks, again in the browser thanks to pyodide / jupyterlite
- https://smacke.net/pipescript/lab/index.html?path=demo.ipynb -- magritter-like pipe / placeholder syntax for ipython / jupyter, again able to run purely in the browser
- https://smacke.net/pycograd/lab/index.html?path=pycograd_sim... -- pyccolo and pipescript-powered autograd, once again able to run purely in the browser since numpy has a wasm target (notice a theme here :) )
7stems.net: a Spanish verb conjugator and method for learning Spanish verb conjugation, where irregular verbs are just verbs with more than one stem. Also just self-published a book.
I recently built and opensourced Inka[0], an AI journal for BOOX devices.
I continue to grow my main product BoltAI[1]
[0]: https://inka.page
[1]: https://boltai.com
Just trying to learn C again, making things from scratch in a multiplatform way, interfacing with X11 on Linux and wasm on the browser.
It's been fun dealing with memory and C's weird design in this age of agentic coding.
I'm working on the finishing touches for a big new "Event Filters" feature for my Shopify app, Stages (https://getstages.com). The feature will let users set up rules to decide which orders should be imported into the app based on certain criteria like Shopify product names, collection names, order value, and so on. Users have been asking for it forever, and I'm planning on publishing it this week!
I'm also working on an update to ShopifySharp, the .NET package I maintain for Shopify's graphql and rest APIs. I need to regenerate the graphql types and the fluent query builders for the July 2026 API version that was just released, and I'm planning on some extra QoL improvements that I've run into while using the package over the last couple of months. I particularly want to add some F# QoL features, since I wrote the package in C# but use F# in all my personal projects. (https://github.com/nozzlegear/shopifysharp)
I've been playing around with https://openworm.org/index.html a lot recently...getting back into artificial life "research" more broadly.
https://github.com/airdaydev/airday
Underpinning my current app is an e2ee local-first sync engine, basically it is a traditional client-server sync (encrypted logs + snapshots sequenced with integers). It sends bundles of Loro CRDT operations. I wrapped the client side in WASM to power the web app and the CLI and have started a swift wrapper to port to native iOS. Bundle size is 3MB/1.2MB g-zipped so pretty happy with it. I've realised that web encryption is kind of bs (at least not as "WE CAN NEVER ACCESS YOUR DATA" as some vendors state) if someone else is distributing the app.
Over the last week I have done a lot of performance work & data remodeling - CRDTs are interesting because you can let data fall through the gaps if you're not careful.
I'm working on Atomic Cloud, the hosted version of my open source knowledge graph project. https://atomicapp.ai/cloud/
Still working on Study Engine and Nomnominees(more or less done for now).
StudyEngine is a webapp I'm using while doing my masters in comp sci. I upload lecture notes, textbooks, papers, etc. It then extracts topics and tracks my mastery of them over time. It uses an LLM to generate questions and flash cards. It loops in some newer learning science ideas. It tests recognition first(multiple choice), and then once a level of mastery is matched, it switches to recall. Working on adding RAG to it, so I can surface where in the source material something can be reviewed when going over quiz results. Currently just for me an some friends. If can get a good eval set up, I might work on optimizing cost and seeing if it could be opened up.
NomNominees is simple webapp that tracks James Beard, Great American Beer Festival, Festival of Barrel Aged Beers, and other awards. I use it when I'm traveling to find places to check out. Even just a cluster on a map shows me neighborhoods I might want to check out.
https://studyengine.app
https://www.nomnominees.com
I've just finished this chrome extension recently: https://ypuf.com/
It helps me to automatically save a tab that's not been used in a while so it auto-closes it but saves it as well as having the ability to snooze a tab like how you'd do it in gmail.
Everything is locally stored with 100% privacy in mind.
And vim like navigation is natively done.
Still working on True Trials - motorcycle trials simulator with no guard rails and two-axis leaning control. You can play the demo in your browser:
https://truetrials.substepgames.com
Previous comment: https://news.ycombinator.com/item?id=47749027
https://PCGaming.ca
I follow a bunch of gaming rss feeds just to keep up with what’s new in the industry. Figured I’d take those and turn them into a news aggregator to put them all into one place. Threw in some game deals/affiliate to pay the web hosting bills (hasn’t paid for anything yet, lol).
I continue working on SecurityBot.dev, having lately made significant improvements to the broken link monitor.
https://securitybot.dev
A JVM written in go at https://www.jacobin.org
I ran into the same performance issues when reviewing Next.js apps, so I made a tool that scans Next.js sites and tells you what's slow. It's basically a performance tool that works best with Next.js apps, and highlights things like slow LCP, heavy JavaScript, and third-party impact and gives you suggestions and prioritizes them. Here is the link if anyone wants to check it out:
https://www.nextperf.dev/
Used Claude to write conformance tests for https://aep.dev.
https://github.com/thegagne/aep-conformance-test
Did pretty well, only took a day or so. I first had it inventory every MUST, SHOULD, and MAY in the spec, and then let it rip. I did guide it quite a bit to get what I wanted, but at the end I’m pretty happy with it as a first draft.
Helped me learn the spec and will be helpful to hone my dotnet AEP server, and aepbase.
There already existed an aep e2e validator which does a similar thing, but this is more thorough and generates a nice report. It will tell you not just whether your API follows the spec, but also what parts of the spec it does not implement.
I needed to get customers for Hyperclast [1], but I kept procrastinating on the 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 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.
If you're an early stage b2b founder, I'd love to hear your feedback about TractionBeast.
[1] https://hyperclast.com/ - fast, self-organizing, self-hostable replacement for Notion
I am working on this Review Flow. An extention for Cursor / VScode to enable IDE as first class for code reviews.
It came from a frustration that I needed to switch between the browser and the IDE to navigate through the code and leaving comments on Gitlab at the company.
So I thought it could useful to create something and let it be accessible to the public as open source.
link: https://github.com/LuyandaLia/reviewflow
In a nutshell, it accepts draft comments, which can be modified and submitted.
It auto configs the env for Python as it uses FastAPI for calls to Gitlab.
It's my initial attempt. Suggestions, reviews, contributions are invited.
One love
A clone of popurls that learns what I like to read: https://perurls.onrender.com/
https://mathend.vercel.app/
i make the microsoft word but less sucks, and there is scientific calculator integrated and also ai on it too, available on linux (stable) and windous (unstable).
I’m working on building AI-backed sms phone numbers for lead generation campaigns needing 24/7 or multilingual support. Less friction than downloading apps or interfacing with chat bots, and just as powerful.
https://www.places.is/
Sharable, real-time synced maps, Google Docs for maps basically.
I think the coolest part is the import feature where you can paste a link to a video or article and it pulls out places and enriches them with images and a description. You can also write your own notes, vote on places to go with friends, and apply colors. Right now I am working on user acquisition and experimenting with different marketing approaches.
https://orcabot.com
OrcaBot was my Jan+Feb attempt to defeat the lethal trifecta whilst offering all the bells and whistles of a claw like sandbox: https://orcabot.com/blog#breaking-the-lethal-trifecta
This month I've been working on the free desktop version which is available as of today but probably carries a few too many bugs to not be worth promoting just yet.
I'm using AI to build a project to teach me SQL. I use claude code to build the lessons, and then I complete them myself. I've done this for a few topics already, and I think it's one of the most amazing things you can do with LLMs.
https://github.com/adammfrank/sql-practice
Repairing switching power supplies for IFR-1200S service monitors with my friend who's been in the repair business since the 1950s.
This month I have mainly been building my fork of tiny-dfr so that my 2019 mbp touchbar isn’t useless when on hyprland/cosmic
https://github.com/keloran/tiny-dfr
Unfortunately due to the way GitHub defaults to creating prs in the parent fork, I have accidentally created a few invalid prs in asahi before I was ready, and now am banned from creating a good upstream one
Post-industrial hardcore noise blog.
A clojure / fennel dsl for generating pure data patches, looking to make a small drum machine in love2d and being able to live update the internal patches would be fun.
I am working on a reddit lead generator that pings you when someone wants a product like yours in real time, and It does so only when the intent is high.
Was using this only for my self, but i think it might be interesting for other people as well.
https://getintentengine.com
Are you using the reddit api or scraping new reddit posts/replies?
Scraping. I applied for the token but never heard back. Reddit doesn't want new devs working on it.
Had the same experience with upwork, feels like the door has closed on easy api access to big site data, ironically funneling people's money to proxies and other scrape helpers instead of their own api.
Yeah, perhaps its due to noone wants LLMs trained on their data for free. I don't know, at least for reddit there are still ways to get the data for free.
I am building Bloomberry (https://bloomberry.com), an alternative to tools like BuiltWith/Wappalyzer to provide sales signals when companies subscribe or churn from over 1600 B2B tech products. Think backend/backoffice tools like Hubspot CRM, or Netsuite, or Microsoft 365, rather than frontend technologies like Wordpress or React.
An agentic link discussion site: https://news.nuts.services
Curious, what would be the goal for this?
I've been thinking about doing valet storage. Anyone had any experience? I think there's some untapped potential in the 'burbs.
This month https://thingstohave.app, my calm and flexible wishlist app, reached a state I can call "feature complete". This iteration took two years of occasional work, so it's a big milestone for me. (I've posted updates on this app in previous threads)
Since the last update, I released everything that had been in testing since April, like gallery view, custom avatars, birthdays and, most importantly – autofill from link.
Now I'm preparing for a big launch – working on the landing page, SEO and onboarding experience. Here's what I've done so far:
1. I updated the landing page to actually tell users about the app and look presentable. I already see a big improvement in conversion
2. I added SEO crap to the landing page. This is painful for me, but sadly that's how Google Search works (it doesn't). It's paying off, too
3. I overhauled the onboarding experience, to make it smoother for new users
Two more features are still in testing; I plan to ship them before the release, but currently i'm not completely happy about them.
Self healing test selectors and authoring test journeys with natural language for Cypress using Claude Code or self hosted models. [0]
[0] https://github.com/adam-s/goldseam
I’m hacking on an app that helps immigration lawyers spend less time chasing client documents: https://casedaemon.com/
We just launched a couple weeks ago and we’d love any feedback or suggestions!
Trying to summarize my career advice reading: https://www.nordstroem.ch/posts/2026-07-12-collected-career-...
Open to feedback and missing pieces.
VERDURE is a plant sandbox...
https://store.steampowered.com/app/4069810/VERDURE/
I love the art
Digger Solo - a smart file explorer with semantic search and maps for your files (images, videos, text, audio). All running locally on your machine.
https://digger.so/o
Myself
Which aspects
Compulsion to respond to random posts
An iOS app to help toddlers get bored of smart phones more quickly: https://toddlerphotolock.com/
sent it to my wife, will come in handy!
https://flipcompare.com
Realize that I'm really bad at marketing. Trying to work on it.
It lets you take a picture of video games and shows price comparisons for the major buy lists.
Telemetry tooling for local Claude/Codex usage so I can analyze old sessions and fill tooling gaps, make sure I'm using the right models for various tasks, update my processes, etc.
I've also replaced Linear with a local sqlite-backed tool, added tooling to speed up code nav, and am building "no-slop", a tool for enforcing architectural guidelines on vibe-coded projects.
I've been working on an LLM "harness" called Logbook[0] for fun with Codex.
The core idea was that I've always been a lousy notetaker, even going back to my school days years ago. I'm great at one-off and one-liner notes and occasionally more in-depth notes, but tend to not flesh them out fully enough to make them worth re-visiting.
This has been a struggle even as an engineer sitting in meetings or trying to absorb new information when starting a new job and ramping up.
Logbook is meant to use an interaction paradigm we as engineers are using very often these days: it's a terminal UI in the vein of Claude Code, OpenAI Codex, etc.
It's targeted at the entry of free-flowing thoughts but you can also write longer notes by launching your default shell editor from within the tool.
Each note is saved as markdown with some metadata and that metadata is then saved to a local SQLite DB.
For the LLM side, the tool extracts useful metadata from those notes and then performs some local ranking/categorization. It then has the ability to send a note or some metadata to a provider of your choosing (it's straightforward to use OpenAI or something more broad and customizable like OpenRouter) for further enrichment or filtering.
A couple examples of the currently implemented slash-commands: `/related` can be used to find related notes; say you've been scribbling down notes about OAuth or MCP servers and want to gather up the most relevant notes to one of those topics. Or you can use a `/gaps` command that'll help you find things you've taken notes about but without properly defining or providing context around them (i.e. you mention ID-JAG for OAuth but never actually say what ID-JAG is, this command will tell you this so you have a chance to review what you previously wrote and can then define exactly what that keyword is about).
It's still very much a work in progress. It's not meant to be a full-fledged note-taking app a la Obsidian or anything like that. I've just always preferred taking notes in markdown or plain text and this is a great way to continue doing that while also making enrichment of the notes pretty simple.
You may ask "why not just use agent memories?" I don't really like the idea of tightly coupling notes with codebases or agents and I don't find the current UX very intuitive at least for the way I prefer to take notes.
[0] - https://github.com/joshwertheim/logbook/
I am working on an agentic-driven news aggregator focused on AI Filmmaking and generative media. https://genbuzz.news
I’m working on improving the apps I developed for iOS by adding new features and fixing the bugs: https://fruitfulapps.com/
Trying to make it effortless to build p2p apps without any setup:
https://trystero.dev
Continuing my newsletter about agentic coding:
https://www.agenticcodingweekly.com/
I‘m working on an online radio player for community radios. https://radiodock.app
Search is currently provided by the Radio Browser API, but I'm now building my own station API with proper metadata and thumbnail coverage. A station discovery page with most played stations is also in the making.
https://corvi.careers/ Adding salary visibility for U.S and improving job search
I (and Claude, codex, etc) have compiled/ran wayland, X11, GNOME, KDE, and Ladybird natively on a jailbroken iPad. Hoping to release more details soon but I have a slop wiki here:
https://xios.maxleiter.com
suprasole - a pty proxy for enabling deterministic and ergonomic extensions/middleware for harnesses in an agnostic way... also working towards building an automation/scripting layer on top of harnesses via suprasole...
Still plugging away on Raygum. Think Letterboxd for music.
https://raygum.com
I'm building Voxoria (https://voxoria.ai), it tracks whether B2B brands get mentioned when people ask ChatGPT/Perplexity/Gemini instead of Googling.
Ask the same engine the same question twice and you get different answers, different citations, sometimes a different opinion of your brand, so figuring out how best to present this has been a fun product problem to solve.
It also tries not to be yet another dashboard: instead of just analytics, an agent turns the findings into a ranked list of "ship this fix" todo items.
Curious, how fast the AI providers re-index a page after you make a change? Do you see the results in the next model update, or do they try to use more realtime data by making their agent fetching the website every time?
Working on a platform to create agents using prebuilt tools. Using it to learn more
https://avi-perl.github.io/dense-printer/
I tend to print a lot of stuff to read while disconnected. This is a tool to help squeeze as much content onto a printed page as possible instead of printing 4 or more pages per sheet.
A good use of Claude slop I'd argue. Currently trying to figure out how to set up the site so that an LLM tasked with printing content through it can figure out how to use it in the best way.
A back up plan incase I really can't get back to working as an engineer. ugh...
RV64 toy/hobby kernel. No compatibility aim but rather at efficiency and speed.
building a 90s style point and click 2d game called AshNOak that generates varied stories with 3 characters. Story beats are managed using opensource LLMs. still a WIP.
I’ve been building a shared memory layer across all AI tools
www.memoryplugin.com
needed seating planner for my wedding, so created something that suits my needs
https://easywed.app
Needed seating planner to organize my wedding, came up with something that suits my needs
https://easywed.app
I'm having fun writing another agent harness nobody uses for real (not even me). As a side effect, I got an actor library in typescript to do it: https://github.com/muromec/posipaki .
After some time I figured the best use of AI is to produce even more AI-related slop and spend my occasional 2 dollars on the deep seek model to do it.
Models are fun when given a stable identity and made aware of it.
I'm working on pirate.kred - a Tip Jar DNS for pirates to directly and easily pay creators/authors.
I talked more about it here: https://news.ycombinator.com/item?id=48881942
So I am building https://buyvds.net with a global visual interface which has a list of around I think 249 vps providers over 60 countries combining up to 863 links (one vps provider can provide vps in multiple countries)
It uses DuckDB to expose a sql query interface in the website itself because I wanted to give the freedom to just do something interesting with the data.
My friend John had an idea which I really liked so I added "john mode" which shows what he was suggesting :-D
I think that Hackernews might like it but honestly, I have probably just made it out for myself and also as something to just share casually with folks on hackernews and other websites and hopefully I am able to help people and myself in some way with this website.
Open to some feedback as usual (for mostly all my projects really) and thanks for reading and have a good day dear reader and hey perhaps give my website a try!
a gibbet
I've been climbing for a decade, but over the past 3 years I've put on a bunch of weight due to work and certain life events. But I want to change that.
I know what motivates me: seeing progress. The feedback loop of "do X, see Y gain" is what keeps me going.
So I started building an integrated dashboard that can aggregate data from multiple systems:
- My digital scale
- Apple Watch (sleep + running performance)
- Beastmaker Motherboard, which is an electronic board that you attach a hangboard to and it shows you various stats like how much force you're applying
The idea is that every morning I'll open the dashboard and be able to see exactly how much progress I've made the previous day: weight loss, strength gain, cardio performance.
It's an interesting problem. There's essentially two parts to it: Apple Health, which aggregates data from the scale and the Apple Watch and can POST-export it hourly, and the electronic board, which sends data via BLE in real time. The destination for both of these will probably be an always-on Raspberry Pi 5, but I haven't decided yet. Then I'll have a small server app that can pull the data from the Pi and draw some fancy charts.
I've been working on a similar concept (aggregate health data from multiple sources) but on a wider scale: 1) annual bloodwork as part of my annual preventive care; 2) InBody measurements, including grip strength; 3) quality of air in my region; 4) Apple Watch but mainly for steps, sleep data and resting heart rate; 5) allergy panel or minerals/vitamins screen plus something nutrition-related along those lines (TBD).
The idea is to see trends and try to apply AI for correlating, at the first glance, completely unrelated data layers. Example how I'm thinking about this one: there's somewhat clear correlation that I sleep better when I do above average steps per day. How is my sleep quality affected if, let's say, I did above avg steps with a bad air quality at that time? (i.e. wild fires / pollen season / etc.)
I've built a Go application to ingest those data sources and currently finishing my first import use case - Apple Watch data.
Would be happy to connect and chat about this.
I love being a gamedev: https://github.com/InvadingOctopus/comedot
One day I will make a game.
I'm working on Hiring Method (https://hiring-method.com). After ~2 years of development and two exhausting pivots, v1 is finally live.
I see a lot of new (and, to be frank, a lot of mature ones) HR tools are just wrapping Chatgpt around resumes (almost like "OK, now match this resume against this job posting and tell me if applicant fits"), which introduces a massive bias/inference problem.
I decided to build the exact opposite – a deterministic, math-driven fitness engine. It extracts structured scorecards from both CVs and job requirements and mathematically matches them, so you can actually review the exact reasoning behind why a candidate scored a, say, 85%. This fitness value is specified at every interview step – as applicant goes through an interview process their scorecard is updated at all steps.
If anyone here builds in the HR space, I’d love your feedback.
If tools like this are popular then it sounds like it'll be impossible to switch domains.
I’m working on a synthetic control arm for a heart valve trial using synthetic patients from both the heart valve registry (in the near future) and a frozen EHR encoder. It’s pretty fun exercise.
I was working on sharemygit.com
However, LLM coding has made coding less rewarding so… Im thinking about starting a new hobby as coding for fun has become prompting.