YHK - yet another hacker news clone

> 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.

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

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.

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.

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

https://brodlist.com

Wrote up more details at https://openrun.dev/blog/service-binding/

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)

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.

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...

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

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

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://aptakube.com/

https://raygum.com

Website: https://www.asfaload.com/

Code: https://github.com/asfaload/asfaload

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.

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

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

[1] https://apps.apple.com/us/app/reflect-track-anything/id64638...

Deliberately no ads, no subscription, no tracking, works offline.

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.

https://github.com/pkhamre/opencode-docker

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.

• 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

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.

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

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.

https://github.com/agentify-sh/gateway

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.

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

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

C++/python/networking/systems/web developer for 30 years with plenty of free time

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)

[0] https://cybernetic.dev

[1] https://github.com/sveltejs/svelte/issues/17176

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!

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.

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!

Re-reading the Lean Startup to hone our GTM, market validation and growth engine.

(mathbreakers.com)

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.

Not technically released even though the site is live, but close enough to a beta at this point.

https://phials.phoundry.app/

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.

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).

> Guild manager for my MMORPG guilds with Discord integration

https://odeva.app

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...

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 also made Computer Engineering for Babies which I've posted about on here a couple times before.

https://hackylabs.com

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!

An open source audio interface along the lines of a Scarlett 2i2.

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.

https://nicolasbouliane.com/recipes/holunder-syrup

https://www.codako.org/

https://github.com/panyam/mcpkit

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.

https://m4gr4th34.github.io/dossier-001/paper.html

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

- 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

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

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!

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?

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/

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.

https://28times.com

I'm currently working on modeling energy, climate and new policies like universal basic income

https://microlandia.city

https://github.com/beeb/swpui

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.

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.

indiesecurity.com

https://fata.dev

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.

The idea is decompile something like Wordperfect or Framemaker, then port the NeXTStep code to GNUStep and have WP on GNUStep/Linux.

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!

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.

- 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

hack music

And on a new post about how to design web apps for the AI-era for my blog: https://mliezun.com

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...

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.

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...

https://store.steampowered.com/app/4810350/Medusas_Gaze/?bet...

Created with 0 AI assets

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.

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.

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.

- https://github.com/rumca-js/awesome-database-feeds - list of RSS sources

- https://github.com/rumca-js/Internet-Places-Database - list of domains

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'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.)

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.

For curiosity: https://airplane-ai.franzai.com/ based on Gemma

For profit: optimizing my virtual desktop in the cloud setup for AI First workshops

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.

https://github.com/kronotop/kronotop

- 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.

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.

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.

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.

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.

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/

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

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.

https://www.kickstarter.com/projects/taikohub/taiko-01-keybo...

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.

Then, I will slap an ESP32 & z-wave on it :D secretly to feed my Home Assistant. :D

The hard part is doing it without modifying WP, and serverless mariadb that can scale to zero.

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.

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.

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.

https://www.tirreno.com

[1] https://hyperclast.com/ - open, fast, self-hostable replacement for Notion

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.

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

https://typequicker.com

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://v5.filepond.com

https://ben3d.ca/blog/proof-of-possession-api-tokens

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

https://store.steampowered.com/app/4069810/VERDURE/

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.

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.

Anyway, I’m working on my manual skills of soldering.

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

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.

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.

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

[0] https://github.com/asamarts/alint

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.

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

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/

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 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

an open source technical interview platform built for modern interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions.

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.

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/

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.

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 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.

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.

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

- 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.

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)

I'm also reading Principles and Practice of Deep Representation Learning, Or: A Mathematical Theory of Memory.

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

- 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.

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 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.

- 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

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

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!

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

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.

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.

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)

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

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'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...

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

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.

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)

I also just posted a new blog post on trash valorisation: https://stefan.schueller.net/posts/kva-winterthur/

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. :-)

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

https://josh.works/traffic-bean

https://github.com/Kapperchino/agent-joe

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

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/...

It works well for me so far and I’m pretty happy with it!

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

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

https://gergltd.com/aperturelab/

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...

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!

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

https://novian.works/voice_test/