Show HN: Local LLM on a Pi 4 controlling hardware via tool calling https://bit.ly/4cn6vHx

Show HN: Local LLM on a Pi 4 controlling hardware via tool calling https://bit.ly/3NYmxPZ April 13, 2026 at 12:14AM

Show HN: Stork – MCP server so Claude/Cursor can search 14k MCP servers AI tools https://bit.ly/4tqefjn

Show HN: Stork – MCP server so Claude/Cursor can search 14k MCP servers AI tools https://bit.ly/48KFXPd April 12, 2026 at 08:49PM

Show HN: Toy Python Lisp interpreters based on the 1960 McCarthy paper https://bit.ly/4dCFhPj

Show HN: Toy Python Lisp interpreters based on the 1960 McCarthy paper I wrote this set of Python files to try to help programmers understand the original LISP paper, assuming zero mathematical or Lisp knowledge. The original paper is a mind-blowing piece of computer science history for many reasons - I'd recommend anyone to try and get their head around it. I found plenty of fantastic LISP implementations which stay close to the original paper. But they are all fully-functional, practical implementations. The original paper builds from deeper fundamentals which it would be possible to write code in, albeit very impractical. I implemented these earlier iterations, so programmers can follow the paper step-by-step in a more familiar language than 50s mathematical notation. I am no expert in Lisp or mathematics, and intentionally went into this with no knowledge of Lisp beyond the original paper. I did not write it in the most elegant way, but in the simplest way for me to understand. So please don't take this code as a definitive statement on the language. However, this code really helped me to understand the original paper better, and to begin using Lisp with a better grasp of the spirit of the language. I'd welcome any thoughts from those who have more experience with Lisp or comp sci history. https://bit.ly/4dCFj9T April 12, 2026 at 11:01AM

Show HN: Bullseye2D – A Dart library for cross-platform 2D games https://bit.ly/4tHZp7t

Show HN: Bullseye2D – A Dart library for cross-platform 2D games I posted this here about a year ago, but I just pushed a 2.0 release, so I hope you don't mind a second look :) Bullseye2D is a 2D game library for Dart with a very simple API. The new version now supports multi-platform. It compiles to the web via a WebGL2 renderer, or natively to Windows, macOS and Linux through an SDL3 backend (which itself supports Vulkan, DirectX, Metal, and OpenGL renderers). It doesn't depend on Flutter and has very few dependencies (except SDL3). It mostly provides a minimal foundation that you can build your own abstractions on top of. This was also my first time leaning more heavily on AI (Opus) for a large refactor. I tried to review and test everything as good as I could, but honestly for the restructuring parts where I had the AI produce rather big chunks of code, I found reviewing and testing quite exhausting, and I still have a slightly queasy feeling about it. So this is also quite an experiment for me how good I'm able to utilise AI :) https://bit.ly/4tBTHnn https://bit.ly/4ciUyCn April 12, 2026 at 09:39AM

Show HN: macpak (Homebrew Wrapper for macOS) https://bit.ly/4cfhLFG

Show HN: macpak (Homebrew Wrapper for macOS) https://bit.ly/47VUpUk April 12, 2026 at 08:30AM

Show HN: Minimalist template for scientific and academic resumes https://bit.ly/422X4be

Show HN: Minimalist template for scientific and academic resumes https://bit.ly/4sxLSyr April 12, 2026 at 04:46AM

Show HN: HyperFlow – A self-improving agent framework built on LangGraph https://bit.ly/4vhTPdr

Show HN: HyperFlow – A self-improving agent framework built on LangGraph Hi HN, I am Umer. I recently built an experimental framework called HyperFlow to explore the idea of self-improving AI agents. Usually, when an agent fails a task, we developers step in to manually tweak the prompt or adjust the code logic. I wanted to see if an agent could automate its own improvement loop. Built on LangChain and LangGraph, HyperFlow uses two agents: - A TaskAgent that solves the domain problem. - A MetaAgent that acts as the improver. The MetaAgent looks at the TaskAgent's evaluation logs, rewrites the underlying Python code, tools, and prompt files, and then tests the new version in an isolated sandbox (like Docker). Over several generations, it saves the versions that achieve the highest scores to an archive. It is highly experimental right now, but the architecture is heavily inspired by the recent HyperAgents paper (Meta Research, 2026). I would love to hear your feedback on the architecture, your thoughts on self-referential agents, or answer any questions you might have! Documentation: https://bit.ly/4mll1Eh GitHub: https://bit.ly/3PY51vP April 11, 2026 at 05:01AM

Show HN: Sash – tiny macOS utility to reliably cycle through app windows https://bit.ly/4cicPjc

Show HN: Sash – tiny macOS utility to reliably cycle through app windows macOS's built-in cycle window shortcut (⌘` / ⌘@) has always been flaky for me. Probably not a Show HN, but if it annoyed me this much it might be annoying some others. Only tested on the latest macOS — would appreciate any reports from other versions. https://bit.ly/4eddVPU April 11, 2026 at 12:02AM

Show HN: Unlegacy – document everything, from COBOL to AI generated code https://bit.ly/47RGizj

Show HN: Unlegacy – document everything, from COBOL to AI generated code https://bit.ly/4vskSD6 April 10, 2026 at 05:55PM

Show HN: Run GUIs as Scripts https://bit.ly/48G4WTN

Show HN: SmolVM – open-source sandbox for coding and computer-use agents https://bit.ly/4tD1tNQ

Show HN: SmolVM – open-source sandbox for coding and computer-use agents SmolVM is an open-source local sandbox for AI agents on macOS and Linux. I started building it because agent workflows need more than isolated code execution. They need a reusable environment: write files in one step, come back later, snapshot state, pause/resume, and increasingly interact with browsers or full desktop environments. Right now SmolVM is a Python SDK and CLI focused on local developer experience. Current features include: - local sandbox environments - macOS and Linux support - snapshotting - pause/resume - persistent environments across turns Install: ``` curl -sSL https://bit.ly/4edpkzh | bash smolvm ``` I’d love feedback from people building coding agents or computer-use agents. Interested in what feels missing, what feels clunky, and what you’d expect from a sandbox like this. https://bit.ly/4ckmAxC April 10, 2026 at 01:01AM

Show HN: Rust based eBook library for Python, with MIT license https://bit.ly/4mo24AT

Show HN: Rust based eBook library for Python, with MIT license https://bit.ly/4czpdg6 April 9, 2026 at 11:03PM

Show HN: I built Dirac, Hash Anchored AST native coding agent, costs -64.8 pct https://bit.ly/4cuJeo9

Show HN: I built Dirac, Hash Anchored AST native coding agent, costs -64.8 pct Fully open source, a hard fork of cline. Full evals on the github page that compares 7 agents (Cline, Kilo, Ohmypi, Opencode, Pimono, Roo, Dirac) on 8 medium complexity tasks. Each task, each diff and correctness + cost info on the github Dirac is 64.8% cheaper than the average of the other 6. https://bit.ly/4t0sefg April 9, 2026 at 01:06PM

Show HN: Homebutler – I manage my homelab from chat. AI never gets raw shell https://bit.ly/4c9xtlK

Show HN: Homebutler – I manage my homelab from chat. AI never gets raw shell https://bit.ly/4c5Wvlz April 9, 2026 at 01:09PM

Show HN: CSS Studio. Design by hand, code by agent https://bit.ly/48qpGPl

Show HN: CSS Studio. Design by hand, code by agent Hi HN! I've just released CSS Studio, a design tool that lives on your site, runs on your browser, sends updates to your existing AI agent, which edits any codebase. You can actually play around with the latest version directly on the site. Technically, the way this works is you view your site in dev mode and start editing it. In your agent, you can run /studio which then polls (or uses Claude Channels) an MCP server. Changes are streamed as JSON via the MCP, along with some viewport and URL information, and the skill has some instructions on how best to implement them. It contains a lot of the tools you'd expect from a visual editing tool, like text editing, styles and an animation timeline editor. https://bit.ly/4t4hwoe April 9, 2026 at 12:23PM

Show HN: Moon simulator game, ray-casting https://bit.ly/41UVw2W

Show HN: Moon simulator game, ray-casting Did this a few years ago. Seems apropos. Sources and more here: https://bit.ly/3Kb9MJJ https://bit.ly/421jFVz April 6, 2026 at 06:09PM

Show HN: A (marginally) useful x86-64 ELF executable in 301 bytes https://bit.ly/4t2iFww

Show HN: A (marginally) useful x86-64 ELF executable in 301 bytes https://bit.ly/4aziUph April 6, 2026 at 09:14PM

Show HN: LadderRank: Rank anything with ELO ratings https://bit.ly/4c0ocxC

Show HN: LadderRank: Rank anything with ELO ratings I built a pairwise ranking platform on Cloudflare Workers. You get two items, pick the better one, and ELO ratings sort out the rest. No more tier list arguments. Let the votes decide. I seeded it with a "Best Programming Language" ladder to settle the debate once and for all: https://bit.ly/3NVnRDb The stack: Hono + D1 + R2 on Cloudflare Workers, React frontend on Pages, Drizzle ORM. Anyone can create their own ladder and share it. Anonymous voting works too (at reduced weight). Curious to see what HN thinks is the best language, and whether the ELO rankings match your priors. https://bit.ly/4mjzuk0 April 9, 2026 at 01:47AM

Show HN: Android SSH client with full Terminal, server monitoring and runbooks https://bit.ly/4e9xI2E

Show HN: Android SSH client with full Terminal, server monitoring and runbooks https://bit.ly/3O5Mc9q April 8, 2026 at 11:44AM

Show HN: We built a camera only robot vacuum for less than 300$ (Well almost) https://bit.ly/4cc3ZDP

Show HN: We built a camera only robot vacuum for less than 300$ (Well almost) https://bit.ly/4mhTjId April 6, 2026 at 06:08AM