A2M Beta Launch
List your AI project with one CLI command.
What it does
List your AI project or MCP server with one CLI command. Run `npx a2m-submit --workspace --submit` in your repo and A2M reads your README, package.json, and git remote to build your listing—zero forms, zero manual entry. Every submission gets automated link checks and secrets scanning, with a verified badge for trust scores of 80+. Search a growing registry of AI tools, agents, and MCP servers by category. Terminal-first and agent-compatible by design.
List your AI project with one command. Zero forms. Terminal-first.
Zero forms. Terminal-first. Agent-compatible. The easiest way to submit AI apps and MCP servers. Cookbook template from the awesome-llm-apps repository. Explore the full implementation of 🔍 OpenAI Research Agent and build custom LLM apps. A high-fidelity semantic Knowledge Graph constructed from raw software documentation, cheat sheets, and technical books. Fetches the plain-text summary of a Wikipedia article via the public REST API. Fetch real-time weather conditions for any latitude and longitude. A high-fidelity semantic Knowledge Graph constructed from raw software documentation, cheat sheets, and technical books. Fetches the plain-text summary of a Wikipedia article via the public…from a2m.one
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com