t0md
Convert Anything to Markdown
What it does
Free PDF, Word, PowerPoint, HTML and JSON to Markdown converter. Drop a document, get clean Markdown in seconds. No sign-up. MCP server included for Claude Code, Cursor, Grok and other AI agents.
Free PDF, Word, PowerPoint, HTML and JSON to Markdown converter. Drop a document, get clean Markdown in seconds. No sign-up. MCP server included for Claude Code, Cursor and other AI agents.
████████╗ ██████╗ ███╗ ███╗ ██████╗ ╚══██╔══╝ ██╔═ ████ ╗ ████╗ ████║ ██╔══██╗ ██║ ██║ ██╔ ██║ ██╔████╔██║ ██║ ██║ ██║ ██ ██╔╝ ██║ ██║╚██╔╝██║ ██║ ██║ ██║ ╚██████╔╝ ██║ ╚═╝ ██║ ██████╔╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝ ╚═════╝ Drop any document, get clean Markdown back. t0md converts PDFs to Markdown that humans can read and AI agents can actually use. No sign-up. Files are processed in memory and never stored. Max 25 MB. Files never leave your browser session — converted in memory and discarded. Why convert PDFs to Markdown? PDFs lock content into a layout that's hard to search, hard to diff, and hard for an LLM to read. Markdown is plain text — every editor, every chat model, every static site…from t0md.com
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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.
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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…
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Launched alongside, August 2026
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Life & fun · 9d ago · louisabraham.github.io


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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 · 16d ago · simedw.com