MD Convert
Free client-side Markdown converter with zero file uploads
What it does
MD Convert is a privacy-first, 100% in-browser Markdown converter. Turn DOCX, PDF, CSV, Jupyter Notebooks, or URLs into clean Markdown — or exportmd to PDF, Word & HTML in seconds without uploading your files to any server.
Free, privacy-first Markdown converter. Turn DOCX, Excel, CSV, URLs, PDFs and more into clean Markdown — entirely in your browser.
Drop a DOCX, spreadsheet, CSV, Jupyter notebook, PDF, or paste a URL — and get clean, portable Markdown in an instant. Every conversion runs 100% in your browser, with zero uploads. Processing happens 100% in your browser — nothing is uploaded. Every conversion runs in your browser in a Web Worker, using plain JavaScript. Your files are never uploaded to any server. Heavy parsing is offloaded to Web Workers so the interface never freezes — even on large spreadsheets or PDFs. Battle-tested libraries like Turndown, Mammoth and SheetJS produce clean, portable Markdown you can trust. No accounts, no paywalls, no tracking of your documents. The same engine also powers an embeddable iframe…from md-convert.org
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Open-source GTM skills for technical founders
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
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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