Reader - PDF reader
Listen to your course materials. Give your eyes a break.
What it does
Study your university course PDFs hands-free with synchronized speech, reflowable mobile reading view, client-side OCR, and zero cloud uploads. 100% private in your browser. Built by Edgar Odey.
Reader turns university PDFs, lecture notes, handouts, and past questions into a comfortable listening experience — right in your browser. Upload a PDF, let Reader turn it into readable text, and listen at your own pace while commuting, cooking, walking, or resting your eyes. Drag and drop your study material or click to browse from your device. University course materials can be long, dense, and exhausting to read on a small screen. Here is how Reader helps you turn them into something easier to consume. Turn a 40- or 50-page course handout into a listening session. Put on your earphones and keep studying while you're commuting, walking, or away from your desk. Reader extracts course…from reader.edgarodey.com
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Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

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.
Dev tools · 1d ago · opentrailpaper.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 · 16d ago · simedw.com