StudyPie
Turn lectures and notes into study packs, flashcards & PDFs
What it does
Turn notes, PDFs and lectures into AI study guides, flashcards and practice tests. StudyPie helps students learn faster with an AI tutor.
StudyPie is an AI PDF maker for UK students. Turn notes, PDFs and lectures into structured study guides, revision PDFs, flashcards and practice tests for GCSE, A-level and university.
Turn any lecture, textbook or scattered note into structured study studypacks, interactive flashcards and downloadable PDFs — all in one tool. Paste up to 60,000 characters — lectures, notes, textbook chunks — and a plan → expand → coverage-check pipeline turns them into a finished PDF revision guide. Two themes: formal revision guide, or colourful visual notes. 10 free generations every month. Every pack generates a paper-style deck, and every practice test is written from your own notes — adaptive difficulty, confidence scoring and feedback that quotes the exact line from your material. Ask anything — definitions, worked examples, exam-style questions. Attach a pack and every answer cites…from studypie.co.uk
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The app store for voice native apps that lives in your notch
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The New Calendly▲211Handle all of the work before, during, and after meetings
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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 · 16d ago · simedw.com