Cosminds
Organize what you learn by idea, not by source
What it does
Everything you learn stays trapped in the source it came from, so you forget it. Cosminds organizes what you read and watch by idea, not by source: books, PDFs, YouTube, articles and notes become one library. It pulls out the claims, drills you until you can write them back from memory, and its AI Wiki answers only from what you put in, with citations, never from the web. Runs on Claude inside the EU. Never sold, never used to train anything. Free to start, no card.
Turn every book, video, article, and note into ideas you keep. Cosminds organizes what you learn by concept, not by source.
Cosminds turns every book highlight, video, article, and note into the same unit and organizes it by concept, so you actually retain and use what you learn. Works with book highlights, PDFs, EPUBs, YouTube, web articles, and your ownfrom cosminds.com
Does the same job
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- LOLearnawesome.org – Open-source learning map for humanity2020 · ▲216
Hello HN, Over the last 12 months, I have been building https://learnawesome.org This idea came from Danny Hillis' 2012 talk at OSCON, which itself was inspired from Neal Stepehenson's _The Diamond Age : A Young Lady's Illustrated Primer_ The dream is to build a tool that matches the right learning material to the right student at the right time. Wikipedia is great, but it doesn't do a good job of leveraging the rich variety of learning resources that exist on the Web. Same applies to GoodReads - which is focused only on books, whereas these days we actually learn from videos,…




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Life & fun · 10d 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.
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