Execut.
Never forget what you learned solving a coding problem
What it does
Execut is an online judge that treats your coding practice like a curriculum instead of a one and done grind. It uses FSRS, the same spaced repetition algorithm behind Anki, to bring problems back for review right before you'd naturally forget them. It also includes a dependency based roadmap that guides you through topics in order, a live 1v1 battle mode to solve problems head to head against another dev, and rooms where you can practice alongside friends.
Does the same job
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- FAFuturecoder – A free interactive Python course for coding beginners2023 · futurecoder.io · ▲371
Some highlights: - 100% free and open source (https://github.com/alexmojaki/futurecoder), no ads or paid content. - No account required at any point. You can start instantly. (You can create an account if you want to save your progress online and across devices. Your email is only used for password resets) - 3 integrated debuggers can be started with one click to show what your code is doing in different ways. - Enhanced tracebacks make errors easy to understand. - Useful for anyone: You can have the above without having to look at the course. IDE mode…
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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