ClipCast
Listen. Capture. Learn
What it does
Never lose a great podcast insight again. ClipCast lets you capture key moments from long-form audio, then uses AI to turn them into clear summaries, takeaways, and searchable clips — helping you revisit, learn from, and share the ideas that matter.
ClipCast is a podcast learning app that lets you capture, organise and revisit valuable moments from your favourite podcasts.
ClipCast is a podcast player built for learning. Capture the moments that matter and turn them into clear insights and key takeaways you can revisit anytime. ClipCast helps you capture the ideas that matter while you listen—so you can find, understand and use them later. Find your favourite podcasts and listen directly inside ClipCast. When something matters, tap the clip button—or use supported earphone or Lock Screen controls—to capture the previous 45 seconds. ClipCast creates a transcript, insight and key takeaways that you can revisit, search, organise into collections and share. Most podcast players help you listen. ClipCast helps you keep what you learn—turning valuable moments into…from getclipcast.com
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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