Rackast
Free screen recorder and editor for Windows
What it does
Rackast records your screen, camera, mic and system audio, then lets you polish the result without leaving the app. Add cinematic zoom, restyle the cursor, blur sensitive parts and generate captions with Whisper running locally on your own machine, so nothing gets uploaded. Free to use with a watermark on export. Windows only, signed with Azure Trusted Signing.
Windows screen recorder and editor with automatic zoom, smooth cursor and local AI captions. Beautiful demos and tutorials in minutes.
Automatic zoom, smooth cursor and local AI captions on every recording. No editing skills needed. Rackast follows your clicks and zooms in on what matters. Small screens still look sharp. Rackast follows your clicks and zooms in on what matters. Small screens still look sharp. Shaky mouse movement becomes a smooth glide with a soft click ripple every user recognises. Record your webcam as a floating bubble with microphone and system audio, all balanced. Transcribed on your machine with Whisper. Editable per line, private by default. Frame-accurate offline rendering. Ship anywhere without a second pass in another editor. 720p, 1080p, 1440p or 4K. Auto-drops to 60 fps at 4K to keep files…from rackast.com
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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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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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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…
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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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