SuperUtils
Small tools that do one Job Well
What it does
Fast, private browser utilities for images, audio, text, and everyday files.
Free online tools to compress, resize and convert images, remove photo metadata, and edit audio. No account needed. Your files stay on your device.
Make images smaller. Get the right dimensions. Bring audio together. Simple image and audio tools that work right in your browser. Reduce image size to meet an upload limit or share more easily. Get the right pixel dimensions for profiles, websites and more. Change print resolution while keeping your image pixels intact. Join clips, add crossfades and save your audio as MP3 or WAV. Remove location and other hidden details before sharing photos. Take care of the task at hand without sending your images or audio to a server. Your files are processed on your device. They are never uploaded to SuperUtils. No account, subscription or software installation. Use the tools directly in your browser.…from superutils.com
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Life & fun · 9d 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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