Calcuvexa
Calculate anything. Understand every answer.
What it does
Calcuvexa offers fast, smart calculators, converters, and trading calculators for accurate conversions and calculations — free, instant, no sign-up.
Loans, percentages, dates, BMI, and unit conversions — each on its own page, with the formula shown and instant results. Built for people first, and easy for Google to crawl. Numbers show up everywhere in daily life, and most of the time nobody wants to sit down and work them out by hand. A student checking a grade, a homeowner comparing loan payments, a nurse converting a dose from pounds to kilograms, a trader checking a pip value before placing an order — all of these are conversions and calculations that need to happen in seconds, not minutes. That's the entire reason Calcuvexa exists. It's a single home for the tools people reach for again and again: a fast calculator when you need a…from calcuvexa.com
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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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