
Twinkle
An AI companion that teaches kids to think.
What it does
Twinkle is an AI companion that helps children ages 8-14 learn to think, not just to know. Your child talks with Twinkle, wonders with her, and grows up wise. Parents get honest weekly notes on how their child is growing, with no grades and no comparison to other children.
An AI companion that teaches your child to think, not just to know. An AI companion for curious kids. Your child talks with Twinkle, and grows up wise. “The bird says the bridge is safe. Should we check for ourselves first?” Any chatbot can answer a child’s question. Twinkle is interested in how your child thinks about it. That difference is the whole product, and everything we build protects it. Twinkle remembers what your child cares about, not just what they said. The moon that follows the car comes up again three days later, because it mattered to them. Some children think out loud. Some go quiet first. Twinkle learns this child’s way of thinking and meets them there, so the…from app.thinkhumanly.co
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Launched alongside, August 2026
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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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