Fring
AI-powered digital wardrobe: catalog, style, track
What it does
Fring is a digital wardrobe you can actually use from a computer. Photograph your clothes, let AI fill in category, color and material, then build outfits and track what you really wear. Free, unlimited, nothing to install.
Cataloguez vos vêtements par photo, composez vos tenues et suivez ce que vous portez vraiment. Sans limite de pièces, sans abonnement, sans installation.
Fring catalogue votre garde-robe grâce à la reconnaissance IA, compose vos tenues et suit ce que vous portez vraiment — depuis un ordinateur ou un téléphone, sans rien installer. Tout est gratuit pendant la beta : pas d'abonnement, pas de limite de pièces, aucune carte bancaire à renseigner. Cataloguer cent vêtements au pouce sur un téléphone est un supplice. Fring est une application web : vous remplissez votre garde-robe au clavier sur grand écran, vous la consultez sur mobile. Rien à installer. Pas « gratuit, mais » : toutes les fonctionnalités sont ouvertes, sans plafond sur le nombre de pièces et sans version premium. Il n'existe aujourd'hui aucun moyen de payer quoi que ce soit dans…from fring.sevan.zone
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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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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…
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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