Deezy
AI customer support that actually knows your business.
What it does
Deezy is an AI-powered website assistant that learns about your business and answers your visitors using your own information. Add your business knowledge, customize your assistant, and embed it on your website in minutes. No complex chatbot flows. No need to answer the same questions over and over.
Transformez votre site en assistant IA : il répond à vos visiteurs 24 h/24, récupère leurs coordonnées quand il n'a pas la réponse, et vous montre ce qui manque à votre site. 100 messages offerts pour essayer.
Deezy transforme votre site et vos documents en un assistant qui répond à vos visiteurs 24 h/24 et récupère leur adresse quand il n'a pas la réponse. Oui. Nous livrons tous les samedis, pour toute commande passée avant 18 h. Vos pages et vos documents, jamais des généralités trouvées ailleurs. Aucun prix ni délai improvisé. Le doute vaut mieux qu’une erreur. Ce que vous lui apprenez ne sert jamais à répondre pour une autre entreprise. Votre site contient déjà les réponses. Vos visiteurs, eux, ne les trouvent pas et personne ne vous prévient quand ils s'en vont. Une question sans réponse, et l'onglet se ferme. Vous ne saurez jamais qu'ils étaient là. Ils remplissent votre formulaire, puis…from deezy.chat
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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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Life & fun · 10d ago · louisabraham.github.io


- SA
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.
AI · 17d ago · simedw.com