ZynAssist: AI Assistant for Your Website
Let your website answer visitors 24/7
What it does
ZynAssist is an AI website chat assistant that automatically learns from your existing website content. Enter your URL, let ZynAssist build its knowledge base, then add the provided code to your website. It answers visitor questions, supports multiple languages, keeps information up to date, and helps businesses understand what their visitors are looking for through conversation insights.
ZynAssist is an AI chat widget that learns your website and answers visitor questions instantly. No code required — install in minutes and try it free.
ZynAssist adds an AI assistant to your website that answers visitor questions automatically, using your own content — so you don't have to. Visitors leave without answers. If they can't find what they need quickly, they move on — and they rarely come back. You answer the same questions daily. Pricing, services, hours, availability — the same enquiries, over and over, taking up your time. Your website works hard. Your inbox harder. The information is already on your site — visitors just need someone to surface it instantly. ZynAssist reads your entire website and builds a knowledge base from your content — automatically. No Q&A to write. No training. No maintenance. It just works. Set it up…from zynassist.com
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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.
AI · 17d ago · simedw.com
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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


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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.
AI · 17d ago · simedw.com