Evoriqa
One AI agent for web chat, email, WhatsApp and voice
What it does
Paste a URL and Evoriqa builds a support agent from your site in a minute. It answers on web chat, email, WhatsApp and SMS from one knowledge base, captures leads with contact details, and flags what it couldn't answer. Free plan, no card, no trial clock.
White-label AI customer-support agents trained on your knowledge base. Answer instantly, capture leads, book appointments and hand off to humans on any channel.
Evoriqa is live. Tour the reseller console , or read our security page . It learns your website, docs and FAQs, then answers on chat, WhatsApp, Instagram, SMS and the phone, booking appointments and capturing leads while you get on with your day. Paste your website — no signup, no card. It answers from your own pages. The platform is the same. The commercial model, the console and the conversation we'll have with you are not. Every way in, one inbox to answer from. The knowledge, the personality and the approved actions stay the same whichever channel a customer picks. The same agent that answers your chat picks up your inbound line, and every call lands in the inbox above as a transcript.…from evoriqa.com
Does the same job
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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…
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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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