Resuelvox
AI WhatsApp assistant for 24/7 automated customer support.
What it does
Resuelvox is an AI-powered WhatsApp assistant designed to automate customer support 24/7. It handles repetitive FAQs, qualifies leads, and schedules appointments seamlessly, allowing your business to scale operations without increasing support costs.
Automatizá tus ventas por WhatsApp con IA. Respondé, seguí y cerrá clientes 24/7.
Resuelvox es la plataforma de inteligencia artificial (IA) para automatizar tus ventas y la atención al cliente por WhatsApp. Tu empleado digital responde consultas, muestra tu catálogo, agenda citas y hace seguimiento de clientes las 24 horas, los 7 días de la semana, usando solo la información real de tu negocio. La IA nunca inventa: si no sabe algo, deriva la consulta a una persona. Automatizá la respuesta a cada mensaje de WhatsApp al instante, con los precios, servicios y horarios reales que cargás. Resuelvox muestra tu catálogo de productos con fotos, agenda turnos automáticamente sin solapamientos y recontacta a los clientes que dejaron de responder para que no pierdas ninguna venta.…from resuelvox.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.
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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 · 16d ago · simedw.com