Flowti
Turn WhatsApp into a 24/7 AI-powered sales machine
What it does
Flowti transforms WhatsApp into a fully automated sales and support channel. Build AI agents that respond to messages, guide users through conversations, and process payments directly in chat. Connect your tools, automate workflows, and handle customers 24/7 without manual effort.
Automatiza WhatsApp con Flowti: crea flujos y chatbots con IA para responder más rápido, atender clientes 24/7 y aumentar ventas.
Crea flujos conversacionales inteligentes, conecta con tus clientes 24/7 y aumenta tus ventas con chatbots potenciados por IA. Herramientas potentes y fáciles de usar para transformar tu comunicación con clientes. Respuestas inteligentes y contextuales potenciadas por GPT. Entiende y responde como un humano. Programa y envía mensajes masivos, notificaciones y seguimientos sin intervención manual. Conecta con tu CRM, e-commerce, pasarelas de pago y muchas más herramientas. Métricas en tiempo real, tasas de conversión, engagement y reportes personalizados. Segmenta tu audiencia, crea etiquetas y personaliza la comunicación para cada cliente. Flujos de trabajo automatizados que responden en…from flowti.io
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.
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
the whole month →- TL
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