ValFlow
AI automation & Telegram bots for businesses - turnkey
What it does
ValFlow builds AI agents, Telegram bots and automation systems for businesses end to end. We take the task from idea to working product - bots, outreach systems, CRM, trading bots, video generation. Tell us your task, we propose a solution and build it.
Telegram bot development, AI agents, web panels and CRM integration. Turnkey business automation — from idea to support. Describe your task, we propose a solution.
Platform for mass personalized Telegram DMs with AI-generated text, analytics, and multi-account support. Product information management: one catalog, roles, change history and 7 export convectors. Custom web dashboards, CRM systems, and admin panels turnkey. Fullstack development from scratch tailored to the client's business processes. Full automation of business processes via AI agents. We connect services, build pipelines, and eliminate manual work. Websites, landing pages, Telegram games, quizzes, calculators, marketing funnels — we take any non-standard project and find a solution. Vibe-coding school: landing page, course program, student sign-up and a personal dashboard on Next.js.…from valflow.dev
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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
- 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