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Launch your own OpenClaw in 1 minute with 1 click
What it does
Managed cloud hosting for OpenClaw AI agents. Run your autonomous AI 24/7 — no hussle, no server management. Supports Claude, GPT-5, Gemini, Kimi K2.5, and any OpenAI-compatible model. Comes with Kimi K2.5 already included inside for free.
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- IBI built managed OpenClaw hosting with 60s provisioning in 6 daysFeb 2026 · clawhosters.com · ▲9
Hey HN, I'm Daniel, solo dev from Germany. I built ClawHosters (https://clawhosters.com), a managed hosting platform for OpenClaw, the open-source AI agent framework. Quick timeline: domain registered February 5th. First paying customer six days later. I probably should have spent more time on it, but it works. If you haven't seen OpenClaw, it lets you run a personal AI assistant that connects to Telegram, Discord, Slack, and WhatsApp. Self-hosting it is absolutely possible, but it's a pain. You're dealing with Docker setup, SSL certs, port forwarding, security hardening, keeping…
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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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
