I built a managed hosting platform for AI assistants — here's what I learned

I've been running OpenClaw (an open-source AI assistant framework) for a while now, and the biggest friction point was always deployment. Great software, terrible onboarding if you're not comfortable with servers. So I built NitroClaw -- a managed hosting platform that lets anyone deploy their own dedicated OpenClaw instance in under 2 minutes. The tech stack challenge Each user gets their own Kubernetes namespace with a dedicated deployment. We're running on DigitalOcean with custom provisioning that handles namespace creation, gateway token management, persistent storage, and health monitoring. The tricky part was making all of that invisible to the end user. What users actually see Pick an LLM (OpenAI, Anthropic, etc.) Connect their Telegram bot Start chatting Behind the scenes there's a full dashboard with server management, log viewing, file browsing, skills configuration, and a browser interface. But the goal was always: you shouldn't need to know any of that to get started. Pric