I like OpenClaw since it launched. It’s one of the most powerful ways to run a private AI assistant, but I noticed a recurring problem: unless you’re comfortable with Docker, environment variables, and cloud providers, it’s hard to get it running and keep it stable.
I built EZClaw to bridge that gap. It’s a managed hosting platform that handles the entire deployment lifecycle. You just provide your preferred frontend channel (Telegram, Discord), and EZClaw spins up a dedicated instance for you on managed infrastructure.
Technical Details:
- Infrastructure: We use Fly.io for globally distributed deployments.
- Stack: Built with Next.js 16, Clerk for auth, and Neon for the database.
- Automation: We’ve built a custom orchestration layer that provisions Docker instances and configures OpenClaw's environment on the fly.
- Management: Users get a dashboard to monitor logs and instance status.
We’re charging $49/month, which covers the underlying hosting costs and monthly LLM token costs. Our goal is to make personal AI assistants accessible to everyone.
I’d love to hear your thoughts on the managed hosting approach for open-source AI tools. Are there specific features or integrations you’d like to see next?
Hi HN,
I’m the maker of EZClaw.
I like OpenClaw since it launched. It’s one of the most powerful ways to run a private AI assistant, but I noticed a recurring problem: unless you’re comfortable with Docker, environment variables, and cloud providers, it’s hard to get it running and keep it stable.
I built EZClaw to bridge that gap. It’s a managed hosting platform that handles the entire deployment lifecycle. You just provide your preferred frontend channel (Telegram, Discord), and EZClaw spins up a dedicated instance for you on managed infrastructure.
Technical Details:
- Infrastructure: We use Fly.io for globally distributed deployments.
- Stack: Built with Next.js 16, Clerk for auth, and Neon for the database.
- Automation: We’ve built a custom orchestration layer that provisions Docker instances and configures OpenClaw's environment on the fly.
- Management: Users get a dashboard to monitor logs and instance status.
We’re charging $49/month, which covers the underlying hosting costs and monthly LLM token costs. Our goal is to make personal AI assistants accessible to everyone.
I’d love to hear your thoughts on the managed hosting approach for open-source AI tools. Are there specific features or integrations you’d like to see next?