floom exists because deploying a Python script should not require a week of DevOps. Every developer has built something useful in a few hours, only to spend days wrestling with Docker, DNS, SSL, and CI/CD. Most give up. The script dies on localhost.
I'm Federico, a developer and founder based in Hamburg. I've been building software products for years, from AI tools to data pipelines. The pattern was always the same: the interesting part (the code) took hours. Making it accessible to anyone (deployment, UI, API) took weeks.
With AI writing more code than ever, this gap is only widening. ChatGPT and Cursor can generate a working Python script in minutes. But turning that script into something a colleague, client, or user can actually run? That's still a multi-day project.
floom closes that gap. You write a Python function, floom turns it into a live app with a web UI, REST API, MCP server, and a shareable URL. In under a minute.
Drop a Python script with @app.action decorators. floom containerizes it, generates a form-based UI, creates an API, and registers an MCP server. One command, four outputs.
The core is open source. Self-host it, fork it, extend it. The protocol is the distribution engine: every deploy on any instance grows the ecosystem.
Free tier for everyone. Pro tier adds always-on hosting, custom domains, monitoring, and team features. The infrastructure that individual developers should not have to manage.
Today, floom turns scripts into apps. Tomorrow, it becomes the distribution layer for everything AI agents build.
The vision: an app marketplace where AI-generated tools find users. An open protocol that any AI agent can deploy to. A world where the distance between “I wrote a script” and “anyone can use it” is exactly one command.
Code should not die on localhost.