I recently built a prototype called GenDB, an AI-powered backend builder designed to eliminate boilerplate and streamline database deployment.
The idea came out of my own frustrations: I was spending hours writing and rewriting Python code with TortoiseORM just to build and modify basic schemas. Then I’d have to deploy it all over again for even small changes. After seeing tools like Lovable and Cursor make front-end development nearly effortless, I started to wonder: why wasn’t backend development just as fluid?
With GenDB, you can: - Prompt a schema (e.g., “Instagram clone”) via natural language or image - Edit it visually using a DBML-based ERD editor - One-click deploy to GCP or AWS - (Coming soon) Auto-generate APIs and safe migration scripts
The goal is to go from idea → schema → live backend in minutes, without writing boilerplate or fiddling with cloud infrastructure too much.
It’s still an early prototype, and I’d love your feedback, especially if you’ve run into similar pain points. What seems useful? What’s missing? Where will this fall apart?
Demo + details here: https://gendb.carrd.co/
Thanks for taking a look!