Alessia and Elia, Computer Science and Data Science graduates from Stanford and ETH Zürich. They have spent years as full-stack engineers building no-code tools that empower non-technical users to create complex systems. Now they are using that experience to help anyone become a full-stack developer through AI.
The Problem
Prompt-to-app tools like Lovable are incredible at generating beautiful frontends, but they completely fall apart when you need real business logic, integrations, or debugging capabilities.
Here's what every developer using these tools faces:
Black box backends: you can't see or understand what the AI actually built for your server-side logic
Debugging nightmare: when something breaks, you're stuck re-prompting the LLM and hoping it magically fixes the issue
Integration hell: you're forced to manually stitch together Lovable + n8n + Supabase + other tools, creating fragile workflows that break easily and are painful to maintain
This affects thousands of developers who want to build real applications but get stuck when they move beyond simple prototypes.
Their Solution
VibeFlow transforms prompts into full-stack applications where every single component, frontend AND backend, is visible, understandable, and editable.
How it works:
Visual Backend Editor: See and edit your app's backend logic like you'd design a UI in Figma. You can edit visually or continue using prompts.
Transparent AI Generation: Unlike other tools, you can see and understand what the AI built, making debugging straightforward
Powerful Integrations: Built-in database and prewired service connections, no external tools required.
All-in-One Platform: Build, debug, deploy, and maintain everything in one cohesive environment
How They Got Here
The team saw builders doing hacky workarounds, connecting n8n and Supabase to power Lovable frontends, creating Frankenstein apps where they didn't even own half the pieces. People were desperate for backend control but stuck with fragmented solutions.
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