VibeFlow
ActiveLovable, n8n and a database all in one platform
About
VibeFlow generates full-stack web apps from prompts with n8n-style visual workflows for the backend. Users of tools like Lovable or v0 can easily iterate over frontends because they can see them, while backends remain closed black boxes that are hard to evolve through prompting. VibeFlow opens up backend logic, making it visual and editable, with powerful integrations built in.
VibeFlow is an AI automation platform that lets users create visual, exportable workflows with an integrated frontend and database, emphasizing ownership of code and assets. It positions itself as a Zapier alternative for operators who ship, targeting branded, automated frontends built from prompts.
Users create visual workflows that translate prompts into real frontends and database-backed apps. The platform provides a frontend, a database, and code that users own, enabling exportable workflows. It emphasizes an end-to-end automation experience with visual workflow design and branded outputs, and positions itself as a Zapier-like automation tool with emphasis on brand kits and branded assets.
Who it’s for: Operators and teams who ship: individuals or organizations seeking to automate workflows with owned code and branded frontends, presumably users who need branded outputs and end-to-end automation.
- visual workflows
- AI automation
- real frontends
- owned code
- integrated database
- brand extraction from design systems
- exportable assets
Backed by Y Combinator; mentions of pricing page and demo indicate active traction and fundraising/accelerator backing.
Founders · 2
Cofounder @ VibeFlow (S25). Prev. Software Engineer @ Esri (world's leading developer of geographic information systems (GIS) software - I led the design and development of a new visual programming tool for 3D procedural modelling, thought to make procedural creation accessible to people without coding experience). MSc in Computer Science ETHZ (#4 World).
Co-founder of VibeFlow (S25). Prev. Founding Engineer at a VC-backed startup building prompt-to-graph tools for non-technical users. Research in Clinical AI at Stanford, built high-speed perception systems at Sony AI, and accelerated AlphaFold training by 10x at InstaDeep while maintaining 95% accuracy (NeurIPS ‘22). MSc in Data Science from ETH Zürich.
Launch
We help no-coders build and reliably evolve full-stack web apps from prompts by making backend logic visual and maintainable.
Lovable launching VibeFlow, an all-in-one platform that turns prompts into full-stack web apps with visible, editable backend logic, built-in databases and integrations. It targets non-technical and technical users who want inspectable, debuggable, and maintainable backends alongside frontends, enabling build, debug, deploy, and maintain in one environment.
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