Does anyone else hesitate to iterate on AI builders because you're watching your credits drain?
You have a typo. You want to try a different approach. But you pause because that's another generation gone. You end up spending more time optimizing prompts to save money than actually building.
I felt this too. So I built GenVibe differently.
The Problem I'm Solving
Most AI builders have tiny free tiers that run out before you finish even a simple app, or expensive paid plans that make experimentation costly.
This creates "prompt anxiety" - you're afraid to experiment, refactor, or iterate freely.
How GenVibe Works
I built smart infrastructure optimizations that reduce backend costs without compromising output:
- Smart context management and caching
- Efficient token usage through preprocessing
- Optimized prompt engineering pipeline
This cuts operational costs by ~70%. I pass these savings to users as a generous free tier.
What You Get
Free tier: 5 full-stack generations per day
Frameworks supported:
- React, Vue, Angular, Svelte
- Next.js, Remix, SvelteKit
- React Native, Expo (for mobile)
- And other major frameworks
Full-stack generation:
- Frontend in your chosen framework
- Supabase backend with auth
- Database schemas with RLS policies
- Production-ready code you can export
Input methods:
- Text prompts (describe your app)
- Figma designs (converts to code)
- Screenshots (recreates any UI)
The difference: You can actually finish a project on the free tier. Iterate without fear.
Current Status
GenVibe is in beta. Built it solo over the past few months as a full-stack developer (12 years experience).
It's rough around the edges, but functional. Code quality is good for prototypes, needs cleanup for production (working on this).
Why I Built This
I got frustrated with existing AI builders:
- Too expensive for experimentation
- Tiny free tiers that tease but don't deliver
- Platform lock-in (can't export clean code)
I wanted something I'd actually use myself - generous limits, no lock-in, iterate freely.
Try It
If you try it, I'd love honest feedback:
- What works?
- What breaks?
- What features would make this actually useful for your workflow?
Note: This is not a VC-backed startup. I'm optimizing infrastructure costs to keep this sustainable at scale. If usage patterns make this unsustainable, I'll adjust (transparently). Please be reasonable. 🙏
Building in public. Following along if interested.
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