FineTune Studio
The Supabase for custom AI models
Hey everyone! š Iām launching FineTune Studio today.
As developers, we all know the drill by now: a client or your own startup needs an AI feature that actually knows your business data.
You think, "Oh, I'll just use the OpenAI API."
Then you realize you need to:
Parse PDFs, CSVs, and unstructured text
Set up and manage a vector database (Pinecone, Chroma, etc.)
Build the RAG retrieval logic and chunking strategies
Build API gateways, rate limiting, and analytics
Spend the next 3 months maintaining infrastructure before you ship a single feature to users.
I was wasting so much engineering time on this infrastructure layer that I decided to build a platform that handles all of it out of the box.
What is FineTune Studio? It's a complete, scalable AI infrastructure platform. You upload your data (PDFs/TXTs/CSVs), adjust a few sliders for personality and tone, and you instantly get a production-ready, OpenAI-compatible API endpoint.
Core Features we built:
Visual RAG Editor: No more guessing what the AI is retrieving. You can visually explore the knowledge graph we build from your docs.
Zero Infrastructure Overhead: We handle the vector DBs, the chunking, and the hosting.
Developer-First: Full API access with rate-limiting, analytics, and user isolation built in from day one.
If you are building an AI SaaS or adding AI to an existing product, I'd love for you to try it out. We have a generous free tier (10k API calls/mo) so you can validate your idea before ever paying a dime.
I'm currently at 3 active users and bootstrapping this 100%. I'd appreciate any harsh feedback, questions about the tech stack, or thoughts on the visual RAG approach!
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