Show HN: Create your own finetuned AI model using Google Sheets
We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now:
- Add training examples in Google Sheets
- Click a button to train
- Deploy and test instantly
- Use OpenAI, Claude, Gemini or Llama models
We’ve used this internally for years to power AI workflows in our products (Formfacade, Formesign, Neartail), and we're now opening it up to others. Would love your feedback and happy to answer any questions!
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Try it free - https://promptrepo.com/finetune
Demo video - https://www.youtube.com/watch?v=e1CTin1bD0w
Why we built it - https://guesswork.co/support/post/fine-tuning-is-the-future-...
I’m building a UI for fine tuning (and evals, and synthetic data gen) - https://github.com/Kiln-AI/Kiln - and went the custom UI route. From chatting with folks - most people don’t have datasets, and need help building them.
The blocker for me (and likely other cost-conscious early stage groups)? I have free credit and existing integrations with more mainstream platforms (OpenAI, anthropic, together). Trying this out will cost both eng time and money, so I won't be an early adopter. I wonder if there's a way to pass the cost through / use my API keys with credits. Maybe it's more for enterprise teams or cases where you're already confident about the fine-tuning approach.
Anyway, congrats on the launch!
We have one month free trial as well. Free free to ping me if you need more time.
But I do see the value! Think sales or marketing folks looking to get a bit more hands on. These will likely be your first visitor and be okay with your 50 dollar price. Then, their IT department will say “we want to hook up our own API key for that,” to which you can confidently say “sure, we can do that too.”
N=1, just my two cents. Good luck!
My question is this: Is this fine tuning with those project documents or RAG and what's the difference?
Promptrepo is for developers and product teams to build new AI-powered features in their product. It’s about creating custom models that run behind the scenes in apps, not just improving a personal chat experience.
So while OpenAI projects use RAG for better chats, Promptrepo helps teams build and deploy fine-tuned APIs that serve structured outputs like JSON, labels, or extracted fields to build your own AI powered product.
Edit: Sorry about the snide comment. But if this ends up as a simple utility for finetuning, I would be happy with that too. Just want to share a tool that's been very useful in building ai features in our products.