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.
I don't have much experience with modern finetuning, but isn't it highly technical. How many layers do you want to change? What is the learning rate? Does that need to be visible to the user? How many examples are needed in practice
But even that’s too much for most business users. Choosing input/output fields, generating and validating JSONL still feels like coding. That’s why we built PromptRepo: it turns finetuning into a guided, no-code workflow using spreadsheets.
That said, in our case, the switch away from monthly plans wasn't just about churn. We actually got shut down by GoDaddy due to phishing abuse [1], which forced us to rethink our approach. We've since added a flexible trial extension to avoid punishing genuine users, but I’m open to feedback and willing to change if enough people feel strongly.
That being said, I would not base my pricing too much on a few random comments on HN. These responses can be a good indication, but I'd frankly reach out to some of my trial sign-ups who didn't transition into a paying client as well as some of my actual customers to get their view on it. I think pricing is going to be especially tricky in the AI space since it's so new and there is so much competition.
Good luck though.
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.
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!
From reading the site, it's not clear that someone who doesn't already know about fine tuning and want to do it would know what your service does or why they would need it.
Recommendation: describe the process, and give some examples of applications.
Thanks again for the feedback and recommendation. We’ll update our site with clearer examples and target use cases!
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.