[HN Gopher] Show HN: Create your own finetuned AI model using Go...
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Show HN: Create your own finetuned AI model using Google Sheets
Hello HN, 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!
--- 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-...
Author : QueensGambit
Score : 66 points
Date : 2025-04-30 15:53 UTC (7 hours ago)
(HTM) web link (promptrepo.com)
(TXT) w3m dump (promptrepo.com)
| nbbaier wrote:
| Heads up I get "ERR_CONNECTION_RESET" when navigating to
| https://promptrepo.com/finetune
| manidoraisamy wrote:
| Thanks for the heads up. Looks like a traffic spike from HN.
| Can you please check now?
| nbbaier wrote:
| Still down for me but I bet it's the traffic spike still.
| I'll check back in later!
| rgbrgb wrote:
| Incredibly crowded space, but this is a great insight and UI...
| engineers probably have to integrate the model but we should
| empower non-technical customer-facing people to give feedback to
| the model in a way that improves it.
|
| 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!
| manidoraisamy wrote:
| Thanks! Yes, that's a popular request from other developers as
| well. That's why our basic plan is self managed plan (Bring
| your own OpenAI account) -
| https://promptrepo.com/finetune/pricing.html
|
| We have one month free trial as well. Free free to ping me if
| you need more time.
| Centigonal wrote:
| Your biggest obstacle is proving fine-tuning is more effective
| than prompting, workflow design, RAG, etc during the initial
| pass. Most of my customers are still getting big improvements by
| picking the low-hanging fruit with those approaches. A much
| smaller fraction is at a place where they're ready to start fine-
| tuning. Obviously, this will change as AI programs mature.
| manidoraisamy wrote:
| Exactly! Finetuning needs at least 10 examples to even work.
| That's why Promptrepo begins with prompting and schema-based
| generation when teams have little or no data. As they gather
| more examples, it gradually shifts to fine-tuning. It's the
| classic cold start problem and we've simplified it for product
| teams who want to launch quickly but improve accuracy over
| time.
| polskibus wrote:
| Can you share an example of such real world win where fine
| tuning was less effective ? I'm curious about sample business
| cases.
| justanotheratom wrote:
| FineTuning Ops platform requirement - compare evals, latency,
| cost across models.
| manidoraisamy wrote:
| We don't have automated evals, latency, or cost comparisons
| yet. But, Promptrepo does offer versioning and lets you deploy
| the same model across providers for comparison. Automating
| these comparisons is definitely on our roadmap.
| ivape wrote:
| This is awesome, I don't have a fine-tuning use case yet, but I
| can't imagine something being easier than a spreadsheet.
| rallyvite wrote:
| Agree, not super familiar with this space but that you are
| using GS as the UI makes this super accessible to so many more
| people given familiarity and low intimidation factor. Best of
| luck.
| mogili wrote:
| Essentially this is a frontend to automate the process of
| converting a csv file into jsonl and pass through a fine-tuning
| service.
| manidoraisamy wrote:
| Yeah, just like Dropbox was a passthrough for aws s3.
|
| 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.
| ivape wrote:
| That's the biggest problem with showcasing to developers.
| They are just not representative of the user base at large.
| For example, any Desktop application showcased will getting
| annihilated for being Electron. You very much take a risk
| putting it out to developers first because they will leave
| commentary about your product in this way (forever, this is
| the internet, it's not going anywhere). We eat out our own
| basically.
| mogili wrote:
| I am not saying there isn't value for this, just saying
| what it does. I might actually use this if they don't tie
| the fine tuned models to only be used within their
| platform.
| labrador wrote:
| How is this different than OpenAI projects?
| manidoraisamy wrote:
| Can you please clarify what you mean by "OpenAI projects"? Are
| you referring to the playground or the API for prompting or
| fine-tuning?
| labrador wrote:
| In OpenAI Pro ($20/mo) one can start a project with a set of
| files. Various chats can be had about this project topic with
| the files providing additional information. I've discovered
| the projects are isolated. They'll use memory configurable in
| settings but they don't use chat history outside the project.
| This can give ChatGPT chats in projects a different tone.
|
| My question is this: Is this fine tuning with those project
| documents or RAG and what's the difference?
| manidoraisamy wrote:
| Thanks for the clarification. OpenAI projects in ChatGPT
| are meant for end users to get personalized help using
| their own documents, inside the ChatGPT UI.
|
| 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.
| heresjohnny wrote:
| Neat! Wonder though if you should be even offering the BYO option
| as a separate lite package. As a dev I would not buy this and as
| a non-tech person I would be confused by your pricing page.
|
| 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!
| scosman wrote:
| What's the thinking of spreadsheet first? Just making it super
| accessible for people who already have data?
|
| 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.
| manidoraisamy wrote:
| It depends on the use case. For many business workflows, where
| structured data is key - spreadsheets are already the source of
| truth. But for chat-based or unstructured tasks, a custom UI
| might make more sense.
| ipaddr wrote:
| I don't like the pricing. $38 a month headline much smaller
| billed annually with the price more than doubling. This is the
| trick your customers strategy and hope for no chargebacks.
| QueensGambit wrote:
| I understand your concern. We've had cases where short-term
| users abused our product for phishing, which led us to remove
| the monthly plan initially. To address that without locking out
| genuine users, we've added an option to extend the trial for up
| to 3 months before choosing a monthly or yearly plan. Feel free
| to message me if you'd like more time.
| littlestymaar wrote:
| Why Google Sheet though? Why would you want your customers to
| give their training data to Google?!
| QueensGambit wrote:
| Don't want to sound like a shill, but Google doesn't use data
| from your Google Sheets to train its models or for advertising.
| By default, your data stays private and is protected under
| Google Workspace's privacy policies.
| gitroom wrote:
| honestly i like seeing tools get simpler like this, makes me
| wonder though how much of the real value comes from the tech
| itself vs just making everything less scary for folks who aren't
| engineers. you think easy interfaces actually help people get
| better results or just get more folks trying stuff?
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(page generated 2025-04-30 23:00 UTC)