Promptrepo

AI

model fine-tuning platform

SHOW HN2025

137points
41comments
#547of 3,837 in 2025
Top 15%of 2025 by points

How HN took it

CuriousMostly questions and neutral comments

4 positive, 16 neutral or asking, 2 mixed, 7 critical, out of 29 comments about the project. Thread score -0.06.

Pricing: 0 for, 3 againstIdea: 1 for, 1 againstPerformance: 0 for, 2 againstDesign: 2 for, 0 againstExecution: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Google Sheets interface is simple and accessible

    From 3 comments
    • I love integrating into spreadsheets. Super easy to use. Reminds me a bit of mailmerge. I don't have much experience with modern finetuning, but isn't it highly technical. How…
      ygreif on HN
    • This is awesome, I don't have a fine-tuning use case yet, but I can't imagine something being easier than a spreadsheet.
      ivape on HN
    • 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.…
      rallyvite on HN
  • Good UI idea for non-technical people giving model feedback

    From 1 comment
    • 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…
      rgbrgb on HN

Objections

  • Pricing feels tricky; annual plan push seen as a trap

    From 2 comments
    • 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…
      ipaddr on HN
    • When I see a product — especially an early-stage product — trying to funnel me into a yearly subscription, the signal I get is that you think I’ll quit in less than a year which,…
      jnovek on HN
  • Storing training data in Google Sheets raises privacy concerns

    From 2 comments
    • Why Google Sheet though? Why would you want your customers to give their training data to Google?!
      littlestymaar on HN
    • You are still giving your data away to Google, and it's one line of ToS change from allowing them to do it. And we know this Lind of changes happen all the time.
      littlestymaar on HN
  • Unclear who the target customer is and what the service does

    From 1 comment
    • Who is your target customer? 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…
      raylad on HN
  • Hard to prove fine-tuning beats prompting and RAG

    From 1 comment
    • 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…
      Centigonal on HN

Requests

  • Bring-your-own API key option with credits

    From 2 comments
    • 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…
      rgbrgb on HN
    • 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…
      heresjohnny on HN
  • Clearer examples and target use cases on the site

    From 1 comment
    • Who is your target customer? 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…
      raylad on HN
  • Automated evals, latency and cost comparisons across models

    From 1 comment

Questions

  • How is this different from OpenAI projects?

    From 1 comment
  • How is overfitting avoided?

    From 1 comment
    • How do you make sure the fine-tuning process stays effective without the risk of overfitting on specific data?
      sneha_tamal on HN
  • Can fine-tuned models be used outside the platform?

    From 1 comment
    • 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.
      mogili on HN

Alternatives named

  • Kiln AI, a custom UI for fine-tuning, evals and synthetic data

    From 1 comment
    • 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)…
      scosman on HN
  • OpenAI projects in ChatGPT

    From 1 comment

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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