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,…
Create your own finetuned AI model using Google Sheets launched on April 30, 2025 with 137 votes, #316 of 7,818 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Promptrepo is a platform that simplifies AI model fine-tuning for non-technical team members. Users add training examples directly in Google Sheets, then click a button to train and deploy models using OpenAI, Claude, Gemini, or Llama. Designed for product managers and domain experts who have training data but lack ML expertise, it eliminates the technical barriers that typically prevent product teams from using fine-tuning to improve AI performance on specific tasks.
written from the facts on this page · September 2026
From the sources
Customers hate forms, but you need them to collect necessary information and avoid delays. What if AI filled the gap? We turn emails into structured data and fill Google Forms and Sheets — streamlining your workflow without frustrating your customers.
Build your own AI model. Test it with formula in Sheets and integrate it in your app using API.
In the maker’s words, at launch
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…
Does a similar job
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Prompt Engineering Studio2025 · portkey.ai · ▲501Build, test & deploy AI prompts across 1600+ models at scale
- RARelari – Auto Prompt Optimizer as Lightweight Alternative to Finetuning2024 · ▲32
Hi HN, we are the founders of Relari (https://www.relari.ai). We launched our LLM evaluation stack on HN a few months ago (https://news.ycombinator.com/item?id=39641105), which is now used in production by AI teams at companies like Vanta and PwC. We have since expanded to directly optimizing parts of an LLM pipeline using a data-driven approach. In particular, we see a lot of potential in the Auto Prompt Optimization—which could be an attractive alternative to fine-tuning in many cases—to use data to align LLMs for domain-specific tasks. Here’s a demo video:…
PromptLayer – Track, debug, and maintain GPT prompts in prod2023 · promptlayer.com · ▲29PromptLayer is the prompt management platform for AI teams. Version prompts, run LLM evals, and monitor agents in production with tracing, logs, and regression sets.
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