
GemmaStat
Stop hiring analysts . Start deploying AI agents
68 followers
Stop hiring analysts . Start deploying AI agents
68 followers
GemmaStat builds AI data analyst agents that turn raw data into answers — automatically. Upload your data, ask questions in plain English, and GemmaStat handles cleaning, statistical analysis, visualizations, and reporting. No SPSS. No dashboards. No back-and-forth with analysts. We’re starting with healthcare research and hospitals, where data analysis is slow, manual, and error-prone — and expanding to other data-heavy teams next.




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Hey Product Hunt 👋
I’m Hrutik, a solo builder behind GemmaStat.
The idea came from watching doctors, PG students, and hospital researchers spend weeks stuck in Excel or SPSS just to answer one question. Not because they weren’t smart — but because the tools were never built for them.
Most data tools assume you’re an analyst.
Most people just want answers.
So I tried flipping the workflow.
With GemmaStat, you upload your data, ask a question in plain English, and an AI agent handles the boring (and fragile) parts:
cleaning messy datasets
running the right statistical tests
creating charts
explaining what the results actually mean
No SPSS. No dashboards. No back-and-forth.
We’re starting with healthcare research and hospitals, where analysis is slow, manual, and error-prone — and we’ll expand from there.
This is still early, and that’s why I’m launching here. I’m much more interested in learning than pitching.
I’d genuinely love to hear:
Where would something like this break for you?
What analysis do you avoid today because it’s too painful?
What would make you trust (or not trust) an AI agent with your data?
I’ll be around all day replying and learning from your feedback.
Thanks for taking a look 🙏
— Hrutik
AI Assistant and Bot Builder
Congratulations! Can't wait to create some graphs.
Was part of the beta version, very clean execution and very much worth it if you need a tool to simplify data 👍🏻👍🏻
Hi,
The idea itself is strong: statistical analysis without the usual tooling pain is a real pull, especially for researchers and small teams who don’t want to live in R / Python.
What stood out right away though is that the homepage stays very high-level.
“Statistical analysis made simple” sounds good, but it doesn’t yet answer the questions your ideal user will subconsciously ask in the first 5 seconds:
Who is this really for? (researchers, analysts, students, healthcare, business?)
What do I actually get after uploading my data?
Why this over existing tools + AI assistants?
Right now the promise is there, but the page doesn’t show the simplicity yet - no visuals, no concrete outcomes, no quick proof that this works in practice. That usually means people understand the idea… but hesitate to act.
I work with early-stage SaaS teams on landing pages where the goal is very simple:
make the value obvious to the right audience fast, and turn interest into sign-ups.
If you’re open to it, I could outline how I’d tighten the positioning and page structure specifically for GemmaStat, not a generic audit, but focused on conversion and clarity.
Let me know.
Paul
Hey, quick follow-up on GemmaStat.
The promise of simpler statistical analysis is strong, especially for teams without deep stats backgrounds. What’s missing is the confidence moment - “yes, this will work for my use case.”
A bit more specificity around audience + outcomes would go a long way.
If you want, I can help tighten that positioning so the right users self-select faster.
Paul