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"We can't afford a data analyst."
I've heard this from 3 different startups this year.
So I built one.
Metriva is an AI-powered business analyst that:
📊 Turns messy spreadsheets into executive dashboards
🧠Writes C-level business briefs automatically
📈 Forecasts trends + detects anomalies
💬 Answers questions about your data in plain English
🎯 Finds your Pareto 80/20 — who drives 80% of your revenue?
No SQL. No Python. No data team.
Just upload your file and get answers.
Built with Flask, vanilla JS, and a lot of late nights.
🔗 Try it: metriva.ai1.vercel.app
#AI #BusinessIntelligence #Founder #IndieHacker #DataScience
• 20h
For the Pareto view, I'd show the revenue denominator and customer grouping beside the answer. Does Metriva let founders inspect that calculation before it goes into an executive brief?
Absolutely — that's a great point. Metriva should make the calculation transparent, not just provide the conclusion. We're looking at showing the revenue denominator, customer grouping, and supporting calculations alongside the Pareto insight so founders can validate it before using it in an executive brief
Turning messy sheets into executive dashboards in one click cuts the data crunch time dramatically. Getting plain English answers from raw files removes the back and forth with analysts.
• 11h
The brief-writing piece is interesting — curious how you handle the validation step. AI-generated language tends to sound confident even when the underlying data is sparse or the trend is ambiguous. One pattern that helps: have the model output a confidence signal alongside the...
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