SchemaChat is your AI data analyst. Give it a question or a goal — like "find out why sales dropped last month" — and it does the digging for you: checks your data step by step, shows its work, and comes back with a clear answer. It never makes numbers up. If your data can't answer something, it tells you what's missing instead of guessing. And it can only read your data, never change it. Works with your database or a simple spreadsheet upload. Free to try, no credit card.
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Maker
📌
Hey Product Hunt 👋
I'm Azman. I've spent the last 10 years in business intelligence, building reporting and analytics frameworks for companies like Johnson & Johnson and Insomnia Cookies.
After a decade of it, one pattern never went away. The person with the question is almost never the person who can write the query. A VP wants to know "which product drove the most repeat orders last quarter," and the answer is stuck behind SQL, a BI license, or a long wait on an overloaded data team. I built dashboard after dashboard, and there was always one more question they didn't cover.
So I decided to launch SchemaChat. I wanted to take everything I learned doing this the hard way and hand it to anyone, no SQL required. AI models finally make that possible. It's less hectic, and honestly more accurate than the rushed manual queries I used to write at 11pm.
You connect your database (PostgreSQL, MySQL, BigQuery, Snowflake, MongoDB, or a CSV), ask in plain English, and it writes the SQL, runs it, and gives you the answer with a chart in seconds. Here's the part I care about most. It doesn't just hand you a query and walk away. It reads the actual results back and explains what they mean, the trend, the outlier, the reason behind the number, the way a good analyst would. It's like having a BI team that lives inside your database.
And because I've handled enough production data to be paranoid, every connection can only read your data, never change it, and your credentials are encrypted with AES-256.
It's free to start, and PH folks get 3 months of Pro completely free with code PHLAUNCH.
I'd love your honest feedback. What's the first question you'd ask your data if it could just answer? I'm here all day. 🙏
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Maker
Update from the maker 👋
Hey everyone — Azman here.
It's been a while since launch and SchemaChat has grown into something bigger than what I originally posted, so I wanted to come back and say what's changed.
When I launched this, the pitch was "ask your database in plain English." That's still in there — but it's not really how analysts work, and I knew it, because I was one for ten years. Nobody ever asked me one question. They gave me a goal. "Find out why margin dropped."
So that's what SchemaChat does now. You hand it a goal, it plans the investigation, runs each step as a real query against your live data, and comes back with what it found. You can watch it think and redirect it halfway through — the same way you'd lean over an analyst's desk.
The part I care about most is what it won't do. Every number links to the query that produced it — no query ran, no number ships. If your data can't answer the question, it tells you which column is missing instead of guessing. That rule lives in code, not in a prompt, because after a decade of watching wrong numbers land in board decks, "confidently wrong" scares me more than "no answer."
Since launch we've also put the product through two independent QA testers who ran it through 150+ checks across four rounds — and we fixed essentially everything they found. The answers that ship today are the most trustworthy this product has ever been.
Also new: put any finding on watch and it re-runs on a schedule, alerting you when a number crosses a line. Auto-dashboards now compute real metrics (actual revenue, not proxies) straight from your source.
Still read-only by construction, still AES-256 on credentials, still free to start — and the PHLAUNCH code (3 months of Pro free) still works.
If you tried it at launch and bounced, this is a genuinely different product now. What's the goal you'd hand your data if it could just go work on it? 🙏
Update from the maker 👋
Hey everyone — Azman here.
It's been a while since launch and SchemaChat has grown into something bigger than what I originally posted, so I wanted to come back and say what's changed.
When I launched this, the pitch was "ask your database in plain English." That's still in there — but it's not really how analysts work, and I knew it, because I was one for ten years. Nobody ever asked me one question. They gave me a goal. "Find out why margin dropped."
So that's what SchemaChat does now. You hand it a goal, it plans the investigation, runs each step as a real query against your live data, and comes back with what it found. You can watch it think and redirect it halfway through — the same way you'd lean over an analyst's desk.
The part I care about most is what it won't do. Every number links to the query that produced it — no query ran, no number ships. If your data can't answer the question, it tells you which column is missing instead of guessing. That rule lives in code, not in a prompt, because after a decade of watching wrong numbers land in board decks, "confidently wrong" scares me more than "no answer."
Since launch we've also put the product through two independent QA testers who ran it through 150+ checks across four rounds — and we fixed essentially everything they found. The answers that ship today are the most trustworthy this product has ever been.
Also new: put any finding on watch and it re-runs on a schedule, alerting you when a number crosses a line. Auto-dashboards now compute real metrics (actual revenue, not proxies) straight from your source.
Still read-only by construction, still AES-256 on credentials, still free to start — and the PHLAUNCH code (3 months of Pro free) still works.
If you tried it at launch and bounced, this is a genuinely different product now. What's the goal you'd hand your data if it could just go work on it? 🙏