DataBlips
Your personal AI data analyst
For months, every question about my own data turned into a chore.
"Why did revenue drop last month?" meant opening my editor, writing the SQL, pulling it into Python, and maybe building a dashboard I'd never look at again. The answer was sitting in the database the whole time. Getting to it was the hard part.
So, I built DataBlips.
It's an AI data analyst you can talk to in plain English. You connect a live database (PostgreSQL, MySQL, SQL Server, Snowflake) or drop in a CSV, Excel, or SQLite file, and just ask:
"What needs my attention this week?"
"Why did revenue drop last month?"
"Which products are performing best?"
DataBlips works out the SQL and Python it needs, runs it, and hands back a clear answer, the query behind it, charts, and the insight that actually matters. When it isn't sure, it tells you instead of handing you a confident-looking wrong answer.
As a builder, security was my top priority. Your data needs to stay yours:
🔒 Read-Only: It connects through a read-only user with SELECT-only permissions. It can't write, drop, or change anything.
🔑 Encrypted: Credentials are secured with industry-standard encryption.
🖥️ Client-Side Processing: Nothing gets stored on my servers. Uploaded files stay and process in your browser, and query data is handled client-side. Your data never sits on my end.
No manual SQL. No Python. No week-long wait for a report.
Check out this quick demo to see it in action: https://youtu.be/oNcEJ6wI2ME?si=PuLQrHwSB69gLSCX
I'd really value feedback from the Indie Hackers community—especially from fellow founders, developers, and data teams.
If you don't have a database handy to test it with, there's a built-in sample e-commerce dataset so you can start asking questions right away.
Try it out here: https://datablips.com
What's the first thing you'd ask your data?
5 Comments
The “when it isn’t sure, it tells you” part is probably more important than the SQL generation itself. Getting a query is useful; knowing when the resulting answer isn’t trustworthy is what makes a data analyst feel dependable.
Thanks Aryan, I completely agree. That’s something I’m trying to make a core part of DataBlips. Generating SQL is useful, but if the system can’t tell you when the data is ambiguous, incomplete, or the answer is uncertain, it becomes hard to trust. I’d rather have it say “I’m not confident here” than give a polished but wrong answer.
Appreciate you pointing that out 🙌
That’s exactly the distinction I was getting at. I’d be interested in continuing the conversation outside the thread and hearing more about what you’re seeing with DataBlips. What’s the best email to reach you on?
This is my email: yash.b.mokashi@gmailcom
I would love to connect and discuss more about the DataBlips with you.
Thanks! I’ve just sent it over.
Looking forward to hearing your thoughts whenever you have a chance.