I built ERAO, an AI data analytics tool that lets you connect a database or upload files (CSV, Excel, etc.) and ask questions in plain English to get queries and visualizations.
You can:
Connect PostgreSQL
Upload CSV / Excel files
Ask questions like:
“Show revenue by month”
“Top 10 customers by total spend”
“Compare 2024 vs 2025 growth”
The AI generates the query and returns a chart automatically.
I built it because I wanted a faster way to explore data without writing SQL manually or switching between tools. It’s still in active development — I’m working on improving chart performance, query reliability, and UX.
I’d really appreciate feedback from:
Backend engineers
Data analysts
People building internal tools
Anyone who works with raw data regularly
What would make something like this useful in your workflow?
I’m 15 and built this independently, so technical feedback is very welcome.
Hi HN,
I built ERAO, an AI data analytics tool that lets you connect a database or upload files (CSV, Excel, etc.) and ask questions in plain English to get queries and visualizations.
You can:
Connect PostgreSQL
Upload CSV / Excel files
Ask questions like:
“Show revenue by month”
“Top 10 customers by total spend”
“Compare 2024 vs 2025 growth”
The AI generates the query and returns a chart automatically.
I built it because I wanted a faster way to explore data without writing SQL manually or switching between tools. It’s still in active development — I’m working on improving chart performance, query reliability, and UX.
I’d really appreciate feedback from:
Backend engineers
Data analysts
People building internal tools
Anyone who works with raw data regularly
What would make something like this useful in your workflow?
I’m 15 and built this independently, so technical feedback is very welcome.
Thanks