🎉 MindQuery AI is now in beta! Try it at mindquery.ai

I'm happy to share this small side project I've been working on in my free time. It started because of the daily problems we all have at work – you know those days when you have too much data coming from everywhere? For me, it was always switching between PostgreSQL databases, MySQL, BigQuery, and tons of Excel files from different teams.

Some days, I felt more like a translator than someone who analyzes data, changing between different query languages just to answer simple questions like "How many active users did we have last month?" It was frustrating to write different queries for each database, copy data into spreadsheets, and make charts that everyone could understand.

After one really annoying day of switching between SQL types and spreadsheet formulas, I thought, "There has to be an easier way." That's when I got the idea for MindQuery AI – a simple tool that would let me ask questions about my data using normal English.

I'm starting small with just PostgreSQL support. The tool uses AI to turn my questions into good SQL queries (actually better than the ones I write myself, honestly). I can ask things like "Show me daily active users for the last month," and it creates the SQL for me, including all the right joins and calculations.

I know it's not much yet – just a basic version really. But it's already helping me save time at work, and when a few coworkers looked at what I was building, they said I should share it with more people. So here I am, putting out a simple beta version.

If you're using PostgreSQL and are tired of writing complex queries like I was, I'd love for you to try it at [website]. Just so you know: there will be problems, and it's not perfect. But I'm hoping that with your thoughts, we can make it better together. I'm especially interested in hearing about what other data sources you work with and what features would make your life easier.

Thanks for reading my small announcement! And yes, I know there are probably better ways to solve this problem, but this is my attempt at making data analysis a little bit easier for people like me who work with multiple data sources every day.