Why I Built QueryBear

I've been writing SQL since college. For years I worked at companies where the same pattern repeated: someone on the marketing or ops team needed data, they'd Slack an engineer, and that engineer would drop whatever they were doing to write a one-off query.

It's a terrible workflow. Engineers don't want to be human SQL interfaces. Business teams don't want to wait two days for a number. Everyone loses.

I started QueryBear because I wanted to fix this loop. The idea is simple: connect your database, and let anyone on your team ask questions in plain English. The AI writes the SQL, you review and run it.

I'm building this as a solo founder in Minneapolis. No VC money, no team of 50. Just me, a lot of coffee, and a genuine belief that data access shouldn't require a CS degree.

The early version was rough — basically a text box that generated SQL and dumped results in a table. But even that was enough to show people the potential. The first time a non-technical friend connected their Postgres database and pulled a revenue report in 30 seconds, I knew I was onto something.

I'm not trying to replace database engineers. I'm trying to free them up to do actual engineering instead of fielding ad-hoc data requests all day.

If that resonates with you, give QueryBear a try. I'd love to hear what you think.