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SQLGenie
Turn plain English into SQL with safety checks
SQLGenie turns plain English into SQL, and fixes/explains SQL you already have. Unlike most AI SQL tools, it doesn't guess it checks generated SQL against your actual schema instead of inventing columns, and shows exactly how many rows a DELETE/UPDATE will affect before you run it. Upload a screenshot,sql file, or Word doc if your SQL is buried elsewhere. Works with PostgreSQL, MySQL, SQL Server, Snowflake, and BigQuery. Free, no login needed.
I kept getting rusty on SQL syntax between projects and got tired of AI tools that would confidently make up a column name rather than admit they didn't know it. That's really what inspired this. I wanted something that checks itself against a real schema instead of guessing.
As I built it, the approach kept shifting toward safety and honesty rather than just "generate SQL fast." I added a row-impact preview so you can see how many rows a DELETE or UPDATE will actually touch before running it, and I made sure it tells you plainly when it can't find a column instead of inventing one.
I also tested every feature by hand before shipping, which caught a few real bugs along the way including one where a safety-check query had an empty WHERE clause and would've been useless if I hadn't caught it.
Would love to hear what's useful here and what's missing.
About SQLGenie on Product Hunt
“Turn plain English into SQL with safety checks”
SQLGenie was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #105 on the daily leaderboard. SQLGenie turns plain English into SQL, and fixes/explains SQL you already have. Unlike most AI SQL tools, it doesn't guess it checks generated SQL against your actual schema instead of inventing columns, and shows exactly how many rows a DELETE/UPDATE will affect before you run it. Upload a screenshot,sql file, or Word doc if your SQL is buried elsewhere. Works with PostgreSQL, MySQL, SQL Server, Snowflake, and BigQuery. Free, no login needed.
On the analytics side, SQLGenie competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how SQLGenie performed against the three products that launched closest to it on the same day.
Who hunted SQLGenie?
SQLGenie was hunted by Sqlgenie_dev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SQLGenie including community comment highlights and product details, visit the product overview.