Launched this week
SQL Mocker
Natural language SQL without database access
4 followers
Natural language SQL without database access
4 followers
SQL Mocker supports two workflows for working with SQL without connecting AI to your real database. First, you can create SQL from natural language queries using a safe schema replica and generated dummy data. This helps you review tables, relationships, filters, and result shape before using the SQL in your real database or reporting tool. Second, you can upload existing SQL to review, refine, troubleshoot, and improve it without exposing production data or database credentials.
Hi Product Hunt,
I built SQL Mocker because I kept seeing the same problem: people want help writing SQL, but they do not always want an AI tool connecting directly to their real database.
SQL Mocker has two main workflows.
First, you can create SQL using natural language questions using a reviewed schema and generated dummy data. This lets you check tables, columns, relationships, filters, and result shape before using the SQL in your real database or reporting tool.
Second, you can upload existing SQL to review, refine, troubleshoot, and improve it without exposing production data or database credentials.
I’d love feedback from anyone who writes SQL, supports reporting users, or works with tools like Power BI.
A few things I’m especially interested in:
- Is the “no direct database connection” workflow clear?
- Would schema review before SQL generation be useful in your team?
- What would make the SQL review process more trustworthy?
Thanks for taking a look.