I would recommend you target data warehouses like snowflake and bigquery where the query complexity and thus value prop for a tool like this is potentially much higher.
I can ping you via email when the debugger is ready, if you're interested. My email is in my profile
https://chatgpt.com/share/68104c37-b578-8003-8c4e-b0a4688206...
Even if not for DuckDB, you can use this to validate/ parse queries possibly.
At my job, all of our business logic (4 KLOC of network topology algorithms) is written in a niche query language, which we have been migrating to PostgreSQL. When an inconsistency/error is found, tracking it can take days, manually commenting out parts of query and looking at the results.
This comment is still (surprisingly!) gaining traction, so leaving this here