Database Query Performance Advisor with AI-Generated Index Recommendations for Supabase/PostgreSQL Teams
PostgreSQL databases slow down as data grows but most developers don't know which indexes to create. A query performance advisor that analyzes slow query logs, identifies missing indexes, and generates CREATE INDEX statements with expected performance improvement estimates would prevent the 'our app got slow' incidents that hit every growing application.
Problem Statement
A Supabase developer's app has 100K users. Queries that took 50ms with 1K users now take 3 seconds. They know 'add an index' but don't know which columns, what type of index, or whether a compound index is better. They try adding indexes randomly, sometimes making things worse. A DBA would solve this in minutes, but hiring a DBA for one database is overkill.
The Idea
A database query performance advisor that analyzes PostgreSQL slow query logs, identifies missing indexes, and generates specific CREATE INDEX statements with estimated performance improvement for each recommendation.
Why Now
Supabase has made PostgreSQL the default database for modern web applications. Most Supabase developers are frontend-first and don't understand database indexing. As their apps grow, queries slow down. They need a tool that speaks developer language: 'add this index, your query will go from 2s to 50ms', not DBA jargon.
Target User
Full-stack developers using Supabase/PostgreSQL without dedicated database administration experience
Target Market
Supabase and self-managed PostgreSQL developers building applications with growing data volumes
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