QuerySense
FeaturesHow it works
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Your database is slow.
QuerySense fixes it.

AI-powered query optimizer that detects slow queries, analyzes execution plans, benchmarks fixes on a shadow database, and generates safe migration SQL.

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EXAMPLE QUERY
SELECT u.name, COUNT(o.id) FROM users u LEFT JOIN orders o...
2,840ms→180msafter index−94%
30s
polling interval
8+
issue types detected
3 DBs
PostgreSQL · MySQL · shadow
0
production writes to analyze
Live monitoring

Polls pg_stat_statements every 30s. Slow queries surface automatically — no instrumentation needed.

EXPLAIN analysis

Parses execution plans. Detects seq scans, missing indexes, hash joins, stale stats, and N+1 patterns.

Shadow DB testing

Benchmarks every recommendation on a real copy of your data before touching production.

AI-powered fixes

Claude explains root cause in plain English. Generates CREATE INDEX CONCURRENTLY migration SQL.

Index health

Finds unused, bloated, and duplicate indexes wasting disk space and slowing down writes.

CI/CD integration

REST endpoint catches slow queries before they reach production. GitHub Actions snippet included.

HOW IT WORKS

01
Connect your database
Read-only access. pg_stat_statements enabled. No schema changes.
02
Agent polls for slow queries
Every 30s, captures queries exceeding your SLA threshold.
03
EXPLAIN plan analysis
Detects seq scans, missing indexes, stale stats, bad joins.
04
AI generates recommendations
Claude explains the issue and ranks fixes by impact and risk.
05
Shadow DB benchmark
Tests the fix on a real copy of your data. Shows actual before/after.
06
One-click migration SQL
CONCURRENTLY-safe. Copy, deploy, done.
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PostgreSQL · MySQL · Real-time · AI-powered