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SqlOptimizer is built specifically for SQL performance tuning—not generic AI coding help. It analyzes your query, schema, and execution plan together to rewrite slow SQL into optimized versions. It detects missing indexes, bad JOINs, full scans, and N+1 issues, gives before/after performance scores, generates ready-to-run CREATE INDEX statements, supports PostgreSQL, MySQL, SQL Server & Oracle, and saves optimization history.
SqlOptimizer stands out by focusing specifically on real SQL performance optimization, not generic AI code assistance. Existing tools often provide broad suggestions or require manual tuning, while SqlOptimizer analyzes your query, schema, and execution plan together to deliver actionable fixes instantly.
What makes it different:
Rewrites slow SQL queries into optimized versions, not just advice
Performance score (before vs after) so users can measure improvement
Detects root causes like missing indexes, bad JOINs, full table scans, N+1 patterns
Generates ready-to-run CREATE INDEX statements
Supports multiple databases: PostgreSQL, MySQL, SQL Server, Oracle
Keeps optimization history for future reference
No setup, lightweight, and accessible for both beginners and experienced developers
Instead of acting like a chatbot, SqlOptimizer behaves like a dedicated SQL performance engineer available on demand.
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About SqlOptimizer on Product Hunt
“Stop Re-pasting & Start Optimizing”
SqlOptimizer was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #8 on the daily leaderboard. SqlOptimizer is built specifically for SQL performance tuning—not generic AI coding help. It analyzes your query, schema, and execution plan together to rewrite slow SQL into optimized versions. It detects missing indexes, bad JOINs, full scans, and N+1 issues, gives before/after performance scores, generates ready-to-run CREATE INDEX statements, supports PostgreSQL, MySQL, SQL Server & Oracle, and saves optimization history.
SqlOptimizer was featured in Productivity (650.7k followers), Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 286.6k products, making this a competitive space to launch in.
Who hunted SqlOptimizer?
SqlOptimizer was hunted by Anubhav Ranjan. 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.
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Anubhav Ranjan