phy-sql-explainerAnalyze PostgreSQL, MySQL, or SQLite EXPLAIN ANALYZE output to identify bottlenecks, stale stats, missing indexes, N+1 issues, and suggest fixes.
Install via ClawdBot CLI:
clawdbot install phy041/phy-sql-explainerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://canlah.aiAudited Sep 2, 2026 · audit v1.0
Generated Sep 1, 2026
An online retailer experiences slow order retrieval queries during peak sales, impacting customer experience and operational efficiency. Using SQL Explainer, they analyze EXPLAIN ANALYZE output to identify missing indexes on order status and user ID, reducing query time from seconds to milliseconds.
A SaaS company provides real-time analytics dashboards to clients, but complex queries over large datasets cause timeouts. SQL Explainer helps them diagnose inefficient joins and suggest indexing strategies and query rewrites, improving dashboard responsiveness and customer satisfaction.
A financial services firm generates regulatory reports that require aggregating millions of transactions. Slow queries delay reporting and risk non-compliance. By using SQL Explainer, they identify bottlenecks in aggregate queries and implement covering indexes and materialized views, cutting report generation time by 70%.
A hospital information system handles queries for patient records that are frequently accessed by clinicians. High latency in these queries affects patient care. SQL Explainer helps optimize schema and indexes for patient demographics and visit history, ensuring fast and reliable access.
A logistics company tracks shipments and plans routes using a database with large volumes of location data. Slow queries for shipment status and route optimization hinder real-time tracking. SQL Explainer enables them to create partial indexes on active shipments and optimize spatial queries, improving operational efficiency.
Offer the SQL Explainer as a free tool to attract developers and database administrators. Generate revenue through premium features like historical analysis, advanced recommendations, and priority support.
Provide the tool as a cloud-based service with a subscription model. Users pay monthly or annually based on usage volume (number of queries analyzed) and features (team collaboration, integration with CI/CD).
Use the tool internally to offer database performance consulting services. Charge clients for deep-dive analysis, optimization recommendations, and implementation support, leveraging the tool to accelerate service delivery.
💬 Integration Tip
Integrate into existing code review workflows or database tools like pgAdmin, DBeaver, or CLI environments. Provide a simple API or CLI for programmatic access.
Scored Sep 2, 2026
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