Launching in 15 Minutes.
I’m launching OptiSchema Slim on Product Hunt in 15 minutes 🚀 It’s a local-first, open-source tool for PostgreSQL performance, focused on validating index/query changes before applying them in production. Here’s what it does (in plain terms): 1) Finds your actual slow queries (not the ones you think are slow): Pulls real execution data from pg_stat_statements and ranks queries by total time,...
Made a Postgres performance tool because reading EXPLAIN plans got old
Working on Optischema-Slim - a tool that helps you optimize PostgreSQL without needing to be a database expert. The idea: most teams have slow queries but don't know why. Reading EXPLAIN plans is painful, and guessing at indexes usually makes things worse. So we built something that: Explains query plans in plain English (not cryptic node types) Suggests indexes that actually help (simulates...
First-time maker (Solo Dev). Launching OptiSchema Slim on Monday and low-key panicking
I’m building OptiSchema Slim: a local-first, open-source AI tool for PostgreSQL performance. I made it because my “Postgres tuning workflow” kept being reactive and messy, you notice slowness late, stare at EXPLAIN, guess an index, apply it, and only then find out if it helped. I wanted something that stays private (no data egress), but still gives practical guidance. It includes a Health...
What would make you trust a Postgres tuning recommendation?
I’m building OptiSchema Slim, a local-first AI tool for PostgreSQL performance. It finds slow/high-impact queries, explains plans, and can test “what-if” index ideas before you apply anything. For people who tune Postgres in real life: what would you need to see to trust a recommendation?