Preparing an AI-Built Product for 1,000+ Active Users

Problem

The product was built fast using AI tools, but database queries, API routes, and connection pooling began breaking under concurrent user tests.

What we did

A developer reviewed the architecture, stabilized backend queries, implemented Redis caching and connection pooling, and removed conflicting AI code.

Result

The application successfully scaled to 1,000+ active users without latency spikes or server crashes.

Quote

“Launchieve showed me issues in my backend and payment flow that would have caused serious downtime under traffic. That saved our launch.”