Fintech Platform: API Performance Overhaul Before Series A
Fixed N+1 query problems, added caching, and reduced API response times before the team's Series A technical due diligence.
What needed solving
The platform's core API endpoints were timing out under load. The engineering team had shipped fast but accumulated significant performance debt. With a Series A on the horizon and due diligence scheduled, they needed the API stable and provably fast.
How we solved it
We audited all API endpoints, identified N+1 queries and missing indexes, and implemented Redis caching for hot data paths. We also added query monitoring and set up load testing infrastructure so the team could validate performance going forward.
Audited every hot path
We profiled the core API under load, pinpointing N+1 queries and missing indexes that caused timeouts during traffic spikes.
Fixed and cached the right layers
We resolved N+1s across 12 critical endpoints, added targeted database indexes, and introduced a Redis caching layer for high-read data.
Made performance provable
A realistic load-testing suite and a monitoring dashboard let the team demonstrate stability to investors and catch regressions going forward.
What we shipped
- Full API performance audit with query analysis
- Fixed N+1 queries across 12 critical endpoints
- Redis caching layer for high-read data
- Database index optimization
- Load testing suite with realistic traffic patterns
- Performance monitoring dashboard
Results
Outcomes observed after shipping.
Core API response times reduced significantly under load
No timeout errors during subsequent load tests
Technical due diligence completed without performance concerns
Engineering team equipped with monitoring to catch regressions
“We walked into due diligence dreading the performance questions. They never came up — the numbers spoke for themselves.”CTO, Series A fintech platform
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