What's included
Deliverables
Launch time profiling
dylib load time, static initialiser audit, and main-thread work reduction. Target: <400ms cold launch.
Memory analysis
Heap profiling, retain cycle detection, memory growth over session lifetime. Eliminates OOM crashes.
Network & API optimisation
Request waterfall analysis, parallelisation, caching strategy, and payload reduction.
Rendering performance
Off-screen rendering, overdraw, list scrolling jank, Instruments Time Profiler + Core Animation analysis.
MetricKit instrumentation
Production performance telemetry so you know when P95 regresses after the next release.
Performance test suite
XCTest baselines for launch time and key user flows, CI fails if performance regresses.
How it works
The process
Baseline & profile
Establish current benchmarks across launch time, memory, and network. Identify the top 3 high-impact regressions.
Fix & measure
Implement fixes one at a time, re-profile after each. No guessing, every change is validated against the baseline.
Monitoring & prevention
MetricKit hooks and XCTest performance baselines so the next team member can't accidentally re-introduce the regression.
Is this right for you?
Who it's for
Apps with poor App Store ratings
Performance complaints in reviews are fixable. Profiling almost always reveals 2-3 root causes that explain the majority of complaints.
Teams before a major release
Performance review before you ship to 100k users is cheaper than hotfixing after.
Fintech & enterprise apps
Regulated apps often carry legacy networking and storage patterns that quietly kill performance.
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