How We Actually Got Here
The first project we took on was almost a disaster. A local business had an app that kept timing out during peak hours—right when customers were trying to place orders. We spent two weeks convinced it was a server issue. Turns out the app was making redundant API calls that multiplied under load.
That taught us to check assumptions first. Now we start every engagement with monitoring before we touch any code. You can't improve what you haven't measured, and measuring wrong sends you down expensive dead ends.
By 2023, we'd worked with enough teams to spot patterns. Memory leaks from image caching. Battery drain from background location services left running. UI freezes from blocking the main thread. Most performance problems fall into recognizable categories once you've seen them enough times.
We built our diagnostic process around those patterns. It's not magic—just systematic elimination of common culprits, followed by deeper investigation if needed. Boring? Maybe. But it works more reliably than hoping inspiration strikes.



