What slow apps cost real users
- Cyberex Labss was built in 2025 around one specific problem — mobile apps that drain batteries, stall on mid-range devices, and lose users in the first 30 seconds.
- Every engagement starts with profiling real device data, not assumptions — we look at frame drops, memory pressure, and network call patterns before suggesting anything.
- Work happens with a single specialist per project, not a rotating team — the person who reads your codebase is the one who fixes it.
Diagnosis before any solution
Profiling a mobile app without proper tooling produces guesses, not findings. Cyberex Labss uses instrumented builds and device-level traces — Perfetto on Android, Instruments on iOS — to locate the actual bottleneck rather than the most obvious one.
Most performance issues cluster around three areas: excessive main-thread work during scroll, redundant network calls caused by missing cache strategy, and layout recalculations triggered by poorly sequenced state updates. Addressing the right one first changes the entire project timeline.
Numbers from real devices, not simulator runs or synthetic benchmarks.
One specialist, one project at a time — no handoffs, no context loss.
Every fix ships with a written trace — what changed, why, and what to watch next.
These figures reflect the share of client projects where measurable improvement was recorded in each category — not averages, not projections. Individual results depend heavily on the app architecture and the platform it runs on.
See what the work covers
Danylo Kravets
Lead Performance Engineer"The most expensive performance bug is the one that looks like a product decision. Getting those two things separated is half the work."
