We find what makes a product slow or fragile, and fix it with numbers.
Slow startups, dropped frames, migrations that stall: we measure first, fix in order of impact, and hand over the tooling that keeps it fixed.
Tools
- Performance audits
- Profiling
- Architecture reviews
- Observability
- Zero-downtime cutovers
- New Architecture
- Framework migrations
What this looks like from where you sit.
Everyone knows the app is slow and nobody agrees on why. Three teams have three theories and no shared measurement.
An upgrade has been deferred for two years. The New Architecture migration, the framework move, the database cutover — each one is a few weeks of work that would freeze features.
Performance work keeps getting undone. The fix lands, and six months later the same regression is back because nothing measures it.
How the work runs.
- 01Reproduce
We reproduce your problem on your data before changing anything: a trace, a profile, a flame graph, a Core Web Vitals run from the same device your users have. If we cannot reproduce it, we say so instead of billing a fix.
- 02Instrument
Everything is instrumented first — the metrics that show whether the work landed, wired into dashboards your team will actually look at. A fix you cannot verify is a guess with a merge commit.
- 03Fix in order of impact
The biggest wins first, in order of impact per unit of risk. Each one is a reviewable change with its own before and after, not one heroic refactor that touches everything.
- 04Report and hand over
Numbers on a page you can put in front of your board: what was measured, what changed, what it cost, and what is left on the list. Then we hand the profiling setup over so it stays fixed.
Three ways to start.
A fixed-scope audit or rescue: a week, a report, a ranked list of what to fix and what each fix is worth.
A migration with a deadline behind it — New Architecture, a framework move, or a cloud cutover, done without freezing features.
Ongoing ownership, where we hold the performance budget and treat a regression as a bug.