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Leaking timers, listeners, and subscriptions usually show up after a user keeps the app open.

Home / React Native Memory Leaks
Memory leaks are one of the easiest ways for a mobile app to feel fine at launch and then slowly become unstable after a user spends time inside it.
Leaking timers, listeners, and subscriptions usually show up after a user keeps the app open.
Heavy images and poorly managed list screens can quietly increase memory pressure.
The earlier you profile memory behavior, the easier it is to isolate the real cause.
In React Native, leaks can affect both the JavaScript side and the native side, which is why the symptoms may be confusing. Sometimes the UI feels slower, sometimes navigation becomes unstable, and sometimes the app just seems to use more memory every minute.
Clean up listeners in effect teardown, stop timers when components unmount, and keep long-lived state in the smallest place that still makes sense. For lists, avoid loading more than the screen needs at one time.
If the issue is deep inside a native module or a heavy screen, isolate the hotspot and test whether a native implementation, a smaller component tree, or a data flow change would remove the problem.
A leak that is ignored early becomes a support problem later. This is why performance work and architecture work tend to go together.
No. Small apps can leak too if timers, listeners, or caches are not cleaned up correctly.
Yes. More memory pressure usually means more work for the device and worse overall efficiency.
At least on major releases or screens that handle heavy interactions, yes.
I wrote this page for people who want a practical view of react native memory leaks: causes and fixes before they make an engineering decision or ask for implementation help.
My preference is to start with the product constraint, then choose the technical approach. A mobile app usually has competing pressures: delivery speed, app size, startup time, offline behavior, platform-specific details, analytics, release risk, and the cost of maintaining the code after the first version ships. Good React Native work keeps those pressures visible instead of hiding them behind library choices.
When I review a codebase or plan a new build, I look for the parts that will create the most operational risk: slow screens, unclear state ownership, fragile navigation, native modules without a release plan, missing test coverage, oversized images, and app-store workflows that depend on manual steps. Fixing those problems early is usually cheaper than trying to recover after users start reporting crashes or performance issues.
That is also why the pages on this site link to each other. Architecture affects performance, testing affects release confidence, Expo choices affect native integration, and component-level decisions can show up later as accessibility, debugging, or maintenance problems. The goal is not to make the app look technically impressive. The goal is to make it stable, understandable, and easy for a real team to keep improving.