Learn to optimize React apps by caching expensive calculations like large list filters. Discover why overusing useMemo backfires and get a 3-step checklist to decide when to memoize.

We need to stop thinking about memoization as just 'speeding up a function' and start seeing it as 'preserving identity.' If you pass a filtered list to a child component that’s wrapped in React.memo, but you don't use useMemo for that list, you’ve essentially neutralized your optimization.
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From Columbia University alumni built in San Francisco

Lena: Jackson, I was looking at some performance audits recently and found a wild stat—unnecessary re-renders cost React apps an average of 34% in wasted CPU cycles. It’s like leaving the engine idling while you’re parked!
Jackson: Right! And the most common reflex for developers is to just sprinkle useMemo everywhere like magic performance dust. But here’s the counterintuitive part: overusing it can actually add more overhead and complexity than it saves.
Lena: Exactly, it’s not a "free" win. I like to think of useMemo as a "cheat sheet" for your component. Instead of doing a massive math problem every single time the UI updates, you write the answer down once and save it for later.
Jackson: That’s a perfect metaphor. It’s all about caching those expensive results—like filtering a massive list of ten thousand rows—so you only re-calculate when the data actually changes.
Lena: So, let's dive into the "Go/No-Go" checklist to see when this tool actually pays off...