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engineering Edit

Optimizing React Performance: From 3s to 300ms

Real performance wins from a production React app — covering code splitting, memo strategies, virtualization, and the new React compiler.

SC
Sarah Chen
July 11, 2026·1 min read
Optimizing React Performance: From 3s to 300ms

The Problem

Our dashboard was taking 3 seconds to become interactive. Users were bouncing. We needed to fix it fast.

Here's the systematic approach we took to cut load time by 90%.

Step 1: Measure First

Before optimizing anything, we profiled with React DevTools and Lighthouse. The results showed three main bottlenecks: a 2MB JavaScript bundle, 500+ component re-renders on initial load, and a 200-row table rendering all rows at once.

Step 2: Code Splitting

We lazy-loaded every route and heavy component.

Tip

Don't just code-split routes — split heavy components within routes too.

Step 3: Virtualization

For our 200-row table, we switched to virtual rendering with @tanstack/react-virtual.

Step 4: Strategic Memoization

Not everything should be memoized. We focused on components that receive object/array props, components in frequently-updating contexts, and expensive computed values.

Results

TTI went from 3.2s to 0.3s, bundle size from 2.1MB to 420KB, re-renders from 500+ to 45, Lighthouse from 34 to 96.

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#react#performance#typescript
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Written by

Sarah Chen

admin

Senior frontend engineer and tech writer. Passionate about React, TypeScript, and building great developer experiences. Previously at Vercel and Stripe.

Comments (1)

TH
Tom Harrisonabout 2 months ago

Those before/after metrics are impressive! Did you also try React Server Components for the initial load optimization?

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