Case Study

Syncing Life in Real-Time

Architecture deep-dive: How I built a React SaaS that handles thousands of daily updates.

Daily Planner App
10k+
Weekly Users
150ms
Sync Latency
100%
Uptime

The Challenge: Seamless State

Building a to-do list is easy. Building one that syncs instantly between a phone and laptop while handling offline network drops is hard.

The client needed a robust architecture that felt as responsive as a native app, regardless of internet quality.

The Strategy

I chose React for the UI and Firebase (Cloud Firestore) for the backend. Firestore's real-time listeners were perfect for this use case.

1. Optimistic UI Updates

We don't wait for the server to say "Success". when a user checks a box, the UI updates instantly. If the server fails (rare), we roll back. This makes the app feel zero-latency.

2. Offline Persistence

Checking tasks on the subway shouldn't show a "No Connection" error. I implemented local caching so users can continue working, and the app automatically syncs when connection is restored.

The Execution

// Real-time listener hook
useEffect(() => {
  const unsubscribe = onSnapshot(doc(db, "users", userId), (doc) => {
    // Instantly update Redux state when cloud changes
    dispatch(updateTodos(doc.data()));
  });
  return () => unsubscribe();
}, [userId]);

This simple hook ensures that if a user updates their list on their phone, their open laptop screen updates instantly without a page refresh.

The Results

The app launched to 10,000 active weekly users with zero reported data loss issues. The "Offline First" approach became a key selling point in their marketing.

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