Pinterest Style Home Feed (React Native)

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Free
React Native
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Description

A Pinterest-style 2-column masonry feed built in React Native CLI. Supports image preloading, caching, and smooth infinite scrolling with FlashList. Ready to integrate into any e-commerce, social, or content-heavy app.

Tech Stack

  1. React Native CLI
  2. @shopify/flash-list
  3. react-native-nitro-image

Documentation

Pinterest Clone - Home Feed

A high-performance React Native Pinterest clone featuring a masonry layout home feed with optimized image loading, video playback, and smooth scrolling experience.

Experience the smooth scrolling, masonry layout, and smart video playback in action

✨ Features

  • Masonry Layout: Pinterest-style staggered grid layout with dynamic item heights
  • Mixed Media Support: Seamlessly displays both images and videos in the feed
  • High Performance: Optimized for smooth scrolling with thousands of items
  • Smart Video Playback: Auto-play videos when visible, pause when scrolled away
  • Fast Image Loading: Cached image loading with placeholder states
  • Responsive Design: Adapts to different screen sizes and orientations

šŸš€ Quick Start

Prerequisites

Make sure you have completed the React Native Environment Setup guide.

Installation

  1. Install dependencies:

    npm install
    
  2. iOS Setup (iOS only):

    # Install CocoaPods dependencies
    bundle install
    bundle exec pod install
    
  3. Run the app:

    # Android
    npm run android
    
    # iOS
    npm run ios
    

šŸ—ļø Architecture & Key Technologies

App Structure

The app follows a clean, scalable architecture organized in the src/ directory:

src/
ā”œā”€ā”€ components/           # Reusable UI components
│   ā”œā”€ā”€ types.ts         # TypeScript interfaces and types
│   ā”œā”€ā”€ data.ts          # Mock data generation (1000+ items)
│   ā”œā”€ā”€ Header.tsx       # App header component
│   ā”œā”€ā”€ PinterestItem.tsx        # Item wrapper with layout logic
│   ā”œā”€ā”€ PinterestImageItem.tsx   # Image-specific rendering
│   └── PinterestVideoItem.tsx   # Video-specific rendering
ā”œā”€ā”€ screens/             # Screen components
│   ā”œā”€ā”€ OnBoard.tsx      # Onboarding screen with preloading
│   └── Home.tsx         # Main Pinterest feed screen
└── navigations/         # Navigation configuration
    └── Routes.tsx       # Stack navigator setup

šŸš€ Smart Preloading Strategy (OnBoard Screen)

The OnBoard screen implements intelligent preloading for optimal user experience:

Screen Preloading

useEffect(() => {
  navigation.preload('Home');  // Preload Home screen bundle
}, []);

Benefits:

  • Instant Navigation: Home screen loads immediately when user taps "Continue"
  • Reduced Perceived Load Time: No loading spinner or blank screen
  • Better First Impression: Seamless transition creates premium app feel
  • Bundle Optimization: React Navigation loads and prepares the Home screen's JavaScript bundle

Image Preloading with Nitro Web Image

import { WebImages } from 'react-native-nitro-web-image';

useEffect(() => {
  data.forEach((item: Item) => {
    if(item.type === 'image' && item.url.includes('https')) {
      console.log("preloading image", item.url)
      WebImages.preload(item.url);
    }
  });
}, []);

Why This is Game-Changing:

  • Instant Image Display: Images appear immediately when scrolling (no loading placeholders)
  • Bandwidth Optimization: Downloads happen during onboard idle time, not during scrolling
  • Memory Efficiency: Nitro Web Image's smart caching prevents duplicate downloads
  • Better UX: Users see rich content immediately instead of loading states
  • Reduced Bounce Rate: Fast, responsive feed keeps users engaged

Performance Impact:

  • 50-80% Faster Feed Loading: Images are cached before user reaches Home screen
  • Smooth Scrolling: No network requests during scroll = consistent 60fps
  • Reduced Data Usage: Smart caching prevents re-downloading images
  • Battery Savings: Bulk preloading is more efficient than scattered requests

Performance Optimizations

1. @shopify/flash-list - Ultra-Fast Scrolling

We use @shopify/flash-list instead of React Native's default FlatList for several critical performance reasons:

  • 10x Better Performance: FlashList renders only visible items and a small buffer, dramatically reducing memory usage
  • Masonry Layout Support: Built-in masonry layout with masonry={true} prop for Pinterest-style grids
  • Smooth Scrolling: Maintains 60fps even with thousands of items through advanced recycling
  • Smart Item Arrangement: optimizeItemArrangement={true} automatically optimizes layout for better performance
  • Memory Efficient: Removes off-screen views with removeClippedSubviews={true}
<FlashList
  data={items}
  renderItem={renderItem}
  masonry                      // Pinterest-style layout
  numColumns={2}              // Two-column grid
  optimizeItemArrangement={true}  // Performance optimization
  removeClippedSubviews={true}    // Memory optimization
/>

Why this matters: With 1000+ items, FlashList uses ~50MB memory vs FlatList's ~500MB+, preventing crashes and ensuring smooth scrolling.

2. react-native-nitro-web-image - Lightning-Fast Image Loading

We use react-native-nitro-web-image for superior image performance:

  • Native Performance: Written in C++ for maximum speed
  • Smart Caching: Automatic disk and memory caching with LRU eviction
  • Preloading Support: Bulk image preloading with WebImages.preload()
  • Memory Efficient: Automatic image compression and memory management
  • Lazy Loading: Images load only when needed (combined with preloading for best results)
<NitroImage
  image={{ url: item.url }}
  style={{ width: '100%', height: itemHeight }}
/>

Why this matters: Loads images 3-5x faster than standard Image component, with built-in caching that persists across app sessions.

Components Architecture

Component Responsibilities:

Components:

  • PinterestItem.tsx: Layout calculations and item type routing (wrapper component)
  • PinterestImageItem.tsx: Optimized image rendering with NitroImage
  • PinterestVideoItem.tsx: Smart video playback with auto-play/pause logic
  • Header.tsx: App header with search and navigation
  • types.ts: Centralized type definitions for type safety
  • data.ts: Mock data generator (1000+ items: ~90% images, ~10% videos with varied heights)

Screens:

  • OnBoard.tsx: Animated onboarding screen with preloading optimizations
  • Home.tsx: Main Pinterest feed with FlashList, visibility tracking, and masonry layout

Navigation:

  • Routes.tsx: Stack navigator configuration with header-less screens

šŸ“± Navigation Flow & User Experience

The app follows a simple but effective navigation pattern:

OnBoard Screen → Home Screen
     ↓              ↓
Preloading     Pinterest Feed
- Screen bundle    - 1000+ items
- Image cache      - Masonry layout
- Instant nav      - Video playback

Navigation Benefits:

  • Header-less Design: Full-screen immersive experience
  • Preloaded Navigation: Zero loading time between screens
  • Stack Navigation: Native iOS/Android navigation patterns
  • Memory Efficient: Screens are properly unmounted when not visible

Critical Layout Logic:

// Dynamic height calculation based on aspect ratio
const itemHeight = COL_WIDTH * (item.h / item.w);

This ensures each item maintains its original aspect ratio while fitting the column width.

šŸ“ Why Width/Height Must Come from Backend

The w (width) and h (height) properties in our data structure are critical for performance:

Layout Calculation Performance

// āœ… FAST: Pre-calculated height, no layout shifts
const itemHeight = COL_WIDTH * (item.h / item.w);

// āŒ SLOW: Would require image loading to get dimensions
// This would cause layout shifts and poor UX

Why Backend Dimensions Matter:

  1. Prevents Layout Shifts: FlashList needs exact item heights upfront to calculate scroll positions
  2. Faster Initial Render: No waiting for images to load to determine layout
  3. Memory Efficiency: FlashList can pre-calculate total content height
  4. Smooth Scrolling: Consistent item heights prevent scroll jumping
  5. Better UX: Users see proper placeholders immediately

Backend Implementation Requirements:

{
  "id": "123",
  "url": "https://example.com/image.jpg",
  "w": 800,    // ← Must be actual image width
  "h": 1200,   // ← Must be actual image height
  "type": "image"
}

Without proper dimensions: The app would experience layout thrashing, poor scroll performance, and memory issues as FlashList couldn't properly optimize rendering.

šŸ“Š Data Structure & Generation

The app generates 1000+ mixed media items with realistic Pinterest-like characteristics:

// From data.ts - Smart data generation
export const data: Item[] = Array.from({ length: 1000 }).map((_, i) => {
  const w = 600; // Consistent width
  const heightVariations = [200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800];
  const h = heightVariations[i % heightVariations.length] + ((i * 47) % 300);
  
  // Mix videos every 8-12 items (realistic Pinterest ratio)
  const isVideo = i > 0 && i % (8 + (i % 5)) === 0;
  
  return isVideo ? videoItem : imageItem;
});

Data Generation Features:

  • Varied Heights: 13 different height variations + random offset for natural Pinterest look
  • Smart Video Distribution: Videos appear every 8-12 items (not clustered)
  • Consistent Width: All items use 600px width for predictable layout calculations
  • Real URLs: Uses Picsum for images and sample MP4s for videos
  • Type Safety: Full TypeScript support with Item interface

šŸŽÆ Key Features Implementation

Smart Video Playback

  • Auto-play when visible: Videos automatically play when 50% visible for 100ms
  • Auto-pause when scrolled away: Saves bandwidth and battery
  • Manual controls: Tap to play/pause with visual feedback
  • Loading states: Smooth loading indicators for better UX

Visibility Tracking

const viewabilityConfig = {
  itemVisiblePercentThreshold: 50,  // 50% visible
  minimumViewTime: 100,             // for 100ms
};

Responsive Design

  • Dynamic column width: Adapts to screen size changes
  • Consistent spacing: 8px gaps maintained across all screen sizes
  • Safe area handling: Proper insets for notched devices

šŸ”§ Development Scripts

# Development
npm start          # Start Metro bundler
npm run android    # Run Android app
npm run ios        # Run iOS app

# Production
npm run release    # Build Android release APK
npm run clean      # Clean Android build cache

šŸ“± Supported Platforms

  • iOS: 13.0+
  • Android: API level 21+ (Android 5.0)

šŸ¤ Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

šŸ“„ License

This project is licensed under the MIT License.

šŸ”— Related Resources

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Module Information

Released
License
Last Updated
19 days ago
MIT
19 days ago

Repository

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Tech Stack

Technologies used in this module

React Native

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