Fbclone

When an average user publishes a post, use to push the post ID into the Redis timelines of their active friends.

: Next.js (utilizing Server Actions and React Server Components). Styling : Tailwind CSS.

This guide breaks down the core architecture, essential features, database design, and key technical challenges required to build a highly scalable social networking platform from scratch. 1. Core Feature Roadmap fbclone

Socket.io or WebSockets for instant messaging and live notifications. Database & Storage Relational Data (Users/Friendships): PostgreSQL or MySQL. Document Data (Posts/Comments): MongoDB. Caching & Session Management: Redis. Media Storage: Amazon S3 or Cloudinary. 3. Database Schema Design

To replicate Facebook Messenger, bypass standard HTTP requests. Use persistent via libraries like Socket.io. When an average user publishes a post, use

Privacy Controls: Allow users to toggle the visibility of their posts and personal information. Conclusion

: Avoid using SQL OFFSET pagination (e.g., LIMIT 10 OFFSET 1000 ). As the offset grows, the database must parse through thousands of records it ultimately discards, resulting in deteriorating read speeds. This guide breaks down the core architecture, essential

An FBClone isn't complete without real-time reaction mechanics. Users expect instant UI updates when liking a post or adding a comment thread without suffering tedious page reloads. Ephemeral "Stories" that disappear after 24 hours add another layer of modern feature complexity. Selecting Your Tech Stack

User Authentication: Secure signup, login, and OAuth integrations.

: Verify the clone against the original database, especially if you have case-sensitive fields or specific charset requirements. Key Features

Designing a database schema capable of storing and efficiently retrieving vast amounts of data related to users, posts, comments, likes, and shares.