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Project 05: Social Media Feed with Interactions

Phase 2: Intermediate Complexity
Why This Project?

Social features power many successful apps - Twitter, Instagram, Facebook, LinkedIn. Learning how to build feeds, interactions, and social graphs makes you more valuable as a developer.

This project teaches complex database relationships. A post belongs to a user, has many likes and comments, and comments can have replies. Managing these relationships properly is essential for building scalable applications.

You'll learn optimistic UI updates, which make apps feel fast and responsive. When a user clicks like, the heart fills immediately without waiting for the server. This technique dramatically improves user experience.

Why This Project?

Social features are in many apps, not just social media. Understanding how to build feeds, likes, comments, and follows teaches you about complex data relationships and user interactions.

This project introduces optimistic updates - making the UI respond instantly before the server confirms. This makes apps feel fast and responsive, which users love.

You'll learn how to build algorithms for content feeds, handle nested data like comments with replies, and work with many-to-many relationships like follows. These patterns appear in forums, review systems, and collaborative platforms.

Overview

Create a social media platform similar to Twitter or Instagram with posts, comments, likes, and a follow system. This project introduces complex data relationships, optimistic UI updates, and algorithms for content personalization.

You'll work with multiple interconnected data models, implement sophisticated queries, and build an engaging user interface that feels responsive and modern.

Learning Objectives

Design and implement complex database relationships

Build feed algorithms that sort and filter content

Implement optimistic UI updates for better UX

Handle nested data structures (posts with comments)

Create efficient queries with population and aggregation

Build infinite scroll pagination

Core Requirements

User profiles with bio, avatar, and follower counts

Create, edit, and delete posts (text and image)

Like and unlike posts with like count display

Comment on posts with nested replies

Follow and unfollow other users

Home feed showing posts from followed users

Explore feed showing popular posts from all users

User profile page with their posts and stats

Infinite scroll loading for feeds

Real-time like counts and comment counts

Data Models

User: id, username, email, bio, avatarUrl, followers[], following[], createdAt

Post: id, userId, content, imageUrl, likes[], commentCount, createdAt

Comment: id, postId, userId, content, parentCommentId, likes[], createdAt

Follow: followerId, followingId, createdAt

API Endpoints

POST /api/posts - Create new post

GET /api/posts/feed - Get personalized feed (following users)

GET /api/posts/explore - Get explore feed (popular posts)

GET /api/posts/:id - Get single post with comments

PUT /api/posts/:id - Edit post

DELETE /api/posts/:id - Delete post

POST /api/posts/:id/like - Like a post

DELETE /api/posts/:id/like - Unlike a post

POST /api/posts/:id/comments - Add comment to post

GET /api/posts/:id/comments - Get post comments

POST /api/users/:id/follow - Follow a user

DELETE /api/users/:id/follow - Unfollow a user

GET /api/users/:id/profile - Get user profile and posts

Feed Algorithm

Home feed: Show posts from users you follow, sorted by recency

Explore feed: Show posts from all users, sorted by popularity score

Popularity score calculation: (likes * 2) + comments - (hours since posted)

Pagination: Load 20 posts at a time with cursor-based pagination

Cache feed results for 5 minutes to reduce database load

Frontend Features

Navigation bar with home, explore, profile, and create post buttons

Post creation modal or page with text input and image upload

Post cards showing user info, content, image, and interaction buttons

Like button that updates immediately (optimistic update)

Comment section that expands to show all comments

User profile showing follower count, following count, and posts grid

Follow/unfollow button with optimistic updates

Infinite scroll that loads more posts as user scrolls down

Pull-to-refresh on mobile

Empty states for feeds with no content

Technical Challenges

Implement optimistic updates for likes and follows (update UI before server confirms)

Handle optimistic update rollbacks if server request fails

Build efficient queries using MongoDB aggregation for feed generation

Implement cursor-based pagination for infinite scroll

Normalize data to avoid showing stale user info in posts

Handle race conditions when multiple users interact with same post

Cache feed data appropriately to reduce server load

Implement intersection observer for infinite scroll trigger

Interaction Patterns

Liking: Add userId to post.likes array, increment like count

Commenting: Create new comment document, increment post.commentCount

Following: Create follow relationship, update follower/following counts

Show "You liked this" indicator on liked posts

Show "Following" badge on followed users

Disable actions while request is pending

Bonus Features

Add hashtag support with clickable tags

Implement user mentions with @ symbol

Add post sharing/reposting functionality

Create notification system for likes, comments, follows

Add direct messaging between users

Implement post bookmarking/saving

Add image filters or cropping before upload

Show "suggested users to follow" based on mutual connections

Helpful Resources

MongoDB Aggregation: MongoDB docs on aggregation pipeline. It's powerful for complex queries.

Optimistic UI: Search for "optimistic UI updates React" to learn the pattern.

Infinite Scroll: Look up "Intersection Observer API" for smooth infinite scrolling.

Data Relationships: Search for "MongoDB one-to-many" and "many-to-many" patterns.

Cursor Pagination: Learn why cursor-based pagination is better than offset for large datasets.

Feed Algorithms: Read about "social media feed algorithms" to understand ranking.

Helpful Resources

MongoDB Relationships: Search for "MongoDB relationships" or "Mongoose populate". Learn how to connect different data models.

Aggregation Pipeline: MongoDB aggregation docs. Aggregation helps you build complex queries for feeds.

Optimistic Updates: Search for "React optimistic updates" or "optimistic UI pattern".

Infinite Scroll: Look up "Intersection Observer API" or "React infinite scroll tutorial".

Cursor Pagination: Search for "cursor-based pagination vs offset pagination". Cursor is better for feeds.

Success Criteria

Feed loads quickly and shows relevant content

All interactions feel instant due to optimistic updates

Infinite scroll works smoothly without lag

Like and follow counts are accurate across all views

Comments appear in correct order (newest or oldest first)

User profile accurately reflects their activity

Application handles edge cases (unliking, unfollowing)

No duplicate posts appear in feed

Learning Resources

Study MongoDB aggregation pipeline for complex queries

Research cursor-based pagination vs offset pagination

Learn about optimistic UI updates in React

Explore Intersection Observer API for infinite scroll

Look into data denormalization strategies

Hint: When implementing optimistic updates, always store the previous state before making changes. If the server request fails, you can roll back to the previous state and show an error message.

For the feed algorithm, create database indexes on fields you'll query frequently (userId, createdAt, likes count). This will significantly speed up feed generation as your database grows.

Submit Your Project

Once you've completed this project, submit your GitHub repository link below: