Social Reading

Flock blends social media mechanics with literature discovery, allowing users to connect, chat, and grow through shared reading experiences.

Swipe & Match

Users discover other readers using a swipe-based matching system, similar to modern social apps, focused entirely on literary affinity.

AI-Driven Discovery

Every match unlocks curated reading recommendations generated specifically for both users.

User Profiles

• Custom avatar as profile picture
• Personal reading history
• Favorite books selection
• Preferred literature genres

Matching System

• Swipe to like or skip users
• Match based on shared interests
• Instant chat unlock on match

AI Recommendations

• Generated on each successful match
• Based on common favorite books
• Suggests books neither user has read
• Encourages shared reading experiences

Community Section

• Post opinions and reviews
• Comment on other users’ posts
• Engage in book-centered discussions

iOS Frontend

The client application is a fully native iOS app written in Swift, ensuring high performance, smooth animations, and a seamless swipe-based user experience.

Serverless Architecture

The backend is built using a serverless architecture on AWS, orchestrated with Lambda functions to handle matching, recommendations, and chat initialization.

AI-Powered Matching

When two users match, a Lambda function calls the OpenAI API to analyze both users’ common favorite books and generate a fresh list of recommended reads.

Scalable & Cost-Efficient

The serverless approach allows the platform to scale automatically with user growth while keeping infrastructure costs optimized.