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Product Requirements Document v2.0
BookConnect is a social media platform designed specifically for book enthusiasts, combining personal reading tracking with social discovery and community engagement.
The platform addresses the growing demand for specialized social networks that cater to specific interests, providing book lovers with tools to organize their reading journey while connecting with like-minded readers.
Key differentiators include AI-powered recommendation algorithms, virtual bookshelf customization, and integrated reading progress sharing with privacy controls.
10,000+ active users within 6 months
Average 3 books per user profile
40% monthly active user retention
5+ interactions per user per week
28-year-old marketing professional who reads 30+ books per year. Active on Goodreads and values detailed tracking of her reading journey.
45-year-old librarian who organizes multiple book clubs. Needs tools to coordinate group reads and facilitate discussions.
22-year-old student who reads 8-12 books annually. Wants simple discovery tools and occasional social interaction.
Market leader with 125M+ users. Strong social features but outdated interface and limited modern functionality.
Rising competitor with 2M+ users. Focuses on better recommendations and reading analytics.
New platform targeting book clubs with 500K+ users. Clean design but limited tracking features.
The book social media market is underserved with aging platforms and niche solutions. BookConnect can capture market share by combining the best features of existing platforms with modern UX and AI-powered recommendations.
Customizable shelves with advanced organization and privacy controls.
Comprehensive tracking with detailed analytics and goal management.
Advanced machine learning for personalized book discovery.
Rich social interactions with privacy controls and community building tools.
I want to create and customize my reading profile so that I can showcase my literary preferences and reading history.
I want to discover new books based on my interests so that I can find my next great read without endless searching.
I want to participate in reading discussions and share my thoughts so that I can engage with a community of readers.
/api/v1/booksRetrieve books with filtering, searching, and pagination
genre - Filter by genreauthor - Filter by authorsearch - Text searchpage, limit - Pagination{ books: [...], pagination: {...} }/api/v1/shelves/:id/booksAdd a book to user's bookshelf with reading status
{ bookId, status, notes? }{ success: true, shelfBook: {...} }/api/v1/recommendationsGet personalized book recommendations for authenticated user
type - personal, trending, similarlimit - Max recommendationsGoodreads dominance and potential feature copying by competitors
High CAC in competitive social media landscape
Performance issues as user base grows rapidly
Managing inappropriate content and user disputes
Should we launch with a freemium model or require immediate subscription?
Context: Market research shows 73% prefer free trials, but premium-first models have higher LTV.
Which international markets should we prioritize for expansion after US launch?
Options: UK/AU (English), Canada (bilingual), or Germany (largest EU book market).
Should we build ML recommendations in-house or use third-party services initially?
Trade-offs: In-house = full control but 3-6 month delay; Third-party = faster launch but ongoing costs.
React Native for cross-platform development or native iOS/Android apps?
Decision Factor: 68% of reading app usage happens on mobile devices.
How much information should we collect during user onboarding?
Options: Minimal (email only) vs Progressive (reading preferences over time).
Should user profiles and reading activity be public by default?
Considerations: Privacy vs social engagement; GDPR compliance requirements.