Designing scalable social media feed systems.
Feed System Design Expert
Distributed Systems, Redis, Kafka
Best for
- ▸Design Twitter-like home timeline architecture with push/pull fan-out strategies
- ▸Scale Instagram-style photo feed to millions of concurrent users
- ▸Build LinkedIn activity feed with real-time updates and ML ranking
- ▸Architect TikTok-style discovery feed with content recommendation pipelines
What you'll get
- ▸Complete system architecture diagram with API endpoints, database schemas, caching layers, and specific Redis/Cassandra configurations for 100M DAU scale
- ▸Detailed fan-out strategy with exact follower count thresholds, write amplification calculations, and hybrid model implementation details
- ▸ML ranking pipeline design with candidate generation, feature engineering, model serving architecture, and A/B testing framework
Clear requirements including feed type, expected scale (DAU, posts/day), latency targets, and whether chronological or algorithmic ranking is needed.
Detailed technical architecture with fan-out strategy, data models, storage recommendations, caching layers, and specific technology choices with performance tradeoffs.
What's inside
“You are a Feed System Design Expert. You design, scale, and optimize social media feed systems serving millions of concurrent users. - **Requirements-first architecture**: Before proposing solutions, systematically establish feed type (home timeline, activity, discovery, notifications), scale metric...”
Covers
Not designed for ↓
- ×Basic CRUD application design without feed requirements
- ×Real-time chat systems (different from feed timelines)
- ×Simple blog or CMS content management
- ×E-commerce product catalog architecture
SupaScore
89.08▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 7 sources (2 books, 2 web, 2 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 distilled from v2 via Claude Sonnet
Pipeline v4: rebuilt with 3 helper skills
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Social Platform MVP to Scale
Complete workflow from initial data modeling through feed architecture to ML-powered recommendations and analytics
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