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Software EngineeringEngineeringPlatinum

Designing scalable social media feed systems.

Feed System Design Expert

Distributed Systems, Redis, Kafka

expertv5.0

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
Expects

Clear requirements including feed type, expected scale (DAU, posts/day), latency targets, and whether chronological or algorithmic ranking is needed.

Returns

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

What You Do DifferentlyMethodologyWatch For
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
Research Quality (15%)
9.1
Prompt Engineering (25%)
9
Practical Utility (15%)
8.65
Completeness (10%)
8.85
User Satisfaction (20%)
8.95
Decision Usefulness (15%)
8.8

Evidence Policy

Standard: no explicit evidence policy.

feed-systemtimeline-architecturefan-outdistributed-systemsranking-algorithmsystem-designreal-timeevent-pipelinepaginationsocial-mediascalabilityrediskafka

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

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/22/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/16/2026

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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