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Feed System Design Expert

Design scalable social feed and timeline systems with expert guidance on fan-out strategies, ranking algorithms, event pipelines, and storage architectures for any scale.

Gold
v1.0.00 activationsSoftware EngineeringEngineeringexpert

SupaScore

84.4
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.5
User Satisfaction (20%)
8.2
Decision Usefulness (15%)
8.5

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
  • Design notification feed system with batching and priority queuing

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
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
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.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

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

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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