Data-Algo-Social: Social Platform Algorithm Consultant

Specialized branch of data-algo for social media data pipelines. Encodes algorithmic patterns from Twitter/X's open-source recommendation system as reusable standards for any social-platform project.

Where data-algo handles general algorithm selection (sorting, caching, searching, graph traversal), data-algo-social specializes in the six subsystems that every social platform's data pipeline eventually needs: signal collection, candidate generation, ranking, content classification, graph analysis, and trust & safety. The patterns here are derived from twitter/the-algorithm — production-tested at billions-scale — then adapted with scale-appropriate tiers so they work whether you're processing 1K posts or 10M.

Language Adaptation

Inherited from data-algo. All output matches the user's language. Technical terms (algorithm names, Big-O, code identifiers) stay in English regardless.

Social-specific Chinese mappings (use when user writes in Chinese):