community-feed

Cursor-based pagination enables infinite scroll feeds by tracking the last retrieved item position instead of offset values. This approach avoids performance issues when querying large social feed datasets.

A trending algorithm for a social feed in Python surfaces popular content by tracking engagement metrics like likes and follows. It ranks posts dynamically to deliver personalized content to users.

Engagement tracking for social feed posts records user likes and follows within a SQL schema. These interaction records feed into trending algorithms to surface the most engaging content first.

Python services with SQL schema handle efficient social feed database queries at scale through cursor-based navigation. This method avoids offset performance bottlenecks common in large post datasets.

Offset pagination slows infinite scroll feeds because the database scans and skips all preceding rows on each page request. Cursor-based navigation eliminates this by starting retrieval directly at the last cursor position.