Search result of RANKER

X (formerly Twitter) has released the source code for its latest recommendation algorithm, offering a comprehensive look at the platform's content ranking logic and interaction weighting mechanisms for the first time. This article provides a technical breakdown of how likes lose value over time, how conversations are priced, and how negative feedback is penalized at the code level. It also outlines practical traffic optimization strategies for creators.