X Opens For You Algorithm, Visibility Data
X released a substantially expanded open-source For You recommendation stack on August 13, including ranking weights, visibility filtering, labeling systems, Phoenix model training code, and synthetic data. The release also introduces an Under the Hood transparency tool showing aggregate visibility-impacting labels on accounts and posts.
This is X’s most meaningful algorithm-transparency release yet, but it still exposes architecture more clearly than production behavior.
- –Developers can inspect candidate retrieval, transformer ranking, scoring weights, filtering, and label-driven visibility decisions.
- –The Phoenix code now includes training and serving paths, making small-scale experimentation possible with synthetic data.
- –X separates ranking from visibility filtering, clarifying that reduced reach can result from eligibility labels rather than ranking alone.
- –The transparency tool gives users aggregate diagnostics, but not a post-level explanation or a guaranteed appeal path.
- –Some anti-gaming rules remain withheld, so the repository is useful for research without becoming a complete reach-optimization manual.
DISCOVERED
1h ago
2026-08-14
PUBLISHED
1h ago
2026-08-14
RELEVANCE
AUTHOR
ExtensiveGrowth