Worked on enhancing post ranking algorithms for the LemmyNet/lemmy repository by implementing a feature that recalculates scores based on total monthly interactions. This involved refactoring the existing scaled_rank logic to use monthly interaction counts as the denominator, ensuring rankings reflect current user activity. The approach required backend development in Rust and SQL, including the creation of a new SQL aggregation function to support monthly metrics and the addition of an interactions_month column to the database schema. These changes enabled more accurate measurement of engagement, improved content discoverability, and laid the groundwork for future analytics on monthly user interactions.