Just in time for the holidays, GrowthBook's latest release of its open-source experimentation platform introduces several highly requested features and significant performance enhancements, including a reduction in SQL queries by half, with remaining queries becoming up to 10 times more efficient. Key updates include the ability to set and track North Star metrics, create ad-hoc experiment reports with customizable parameters and export capabilities to Jupyter notebooks, and the option to adjust experiment update frequencies. Additionally, users can now apply custom metric aggregations, enhancing flexibility for various use cases. Other improvements include enhanced metric query performance, support for SQL template variables, a cache layer for faster queries, and automatic CDN invalidation for experiment changes on GrowthBook Cloud, along with numerous enhancements and bug fixes.