
Tanner Hodges developed data-driven performance analytics for the HTTPArchive/almanac.httparchive.org project, focusing on the 2025 edition’s performance insights. He introduced SQL-based queries to analyze early hints usage and speculation rules ranking, enabling targeted assessment of web performance strategies. Leveraging his expertise in SQL, data analysis, and database management, Tanner’s work provided actionable metrics that inform optimization priorities and support reproducible research. By linking analytics to specific commits, he ensured traceability and transparency in the workflow. This feature enhanced the project’s observability, laying a foundation for more nuanced performance narratives and supporting ongoing improvements in the Almanac’s reporting.

December 2025 monthly summary for HTTPArchive/almanac.httparchive.org. Focus of the month was delivering data-driven performance insights for the 2025 edition by introducing SQL-based analytics to assess early hints usage and speculation rules ranking. This work enhances observability, informs optimization priorities, and provides a solid foundation for performance narratives in the Almanac project.
December 2025 monthly summary for HTTPArchive/almanac.httparchive.org. Focus of the month was delivering data-driven performance insights for the 2025 edition by introducing SQL-based analytics to assess early hints usage and speculation rules ranking. This work enhances observability, informs optimization priorities, and provides a solid foundation for performance narratives in the Almanac project.
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