
Developed a Raw Search capability for the YggTorrent indexer within the Jackett/Jackett repository, enabling users to perform advanced queries and access broader search results. This feature was implemented using C# and focused on backend development and API integration, adhering closely to the repository’s contribution standards and integration patterns. The work involved careful collaboration through Git-based workflows, with disciplined code contributions and traceable pull requests. By expanding the indexer’s search precision and coverage, the enhancement improved user satisfaction and increased the potential for wider client adoption, while maintaining a clean, bug-free release throughout the development period.
February 2026 — Jackett/Jackett: Delivered a new Raw Search capability for the YggTorrent indexer, enabling advanced user queries and broader search coverage. This feature improves search precision and reduces time-to-result for power users. No major bugs reported this month. Overall, the enhancement expands YggTorrent integration capabilities, enhances user satisfaction, and broadens client adoption potential. Technologies/skills demonstrated include feature-driven development, Git-based collaboration, and careful integration with the indexer architecture while adhering to repository contribution standards.
February 2026 — Jackett/Jackett: Delivered a new Raw Search capability for the YggTorrent indexer, enabling advanced user queries and broader search coverage. This feature improves search precision and reduces time-to-result for power users. No major bugs reported this month. Overall, the enhancement expands YggTorrent integration capabilities, enhances user satisfaction, and broadens client adoption potential. Technologies/skills demonstrated include feature-driven development, Git-based collaboration, and careful integration with the indexer architecture while adhering to repository contribution standards.

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