Pinterest aimed to improve holiday gift shopping by addressing discovery overwhelm and fragmented wishlists. They leveraged their existing Homefeed architecture, adding gift-specific optimizations for candidate generation, ranking, and blending. A key innovation was the automatic generation of shoppable wishlists to streamline the saving experience. A new Structured Feed Framework facilitated rapid UI iteration across platforms while maintaining performance. They implemented a two-phase tab ranking strategy to introduce the new shopping surface effectively. Comprehensive logging was added to track user engagement with gift content, extending existing analytics infrastructure. Holiday Finds improved wishlist engagement and attracted Gen Z users. The project validated the adaptability of the Structured Feed Framework and the effectiveness of their ranking strategy. Future work includes evolving tab ranking, enhancing the shopping experience, and innovating the platform.