Longhorn-Developers/UT-Marketplace

AI Summary: Implement caching mechanisms within the UT Austin Marketplace application to improve website performance. This likely involves integrating a caching library (like SWR or React Query) to manage data fetching from the Supabase backend for listings, user profiles, and messages. Consider caching strategies to balance freshness and performance, potentially using different TTLs (Time To Live) for various data types.

AI Summary: The task is to find a designer to improve the user interface and user experience (UI/UX) of the UT Austin marketplace web application. This involves collaborating with the designer to ensure the design aligns with the existing functionality and tech stack (Next.js, React, Tailwind CSS). The goal is to create a more visually appealing and user-friendly marketplace.