Social networks often decide what users see based mainly on popularity, engagement, or trends. Woope takes a different approach by focusing on relevance. Instead of showing the same content to everyone, Woope creates a personalized feed designed around each user’s interests, communities, connections, and interactions. The goal of the Woope Feed Algorithm is simple: help users discover content that is meaningful to them. Every post receives a relevance score that determines its position in the feed. This allows users to discover new creators, projects, discussions, and communities that match their interests. The foundation of Woope’s algorithm is interest matching. When users select their interests, Woope uses this information to understand what topics may be valuable for them. If a post is related to the user’s interests, it receives a higher priority in the feed. For example, a developer interested in JavaScript and Web Development is more likely to discover posts connected to these areas, while a designer may see more creative content. However, interests are only one part of the ranking system. Woope also considers the freshness of content. New posts receive additional priority because active communities need visibility for new ideas and conversations. The algorithm balances newer content with valuable existing posts to prevent the feed from becoming only a list of the latest updates. Another important factor is creator reputation. Woope considers signals such as Woopies, badges, and trust score to understand the contribution of each creator. Users who consistently provide valuable content and participate positively in the community can gain more visibility. Community interaction also plays an important role. Likes, comments, and discussions help the algorithm understand whether content creates meaningful engagement. Woope does not focus only on numbers, but also on the quality of interactions happening around each post. Connections between users are another important signal. Content from people you follow or communities you are part of can receive additional relevance because social connections create stronger relationships between users and content. The final feed ranking is created by combining multiple signals, including interest matching, content freshness, engagement, creator reputation, user connections, and community participation. Each post receives a dynamic score, and the feed is organized based on the relevance of that content for the individual user. Woope’s approach is designed to create a healthier discovery experience. Instead of forcing users to follow trends or only showing the most popular content, Woope helps people find communities, creators, and ideas that match who they are and what they want to explore. The Woope Feed Algorithm will continue to evolve with new improvements, including smarter recommendations, better community discovery, and more personalized ways to connect people with content they care about. Woope is building a social network where discovery is not controlled only by popularity. It is powered by interests, connections, and meaningful interactions.