Maven — Interest-driven Social Network
Maven is a social media platform designed to detox from influencer-driven feeds by connecting people through shared interests. The app emphasizes thoughtful, meaningful conversations, serendipitous discoveries, and a borderless community where posts are linked to overlapping interests rather than follower counts or trending topics.
Key idea
- Built to prioritize interests over likes/follows, enabling users to build an interest graph and discover relevant people and ideas.
- Focus on serendipity and thoughtful discourse rather than popularity metrics.
- Aims to reduce online discourse noise by connecting users with overlapping curiosities.
How it works (high level)
- Users build an interest profile and discover others who share similar topics.
- Posts and replies are surfaced based on shared interests, not popularity signals.
- The platform emphasizes AI-assisted clarity for exploring new topics and articulating thoughts.
- Communities form around subjects rather than follower networks, reducing gatekeeping and siloing.
Audience and use cases
- Investors, marketers, startup founders, software engineers, researchers, and anyone who wants to follow and engage around specific ideas rather than chasing trends.
- Teams and communities seeking meaningful conversations about niche topics without influencer-driven feeds.
How to use Maven (high level)
- Create and refine an interest profile.
- Explore posts and people connected by overlapping interests.
- Engage in thoughtful discussions, discover new communities, and follow topics rather than people.
Safety and ethos
- Maven promotes a borderless, interest-first discourse. Users should engage respectfully and contribute meaningfully to conversations.
- The platform emphasizes discovery without the noise of like/follower metrics.
Core Features
- Interest-based networking: connect with people who share your specific interests rather than chasing followers.
- Serendipity discovery: discover relevant ideas and communities without algorithmic bias toward popularity.
- AI-assisted clarity: leverage AI to help articulate thoughts and distill topics into clear messages.
- No follower-centric model: posts connect by interests, not by a follower count or influencer status.
- Global, borderless communities: conversations are not siloed by geography or a fixed network.
- Interest graph building: tools to map and expand your network around your subjects of curiosity.
- Democratic visibility: eligible posts circulate to users with overlapping interests, reducing gatekeeping.
- Privacy-forward design: emphasis on meaningful discourse with a focus on user-controlled visibility and intent.