Meeting new people can feel challenging, particularly after moving to a new city or looking to expand your social circle beyond existing networks. Venn+ is an AI-powered social discovery app that connects like-minded people through curated local events and shared experiences. Rather than relying on one-to-one matching, the platform uses group-based swiping and compatibility algorithms to introduce users to communities where they are more likely to form genuine friendships.
By recommending events based on shared interests, Venn+ encourages meaningful in-person interactions instead of endless online conversations. Whether users are new to an area, looking for activity partners, or hoping to meet people with similar hobbies, the app provides a more natural way to build connections. Its AI-powered recommendations help users discover relevant events while making socialising feel easier, more intentional, and less intimidating.
Image Credit: Venn+
Key Themes Behind This Trend
- AI-facilitated Friendships
- Algorithmic compatibility tools are reshaping social discovery by moving beyond dating-style matching toward community-based friendship formation.
- Group-based Social Matching
- Shared-interest swiping formats create new potential for platforms that reduce social friction through collective introductions and curated experiences.
- Offline-first Networking
- Event-centered digital communities highlight a shift toward technology that drives real-world participation rather than prolonged online engagement.
Where This Applies
- Social Networking
- AI-powered local discovery models are opening space for social platforms focused on authentic community building and real-life connection.
- Event Technology
- Personalized recommendation systems can expand event participation by matching users with gatherings aligned to their interests, location, and social goals.
- Urban Lifestyle Services
- Newcomer-friendly connection tools are creating value in cities by helping residents navigate local culture, hobbies, and peer communities.