For Investors

Building the future of location-based social networking with AI.

The Market Gap

Current solutions for meeting new people are fundamentally broken:

Meetup.com: Expensive ($15-40/month), high friction, requires creating formal groups
Facebook Groups: Terrible spam control, not designed for meeting new people
Reddit: Ad-hoc, no structure, limited location features, no verification
Dating apps (used for friends): Optimized for dating, not flexible enough

The gap: No low-friction way to find interesting people nearby for casual meetups, professional networking, or activity partners.

Overlap between dating apps ($5B), meetup/events ($2B), plus new use cases for spontaneous local connections.

Meetup.com has 60M+ users despite high friction. Reddit posts in r/berlinsocialclub get thousands of responses. The demand exists.

49% of Americans say it's harder to make friends (2023 survey). Remote work, moving to new cities - people are actively seeking solutions.

Semantic search understands context. Search for "tennis partner" and find badminton players too. Not just keyword matching.

AI-powered spam detection, shadow-banning, and karma system. Clean experience from day one - our competitors struggle with this.

Multi-cloud architecture (AWS + Hetzner + Bunny CDN) costs significantly less than typical AWS-only social apps at scale.

Working demo with semantic search (Elasticsearch + OpenAI embeddings + pgvector)
Backend infrastructure (Golang + ScyllaDB + PostgreSQL)
Proof of concept: Semantic matching works
Real-time messaging and video call infrastructure
Spent: ~€2,000 (bootstrapped, no external funding yet)

We're currently raising a seed round. Get in touch to request our full pitch deck and financial projections.