Reach.
A mobile events platform with an AI matching engine — the app learns what a user actually enjoys and surfaces better events over time.
Consumer / Events
Intelligent application
React Native · TypeScript · Supabase · AI matching engine · Push notifications · Canadian hosting
In production
The problem
Event discovery is typically keyword search over a calendar database. Users scroll through lists of events that match a category but not their actual preferences. The result is low engagement, high churn, and a platform that feels generic regardless of how many events it lists.
What was engineered
Learning preference model
Every interaction — attendance, saves, skips, dwell time — feeds a preference model that refines recommendations across event types, venues, timing, and social context.
Personal without configuration
The matching improves with use, and the experience becomes personal without requiring the user to configure anything.
Native mobile with real-time ingestion
The platform ships as a native mobile application with real-time event ingestion, push-based recommendation delivery, and an operator dashboard for event organizers.
Why it matters
The platform ships as a native mobile application with real-time event ingestion, push-based recommendation delivery, and an operator dashboard for event organizers to understand audience composition.
Stack
All work has been anonymized to protect clients.
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