Your lineup is your love language

The gigs you RSVP to, the festivals you travel for, the weird Wednesday night events you show up to alone - that is who you are. And somewhere out there, someone else was at the same 50-capacity venue last month.

Try the demo

How it works for event people

Link your accounts. Eventbrite, Dice, Meetup, Resident Advisor, Skiddle - we pull your RSVP history, event types, and attendance patterns. Your ticket purchases stay private. Only lifestyle signals are shared.

Events are the most powerful cross-category signal in the algorithm:

A gig on Dice connects to your music taste on Spotify
A tech meetup on Meetup connects to your dev interests on GitHub
A beer festival on Eventbrite connects to your craft preferences on Untappd
A film screening connects to your viewing tastes on Letterboxd

Event platforms bridge the gap between digital taste and real-world behaviour. Attending an event is a stronger signal than streaming a song or starring a repo - it costs time, money, and effort.

Niche events are the strongest signal

Event size drives niche weight. A 50-person basement gig scores dramatically higher than a stadium show. A niche meetup for 20 people scores higher than a 5,000-person conference. The smaller and more specific the event, the more it says about who you are.

What gets scored

Shared events - actually attending the same event, especially small ones, is the highest-weight signal available

Event category overlap - gigs, tech meetups, comedy nights, art openings, food markets, beer festivals, film screenings

Attendance frequency - how often you go out, how consistently, and whether your cadence matches

Cross-category signals - a gig RSVP that matches a shared artist on Spotify amplifies both signals

Venue overlap - frequenting the same small venues suggests neighbourhood and scene alignment

Event diversity - do you go to one type of event or mix gigs, meetups, and markets? Lifestyle breadth

Willingness to travel - do you attend events only in your city or travel for the right lineup?

You were at the same gig

"You were both at the same 80-capacity venue in Northern Quarter last month. You share 3 niche event categories, your attendance frequency overlaps 76%, and your Dice history connects to 4 shared artists on Spotify."

Not "you both like going out." The actual event data.

The cross-category multiplier

Events are unique in the algorithm because they amplify signals from other data sources. If you both listen to the same niche artist on Spotify AND both attended their gig on Dice, the compatibility contribution is greater than the sum of the parts.

Real-world behaviour validates digital taste. Anyone can stream an artist. Going to their show at a 100-capacity venue on a Tuesday is commitment. The algorithm rewards that.

Integrations

Eventbrite

RSVP history, event types, categories, locations

Dice

Gig history, artist links, venue data

Meetup

Group memberships, RSVP history, event categories

Resident Advisor

Event attendance, artist follows, venue history

Skiddle

Ticket history, festival attendance, event types

All opt-in. All revocable. Your ticket purchases and locations are never shared - only the compatibility signals.

Affinity Atlas is in development

No matching is live yet. If you think event attendance should be the strongest dating signal - or you have opinions about how venue size should weight compatibility - get in touch.

Stay in the loop