Bullseye AI
For gay men, attraction is often immediate and highly specific — but most apps make you hunt for it, forcing endless browsing to find your type. Bullseye flips that dynamic by learning who you're actually drawn to and surfacing similar profiles upfront. Instead of searching, the right people find you faster — making discovery feel more intuitive and aligned with how attraction actually works.
Context
Using AI, we can determine Archer users' ideal type. We know that users often have a specific "type" they find attractive. If we allow them to tell us what that type is, we can offer them better recommendations for who to connect with.
Problem
- Users often know what they're attracted to visually, but no apps make it easy to act on that.
- Users often have to swipe or browse through many profiles of people they know they're not interested in physically.
- There's no straightforward way for users to say, "show me more people like this."
Goal
- Improve discovery relevance and engagement through visual preference matching.
- Create an immediate product differentiator.
Impact
In development
Product Snapshots
