CommonAR

Point the camera at the people in front of you and CommonAR floats their profile, photo, and social handles over them. Flip the lens inward for a selfie-style scan with someone you just met, or sweep the room to see who is around. It turns a room full of strangers into a set of named faces.

For each person you meet, the app compares both profiles and suggests what you have in common. That's the part that decides whether a conversation is worth starting, so the AI compatibility matching only fires for people actually near you, not a national directory. The matches lean on the theme the host set for the event.

Every scan lands in your contacts with the socials the person chose to share. You don't have to remember a name or dig through a photo roll after the event. This contact management is built for the follow-up, which is where most networking value is actually lost.

Hosts create an event on the web and share a link or email invite. Guests who accept become the only people who can be seen inside that event, which keeps the room closed. A Chrome extension also pulls guest lists from Luma so you don't retype a spreadsheet.

AR access opens for accepted attendees only, and only at the event's location during the event window. It closes afterward. This is the core privacy design: the camera can recognize just the people who opted into the same event you did. Data is shared with fellow attendees and the developer states it is not sold to third parties.

Each profile carries the social accounts and links a person chooses to show, pulled together in one place on a scan. Instead of swapping handles one by one, a single scan hands you their LinkedIn, X, and whatever else they included.