Community

Train with people, not at them.

ZYM's social layer is small by design — a tight circle, a map of people nearby, and one short challenge a day. No follower counts. No likes farm.

ZYM Nearby — find people training around you
How it works

Four pieces. That's the whole social layer.

01

A friend graph that makes sense

Add the people you already train with, search by username, or scan QR. Your circle stays small on purpose — this isn't a follower count.

02

People nearby, on a map

Open Nearby to see who's training within a few kilometers. Send a request, plan a session, or just say hi. Location sharing is opt-in and short-lived.

03

A daily challenge

One short prompt a day, dropped fresh — a movement, a meal swap, a recovery cue. Everyone in your circle sees who showed up.

04

Posts that count

Check-ins, photos, PRs, and notes — posted into a calmer feed that exists for accountability, not for likes. Comments default to people you actually know.

Principles

What ZYM's community isn't.

We picked a few constraints up front and we plan to hold them.

01
Quiet
No infinite scroll. No engagement bait. The feed ends.
02
Opt-in
Nearby, sharing, and notifications are all off by default.
03
Local
Your circle is the unit. Strangers are an invitation, not a default.
04
Coached
Your AI coach is always in the loop — privately, on your side.
What's next

In the lab right now.

Team challenges. Pull a small group into a shared 7- or 30-day arc — a movement habit, a hydration target, a sleep window. The coach acts as the scorekeeper.

Local meetups. Use Nearby to plan an actual session at a real place — gym, park, climbing wall. Light coordination, no group-chat fatigue.

Coach-to-coach handoff. Switching between ZJ and LC mid-day, with full continuity. Your social posts stay the same; the voice in your DMs adapts.

Join the circle

Bring two friends. Watch what changes.

Open the app