Community Brain
Know each member in depth
Every member, understood from everywhere they already are, no manual input needed. What they are building, what they need, and what changed since you last spoke.
AI Member Intelligence & Matchmaking
End to end, from the way Universe learns your people to the moment one of them gets something worth their time.
Knows who you are
Professional + Personal data
Who to meet
For Collaboration or Leisure
When it matters
the right moment
What's worth your time
and when to be quiet
The Rooms that fit you
search or accept our suggestions
The Opportunities
that matter to you
Know each member in depth
Every member, understood from everywhere they already are, no manual input needed. What they are building, what they need, and what changed since you last spoke.
Understand your community at a glance
A real time view on what your people are seeking, interested about and working on. No survey, no forms, no waiting for the annual review. At your fingertips everyday, helping you serve them better.
What you do manually, at scale
The connections you would make yourself if you had the hours. Matched on genuine fit rather than keywords, and delivered at the right moment for the one receiving them.
Pick a theme and let the AI gather the people
Name a theme, location or interest. Universe assembles the right constellation from across your community and invites them in, enabling a privacy-first group conversation.
Surface events and investments your members can join
The opening, the raise, the event worth attending this year, put in front of the members it is actually for. Never a generic broadcast. Never an overwhelming amount of suggestions.
Find who needs to be in your community
Search every contact list you already own by theme or intent, and see who belongs inside your community but is not in it yet. Then invite them to join.
Integrations
Already run a community on WhatsApp, Slack, Circle or Mighty Networks? Universe sits on top of the tools you already use, adding member intelligence and warm introductions without relocating a single member.
Integrates with
Communicates through
Case Studies
Bespoke Private ClubsUnder 100 members
You do not have a discovery problem. You have a memory problem, and it belongs to whoever runs the community.
Two clubs came for matchmaking. Both found the thing they needed in the Community Brain instead.
A members' club running curated dinners across several cities. A community built around shared physical challenges, whose members bond on expeditions and then scatter.
The club brought a third of its membership in for a two-week test and decided not to continue: at its size, nothing was being surfaced that its members did not already know. The second never got as far as a rollout. Once its leadership saw both layers side by side, the whole conversation moved to the one members never see.
In both, the person running the club could still name every member. That is the test, and it is a better one than any membership number. Where a leader can still do that, there is nothing left to discover. And a club that convenes often enough is already making the introductions itself, better than software would.
What both clubs were actually describing was a different problem. Not who should meet whom, but: I can no longer hold what is going on with each of them. Who is between raises. Who just moved. Who said something six months ago that matters this week. One of them put it as plainly as it can be put. We just need to know them.
That problem sits with whoever runs the club, not with its members, and it gets harder as the membership grows rather than easier. It is also the one worth solving at this size.
If your club is here, the useful question is not who should meet whom. It is what your team can no longer hold in their heads.
Founder Networks with Multi-city Cohorts100 to 1,000 members
Members will accept almost every introduction they actually see. Everything rests on whether they see it.
More than nine in ten introductions that reached a member were accepted. Reach is where the work is.
A founders network running parallel local groups in different countries. A retreat organisation with cohorts stretching back several years, spread across continents. Between them, the clearest picture we have of what happens at this size.
Where members engaged, the introductions landed. About half of accepted connections produced a real conversation in the first weeks. Across the full period, counting only member-to-member activity, just under a third did.
Of the members who responded to an introduction at all, more than nine in ten accepted it. Almost nobody said no. Roughly four in ten of the people given accounts ever signed in. Eighty-seven percent of introductions expired without any response. Not declined. Never opened.
Two more patterns are worth knowing before you plan your own rollout. The in-person launch week produced ten times the activity of any other week, and around eight in ten of the members who ever became active came in around it. And the ten most engaged members generated about two thirds of everything that happened, which is normal at this stage and worth expecting rather than being alarmed by.
At this size the matching works. What decides the outcome is whether your members are somewhere you can actually reach.
Online MembershipsOver 1,000 members
Let people choose to come in. The ones who do behave roughly twice as well as the ones who were added.
When members choose to come in, engagement roughly doubles.
A large international business community, several thousand members, which opened a space around its annual gathering that members could enter if they wanted to. An invitation-only online membership of individuals across time zones, who join one at a time. In neither was anybody added to a list.
Roughly six in ten members used search, against about one in four in a comparable first week where members had been added rather than opting in. Just under six in ten accepted connections became real conversations, and not one request was declined.
In the online membership, people become active within hours of a single conversation, without a rollout or a pilot. Introductions arrive continuously, because there is no annual moment for them to cluster around.
The difference in both cases is that membership was chosen. Self-selection is doing real work in those numbers, and it is worth saying so rather than letting you read them as what a whole list would do. It is also the point at this scale: you will not activate everybody and you do not need to. A fraction of a large membership is still a great many people.
About six in ten connections in the larger community were started by a single administrator. That looks like health for roughly a month. A membership this size cannot be carried by one person. Where it is, the numbers are measuring that person's energy rather than the community's, and they fall when their attention moves.
Ready?
We onboard your people once. Everything after that runs on its own, and grows with you.