The tool for collective self-determination.
Unity Chant is a decision-making platform that helps communities turn hundreds or millions of ideas into one trusted priority. People submit ideas, discuss trade-offs in small groups, and advance the strongest proposals through multiple rounds until a clear community priority emerges. It is designed for cities, institutions, and communities that need more than a survey. They need a collective mirror that people understand, trust, and helped shape.
The Journey.
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Think about the best discussions you've ever had. They weren't in a stadium or a comment section. They were around a table, with a few people who actually listened — and you discovered you agreed on more than you expected.
Unity Chant scales that moment. Instead of putting everyone in one noisy room, we create thousands of those conversations in parallel. Each one uncovers a small piece of hidden consensus. Connected together, they reveal the whole.
Nobody knows the answer in advance. The process finds it.
The current technical model uses small cells of about five people, where ideas are reviewed in batches, scored, and advanced round by round. In the example from the technical paper, 50,000 ideas can narrow to one priority in roughly seven rounds, with each round happening in parallel rather than sequentially across the whole population. This is the opposite of the United Nations where one person talks at a time.
The community contributes possible solutions, priorities, or proposals.
Participants are placed into small cells where everyone has space to speak, listen, and weigh trade-offs.
Each group evaluates a small batch of ideas. The strongest ideas move to the next round.
Surviving ideas face new groups and tougher comparison.
The final set is presented to the broader group, producing a clear shared priority.
People help generate the options, not just choose from a fixed list.
Participation is distributed across many small conversations.
Ideas must survive repeated evaluation by different groups.
It gives leaders a clearer, more legitimate picture of collective judgment.
The same process that finds consensus among 25 people can find it among 8 billion.
“Imagine asking a million people: what should we do? Not giving them options — letting them propose. Then watching as, through thousands of honest conversations, a single answer surfaces that nobody wrote but everyone recognizes. Not a majority outvoting a minority. A million people discovering they already agreed.”
What do we collectively agree on? Until now, there was no way to ask — and no way to trust the answer.