Create a room by typing any code. Share the code with your group. They type the same code and connect. Peer-to-peer — no data leaves your browsers.
No decisions yet. Consensus must be detected — not forced.
FallConsensus is a sovereign governance tool that detects genuine alignment rather than counting votes. It runs entirely in your browser — no server stores your data, no company controls the outcome, no leader decides for the group.
Traditional governance asks: "How many people agree?" and accepts 51% as a mandate. FallConsensus asks: "Is the group genuinely aligned?" and only permits action when convergence is real, multi-dimensional, and stable.
Each participant opens this HTML file in their browser and joins the same room. Connections are peer-to-peer via WebRTC — your positions travel directly between browsers, never through a central server.
Any member can broadcast a proposal. It appears on every connected screen simultaneously.
Instead of yes/no, each person expresses their position across 7 dimensions:
This creates a 7-dimensional position vector — far richer than binary agreement. Two people can both "agree" but for completely different reasons, and this tool reveals that difference.
The system calculates cosine similarity between every pair of position vectors. Consensus requires ALL THREE conditions simultaneously:
When all three hold stable for 5 continuous seconds, consensus is declared. The decision is logged with full metadata: similarity score, participant count, variance, timestamp.
If the group isn't converged, the tool says: "Group not aligned. Keep discussing." No forcing. No deadline. No majority override. The decision happens when the group is ready — or it doesn't happen. Both outcomes are valid.
Each person's position is encoded as a bloom vector — a 7-dimensional signature derived from the prime spine {2, 3, 5, 7, 11, 13, 17}. The bloom vector maps human positions to mathematical topology, enabling precise similarity calculation without reducing complex positions to simple numbers.
Voting is lossy compression. It takes a complex human position and crushes it to a single bit: 1 or 0, yes or no. A person who's 90% aligned but worried about timing gets the same weight as someone who's 51% grudgingly accepting. A person with deep concerns about fairness is invisible if the majority overrides.
FallConsensus preserves the full bandwidth of each person's position. The similarity matrix shows exactly where alignment exists and where it doesn't. A group can see: "We all agree on alignment and fairness, but we're split on urgency and resources." That's actionable. A 6-4 vote tells you nothing.
Current DAO tooling (Snapshot, Tally, Aragon) counts tokens or addresses. Whale wallets dominate. FallConsensus weights alignment, not holdings. A 50-member DAO where 45 are genuinely converged is stronger than one where 3 whales outvote 47 members. Deploy as the decision layer before on-chain execution.
Worker co-ops need genuine consensus, not majority rule. A decision to take on debt, change direction, or admit new members affects everyone equally. FallConsensus ensures these decisions happen with real alignment, not grudging acceptance from the outvoted.
Governance of open source projects is notoriously difficult. Benevolent dictators burn out. Committees stall. Voting creates factions. FallConsensus lets maintainers and contributors express nuanced positions on RFCs, architectural decisions, and roadmap priorities. Merge when converged. Don't merge when not.
Should we build a community garden? Repaint the hall? Change the meeting time? These decisions don't need elections. They need alignment detection. FallConsensus runs on phones, needs no infrastructure, and produces decisions that feel legitimate because they ARE legitimate — nobody was outvoted.
Executive teams often make decisions by consensus-illusion: the loudest voice, the most senior person, the HiPPO (Highest Paid Person's Opinion). FallConsensus makes genuine alignment visible. If the board is split on risk comfort but aligned on strategy, the right action is to address the risk concerns specifically — not to "just decide."
Mediators can use FallConsensus to map where parties actually agree and where they diverge. Two sides in a dispute often agree on more dimensions than they realise. Making that visible changes the conversation from adversarial to diagnostic.
Teachers and facilitators can use FallConsensus to gauge genuine understanding and readiness in a group. "Should we move to the next topic?" becomes a multi-dimensional check: do you understand the material? do you feel confident? do you have questions? The answer reveals more than raised hands.
Distributed teams struggle with decision latency. FallConsensus can run asynchronously — members submit positions over hours or days, and the system detects convergence whenever it emerges. No meeting required. No time zone coordination. The decision crystallises when alignment appears.
FallConsensus is built on a simple observation: genuine alignment already exists in groups — it just isn't measured. Voting doesn't measure alignment. It measures willingness to pick a side under deadline pressure. Consensus processes (blocking, temperature checks, thumb votes) are closer, but they're still lossy.
The tool doesn't create consensus. It detects consensus. The difference matters. A mirror doesn't create your reflection — it reveals it. If the group isn't aligned, that's not a failure. It's information. "We're not ready to decide this" is one of the most valuable outputs a governance system can produce.
Most governance failures aren't caused by bad decisions. They're caused by premature decisions — acting before alignment is genuine. FallConsensus prevents premature action by making the absence of alignment visible and unignorable.
Convergence, not votes. Mirrors, not rulers. The river decides when it's still.
FallConsensus · Sovereign Mesh Governance · Single-File HTML
WebRTC P2P · 7-Dimension Bloom Vector · Cosine Similarity · Convergence Detection
No server. No leader. No majority rule. No data leaves your browser.
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