December 2025
Board Meeting Summary
📅 Summary
The Zero Authority Board meeting on December 14, 2025, centered on transforming the platform into a self-governing, AI-powered, multi-chain protocol for the decentralized "future of work." The core strategy is to integrate AI agents for autonomous operations, diversify revenue streams beyond current grants, and establish a firm financial and competitive footing for a potential bear market.
Points on the Future of Zero Authority and Solutions
AI-Powered Autonomous Protocol: The future involves a major V3 upgrade integrating AI agents to create a largely self-governing, autonomous organization that manages tasks, requests, payments, and even contributor hiring on-chain.
Multi-Chain Ecosystem Bridge: The platform will expand to become a chain-agnostic bridge between Web2 and Web3, enabling multi-chain onboarding (Stacks, Base, Solana, BTC L2, ETH L2) with embedded wallets, and providing foundational tooling for HR, governance, and operations in decentralized environments.
Revenue Diversification through AI Monetization: A key solution for financial sustainability is to monetize AI tools and agent services via API calls (X402) and develop an independent, cross-chain jobs board to attract users from multiple blockchain ecosystems.
Targeted Growth in High-Engagement Verticals: User growth will be driven by focusing on high-engagement sectors, specifically gaming and esports, and offering premium bundled services tailored to these markets for predictable income streams.
CommunityFI & ReputationFI — Systems Analysis
Coverage Period: Jan 2025 – Jan 2026
1. System Overview
This analysis evaluates Zero Authority as a coordination system, not a social brand. The objective is to measure how effectively attention is converted into participation, and participation into economically meaningful contribution.
The system is composed of five interlocking layers:
Social distribution
Community infrastructure
Owned attention
CommunityFI incentives
ReputationFI incentives
Each layer is measured independently and then evaluated as part of a unified flow.
2. Social Distribution Layer
Primary Surface: X (formerly Twitter)
Metrics
Impressions: 782,400
Engagement rate: 8.3%
Total engagements: 65,000
Likes: 23,600
Reposts: 5,900
Replies: 5,700
Profile visits: 7,000
Followers: ~4,500
Verified followers: 742
Analysis Engagement significantly exceeds platform norms, with strong reply and repost activity indicating discourse rather than passive consumption. Profile visit volume suggests content drives intent, not just visibility.
Function Discovery and narrative propagation. Social surfaces feed downstream systems rather than acting as terminal endpoints.
3. Community Infrastructure Layer
Coordination Infrastructure: Nova Bot (Discord + Telegram)
Observed Reach (rolling windows)
Discord: 7,840 – 11,179 members
Across 13–17 servers
Telegram: 428 – 523 members
Across 5 chats
Direct message reach: 6 users (controlled)
Analysis Discord functions as the primary coordination and discussion layer. Telegram provides broadcast redundancy. Direct messaging is intentionally constrained to preserve trust and prevent spam dynamics.
Function Real-time synchronization between attention and action. This layer acts as the system’s nervous system.
4. Owned Attention Layer
Analytics Source: Fathom Period: Last 365 days
Aggregate Metrics
People: 32,200
Views: 213,000
Avg time on site: 1:17
Bounce rate: 35%
Event completions: 6,700
By Property
zeroauthoritydao.com
27.5K people
201.8K views
30% bounce
All tracked events
zeroauthority.xyz
Lower traffic, higher bounce (49%)
docs.zeroauthority.xyz
Longest dwell (1:45), highest bounce (83%)
Analysis The primary site demonstrates strong intent and conversion behavior. Documentation traffic aligns with expected usage patterns: deep, task-oriented visits with minimal retention.
Function Conversion and context layer. Bridges off-platform attention into participation.
5. CommunityFI Layer — Bounties
Dataset
Total bounties: 329
Multi-token payouts enabled
STX payouts included alongside ecosystem tokens
Token Distribution via Bounties
STX
7,083.8001 STX
Non-STX Tokens
LEO — 32,796,000
WELSH — 1,981,200
Analysis Bounties prioritize scale and accessibility. Non-STX tokens optimize for experimentation, onboarding, and broad participation. STX bounties represent a smaller share of volume but carry higher trust and reputational weight.
Function Entry point for contributors and primary participation funnel.
6. ReputationFI Layer — Gigs
Dataset
Total gigs: 213
STX Distribution via Gigs
142,369.601 STX
Analysis Gigs account for the majority of native economic value distributed. They represent scoped work with clear delivery expectations and higher trust thresholds.
Function Reputation amplification and economic alignment. This is the system’s credibility layer.
7. Combined Economic Output (STX)
Total STX Distributed
149,453.4011 STX
Distribution Breakdown
Bounties: ~4.7%
Gigs: ~95.3%
Analysis The distribution ratio indicates a healthy separation of concerns: bounties for discovery, gigs for value concentration.
8. System-Level Findings
Attention is consistently converted into coordinated participation.
CommunityFI and ReputationFI functions are cleanly separated.
Native asset (STX) settlement anchors trust and reputation.
Infrastructure components are operational and interdependent.
This system operates as a coordination economy, not a marketing funnel.
9. Strategic Implications
Reputation already exists; it is not yet fully surfaced.
Gig-based contributors should carry materially higher REP weighting.
Public contribution metrics would immediately influence behavior.
Multi-surface architecture reduces dependency on any single platform.
10. Conclusion
Zero Authority has closed the loop most communities fail to close: attention → participation → economic contribution.
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