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An Empirical Study on Snapshot DAOs
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abstract
Decentralized Autonomous Organization (DAO) is an organization constructed by automatically executed rules such as via smart contracts, holding features of the permissionless committee, transparent proposals, and fair contribution by stakeholders. As of Nov 2022, DAO has impacted over \$11.2B market caps. However, there are no substantial studies focused on this emerging field. To fill the gap, we start from the ground truth by empirically studying the breadth and depth of the DAO markets in mainstream public chain ecosystems in this paper. We dive into the most widely adoptable DAO launchpad, \textit{Snapshot}, which covers 95\% in the wild DAO projects for data collection and analysis. By integrating extensive enrolled DAOs and corresponding data measurements, we explore statistical data from Snapshot and try to demystify its undiscovered truths by delivering a series of summarised insights. We also present DAO status, patterns, distribution, and trends. To our knowledge, this is the first empirical study putting concentration on DAO spaces.
Forward citations
Cited by 2 Pith papers
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Voting Biases in Decentralized Autonomous Organization (DAO) Governance
Author-selected Snapshot choices show a 58.8 pp higher voting-power share than non-author choices, exceeding approval (27.1 pp) and first-list (7.7 pp) associations.
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Democracy for DAOs: An Empirical Study of Decentralized Governance and Dynamic (Case Study Internet Computer SNS Ecosystem)
SNS DAOs on the Internet Computer maintained or increased voter participation and approval over 20 months, averaging 64% participation and 96.8% approval across 14 DAOs.
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