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DAO Predict

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A digital clone-powered voting prediction system for Decentralized Autonomous Organizations (DAOs), simulating governance outcomes before proposals go live.

Jianda Mao, Kani Chen
digital clonegovernancepredictionDAO
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How It Works

1

On-chain Data

Collect historical voting records, token holdings, and proposal metadata from DAO governance contracts.

2

Clone Builder

Construct digital clones for each voter by modeling their behavioral patterns and governance preferences.

3

Vote Simulator

Run simulated votes on new proposals using all cloned voter profiles with token-weighted aggregation.

4

Prediction

Output the predicted voting outcome, participation rate, and confidence score before real voting begins.

Live Preview

https://www.voteprediction.xyz/

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Tech Stack

PythonBlockchainLLMOn-chain Data

Overview

DAO Predict applies digital clone technology to the domain of decentralized governance. In DAOs, governance decisions are made through proposals that members vote on, with voting power weighted by token holdings. Predicting the outcome of these proposals before voting concludes — or even before voting begins — is a valuable but challenging task.

Our system constructs a digital clone for each DAO participant by learning from their historical voting behavior, token holdings, and governance preferences. These clones are then used to simulate votes on new proposals, providing a predicted outcome before the real vote takes place.

Key Features

  • ✓ Voter behavior modeling from on-chain governance history
  • ✓ Token-weighted vote simulation matching real DAO mechanics
  • ✓ Pre-vote outcome prediction for new proposals
  • ✓ Support for major DAO governance frameworks

    • Use Cases

  • ✓ Proposal authors can gauge community sentiment before formally submitting a proposal
  • ✓ Token holders can understand likely outcomes to inform their own voting decisions
  • ✓ Governance researchers can analyze voting dynamics and power distributions across DAOs