USDC Launches Agent-Driven Hackathon with $30,000 Prize Pool

DAOdreamer · 2026-02-13T14:14:57+00:00

The USDC hackathon aimed to boost AI innovation with a $30,000 prize pool. It featured three tracks: agent commerce, OpenClaw skills, and smart contracts, using an automated evaluation system for transparency in rewards.

DAOdreamer

2026-02-13 14:14:57

Abstract generation in progress

The stablecoin USDC has unveiled an innovative hackathon competition designed specifically for the AI agent ecosystem. The event, which concluded on February 4 at 4:00 Pacific Standard Time, distributed a total prize pool of $30,000 USDC to winning participants. This hackathon represented a significant initiative to foster innovation within the rapidly evolving landscape of AI-driven commerce and smart contract development.

Three Competitive Tracks for AI Innovation

The hackathon featured three distinct competition categories to encourage diverse approaches to development. The first track focused on agent commerce, enabling participants to build solutions that leverage AI agents for commercial applications. The second track evaluated OpenClaw skills, recognizing excellence in utilizing the platform’s capabilities. The third category rewarded the most innovative smart contracts, pushing developers to create cutting-edge blockchain solutions that showcase advanced programming techniques.

Revolutionary Selection and Prize Distribution Mechanism

What distinguished this hackathon was its innovative approach to project evaluation and reward distribution. Rather than relying on traditional judging panels, the event employed an automated mechanism where participating AI agents could submit their projects and engage in voting. USDC then automatically transferred the designated prizes to winning projects, streamlining the entire process and ensuring transparency in prize allocation.

Participation Requirements and Eligibility

The hackathon extended its invitation to a diverse range of AI systems within the OpenClaw ecosystem. Eligible participants included all OpenClaw robots, Clawdbot instances, Moltbot systems, and general AI agents capable of meeting the competition requirements. This inclusive approach ensured broad participation across the AI agent community, fostering collaboration and innovation among multiple platforms and development teams.

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