What I Did
In Week 3 , I advanced the Auto-Attest Data Framework to enhance Raid OS contribution tracking and payouts, maximize researcher throughput and TVF. I found that inconsistent builder governance terms cause 25% researcher drop-offs, limiting throughput, and unclear data reduces TVF by misaligning funders. I outlined features for the ARQ Track Farcaster Mini App using Gitcoin’s ecological analogies to model raids as living systems and Regen Network’s semantic mapping to define terms like “contribution,” enabling automated tracking and payouts. This work reduces coordination friction and boosts funder trust, aligning with Ethereum goals.
Features Outlined in Week 3:
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Semantic Mapping: Standardizes terms (e.g., “contribution” = logged update, “payout” = attested payment) to align raid roles, inspired by Regen Network.
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Ecological Model: Views contributions as nutrient flows and attestations as growth signals, reducing friction in builder coordination, per Gitcoin’s analogies.
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Metrics Dashboard: Displays contribution counts and TVF estimates to attract funders.
Impact: Targets 10–15 artifacts/week (vs. baseline 5) and scalable collaboration across chains.
Challenges I faced
- Varied thread terminology slowed analysis.
- Limited to 8 threads
Week 4 Plan
- Refine ARQ Track Mini App features
- Plan Signal Beacon poll: “What Mini App features best support tracking?”
- Plan Prompt Fragment on ecological analogies for Raid OS.