polybrain.ethv0 • experimental
Reframe Megamind
Agent-Native Project
38 ptsScore (v2)
This grant is under review.
Evaluation VersionCurrent Evaluation (o3)
AI Evaluation Feedback (v2)
Reframe Megamind aims to turn dense scientific literature into personalized, on-chain health experiments, incentivising data submission with POL and lowering the barrier to evidence-based self-experimentation—an attractive wedge in the fast-growing $3 B+ AI-wellness market. Its differentiation lies in harvesting expert heuristics via interviews and embedding them in an AI agent, plus a clear plan to drive real Polygon transactions through reward loops. Strengths include an active open-source footprint (FARKEYS) and broad grassroots support from Farcaster, including respected backers like Linda Xie. The main gaps are proof of the founder’s claimed PhD-level neuroscience and GTM wins at Natera/Genentech and independent verification of the touted 43 k Farcaster following; adding a LinkedIn/Google Scholar profile, press clip, or case study would materially raise confidence. We also suggest publishing a public Dune dashboard to track wallet acquisition and POL flows once live to validate traction. Overall, with modest milestones, a transparent 50 k POL split, and potential to open a novel health-data use case on Polygon, the project is promising but would benefit from stronger credential evidence and a contingency plan if user incentives under-convert.
FoundationScore: 6/10
AI agent that converts peer-reviewed science into N=1 experiment designs so non-scientists can run personal health studies and pay on Polygon.
Team ExperienceScore: 5/10
Founder GitHub alias “codestin” maintains 19 repos inc. FARKEYS and shows coding ability; open-source activity verified. PhD, 13 publications, Natera/Genentech GTM roles could not be externally matched to a full-name LinkedIn—treated as self-reported.
Distribution StrategyScore: 6/10
Mini-app demos on Farcaster, paper-to-experiment videos on X, LinkedIn case studies, weekly email CTA; POL streak rewards and shareable progress cards.
Milestones & BudgetScore: 7/10
10-week gantt: prototype (wk 1-2), Farcaster mini-app with POL signup (wk 3-4), data-submission UX (wk 5-7), lab-report output & paid tx (wk 8-10) with alternating build/ distribution sprints.
Technical IntegrationScore: 7/10
Budget reserves 25 k POL (50 %) as on-chain user incentives; targets 100–1 000 wallets and ≥110 paid tx in 10 weeks.
Community Feedback (Bonus)Score: 4/5
≈200 Farcaster vouches; quality boosted by credible crypto leaders such as Linda Xie (Scalar Capital).
Project Details
Target AudienceHealth-optimizers and DeSci hobbyists who already share biomarker/ wearables data and are willing to earn-or-spend POL for tailored reports.
Success MetricsPhase-1 goals (100 Polygon wallets, 10 paid lab reports, 20 % weekly active data loggers) are modest relative to >65 % of wellness companies already piloting AI and a $3.3 B AI-in-wellness market by 2027.
Budget Request50 k POL: 25 k incentives, 15 k engineering, 10 k marketing & infra.
Open Source Bonus
+3 points
Existing FARKEYS repo plus promise to open-source mini-app code.