polybrain.ethv0 • experimental
Reframe Megamind
Agent-Native Project
46 ptsCurrent Score
This grant is under review.
AI Evaluation Feedback
Reframe Megamind presents a compelling solution to a real problem: making scientific research accessible and actionable for personal health. The project has a strong foundation, leveraging the founder's unique expertise in neuroscience and healthtech. The distribution strategy is solid, with a significant presence on Farcaster and clear plans for user engagement through POL incentives. The technical integration with Polygon is well-defined, focusing on driving transactions through data submission, user sign-ups, and report generation. The milestones are ambitious but structured, and the budget is appropriate. The open-source contribution is a positive signal. To further strengthen the application, gathering community vouches would be beneficial. Overall, a promising project with good potential.
FoundationScore: 10/10
Addresses the difficulty for average individuals to understand and apply scientific papers to personal health (N=1 studies) and navigate hidden complexities in research. The solution is Reframe Megamind, an AI agent that designs personal health experiments using implicit heuristics from scientists, derived from a novel training set built by interviewing experts.
Team ExperienceScore: 8/10
Led by Christin, a neuroscientist, healthtech marketer, and chaplain with coding skills. She will leverage her scientist network to gather unique data (implicit heuristics) for the AI's training set.
Distribution StrategyScore: 9/10
Leverage Farcaster (43k followers, mini-apps), Twitter (1.3k followers), LinkedIn (500 connections), a mailing list (1k subscribers), and in-person conferences/networking. LinkedIn write-ups, weekly email digest, daily Farcaster mini-app demos, Twitter “thread-to-video” series.
Milestones & BudgetScore: 9/10
10-week plan: - Ongoing: Scientist interviews, update heuristics dataset. - Wk 1-2: Prototype & mini-app for paper URL input. - Wk 3-4: Farcaster mini-app with POL tx for sign-up/paper submission. - Wk 5-7: UX for POL data submission. - Wk 8-10: Lab report output with POL tx. Each 2-week cycle includes 1 week building, 1 week distribution.
Project Details
Target AudienceAverage individuals interested in designing and conducting personal health experiments based on scientific literature.
Success Metrics- Phase 1 - 10 scientist chats → 50 heuristics - 100 Polygon wallets interacted - 20% actives log ≥ 3 data pts/wk - 10 lab reports with POL tx - Phase 2 - 50 scientist chats → 250 heuristics - 1000 Polygon wallets interacted - 50% actives log ≥ 3 data pts/wk - 100 lab reports with POL tx
Budget Request50,000 POL
Open Source Bonus
+1 points
Provided an open-source contribution: FARKEYS, a Farcaster Key management tool, available at https://github.com/codestin/FARKEYS.