Abstractive Health is a legitimate, high-potential seed-stage startup spun out of Cornell Tech with NSF funding and recognized founders (Forbes 30 Under 30). However, the project submission itself was of extremely low quality, containing false claims ('most people have used my product') and inaccurate audience data ('everyone'). The score reflects the strong external reality of the technology and institutional traction (pilots with NYP/Cornell), heavily penalized by the poor quality of the input data.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline