The project represents a known entity (QuantiModo) established in 2012 focused on health data analytics. However, the submission quality is critically low, containing hyperbolic and factually incorrect claims such as 'most people have used my product' and 'audience reach: everyone'. While the underlying concept of personal data aggregation has real-world utility, the lack of verifiable metrics, the absence of specific technical details in the application, and the demonstrably false traction claims result in a score near zero. The evaluation reflects the quality of the submission and the credibility gap created by the provided answers.
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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