Round 1 Winners!
Proof of Usefulness Report

Thanzius

Analysis completed on 3/19/2026

+34
Proof of Usefulness Score
You're In Business

Thanzius aims to address a critical issue in maternal health equity using machine learning, presenting strong theoretical utility and market relevance. However, the submission is severely degraded by highly improbable assertions (claiming an audience of 'everyone' and that 'most people' have used the product) alongside a lack of verifiable technical details, accurate revenue figures, and user metrics. These red flags place it firmly in the minimal traction category.

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Score Breakdown

Real World Utility+20.0
Audience Reach Impact+3.0
Technical Innovation+4.5
Evidence Of Traction+1.25
Market Timing Relevance+7.0
Functional Completeness+0.5
Subtotal+36.25
Usefulness Multiplierx0.95
Final Score+34

Project Details

Project URL
Description
A digital health company focused on maternal health outcomes & equity. Thanzius is developing software that helps clinicians identify who will develop hypertensive disorders during pregnancy before symptoms appear. We're advancing maternal health equity with machine learning tools accessible to all prenatal care providers, even in rural settings.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

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