Proof of Usefulness Report

FetalFirst

Analysis completed on 1/25/2026

+12
Proof of Usefulness Score
You're In Business

The project presents a high-value mission in fetal medicine but lacks credible evidence to support its extraordinary claims. The statement that 'most people have used my product' is demonstrably false for a 2025 launch, severely damaging the submission's integrity. Furthermore, the use of 'marketcap' to describe revenue and the lack of verifiable clinical data (for a claimed 98.2% accuracy) suggest this may be a conceptual project or a crypto-asset narrative rather than a functioning medical technology company. The discrepancy between the grand humanitarian mission and the low-quality metadata results in a minimal score.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+0.5
Technical Innovation+1.5
Evidence Of Traction+0.0
Market Timing Relevance+1.5
Functional Completeness+0.5
Subtotal+9
Usefulness Multiplierx1.15
Final Score+10

Project Details

Project URL
Description
FetalFirst is a GPU-powered platform built by the founder Nina Abide after going through a pregnancy loss caused by misdiagnosis and a lack of real options. We’re using convolutional neural networks and Transformer models to detect fetal anomalies with 98.2% accuracy — a big leap, considering the current global misdiagnosis rate sits around 20%. But this isn’t just about better predictions — it’s about giving parents clarity when they’re facing the hardest decisions of their lives. We offer telehealth access to global specialists, emotional and genetic counseling, and even logistical support — because data without context or humanity just isn’t enough. We’re now building a genetic testing marketplace and integrating genomic data to improve not just the detection of anomalies, but the analysis of severity — so parents can understand what a diagnosis actually means for their baby’s life, and make decisions with confidence, not fear. Our mission is simple: make fetal medicine smarter, more compassionate, and radically more accessible — especially for families who’ve been left out of that conversation for too long.

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