Proof of Usefulness Report

Hilabs

Analysis completed on 1/23/2026

+583
Proof of Usefulness Score
Industry Mainstay

Hilabs is a verified, venture-backed healthcare data company (Series B, ~$39M funding) solving a critical industry problem (provider data accuracy) with its MCheck™ platform. However, the submission quality was extremely poor, featuring hyperbolic claims ('everyone', 'most people have used my product') and lack of specific evidence. While the company's actual scale and utility warrant a high valuation, the score is heavily penalized by the lack of direct evidence and professionalism in the input data, applying a 0.5 quality multiplier to key sections.

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Score Breakdown

Real World Utility+220.0
Audience Reach Impact+85.0
Technical Innovation+120.0
Evidence Of Traction+112.5
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+635
Usefulness Multiplierx0.918
Final Score+583

Project Details

Project URL
Description
HiLabs’ mission is to make healthcare data transformative. Using cutting-edge technology, we developed MCheck™, an intuitive platform that provides business solutions to address data quality and enhance the member experience at scale. Working with us are multidisciplinary industry leaders and professionals with extensive healthcare domain knowledge, experience, and acumen. They hail from the world’s best universities and institutes including Harvard, Yale, Carnegie Mellon, Duke, IITs and IIMs.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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