Proof of Usefulness Report

TripleBlind.ai

Analysis completed on 2/1/2026

+552
Proof of Usefulness Score
Industry Mainstay

TripleBlind.ai is a legitimate, venture-backed privacy-enhancing technology company (Series A, ~$24M funding) with high potential in the healthcare and finance sectors. However, the submission quality is extremely poor, containing hyperbolic and inaccurate claims (e.g., 'most people have used my product' and 'audience reach: everyone'). While the underlying technology (MPC, privacy-preservation) is highly innovative and timely, the lack of verifiable metrics in the submission and the false traction claims significantly penalize the score. The evaluation relies heavily on external knowledge of the entity's actual market standing rather than the provided input.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+80.0
Technical Innovation+135.0
Evidence Of Traction+75.0
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+600
Usefulness Multiplierx0.92
Final Score+552

Project Details

Project URL
tripleblind.ai
Description
TripleBlind.ai is a technology company that specializes in providing advanced privacy-enhancing solutions for data sharing and collaboration. The company focuses on enabling secure and compliant data exchanges without exposing raw data, ensuring that sensitive information remains protected. By leveraging cutting-edge cryptographic techniques and privacy-preserving technologies, TripleBlind.ai allows organizations to unlock the full potential of their data assets while maintaining strict privacy standards. Their solutions are particularly beneficial for industries such as healthcare, finance, and any sector where data privacy and security are paramount.

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