Round 1 Winners!
Proof of Usefulness Report

Wendal

Analysis completed on 3/21/2026

-34
Proof of Usefulness Score
Lab Mode

The submission presents significant red flags, primarily through highly exaggerated traction claims ('most people have used my product') and nonsensical revenue statements ('all time marketcap: 500000'). While the core concept of an automated ML due diligence platform holds genuine real-world utility and market relevance, the absolute lack of verifiable evidence and poor response quality result in a negative score. This aligns with the calibration guidelines for projects exhibiting clear hyperbole and no verifiable traction.

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Score Breakdown

Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal-32.5
Usefulness Multiplierx1.05
Final Score-34

Project Details

Project URL
Description
Wendal is an automated, machine learning due diligence platform that removes bias and allows businesses to make smarter decisions. Our platform is used for hiring and is also used for venture capital investment,

Algorithm Insights

Market Position
Early stage requiring focused development
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