Proof of Usefulness Report

Gradeaid

Analysis completed on 3/18/2026

+30.14

Proof of Usefulness Score

You're In Business

Gradeaid addresses a legitimate problem in the trading card industry (grading subjectivity and speed) through proposed AI and computer vision solutions. However, the submission suffers from highly exaggerated claims ('most people have used my product'), vague target audiences ('everyone'), and a lack of verifiable business metrics. The mention of an 'all time marketcap' suggests a tokenized model with unverified or minimal real-world traction, heavily penalizing its overall score.

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Score Breakdown

Real World Utility+18.75

Audience Reach Impact+1.0

Technical Innovation+4.5

Evidence Of Traction+1.25

Market Timing Relevance+5.0

Functional Completeness+0.25

Subtotal+30.75

Usefulness Multiplierx0.98

Final Score+30

Project Details

Project URL

gradea.id

Description

Gradea.id is changing how trading cards are graded. Using proprietary computer vision algorithms, artificial intelligence, and machine learning, we are able to remove the subjectivity of the human grader's eyes. This allows us to provide nearly instantaneous service to our customers and the confidence that a grade will be fair and consistent across every card.

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