Proof of Usefulness Report

Scope

Analysis completed on 3/18/2026

+24.86

Proof of Usefulness Score

You're In Business

The project addresses a valid and practical industrial need (AI for rope damage inspection) but submits highly vague, inaccurate, and conflicting claims, such as 'everyone' being the target audience and 'most people have used my product'. With contradictory active user metrics and market cap values, verifiable evidence of traction is nonexistent, triggering severe penalties in quality multipliers.

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Score Breakdown

Real World Utility+17.5

Audience Reach Impact+1.0

Technical Innovation+9.0

Evidence Of Traction+0.0

Market Timing Relevance+1.5

Functional Completeness+0.25

Subtotal+29.25

Usefulness Multiplierx0.85

Final Score+25

Project Details

Project URL

visionbyscope.com

Description

Scope is a line quality platform for synthetic and wire rope that leverages artificial intelligence and machine learning to identify line damage, assess the severity of the damaged areas and how they relate to one another, and communicates what actions are required to resolve those conditions. This is accomplished in real time, in-line with operations, augmenting the human in the loop, with software that is self improving.

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