Round 1 Winners!
Proof of Usefulness Report

Gorp

Analysis completed on 3/17/2026

+33
Proof of Usefulness Score
You're In Business

Gorp offers a practically useful tool for on-device image redaction, addressing a genuine privacy and compliance need. However, the submission is riddled with red flags, including highly exaggerated and unsupported claims about traction ('most people have used my product') and audience reach ('everyone'), alongside vague financial metrics ('all time marketcap: 2500000'). Due to the lack of verifiable evidence and poor response quality, the project scores very low.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+2.0
Technical Innovation+7.5
Evidence Of Traction+1.25
Market Timing Relevance+6.0
Functional Completeness+0.5
Subtotal+34.75
Usefulness Multiplierx0.95
Final Score+33

Project Details

Project URL
Description
Gorp helps you protect sensitive data in your images. It helps you or your company avoid costly fines that can come from leaking protected user data when sharing app screenshots over the network, or simply helps you redact personal data before sharing images. Gorp uses on-device machine learning to scan images for protected text including PHI, PII or PCI as well as faces. Easily add areas it missed or expand areas it found by dragging. Redact and export a cleansed image in a flash, without ever needing a network connection. Available for macOS and iOS.

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