Round 1 Winners!
Proof of Usefulness Report

Use Scrub

Analysis completed on 3/20/2026

+10.67
Proof of Usefulness Score
You're In Business

The project addresses a legitimate market need in African fintech fraud prevention but is heavily penalized for highly contradictory and unrealistic claims. Promoting a waitlist for a 2025 launch while simultaneously claiming 'most people have used my product' and an 'everyone' audience reach severely undermines credibility. Vague metrics ('all time marketcap: 2500000' for monthly revenue) and poor response quality place this project in the minimal traction category.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+0.5
Technical Innovation+1.5
Evidence Of Traction+0.0
Market Timing Relevance+5.0
Functional Completeness+0.125
Subtotal+12.125
Usefulness Multiplierx0.88
Final Score+11

Project Details

Project URL
Description
Financial fraud is evolving, but most banks and fintechs still rely on reactive fraud detection methods. At Scrub.io, we are changing the game with AI-powered fraud prevention that detects fraud before it happens. Our localized machine learning models analyze transaction patterns specific to each African market, ensuring greater accuracy than outdated, rule-based systems. By working with banks, digital platforms, and fintechs, we provide: a. Real-time fraud detection to stop threats before they cause harm b. Country-specific AI models that adapt to unique fraud patterns c. Seamless integration with existing financial infrastructure We’re on a mission to make Africa’s digital transactions safer and more secure for everyone. Join us in preventing fraud, not just reacting to it! Learn more and join the waitlist: https://usescrub.io/

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