Round 1 Winners!
Proof of Usefulness Report

Arcum

Analysis completed on 3/18/2026

+14.63
Proof of Usefulness Score
You're In Business

Arcum targets a valid B2B use case (reducing merchant churn in the payments sector), but the submission is severely undermined by vague, contradictory, and exaggerated data. Claims such as reaching 'everyone', 'most people have used my product', and a vague 'marketcap: 2500000' reflect low response quality and lack verifiable evidence of traction. Consequently, the project receives a low quality multiplier and scores in the minimal traction tier.

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Score Breakdown

Real World Utility+7.5
Audience Reach Impact+1.0
Technical Innovation+3.75
Evidence Of Traction+1.25
Market Timing Relevance+2.5
Functional Completeness+0.25
Subtotal+16.25
Usefulness Multiplierx0.9
Final Score+15

Project Details

Project URL
Description
Arcum is an AI firm focused on helping payments companies reduce merchant churn and improve their overall revenue results. By leveraging the power of data and combining it with our more than forty years of analytics experience, we can bring our clients a more in-depth view of their retention and pricing strategies. Whether you are looking to identify clients at risk of leaving using machine learning, or create data-driven pricing strategies, Arcum has the necessary tools to assist you through these complex questions.

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