Round 1 Winners!
Proof of Usefulness Report

MINT

Analysis completed on 3/10/2026

-44.65
Proof of Usefulness Score
Lab Mode

The submission exhibits severe red flags and lacks verifiable traction. Claims such as 'most people have used my product' and targeting 'everyone' are implausible and unsupported. Citing an 'all time marketcap: 500000' for monthly revenue strongly implies a speculative cryptocurrency token rather than a viable business metric. Additionally, the inclusion of 'Gambling & Casinos' under technologies used contradicts the stated focus on AI eCommerce cross-selling. The project falls well below the threshold for a credible venture, resulting in heavily penalized scores across all criteria.

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Score Breakdown

Real World Utility+15
Audience Reach Impact-15
Technical Innovation+3.75
Evidence Of Traction-43.75
Market Timing Relevance+2.5
Functional Completeness-10
Subtotal-47.5
Usefulness Multiplierx0.94
Final Score-45

Project Details

Project URL
Description
mint.io is an AI cross-selling eCommerce platform for online businesses to share customer bases, cross-sell consumers to make further purchase to bring mutual benefits to each partner. Facilitated by an AI technology recommendation engine to enable real-time purchase predictions that recommend the most relevant and appropriate complementary products and services of other business for customers to compliment the initial purchase. eCommerce, BC | Ontario, Canada

Algorithm Insights

Market Position
Early stage requiring focused development
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