Round 1 Winners!
Proof of Usefulness Report

GreenDib Ltd.

Analysis completed on 3/19/2026

+10.78
Proof of Usefulness Score
You're In Business

The submission contains significant red flags and unsupported claims. Stating 'most people have used my product' and listing the audience as 'everyone' demonstrates a lack of realistic metrics. Furthermore, the technology stack lists only 'Internet', which contradicts the complex AI, ML, and IoT solutions mentioned in the description. Due to the extreme lack of verifiable traction, vague responses, and highly improbable claims, the project scores exceptionally low in the calibration matrix.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+1.0
Technical Innovation+2.25
Evidence Of Traction+1.25
Market Timing Relevance+2.5
Functional Completeness+0.25
Subtotal+12.25
Usefulness Multiplierx0.88
Final Score+11

Project Details

Project URL
Description
We are a Canadian startup that utilizes artificial intelligence, machine learning, and the Internet of Things to quantify the impact of replacing polluting actions with sustainable choices on the quantity of ungenerated air pollution. Based on this analysis, we offer solutions for minimizing air pollution to individuals, groups, and organizations.

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