Round 1 Winners!
Proof of Usefulness Report

Eruza

Analysis completed on 3/18/2026

+114.75
Proof of Usefulness Score
Gaining Momentum

Eruza addresses a valid real-world problem (food waste optimization) using relevant technologies like Azure IoT and machine learning. However, the submission contains multiple red flags and unverified claims, such as 'most people have used my product' and stating the audience reach is 'everyone'. Due to vague metrics, conflicting data (e.g., a 30-person team alongside nonsensical revenue inputs like 'all time marketcap: 2500000'), and low response quality from the user 'MysticBlade', the project receives heavily penalized scores in traction, reach, and response quality.

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Score Breakdown

Real World Utility+75.0
Audience Reach Impact+0.0
Technical Innovation+30.0
Evidence Of Traction+0.0
Market Timing Relevance+30.0
Functional Completeness+0.0
Subtotal+135
Usefulness Multiplierx0.85
Final Score+115

Project Details

Project URL
Description
Introducing your revolutionary machine learning, cloud-based assistant for Fresh Food ordering and production. Eruza utilizes the Azure Cloud & IoT + data science to predict demand & optimize supply. Reduce waste & keep shelves full, all while increasing margins. Our Vision is to lead the industry supporting Waste Minimization utilizing technology to reduce waste early in the food cycle resulting in both economic and social benefits.

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