Proof of Usefulness Report

BurnML

Analysis completed on 3/21/2026

-1.15

Proof of Usefulness Score

Lab Mode

The project exhibits multiple critical red flags and lacks verifiable evidence. Claims such as 'everyone' for the target audience and 'most people have used my product' for traction are highly exaggerated and unsupported. The mention of 'all time marketcap: 500000' for monthly revenue suggests a crypto token rather than sustainable business revenue. With zero concrete technical details or active user metrics, the submission falls into the unverified/red flag category, resulting in a negative score.

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Score Breakdown

Real World Utility+2.5

Audience Reach Impact+1.0

Technical Innovation+1.5

Evidence Of Traction-6.25

Market Timing Relevance+1.5

Functional Completeness-1.25

Subtotal-1

Usefulness Multiplierx1.15

Final Score-1

Project Details

Project URL

burnml.com

Description

burnML is the first People Analytics tool powered by machine learning to predict and address employee burnout without the use of manual surveys

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