Proof of Usefulness Report

Fractal

Analysis completed on 3/10/2026

-2.01

Proof of Usefulness Score

Lab Mode

The submission raises significant red flags due to highly exaggerated and unverifiable claims (e.g., 'most people have used my product', audience reach of 'everyone', and nonsensical revenue figures). Despite operating in a valid B2B niche (actuarial consulting and process optimization), the lack of verifiable traction, absent technical depth, and overall poor response quality heavily penalize the submission, resulting in a score below zero.

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Score Breakdown

Real World Utility+5.0

Audience Reach Impact-2.0

Technical Innovation+0.75

Evidence Of Traction-5.0

Market Timing Relevance+1.0

Functional Completeness-1.5

Subtotal-1.75

Usefulness Multiplierx1.15

Final Score-2

Project Details

Project URL

fractalactuarial.com

Description

Follow us for actuarial AI productivity tips and general insurance market insights. Fractal. provides actuarial services for general insurance reserving, with an added focus on technology transformation and process optimisation to enhance efficiency and accuracy. Our mission is to provide excellence in reserving while enhancing efficiency within existing in-house actuarial processes. This approach, combined with our industry knowledge and insights, enables us to adeptly understand complex data and provide a clear communication of risk. Visit our website to find out more.

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