Proof of Usefulness Report

Digital Anthropology

Analysis completed on 3/7/2026

+28
Proof of Usefulness Score
You're In Business

The submission suffers from critical quality issues, including a mismatch between the project name ('FrostRider') and the description ('Digital Anthropology'). While the underlying organization appears to be a legitimate UK charity addressing a relevant problem (AI displacement), the submission relies on demonstrably false hyperbole (claiming 'most people' have used the product) and confusing metrics ('marketcap' for a non-profit). There is no evidence of a scalable technology product, reducing the score to near zero for technical innovation and verifiable traction.

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Score Breakdown

Real World Utility+10.0
Audience Reach Impact+1.0
Technical Innovation+0.75
Evidence Of Traction+1.25
Market Timing Relevance+13.5
Functional Completeness+0.25
Subtotal+26.75
Usefulness Multiplierx1.05
Final Score+28

Project Details

Description
We will make a positive difference to those individuals at risk of displacement by AI, Robotics or Machine Learning Our Manifesto We believe in a future where the consideration of the social impact on people is at the heart of technological advancement and digital revolution. Our aim is to engage with global technology companies and their customers. We believe they have a Corporate Social Responsibility surrounding the loss of livelihood caused by automation and encourage them to provide funding for our programmes We will prepare individuals for the Future of Work which includes developing resilience, emotional intelligence, multi-portfolio working and flexibility Through ongoing research, we will guide individuals towards retraining and upskilling for occupations at least risk of automation About Displacement ‘Many of the largest employment categories in the UK have the highest potential for displacement. AI, Robotics and Machine Learning will have the greatest impact on office support roles and production jobs. This includes low skilled and low waged customer service and sales roles, such as cashiers and clerks, shop assistants, administrative secretaries.’ McKinsey June 2020 BUT not exclusively.. because many repeatable tasks are also under threat By 2024, half of structured, repeatable tasks will be automated and 20% of workers in knowledge-intensive tasks will have AI-infused software or other digitally connected technology as a ‘co-worker’

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