Round 1 Winners!
Proof of Usefulness Report

strategize.inc

Analysis completed on 3/13/2026

+87.19
Proof of Usefulness Score
You're In Business

The project concept of AI-powered digital twins for decision-making is relevant, but the submission is significantly undermined by highly exaggerated claims ('most people have used my product', 'everyone' audience), missing user metrics, and a lack of demonstrable, verifiable traction. As a result, it scores in the minimal traction category.

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Score Breakdown

Real World Utility+25
Audience Reach Impact+1
Technical Innovation+26.25
Evidence Of Traction+0
Market Timing Relevance+40
Functional Completeness+0.5
Subtotal+92.75
Usefulness Multiplierx0.94
Final Score+87

Project Details

Project URL
Description
At Strategize, a University of Cambridge spin-off, we create AI-powered, gamified digital twins for two key purposes: learning and decision-making. For learning, our hyper-realistic models help users explore complex topics like disruptive strategy and innovation in an immersive, game-like environment. For planning and decision science, we build precise digital models that allow corporate and government clients to simulate real-world scenarios with AI agents, optimizing competitive and collaborative strategies through a mix of machine learning driven insights as well as human judgement.

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