Proof of Usefulness Report

Astut Limited

Analysis completed on 3/9/2026

-6.33

Proof of Usefulness Score

Lab Mode

The submission contains severe red flags and zero verifiable traction, warranting a sub-zero score. Claims such as 'most people have used my product' and a target audience of 'everyone' are entirely unsubstantiated and hyperbolic. Reporting a monthly revenue as 'all time marketcap: 500000' indicates a dubious business model or fundamental confusion. The technical description relies heavily on XAI/HSU buzzwords without actionable detail, and listing 'Internet' as the sole technology demonstrates a lack of technical depth. The profound lack of concrete evidence and presence of questionable metrics trigger strict penalties.

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Score Breakdown

Real World Utility+1.25

Audience Reach Impact+0

Technical Innovation+0

Evidence Of Traction-6.25

Market Timing Relevance+0

Functional Completeness-0.5

Subtotal-5.5

Usefulness Multiplierx1.15

Final Score-6

Project Details

Project URL

astut.co.uk

Description

We are proud to announce the invention and the launch of XAI for High Stakes Unseen (HSU) Decision Support. Many commercial and public actors must consider types of high stakes, one-off, decision challenges that are “unseen", meaning that they have no specific data available on any plethora of other, similar, decisions and their outcomes; and where their (institutional and individual) knowledge and experience is incomplete. So the rules, insights, constraints, policies, trends, and propositions that they do know about leave gaps and cannot form-up a logical narrative to support a decision, one way or the other. Such HSU challenges are usually urgent, and a timely decision must be made and justified (transparency). This is especially true for strategic decisions, pivots, or operational decisions to take irrevocable action to be made within fast-moving and dissonant environments. Classic AI is calibration-data-hungry has nothing to contribute in this situation. REVOLUTIONISING XAI FOR HIGH-STAKES UNSEEN DECISIONS

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