Proof of Usefulness Report

Hiddenkick

Analysis completed on 6/26/2026

+44

Proof of Usefulness Score

You're In Business

Hiddenkick AI presents an innovative technical approach to football scouting by focusing on motion intelligence and dynamic tactical configurations. While the problem-solution fit is strong and market timing is highly relevant, the project currently demonstrates minimal verifiable traction, citing only 1-3 inbound requests a week and a single deployment. Crucial data points such as active users, revenue, and team size were omitted, resulting in a score that accurately reflects early-stage, minimal traction.

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Score Breakdown

Real World Utility+20.0

Audience Reach Impact+1.5

Technical Innovation+11.25

Evidence Of Traction+2.5

Market Timing Relevance+8.0

Functional Completeness+3.0

Subtotal+46.25

Usefulness Multiplierx0.95

Final Score+44

Project Details

Project URL

hiddenkickai.com/

Description

Hiddenkick AI is an ML-powered scouting platform already deployed at MCA. We help clubs make smarter transfer decisions using data most teams have but don't know how to use. We are building a computer vision module aiming to solve one of the most difficult question in football, how compatible are two players on the pitch ? We are extracting tactical configurations and movements to identify compatibility scores not only from row data but also from dynamic data.

Audience Reach

My project reaches 1-3 inbound requests a week

Target Users

Football clubs that can't afford to get transfers wrong or hire a data science department. That means mid-table and lower-budget clubs who rely on smart recruitment rather than spending power. Technically, the end users are scouts and sporting directors. But the real buyer is any club that knows the gap between a good signing and a bad one is the difference between staying up and going down.

Technologies

Other

Traction Evidence

https://www.linkedin.com/company/hiddenkick-ai/?viewAsMember=true

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