Proof of Usefulness Report

MyDataModels

Analysis completed on 1/26/2026

+384

Proof of Usefulness Score

Certified Problem Solver

MyDataModels is a verifiable company (Series A, ~$8.7M funding) specializing in 'Small Data' predictive analytics using evolutionary algorithms. While the project itself has significant real-world utility and verified backing, the submission quality is critically low (e.g., claiming 'most people have used my product' and audience 'everyone'). The score is heavily buoyed by external verification of the company's capital and technology, but penalized for the inaccurate and unprofessional submission details.

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Score Breakdown

Real World Utility+100

Audience Reach Impact+40

Technical Innovation+112.5

Evidence Of Traction+100

Market Timing Relevance+60

Functional Completeness+5

Subtotal+417.5

Usefulness Multiplierx0.92

Final Score+384

Project Details

Project URL

mydatamodels.com

Description

Leading the Small Data predictive analytics revolution by providing an easy-to-use Predictive Modeling tool, it’s Our Mission. Giving every professional in every domain, access to Machine Learning/predictive models, it’s Our Vision.

Algorithm Insights

Market Position

Strong market validation with clear user adoption patterns

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