Proof of Usefulness Report

Sizelytics

Analysis completed on 3/17/2026

+179

Proof of Usefulness Score

Gaining Momentum

Sizelytics aims to solve a valid e-commerce problem with ML-based sizing, but the submission contains extremely vague and exaggerated claims (e.g., 'most people have used my product', 'everyone' for audience reach). A reported all-time market cap of $2.5M after launching in 2017 with a 30-person team suggests some operational history, but the lack of concrete verifiable metrics severely limits the evidence of traction and overall score.

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Score Breakdown

Real World Utility+150.0

Audience Reach Impact+5.0

Technical Innovation+22.5

Evidence Of Traction+2.5

Market Timing Relevance+30.0

Functional Completeness+0.5

Subtotal+210.5

Usefulness Multiplierx0.85

Final Score+179

Project Details

Project URL

sizelytics.com

Description

We are a Utah based garment fit and sizing technology company. We use machine learning algorithms to shrink the find-buy cycle for its customers. Our technology finds products and sizes that fit each customer’s unique shape and measurements and provides the recommended product list directly to the customer through our Fit Calculator. Sizelytics innovates product discovery while decreasing returns and customer service requests.

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