Proof of Usefulness Report

Bigthinx

Analysis completed on 1/15/2026

+184
Proof of Usefulness Score
Gaining Momentum

Bigthinx is a legitimate B2B fashion tech company founded in 2015, known for its 'Lyfsize' and 'Lyflike' AI body scanning and avatar solutions. While the project has secured verified pilots with major brands (Prada Accelerator, etc.) and industry awards, the submission contains highly exaggerated and inaccurate claims (e.g., 'most people have used my product', 'audience reach: everyone'). External data indicates the company generates modest revenue (~$160k USD FY24) and has seen shrinking growth (-53% CAGR), contradicting the implied massive scale. The '93300000' revenue figure likely refers to a historic valuation in INR (~$1.1M USD). The project scores as 'Small but promising' due to valid technology, despite the poor quality of the submission and slow commercial traction over 9 years.

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Score Breakdown

Real World Utility+81
Audience Reach Impact+10
Technical Innovation+52
Evidence Of Traction+18
Market Timing Relevance+30
Functional Completeness+1
Subtotal+193
Usefulness Multiplierx0.95
Final Score+184

Project Details

Project URL
Description
At Bigthinx, an award-winning fashion tech company, we are disrupting the global fashion industry using Artificial Intelligence and Computer Vision for virtual people, digital clothing, immersive fashion shows, and the metaverse.\n\nWe are digitizing the human body with data on anatomy, shape, and clothing size, fit and drape, that enables brands to personalize shopping, envision designs, optimize supply chains, and save costs.\n
Audience Reach
everyone
Target Users
everyone
Technologies
Fashion, Arvr, Games
Traction Evidence
most people have used my product

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