Proof of Usefulness Report

Intangles Lab Pvt. Ltd.

Analysis completed on 1/23/2026

+701
Proof of Usefulness Score
Category Standard

Intangles is a verified, high-traction Series B company ($73M+ funding, ~$9M revenue) providing Digital Twin predictive maintenance for fleets. While the submission contained inaccuracies (claiming 'everyone' as audience and mislabeling revenue as market cap), the underlying project demonstrates exceptional utility, advanced technology, and significant market presence. The low submission quality is heavily penalized in the 'Response Quality' and 'Audience Reach' metrics, but verified data drives the high final score.

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Score Breakdown

Real World Utility+237.5
Audience Reach Impact+65
Technical Innovation+132
Evidence Of Traction+230
Market Timing Relevance+90
Functional Completeness+7.5
Subtotal+762
Usefulness Multiplierx0.92
Final Score+701

Project Details

Project URL
Description
Intangles uses Digital Twins to help fleets conduct predictive maintenance, enhancing their uptime & profitability.

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