Round 1 Winners!
Proof of Usefulness Report

Quadrical Ai

Analysis completed on 3/12/2026

+247
Proof of Usefulness Score
Gaining Momentum

Quadrical AI addresses a high-value problem in renewable energy optimization, presenting robust theoretical utility and technical innovation through its digital twin technology. However, the submission is significantly penalized for providing hyperbolic and unverified claims, such as an audience reach of 'everyone' and asserting 'most people have used my product'. These unrealistic responses undermine the credibility of its traction and operational scale, capping its score within the minimal verified traction tier.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+150
Audience Reach Impact+5
Technical Innovation+90
Evidence Of Traction+2.5
Market Timing Relevance+60
Functional Completeness+1.25
Subtotal+308.75
Usefulness Multiplierx0.8
Final Score+247

Project Details

Project URL
Description
Increase Performance by 2-4% while Monitoring with our Digital Twin based Platform Plant Audit | Digital Twin based CMMS | Snap-On Advanced Analytics | Forecasting | ROC We help solar improve generation by 2 – 4% while optimizing performance and asset management. Digital Twin AI is at the core of our Asset Management Platform. We build a personalized, digital replica of your plant, & leverage these special purpose ‘Digital Twins’ for identifying and quantifying shading, soiling, insulation, long term degradation, due diligence etc. This allows us to deploy true Condition Based Maintenance. - Plant Audit. Actionable guidance in 2 weeks with no time, impact to your existing systems. - Fast Onboarding for immediate results. - RealTime Monitoring & Reporting (Faults/Failures) across Plants and Portfolio - Predictive Maintenance with AI. Actionable O&M Guidance, prioritized by revenue impact - Digital Twin AI Based Data Platform - Forecasting generation >98% Daily accuracy in Head-to-Head Tests Combining Data Engineering and Deep Math, founders Sharat Singh and Dr. Hugh Hind have built this Solar Management platform with proprietary and patented AI. ‘Future Proof,’ and Extensible, these ‘Digital Twins’ of solar plants learn how to optimize every aspect with a holistic 25-Year Plan.

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