Proof of Usefulness Report

RUN

Analysis completed on 2/16/2026

+717
Proof of Usefulness Score
Category Standard

Run:ai is a high-value enterprise AI infrastructure platform, validated by its significant market presence and acquisition by Nvidia. While the project itself demonstrates exceptional technical innovation and real-world utility in GPU orchestration, the specific submission data provided is low-quality, containing inaccurate claims (e.g., 'most people have used my product') and mislabeled financial metrics. The score reflects the massive verifiable success of the technology, adjusted downward for the poor quality of the submission inputs.

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Score Breakdown

Real World Utility225.00 (Score: 90/100 × Weight: 250 × QF: 1.0)
Audience Reach Impact128.00 (Score: 80/100 × Weight: 200 × QF: 0.8)
Technical Innovation171.00 (Score: 95/100 × Weight: 150 × QF: 1.2)
Evidence Of Traction142.50 (Score: 95/100 × Weight: 250 × QF: 0.6)
Market Timing Relevance110.00 (Score: 100/100 × Weight: 100 × QF: 1.1)
Functional Completeness2.50 (Score: 10/100 × Weight: 50 × QF: 0.5)
Subtotal+779
Usefulness Multiplierx0.92
Final Score+717

Project Details

Project URL
Description
Run:ai helps companies execute on their AI initiatives quickly, while keeping budgets under control, virtualizing expensive hardware resources in order to pool, share and allocate your resources efficiently.

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