Proof of Usefulness Report

CloudAEye

Analysis completed on 2/2/2026

+62

Proof of Usefulness Score

You're In Business

CloudAEye is a verifiable early-stage startup (founded 2020) with legitimate recognition from TechCrunch (Startup Battlefield 200) and AngelList. However, the submission is severely penalized for making objectively false claims regarding audience reach ('everyone') and traction ('most people have used my product'). While the technology addresses a high-value problem in AI observability and DevOps, the lack of significant funding or scaling since 2020, combined with the low-effort submission, results in a score reflecting potential but minimal current impact.

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+85

Audience Reach Impact+20

Technical Innovation+70

Evidence Of Traction+55

Market Timing Relevance+90

Functional Completeness+30

Subtotal+54.5

Usefulness Multiplierx1.13

Final Score+62

Project Details

Project URL

https://www.cloudaeye.com/

Description

CloudAEye has been named top 10 AI startups by AngelList (now Wellfound) and chosen by TechCrunch as a top AI Startup Battlefield company. CloudAEye provides AI/ML-powered intelligent observability for Cloud services. Our solution provides contextual awareness, frictionless management of an incident, and root-cause analysis to reduce MTTD (mean time to detect) and MTTR (mean time to repair). Time to market and service reliability are critical in today’s remote world. According to a Gartner survey, the cost of downtime has gone up to $540K per hour. IDC reported that 29.3% of enterprises experience a downtime costing over $25K per hour.

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