Proof of Usefulness Report

Rampart

Analysis completed on 1/28/2026

-5
Proof of Usefulness Score
Lab Mode

The submission for 'Rampart' is highly inconsistent and contains significant red flags. While the URL (rampart.ai) points to a legitimate AI Governance, Risk, and Compliance (GRC) platform, the submission incorrectly categorizes the business as 'Land Acquisition' (likely confusing it with Rampart Surveys/Land Services) and lists a launch date of 1989, which is impossible for the AI entity. Furthermore, the claims of reaching 'everyone' and that 'most people have used my product' are demonstrably false. The response quality is critically low, suggesting a spam, test, or hallucinatory entry.

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+20
Real World Utility Quality Factor+0.5
Audience Reach Impact+0
Audience Reach Impact Quality Factor+0.5
Technical Innovation+20
Technical Innovation Quality Factor+0.5
Evidence Of Traction-40
Evidence Of Traction Quality Factor+1
Market Timing Relevance+30
Market Timing Relevance Quality Factor+0.5
Functional Completeness+0
Response Quality Quality Factor+1
Subtotal-4.5
Usefulness Multiplierx1.1
Final Score-5

Project Details

Project URL
Description
Rampartis in the GRC Software Industry

Algorithm Insights

Market Position
Early stage requiring focused development
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