Proof of Usefulness Report

Wenn

Analysis completed on 2/2/2026

+513
Proof of Usefulness Score
Industry Mainstay

The project refers to Wenn ASA, a legitimate Norwegian technology company specializing in AI-driven car damage detection (CarEye) with significant B2B traction (contracts with Munich Airport, Fraport, etc.). However, the submission quality is extremely poor, containing contradictory descriptions ('HRTech' vs 'Car damage'), vague audience claims ('everyone'), and hyperbolic traction statements ('most people have used my product'). The score reflects the high real-world utility and verified technological maturity of the actual business, heavily penalized by the low quality of the submission data.

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+213
Audience Reach Impact+40
Technical Innovation+128
Evidence Of Traction+106
Market Timing Relevance+80
Functional Completeness+3
Subtotal+570
Usefulness Multiplierx0.90
Final Score+513

Project Details

Project URL
Description
Wennis in the HRTech Industry

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