Proof of Usefulness Report
Ippaï
Analysis completed on 3/21/2026
+31
Proof of Usefulness Score
You're In Business
The project tackles a valid problem in the restaurant industry (no-shows) but presents highly contradictory data (30 team members vs. 50k all-time marketcap) and extremely vague, unsupported claims ('most people have used my product', despite being localized to Lyon). Consequently, traction, innovation, and reach receive major penalties.
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 Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+26.875
Usefulness Multiplierx1.15
Final Score+31
Project Details
Project URL
Description
Notre ambition est d’apporter une solution technologique (basée sur l'IA et le Machine Learning) à la problématique du no-show dans le secteur de la restauration, phénomène qui a pris de l’ampleur ces dernières années avec l’essor de la réservation en ligne.
Nous concentrons pour le moment nos efforts sur le secteur de la restauration dans la ville de Lyon et son agglomération.
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