Proof of Usefulness Report

Sleem

Analysis completed on 2/15/2026

+142
Proof of Usefulness Score
Gaining Momentum

Project 'Sleem' is a verifiable French foodtech startup (founded 2021 by Victoria Dorgnon-Lambert) with legitimate accolades (Laureate of Initiactive France, Club des Entrepreneurs des Mousquetaires). However, the submission quality is critically low, containing significant falsehoods ('most people have used my product', 'audience: everyone') and confusing metrics ('marketcap' vs revenue). While the real-world utility of personalized nutrition is high and the 'Mousquetaires' partnership implies potential retail integration, the claimed traction is exaggerated. The score reflects the early-stage reality and verifiable awards, heavily penalized for the unreliable 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+70.0
Audience Reach Impact+6.0
Technical Innovation+30.0
Evidence Of Traction+15.0
Market Timing Relevance+24.0
Functional Completeness+4.0
Subtotal+149
Usefulness Multiplierx0.95
Final Score+142

Project Details

Project URL
Description
Fondée en 2021, Sleem est une jeune startup Foodtech et HealthTech. La mission de Sleem est d’améliorer durablement la santé des personnes grâce à la nutrition personnalisée. Les premiers marchés ciblés sont ceux du surpoids, des troubles digestifs et du cholestérol. Sleem s’attaque à ces problématiques en aidant à changer ses habitudes alimentaires. Concrètement, la solution élabore des plannings de menus 100% personnalisés et aide à faire les courses. 🏆 Lauréat du réseau Initiactive France 🛒 Intégration dans le Club des Entrepreneurs des Mousquetaires

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