Proof of Usefulness Report

Simbel

Analysis completed on 1/30/2026

+386
Proof of Usefulness Score
Certified Problem Solver

Simbel is a legitimate French HRTech startup that raised €4M in Seed funding (2022) and serves reputable clients like BlaBlaCar and Roland Berger. The platform addresses a clear B2B need in Learning & Development (L&D) for SMBs. However, the project submission itself was of extremely poor quality, containing false traction claims ('most people have used my product') and vague data. The score reflects the strong underlying business fundamentals and VC backing, heavily penalized by the lack of credible evidence provided in the input.

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Score Breakdown

Real World Utility+16.00
Audience Reach Impact+4.00
Technical Innovation+6.00
Evidence Of Traction+9.38
Market Timing Relevance+7.00
Functional Completeness+0.25
Subtotal+42.63
Usefulness Multiplierx0.91
Final Score+386

Project Details

Project URL
Description
Simbelis 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