Proof of Usefulness Report

Twinsight

Analysis completed on 2/17/2026

+62
Proof of Usefulness Score
You're In Business

Twinsight is a verifiable French MedTech company (founded 2020) with a legitimate FDA-cleared product (SurgiTwin™, cleared Aug 2025) for orthopedic digital twins. However, the submission itself is of extremely low quality, containing false claims (e.g., 'everyone' as audience, 'most people' as traction) and errors (project name 'FrostWalker'). While the technology is highly innovative and useful, the score is heavily penalized by the lack of credible data provided in the submission.

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+90
Audience Reach Impact+20
Technical Innovation+90
Evidence Of Traction+50
Market Timing Relevance+80
Functional Completeness+10
Subtotal+52.5
Usefulness Multiplierx1.18
Final Score+62

Project Details

Project URL
twinsight-medical.com
Description
Twinsight offers an online biomechanical modeling and simulation ecosystem providing access to personalized digital twins. Our models are based on a body of validated functional and structural anatomy. The Twinsight platform is made available to healthcare professionals as well as medical device industry such as manufacturers of implants, orthotics and insoles in order to: • support better surgical outcomes through surgical planning optimization on an accurate digital twin of the patients created automatically from medical images and/or surfacic 3D scan, • support better design of medical devices through in silico studies on virtual cohorts of simulated patients.

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