Round 1 Winners!
Proof of Usefulness Report

LR Physics

Analysis completed on 3/17/2026

+31.35
Proof of Usefulness Score
You're In Business

LR Physics provides a legitimate B2B service in R&D consulting and EU grant acquisition. However, the submission is significantly undermined by highly exaggerated claims regarding traction ('most people have used my product') and audience reach ('everyone'), alongside severely outdated descriptive text referencing 2016 as the current year. As a traditional consultancy rather than a scalable software platform, its technical innovation and verifiable global traction score very low relative to calibration benchmarks.

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+15.00
Audience Reach Impact+4.00
Technical Innovation+2.25
Evidence Of Traction+5.00
Market Timing Relevance+6.00
Functional Completeness+0.75
Subtotal+33
Usefulness Multiplierx0.95
Final Score+31

Project Details

Description
Since 2013, LR-Physics is helping its clients to build their R&D capabilities in order to improve productivity and drive performance through innovation. LR-Physics is helping SMEs and traditional companies to leverage on R&D by: * Building and assisting tenders for Research & Development funding * Manage Research projects from scoping to Scientific & Technological watch * Building data models based on Material and Financial analysis LR Physics, which has a strong network of Belgian Academics, is helping any EU legal entity to get European Research funding for anything about innovation in data science, energy, environment and materials. It has been founded in 2013 by Dr Leila Rebbouh who has a serious experience in Research at companies including Huntsman and Toyota. Once the Research is funded, our role merge into Product Packaging and Commercialization to fit Industrial needs after we review the potential with a few of our long time partners. With this methodology, we selected in 2016 4 projects in Blockchain, Energy, Predictive Forecasts and Comemrce Machine Learning that are currently in the process of spinning out. 2 of them will be funded and operating by the end of this year 2016.

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