Proof of Usefulness Report

South Manchester Radiology Ltd.

Analysis completed on 1/25/2026

+215
Proof of Usefulness Score
Gaining Momentum

SMR Health & Tech (South Manchester Radiology Ltd) is a legitimate, established UK-based consultancy (est. 2008) specializing in AI adoption for radiology and the NHS. The firm is led by Dr. Rizwan Malik, a recognized industry expert and conference speaker. However, the project submission itself is of extremely low quality, containing demonstrably false claims ('audience reach: everyone', 'evidence: most people have used my product') and misused financial terminology ('marketcap' instead of lifetime revenue). While the underlying business has verifiable real-world utility and B2B influence, the score is heavily penalized by the submission's lack of professionalism and accuracy.

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+80
Audience Reach Impact+15
Technical Innovation+40
Evidence Of Traction+30
Market Timing Relevance+75
Functional Completeness+5
Subtotal+245
Usefulness Multiplierx0.88
Final Score+215

Project Details

Description
At SMR Health & Tech, we support technology and AI innovators to help drive transformative change in imaging and the wider healthcare industry. So that patients can get better care, and clinicians can have human input again. We provide strategic advice on AI and tech in healthcare, imaging and the clinical landscape. We advise Imaging Tech providers, Health Tech companies and Hospital groups to implement practical solutions that move the needle.

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