Round 1 Winners!
Proof of Usefulness Report

Singulr

Analysis completed on 3/13/2026

+56.76
Proof of Usefulness Score
You're In Business

The submission contains significant red flags and highly hyperbolic claims, such as stating 'most people have used my product' and targeting an audience of 'everyone' without any verifiable evidence. There are contradictions between the described healthcare AI/NLP focus and the listed 'Financial Services' technology. Coupled with vague metrics ('all time marketcap: 500000') and a bot-like contact email, the project demonstrates minimal verifiable traction and poor response quality, resulting in a low score.

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+25.0
Audience Reach Impact+1.0
Technical Innovation+10.0
Evidence Of Traction+1.0
Market Timing Relevance+25.0
Functional Completeness+2.5
Subtotal+64.5
Usefulness Multiplierx0.88
Final Score+57

Project Details

Project URL
Description
SingulR specializes in providing AI and NLP services, including consultation, research, and development of algorithms for the healthcare, medical, and cybersecurity industries. Our expertise is particularly valuable in the healthcare and security sectors, where extracting and securing medical controllers and devices with information entities such as personal info, symptoms, diseases, and treatments from a wide range of sources, including patient conversations and medical texts and images, is crucial. We secure and extract patterns and the relationships between them and ultimately create operative knowledge datastorages.

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