Proof of Usefulness Report

Singular Perturbations Inc.

Analysis completed on 3/17/2026

+32.42

Proof of Usefulness Score

You're In Business

The project is based on valid theoretical foundations and past government research (NICT), giving it decent technical innovation and utility scores. However, the submission is severely penalized for highly exaggerated and unsupported claims regarding audience reach ('everyone') and traction ('most people have used my product'). As a result, verifiable real-world adoption is minimal.

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+1.00

Technical Innovation+11.25

Evidence Of Traction+0.63

Market Timing Relevance+6.00

Functional Completeness+0.25

Subtotal+34.13

Usefulness Multiplierx0.95

Final Score+32

Project Details

Project URL

singularps.com

Description

We develop predictive policing applications using cutting edge crime prediction algorithms using computational criminology, machine learning, theoretical physics, geospatial technology. SP is selected as a recipient of a contract research adopted by NICT (National Institute of Information and Communications Technology, Japan) from 2018 and she is responsible for building algorithms and software tools for crime prediction.

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