Proof of Usefulness Report

SickPredict

Analysis completed on 3/17/2026

+48.38

Proof of Usefulness Score

You're In Business

SickPredict exhibits multiple red flags, including unsupported claims of universal audience reach ('everyone'), implausible technical capabilities (analyzing 250,000 metrics per user), and exaggerated traction ('most people have used my product'). Missing core data and vague financial metrics ('all time marketcap: 2500000') indicate a highly speculative concept lacking verifiable traction, resulting in a minimal PoU 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+18.75

Audience Reach Impact+10.00

Technical Innovation+7.50

Evidence Of Traction+6.25

Market Timing Relevance+10.00

Functional Completeness+1.25

Subtotal+53.75

Usefulness Multiplierx0.9

Final Score+48

Project Details

Project URL

sickpredictapp.com

Description

SickPredict™ uses its revolutionary, machine-learning algorithms to analyze more than 250,000 of your health and fitness metrics and provides you with a daily SickNumber™.

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