Round 1 Winners!
Proof of Usefulness Report

Qwytt

Analysis completed on 3/23/2026

+32.89
Proof of Usefulness Score
You're In Business

The project addresses a vital real-world problem (nicotine addiction) using a novel hardware and machine learning approach. However, the submission suffers from drastically overstated claims of traction ('most people have used my product') and unclear revenue metrics ('all time marketcap: 500000'). Given the lack of reliable evidence of market adoption, audience reach, or professional metrics, the submission receives a low score and is categorized as having minimal traction.

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Score Breakdown

Real World Utility+16.25
Audience Reach Impact+1.00
Technical Innovation+9.00
Evidence Of Traction+0.625
Market Timing Relevance+7.50
Functional Completeness+0.25
Subtotal+34.625
Usefulness Multiplierx0.95
Final Score+33

Project Details

Project URL
Description
Nicotine addiction is a complex issue with no one size fits all solution. Our goal is to leverage machine learning to create adaptable prevention and cessation programs for our users. Qwytt monitors various patterns, including puff frequency, duration, and time. If a user is expected to face difficulties in achieving their goals, Qwytt will modify its suggestions and limitations to improve their chances of success. Unlike nicotine replacement, Qwytt gives users agency over managing their usage and helps them actively address their cravings to break their habit for good. Additionally, since Qwytt is only a wireless activity tracker and not a tobacco product, it is also accessible to millions of underage individuals who cannot easily access nicotine replacement products and may be unwilling to seek counseling.

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