Proof of Usefulness Report

Kwit

Analysis completed on 1/24/2026

+398
Proof of Usefulness Score
Certified Problem Solver

Kwit is a well-established digital health application with verifiable external traction (3M+ cumulative downloads), despite the submission containing hyperbolic and unverifiable claims (e.g., 'most people have used my product'). The project demonstrates high real-world utility in the smoking cessation market. However, the score is heavily penalized by the poor quality of the response data, vague reach claims, and lack of specific financial metrics in the submission. The final score reflects a balance between the legitimate success of the verified product and the low quality of the provided input.

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+200.0
Audience Reach Impact+40.0
Technical Innovation+90.0
Evidence Of Traction+50.0
Market Timing Relevance+70.0
Functional Completeness+2.5
Subtotal+452.5
Usefulness Multiplierx0.88
Final Score+398

Project Details

Project URL
kwit.app
Description
Kwit is a digital health company that specializes in providing tools and resources to help individuals quit smoking. Through its mobile application, available on the kwit.app domain, Kwit offers a gamified experience that combines behavioral science and motivational techniques to support users in their journey to become smoke-free. The app includes features such as progress tracking, personalized advice, and community support, all designed to empower users to overcome their smoking habits and lead healthier lives. Kwit aims to make the quitting process engaging and effective by leveraging technology and user-friendly design.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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