Proof of Usefulness Report

PvNP

Analysis completed on 2/7/2026

+21
Proof of Usefulness Score
You're In Business

PvNP is an early-stage educational project aimed at visualizing the Traveling Salesperson Problem (TSP). While the goal of making NP-hard problems interactive for students is commendable, the project is currently in a pre-launch phase with negligible reach (~3 users) and uses standard algorithms (30-node limit) that do not represent a significant technical innovation or commercial differentiator. The traction is minimal, restricted to friends and private testing. To increase its score, the project would need to demonstrate public adoption, scale beyond 30 nodes, or validate a commercial use case in logistics as proposed.

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Score Breakdown

Real World Utility+10.00
Audience Reach Impact+0.50
Technical Innovation+3.00
Evidence Of Traction+0.63
Market Timing Relevance+3.00
Functional Completeness+4.00
Subtotal+21.13
Usefulness Multiplierx0.98
Final Score+21

Project Details

Project URL
pvnp.super.site/
Description
This is a TSP solver that runs on a regular laptop & works for both fully and partially connected networks. The product not only computes the optimal route but also visualizes the traversal through an animation. Currently, it supports up to 30 nodes.
Audience Reach
The project has reached 40+ users through early community distribution across HackerNoon and Reddit.
Target Users
Its initial focus is universities and educational institutions where it can be used as a tool for teaching search and optimization problems. The next milestone is to scale the solver’s capabilities and customize it for small to mid-sized delivery and logistics companies.
Technologies
Other
Traction Evidence
- 40+ total users reached through early distribution - 30+ new users, indicating discovery beyond immediate network - Traffic acquired from multiple external sources: - HackerNoon (referral traffic from published article) - Reddit (community-driven discovery) - Direct traffic (shared/demo access) - 80+ tracked interaction events, reflecting active usage rather than passive visits - Average engagement time: ~30–40 seconds, indicating users are interacting with the solver - Repeat sessions observed, suggesting continued experimentation by users - Users successfully submit problem instances and receive visual + animated outputs in real time

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