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
~3 (private beta — friends reviewing and testing the MVP) Pre-launch MVP currently in private validation with early testers; public educational rollout planned.
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
Web-based MVP deployed on Render and currently in private validation. Demoed to 2–3 early users who provided positive usability feedback. Next phase includes outreach to university instructors and students for classroom pilots. Expected traction over the next 2–3 months: 20–50 student users through academic demos and coursework use.

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