Round 1 Winners!
Proof of Usefulness Report

Bayan Flow

Analysis completed on 3/20/2026

+34
Proof of Usefulness Score
You're In Business

Bayan Flow addresses a genuine need in computer science education but remains in a pre-launch phase with zero verifiable active users, reach, or revenue. While the interactive visualization concept provides real-world utility, the lack of traction heavily limits its current score, placing it in the minimal traction category.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+0.50
Technical Innovation+7.50
Evidence Of Traction+0.63
Market Timing Relevance+6.00
Functional Completeness+3.50
Subtotal+36.88
Usefulness Multiplierx0.91
Final Score+34

Project Details

Description
Learn algorithms with clarity through interactive, real-time visualizations.
Audience Reach
Still in a very early stage, but it's very promising once I start promoting it
Target Users
Computer Science Students who struggle with understanding how algorithms work, this app simply helps them visualize it better and makes it easier to understand
Technologies
Other, React.js, Tailwind CSS, and Framer Motion
Traction Evidence
This project is pre-launch, and I expect many students will like it (I actually shared it with some university professors, and they told me that this kind of project will help them teach algorithms to students more easily)

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