Round 1 Winners!
Proof of Usefulness Report

MV37

Analysis completed on 3/12/2026

+5.7
Proof of Usefulness Score
You're In Business

The submission lacks a clear description of a tangible product or service, relying instead on a historical anecdote about Google's AlphaGo. Claims of reaching 'everyone' and assertions that 'most people have used my product' are hyperbolic and unsupported by factual metrics. The reference to a 500,000 'marketcap' is vague, and the overall lack of specific evidence results in a severely downgraded score.

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+2.5
Audience Reach Impact+1.0
Technical Innovation+0.75
Evidence Of Traction+0.625
Market Timing Relevance+1.0
Functional Completeness+0.125
Subtotal+6
Usefulness Multiplierx0.95
Final Score+6

Project Details

Project URL
Description
In March 2016 Google DeepMind’s AlphaGo AI algorithm played one of the world's best Go players - Lee Sedol. The AlphaGo AI was remarkable because it was not taught how to play Go, it was taught how to learn to play Go. In game two of the five match series AlphaGo played a move that not only would no human have played, but one which the experts could not initially understand and thought was a mistake. This pivotal move led to AlphaGo winning the game and it went on to win the series 4-1 That move was Move 37. Move 37 showed that with correct application of emerging technology, we can find new approaches to problems, rethink ways of operating and ultimately find new ways to win.

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