Round 1 Winners!
Proof of Usefulness Report

Zettafleet

Analysis completed on 3/23/2026

-1.15
Proof of Usefulness Score
Lab Mode

The submission contains major red flags and contradictory claims. Claiming 'most people have used my product' while simultaneously operating as a 'stealth-mode AI laboratory' with zero provided metrics or active users makes the traction completely unverifiable. Based on the lack of transparency, vague responses, and absence of verifiable evidence, the project receives a negative calibration 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 Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal-1.25
Usefulness Multiplierx0.92
Final Score-1

Project Details

Project URL
Description
We are a stealth-mode AI laboratory researching and developing Machine Learning models.

Algorithm Insights

Market Position
Early stage requiring focused development
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