Round 1 Winners!
Proof of Usefulness Report

Get Racked

Analysis completed on 3/10/2026

-14.25
Proof of Usefulness Score
Lab Mode

The submission contains major red flags, including highly exaggerated claims ('most people have used my product', audience reach of 'everyone') that are statistically impossible for a 6-person colocation business. The revenue metric is vaguely stated as a 'marketcap' rather than actual monthly revenue, and custom technology details are completely absent. While the general concept of budget-friendly AI colocation has market relevance, the severe lack of verifiable traction and extremely poor response quality result in a negative 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+37.5
Audience Reach Impact-20.0
Technical Innovation+7.5
Evidence Of Traction-50.0
Market Timing Relevance+20.0
Functional Completeness-10.0
Subtotal-15
Usefulness Multiplierx0.95
Final Score-14

Project Details

Project URL
Description
Server and Network colocation. Specializing in custom customer environments, Labs, and small scale budget friendly AI work loads.

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