Proof of Usefulness Report

GEEIQ

Analysis completed on 1/22/2026

+574
Proof of Usefulness Score
Industry Mainstay

GEEIQ is a verifiable, high-traction B2B data platform for the Metaverse/Gaming sector with significant backing (£6.7M+ Series A) and blue-chip clients (Gucci, L'Oreal, Walmart), contradicting the low-effort submission claims (e.g., 'most people have used my product'). While the submission quality was poor (Response Quality score: 20/100), the project's actual real-world utility and verified market position justify a high score, placing it in the 'Much larger scale' bracket relative to the calibration baseline.

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 Utility2.5)
Audience Reach Impact2.0)
Technical Innovation1.5)
Evidence Of Traction2.5)
Market Timing Relevance1.0)
Functional Completeness0.5)
Subtotal+637.5
Usefulness Multiplierx0.9
Final Score+574

Project Details

Project URL
Description
GEEIQ [Pronounced GEEK] began its journey back in 2018 when our three co-founders Charles, James \u0026 Andrew got together to create something special. Fast forward 3 years, and what once was three members is now a team of over 25, and that team is growing.\n\nGEEIQ is a data platform which focuses specifically on gaming, esports, Metaverse and NFT space.\n\nWe provide the world's leading brands with all the insights necessary to launching successful marketing campaigns within the gaming, esports and metaverse sectors.\n\nOur clients operate in multiple and varied industries that span from the luxury and beauty industry to tech and consumer goods and agency services. Some of our clients include Mercedes, Gucci, Tommy Hilfiger, and L'Oreal to name a few. We work directly with clients to provide an ongoing, fully tailored strategy formulation and execution service.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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