Proof of Usefulness Report

Think IT AI

Analysis completed on 1/23/2026

+10
Proof of Usefulness Score
You're In Business

The submission for 'Think IT AI' presents significant contradictions and red flags. While the description outlines a standard IT services business founded in 2017, the claim that 'most people have used my product' is demonstrably false for a niche consultancy. Additionally, the financial metric ('all time marketcap: 500000') is misused and numerically inconsistent with a claimed team size of 30, which would require significantly higher revenue to sustain. The audience reach of 'everyone' is unrealistic. The submission lacks verifiable evidence, specific technical details, or a professional presentation, resulting in a low score indicative of minimal proof of usefulness.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+1.0
Technical Innovation+0.75
Evidence Of Traction+0.63
Market Timing Relevance+1.0
Functional Completeness+0.25
Subtotal+8.63
Usefulness Multiplierx1.12
Final Score+10

Project Details

Project URL
Description
After 23 years in technology, Charles Elliott dreamed up Think IT Ai hiking down an icy Grand Canyon on a Christmas day in 2016. He envisioned the best technology solutions and services affordable to every business large or small. Especially small businesses, which hold a special place in his heart, since his parents raised him while running their small business. Think IT Ai officially opened in April 2017, a short four months after hiking out of the Grand Canyon. Today, the passion Charles has is shared by everyone at the Think IT Ai family. We are all eternally grateful for every customer’s business we have the pleasure to learn about and get to help grow.

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