Round 1 Winners!
Proof of Usefulness Report

ZoomDatID Inc.

Analysis completed on 3/17/2026

+87.88
Proof of Usefulness Score
You're In Business

The submission relies on a dated 2018 CIO Review mention and makes highly exaggerated, unverifiable claims about audience reach ('most people have used my product'). Basic metrics like active users and monthly revenue are missing or conflated with a $2.5M 'all time marketcap'. Given the vague tech descriptions and lack of concrete traction data, the project falls into the minimal traction category.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact+5.0
Technical Innovation+45.0
Evidence Of Traction+6.25
Market Timing Relevance+10.0
Functional Completeness+1.25
Subtotal+92.5
Usefulness Multiplierx0.95
Final Score+88

Project Details

Project URL
Description
ZoomDat is a search platform leveraging machine learning, data analytics, and real-time search/data fusion to discover and integrate information on the internet, social media and other information sources. Our platform searches the internet, the users’ proprietary local and private data sources to perform a targeted search, and then uses machine learning to blend them all instantaneously and ‘connect the dots’ in real-time. Recognized by CIO Review Magazine as Editor's pick in the 20 Most Promising Big Data Solution Providers, 2018. https://bigdata.cioreview.com/vendor/2018/xoomdat

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