Round 1 Winners!
Proof of Usefulness Report

Sohan Dsouza

Analysis completed on 3/13/2026

+31.05
Proof of Usefulness Score
You're In Business

The submission describes a legitimate and highly qualified professional background in computational social science, OSINT, and misinformation research. However, the provided project metrics are entirely unverifiable, exaggerated, or nonsensical ('most people have used my product', 'all time marketcap: 500000', 'everyone' for audience reach). Given the lack of a tangible product and the low quality of the submitted claims, the submission receives a minimal traction score despite the strong individual credentials.

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Score Breakdown

Real World Utility+15.00
Audience Reach Impact+1.00
Technical Innovation+1.50
Evidence Of Traction+1.25
Market Timing Relevance+8.00
Functional Completeness+0.25
Subtotal+27
Usefulness Multiplierx1.15
Final Score+31

Project Details

Project URL
Description
Sohan Dsouza offers his expertise as a consultant in the areas of computational social science research; software engineering, especially for business intelligence; and open-source intelligence investigation of misinformation and influence operations. Sohan is working on ways to solve discovery, veracity, and mobilization problems using a combination of technology and social science. His research background includes crowdsourcing, strategic cooperation, incentive mechanisms, social mobilization, AI ethics, and computer-mediated negotiation. He is interested in the intersection between disinformation and political polarization, and in AI-powered deception, and their implications for platform design and policy. He is a trained and experienced practitioner of open-source intelligence (OSINT) for exposing manipulation online, and a Visiting Researcher on the subject with the Max Planck Institute for Human Development. Sohan brings years of experience in academia, primarily in computational social science research, along with years of experience in industry as a software engineer. His formal education spans Computer Information Systems (BS), IT Management (MBA/PGDM), Informatics (MSc), and Media Arts and Sciences (SM). Sohan's work has been published in Nature, PNAS, Transport, and IEEE intelligent Systems, and has been covered by major media outlets including the New York Times, BBC, NPR, Guardian, New Scientist, Scientific American, and Associated Press.

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