Round 1 Winners!
Proof of Usefulness Report

Iamecon

Analysis completed on 3/17/2026

+251
Proof of Usefulness Score
Gaining Momentum

Iamecon presents a legitimate B2B economic consulting and predictive modeling value proposition backed by a Ph.D. founder. However, the submission is severely compromised by low-effort and exaggerated responses (e.g., claiming an audience reach of 'everyone' and traction stating 'most people have used my product'). While the 30-person team size and $2.5M valuation/revenue suggest a promising operation within a niche market, the stark contrast between the sophisticated company description and the vague, spam-like form fields drastically reduces the quality multipliers for traction, reach, and response quality.

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Score Breakdown

Real World Utility+150
Audience Reach Impact+5
Technical Innovation+75
Evidence Of Traction+12.5
Market Timing Relevance+50
Functional Completeness+2.5
Subtotal+295
Usefulness Multiplierx0.85
Final Score+251

Project Details

Project URL
Description
We combine academic research with cutting edge statistical tools to create industry-level predictive models that solve complex economic problems. We model and predict the consequences of changes in the market place using computational and statistical tools that take into account actions from all players within the ecosystem. Our analysis captures the industry-wide competitor response: How will the market structure change? How will competitors respond with their prices? What will the impact of new regulations be on the competitive landscape? Our analysis also captures the customers’ response: How will the change effect the overall market size? What will the network effects be? Will switching costs be effected? Using Intelligent Analytics and Modeling's comprehensive approach to impact analysis gives regulators, firms, universities and non-profits a decisive advantage when analyzing complex economic decisions. Founded in 2018 in Austin, TX by Devrim Ikizler, Ph.D with the goal of applying brand new economic research and machine learning to solve real world problems.

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