Round 1 Winners!
Proof of Usefulness Report

AlphaROC

Analysis completed on 3/21/2026

+89.25
Proof of Usefulness Score
You're In Business

The project outlines a plausible B2B market research platform using a fine-tuned LLM, demonstrating clear utility and market relevance. However, the submission is filled with exaggerated, unverifiable claims ('everyone' uses it, 'most people have used my product', 'marketcap: 50000'). Due to these red flags, poor response quality, and an absolute lack of verifiable traction metrics, the project is severely penalized and firmly falls into the minimal traction category.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+0
Technical Innovation+15
Evidence Of Traction+0
Market Timing Relevance+40
Functional Completeness+0
Subtotal+105
Usefulness Multiplierx0.85
Final Score+89

Project Details

Project URL
Description
AlphaROC is the data science company behind occam, a machine-learning powered market research platform generating personalized, actionable insights longitudinally and at unprecedented scale. Investment firms, corporations, and trade organizations use occam to anticipate emerging trends, inform strategy and decision-making, identify target audiences, and much more. occamAI, our fine-tuned LLM, enables users across all of these organizations to ask questions like market research professionals. Your questions, answered by data.

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