Round 1 Winners!
Proof of Usefulness Report

CloseFactor

Analysis completed on 3/23/2026

+234
Proof of Usefulness Score
Gaining Momentum

CloseFactor addresses a practical and high-value B2B problem by utilizing Generative AI for target account identification and insights. However, the evaluation is severely impacted by a low-quality submission that includes exaggerated claims (e.g., 'most people have used my product', 'everyone' as the target audience) and lacks specific technological or user metrics. While a team size of 30 implies legitimate operations and the market timing is excellent, the unsupported assertions necessitate heavily reduced quality multipliers across traction, reach, and innovation.

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Score Breakdown

Real World Utility+150.0
Audience Reach Impact+10.0
Technical Innovation+30.0
Evidence Of Traction+12.5
Market Timing Relevance+70.0
Functional Completeness+2.5
Subtotal+275
Usefulness Multiplierx0.85
Final Score+234

Project Details

Project URL
Description
CloseFactor uses Generative AI to help businesses fill their pipeline with their ICP. Using machine learning to automatically curate unstructured information about companies and extract meaningful insights that go-to-market teams can act on, CloseFactor identifies your best customers, empowering sales and marketing teams to hit their goals. Learn more at closefactor.com.

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