Round 1 Winners!
Proof of Usefulness Report

Salesblock

Analysis completed on 3/17/2026

+110
Proof of Usefulness Score
Gaining Momentum

Salesblock targets a valid B2B sales problem using AI, but the submission is undermined by vague and highly exaggerated claims (e.g., 'most people have used my product', targeting 'everyone'). A stated team size of 30 suggests some organizational scale, but the lack of verifiable metrics, generic technical details, and confusing revenue reporting (stating market cap instead of monthly revenue) warrant a 0.5 Quality Factor penalty across all categories. The project falls into the 'Minimal traction' tier pending credible evidence.

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Score Breakdown

Real World Utility+62.5
Audience Reach Impact+5.0
Technical Innovation+22.5
Evidence Of Traction+2.5
Market Timing Relevance+25.0
Functional Completeness+2.5
Subtotal+120
Usefulness Multiplierx0.92
Final Score+110

Project Details

Project URL
Description
We proactively help our clients elevate their sales performance by simplifying the way sellers and buyers engage together. Using AI and Machine Learning Algorithms we align the sales process and the buyer’s journey to predict and prescribe the best possible sales activity at the right time in the sales cycle increasing buyer engagement.

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