Proof of Usefulness Report

Aben

Analysis completed on 3/23/2026

+274.13

Proof of Usefulness Score

Gaining Momentum

Aben attempts to solve a genuine B2B marketing attribution problem using POS and card network data. However, the submission is plagued by unsupported and exaggerated claims, such as stating its reach is 'everyone' and that 'most people have used my product'. While the 30-person team and 100K restaurant data integration suggest a legitimate baseline operation, the extremely poor response quality, vague revenue metrics formatted as 'all time marketcap: 2500000', and hyperbolic traction inputs necessitate a 0.5 quality penalty across multiple criteria.

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Score Breakdown

Real World Utility+162.5

Audience Reach Impact+15.0

Technical Innovation+75.0

Evidence Of Traction+12.5

Market Timing Relevance+55.0

Functional Completeness+2.5

Subtotal+322.5

Usefulness Multiplierx0.85

Final Score+274

Project Details

Project URL

joinaben.com

Description

MarketingOS that alerts, executes, & measures ROI from proprietary card + POS data Aben means open in Danish, and we’re sticklers for transparency. Adhering to data science principles on day one, Aben was founded on the idea that the data available to the largest enterprises should be democratized for all businesses to leverage. Through our proprietary data and machine learning algorithms, we have established a single truth through real world spend across local markets, complete with recommendations, marketing automation, and measurement for all. With POS data from over 100K restaurants and card data from the networks - including the customer behind the card - Aben collapses the marketing stack with the only Marketing OS a business could ever need.

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