Proof of Usefulness Report

AlephD

Analysis completed on 2/7/2026

+418
Proof of Usefulness Score
Certified Problem Solver

AlephD was a legitimate, successful AdTech startup founded in 2012 and acquired by AOL in 2016. While the underlying technology and historical traction were significant (tier-one publisher clients, successful exit), the submission itself is of very low quality, containing outdated claims ('early-stage'), hyperbolic audience data ('everyone'), and nonsensical traction evidence ('most people have used my product'). The score reflects the historical merit of the project severely discounted by the poor quality and untimeliness of the submission data.

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Score Breakdown

Real World Utility+127.5
Audience Reach Impact+84.0
Technical Innovation+120.0
Evidence Of Traction+112.5
Market Timing Relevance+20.0
Functional Completeness+2.5
Subtotal+466.5
Usefulness Multiplierx0.89
Final Score+418

Project Details

Project URL
Description
AlephD is an early-stage, well-funded startup, with offices in Paris and New York City. The company was founded in 2012 to bring real-time technology and algorithmic decisioning to publishers. The team is composed of top international engineers, passionate data scientists and industry experts who believe programmatic trading will reveal the true value of ad inventory. They specialize in solving complex problems (big data infrastructure, real-time decisioning) on behalf of tier one media companies.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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