Proof of Usefulness Report

Add Value Machine

Analysis completed on 1/24/2026

+228
Proof of Usefulness Score
Gaining Momentum

Add Value Machine addresses a critical market need—securing Generative AI for enterprises—with verified external traction including AWS Partner status and a pilot with ADCB. However, the submission itself was of extremely low quality, featuring hyperbolic claims ('most people have used my product') and inaccurate audience definitions ('everyone'). While the underlying business is a promising seed-stage B2B venture in a high-growth vertical, the score is penalized heavily by the lack of professional detail in the input data.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+21.25
Audience Reach Impact+3.20
Technical Innovation+9.75
Evidence Of Traction+5.63
Market Timing Relevance+9.50
Functional Completeness+0.50
Subtotal+49.83
Usefulness Multiplierx0.92
Final Score+228

Project Details

Description
Add Value Machine's mission is to add guardrails and security around generative AI models. Our platform includes role-based access controls, audit logging, and prompt policies. Customers use our platform to securely host models within their environment and allow them to use enterprise data within our platform.

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