Proof of Usefulness Report

AI Futures

Analysis completed on 3/17/2026

+255

Proof of Usefulness Score

Gaining Momentum

AI Futures addresses a critical DoD workforce need with valid organizational backing (Mantel Technologies) and a reported team of 30. However, the submission is severely penalized for hyperbolic, unverified claims ('most people have used my product', 'everyone' as audience) and a lack of technical depth, indicating it is a mentorship and outreach initiative rather than a scalable software product.

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+175

Audience Reach Impact+20

Technical Innovation+7.5

Evidence Of Traction+12.5

Market Timing Relevance+80

Functional Completeness+5

Subtotal+300

Usefulness Multiplierx0.85

Final Score+255

Project Details

Project URL

aifutures.us

Description

With funding from Congress, the Department of Defense has invested in identifying and developing a fully-staffed civilian workforce to research, develop, acquire, and manage highly technical emerging technologies. AI Futures, presented by Mantel Technologies, mentors and supports students that are focused in STEM careers and have an overall interest in Artificial Intelligence and Machine Learning. We employ a multifaceted initiative to inspire, engage, and network with the next generation of the AI literate workforce. We are leading multiple efforts focused on student outreach, engagement, and education, exposing students to civilian career opportunities in support of the Department of Defense's AI mission.

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