Proof of Usefulness Report

AI for Good Foundation

Analysis completed on 3/24/2026

+276

Proof of Usefulness Score

Gaining Momentum

The AI for Good Foundation addresses a highly relevant global problem with strong market timing and a notably large team (125). However, the submission itself is poorly constructed, featuring exaggerated and unverified claims such as an audience of 'everyone' and the impossible assertion that 'most people have used my product.' These red flags severely penalize the Quality Factors (Qi) across reach, technical innovation, traction, and overall response quality, resulting in a below-average score for an organization of its purported size.

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+180.0

Audience Reach Impact+30.0

Technical Innovation+10.0

Evidence Of Traction+20.0

Market Timing Relevance+80.0

Functional Completeness+5.0

Subtotal+325

Usefulness Multiplierx0.85

Final Score+276

Project Details

Project URL

ai4good.org

Description

What if AI were developed to serve humanity rather than commerce? AI for Good Foundation is a nonprofit driving forward technological solutions that measure and advance the UN's Sustainable Development Goals. We create impact by bringing together a broad network of interdisciplinary researchers, nonprofits, governments, and corporate actors to identify, prototype and scale solutions that engender positive change. Let's Make a World That Works For Everyone ai4good.org/get-involved/donate Founded in 2015 by a team of Machine Learning and Social Science Researchers in the US and Europe, we have operations in San Francisco, London, Ljubljana, and Christchurch.

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