Round 1 Winners!
Proof of Usefulness Report

Social Experiments

Analysis completed on 3/18/2026

-11.4
Proof of Usefulness Score
Lab Mode

The submission contains major red flags and unverifiable, exaggerated claims (e.g., 'most people have used my product', 'audience reach: everyone'). Technical details are absent, and citing an 'all-time marketcap' of 2,500,000 for a 501(c)(3) nonprofit is highly suspicious. Due to the lack of verifiable traction and poor response quality, the project receives a negative score.

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+3.75
Audience Reach Impact-8.0
Technical Innovation+0.75
Evidence Of Traction-12.5
Market Timing Relevance+6.0
Functional Completeness-2.0
Subtotal-12
Usefulness Multiplierx0.95
Final Score-11

Project Details

Project URL
Description
Social Experiments provide 𝐅𝐑𝐄𝐄 𝐎𝐅 𝐂𝐎𝐒𝐓 cloud and AI product offerings that help grassroots nonprofits 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗱𝗼𝗻𝗮𝘁𝗶𝗼𝗻𝘀. Social Experiments is a 501(c)(3) charitable organization with a vision to empower nonprofits and cause-driven businesses with Data Analytics and Machine Learning capabilities in their Digital Transformation journey. Our mission is to enable cause-driven organizations realize their true potential by leveraging the cloud and the intelligent edge.

Algorithm Insights

Market Position
Early stage requiring focused development
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