Proof of Usefulness Report

Ai-Future

Analysis completed on 3/8/2026

+27.6

Proof of Usefulness Score

You're In Business

The submission appears to be a repurposed or spoofed biography of a public speaker/futurist rather than a genuine technology product. It includes wildly exaggerated or nonsensical metrics (e.g., 'everyone' as audience reach, 'most people have used my product', 'all time marketcap: 500000'). With no verifiable software product, zero technical innovation ('Management Consulting' is the only listed tech), and poor response quality, the project receives a minimal score indicative of an invalid or low-effort submission.

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+12.5

Audience Reach Impact+10

Technical Innovation+0

Evidence Of Traction+0

Market Timing Relevance+5

Functional Completeness+2.5

Subtotal+30

Usefulness Multiplierx0.92

Final Score+28

Project Details

Project URL

ai-future.net

Description

🔷️ #HIGH #CREDIBILITY #SPEAKER ✅Uncanny Forecasting Track Record (AI-DigiTech, Socio-Economic). ✅Spoken in every US state, Canadian province, many countries. ✅More than 700 Delighted Audiences. ✅Ranked Among "Top Futurists of All Time" (Encyclopedia of Future). ✅Coined the phrase: "Thinking Globally, Acting Locally." 🔷️ #DIVERSE #AUDIENCES / #VENUES: Boardrooms to 5,000-seat Auditoriums ✅A-Z of COMPANIES (examples): Apple, BICC, Chase, Dell, Exxon, First Data, Ford, GM, HP, IBM, J&J, KFC, London Life, Marriott, Nokia, Olivetti, P&G, Qualcomm, Radisson, Shell, Toyota, United Tech, VW, Xerox, Zenith ✅ASSOCIATIONS (examples): ABA, AIIM, APTA, ARDA, BAI, CCGD, CSAE, CUNA, DPMA, FMI, FPA, GPMA, LOMA, NARF, NAWGA, NFPA, NRF, PATA, RIMS 🔷️ #NEXT #BOOK (due mid-2020): ✅"AI-FUTURE: Reinventing Everything." . 🔷️ #OTHER #BEST #SELLERS: ✅G-FORCES. ✅OPTIMISTIC OUTLOOKS. ✅FUTURE CONSUMER. ✅BIZNETS. ✅FUTURISTIC LEADERSHIP. ✅FUTURE LIVING

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