Round 1 Winners!
Proof of Usefulness Report

JournoTECH

Analysis completed on 3/10/2026

-22
Proof of Usefulness Score
Lab Mode

While the mission of training journalists on AI and digital tools has real-world utility and good market timing, the submission contains severe red flags. Claims such as 'everyone' for audience reach and 'most people have used my product' for traction are demonstrably false. Furthermore, declaring an 'all time marketcap: 500000' with a team of 6 and internet as the only technology underscores a lack of credibility. The overall lack of verifiable traction and extremely low response quality result in a negative score, placing it well below the minimal traction threshold.

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+40
Audience Reach Impact-10
Technical Innovation+5
Evidence Of Traction-60
Market Timing Relevance+20
Functional Completeness-20
Subtotal-25
Usefulness Multiplierx0.88
Final Score-22

Project Details

Project URL
Description
JournoTECH provides accessible media and tech training for journalists, educators, newsrooms, students, and community leaders. Learn AI tools, prompt engineering, fact-checking, digital rights, and more to thrive in today’s digital world Email us: info@journotech.org

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