Round 1 Winners!
Proof of Usefulness Report

Striki-Ai

Analysis completed on 3/20/2026

+24.31
Proof of Usefulness Score
You're In Business

Striki-Ai presents itself as a content site for AI and Machine Learning. However, the submission lacks substantive verifiable data and features highly exaggerated claims, such as an audience reach of 'everyone' and traction stating 'most people have used my product.' Furthermore, it lists an irrelevant 'marketcap' metric in place of monthly revenue. The absence of documented custom technology, coupled with unrealistic user metrics and missing fields, severely limits its Proof of Usefulness, resulting in a score reflective of minimal to no verifiable traction.

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+15
Audience Reach Impact+1
Technical Innovation+0.75
Evidence Of Traction+0.625
Market Timing Relevance+10
Functional Completeness+0.25
Subtotal+27.625
Usefulness Multiplierx0.88
Final Score+24

Project Details

Project URL
Description
striki.ai is site with posts about Machine Learning, ML, Artificial Intelligence, AI, Deep Learning and Data Science

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