Proof of Usefulness Report

Alirtify

Analysis completed on 3/17/2026

-3.74

Proof of Usefulness Score

Lab Mode

While the concept of using AI and NLP for supply chain risk management addresses a relevant problem, the submission contains severe red flags. The claims of 'everyone' for target audience and 'most people have used my product' for traction are highly exaggerated and completely unsupported. Furthermore, listing 'all time marketcap: 2500000' for monthly revenue indicates non-standard, questionable metrics typical of speculative tokens rather than a legitimate SaaS business, resulting in a negative overall 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+2.5

Audience Reach Impact-2.0

Technical Innovation+0.75

Evidence Of Traction-5.0

Market Timing Relevance+1.0

Functional Completeness-0.5

Subtotal-3.25

Usefulness Multiplierx1.15

Final Score-4

Project Details

Project URL

alirtify.com

Description

Alirtify is a supply chain intelligence platform that uses data from news events such as sentiments, location, and keywords to glean real-time insights. Alirtify uses news data as well as social media, blogs, and other publicly available data to reduce the noise and identify supply chain risks across an enterprise's global footprint. We utilize artificial intelligence (AI) technologies like machine learning and natural language processing to provide rapid insights by cutting through the noise of daily alerts, drastically reducing response times to curate real-time intelligence from millions of research papers, blogs and news stories.

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