Proof of Usefulness Report

Scarlett Nova

Analysis completed on 2/19/2026

+42

Proof of Usefulness Score

You're In Business

The project represents a legitimate but small-scale AI consultancy based in Ottawa, confirmed via external search (Podcast appearances by CEO Christopher Dore). However, the submission data is of extremely poor quality, containing demonstrable falsehoods (claiming 'most people' have used the product) and nonsensical data ('marketcap' listed as revenue, 'Internet' as sole technology). While the underlying business exists and operates in a high-demand sector (AI services), the submission's lack of professionalism and verifiable traction metrics results in a score reflecting minimal proven utility and high uncertainty.

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+60

Audience Reach Impact+10

Technical Innovation+20

Evidence Of Traction+20

Market Timing Relevance+80

Functional Completeness+10

Subtotal+28.25

Usefulness Multiplierx1.15

Final Score+32

Project Details

Project URL

scarlettnova.com

Description

AI is everywhere these days—startups with tons of funding and experts from top universities seem to be making all the headlines. And while new AI apps pop up daily, many businesses are still wondering: where do we even start? The challenge isn't just about finding the right AI solution—it's figuring out which one will bring the most value and how to quickly get it off the ground. That’s where we come in. We help businesses navigate the world of AI and get their first version up and running smoothly.

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