SteppeChange
Analysis completed on 3/23/2026
SteppeChange offers standard data science and machine learning consulting services with a claimed team size of 125 and longevity since 2011, indicating some baseline business viability. However, the submission is penalized heavily due to severe red flags, including highly exaggerated claims ('most people have used my product', audience reach 'everyone') and contradictory financial metrics (conflating 'all time marketcap' with monthly revenue). The lack of verifiable specific traction and poor response quality result in a heavily discounted Proof of Usefulness score.
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Score Breakdown
Project Details
Algorithm Insights
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