Proof of Usefulness Report

RocketFin

Analysis completed on 1/29/2026

+2
Proof of Usefulness Score
You're In Business

The submission contains critical inconsistencies and red flags. The project description is a job listing for a completely different company ('TuMeke') specializing in ergonomics, while the project name ('RocketFin') and business type refer to B2B credit scoring. Additionally, the traction claim ('most people have used my product') is factually impossible and hyperbolic. The submission appears to be incoherent or spam, lacking verifiable real-world utility or traction.

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Score Breakdown

Real World Utility+1.25
Audience Reach Impact+0.00
Technical Innovation+0.00
Evidence Of Traction+0.00
Market Timing Relevance+1.00
Functional Completeness+0.00
Subtotal+2.25
Usefulness Multiplierx0.88
Final Score+2

Project Details

Project URL
Description
We are looking to hire a machine learning engineer to join our six person team. The ideal candidate is someone with deep expertise in building production CV models, but is also comfortable getting their hands dirty understanding customer needs \u0026amp; setting product direction. This person will shape our engineering culture and help cement TuMeke as a world class ML organization. Here are some of the challenges you'll work on in our team:\n\n* Developing novel network architectures to predict 3D joint information from 2D camera data.\n* Improving the accuracy of our human pose estimator.\n* Using Apple MLKit/ARKit to take advantage of rich depth data now available on iPhone cameras.\n* Algorithms to estimate repetition/duration/frequency of manual material handling tasks from 2D joint information.\n* Implementing new biomechanical risk models to measure worker safety.

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