Round 1 Winners!
Proof of Usefulness Report

Yemba

Analysis completed on 3/22/2026

+25.85
Proof of Usefulness Score
You're In Business

The project addresses a relevant and timely need for high-quality AI vocal datasets, indicating strong market relevance and utility. However, the submission is severely undermined by vague, unsupported, and highly exaggerated claims, such as stating 'most people have used my product' while providing zero active user metrics. Due to the lack of verifiable traction, undefined technical specifics, and poor response quality, the submission receives minimum quality multipliers across multiple criteria.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+0.5
Technical Innovation+2.25
Evidence Of Traction+0.625
Market Timing Relevance+8.0
Functional Completeness+0.5
Subtotal+29.375
Usefulness Multiplierx0.88
Final Score+26

Project Details

Project URL
Description
Yemba is building the gold standard for AI singing data, offering an extensive, high-fidelity dataset designed for machine learning. Our meticulously curated vocal recordings capture the full range of human expression—breathiness, vibrato, tone shifts, and emotional nuance—paired with structured, machine-learning-ready annotations. Unlike scraped or low-quality datasets, Yemba provides legally cleared, ethically sourced vocals optimized for AI music and voice synthesis. As a SaaS platform, we deliver on-demand access to premium vocal data, allowing AI companies, music tech startups, and research labs to train more expressive, adaptable, and natural-sounding AI singers. Whether you need a foundational dataset or custom-tailored recordings, Yemba provides scalable, high-quality data infrastructure to power the next generation of AI music. Join our Early Access Program and shape the future of AI singing.

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