Round 1 Winners!
Proof of Usefulness Report

Unlimited

Analysis completed on 3/18/2026

+57.5
Proof of Usefulness Score
You're In Business

Unlimited Funds is a legitimate and highly innovative financial service using machine learning to replicate alternative investment returns via ETFs, solving a genuine market problem (high 2&20 fees). However, this specific submission contains severely vague and hyperbolic claims ('most people have used my product', audience is 'everyone') alongside minimal factual data points. While the underlying technology and timing are strong, the lack of verifiable submission evidence triggers significant quality penalties, resulting in a minimal traction calibration score.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+4.00
Technical Innovation+12.75
Evidence Of Traction+3.75
Market Timing Relevance+8.00
Functional Completeness+0.25
Subtotal+50
Usefulness Multiplierx1.15
Final Score+58

Project Details

Description
We are creating Tomorrow's Asset Management Company Today combining decades of investing experience with machine learning to offer alternative investments to all. Unlimited uses machine learning to create low-cost index replications of 2&20 style alternative investments like hedge funds, venture capital and private equity. We offer investors access to the returns of sophisticated investment strategies at a lower cost than traditional limited partnerships, with greater transparency and liquidity.

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