Round 1 Winners!
Proof of Usefulness Report

Stratesis Technologies LLC

Analysis completed on 3/22/2026

+115.88
Proof of Usefulness Score
Gaining Momentum

The submission contains severe inconsistencies and red flags. The project is described as a quant hedge fund utilizing AI/ML, which inherently targets qualified/accredited investors, yet the audience is claimed to be 'everyone'. The traction claim ('most people have used my product') is demonstrably false for a niche financial product. Furthermore, an 'all time marketcap' of 50,000 for a 30-person team established in 2013 is highly contradictory and unviable. Due to these heavily unsupported and vague claims, a 0.5 quality penalty was applied across all metrics, resulting in a low overall score.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+10
Technical Innovation+45
Evidence Of Traction+6.25
Market Timing Relevance+15
Functional Completeness+2.5
Subtotal+128.75
Usefulness Multiplierx0.9
Final Score+116

Project Details

Project URL
Description
Stratesis is a long/short quant hedge fund implementing high return low risk strategies investing in US exchange traded liquid securities. Our proprietary curated big data, AI, and repeatable machine learning development process create a diversified, naturally hedged, long/short portfolio which is uncorrelated to the market. The portfolio is engineered to target 0 correlation and 0 beta, usually fluctuating between -0.15% and +0.15%. The strategies only enter positions when our risk/return requirements are met. Trading is fully automated, non-discretionary and accurate to the AI models to within 0.05%. Risk management is built into the strategies and trading algorithms. Leverage has averaged below 1 (no leverage, net cash) from inception through 2022, with expectations to increase leverage in the future. Stratesis maintains strong risk management policies, practices and reporting metrics to oversee its automated algorithms. Founders have a significant portion of their net worth invested alongside limited partners. Stratesis is experiencing rapid growth from new investors and existing capital appreciation. If you want to learn more and you are a qualified investor, DM Michael Cutler.

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