Round 1 Winners!
Proof of Usefulness Report

SGX Analytics

Analysis completed on 3/16/2026

+306.38
Proof of Usefulness Score
Certified Problem Solver

SGX Analytics represents an established AI and data science consultancy with a substantial stated team size and relevant enterprise experience. However, the submission contains severely hyperbolic and implausible claims (e.g., listing 'everyone' as the target audience and claiming 'most people have used my product' for B2B consulting traction) that undermine its credibility. The score reflects strong market relevance and utility in the AI consulting sector, heavily penalized by poor submission quality, vague metrics, and unsupported reach claims.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+150.0
Audience Reach Impact+10.0
Technical Innovation+75.0
Evidence Of Traction+12.5
Market Timing Relevance+70.0
Functional Completeness+5.0
Subtotal+322.5
Usefulness Multiplierx0.95
Final Score+306

Project Details

Project URL
Description
SGX Analytics, LLC is a data strategy and data science consulting firm based in New York City with practical experience in building artificial intelligence (A.I.) systems for business applications in trading, structured finance, credit risk, arts & entertainment, advertising, publishing, telecom, P&C, and life insurance. Our principals and advisors have many years of experience in data science and quantitative analysis, having worked for a number of Fortune 100 companies as well as hedge funds and even startups. We have created value for the companies we have worked for and/or advised as senior data strategists, data scientists, or quantitative analysts. We have been able to build first of their kind solutions which have become intellectual property assets (patents) for our clients. We can identify areas of your business that can benefit from machine learning and automation through cost savings and/or increased revenue and/or arbitrage opportunities. After identifying critical and profitable areas in your business, we can lead data science and engineering teams either on or offsite to design, prototype, and deploy A.I. systems to give your business a competitive edge. Our principals and talented staff cover the full spectrum of the data science stack, and have been the main inventors of over 20 issued machine learning and information retrieval patents, and have developed scalable A.I. models for many industries.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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