Round 1 Winners!
Proof of Usefulness Report

Codealyze

Analysis completed on 3/16/2026

+10
Proof of Usefulness Score
You're In Business

The submission describes an unsupported Machine Learning & Data Science agency with significant red flags. Claims such as reaching 'everyone' and having a market cap of 2.5M for a 6-person team are highly improbable and unverified. There is no discoverable digital footprint or verifiable evidence of traction, resulting in minimal base scores and the lowest quality multipliers across all categories.

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Score Breakdown

Real World Utility+6.25
Audience Reach Impact+0.0
Technical Innovation+3.0
Evidence Of Traction+0.0
Market Timing Relevance+2.5
Functional Completeness+0.0
Subtotal+11.75
Usefulness Multiplierx0.85
Final Score+10

Project Details

Project URL
Description
Codealyze is a Fintech startup that specializes in providing Machine Learning & Data Science services to companies seeking simplified, automated and intelligent applications. We analyze complex data and deliver faster, more accurate results in a large scale. Our machine learning products and algorithms act as a force multiplier to existing business processes and add value by enabling real time decisions. Machine Learning algorithms include: -Fraud Detection -Image Recognition -Pattern Recognition At Codealyze we specialize in Fraud Detection solutions for financial institutions by leveraging the latest in Machine Learning and Deep Learning solutions.

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