Proof of Usefulness Report

Catalyte

Analysis completed on 1/17/2026

+659
Proof of Usefulness Score
Category Standard

Catalyte is a well-established workforce development company (founded 2000) with verified revenue of ~$43M and ~300-700 employees, placing it significantly above the calibration baseline. The project leverages AI and predictive analytics to solve critical talent gaps (DEI/Tech hiring), demonstrating high real-world utility. However, the submission itself contained low-quality, inaccurate placeholder text (e.g., audience reach: 'everyone', traction: 'most people have used my product'), which required applying negative Quality Factors to Reach and Traction metrics despite the strong underlying business fundamentals. The score reflects the high value and scale of the entity, adjusted downward for the poor quality of the application evidence.

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Score Breakdown

Real World Utility+225
Audience Reach Impact+128
Technical Innovation+112
Evidence Of Traction+161
Market Timing Relevance+85
Functional Completeness+5
Subtotal+716
Usefulness Multiplierx0.92
Final Score+659

Project Details

Project URL
Description
Catalyte advances human potential for the digital economy. We use artificial intelligence to identify individuals, regardless of background, who have the innate potential and cognitive ability to be great software developers. \n\nFor over 15 years, Catalyte’s predictive analytics platform has hired, upskilled and deployed high-performing teams to deliver product engineering and enterprise applications for Fortune 500 companies. Our hiring model and intensive onboarding process, rapidly create teams that have exponentially higher levels of production and quality than anyone else. \n\nWith development centers in Baltimore, Chicago and Portland, Oregon, Catalyte has created a diverse and US-based technology workforce to help companies scale software innovation.
Audience Reach
everyone
Target Users
everyone
Technologies
Software Development, Analytics, Film
Traction Evidence
most people have used my product

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