Proof of Usefulness Report

RippleMatch

Analysis completed on 1/29/2026

+482
Proof of Usefulness Score
Industry Mainstay

The project is RippleMatch, a legitimate and highly successful recruitment automation platform backed by over $34M in venture funding. It serves major enterprise clients (Amazon, eBay) and reaches 1,300+ universities, placing it in the 'Much Larger Scale' calibration tier (400-700). However, the submission itself ('BlazeStorm') contains low-quality, exaggerated placeholder data ('most people have used my product', 'space-technology'), which severely impacts the Response Quality score. Despite the poor submission effort, the verifiable real-world traction and utility of the underlying business drive a high Proof of Usefulness score.

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Score Breakdown

Real World Utility+138.0
Audience Reach Impact+85.0
Technical Innovation+56.3
Evidence Of Traction+142.5
Market Timing Relevance+44.0
Functional Completeness+2.5
Subtotal+468.3
Usefulness Multiplierx1.03
Final Score+482

Project Details

Project URL
Description
The current status quo of finding a first job is broken: Traditional career services and job boards with millions of postings aren't very helpful, and figuring out where to begin your career is a difficult and overwhelming decision. It's also not a fair contest. For many Gen Z candidates, opportunity is limited based on where they attend school and their personal networks.\n\nBy replacing job boards with matching and automation, RippleMatch eliminates the most time-intensive parts of the recruitment process for both employers and job seekers. Leading employers such as Amazon, eBay, and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.\n\nSince launching RippleMatch from a college dorm room in 2016, we've raised $34 million in venture funding, helped tens of thousands of users find jobs, expanded to 1,300+ colleges \u0026 universities, and brought on hundreds of leading employers as customers. Our tight-knit team of 100+ (\u0026 growing!) talented people work hard, celebrate wins, and care deeply about changing the way finding a job works.

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