Proof of Usefulness Report

QFinds

Analysis completed on 1/28/2026

+38
Proof of Usefulness Score
You're In Business

QFinds is a verifiable recruitment technology startup that raised ~$244k in Seed funding (2021), but the project currently exhibits signs of stagnation or 'zombie' status. The submission contains a demonstrably false claim regarding traction ('most people have used my product'), while verifiable metrics (37 Product Hunt followers, no active job listings, potential website downtime) indicate minimal market penetration. The concept of video resumes is valid but faces saturation from major platforms like LinkedIn and TikTok.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+10
Technical Innovation+40
Evidence Of Traction+20
Market Timing Relevance+40
Functional Completeness+10
Subtotal+26.25
Usefulness Multiplierx1.05
Final Score+28

Project Details

Project URL
Description
We are on a mission to reinvent the process of job search and hiring.\n\nIn a nutshell, we are developing a mobile app for users to create and edit their video resume, so that they can find and secure their dream job without having to waste hours job-searching, answering calls and attending interviews. \n\nImagine the world where every talent gets hired quickly and efficiently, every new hire is a perfect fit, and the businesses evolve and accelerate with no time wasted. Happy talents, happy hirers, happy culture. A big win-win.\n\nJoin the revolution.

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