GenuineScreen
Executive Summary
Vision Statement
Empower businesses to confidently hire remote talent by making video interviews secure, insightful, and resistant to deception—restoring trust and efficiency to the global hiring process.
Problem Summary
Hiring managers for remote roles increasingly struggle to distinguish genuine, qualified candidates from imposters or AI-assisted applicants. Written responses are often flawless, but real-time video calls reveal gaps in true expertise, communication skills, and cultural fit. The rise of AI tools that assist candidates in real-time during interviews further complicates the process, making traditional screening methods unreliable.
Proposed Solution
Develop a SaaS platform that integrates with popular video conferencing tools to deliver real-time candidate authenticity analytics. Features include dynamic, unscripted question generation, behavioral and micro-expression analysis, device and connectivity verification, and AI-detection to flag suspicious behaviors. The platform provides hiring managers with actionable insights and risk scores, streamlining the identification of genuine, high-quality remote talent.
Market Analysis
Target Audience
The ideal users are hiring managers, recruiters, and small business owners who regularly hire remote or freelance workers, especially for technical or specialized roles. They value efficiency, authenticity, and cultural fit, and are frustrated by the time wasted on unqualified or deceptive applicants. Tech startups, agencies, and SMBs with distributed teams are particularly strong candidates.
Niche Validation
The Reddit post and its top comments provide strong validation for the pain point. Multiple experienced business owners report a surge in imposters and AI-assisted applicants, leading to wasted time and hiring mistakes. The upvotes and engaged discussion confirm that this is a widespread, acute problem for remote hiring. Broader web research shows a growing market for video interview tools, but few directly address real-time authenticity or AI-detection, indicating a clear opportunity.[3]
Google Trends Keywords
Market Size Estimation
Focusing on SMBs, tech companies, and agencies hiring remotely in North America and Europe, the SAM is estimated at $500 million, based on the subset of organizations actively seeking advanced candidate screening and authenticity tools.
A realistic SOM for a new entrant with a differentiated feature set is $5–10 million in annual recurring revenue within 3–5 years, capturing 1–2% of the SAM through targeted go-to-market efforts and integrations with leading ATS and video platforms.
The global video interviewing software market is projected to exceed $2.5 billion by 2028, driven by the remote work boom and increasing adoption of virtual hiring platforms. This includes all businesses conducting remote hiring worldwide. source
Competitive Landscape
Key competitors include HireVue, VidCruiter, and Modern Hire, all of which offer video interview platforms with some AI features. However, most focus on scheduling, basic analytics, and candidate experience, not real-time AI-detection or authenticity scoring. Emerging startups like Metaview and Checkr offer related solutions, but none combine dynamic question generation, behavioral analytics, and device verification in a single, easy-to-integrate SaaS. This creates a strong opportunity for differentiation.
Product Requirements
User Stories
As a hiring manager, I want to schedule and conduct video interviews with real-time candidate verification.
As a recruiter, I want dynamic, unscripted questions generated to test genuine expertise.
As a business owner, I want analytics and risk scores to help me decide who to advance in the hiring process.
As an admin, I want to integrate the platform with my ATS and video conferencing tools.
MVP Feature Set
Video interview scheduling and recording
Real-time device and connectivity verification
Dynamic question generation (AI-powered)
Behavioral and micro-expression analytics
Candidate authenticity/risk scoring dashboard
Basic integrations with Zoom/Google Meet
Non-Functional Requirements
GDPR and EEOC compliance
Secure, encrypted video storage
System uptime >99.5%
Scalable to support 100+ concurrent interviews
Key Performance Indicators
Number of interviews conducted per month
Reduction in time-to-hire
Percentage of flagged imposters or AI-assisted candidates
Customer retention rate
Net Promoter Score (NPS) from hiring managers
Data Visualizations
Visual Analysis Summary
The competitive landscape for remote video interview platforms is crowded, but few offer advanced authenticity detection. A bar chart comparing feature sets of leading platforms highlights GenuineScreen's unique position.
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Go-to-Market Strategy
Core Marketing Message
Stop wasting time on imposters and scripted answers—GenuineScreen helps you identify real talent and ensure every remote hire is the right fit, every time.
Initial Launch Channels
- Launch targeted posts and case studies in r/recruiting, r/smallbusiness, and r/remotejobs
- Demo and collect leads via Product Hunt and BetaList
- Partner with remote work agencies and HR tech newsletters for early adopter outreach
Strategic Metrics
Problem Urgency
High
Solution Complexity
High
Defensibility Moat
The defensibility comes from proprietary behavioral analytics models, continuous AI-detection tuning, and integrations with major video and ATS platforms. As the system collects more data, its accuracy and value increase, creating a data network effect and high switching costs.
Source Post Metrics
Business Strategy
Monetization Strategy
Adopt a subscription-based model with tiered pricing based on number of hires/interviews per month. Offer a free trial or limited free tier, with premium features (AI-detection, advanced analytics, integrations) available on paid plans. Enterprise custom pricing for large teams or integrations.
Financial Projections
Assuming 200 SMB customers at launch, each paying $100/month, initial MRR would be $20,000. With moderate growth and upselling to larger organizations, MRR could reach $100,000+ within 24 months.
Tech Stack
Python with FastAPI for rapid development, scalable APIs, and integration with machine learning and video processing libraries.
PostgreSQL for structured candidate/interview data and analytics; Redis for real-time session management.
Next.js for its robust SEO, performance, and React ecosystem compatibility.
- Zoom and Google Meet APIs for video integration
- OpenAI API for dynamic question generation and AI-detection
- Stripe for payments
- AWS S3 for secure video storage
Risk Assessment
Identified Risks
- Rapid evolution of AI tools may outpace detection capabilities, leading to false negatives.
- Privacy or compliance concerns around video analysis and behavioral data.
Mitigation Strategy
- Invest in continuous model updates and ethical AI partnerships; offer transparent opt-in/consent flows and regular compliance audits.