👻 Ghost-Recruiter: AI-Powered Autonomous Resume Screening

Architecting the future of recruitment: From 8 hours of manual grind to 15 minutes of strategic decision-making.

Ghost-Recruiter is a production-grade automation system built to solve the "Resume Black Hole" problem. It doesn't just filter candidates; it uses advanced LLM reasoning to understand context, intent, and professional depth.

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🛠 Tech Stack & Core Systems

Component	Technology	Role
Orchestrator	n8n	Logic, API handling, and error recovery paths.
Digital Brain	Google Gemini	Contextual analysis and semantic scoring.
Database	Supabase	Structured storage, candidate logs, and idempotency control.
Security	PII Protection	Ensuring personal data is handled according to best practices.

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🏗 System Architecture (The "Architect" Approach)

Unlike basic automation scripts, Ghost-Recruiter is built with Systems Thinking:

1. Ingestion Layer: Resumes are received via Webhooks or IMAP (Email) triggers.
2. Pre-processing: PDF/Docx data is parsed and cleaned using JavaScript nodes.
3. Reasoning Layer: Gemini analyzes the candidate's journey. It looks for growth, impact, and skill application rather than simple keyword matches.
4. Scoring Engine: A weighted "Match Score" is generated based on job descriptions.
5. Human-in-the-Loop: High-score candidates are pushed to a Telegram/Slack notification channel for final human approval.

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🚀 Key Features

• Idempotency: The system checks for existing records in Supabase to prevent duplicate processing.
• Retry Logic: Built-in error handling ensures that if an API call fails, the workflow retries before alerting.
• Structured Logs: Every action is logged in Supabase for full auditability.
• Scalability: Can process 1 or 1,000 resumes without increasing human workload.

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📊 Business Impact

Metric	Manual Process	Ghost-Recruiter
Time (500 resumes)	~8 Hours	~15 Minutes
Evaluation Depth	Surface/Keywords	Deep Contextual
Cost per Hire	High (Human hours)	Low (API calls)
Consistency	Low (Fatigue)	100% Consistent

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⚙️ Setup & Deployment

1. Prerequisites

• Self-hosted or Cloud n8n instance.
• Google Gemini API key (Vertex AI or AI Studio).
• Supabase project (PostgreSQL).

2. Installation

1. Clone this repository.
2. Import the Ghost-Recruiter_Workflow.json into your n8n instance.
3. Set your credentials for Gemini and Supabase.
4. Update the "Environment Variables" node with your specific job criteria.

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💎 Special Launch Offer

To celebrate our Product Hunt launch, you can get the full Ghost-Recruiter Pro template with a massive discount.

Use coupon code: LAUNCH20 at checkout to get 35% OFF!

👉 Get Ghost-Recruiter Pro on Gumroad

🤝 Connect & Collaborate

David Ignatenko AI & Automation Architect | M.Arch

• LinkedIn: linkedin.com/in/david-ignatenko-3775a6408
• Product Hunt: Ghost-Recruiter on PH
• Gumroad: Store

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Help businesses automate their hiring and get rewarded for it! 🚀 © 2026 David Ignatenko. Built with passion for efficiency.