Recruiting resume screening. 480 submissions annually. Manual review consuming 200 hours. Built n8n workflow. Zero manual reading. Systematic scoring. THE RECRUITING PROBLEM: Every resume requiring manual processing. Recruiter downloads document from email or applicant tracking system. Reads entire resume completely - work history, education, skills sections. Manually notes years of experience, education level, technical skills mentioned. Calculates total years of experience manually by reading job dates. Assigns qualification score subjectively based on recruiter judgment. 25 minutes per resume. 480 submissions annually = 200 hours consumed. Quality audit revealed 18.7% error rate across all resume reviews. Inconsistent scoring between recruiters. Manual calculation mistakes counting experience years. Strong candidates overlooked during rush periods. Incomplete database entries missing contact information. THE n8n AUTOMATION: 8-node workflow with automatic scoring: Node 1 - Google Drive Trigger: Monitors resume folder Node 2 - Download Resume: Retrieves document Node 3 - Parse Resume: Extracts candidate data Node 4 - Score Candidate: Calculates experience, education, skills scores Node 5 - Merge Binary: Combines metrics with document Node 6 - AI Assessment: Generates candidate evaluation Node 7 - Log Database: Updates tracking spreadsheet Node 8 - Notify Team: Alerts recruiters via Slack EXTRACTION: Personal - name, email, phone, location, LinkedIn Experience - company, position, dates, achievements Education - institution, degree, field, graduation date Skills - technical skills, soft skills, languages Additional - certifications, summary SCORING LOGIC: ```javascript // Experience (40 points max) if (years >= 5) score += 40; else if (years >= 2) score += 25; else score += 10; // Education (30 points max) if (degree === 'PhD') score += 30; else if (degree === 'Master') score += 25; else if (degree === 'Bachelor') score += 20; // Skills match (30 points max)

Hey everyone, We’re two co-founders of Virad-AI. The AI system itself is called Neun. Neun is an AI system that generates complete marketing strategies end-to-end. What it does: - Ingests structured business inputs (product, ICP, value proposition, constraints) - Performs market and competitor research - Analyzes positioning and opportunities - Writes a full marketing strategy document (channels, messaging, priorities, execution plan) Goal: . Automate and compress marketing strategy creation from weeks into hours. . Replace whole marketing team , as every 2-3months we will add new features to Neun Current state: - Beta - Actively testing strategy quality and consistency - No payments We’re looking for 6–7: - SaaS founders - Agency owners Offer: - Free access for 1.5 months - In exchange for direct feedback on output quality, accuracy, and failure cases This is not a sales post. We’re validating the system. If you want to test it, reach out via the Contact Us section: https://virad-ai.lovable.app Open to technical questions or criticism.