Johnson Afolabi's Work | ContraWork by Johnson Afolabi
Johnson Afolabi

Johnson Afolabi

SaaS Product Designer | UI/UX, Webflow & B2B Websites

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Followed by Arek D, Louis D, and Darrien W
Cover image for Automated Omni-Channel Content Repurposing Engine
Automated Omni-Channel Content Repurposing Engine (n8n + AI) Developed a production-grade, self-hosted content repurposing pipeline using n8n and high-speed LLM architectures. The system ingests a single source document (article, transcript, or video script) and produces seven platform-calibrated deliverables in under four seconds. The Problem: Marketing teams spend 10 to 15 hours per week manually adapting high-performing long-form assets for secondary social channels. Existing SaaS repurposing tools lock users into expensive monthly subscriptions, restrict prompt customizability, and lack custom distribution endpoints. Technical Architecture: Intake Layer: Standardized web form trigger with parameter validation for brand voice, audience profile, and raw content. Analysis & Core Extraction: Automated information extraction isolating key thesis statements, audience pain points, and viral angles. Multi-Model Sequential Drafting: Seven dedicated LLM chain nodes executing custom prompts for LinkedIn, Twitter/X, Instagram, Email Newsletters, 60-second video scripts, Telegram announcements, and SEO metadata. Mobile Dispatch Integration: Dual-part Telegram API dispatch delivering 1-tap copyable monospace blocks directly to mobile devices without hitting API character thresholds. Database Archival: Automated record creation in Google Sheets across 11 synchronized columns for long-term content asset indexing. Deliverables & Results: Fully functional n8n workflow JSON with zero external SaaS dependencies. 90% reduction in multi-channel adaptation turnaround time. Direct operational cost reduced to under $0.01 per omni-channel package. Complete documentation and credential onboarding guide.
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Automated LinkedIn Hiring Signal & AI Outbound Engine Overview: Designed and deployed an autonomous outbound lead generation system using n8n. The workflow captures hiring intent signals from LinkedIn, identifies relevant executive buyers, enriches verified contact data, and drafts contextualized sales copy through an integrated LLM. Tech Stack: n8n • Apify • SearchLeads API • OpenRouter (Nemotron LLM) • Google Sheets API • Telegram Bot API • JavaScript Core Deliverables: Automated Signal Scraping: Continuous monitoring of fresh job posts across target industries. Granular Data Filtering: Exclusion logic for staffing agencies, company headcounts over 250, and unverified domains. Multi-Source Enrichment: Automated discovery of decision-makers (C-Level, VP, Director) with validated work emails. Context-Aware Email Generation: Custom prompting architecture that maps the open role's requirements directly into a tailored value proposition. Data Synchronization & Alerts: Bi-directional sync with Google Sheets and real-time push alerts via Telegram. Impact: Replaces 10+ hours of weekly manual SDR prospecting with a continuous background process that delivers high-intent, enriched leads directly to the sales inbox.
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Cover image for Automated B2B Lead Gen Engine
Automated B2B Lead Gen Engine from LinkedIn Jobs (n8n + Apify + Apollo + Gemini) Project Overview Hiring intent is the highest-converting B2B buying signal. When a company posts an open role on LinkedIn, they have an active pain point, immediate budget, and executive mandate to solve that problem. This automated production engine runs every morning without manual intervention. It scrapes fresh LinkedIn job postings via Apify, filters out non-target companies, queries Apollo.io (http://Apollo.io) to identify the exact decision-maker (Founder, CEO, VP, or Head of Department) with their verified work email, and uses Google Gemini to write hyper-personalized outbound pitch drafts directly into Google Sheets. Visual Showcase & Live Architecture 1. Verified Leads Database & AI Outbound Drafts (Google Sheets) Preview unavailable Automated output storing company data, verified decision-maker email, LinkedIn profile URL, hiring intent triggers, and ready-to-send AI cold email copy. 2. End-to-End n8n Engine Blueprint Preview unavailable Full production pipeline orchestrating Apify actor execution, domain validation, Apollo personnel search, Gemini structured output parsing, and real-time sheet sync. Technical Workflow Architecture Targeted Job Extraction (Apify): Triggers an automated actor scraping LinkedIn job postings based on target titles, geographic focus, and date posted. Data Sanitization & Strict Gatekeeping: Filters dataset entries by company size (< 250 headcount), eliminates recruitment agencies and HR service providers, and verifies live web domain resolution. Personnel Enrichment & Email Validation (Apollo.io (http://Apollo.io)): Targets executive personas matching the hiring team, executes verification checks against corporate MX records, and retrieves direct work emails and LinkedIn URLs. Context-Aware Email Drafting (Google Gemini): Analyzes job descriptions, extracts company pain points, and drafts personalized 3-sentence email openers with high deliverability scores. Centralized Data Lake (Google Sheets / CRM Sync): Logs verified contact records, generated copy, and campaign statuses, ready for direct one-click import into Smartlead, Instantly, or Clay. Key Performance Metrics Runtime Execution: 2 minutes per batch run (50–100 validated leads). Email Deliverability: 98%+ valid deliverability via Apollo API verification. Workflow Efficiency: Replaces 10–15 hours per week of manual SDR prospecting. Data Quality: 100% deduplicated against previous pipeline runs. Deliverables Included Complete standalone n8n workflow JSON blueprint ready for self-hosted or n8n cloud instances. Pre-configured Apify scraper actor setup and Apollo.io (http://Apollo.io) API integration. Custom Google Sheets outbound tracking dashboard with schema validation. Gemini prompt engineering optimized for high cold-outreach open and reply rates. 1-on-1 Loom video walkthrough and handover documentatio
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Cover image for I automated Facebook group lead
I automated Facebook group lead generation using n8n and DeepSeek AI. Here is the exact architecture to position yourself as the first responder to hot leads. Answering questions in online communities is the best way to build B2B authority. The problem? Monitoring groups manually is a massive time sink—90% of posts are self-promotional spam, and manually scanning them means you often reply too late. This n8n workflow solves this by running the entire pipeline on autopilot: Schedule Trigger: Runs every morning at 9:00 AM. Fetch Targets: Reads target group URLs from Google Sheets. Scrape Posts: Calls Facebook scraper API to get recent posts. Fast Regex Filter: Runs local JS regex to weed out short posts and identify question patterns. DeepSeek Classification: Uses deepseek-chat to strictly verify if it's a genuine question, avoiding false positives. AI Reply Draft: DeepSeek writes a helpful, tailored reply under 120 words. Auto-Post & Log: Attempts to comment on the post automatically and logs the status to Google Sheets. Telegram Alert: Notifies you instantly with direct links to take over if needed. The Business Impact: Zero hours wasted scrolling groups. Instant expert responses to hot questions. Built-in review queue in Google Sheets. If you are looking to scale organic B2B lead gen in niche communities, this is the blueprint. #n8n #Automation #LeadGeneration #DeepSeek #GrowthHacking #SocialSelling
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