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5 contributions to AI Automation Society
Applying to international universities shouldn’t feel like a full-time job.
I solved this by automating the entire outreach process. Instead of emailing universities one by one, I enter my profile once. The system finds relevant universities, contacts their admissions offices, and follows up automatically. What changes isn’t just speed its the outcome. You go from waiting on one reply to getting responses from multiple universities, which means real options and the ability to choose the best fit. Less stress manual work. More control over where you study. i'm looking for collaborations to sell this automation !
Applying to international universities shouldn’t feel like a full-time job.
Stop paying people to do work a $20/month system can finish in seconds. 🛑
Most businesses are still: • Manually scraping leads • Copy-pasting data between tools • Wasting hours on “busy work” that doesn’t close deals That’s exactly why I built the system you see here 👇 It’s a fully automated lead generation engine that: ✅ Pulls high-intent leads directly from Google Maps ✅ Automatically enriches the data using Apify (no manual research) ✅ Sends everything into a clean Google Sheet, ready for your sales team If your sales process still depends on manual work, you’re bleeding time and money without realizing it. I’m opening 2 spots this month to help businesses automate their lead flow. DM “SYSTEM” and I’ll personally send you a breakdown of how this exact automation works.
Stop paying people to do work a $20/month system can finish in seconds. 🛑
0 likes • 2d
Raq 3ajbani f la creation de contenu
𝗜’𝗺 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗮 $𝟯,𝟬𝟬𝟬/𝗺𝗼𝗻𝘁𝗵 𝗛𝗥 𝗿𝗼𝗹𝗲 𝘄𝗶𝘁𝗵 𝟰 𝗻𝗼𝗱𝗲𝘀 𝗶𝗻 𝗻𝟴𝗻.
𝗜’𝗺 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗮 $𝟯,𝟬𝟬𝟬/𝗺𝗼𝗻𝘁𝗵 𝗛𝗥 𝗿𝗼𝗹𝗲 𝘄𝗶𝘁𝗵 𝟰 𝗻𝗼𝗱𝗲𝘀 𝗶𝗻 𝗻𝟴𝗻. I saw it happen again yesterday: a growing agency drowning in resumes. Their team spends hours checking LinkedIn profiles, downloading CVs, extracting info, rewriting cover letters, and emailing candidates… every single day. The result? ✅ Overworked employees ✅ Delayed candidate responses ✅ Missed top talent ✅ Lost opportunities But what if all of this could happen automatically, without lifting a finger? Here’s how some smart teams are handling it now: 1️⃣ Candidate submits LinkedIn + CV via a simple form 2️⃣ The system extracts and analyzes the data automatically 3️⃣ AI creates a fully structured CV / LinkedIn recommendations 4️⃣ AI drafts a cover letter + branding suggestions 5️⃣ Everything is logged, stored, and emailed instantly The businesses who adopt this don’t just save hours — they unlock growth. They don’t compete with time; they compete with speed and precision. If your team is still manually handling candidate profiles… your competitors are already one step ahead. 💡 Want me to show how this workflow can double your HR output without hiring more staff? 📩 DM me “Automate HR” and I’ll share the blueprint I just implemented for multiple agencies.
𝗜’𝗺 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗮 $𝟯,𝟬𝟬𝟬/𝗺𝗼𝗻𝘁𝗵 𝗛𝗥 𝗿𝗼𝗹𝗲 𝘄𝗶𝘁𝗵 𝟰 𝗻𝗼𝗱𝗲𝘀 𝗶𝗻 𝗻𝟴𝗻.
0 likes • 3d
I like it and love it..
The n8n Template Library That Closed 8 Clients In One Month 🔥
Built 12 document workflows. Realized 80% of logic was identical. Only difference: trigger, schema, destination. Created template library. Deploy new workflows in 20 minutes vs 8 hours. Template library closed 8 clients last month. Couldn't have handled that volume building custom for each. THE TEMPLATE TYPES: Invoice Processing: Email → Extract → Validate → Post to accounting Contract Analysis: Upload → Extract parties/terms → Route for signature Form Submission: Submit → Extract responses → Post to CRM Receipt Processing: Photo → Extract → Categorize → Log expense Application Processing: Upload → Extract → Score → Route to team Five templates cover 90% of document automation needs. THE CUSTOMIZATION POINTS: TRIGGER: Email/folder/webhook/manual SCHEMA: Define fields to extract VALIDATION: Client-specific business rules DESTINATION: Where data goes (API/database/spreadsheet) NOTIFICATIONS: Slack/email/Teams 20 minutes to customize per client vs 8 hours from scratch. THE DEPLOYMENT: Sales call identifies need. Match to template. Day 1: Client sends samples Day 2: Customize template, connect systems Day 3: Test with 10 samples, refine Day 4: Deploy to production, monitor first 50 Day 5: Handoff working system 5-day implementation vs 3-week custom builds. CLIENT EXAMPLE: Healthcare supplier, 120 invoices monthly, 8 vendors. Customization: Connected Gmail, added vendor list, connected QuickBooks API, customized Slack, added healthcare validation. Time: 45 minutes. Deployed same day. THE BUSINESS IMPACT: Before templates: 2-3 clients monthly (limited by build time) After templates: 8 clients monthly (limited by sales, not delivery) Revenue increased 3x. Not working harder, working smarter. THE TEMPLATE STRUCTURE: n8n workflow JSON (import-ready) Configuration guide Sample schemas for common industries Testing checklist Troubleshooting guide New team member can deploy without my involvement. THE PRICING ADVANTAGE: Standard client pays $2,200 setup.
5 likes • Dec '25
you’re a smart guy
6 likes • Dec '25
I have a question, I’m new to N8n and ai automation.. Trying to create a Resume Qualification For Companies locally.. Is there any idea you’d share on implementation and procesd of creation and if it’d sale? is this a real pain?
Looking for a Sales Partner !!!
Hi! I’m looking for someone who can support me with sales and client acquisition. I handle all the AI automation and voice agent deployments, so I need a partner who can help bring in qualified clients. If you're experienced in outreach or closing deals and want to collaborate, let’s connect.
0 likes • Dec '25
50%?
1-5 of 5
@mohamed-hachimi-9080
founder hirewisely.online

Active 3h ago
Joined Dec 7, 2025
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