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Jan 30 •
$20k/month in document automation - here are all my templates
📂 All my workflow templates are now in one place These are the exact automations I use to earn ~$20k/month from document processing clients. Finally organized everything into one repo: 👉 https://github.com/khanhduyvt0101/workflows Templates for n8n, Make, and Zapier. All free. No signup. Just grab what you need. Will keep adding more as I build them.
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Sep '25 •
Your Complete 30-Day Roadmap to Landing Your First $1,000+ Client
Welcome founding member! You're literally one of the first people here, and that's exactly where you want to be. The Promise: Follow this exact roadmap for 30 days. Land your first automation client. Or I'll personally help you until you do. WEEK 1: Build Your Authority (Even Starting from Zero) Day 1-2: The Foundation Setup Download these templates: Github Awesome Templates Day 3-4: Your Tech Stack Here's exactly what I use (most are free): - Automation: n8n, Zapier, or Make (pick ONE) - PDF Processing: Any tool you want (my suggestion: PDF Vector - go-to for reliability - free tier handles 100 pages) - Communication: Loom for demos, Calendly for bookings - Contracts: HelloSign or PandaDoc free tier Day 5-7: Your First "Proof" Create ONE simple automation that shows value: - Invoice extractor (Gmail → Spreadsheet) - Document organizer (Dropbox → Organized folders) - Research compiler (Web → Summary report) Assignment: Post your automation in comments. Get feedback from everyone. WEEK 2: Book Your First 5 Discovery Calls The 3-Message Method That Actually Works: Message 1: The Observation "Hey [Name], noticed you mentioned struggling with [specific problem]. Mind if I share something that might help?" Message 2: The Value "I built a simple automation that handles exactly this. Takes about 10 minutes to set up. Want me to show you how it works?" Message 3: The Close "I can jump on a quick call Tuesday or Thursday to walk through it. Which works better?" Where to Send These: - Your existing LinkedIn connections - Facebook groups you're already in - Local business owners you know - Previous colleagues or clients Goal: 5 calls booked by end of week 2 WEEK 3: Demo and Close Your First Deal The Problem Calculator Framework: Step 1: "How many hours per week does your team spend on [manual task]?" Step 2: "What's the average hourly rate?" Step 3: "So that's costing you $[amount] per month..."
Apr 5 •
What Would You Do First If You Were Starting From Absolute Zero?
I'm 21, dead broke, and completely lost in this AI era — and I need honest help. 🙏 Everywhere I look, people are building systems, earning online, creating leverage with AI. And here I am... overthinking every single step, overwhelmed before I even begin. No budget for tools. No budget for courses. No clear idea where to start. Every time I try to learn — AI automation, startups, entrepreneurship — I get hit with so much information that I just freeze. Mentally drained. Every. Single. Day. I'm not lazy. I genuinely want to build something real. I want systems that work FOR me. I want to solve problems and create value. But I can't even pick a starting point without second-guessing myself into paralysis. I've looked at AI automation, content creation, freelancing. I understand just enough to know I don't know enough — and that fear keeps me stuck. So I'm asking the people who've actually walked this path. If you were 21, zero budget, zero experience, and 1 hour a day — what's the FIRST thing you'd do? Not a roadmap. Not a course recommendation. Just the first real door you'd walk through. Be specific. Be honest. I can handle it. 🎯 I'm reading every single reply.
22h •
Proof Before Action: a Telegram workflow for duplicate delivery
I nearly treated this as a simple AI request: investigate why a retry might have sent a welcome email twice. The harder part was what evidence must exist before the next action. For this test, I needed to investigate why a retry might have sent a welcome email twice. I sent the request through Telegram so the agent could turn a conversational instruction into controlled work. The agent organized the information around proof before action, then produced an evidence-first checklist with idempotency, retry, concurrency, and safe verification controls. It kept an uncertain delivery unresolved and required message IDs, queue events, and idempotency state before recommending another action. My takeaway: Reconcile uncertain delivery before retrying an external action. In this community, that matters because the result should clarify what evidence must exist before the next action. Other tools in this category include Lindy, n8n, Make, and Zapier. The tool I use for this Telegram workflow is Orchestero. Which piece of evidence would you require first?
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2d •
Quiet monitoring before a first client says yes
One Telegram test changed how I think about quiet monitoring: the useful output was the operating structure, not the polished wording. For a fictional launch, I asked my personal AI to monitor signups, errors, and support volume without becoming a notification machine. It defined thresholds, the evidence to capture, and when a human should take over. The surprising design choice was silence. A useful monitor should preserve routine evidence quietly and interrupt people only when the state meaningfully changes. For a first client, this creates a concrete deliverable before any automation build begins. It also makes scope, ownership, and the next proof point visible enough to discuss with the buyer. I tested this in Orchestero, the personal-AI product I am building. What threshold would deserve a real interruption in your workflow? Would you show this artifact during discovery or after the first workshop?
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