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21 contributions to Wifi Life
How I built an "AI-Research Assistant" that saves 10+ hours a week (and tracks every competitor)
Let’s be real—manually tracking YouTube competitors is a massive time-sink. I see so many creators and agency owners spending hours every week jumping between tabs, checking view counts, and trying to "guess" what content is actually trending. That’s a waste of high-level talent. I decided to solve this with a 2-part n8n automation engine. Now, the data comes to me. Here’s the breakdown of the system: 1️⃣ The Data Harvester: It monitors a list of target channels in Google Sheets. Every time a new video drops, it automatically pulls the views, likes, comments, and tags. No more manual data entry. 2️⃣ The Outlier Detector: This is where the ROI happens. The system calculates the average performance of a channel and only alerts me when a video is an "outlier" (performing way above average). 3️⃣ The Intel Report: It generates a professional HTML newsletter and drops it in my inbox. I can see the "viral signals" while I’m drinking my morning coffee. ☕ The ROI? Time: 10+ hours/week saved (that's 40+ hours a month to focus on high-ticket sales). Money: Replaces the need for a $1,500/month research assistant. Strategy: You stop guessing and start creating content that is backed by real-time competitor data. I’m curious—how many of you are still tracking your market research manually? If you want to see a walkthrough of how the nodes are set up or want this built for your business, drop a "TRENDS" in the comments below! 👇
How I built an "AI-Research Assistant" that saves 10+ hours a week (and tracks every competitor)
Amazon Product Automation That Saves Hours
🔥 Save 5+ Hours/Day with This 10-Minute Amazon Automation! Every seller wastes hours doing the same tasks: ➡️ Searching ASINs ➡️ Copying titles, images, URLs ➡️ Updating sheets manually I built an Amazon Product Extractor that turns ASINs into: ✅ Product Name ✅ Image ✅ URL ✅ Status —all automatically in Google Sheets. ⏳ Time Saved: 3–4 min → 2 sec per product 💰 Money Saved: $300–$500/month VA cost → $0 Perfect for dropshipping, product research, wholesale sourcing, and listing teams. 💬 Comment “AUTOMATE” or DM me to get this setup!
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 Amazon Product Automation That Saves Hours
Vapi + n8n: Creating an Automated AI Voice Agent
Most Detailing Shops Don’t Have a Quality Problem — They Have a Phone Problem I recently tested a Vapi-powered AI voice agent with a detailing shop, and it revealed something interesting: The biggest bottleneck wasn’t the detailing work itself — it was missed or delayed phone calls. When the team is working on cars, they simply can’t answer every call. That leads to missed leads, slower follow-ups, and inconsistent booking flow. To understand the impact, we let an AI agent handle: Basic lead qualification Appointment scheduling Follow-up calls Simple customer queries What Actually Improved The team saved around 15 hours per week Follow-ups became consistent Missed-call bookings increased noticeably The shop stayed focused on actual detailing work Why share this? A lot of service businesses underestimate how much revenue disappears due to unmanaged calls. This experiment showed how a lightweight AI voice layer can stabilize communication without adding extra workload or staff.
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Vapi + n8n: Creating an Automated AI Voice Agent
Save $5,000/Month with AI That Tracks Viral Tweets for You
Hey everyone 👋 I just built a game-changing AI system that acts like your personal Twitter analyst — automatically tracking the most viral content for you. Instead of spending hours scrolling to see what’s trending or what competitors are doing… this system: 1️⃣ Tracks top tweets based on your keywords (like “AI,” “startups,” “Elon Musk”) 2️⃣ Filters for posts with 500+ likes to focus on the most impactful content 3️⃣ Analyzes engagement patterns to understand why tweets go viral 4️⃣ Uses AI (Google Gemini) to summarize trends and key takeaways 5️⃣ Sends a daily, ready-to-use HTML report straight to your inbox Built with n8n + Google Gemini + Gmail + Google Sheets, it saves 20+ hours per week and turns social noise into actionable strategy. Why I made it: to help founders, creators, and marketers make smart content decisions — without expensive tools or endless scrolling. 💬 If you had this system watching Twitter 24/7, what niche or topic would you track first? Reply below — I might customize one for you 😉
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Save $5,000/Month with AI That Tracks Viral Tweets for You
Save Hours & Cut Costs with Fully Automated AI Newsletter Creation
I built an AI Newsletter Automation with n8n that: 🔥 Automatically pulls the latest AI & tech news from top sources 🤖 Uses advanced AI (Google Gemini + LangChain) to summarize content professionally ✉️ Creates and sends polished newsletters—fully hands-free This workflow is perfect for startups, agencies, and businesses looking to: ✔️ Free up valuable time from manual content work ✔️ Slash costly content creation expenses ✔️ Consistently engage their audience with fresh, relevant news Interested in a custom or white-labeled workflow ready to scale your content or client offerings? Comment below or DM me to explore how this can save your business time and grow revenue. Let’s automate smarter and work less!
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Save Hours & Cut Costs with Fully Automated AI Newsletter Creation
1-10 of 21
Ghulam Mustafa
2
10points to level up
@ghulam-mustafa-3290
AI automation developer

Active 21h ago
Joined Mar 21, 2025
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