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A thin LinkedIn profile can hide a strong technical candidate. Their real work may be in a university paper, a conference talk, or an open-source contribution.
A recruiting shortlist should show that evidence, not just a name and job title.
In a separate contact-research project, my n8n system delivered 50 ready records and rejected 143 weak or duplicate matches. That result came from checking source details before a record was marked ready.
I’d apply the same discipline to specialist sourcing: collect public work signals, verify identity and relevance, keep source links attached, and route uncertain matches for human review. The recruiter still makes the decision.
If your team is searching for hard-to-find engineers, tell me the role and what a credible match would look like.
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3 mistakes I see every GoHighLevel user making that creates 100s of duplicate leads:
No deduplication logic between Facebook Lead Ads → GHL
No AI check for same phone/email with different name
No Google Sheets backup before pushing to GHL
I fixed this last week for a client with a simple n8n + AI workflow:
→ Facebook Lead → AI checks duplicate → If clean → GHL + Sheets → Telegram alert
Result: 0 duplicates in 7 days, 6 hours/week saved.
Want the n8n template? Comment "TEMPLATE" and I'll DM you.
#gohighlevel #n8n #leadmanagement #automation
Clean flow. The part I'd watch is the "maybe" pile: couples often share one email or one phone, so a strict duplicate check can silently drop a real second lead. I'd send those to a review tab in the Sheet instead of skipping them. What does yours do with a likely-but-not-certain match?
AI Email Automation with n8n and Google Gemini
An AI workflow that reads every incoming email, sorts it into 6 categories, and takes the right action automatically.
The problem: businesses lose time and leads because customer emails are mixed with promotions, job alerts, and security emails.
What I built:
Gmail Trigger that picks up each new email
AI Text Classifier (Google Gemini) with 6 categories: Security Alert, Promotions, Jobs, Personal, Payments, and Client Inquiries
Automatic Gmail labels for every category
Google Sheets log for jobs, leads, and payments
AI information extraction for client emails (name, phone, service, budget)
AI-written reply drafts for client emails, saved as drafts so a person approves every reply
Instant Discord alerts for security, payment, and client emails
Tools: n8n, Google Gemini, Gmail, Google Sheets, Discord
This project is a working demo built on my own inbox. The same system can be adapted to any business email, such as travel agencies, event venues, stores, recruiters, and consultants.
Impressive workflow! I especially like the human approval step for AI-written replies. Automation with the right oversight makes a real difference. 🙌
Managing customer orders, inventory updates, and approval emails manually takes hours of tedious, repetitive work. Every time a customer places an order, you have to manually check stock availability, log sales into spreadsheets line by line, draft custom HTML approval emails, track down confirmation status, and update inventory counts.
What happens when two orders for the last unit come in a few seconds apart? With a sheet as the stock source, both runs can read "1 left" before either one writes. Running the workflow one order at a time, or checking stock again right before the approval email goes out, closes that gap.