Are you finding it hard to find the right people on LinkedIn just like I was before?🤔. Here is my deep researched tips🌟. All you need is to use.Boolean search + filters like a sniper, not a shotgun and sniff out your targets. Here’s everything you need to know👇.

RT @FabrizioRomano: 🔴🇩🇰 Rasmus Højlund makes it 5 goals and 2 assists in the last 5 games for Man United. vs Tottenham ⚽️👟.vs Newport Coun….

RT @FabrizioRomano: 🚨🇩🇰 Rasmus Højlund scores a brace… and it’s his 5th goal (plus one assist) under Rúben Amorim. Key player for Man Unite….

RT @AfcSaks1: 😂😂😂

RT @ultra_concept0: Are you finding it hard to find the right people on LinkedIn just like I was before?🤔. Here is my deep researched tips🌟….

7😇.

Results of Boolean search strategy showing already⚡️. Time to get to the main business of DM spree . Gonna milk this premium trial to the fullest 🤲

Try this if you are looking to sniff out key opinion leaders instead of random profiles . "operation manager" AND healthcare AND ceo OR founder.

Here’s a simpler version of the search to get started:. "marketing manager" AND Lagos NOT intern. High intent and easy to tweak for any title or city.Don’t overstuff with too many ORs.Capitalize operators (AND, OR, NOT). Happy prospecting🤝.

Here’s what they mean:.- 1st: You’re already connected.- 2nd: You share mutuals.- 3rd+: Cold connections — the full pool of leads. ✅ Use 2nd or 3rd+ to expand reach.✅ Use 1st if you want warm intros. You can narrow the search further by setting a location like: “United States”.

After hitting search, click on “People” to show only user profiles. Then these green filters appear 👇 (see image). Let me explain each 1st, 2nd, 3rd+ Connections

Use this Boolean search example in the LinkedIn search bar:. "operations manager" AND "New York" NOT "intern" OR "assistant" OR "virtual assistant". 🔍 What it does:.✅ Finds Operations Managers in New York.❌ Filters out irrelevant profiles like interns, assistants, or VAs.

I help business and teams automate repetitive tasks by building AI automations that save hours to stay focused on scaling your operations without scaling stress. Think of: lead qualification, auto database log, CRM updates, auto follow-ups, email to Google sheet — all hands free

RT @ultra_concept0: Collaboration and partnerships? . I’m available 🤝⚡️. Let’s connect if you work with tools like:.• n8n.• Make.• Zapier.•….

… and anything that drives results and scales operations. Tag someone who needs this👇.Let’s build systems that work while we sleep.

I’d love to connect. My stack: n8n, Zapier, and Airtable.I build:.• AI Agents.• Custom AI Workflows.• RAG Agents.• Automated Lead Nurturing Systems.• Client Qualification Bots.• Multichannel Follow-up Flows.• Missed Call Recovery Bots….

Collaboration and partnerships? . I’m available 🤝⚡️. Let’s connect if you work with tools like:.• n8n.• Make.• Zapier.• Airtable.• Softr.• Botpress.• Manychat.• ChatBotDotCom.• HubSpot. If you are building AI-Workflows, advanced CRM automations, chatbot flows, voicebot.

Get familiar 🙂.

As an AI Automation Specialist, take this seriously,. Don’t play with metadata when building RAG agents. It’s not optional, it’s essential. For more improve result, you can add a Reranker subnode.

Last week, I fixed a multilingual RAG AI agent (Arabic + English) that kept pulling inaccurate answers from the knowledge base. The problem? It wasn’t the model, it was the missing metadata. Once I added metadata tags during embedding and querying, retrieval accuracy jumped. .