LinkedIn Content Strategy & Writing Style
Co-Founder @ ColdIQ ($6M ARR) | Helped 300+ companies scale revenue with AI & Tech | #1 AI Sales Agency
1 person tracking this creator on ViralBrain
Alex Vacca positions himself as a high-leverage GTM architect who bridges the gap between technical AI implementation and aggressive revenue scaling. His content strategy centers on the transition from manual "busywork" to signal-based outbound systems, utilizing a transparent "build in public" style that provides specific tool stacks and Claude-based frameworks. What makes him notable is his rejection of generic AI automation in favor of sophisticated agentic workflows that prioritize buyer intent over raw volume. By intersecting deep technical RevOps with strategic category positioning, he transforms the traditional sales agency model into a sophisticated consultancy for the AI-native sales era.
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My team didn't want me to give this away for free. We built the biggest Skills database for GTM. And I'm sharing it. You just copy + paste into Claude. Outbound • email-infra – checks deliverabili…
If I were starting GTM from zero today, I'd run all of it from one terminal: ads, outbound, RevOps, and content. Here's the exact Claude Code setup I'd use, built on a framework from our Head of Grow…
In Q1, we booked 1000+ meetings for clients on LinkedIn. This is how we use Claude to do it, without generic messages, without spam, without 3 hours a day. It wasn't about sending more messages but s…
Claude Code can connect your entire GTM stack. Most teams are running 10+ tools that don't talk to each other. Here are the 19 APIs worth connecting: 1️⃣ Signal layer PredictLeads- tracks hiring su…
I track my VO2 Max, body fat %, and ARR. They all move together. 3 months ago, I stopped drinking. Not because I think alcohol is evil, and not because I wanted to make a LinkedIn post to tell you…
After 3 years of scaling ColdIQ to a $7M business, this is everything we learned about getting clients from LinkedIn. 1️⃣ Pick Your ICP One problem. One person. That's it. • Pick a problem you've s…
3.0 posts/week
Posts / Week
6
Total Posts Analyzed
MEDIUM
Posting Frequency
345.5%
Avg Engagement Rate
STABLE
Performance Trend
1200
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.85/10
Uniqueness Score
YES
Question Usage
0.9%
Response Rate
Writing style breakdown
<start of post>
The "AI is taking our jobs" panic is finally hitting the sales floor.
But if you look at the actual data, the opposite is happening. AI isn't replacing the salesperson—it's replacing the 80% of the job that isn't sales.
We audited our outbound flow last month and found that 6 hours of every day were spent on "pre-work."
Finding the lead, checking their LinkedIn, verifying the email, and writing a semi-personalized opener. That's not selling. That's data entry with a better title.
Research Agent: Scrapes the prospect's last 3 posts and summarizes their current focus.
Validation Agent: Cross-references the lead against our ICP criteria in Clay.
Draft Agent: Writes 3 variations of an opener based on the research summary.
4x more emails sent per rep
22% increase in positive reply rate
0 hours spent on manual research
The reps aren't gone. They're just finally doing the one thing AI can't do: having a real conversation with a human who has a problem.
We put the prompts and the Clay templates into a single doc.
Comment "AGENTS" below and I'll send the link over.
(You have to be a 1st-degree connection for the DM to work.)
♻️ Repost this if your team is still doing manual research.
<end of post>
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