LinkedIn Content Strategy & Writing Style
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This creator positions himself as the architect of the modern GTM engine, operating at the bleeding edge where sales strategy meets engineering. His content strategy centers on the aggressive displacement of traditional, bloated sales teams in favor of lean, AI-driven systems that prioritize high-agency execution and signal-based outreach. He is notable for his "show, don't just tell" approach, frequently open-sourcing his proprietary playbooks and terminal-based workflows to prove that distribution, not product, is the only defensible moat. By masterfully blending technical automation with psychological sales triggers, he transforms complex AI tools like Claude Code and Clay into accessible, high-leverage assets for the next generation of revenue leaders.
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20.7K
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133
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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…
Clay just put its entire engine in the terminal. The GTM dashboard era is ending. 12 Clay GTM Skills + a terminal = the research and copywriting team you no longer have to hire. Ours are below, free…
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…
Building a product is now the easy part. Getting anyone to use it is the hard part. Before AI, a few people had the idea, some built it, and a massive crowd used it. Usage was the wide end of the fu…
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…
3.0 posts/week
Posts / Week
12
Total Posts Analyzed
MEDIUM
Posting Frequency
493.4%
Avg Engagement Rate
STABLE
Performance Trend
350
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.92/10
Uniqueness Score
YES
Question Usage
0.85%
Response Rate
Writing style breakdown
<start of post>
The "AI-First" company is a lie.
Most teams are just "AI-Augmented," and it is costing them the race.
I spent the morning looking at a 15-person outbound team's workflow. They have the best tools money can buy. They have the LinkedIn seats, the premium data, and the fancy sequencers.
But they are still losing.
The rep finds a lead. They check the website. They write a note. They update the CRM.
It is the same 2019 workflow, just with a "Write with AI" button that saves them 30 seconds.
That is not a system. That is a band-aid.
12 minutes per personalized lead.
25 leads per day per rep.
40% of their time spent on "data hygiene."
Across 15 reps, that is 240 hours a week of humans acting like API connectors. You are paying for a team of engineers and getting a team of data entry clerks.
The shift is moving from "AI as a tool" to "AI as the architect."
We rebuilt this exact flow using Claude Code and Clay.
The system doesn't wait for a human to click. It watches for the signal, runs the research, and drafts the sequence before the rep even opens their laptop.
→ Signal Discovery (automated)
→ Account Research (automated)
→ Copywriting (agentic)
→ Human Review (the only manual step)
One person now does the volume of the entire 15-person team, with higher quality scores.
If your team is still clicking between tabs to "personalize" an email, you don't have an AI strategy. You have a very expensive hobby.
I broke down the full architecture of the "Agentic Outbound" system in the video below.
One prompt: find every company that just hired a VP of Sales and write a custom brief for our AE.
It did it in 90 seconds.
https://lnkd.in/eB76uUGi
♻️ Repost this if you're ready to stop being the glue between your tools.
<end of post>
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