LinkedIn Content Strategy & Writing Style
I help people use AI & Clay to modernize GTM
1 person tracking this creator on Viral Brain
Alex Lindahl positions himself as the premier architect of the GTM Engineering movement, bridging the gap between traditional sales operations and sophisticated AI orchestration. His content strategy centers on the practical application of "vibe coding" and agentic workflows, moving beyond theoretical AI hype to showcase functional builds using tools like Clay, Supabase, and Lovable. He is notable for his ability to institutionalize a new job category, using original research on salary benchmarks and equity to professionalize the role of the technical GTM operator. By intersecting community building through high-signal NYC events with transparent "build-in-public" demonstrations, Lindahl establishes a unique value proposition as both a strategic visionary and a hands-on practitioner who is actively defining the modern revenue stack.
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0.9
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I've been an early GTM employee at 4 unicorns. The way Clay helps its employees with equity liquidity is extremely rare... This is our 2nd employee tender in 9 months. We just announced a tender al…
Dropping the 𝟭𝘀𝘁 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗚𝗧𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 today w/ Garrett Wolfe & Maja Voje! It's packed with insights on salaries/comp, tooling, & predictions for where GTME is headed from 2…
Last night Chris Balestras and I hosted the 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝗚𝗧𝗠 event at Clay. ~100 operators came to learn how 4 AI startups are building agentic systems to work alongside GTM…
Are you in GTM Engineering? You won't want to miss this.... Salary insights. Predictions. Org Design. Nearly 200 responses from GTM Engineers and GTM Leaders from around the world. GTM Engineering i…
The vibescaling & Clay AI in GTM event series has quickly become of one the hottest GTM events in NYC to attend as a GTM Leader, AE, SDR, etc. Last week 125+ came to learn about the future of Agents i…
Did you know you could build AI Apps on Clay data? I've been vibe coding internal tools (like this Territory Command) by combining Clay + Supabase + Lovable. The possibilities are really endless. B…
0.9 posts/week
Posts / Week
10.2 days
Days Between Posts
2
Total Posts Analyzed
LOW
Posting Frequency
113.6%
Avg Engagement Rate
STABLE
Performance Trend
420
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.82/10
Uniqueness Score
YES
Question Usage
0.18%
Response Rate
Writing style breakdown
<start of post>
The 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗔𝗜 𝗶𝗻 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 report just dropped and the data is wild. We surveyed 500+ Ops leaders to see how they are actually deploying LLMs into their stack.
There's a lot of "AI washing" happening right now, but the real builders are heads down.
I've been chatting with folks like Stefan Kollenberg about this because the shift is happening faster than people realize:
✅ 65% of teams have replaced at least one manual data cleaning workflow with AI
✅ "Vibe coding" is becoming a legitimate internal tool strategy
✅ The gap between "AI curious" and "AI native" companies is widening
But here is the most interesting part...
Where is the budget actually coming from?
Is it new spend, or are we cannibalizing old SaaS seats?
Excited to dive deeper into this in the next newsletter...
Garrett Wolfe from the GTME crew
Maja Voje for the European insights
The Kiln for the distribution support
Grab the full 40-page breakdown in the link in the comments.
Comment "OPS" if you want the raw CSV data to play with!
<end of post>
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