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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17.7K
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0.9
63
2
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 alโฆ
Dropping the ๐ญ๐๐ ๐ฆ๐๐ฎ๐๐ฒ ๐ผ๐ณ ๐๐ง๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด today w/ Garrett Wolfe & Maja Voje! It's packed with insights on salaries/comp, tooling, & predictions for where GTME is headed from 2โฆ
Last night Chris Balestras and I hosted the ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐๐ง๐ event at Clay. ~100 operators came to learn how 4 AI startups are building agentic systems to work alongside GTMโฆ
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 iโฆ
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 iโฆ
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. Bโฆ
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 ๐ฆ๐๐ฎ๐๐ฒ ๐ผ๐ณ ๐๐ ๐ถ๐ป ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ 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:
โ 65% of teams have replaced at least one manual data cleaning workflow with AI
โ "Vibe coding" is becoming a legitimate internal tool strategy
โ 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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