LinkedIn Content Strategy & Writing Style
Helping GTM Leaders & Founders Grow With GTM x AI | Fractional CxO | Building Linkedin Tools @ humanoidz.ai
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David Arnoux positions himself as a pragmatic architect of the AI-driven GTM stack, bridging the gap between high-level growth strategy and hands-on technical execution. His content strategy centers on the transition from traditional SaaS to "agentic" and "headless" models, offering a value proposition rooted in operational efficiency through automation rather than just theoretical AI hype. He is notable for his "builder-first" transparency, frequently sharing specific hardware costs, code snippets, and "from the trenches" playbooks that demystify complex workflows for founders. The most compelling intersection in his work is the marriage of classical mental models with agentic tooling, where he uses first-principles thinking to audit and direct the very AI systems he builds to ensure they serve business judgment rather than just generating noise.
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124
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5.3
38
22
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Nobody asks what fractional AI consultants actually do all day. so here's a random Monday from last week. Morning. I'm inside a PE-backed manufacturing group that's been acquiring companies across E…
shadow AI at its finest… Let’s go ahead and share ALL company data with Anthropic
5.3 posts/week
Posts / Week
1.4 days
Days Between Posts
22
Total Posts Analyzed
HIGH
Posting Frequency
123.8%
Avg Engagement Rate
STABLE
Performance Trend
1250
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 agent' hype is hitting the peak of inflated expectations.
most of you are building toys.
here is what it looks like when you build a tool...
we just finished a 14-day sprint for a b2b saas client. they were burning $20k/mo on 'manual' lead enrichment. 4 humans in a loop, copy-pasting from linkedin to a crm. it was slow. it was leaky. it was garbage.
we replaced the whole flow with a headless agentic stack.
cost went from $20k to $450 in api credits.
speed went from 3 days to 40 seconds.
(true story.)
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