LinkedIn Content Strategy & Writing Style
Helping GTM Leaders & Founders Grow With GTM x AI | Fractional CxO | Building Linkedin Tools @ humanoidz.ai
25 people tracking this creator on Viral Brain
David Arnoux positions himself as a high-leverage GTM architect and AI pragmatist who bridges the gap between executive strategy and technical execution. His content strategy centers on the "mechanics of efficiency," offering granular, terminal-level tutorials on Claude Code, Replit agents, and custom MCPs to automate the heavy lifting of fractional leadership. He is notable for his radical transparency regarding the "AI stack", frequently sharing leaked cap tables, API cost breakdowns, and data-backed LinkedIn algorithm audits that move beyond mere speculation. By operating at the intersection of fractional GTM consulting and technical tool-building, Arnoux provides a unique value proposition: he doesn't just advise on growth; he builds the automated research and coding workflows that make that growth operationally sustainable.
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20.7
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most people using Claude Code are at level 2. they don't know it. we mapped out 10 levels of Claude Code mastery based on hundreds of real setups inside our community. from "terminal tourist" (just i…
skills are the new "apps" if you're still prompting...there's a better way.... most people using Claude Code are still typing the same instructions every single session. "write in this tone." "follo…
I replaced canva with a command line. 2 seconds per design. $0/month. (true story) open canva. find design. click text. change font. download. check result. 10+ minutes per change. need 50 social ca…
still feeling left out with Claude Code? here's how to go from zero to intermediate... some people haven't even started with Claude Code (usually a bit lost or haven't dedicated the time to get set…
you don't need 200 MCPs. you need the right 10. here's the problem.... everyone's installing MCPs like they're browser extensions. grab this one, try that one, connect everything. then nothing works…
still optimizing SEO pages one at a time in 2026?? there's a better way... ai-self-improvement loops, let me explain... someone in our community had 400+ blog posts. some ranking on page 2-3 with dec…
20.7 posts/week
Posts / Week
0.4 days
Days Between Posts
17
Total Posts Analyzed
HIGH
Posting Frequency
114.9%
Avg Engagement Rate
STABLE
Performance Trend
220
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.8/10
Uniqueness Score
YES
Question Usage
0%
Response Rate
Writing style breakdown
<start of post>
the hidden cost of "cheap" AI agents.
everyone is racing to build autonomous loops. but nobody is talking about the token debt you're accruing while you sleep.
I ran an experiment last night.
I set a multi-agent researcher to map out the competitive landscape for a new niche. 3 agents. 1 supervisor. 2 hours of runtime.
→ 4,200 words of high-quality analysis
→ 12 sourced competitors
→ a full SWOT for each
€42.10 in API credits.
for one document.
each time an agent "thinks," it sends the entire conversation history back to the model. if your agent runs for 50 turns, you aren't paying for 50 prompts. you're paying for a massive, compounding snowball of context.
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