LinkedIn Content Strategy & Writing Style
Co-Founder @ Workflows.io | Growth playbooks using AI
2 people tracking this creator on Viral Brain
Dan Rosenthal positions himself as the architect of the AI-native GTM stack, moving beyond traditional sales roles to define the emerging category of GTM Engineering. His content strategy centers on extreme technical transparency, providing exhaustive tool directories and "Company OS" blueprints that bridge the gap between high-level growth strategy and granular API-level execution. He is notable for his "service-as-a-software" philosophy, demonstrating how a lean team can aim for $30M in revenue by replacing manual labor with autonomous agent swarms and GitHub-hosted knowledge bases. Rosenthal’s work represents a sophisticated intersection of RevOps infrastructure and AI orchestration, where he treats a company’s sales process not as a series of tasks, but as a compounding code base that automates signal-led outbound at scale.
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We’re building an AI-native GTM services company. Claude Code has become a huge part of it. My last post was about how we’re building our Company OS on GitHub. And how that's powering ops through C…
We're going all-in on Claude Code. And just migrated our company brain to GitHub. Most company knowledge lives in people's heads and disappears when they leave. But Anthropic is the company best-po…
Most B2B companies still don't understand content. The winners are turning it into a team sport. OLD WAY - "We're at this conference!" - "Merry Christmas from Acme!" - Boring post announcements on t…
Sales team setups in 2026. With 15M+ B2B sales teams globally, I'm seeing a massive shift. Old school: - Simple team structure: AEs and more SDRs - Overpaying for outdated tools - Great sales fundam…
The 2026 GTM Flywheel Playbook (updated). This is how we think about mapping out funnels: 1️⃣ Traffic Generation Channels 4 main buckets: Content: - Podcasts - LinkedIn - X - Facebook - Instagram…
This is why I named my company Workflows.io. Outside the intangibles of B2B go-to-market: (taste, brand, creativity, virality) Most methodologies can be systemized. Into repeatable playbooks and t…
3.2 posts/week
Posts / Week
2.4 days
Days Between Posts
3
Total Posts Analyzed
HIGH
Posting Frequency
504.5%
Avg Engagement Rate
STABLE
Performance Trend
320
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.86/10
Uniqueness Score
NO
Question Usage
0%
Response Rate
Writing style breakdown
<start of post>
The 2026 GTM Engineering Stack.
We're currently managing $10M+ in pipeline with a team of 4 engineers.
This is only possible because we stopped using "all-in-one" platforms.
And started building a modular AI-native stack.
DATA & SIGNALS
Clay: The backbone of our orchestration.
RB2B: For identifying high-intent website visitors.
BuiltWith: To track technographic shifts in real-time.
Findymail: For verified B2B contact data.
ENGAGEMENT
Instantly.ai: Powering our automated cold email volume.
HeyReach: For multi-account LinkedIn automation.
Nooks: The parallel dialer our SDRs use for live conversations.
OPERATIONS & AI
n8n: The glue connecting our custom agents to our CRM.
Claude Code: Our primary environment for building GTM tools.
Pinecone: Storing our "winning" campaign memory.
SALES & CLOSING
HubSpot: Our source of truth (CRM).
Sybill: AI-generated summaries for every sales call.
The shift from "SDR-heavy" to "Systems-heavy" is happening now.
Old school teams are hiring 10 more reps.
New school teams are hiring 1 GTM engineer and 5 agents.
Which side are you on?
Follow Dan Rosenthal for more GTM blueprints.
<end of post>
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