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Tom Crawshaw

Tom Crawshaw

LinkedIn Content Strategy & Writing Style

I Turn Non-Technical CEOs & Agency Owners Into AI Operators in 90 Days | n8n Mentorship | Generated $25M+ for Clients

United Kingdom
1,482 Viral ScoreView on LinkedIn

2 people tracking this creator on ViralBrain

Warm Analysis

Tom Crawshaw positions himself as the high-stakes architect of the AI-powered workforce, bridging the gap between technical complexity and executive-level utility. His content strategy centers on "shipping over browsing," where he deconstructs cutting-edge tools like n8n, OpenClaw, and Twin into revenue-generating operational systems rather than mere productivity hacks. He distinguishes himself through a "security-first" technical rigor—often warning against exposed API keys and default setups—while maintaining a sharp focus on the business case for automation. By intersecting deep technical mentorship with career-advancement narratives, Crawshaw transforms the intimidating world of autonomous agents into a tangible roadmap for non-technical leaders to become indispensable AI operators.

Performance Overview

Followers

16.9K

Connections

10.2K

Avg. Engagement

948

Engagement Rate

Posts/Week

2.3

Viral Score

1,482

Posts Analyzed

1

Top Posts by Engagement

Anthropic just shipped Agent Teams into Claude Code and I put together a complete guide on how to install and use them. The OpenClaw community was already doing this with custom skills and workaround…

LinkedIn post image: Anthropic just shipped Agent Teams into Claude Code and I put together a complete guide on how to install and use them.
1.1K5.3K30100 viral
AI Developer Tools7 months ago
View on LinkedIn

I closed my laptop last night with three agents running. One attended a webinar and sent me the notes. One called a lead, confirmed a Friday appointment, and updated my Airtable. One scraped 61 Sko…

LinkedIn post image: I closed my laptop last night with three agents running.
1307613100 viral
AI Automation6 months ago
View on LinkedIn

I just set up OpenClaw on a VPS with hardened security. Most people skip this part and leave their API keys completely exposed. 900+ installations have already been found wide open. With ports exp…

LinkedIn post image: I just set up OpenClaw on a VPS with hardened security.
1005493100 viral
AI Security7 months ago
View on LinkedIn

His company found out he was using AI to do 70% of his job. Instead of getting fired, he's now making $200K and running the department. Here's what he did differently than everyone else... Most emp…

LinkedIn post image: His company found out he was using AI to do 70% of his job.
101387298 viral
AI Automation7 months ago
View on LinkedIn

Everyone's losing their minds over OpenClaw. You're sitting there thinking: great, another tool I'm behind on. You haven't even opened n8n yet. Or maybe you opened it, dragged a few nodes around, a…

LinkedIn post image: Everyone's losing their minds over OpenClaw.
65377294 viral
AI Automation7 months ago
View on LinkedIn

The right way to set up OpenClaw is different from every tutorial I found. The difference is why someone's agent cleaned their server, replied to their emails, and booked dinner. Nobody asked it t…

LinkedIn post image: The right way to set up OpenClaw is different from every tutorial I found.
51231259 viral
AI Agent Safety6 months ago
View on LinkedIn

Posting Patterns & Frequency

2.3 posts/week

Posts / Week

3.4 days

Days Between Posts

1

Total Posts Analyzed

MEDIUM

Posting Frequency

Timezone: Europe/London

Best Performing Days

ThursdayTuesday

Best Performing Times To Post

14:00-14:30

Topics & Content Focus

Primary Topics

Autonomous AI agents for real-world business execution (calling leads, scraping communities, email handling, workflow delegation)Practical automation enablement for non-technical operators (roadmaps, minimal stacks, “ship vs browse” mindset)B2B pipeline automation and RevOps workflows (buying signals, enrichment, scoring, CRM push, fast personalized outreach)AI governance, permissions, and operational risk management (security configs, spend caps, tool capability boundaries)Career leverage through AI outcomes (positioning automations as business impact to earn trust, promotion, comp)

Secondary Themes

Tool comparisons and category clarification (agent frameworks vs coding tools)Cloud vs local deployment tradeoffs and setup frictionTemplate/workflow distribution via DMsFounder/investor social proof and adoption metrics as credibility devicesOutcome-first measurement and internal stakeholder selling

Industry Focus

B2B SaaS GTM (sales/revops) automationAI automation tooling for knowledge-worker teamsProspecting intelligence and outbound systems (signals → enrichment → outreach)

Content Categories

Contrarian setup/PSA tutorials (what tutorials miss, what can go wrong)Step-by-step build guides (workflows, agent builds, tool stacks)Tool discovery + review framed as execution enablementCareer/identity case studies (operator narrative, promotion/raise stories)Partner-integrated workflow posts (vendor-led API + giveaway)

Performance Insights

948%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Tool-enabled autonomy with vivid outcomes (agents executing real tasks end-to-end)Roadmap content that reduces overwhelm (what to ignore, what to build first)Career leverage narratives tied to business impact (revenue/cost/output framing)

Virality Signals

Comment-to-DM gating that converts passive readers into visible commentersCuriosity gaps ("what tutorials miss", "what you don’t see", "here’s what nobody tells you")Concrete, cinematic proof of work (agents running while laptop closed)Risk-based intrigue (full permissions, unintended actions) that triggers protective sharing/commentingAuthority by association (funding names, adoption metrics) without sounding academic

Structure & Quality

230

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.78/10

Uniqueness Score

Common Hooks

Contrarian correction hook ("the right way is different", "you don’t need this yet")Outcome-first proof hook (multiple agents running; concrete tasks completed while offline)High-stakes warning hook (permissions, security, unexpected agent behavior)Identity/status story hook (employee caught using AI → promoted/paid more)Single-mechanism promise hook ("one workflow that turns X into booked meetings")

Common Endings

Two-step funnel: connect + comment keyword for DMFree asset offer (guide/training/workflow walkthrough)Occasional “link in first comment” when partner-driven

Value Delivery Methods

Actionable implementation steps (workflows, stacks, build sequences)Non-obvious operational warnings (permissions, security, spend control)Decision simplification (what to learn now vs later)Business-impact framing (revenue/cost/output, internal buy-in positioning)

Formatting Style

Short paragraphs with heavy line breaks for scroll-stopping cadenceBullets and numbered steps (Step 1–5, 1️⃣/2️⃣ CTAs)Strategic capitalization for emphasis (e.g., ANOTHER)Specific numbers as anchors (counts, euros raised, tasks completed, apps covered)

Audience & Tone

YES

Question Usage

0.6%

Response Rate

Detected Tone

Smart-casual, execution-first expertContrarian guide who debunks hype and reduces overwhelmOperator-mindset coach (outcomes, systems, leverage)Risk-aware pragmatist (security/spend/permissions realism)semi-formalmixed

Interaction Style

Keyword-based commenting to request resourcesDM-driven relationship building (moves engagement off-feed)Low-friction participation (comment one word) that boosts visibilityAudience coaching via direct second-person challenges ("what have you actually built?")

Community Building Signals

Repeatable CTA ritual (connect + comment keyword) that trains audience behaviorFree guides/trainings as list-building and segmentation mechanismsShared identity construction around being an 'operator' who ships systems

Writing Style Patterns

Content Strategy

Hook: Contrarian correction hook ("the right way is different", "yTone: semi-formalCTA: Comment-gated DM delivery (keyword-based)

Writing style breakdown

<start of post>

I just built an AI agent that monitors my competitors' pricing and updates my own Shopify store in real-time.

Most people are still manually checking websites and typing into spreadsheets.

That's a waste of time.

The difference between a "side project" and a "business" is automation.

Here is exactly how the stack works

Step 1: Use Browse AI to monitor specific product pages for any price changes.

Step 2: Send that data to an n8n webhook the second a change is detected.

Step 3: Use Claude 3.5 Sonnet to calculate the optimal price based on my margins.

Step 4: Update the Shopify API with the new price automatically.

The whole thing took 15 minutes to set up.

What you don't see is the logic required to make sure you don't accidentally trigger a "race to the bottom" price war.

I added a "safety floor" node that prevents the price from ever dropping below my break-even point.

I recorded a 12-minute breakdown of the entire workflow

The exact n8n template I used

How to set up the "safety floor" logic

The prompt that makes Claude act like a pricing strategist

1️⃣ Connect with me

2️⃣ Comment "PRICING" below and I'll DM you the video.

<end of post>

1. OVERALL WRITING STYLE & VOICE
1. THE DISRUPTION (Hook): A startling fact, a personal achievement, or a common mistake.
1. The 'Feature' list: Uses plain dashes (: ) or right: pointing arrows (→).

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