Adam Robinson's LinkedIn Strategy — CEO @…

Last week I was at an 8-person founder breakfast in Aspen. Guy goes around the table and asks everyone how they're using AI day-to-day. I was super embarrassed to answer the question, but I did. Me:…

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AI Productivityabout 2 months ago

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I want to be crystal clear: the advice I give on LinkedIn is NOT for founders who think they're creating unicorns, decacorns, or the next Anthropic. If you believe you're building a unicorn or decaco…

LinkedIn post image: I want to be crystal clear: the advice I give on LinkedIn is NOT for founders who think they're creating unicorns, decac

5619177 viral

Bootstrapping & Venture Capital3 months ago

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This is the only cold email I answered in the last 12 months. Here's why it worked on me: 1. Subj line is prob weakest point, but I opened it because I know the guy (so do many others, he is good at…

LinkedIn post image: This is the only cold email I answered in the last 12 months.

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Cold Email Marketing3 months ago

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Dharmesh (Founder + CTO of Hubspot) is right — nobody's going to vibe code Hubspot. Want to know why SaaS stocks are getting smoked? I’ll tell you why. It’s not that Lovable (or any other company) w…

LinkedIn post image: Dharmesh (Founder + CTO of Hubspot) is right — nobody's going to vibe code Hubspot. Want to know why SaaS stocks are get

30913566 viral

AI & SaaS Marketabout 2 months ago

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I don’t want to do this anymore. Last week Patrick Spychalski told me that he watched his buddy give Claude Code the domain for TypeForm(.)com and 4 hours later Claude Code had built Typeform. Li…

26313476 viral

AI Agents & SaaS Strategyabout 2 months ago

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BREAKING NEWS: In 2026, Adam Robinson will become the largest “Claude Code” influencer on LinkedIn. Step 1: figure out what “claude code” is Step 2: post about how great at claude code I am Step 3: p…

2537634 viral

LinkedIn Growthabout 2 months ago

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Topics & Content Focus

Primary Topics

Contrarian AI leadership psychology (confidence inflation, decision-risk, 'AI as thought partner' skepticism)B2B SaaS market dynamics under AI (commoditization, lowered build barrier, competitive threat to incumbents/public SaaS)Bootstrapped SaaS operator playbooks (simplicity, focus, ARR targets, avoiding complexity traps)Modern B2B GTM systems design (ABM infrastructure, signal stacking, data plumbing into CRM/Slack workflows)

Secondary Themes

Founder-led marketing as the primary TOFU engine (LinkedIn as the funnel)Automation boundaries: where AI works (support) vs. where it degrades outcomes (strategy/writing)Credibility defense via transparency (dashboards, proof, 'call my bluff' positioning)Outbound channel decay and spam saturation predictions

Industry Focus

Bootstrapped B2B SaaSRevenue/Marketing Ops (ABM, signals, CRM workflows)Sales/Marketing technology and data tooling ecosystem (Intercom, Clay, HubSpot/Salesforce-adjacent)

Content Categories

Market thesis / macro narrativeOperator diaries (how the company actually runs)GTM teardown / tactical frameworksOpinionated myth-busting (anti-hype)Event/podcast/live promo packaged as value-first breakdown

Performance Insights

314.4%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

AI-driven market disruption narratives (why incumbents/stock prices are vulnerable)AI skepticism framed as leadership risk (overconfidence, bad advice)Actionable GTM infrastructure (ABM + signals + workflows) when positioned as 'now accessible'

Virality Signals

Polarizing stance that forces identity alignment (pro-AI hype vs skeptical operators)High-status references (HubSpot founder, public SaaS, well-known tools) that broaden reachArgumentative structure (FACT/FACT/THEORY) optimized for commentsStrong, quotable lines and extreme multipliers ('10,000x more people trying')Credibility stacking (specific internal numbers, documentation/process claims, dashboards/data references)

Structure & Quality

380

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.87/10

Uniqueness Score

Common Hooks

Contrarian/combative opener that challenges a popular beliefNamed-entity anchoring (calling out well-known founders/brands to frame the debate)Hard 'FACT:' framing followed by a THEORY to invite argumentMeta-clarification hook (addressing backlash/misinterpretation from a prior post)Superlative positioning ('best breakdown', 'world class') to justify long-form

Common Endings

Direct question to a defined audience segment (e.g., CEOs/haters/marketers)Punchy thesis statement that restates the core claimP.S. add-on to humanize or add a small twistInvitation to a live session/event after delivering a framework

Value Delivery Methods

Frameworks readers can implement (ABM stages, signal taxonomy, scoring model)Operator-level constraints and tradeoffs (simplicity vs complexity, channel decay, AI boundaries)Market sensemaking that translates AI hype into competitive mechanicsTransparency signals that reduce 'guru' skepticism (specific roles, tools, revenue/run-rate context)

Formatting Style

Short, high-contrast paragraphs with heavy whitespaceBullets and staged frameworks (numbered steps, 'Stage 1–4')Caps emphasis for emotional spikes (ZERO, COMPLETELY, FACT)Profanity/edgy phrasing (sometimes censored) to signal authenticityDialogue/inner-monologue format to dramatize tradeoffs

Audience & Tone

YES

Question Usage

78.9%

Response Rate

Detected Tone

Smart-casual operatorContrarian realistData-backed storytellerUnpolished but precise GTM nerdFounder-as-narrator (builds in public with edge)informalfirst-person

Interaction Style

Debate-driven comment bait (invites disagreement, challenges skeptics)Peer-group calling (speaks to 'CEO friends', RevOps/marketing operators)Education-first reciprocity (gives a full breakdown before any promo)Credibility defense loop (addresses backlash directly to keep the narrative controlled)

Community Building Signals

Creates recurring arcs (post-to-post clarifications and continuations)Uses public accountability as a community norm (data/dashboards as shared reference points)Hosts/partners via live events to convert audience into participants

Writing Style Patterns

Content Strategy

Hook: Contrarian/combative opener that challenges a popular beliefTone: informalCTA: Debate CTA (ask readers to refute or weigh in)

Writing style breakdown

LinkedIn gurus are lying to you about "consistency."

I’ve spent the last 3 years posting every single day, and I’m here to tell you that most of it was a total waste of time.

FACT: Posting 7 days a week doesn't build a business. It builds a treadmill.

I realized this last month when I stopped posting for 10 days to go off-grid.

( ... and yes, my team was terrified that our inbound would drop to zero. It didn't. In fact, our lead quality actually went UP.)

Which brings us to Point of Clarity #1 - The "Algorithm" doesn't buy your software. People do.

If you are just posting to feed the beast, you are gassing yourself up with vanity metrics that don't hit the bank account.

SO...

Adam Robinson

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy