Want to EASILY export ALL calls from Gong with speakers + times... this ONE prompt will do that. It's a boner Gong doesn't want you to export data, it's like the think they own your calls. But this…

7598215 viral

Sales Enablement3 months ago

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I am turning all of my knowledge in Claude Skills right now... drop a comment and I'll DM you the private Zoom link...

6594014 viral

AI3 months ago

View on LinkedIn

We’re entering a new era of GTM from ChatGPT > Clay > Claude Code. Here’s how I see the change…

722616 viral

Marketing3 months ago

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In just ONE HOUR I did this, with only my voice… this what GTM Engineering looks like in the future… 100% in Claude Code and with Apify! What We Did: Review Enrichment & Classification Pipeline W…

671804 viral

Sales Automation3 months ago

View on LinkedIn

"Jordan is going full AGI in 2026... and starting with turning my life into Claude Skills to make GTMe choices" - Your Favorite LinkedIn Influencer I had Sybill export all of my words and I will mak…

591604 viral

AI3 months ago

View on LinkedIn

My next course (it’s a tool) is live… and it creates Claygents for you with Claude Code… So far as I know this is the only course/tool that prompts YOU… Here’s how it works. 1. You buy Clay plus $1…

54803 viral

AI3 months ago

View on LinkedIn

Posting Patterns & Frequency

5.5 posts/week

Posts / Week

1.4 days

Days Between Posts

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: UTC

Best Performing Days

Early-week weekdays (around Monday)Late-week evenings (around Friday night UTC)

Best Performing Times To Post

Late UTC afternoon (around 17:00 UTC)Late UTC night (around 23:00–00:00 UTC)

Topics & Content Focus

Primary Topics

AI-native GTM execution and agents (turning personal expertise into Claude Skills that act on GTM workflows)GTM engineering and playbook design for B2B revenue teams (AutoGTM, custom GTM plans, enrichment workflows)Data liberation and integration across sales tools (Gong → Claude Code → Clay → local storage pipelines)The shift from static workflows to context + tools + judgment in modern go-to-market systems

Secondary Themes

Building in public by productizing one’s own brain and processesComment-gated resources as a distribution and engagement strategySkepticism toward closed SaaS ecosystems that ‘own’ user dataLive, collaborative learning (private Zoom builds, sharing prompts and scripts)

Industry Focus

B2B SaaS go-to-market (sales, marketing, RevOps)Revenue operations and GTM systems designAI tooling for sales and marketing teams

Content Categories

Hands-on technical tutorials and prompts (code + Clay + AI workflows)Productized services and offers (GTM engineering plans, AutoGTM/AutoClaygent)Opinionated frameworks about the future of GTM (workflow vs context/tools/judgment)Audience participation content (Zoom sessions, comment-to-DM resources, follow-the-experiment posts)

Performance Insights

85.1%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Free, tactical AI + code resources that solve a very specific GTM pain (e.g., exporting Gong calls via Claude Code + Clay)Live co-building sessions turning the creator’s knowledge into Claude Skills (comment-for-Zoom-link format)Comment-gated resources that exchange high-value templates for engagement

Virality Signals

Exceptionally high comment counts when comment-gated resources are usedDeliberate use of long, humorous comment phrases that turn engagement into a memeStrong like-to-comment ratio indicating active participation rather than passive consumptionTopical jabs at widely used tools (Gong, Clay) that rally users around a shared frustrationNovel ‘I am productizing my brain into an AI agent’ narrative that stands out in feed

Structure & Quality

130

Avg Length (Words)

MEDIUM

Depth Level

ADVANCED

Expertise Level

9/10

Uniqueness Score

Common Hooks

Quoting or referencing ‘LinkedIn influencer’ culture in a tongue-in-cheek wayBold, future-facing claims about AI and GTM (e.g., ‘era of workflow is giving way to…’)Calling out a shared pain or frustration with popular tools (e.g., Gong hiding data)Announcing a wild or extreme experiment (e.g., turning entire life into Claude Skills / going full AGI)Blunt, irresistible value hooks (‘this ONE prompt will do that’)

Common Endings

Comment-gated CTA (‘drop a comment and I’ll DM you…’ with a specific phrase or script)Follow-the-journey close (‘Follow to figure out how badly I fail’)Scarcity / urgency updates (‘UPDATE: ALL COUPONS HAVE NOW EXPIRED’)Direct purchase link mention for products (AutoClaygent, playbooks, etc.)

Value Delivery Methods

Highly actionable prompts and instructions that can be copied directly into tools (Claude Code, Clay, etc.)Specific, niche workflows that most GTM leaders haven’t fully productized (e.g., call exports with structured context)Conceptual reframing of GTM systems (workflow → context + tools + judgment) anchored in real productsSharing of personal infrastructure (Claude Skills built from own words) rather than generic advice

Formatting Style

Short paragraphs with frequent line breaks and ellipses for rhythm (‘...’)Numbered step lists for how-to content (1–4 style breakdowns)All-caps words for emphasis and humor (‘DON'T ABUSE IT INTERNET!’, ‘EASILY’)Conversational, unpolished text that reads like spoken languageMinimal to no emojis; emphasis driven by caps and tone instead

Audience & Tone

YES

Question Usage

0.5%

Response Rate

Detected Tone

Smart-casual GTM engineer who is deeply technical but intentionally irreverentAI-native builder positioning themselves as a living testbed for agentic workflowsProvocative and slightly combative toward incumbents (Gong, tool limitations) while still playfulRelatable expert who uses slang and self-deprecation instead of corporate polishinformalfirst-person

Interaction Style

Gamified engagement using specific comment scripts to unlock resourcesDirect, conversational reply-bait that treats comments as a trade (‘I get more views you get your export’)Inside-joke building through repeated phrases and playful insults (‘Don’t be a weenie’)Inviting the audience into live builds and experiments (private Zooms, follow-my-failure narrative)

Community Building Signals

Creating shared rituals around commenting specific phrases for access to assetsUsing self-deprecating, build-in-public language so followers feel part of an ongoing experimentPositioning products (AutoGTM, AutoClaygent, playbooks) as tools the community can co-shapeCultivating a rebellious ‘data liberation’ ethos that bonds practitioners against restrictive SaaS vendors

Writing Style Patterns

Content Strategy

Hook: Quoting or referencing ‘LinkedIn influencer’ culture in a toTone: informalCTA: Comment-to-receive resource (Zoom link, doc, promp

Writing style breakdown

- Core characteristics

Strongly informal, conversational, and highly personal.

- Blends

Tech/GTM professional insight

Internet shitposting energy

Direct-response copywriting and offer language

Voice is confident, slightly chaotic, and self-aware. It often feels like someone thinking out loud in real time.

- Tone oscillates between

Playful / jokey (“Don’t be a weenie about it”)

Hyper-direct and blunt (“AI message personalization is A CANCER on sales”)

Earnest educator / builder describing actual complex GTM systems.

- Formality

Overall: casual to very casual.

Grammar rules are frequently bent or broken on purpose.

Uses slang, Internet idioms, and internal jokes freely.

Does not slow down to explain jargon if aimed at GTM/tech audience (Clay, Claude Code, GTM, enrichment, etc.).

- Emotional tone and energy

High-energy, fast-paced, and a bit manic in places.

Uses all caps, ellipses, and punchy one-liners to spike emotional intensity.

Shows excitement about tech, tools, and the future (“this is what GTM Engineering looks like in the future…”).

Often uses humor + self-deprecation (“Follow to figure out how badly I fail…”).

- Signature traits

Hooks that are provocative, exaggerated, or meme-adjacent.

- Examples

AI message personalization is A CANCER on sales and here’s what to do INSTEAD…

Jordan is going full AGI in 2026...

Frequent use of ellipses “...” to simulate pauses, suspense, or trailing thoughts.

Switches between serious, technical sophistication and juvenile jokes / taunts within the same post.

Reliance on “here’s why / here’s how / here’s what we did” as structural markers.

Direct audience engagement: comments, DMs, “follow”, explicit instructions.

Jokes that anthropomorphize “the internet” or tools (“THE INTERNET ATE ME UP!!”).

- Addressing the reader

Heavy use of second person “you” when giving advice or selling.

First person singular “I” to describe experiments, tools built, and personal processes.

First-person plural “we” when describing collaborative builds or product work (“What We Did: Review Enrichment & Classification Pipeline”).

- Direct commands dominate over gentle suggestions

Comment below and I’ll DM you...

Buy now.

Follow to figure out how badly I fail...

- Occasionally softens at the end for a warm invitation

Come join me, won’t you?

Jordan Crawford

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

- Core characteristics

- Blends

- Tone oscillates between

- Formality

- Emotional tone and energy

- Signature traits

- Examples

- Addressing the reader

- Direct commands dominate over gentle suggestions

- Occasionally softens at the end for a warm invitation