Performance Overview

Followers

61.4K

Connections

30.0K

Avg. Engagement

Posting Patterns & Frequency

2.2 posts/week

Posts / Week

3.6 days

Days Between Posts

1

Total Posts Analyzed

MEDIUM

Posting Frequency

Timezone: America/Cambridge_Bay

Best Performing Days

MondayTuesday

Best Performing Times To Post

09:00-12:00

Topics & Content Focus

Primary Topics

AI-native GTM operations (agents, MCP tooling, automation-as-workflow)LinkedIn as a B2B distribution channel (personal-brand-led pipeline vs. company-page theater)Outbound messaging psychology and mechanics (DM frameworks, intent signals, personalization at scale)

Secondary Themes

Revenue-tech product strategy and pricing critique (unit economics, passthrough risk, API key monetization)Tooling migration narrative (from no-code UI experimentation to code/terminal workflows)AI’s effect on communication quality (detectable patterns, language degradation)

Industry Focus

B2B SaaS go-to-market teams (GTM engineers, growth, RevOps, outbound)Sales automation/data tooling ecosystem (sequencers, email/data providers, CRMs)Founder-led marketing and personal branding for B2B

Content Categories

Contrarian channel strategy takesBuild-in-public product drops (free beta access)Tactical playbooks/templates (DM scripts, frameworks)Market commentary + product teardown (pricing, positioning, technical debt)Observational micro-essays on AI and writing

Performance Insights

203%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

AI-native GTM tooling drops with free access (MCP/CLI) + comment gatingOutbound DM frameworks with quantified results + lead magnet

Virality Signals

Exceptionally high comment volume driven by keyword-based accessClear, specific promised artifact (tool/guide/GPT) that justifies commentingPolarizing/contrarian positioning (business pages are dead; pricing critique)Directly recruits a niche identity group ("tag a GTM engineer")High comment-to-like ratio indicating utility-seeking and transactional engagement

Structure & Quality

250

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Counterintuitive claim framed as a teardown ("X is where Y goes to die")Specific outcome delta + curiosity gap ("3% to 20% with four sentences")Build reveal + simplification promise ("one MCP to run the whole GTM")Industry provocation framed as a question ("Who wants to talk about…?")Micro-pattern observation ("once you see this you will see it everywhere")

Common Endings

Comment-gated access instruction (keyword + connect)Direct prompt for debate ("What do you think?")Tag-a-peer request to pull in a specific personaCredibility/ethics footnote (disclosure, constraints, platform limits)

Value Delivery Methods

Operational heuristics from audits/client work (what actually drives pipeline)Actionable frameworks packaged as repeatable stepsTooling abstraction narrative that reduces complexity ("one connector for many systems")Nuanced critique that includes tradeoffs and incentives (valuation, passthrough revenue, technical debt)Trust-building transparency (constraints, disclosures, what they actually do in their workflow)

Formatting Style

Short paragraphs with strong line breaksBullet lists for workflow/tool explanationParentheticals for tone, constraints, and disclosuresOccasional lowercase, conversational style for intimacyEmbedded mini-frameworks with named steps

Audience & Tone

YES

Question Usage

20%

Response Rate

Detected Tone

Smart-casual operatorBuilder/technologist with GTM pragmatismContrarian but not cynicalCandid and incentive-awareDirect-response marketer instincts (strong CTA, lead magnet mechanics)informalfirst-person

Interaction Style

Comment-driven lead capture (keyword gating)Debate invitations around tools/pricing/strategyPeer-to-peer referrals (tagging specific roles)DM-based pipeline conversations implied/encouraged

Community Building Signals

Creates micro-communities around niche roles (GTM engineers, outbound operators)Reinforces insider language (MCP, waterfalls, passthrough revenue) to signal belongingUses feedback loops (beta feedback submission) to turn audience into collaborators

Writing Style Patterns

Content Strategy

Hook: Counterintuitive claim framed as a teardown ("X is where Y gTone: informalCTA: High-friction but high-intent CTA (comment keyword

Writing style breakdown

i just built an AI agent that does 10 hours of lead research in 10 seconds.

(and it's actually good)

Most sales teams are drowning in "admin" work. They spend all morning looking at LinkedIn profiles and all afternoon writing emails that get ignored.

It's a volume game they're losing because they can't scale personalization.

I decided to fix this.

I connected a custom MCP to Claude Code that scrapes a prospect's last 5 posts, analyzes their tone, and identifies their #1 business pain point.

The result?

100% personalized openers.

Zero manual research.

4x higher booking rate.

I used this to fill my calendar for next week while I was eating lunch.

The agent doesn't just "write an email." It thinks like a high-ticket closer. It knows when to be aggressive and when to be soft.

I'm giving the entire workflow away for free today.

→ The "Research Agent" prompt

→ The MCP configuration guide

→ My 3-step "Human-in-the-loop" verification system

→ Video of me using it to book a $15k deal

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