Jeff Ignacio's LinkedIn Strategy, Growth &…

Is the value of #revenueoperations understood well? Here's my take on conversations I've had with prospects and clients alike. We as a profession will never stop communicating our value ✅ 𝗪𝗵𝗲𝗿𝗲…

LinkedIn post image: Is the value of #revenueoperations understood well? Here's my take on conversations I've had with prospects and clients

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Revenue Operations2 months ago

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I've been posting less on LinkedIn recently. Mostly because it feels like the only engagement is coming from AI commenters. I am very curious if the folks who actually value my content is even seeing…

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RevOps & AIabout 1 month ago

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These AI commenters on posts drive me insane.

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AIabout 1 month ago

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Take some time out to enjoy life a bit with those you love. And if you have a chance, go out to some FIFA World Cup events while it's happening ⚽️ 🌎 🏆

LinkedIn post image: Take some time out to enjoy life a bit with those you love. And if you have a chance, go out to some FIFA World Cup even

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Lifestyle & Wellness2 months ago

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For all the forkers out there here's a deal intelligence agent you can deploy (and improve upon!) 👇 The new AI for RevOps course on Maven will go over the concepts to build this out I'll be buildi…

LinkedIn post image: For all the forkers out there here's a deal intelligence agent you can deploy (and improve upon!) 👇

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AI & Sales Operations14 days ago

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We're moving quickly with a desire to to build AI agents before we fixed the thing underneath them The tooling is moving fast and the pressure to ship something agentic is real. So we layer Claude, o…

LinkedIn post image: We're moving quickly with a desire to to build AI agents before we fixed the thing underneath them

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AI & Data Strategy3 months ago

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Topics & Content Focus

Primary Topics

AI Infrastructure for Revenue OperationsLLM Model Arbitrage & Cost OptimizationData Governance & Normalization StrategyAgentic Workflow Engineering

Secondary Themes

B2B Sales Methodology Automation (MEDDICC)Full-Stack 'Vibe Coding' for Non-EngineersForward Deployment Implementation ModelsCross-Platform Data Interoperability

Industry Focus

B2B SaaS Revenue OperationsSales Technology & EnablementAI Engineering for Business Systems

Content Categories

Technical 'How-To' BlueprintsStrategic Ops PhilosophyTool-Stack RecommendationsLead Magnet / Course Promotion

Performance Insights

36.9%

Avg Engagement Rate

INCREASING

Performance Trend

Best Performing Topics

Open Source Repos & Forkable AgentsAI Operator Skill StacksModel Comparison & Benchmarking

Virality Signals

Asset-gating (Repo for comment)Specific model benchmarking (Claude vs DeepSeek)Solving the 'Mundane' (Data cleaning pain points)

Structure & Quality

185

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.85/10

Uniqueness Score

Common Hooks

The 'Gap' Identification (There's a gap in AI...)The 'Empathy for the Grind' (Data is always bad...)The 'Direct Value Offer' (For all the forkers out there...)

Common Endings

Good luck out there. Go forth and operate 👋Curious if any of the following below fit your learning agenda 🤔Comment your favorite vacation spot below

Value Delivery Methods

Practical code/repo sharingReal-world model testing resultsArchitectural frameworks for RevOps

Formatting Style

Bullet-heavy technical checklistsShort, staccato line breaks for readabilityUse of directional emojis (➡️, 👇) to guide flow

Audience & Tone

YES

Question Usage

0.8%

Response Rate

Detected Tone

PragmaticTechnically AuthoritativeEmpathetic to Ops FrictionBuilder-Centricsemi-formalfirst-person

Interaction Style

Peer-to-peer technical mentorshipCommunity resource sharingStrategic provocation

Community Building Signals

Maven Course CohortsGitHub Repo Forking Community

Writing Style Patterns

Content Strategy

Hook: The 'Gap' Identification (There's a gap in AI...)Tone: semi-formalCTA: Engagement Bait (Comment for Repo)

Writing style breakdown

Building in public is easy until you hit the 'last mile' of configuration. I've been heads down on a new agentic workflow for lead routing and the complexity sprawl is real 👇

You start with a simple prompt to categorize inbound leads

Then you realize your CRM data is too messy for the LLM to make a clean decision

So you add a data enrichment step via API

Then you realize the latency is killing your lead response time

So you move to an asynchronous architecture using a message queue

And that's all before you even consider the cost of token burn on high-reasoning models

➡️ Infrastructure: Railway + Supabase

➡️ Logic: n8n or custom Python scripts

➡️ Models: Haiku for speed, Sonnet for accuracy

➡️ Monitoring: LangSmith or custom logging

I'm seeing a lot of 'toys' being built, but the real value is in the boring plumbing that actually moves the needle on revenue

If you want to see the architectural diagram for this setup, drop a 'MAP' in the comments

Good luck out there

Go forth and operate 👋

Jeff Ignacio

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post