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Claude Code & MCPs built my $145K marketing machine

2026-03-02 People & Blogs
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Greg Isenberg
Greg Isenberg
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Description

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now. Cody’s GTM Toolkit: *AI/Agent Tools:* Claude Code, Perplexity API, OpenAI Codex *Marketing & Outreach:* Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping) *Advertising:* Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation) *Infrastructure & Deployment:* Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment) *Data & Analytics:* Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4 *CRM & Communication:* Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API *Productivity & Design:* Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs) Cody's GTM Engineering Course: https://startup-ideas-pod.link/GTM-engineering Timestamps 00:00 – Intro 02:02 – What Is GTM Engineering? 05:12 – Setting Up Your Agent Workspace & Environment File 07:54 – Live Demo: LinkedIn Auto-Responder 09:56 – Live Demo: Bulk Facebook Ad Generator 12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly) 14:47 – Live Demo: Creating Notion Documents via Claude Code 16:46 – Live Demo: Bulk Ad Creative Generator 26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline 28:16 – Context Switching Across Tasks 29:19 – Live Demo: Bulk Ad Generator 31:41 – Live Demo: Data Analysis: Turning Off Low-Performing Ads 35:28 – Summary of GTM Engineering Workflow 37:48 – Deploying Agents and On-the-Fly Databases with Railway for Data Analysis 41:28 – The Dream of Autonomous Marketing 48:50 – Building API-First Products and Agent-Native Infrastructure Key Points * GTM engineering has evolved from Clay-style data enrichment workflows into full-stack agent orchestration — where one person running multiple Claude Code agents can replace the output of a large team. * The practical setup starts with a single folder containing your environment file (API keys for every tool in your stack), transcription software like Super Whisper, and Claude Code. * Cody demonstrates running seven or more agents simultaneously across LinkedIn outreach, Facebook ad creation, cold email campaigns, Notion document generation, and live data dashboards. * Code-generated ad creative (React components exported as PNGs) costs nearly nothing to produce at scale and allows rapid testing of messaging variations before investing in polished visuals. * Deploying proven workflows to Railway turns one-off agent tasks into always-on, autonomous processes that run 24/7. * Domain expertise is the real multiplier — the vocabulary you bring from your field determines the quality of output you can extract from these tools. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody’s startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx

Top Comments (10)

@codyschneiderx 2026-03-03

thanks for hosting me g !!! I've read all the comments so far and hear your feedback and comments below: 1. zero to one I totally agree that there wasn't any zero to ones. It's extremely hard to show this without having it be extremely boring, because you're just like watching Claude Code work. I'm still figuring out how to teach this. We are hard pivoting my YouTube channel into just this and showing the whole zero to one process 2. free course first off it will never be paid. It will always be free. I will give everything away for free second I don't know what else to call it besides a course a curriculum? It's just like all the videos showing the zero to ones for everything I'm building maybe it will be a YouTube playlist I just needed a place to organize and document everything this is TBD. It's in production. I just am trying to see if people want this. And so far, it looks like they do I will edit this comment as more feedback happens it's really hard to explain new things. That are so nascent. You don't even know how to describe them yet.

76 14 replies
@SundayNight_Ai 2026-03-03

code is a hell of a drug

15 2 replies
@cjohnson9751 2026-03-03

One of my favorite episodes so far! Cody really shows the joy and excitement of being an agent jockey. I don’t have the marketing domain expertise so this is a great insight into that space. Come back and do more! Also for creators like Greg, can we include a conversation about tool spend on these episodes? I’m curious on strategies for managing that as well as getting an overall budget perspective for the things we are seeing.

5
@NateHarvey-q3i 2026-03-03

damn bro levels to this marketing stuff

2
@mikachiq 2026-03-06

Streamlining complex data analysis is one thing, but scaling it reliably across multiple channels is a whole different challenge. Lifewood's practice around annotation and validation pipelines is built exactly for that kind of complexity. Compliance tends to be the piece that slows things down the most when data types start to diversify.

2
@TalkToMyAgent-Jr 2026-03-02

Cody, it’s been too long. AI sonic boom. API sauce. Luv it!

1 1 replies
@realty-roop 2026-03-02

Cody is the man! Thanks for sharing the sauce <3

0 1 replies
@smartbotaiagency 2026-04-11

Real sauce. GTM Engineering next frontier

0
@eiderfranciscor.cambulacam8 2026-03-18

Thank you for this outstanding opportunity to learn and engage into this new AI world

0
@TheLegends7315 2026-03-24

Wow thanks for posting this. I will have watch this again . But it gives me confidence to get this built.

0

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