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Claude Code & MCPs built my $145K marketing machine

80.8K views· 2,029 likes· 54:07· Mar 2, 2026

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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

About This Video

In this episode I sat down with my friend Cody Schneider and we live-built a GTM engineering “marketing machine” using Claude Code, MCPs, and a stack of APIs. The point isn’t “vibe code anything.” It’s: how do you get customers 24/7 by offloading the middle work (everything that used to require touching a keyboard) to agents. We spun up a bunch of Claude Code instances at once and started chaining real workflows together—LinkedIn auto-responders for asset requests, bulk Facebook ad creative generation, cold email automation, and even Notion doc creation—while other agents kept running in the background. The big takeaway: domain expertise + AI is the advantage. You don’t need to give an AI god-mode access to your life. You build specific jobs-to-be-done workflows, wire them to robust APIs, and then deploy them so they run in perpetuity. We talked through the foundational setup (a folder/repo you “live out of,” an environment file with API keys, and voice transcription like Super Whisper), then showed how you can generate and upload ad variants, track results with dashboards, and start moving toward a loop where agents create, publish, analyze, and prune winners/losers. This is what GTM engineering is becoming: personal software that compounds.

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