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I spent 300+ hours using Claude Code to run our GTM and build lead generation tools, enrich prospect data, run SEO analysis, and automate scraping workflows.
Here is the exact stack I use, what each tool does, and how the APIs connect through Claude Code to create a system that replaces manual work across our entire go-to-market.
1. The Core Platform: Conductor + Claude Code
Conductor is my interface of choice to run coding agents in parallel. It natively integrates Claude Code and Codex, and the UI is significantly better than running agents in a terminal.
I use Claude Code natively within it for most tasks. It handles API calls, builds mini-tools, runs enrichment workflows, and performs analysis. Think of it as my unified interface for all API and MCP calls.
The cost is $100 per month for Claude Code. For what it produces, that is one of the best investments in the entire stack.
2. Supporting Build Tools
OpenAI Codex ($20/mo) sits inside Conductor as a backup. I do not use it often, but when Opus cannot complete a build, Codex handles it. At $20 per month, keeping access is a no-brainer.
Cursor ($60/mo) is where I started. I was running Claude Code within it because I liked the UI. I used it to build some landing pages. But Conductor now does everything I need with both Claude Code and Codex built in, with an even better interface.
Lovable was useful early on for prototyping and our first mini-tools. It is a great starting point for anyone building their first applications. But for what we are doing now, Claude Code is better.
Vercel handles deployment. All our mini-apps and our site deploy here.
GitHub manages version control.
3. The APIs: Where It Gets Interesting
Claude Code is a very convenient way to orchestrate API calls. You do not need to understand how APIs work. You feed it an app's API documentation, and it figures out the connection on its own.
Here are the GTM APIs I plug into it:
PredictLeads provides company intelligence data, including hiring signals, tech stacks, and funding information. I call its API from Claude Code to uncover target companies' technology stacks and identify buying triggers.
Based on PredictLeads’s API (and others), we’ve built a mini tool to track these signals.
If you want to see which companies are actively researching solutions in your space right now, you can do it for free here:
Intent Signals Tool
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Quick examples:
LeadsFactory is a "Find People" API. I use it within Claude Code to find people by job title given a list of domain URLs or LinkedIn company URLs.
Exa builds lead lists in natural language. I call its API to run queries like "Find Series A fintech companies in Europe" and it returns structured results.
Openmart covers local B2B data. For campaigns targeting SMBs and local businesses, it fills the gap that other databases miss.
Prospeo.io and FullEnrich APIs handle email address and phone number enrichment. I run both through Claude Code to maximize coverage across different data sources.
With a combination of these contact finding tools and Claude Code, we built a very interesting tool.
You can find verified contact data for your target accounts here, for free:
Email Finder Tool
Your target's information
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Apify provides custom scraping actors. I use it to build targeted scrapers for specific data sources that other tools cannot reach. Still experimenting heavily with this one.
4. Google Analytics MCP: The Surprise MVP
This one caught me off guard. I connected Google Analytics via MCP to Claude Code, and it built one of the most valuable custom SEO reports I have ever seen. It flagged gaps we had missed for months in a matter of minutes.
The report identified underperforming pages, traffic drop patterns, keyword opportunities, and content gaps that our standard analytics workflow had completely overlooked. We had been looking at the same dashboards for months without seeing what a fresh analysis surfaced in minutes.
If you are running SEO and have not tried plugging Google Analytics into a coding agent, start there. The insights-per-minute ratio is unlike anything else in this stack.
5. What This Stack Produces
This is not a theoretical setup. Here is what we build and run with it on a weekly basis:
→ Mini-tools for lead generation that capture thousands of emails per month
→ List building workflows that source and enrich prospects across Exa, Prospeo.io, and FullEnrich
→ In-depth SEO analysis via Google Analytics MCP
→ Custom scraping and enrichment workflows via Apify
→ Landing pages and internal tools deployed on Vercel
The total monthly cost of this stack is roughly $180 for the core platforms. The APIs run on usage-based pricing, but even at our volume, the total rarely exceeds $500 per month.
For a $7M ARR agency, that is negligible. The output it generates would require multiple full-time hires to replicate manually.
The most exciting about these tools is that they don’t have any roof to their potential and you can create based on your creativity and ideas.
For example, a great product we’ve build in record times was the campaign ideation tool.
You can generate campaign ideas based on your ICP and content strategy in seconds, for free:
Campaign Ideation Tool
Enter your email to generate your campaign ideas.
6. The Shift to Vibe GTM
The broader pattern here is that GTM is becoming a technical discipline. The operators who learn to use coding agents, connect APIs, and build their own tools will operate at a fundamentally different speed than those who rely on manual workflows and off-the-shelf platforms.
You do not need to be a developer. I am not one. You need to be willing to experiment, feed documentation into an AI agent, and iterate until it works.
The tools are all accessible. Claude Code costs $100 per month. Conductor is free. Most APIs have generous free tiers.
The barrier is not cost. It is willingness to learn.
