Michel Lieben 🧠 Details $7M ARR ‘Vibe’ Marketing Stack Driven by AI Tools

In a recent LinkedIn post, Michel Lieben 🧠 shares an in-depth look at the marketing technology stack powering their business at $7 million in Annual Recurring Revenue (ARR). Lieben 🧠 meticulously details the tools and APIs leveraged, with a strong emphasis on the integration of AI coding platforms like Claude Code and OpenAI Codex, and contrasts them with early-stage tools.

The post outlines a ‘final vibe’ marketing stack, highlighting specific tools and their monthly costs where applicable. A core component of this stack is Conductor, which Lieben 🧠 describes as their preferred interface for interacting with AI models.

“My go-to interface to run Claude Code & Codex’s latest models. UI is much nicer than a terminal + it lets you effortlessly toggle between Codex & Claude Code.”

Lieben 🧠 positions Conductor as central to their operations, enabling a wide array of Go-To-Market (GTM) activities that extend beyond traditional outbound efforts. These include the creation of custom mini-tools for lead generation, complex data scraping and enrichment workflows, in-depth SEO analysis using Google Analytics MCP, and the generation of entire ad and outbound campaigns.

AI Coding Platforms as Central GTM Hubs

A significant portion of Lieben 🧠’s analysis focuses on the capabilities of Claude Code, which they describe as their central hub for API and MCP calls. The platform’s ability to orchestrate API interactions without requiring deep technical knowledge of API functions is a key benefit. As Michel Lieben 🧠 notes, users can simply provide API documentation, and the AI handles the connection.

The post elaborates on how Claude Code is utilized to connect with various GTM-focused APIs:

• PredictLeads: For company intelligence data, including hiring signals, tech stacks, and funding details. Lieben 🧠 provides an example use case: querying Claude Code to identify the tech stacks of target companies.
• Exa: Used for generating lead lists in natural language. An example use case involves asking Exa via Claude Code to find specific types of companies in certain regions, such as “Series A fintech companies in Europe”.
• LeadsFactory: A ‘Find people API’ that helps locate individuals by job title when provided with domain or LinkedIn company URLs.
• Google Analytics MCP: This API integration yielded a particularly insightful custom SEO report, according to Lieben 🧠, identifying overlooked gaps quickly.
• Apify: For tapping into custom scraping actors.
• Openmart: A database for local B2B information.

Comparing AI Tools and Early-Stage Prototypes

Michel Lieben 🧠 also provides a comparative analysis of other tools within their stack. OpenAI Codex, while used less frequently, is maintained for specific builds that more advanced models like Opus might not handle. Its native integration with Conductor makes its $20/mo cost an easy decision.

Cursor, an initial tool Lieben 🧠 used and enjoyed for its UI, was employed to run Claude Code and build landing pages. However, Lieben 🧠 has decided to cancel their Cursor subscription as Conductor now offers similar functionality with both Claude Code and Codex integrated, plus a superior user interface.

“I began with Cursor. Loved the UI, so I was running Claude Code inside it. I used it to design/build some really sharp landing pages. …but Conductor now covers everything I need with both Claude Code & Codex baked in, with an even slicker UI so… I’m cancelling Cursor.”

Early-stage prototyping tools like Lovable were also crucial during the initial phases for building mini-tools. However, Lieben 🧠 concludes that Claude Code (CC) is now the more powerful solution for their current needs.

Infrastructure and Development Tools

Beyond the core AI and data platforms, Lieben 🧠’s stack includes essential infrastructure and development tools:

• Vercel: Used for hosting all custom mini-apps and the company’s main website.
• GitHub: Standard version control and collaboration platform.

Lieben 🧠 concludes the post by asking about the most innovative uses of these AI coding platforms by others in the community and provides a link to a video detailing their toolset and usage.