How AirOps Achieved Hypergrowth: A Deep Dive into Their Go-To-Market Tech Stack, As Revealed by M…

M

Michel Lieben 🧠

LinkedIn Author

Founder & CEO at ColdIQ | Tomorrow’s GTM Systems, Built for you 👉 coldiq.com

In a recent LinkedIn post, Michel Lieben 🧠 delves into the specific technology stack that propelled AirOps from $2 million to $15 million in Annual Recurring Revenue (ARR) within an impressive 11-month period. Lieben 🧠 highlights the generosity of AirOps’ Head of Growth, Eoin Clancy, and Co-Founder Matt Hammel in sharing their complete Go-To-Market (GTM) technology infrastructure.

Deconstructing AirOps’s Scaled Growth Engine

Michel Lieben 🧠 breaks down the tools into key functional areas, emphasizing the strategic choices made by the AirOps team. The analysis begins with the core of AirOps’s mission: helping brands enhance their presence on AI Search and Large Language Models (LLMs). This mission directly informs their content strategy and the tools employed to execute it.

Fueling Content and Community Growth

According to Michel Lieben 🧠, the ‘ADS & CONTENT’ category is crucial for AirOps. The tools selected reflect a focus on efficient content creation and community engagement. Lieben 🧠 notes the use of Descript for transcript-based video editing, essential for their webinar and broader content production. Circle, a community platform, is leveraged to foster their ‘content engineer’ group.

Figma is mentioned for its design capabilities, now enhanced with AI features that expedite visual asset creation. Perhaps most notably, AirOps utilizes its own platform to monitor brand presence in AI search, automate content workflows, and identify content gaps that can lead to LLM citations. For LinkedIn engagement tracking, Fibbler is employed to identify companies interacting with their thought leadership content.

“Their Head of Growth, Eoin Clancy and their Co-Founder Matt Hammel were generous enough to reveal their complete GTM tech stack ↓”

Streamlined Outbound and Prospecting Tools

Michel Lieben 🧠 then shifts focus to the ‘OUTBOUND’ technology stack, describing it as streamlined yet featuring top-tier prospecting tools. This section details how AirOps coordinates multichannel outbound campaigns.

Key tools highlighted include lemlist for personalized email and LinkedIn outreach, and Clay for account mapping, data enrichment, and triggering sophisticated outbound workflows. Common Room is used to consolidate buying signals and drive intent-based activation, while Trigify.io monitors relevant social signals and trends. Smartlead supports scaling bulk email outreach with a focus on inbox primary delivery. Attention is utilized for capturing sales calls and extracting customer insights.

Product Analytics and Website Infrastructure

The ‘PRODUCT’ section, as outlined by Michel Lieben 🧠, covers the software used for production data analysis. This includes Hex, an AI-enabled analytics workspace; Amplitude, a deep product analytics tool for monitoring user onboarding; and Metabase, a self-serve business intelligence solution for dashboarding.

Michel Lieben 🧠 points out that the company’s website is hosted on Webflow, chosen for its integrated CMS and site builder capabilities that align with their content stack. HockeyStack is the tool of choice for tracking and attribution.

“I was actually surprised to see how efficient their stack is. Just over ~10 GTM tools to scale beyond 8-figure ARR in just a year.”

Hiring and Communication Tools

Finally, the ‘HIRING / COMMS’ category, as reported by Michel Lieben 🧠, includes Juicebox, an AI recruiting platform for sourcing and candidate engagement, and Loom for asynchronous video communication to maintain team alignment.

Michel Lieben 🧠 concludes by emphasizing the lean nature of the stack, noting,

“Just over ~10 GTM tools to scale beyond 8-figure ARR in just a year. That’s remarkably lean if you ask me.”

The post implicitly invites further discussion on accelerating growth in 2026, positioning the detailed tech stack as a foundational element of AirOps’s rapid success.

📝 About This Content

This article is based on insights shared by Michel Lieben 🧠 on LinkedIn.

📅 Originally posted on January 13, 2026 | View original post on LinkedIn →