
Growth After Headcount
Growth After Headcount is a podcast about companies that are redefining growth in the age of AI, focusing on founders building AI-native businesses with minimal headcount and leaders in established firms trying to adapt. Each episode features conversations with practitioners who share how they structure work, decide what to hand off to AI, and where the old scaling methods fall short. The show is hosted by Haris Odobasic, a GTM and RevOps consultant and author of The RevOps Pendulum, who explores how AI is transforming company building and scaling.
Episodes

From Stop Hiring Humans to Be More Human — Jaspar Carmichael-Jack (Artisan) #011
Artisan's earlier Stop Hiring Humans campaign put the company on the map. But founder and CEO Jaspar Carmichael-Jack says the message didn't fit all its customers: enterprise sales teams were using Ava to help their existing people do more. Inside Artisan, he says the team is around 50 people, despite earlier plans to grow beyond 100. And some employees' AI token bills became large enough that hir

Unicorn To €100M: More Per Rep, Not More Reps — Molo Lorenz (Moss) #010
Moss just became a unicorn. The next target is €100M ARR, and the plan for getting there does not involve a hiring spree. Moritz "Molo" Lorenz runs GTM engineering at Moss, a four-person team inside RevOps that works across the ops, systems, and data teams. His job is to make every rep produce more, so revenue can grow much faster than headcount.This episode is about the order of operations. Moss

Two People, $1.2M ARR, No Sales Team — Adam Holmgren (Fibbler) #009
Adam Holmgren built Fibbler to $1.2M ARR with one co-founder and no sales team. He is not an engineer. He spent ten years in B2B marketing, started the company on the side of a full-time job, and now ships more product features than his technical co-founder does. His first fifty customers came from a LinkedIn audience he built two years before there was a product. The first employee is being hired

The 5 Tiers Of AI Vulnerability — Bram Kaashoek (Main Capital) #008
Y Combinator's latest guidance to founders was blunt: AI has cut the cost of building software 10 to 100x, so clone an existing product and sell it for a tenth of the price. Bram Kaashoek is Partner and COO at Main Capital Partners, a PE firm with more than 50 enterprise software companies representing €12 billion in assets. His answer is not defensive. Cheaper code is real. It just isn't the game

Building The 10x Accountant — Nick Knuppe (Neno) #007
Traditional accounting firms run one accountant per 30 to 35 clients. Nick Knuppe is building toward one per 150. Neno is an AI-native financial services company that is both the software and the accounting firm: business bank accounts, expense cards, AR and AP, in-house accountants and tax fiscalists, and its own general ledger. In August 2026, Neno announced a €6.6 million seed round led by Alle

There's A New Chasm Before The Chasm — Yannick Dillen (Vlerick) #006
Yannick Dillen teaches entrepreneurship at Vlerick Business School and watches students kill good startup ideas over a 1,000 euro token bill. Meanwhile, Belgian scale-ups that fired their software engineers are quietly reposting the same vacancies. His argument: the zero-employee startup is not the cheap startup. Salary cost became token cost, and the pendulum between AI and software will settle i

AI in Go-To-Market: Building a Revenue System for 2026 — Jacco van der Kooij #005
Jacco van der Kooij has spent over a decade telling SaaS companies how to build revenue systems. His read on AI is not that it makes teams faster. It's that AI revealed what was already broken. Companies never trained their people properly, and their marketing and sales systems were built not to talk to each other. The tools didn't cause the problem. They exposed it.The conversation runs from why

$8.6M ARR, Nobody's Touched It In A Month — Adam Robinson (RB2B) #004
Adam Robinson runs RB2B at $8.6M ARR. His CTO has not touched the code in over a month, he posts on LinkedIn three times a week about something else entirely, and the business keeps growing. He did not get there by wiring together the most sophisticated agents. He kept the product stupid simple, designed the whole thing from first principles so AI could handle the work a team used to, and priced i

CRO 2.0: $25M To $100M From The Terminal — Omar Ismail (Ascend) #003
Ascend grew from zero to $25M ARR with no growth team. No growth marketer, no ads manager, no paid engine. Word of mouth, referrals, and a small set of partnerships. Then Omar Ismail joined as COO and built the entire go-to-market stack himself, orchestrated end to end in Claude Code. The target now: $100M ARR without meaningfully scaling headcount.Omar calls the second half of his job CRO 2.0: on

100x The Human, Skip The Headcount — Amos Bar-Joseph (Swan AI) #002
Amos Bar-Joseph built and scaled two B2B startups on the old playbook. Raise big, hire to forty people before the first million in revenue, then spend years fighting the bloat you created. With Swan AI he threw it out. In 2025 Swan went from zero to over 200 customers and seven figures in ARR with three founders and no additional hires.The number he's aiming at is ten million dollars in ARR per em

Growth After Headcount — The Podcast (Trailer)
The old playbook said scale revenue by scaling people. That playbook is dead.A new generation of companies is running on AI instead of headcount. Small teams, serious revenue, and org charts that would have looked impossible three years ago. This podcast goes inside those companies to find out how they actually work, from the founders building them.Each episode is a conversation with someone runni

Growth After Headcount — What is this about? #001
The old playbook said scale revenue by scaling people. A new generation of companies is throwing it out.I'm Haris Odobasic, and this is Growth After Headcount — a podcast and a book about how companies scale with AI instead of headcount.I come from revenue operations, where the whole job is aligning people, process, technology, and data into one efficient revenue system. It works, but it's still p
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