Amos Bar-Joseph: This SaaS CEO is scaling to $10M ARR per FTE using AI Agents & Founder-Led Content

Amos Bar-Joseph is the co-founder and CEO of Swan AI, a go-to-market automation platform powered by AI agents.

In just 9 weeks, Swan went from zero to $1M ARR, with no sales team, no paid marketing, and no employees beyond the three co-founders.

In this episode, Amos breaks down how he used LinkedIn to drive 100% of their pipeline, how he turned content into a system, and why movements outperform personal brands.

Topics we cover in this episode:

- Scaling to $1M ARR in 9 weeks with just 3 founders

- Why Amos rejected the unicorn playbook

- From 2K to 20K followers: the system behind his LinkedIn growth

- How Swan uses AI agents to generate pipeline, without cold outbound

- The “challenge the challenger” narrative strategy explained

- Why a movement is bigger than brand (and how to build one)

- How to write content that goes viral and turns into revenue

- The internal AI stack that powers Swan’s GTM

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Connect with Amos:

- LinkedIn: https://www.linkedin.com/in/amos-bar-joseph-5a665a142/

- Swan AI:https://www.getswan.com/

Connect with me:

- LinkedIn: https://www.linkedin.com/in/finnthormeier/

- Website: https://www.project33.io/

- Podcast: https://open.spotify.com/show/03CXzsZp7wdqIRVDcqPTFH

Chapters

00:00 Building Swan AI → $1M ARR in 9 Weeks

02:15 The anti-unicorn playbook: scaling with intelligence

04:45 Why Swan only has 3 people—and plans to keep it that way

06:40 The birth of the “autonomous business” movement

09:00 From 2K to 20K followers in 9 weeks (and how it happened)

11:12 Founder-led marketing vs. movement-led marketing

13:24 The “challenge the challenger” narrative strategy

15:06 Why credibility comes from what you’re doing now, not your past

17:10 Writing viral content: structure, systems, and smart hooks

20:25 Launch playbook: how Amos engineered momentum from day one

24:50 Becoming a broker of belief, not just a source of opinions

27:32 Writing process: AI collaboration, prompts, and iterations

30:00 Pillars, lenses, and how to always have something to say

32:36 Turning impressions into pipeline with AI agents

34:20 The LinkedIn-to-revenue system: observer, connector, hunter

36:30 Why comments, DMs, and replies matter more than you think

38:30 What it takes to hit $10M ARR per founder

40:15 Swan’s new operating system: replacing org charts with workflows

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