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Episode Highlights

  • 00:05 : Creating New Markets with AI 
  • 02:45 : The Shift from Traditional Models to Autonomous Business 
  • 05:20 : Scaling with Intelligence, Not Headcount 
  • 08:08 : Empowering Humans with AI 
  • 10:20 : The Atomization of Companies 
  • 12:55 : Building vs. Buying: The New Go-To-Market Stack 
  • 15:57 : Democratizing Go-To-Market Engineering 
  • 18:41 : Context as the New Oil in AI 
  • 21:13 : The Future of SaaS in an AI-Driven World 
  • 25:15 : The Rise of Coding Agents 
  • 27:05 : Redefining Software Manufacturing 
  • 28:01 : Building a Movement vs. Marketing a Product 
  • 31:08 : The Power of Positive Narratives 
  • 34:40 : Creating a Movement: Principles and Tactics 
  • 44:33 : Tactical Steps for Movement Building 

The founder who fired the playbook

Amos Bar-Joseph built two B2B companies on the unicorn playbook. For his third, Swan, he hired nobody and turned his own conviction into a movement.

I've interviewed a lot of founders who say they want to stay small. Most are posturing but Amos means it. He's building Swan with three people and chasing a number most VCs would laugh at out loud: $10 million in ARR per employee.

What makes him worth listening to isn't the headline, it's how he got there. Amos already built and scaled two B2B companies the normal way. He calls this the "unicorn growth-at-all-costs playbook." Raise a ton before you know who you serve, balloon to 40 people before your first million, chase valuation over value. He did it twice, and he hated it. So when he started Swan, he threw the playbook out and wrote a new one. This is it.

1. Bet the whole company on one assumption

Most founders stack their startup on a dozen fragile bets and pray none of them break. Amos went the other way. "At every startup there's a fundamental, highly risky assumption your entire thesis sits on," he told us. "When you have a lot of different assumptions and each one can collapse the company, that's where you're in danger."

So he reduced Swan to a single bet. Can we scale with intelligence, not headcount? "If we can, we win. If not, we lose. That's okay." One assumption, and he can see at any moment whether it's still holding.

2. Pick a North Star no one else is using

Three founders, no hires, and a metric nobody in his category measures by. Amos is building what he calls an autonomous business. It is formed on human-AI collaboration instead of human-to-human coordination.

The framing is the part founders miss. "People hear 'scale with intelligence' and think we're scaling with agents. No. The autonomous business scales each employee." Humans stay at the center, in what he calls their zone of genius. AI takes the mundane work outside it and amplifies what's inside. The headcount stays flat while the leverage per person climbs.

3. Build the category, not just the product

This is where Amos gets tactical, and where most founders should take notes. He's become one of the loudest founder voices on LinkedIn — he cites roughly 1.5 million monthly impressions and $1.20 of pipeline per impression — and none of it is an accident. "Startups are a go-big-or-go-home game. If you aim for mediocrity, everything gets harder. If you aim big, everything gets easier down the line."

His category-creation rules, in his words:

  • It's not about your product, it's about the buyer and the transformation you're taking them through. "You see the world through a unique lens no one else is seeing but everyone is feeling. Your ICP feels it and can't articulate it. You can."
  • The category already exists before you name it. He borrows this from HubSpot's Brian Halligan: inbound existed in the ether before HubSpot put a word to it. "Claim it, frame it, name it. That's all you need." You can't force a category that isn't already latent in the market.
  • Lead with emotion. The whole AI market was selling fear and job displacement. Amos read the room and saw that buyers were thirsty for the opposite. So he sold hope instead.
  • Challenge the challenger, not just the status quo. "Everyone's preaching AI employees. That's not the way. It's about scaling your employees." The second he said it, he stopped adding to the noise and started rising above it.
  • Skip the villain. Category-creation orthodoxy says you need one. Amos noticed everybody had a villain, which made having a villain its own sea of sameness. So his enemy became negativity itself. "We're here to make you feel good." The day he landed on that, the marketing got simple.

4. You are the niche

This is the line Amos repeats to himself, and it's the one I keep thinking about. "The old way is to think of your ICP and manufacture a niche for them. That doesn't hold water anymore. You are the niche."

For Swan, the niche was his own chip on the shoulder and the grudge against the unicorn model he'd lived through twice. "I didn't follow what the audience wanted. I let out what was within me, and the audience loved that specific package." The innovation wasn't in the market research. It was in him.

The Proof

The proof showed up uninvited. Other founders on LinkedIn started running his "three people, $30 million" line as their own. One didn't even bother to rewrite it, just pasted his post and dropped in his own employees' names. Amos's first reaction wasn't flattery. He was, in his words, "really pissed."

Then it clicked. "I started that journey wanting to be like Adam Robinson. Now he's trying to be me."

That's what a market forming actually looks like. You can't build one by yourself. One company is a footnote. Six is a category, and the people circling your positioning are usually the surest sign you got there first. Amos isn't trying to win a feature comparison against anyone. He just wants to be the one everybody's copying. Right now he is.

Amos writes The Big Shift on building the first autonomous business. Find him on LinkedIn, or go argue with his digital twin, "The Autonomous," in the GPT store.