🚨 What if your business school was built by the founder of YouTube?

Or Waze. Or Shazam.

🎙️ Meet Roy Wellner, cofounder of Augment, the online business school delivering premium courses taught by world-class operators. Augment is rethinking what modern education should actually look like.

🔍 In this episode, we dive into:

👉 Why classic MBA programs aren’t built for founders

👉 The OpenAI insight that made AI literacy a non-negotiable part of Augment

👉 How Augment built a curriculum where students actually finish

👉 Why Roy believes your distribution strategy matters more than your product

💡 Plus: Roy’s reflections on full dedication, raising $2M with just a deck, and building something he wishes he had as a student

Started Papa to care for my grandfather. Today: 7,000 cities, $240M raised.

🎧 On this week’s Zero to One, we sit down with Andrew Parker, Founder & CEO of Papa. It started with a Facebook post and grew into a national care-tech platform trusted by the largest health plans in America, built on grit, scrappiness, and a healthy disregard for startup orthodoxy.

👉 A must-listen for anyone building in healthcare, tech-enabled services, or marketplaces.

🔥 How Papa works and how it got here:

→ A tech-enabled human touch delivering real health outcomes

→ 300k+ trained companions (“Pals”) supporting seniors nationwide

→ An outcome engine tracking impact beyond visits

→ Took the opposite of YC advice, built a “fake” product first

→ Scaled a unicorn from Miami

🎙️ In this episode:

* Why you should start with service before building tech

* How Andrew landed national partnerships before product-market fit

* The surprising TikTok virality that crashed their hiring system

* Why AI is a tool and not a strategy for solving real problems

💡 Plus:
The “resolution ladder” framework for internal decision-making, and the one underrated tactic that helped Papa scale.

$30M ARR. 0 employees. Just 3 founders… and a swarm of AI agents.

Sounds like sci-fi? Meet Amos Bar-Joseph, CEO of Swan AI — and the architect of the most radical GTM model we've seen in years.

🎙️ On the latest Zero to One podcast, Amos breaks down how Swan:

→ Is Scaling to $30M+ ARR with zero headcount

→ Runs 30+ intelligent agents directly inside Slack

→ Converts LinkedIn impressions into pipeline with surgical precision

Forget headcount scaling.

Amos is pioneering “constraint-first growth”: only 3 founders, no hires — every repetitive task goes to an agent.

And it’s working. Swan now serves 50+ B2B clients (Guru, Yotpo...) with no paid ads.

What we cover in the episode:

• How Amos designed his first agent — and what it did

• Why content isn’t a brand play, it’s a pipeline engine

• The architecture behind an autonomous business OS

• What the “100× seller” model actually looks like in the wild

• The tough question: can this scale to 10×… or crack under complexity?

If you’re a founder, GTM leader, or just AI-curious — this one is unmissable.

👇 Listen, take notes, and tell us:

Would YOU trust AI agents to run your GTM?

#AI #Startups #GTM #Sales #ZeroToOne #SwanAI #B2B #Growth #LinkedInGrowth #FutureOfWork #Podcast

From hacking servers at 13 to building the world’s most powerful AI sales agent.

Anis Bennaceur is the cofounder & co-CEO of Attention — the AI-powered platform transforming sales conversations into growth engines.

We sat down with Anis on Zero to One to unpack his journey from early Tinder to Mixer to leading Attention, now trusted by 200+ companies.

🎙️ What we cover in this episode:

🧠 Why automating unstructured data changed everything

📈 How Attention boosts conversion and forecast accuracy for sales teams

🤖 What GPT-3 unlocked for sales automation in 2020

💥 The Ahah moment that shaped Attention’s product

💡 How to find a startup idea in boring industries and broken workflows

💬 Why founders must talk to users — and set daily meeting quotas

🧪 A tactical framework to test startup pain points: frequency × effort × cost to business

💡 Plus:

Why some spaces are growth arbitrage traps — and how Anis chose long-term defensibility over short-term hacks.

🎧 LISTEN TO THE EPISODE ON EVERY PLATFORM

https://youtu.be/l6JarW21qqA?si=v3twrXFh4aZlQdXx

🚨 The B2B marketplace you’ve never heard of — solving fashion’s $500B problem.

Josh Kaplan went from fashion founder to reinventing how brands offload excess inventory.

Today, he’s co-CEO of Ghost, one of LA’s fastest-growing startups — and the secret backend for how brands like Levi’s, Vans, and Express manage their surplus stock. 🛍️📦

🎙️ We sat down with Josh to break down how he’s digitizing one of the last analog industries — and why tech adoption in fashion is way harder than it looks.

🔍 What you’ll learn in this episode:

🧵 How COVID exposed critical cracks in the global supply chain — and led to Ghost

🦄 Why you should always pitch for Partners and not for Funds

📉 Why excess inventory is fashion’s most ignored profit leak

🗽 The playbook Josh used to get a student startup on a Times Square billboard

📬 How to cold email as a student and get Fortune 500 execs to respond

🔁 Lessons from building both sides of a two-sided marketplace — twice

🚀 What most founders get wrong about B2B marketplaces

💡 Plus:

The founder mindset of "always building" — and why Josh plans to launch again even after a big exit.

🔁 Repost if it made you think. This one’s for the builders.

Josh Kaplan Matteo Jonathan Gary Rouch

This might be the most insane AI founder story you’ll hear all year.

Dropped out of high school.

Met the Queen of England. 👑

Helped pivot Instabase by building a transformer before it was cool.

Now? He’s building a foundation model for the human mind — and raised from a16z, Menlo, and Benchmark.

🎙️ We sat down with Daniel Reid Cahn, cofounder & CEO of Slingshot AI, to unpack how he’s using AI to reinvent mental health — without replacing human therapists.

🔍 What we cover:

• Why the future of therapy isn’t GPT wrappers — it's foundation models for psychology
• How Daniel raised millions pre-PMF from top-tier VCs
• Why LLMs are perfectly suited (and dangerously close) to handling our deepest thoughts
• What it really takes to hire top-tier AI and psych talent
• Building a bi-continental company across the US & UK from Day 1
• Why AI therapy could compete with psychedelics — and what keeps Daniel up at night
• The truth about defensibility in AI today: data, distribution… or something else?

💡 Plus:

His founder playbook, ethical design principles, investor tactics, and what he’d do if launching from scratch today.

This is not your average AI story.

It’s raw, smart, and brutally honest.

🎧 Listen now

🔁 Repost if it makes you think. Trust me — this one will.

This week on Zero to One, we sat down with Arjun Mahadevan, founder & CEO of Doola.

Arjun’s goal? Help 1 billion people become founders with a business-in-a-box: back office and e-commerce analytics handled in one place.

Here’s what you’ll take away from the episode:

🛠 Start by serving just one customer to validate real demand

📖 Build in public—not to influence, but to help

❌ The people at the top? They’ve failed more, not less

📩 How a cold DM on Twitter led to their first paying customer

💼 Why you should treat every lead like it’s your last

🌍 What legal entity should you open for your US-based company depending on your funding strategy

👥 How every founder should delegate

🤝 What is Growth and the tactics that actually work

If you’re starting a business or scaling one globally, this episode is for you !

Have fun listening :)

This week, we sat down with Bernard Aceituno, co-founder & CEO of Stack AI.

Originally from Venezuela, Bernard’s journey took him from a PhD at MIT to building Stack AI, fresh out of Y Combinator. We covered a lot, including:

✅ How Stack AI is revolutionizing AI agents—connecting data sources & tools securely

✅ The real value of YC beyond the hype (including how their first customers came from a YC WhatsApp group)

✅ The role of AI agents as a new software category—automating tasks, interacting with tools, and storing memory

✅ How operationally heavy industries (banks, logistics, healthcare) benefit most from AI automation

✅ Stack AI’s go-to-market strategy—leveraging content, inbound leads, and pilot projects to scale

✅ Why raising money is a distraction and shouldn't take more than two weeks

If you’re building in AI—or thinking about it—this one’s a must-listen.

Key moments:

Introduction (1m13)

YC / Start of the story (8m07)

Vision with Stack AI + AI agent definition + how they integrate into (18m50)

How companies figure out their best use cases with Stack AI, and managing data privacy (23m40)

Data privacy with StackAI (27m12)

Targeting industries - horizontal VS vertical and selling (29m55)

Mistakes made with StackAi (36m37)

Stack AI internal growth (40m35)

The future of the AI space among startups + raising money (44m55)

Resources Bernardo recommended: The hard things about hard things (Ben Horowitz)