Nicole Patten is the founder of Elevate Online and Claude Training, businesses helping founders, teams, and enterprises actually adopt Claude rather than simply pay for it. A former Senior UX Engineer at Google, she left in 2025 to focus full time on Claude adoption, and now runs her consultancy solo, with zero employees, generating over $30,000 a month. Her client roster includes multi-billion dollar teams alongside fast-scaling AI studios, and her recent Claude Code hackathon at NY Tech Week drew over 100 attendees.

AGENDA:

- 00:00:30 - Meet Nicole Patten, Ex-Google UX Engineer

- 00:03:22 - Where Are We on the Claude Adoption Curve?

- 00:05:22 - The #1 Misunderstanding About Claude

- 00:06:05 - Claude AI vs Cowork vs Code, Explained

- 00:07:00 - Where Non-Technical Founders Should Draw the Line

- 00:07:54 - Running a $30K/Month Business Fully on Claude

- 00:09:35 - Agents, Skills, MCPs, and Directives, Decoded

- 00:11:47 - Skills vs Agents: Where Should Beginners Start?

- 00:13:28 - Human in the Loop vs Full Automation

- 00:14:26 - Enterprise Teams vs Solopreneurs, Same Claude Playbook

- 00:15:37 - Why Every Employee Needs the Same Claude Skills

- 00:16:32 - Why AI-Native Companies Will Outrun Everyone Else

- 00:18:03 - Inside the NYC Tech Week Hackathon Project

- 00:21:38 - The 60-Day Playbook for Company-Wide AI Rollouts

- 00:22:52 - What Actually Proves Your Team Adopted AI

- 00:23:44 - Where to Learn More and Final Advice

Fabrice Haiat serves as CEO and Co-Founder of YOOBIC, the AI-powered platform helping frontline and deskless teams in retail, hospitality, and logistics communicate, train, and execute. YOOBIC has raised a total of $80 million in funding, including a $50 million Series C round in 2021, and is used by more than 350 global brands, including Ralph Lauren, Levi's, and Puma, to support over 3 million frontline employees worldwide. The company's investors include Highland Europe, Insight Partners, and Felix Capital.

AGENDA:

• 00:01:04 - Who is Fabrice Ayat? Building Yoobic from Scratch
• 00:09:52 - How Yoobic Was Started and the Problem It Solves
• 00:12:45 - How to Find a Real Customer Pain Point
• 00:15:40 - How to Get Your First B2B Customers
• 00:18:50 - Enterprise Sales Tips: How to Sell to Large Companies
• 00:21:22 - Enterprise Security, Compliance & Winning Customer Trust
• 00:24:32 - How Yoobic Scaled Sales and Marketing Globally
• 00:27:37 - Best AI Tools Every Startup Should Be Using
• 00:30:17 - How AI Is Changing the Way Companies Work
• 00:32:56 - The Future of AI User Interfaces
• 00:34:36 - AI Agents: The Next Big Business Opportunity
• 00:36:38 - Scaling a Startup Team Without Losing Focus
• 00:38:29 - When Should a Startup Expand to the US?
• 00:41:58 - How and When to Raise Venture Capital
• 00:44:42 - The Future of AI, Robotics & Automation
• 00:45:38 - Entrepreneur Habits That Built a Billion-Dollar Company
• 00:48:37 - Biggest Startup Mistakes and Lessons Every Founder Should Know

Philippe Mizrahi is the CEO and Co-Founder of Linkup, a Paris-based startup building the web search layer for the AI era. Previously a Group Product Manager at Lyft, Mizrahi co-founded Linkup in 2024 alongside Denis Charrier, whose prior company Niland — one of Europe's first vector search engines — was acquired by Spotify, and Boris Toledano (ex-McKinsey). The company has raised over $10M in funding, including a seed round led by Gradient, and is backed by Seedcamp, Motier Ventures, and angel investors including founders from Mistral, Datadog, and Deel. Linkup's API powers AI agents at enterprise clients including KPMG, and holds state-of-the-art results on OpenAI's SimpleQA benchmark.

AGENDA:

• 00:00:55 - Phil Mizrahi and the bet that became Linkup

• 00:04:07 - Why Linkup's original vision was wrong

• 00:07:00 - The MVP mistake most founders never catch

• 00:10:05 - Fundraise or bootstrap: what Linkup chose and why

• 00:13:08 - What Phil looks for in a founding team

• 00:15:50 - Why Linkup wins in a crowded AI market

• 00:19:07 - How Linkup got its first customers

• 00:21:55 - The market bet Linkup is building toward

• 00:36:22 - The pricing psychology behind Linkup's strategy

• 00:39:05 - Why most startups target the wrong customer

• 00:42:07 - The growth loop that scaled Linkup

• 00:44:40 - Running a global team before you're ready

• 00:46:45 - What separates founders who execute from those who don't

• 00:50:09 - What most founders still get wrong about AI

• 00:53:25 - How AI rewrites the zero-to-one playbook

• 00:56:36 - What Phil tells every early-stage founder

Most founders using AI today are building the same thing.

Same prompts. Same outputs. Same products.

So the real question isn't "How do I use AI?"

It's "How do I stay differentiated when everyone has access to the same models?"

This week on Zero to One, we sat down with Olivier Toubia, professor at Columbia Business School and a leading researcher on AI, innovation, and entrepreneurship.

💡 Some of the themes we explored:

🎙️ AI increases productivity, not differentiation

🎙️ Your unique context is the moat

🎙️ The bottleneck has shifted to execution and distribution

🎙️ Human judgment matters more than ever

🎙️ AI is a tool, not the strategy

This episode is worth your time if you’re building in AI and trying to figure out what actually creates a MOAT in the next generation of startups. 🚀

Most AI startups die before they even ship.

Worse: they spend months building the wrong thing.

This week on Zero to One, Ankur Patel (Multimodal / AgentFlow) dropped some of the clearest, most brutal (and useful) advice we’ve heard for anyone trying to go from zero to one in enterprise AI. 💡

5 hard truths for builders:

1. Speed is your only moat Foundation models evolve weekly. If you’re not shipping fast, you’re irrelevant. Velocity beats architecture, funding, and cleverness.
2. Pick your wedge and obsess Startups that try to be a platform from day one don’t make it. Start wide → feel for the pull → double down on 1–3 use cases people will pay for.
3. Trust is more important than tech Enterprises won’t deploy agents that feel like black boxes. You need: traceability, sandbox validation, human-in-the-loop checks, clear ROI. No trust = no production.
4. Being an outsider is an edge If you’re young and don’t know the rules of the industry, good. You’ll move faster and see opportunities incumbents overlook.
5. Failure is leverage now Failing at a startup doesn’t hurt your career anymore, it accelerates it. You’ll either win or become 10x more valuable.

This episode is worth your time if you’re building in AI and trying to get real traction.

What’s your biggest blocker going from zero to one? Drop it in the comments.

#startups #AI #founders #zerotoone #enterpriseAI #agenticAI #podcast

🚨 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