Claude Code

Reid Hoffman, LinkedIn Founder: 99% of People Are Using AI Wrong

Jul 19, 2026 · 1:00:42

Reid Hoffman, LinkedIn co-founder, argues most people underutilize AI by treating it as a search engine rather than an agentic workforce, predicting a shift where humans become managers of AI agent teams. He explains that Blitzscaling today means using AI to rapidly build and discard prototypes, while distribution remains a critical moat for startups. Hoffman warns that negative AI perception in the US and Europe risks ceding leadership to Asia, which embraces the cognitive Industrial Revolution. He highlights the importance of taste and judgment as skills that AI amplifies rather than replaces, and contrasts Anthropic's enterprise focus with OpenAI's consumer strength. Drawing from his decade on Microsoft's board, he shares Satya Nadella's lessons on rebuilding culture, corporate partnerships, and treating AI agents as employees that work for the company. Hoffman also spotlights applications in drug discovery (Manus AI) and personalized AI to maintain human connections.

Replit's President & Head of AI | Michele Catasta

Jun 16, 2026 · 49:58

Replit's President Michele Catasta explains how the company evolved from a 15-year-old open source side project to powering 85% of Fortune 500 by launching the first vibe coding agent in 2024, before the term existed. He describes the initial rough launch that attracted candid feedback, the scramble to build an enterprise sales team when IT departments knocked, and the belief that the coding problem is nearly solved—shifting focus to integrations. Catasta argues that technical moats are less important than execution moats built from a decade of battle scars and user trust. He predicts 2026 will be the year of 'agent managers,' where every role involves managing multiple AI agents rather than single-threaded work. The Visa partnership exemplifies Replit's strategy of providing reliable building blocks for monetization, allowing vibe coders to add payments with a single prompt.

Inside Mercury's Founding Story | Co-Founder & CEO Immad Akhund

Jun 9, 2026 · 50:11

Immad Akhund, co-founder and CEO of Mercury, explains how the startup bank captured one in three U.S. startups by launching with product-market fit from day one—a million-dollar deposit arrived within four days from a stranger—and why legacy banks never stood a chance due to their focus on loans, expensive branch structures, and IT rather than engineering teams. Mercury raised $200M at a $5.2B valuation without needing the money, driven by 2.5x growth in Q1 2024 from AI-fueled entrepreneurship. Akhund details building trust as a moat, using small teams and Amazon's working-backwards process to launch AI features like Mercury Insights and Mercury Command, which let users run banking tasks inside AI tools. He dropped all one-on-ones after learning from Jensen Huang's 60 direct reports, favors optimistic curiosity, and angel-invests 250K checks in contrarian areas like space and deep tech.

Inside Gusto's Founding Story | Co-Founder & CTO Eddie Kim

Jun 6, 2026 · 54:31

Eddie Kim, co-founder and CTO of Gusto, reveals how the company grew from a 2012 YC startup called ZenPayroll to $1B in annual revenue and 500,000 customers by cracking the small business market against investor skepticism. He credits the 15-year co-founder relationship with Josh Reeves and Tomer London to shared values and radical directness, arguing that packaging feedback undermines trust. Kim describes building Gusto Co-Founder, an AI agent that automates back-office tasks via chat, with a team of five in eight weeks using Claude Code, embodying how the distinction between engineer and designer disappears. He calls the blank canvas problem AI's main barrier to mainstream adoption and predicts solopreneurs will thrive as AI enables anyone to become a builder.

The Harsh Truth About Building a Startup in the AI Era | Anish Acharya

Nov 23, 2025 · 51:12

Anish Acharya, General Partner at a16z, argues the AI era has reopened consumer tech's biggest window since mobile, with consumers paying $200–$250 monthly for products like Gemini Ultra and ChatGPT. He warns founders against traps like thinking they're too late, noting AI code and legal will become entire industries with dozens of winners. Voice AI is an enterprise insertion point where agents already outperform humans at negotiation, while the next social platform will revolve around software creation rather than content. He dismisses the AI wrapper risk because multi-model products and fine-tuned data give startups defensibility, and advises founders to raise 24-month rounds focused on product, not marketing. Acharya also predicts 2026 will bring new distribution channels via OpenAI's Apps SDK, Apple's mini apps, and group chat discovery.

How He Built This Full App Using ONLY 3 prompts | Colin Matthews

Oct 15, 2025 · 46:40

Colin Matthews, a vibe coding instructor, demonstrates how to build full-stack apps, convert Figma designs, and clone live websites using tools like Lovable, Bolt, Replit, Magic Patterns, and Alloy, arguing that the real challenge is distribution, not coding. He shows that bolt, Replit, and Lovable all generate similar results using the same underlying LLMs, with differences in UI and cost—Bolt costing about $5 for a virtual fitting room app. For Figma-to-code, Magic Patterns offers better code quality while Figma Make has superior visual fidelity but messy code. Website cloning via Chrome extensions like Alloy takes 5–10 minutes per page but currently lacks multi-page support. Matthews emphasizes that 90% of the work is easy, but the remaining 10% requires debugging skills, and advises aspiring builders to adopt a distribution-first approach—citing his own Wix extension that got 8,000 users with no marketing—rather than just focusing on product.

The Founding Story Of Zapier (Wade Foster)

Jul 24, 2025 · 51:33

Wade Foster, co-founder of Zapier, recounts the company's 2011 founding as an integration tool born from a forum thread and bootstrapped to scale without raising beyond $1.3 million. He explains how early growth came from answering forum posts with a prototype that converted at 50% despite being poorly designed, and how the company maintained a 'don't hire till it hurts' philosophy. Foster details the decision to avoid VC because customer acquisition costs were low and the business was profitable within a year, achieving breakeven with only tiny monthly losses. He shares two Paul Graham lessons from Y Combinator: focus only on writing code and talking to customers, and target 10% week-over-week growth, which the company sustained for years. On AI, Foster notes that AI is Zapier's fastest-growing category at nearly 300% year-over-year, and the company now offers agents built by non-technical users through natural-language workflows. He argues that seat-based pricing is dying and predicts a shift to usage-based models, while identifying the biggest AI opportunity in legacy industries like healthcare that work with unstructured data.