The Product Podcast

Replit spent eight of its first ten years just searching for product-market fit. Then it 100x’d its revenue in a single year. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Amjad Masad, founder and CEO of Replit, to unpack how a decade of patience turned into one of the fastest growth stories in software, and why he thinks not knowing how to code is becoming an advantage.

What you’ll learn:
- Why the classic product-market-fit timeline was a SaaS-era myth, and what patience really takes
- The four long-term trends Amjad bet the company on: cloud, AI, mobile, and collaboration
- How Replit Agent (the first coding agent) was built right after a layoff, and why conviction held
- What 100x revenue in a year, 50M+ users, and a $9B valuation actually came from
- Why 75%+ of Replit users are non-engineers, and why not knowing how to code can be an advantage
- Why frontier models reward simple prompts, and why micromanaging the AI makes results worse
- How to keep oversight of parallel agents without falling back into micromanagement
- Why Amjad thinks “code,” not “chat,” is the real AI breakthrough for getting work done
- Why Replit went compute-maximalist with built-in code review and security to earn trust
- Why the future of building a company looks more like an open-source community
 
Guest: Amjad Masad, Founder and CEO, Replit
LinkedIn: https://www.linkedin.com/in/amjadmasad/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Replit: Replit is an AI-powered software creation platform where anyone can build, deploy, and run apps from the browser, powered by Replit Agent. It serves over 50 million users, from individual creators to enterprises and governments.

About the Product Podcast: Product School’s podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Mr. Beast makes YouTube videos the way most companies ship software: with product reviews before, retros after, and a daily build cycle. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Shiva (Chief Product and Technology Officer at Beast Industries) to unpack how a channel with 520M+ subscribers and 1.6B views in the last 90 days treats every video like a product launch, and how AI is now rewiring the whole operation.

Shiva has built products inside some of tech’s most iconic platforms (Google, Spotify, WeWork, Uber), but this role is fundamentally different: here the product is the output itself, not just the platform that enables it. He explains why that lets his team do something a platform never could, get deep into the actual workflow and change it, and why off-the-shelf enterprise SaaS kept falling short for a company that regularly attempts first-ever-in-the-world productions. So, about three months ago, they started building their own internal operating system instead, and now they ship every day.

He and Carlos get into the mechanics that make that possible: forward-deployed engineers embedded inside functions (the studio, marketing) who prototype solutions overnight and ship the next day, why it’s now so cheap to try ten versions of something and throw away the nine that don’t work, and how an issue spotted on set at midnight becomes a meeting that night, a vibe-coded prototype, and a live feature by morning. Shiva also reframes what AI really unlocks for product people: not just speed, but the superpower of exploration, the ability to build three variants instead of betting on one, which finally fixes the oldest failure mode in product (shipping what the founder wants instead of what users need). He shares how working with Jimmy (a creator who thinks like a product manager, breaking creative wins into analytical recipes) shapes the culture, how he builds an institutional memory layer so one person’s hard-won knowledge becomes available to everyone on day one, and how the business thinks about turning attention into revenue through a new consumer app, sponsorships, merch, and testing monetization differently across markets like the US and India.

What you’ll learn:
- Why MrBeast runs every video like a product launch, with reviews before and retros after
- What changes when the product is the output itself, not the platform behind it
- Why they ditched off-the-shelf SaaS and built their own internal operating system in three months
- How forward-deployed engineers prototype overnight and ship to the team the next day
- Why “try ten, keep one, throw away the rest” is now a viable way to build
- How AI gives product teams the superpower of exploration, not just speed
- Why founders so often ship products built for themselves, and how AI finally fixes that
- How to build an institutional memory layer so knowledge isn’t trapped in one person’s head
- What it’s like to work with Jimmy, a creator who thinks like a product manager
- How Beast Industries thinks about converting attention into revenue across global markets

Connect with Shiva:
Chief Product and Technology Officer, Beast Industries
LinkedIn: https://www.linkedin.com/in/shivar/

Host:
Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Beast Industries: Beast Industries is the company behind MrBeast, the world’s most-subscribed YouTube creator, spanning its flagship channels, a growing studio of new channels, and consumer products.

About the Product Podcast: Product School’s podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Deel found over $140 million in ARR through AI optimizations, work equivalent to 600 employees, now done by agents. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Aaron Goldsmid, SVP of Product at Deel, to unpack what that actually looks like in practice, and how a company goes from roughly $250 million to $1.5 billion in ARR across 150+ countries while staying profitable for nearly three years.

What you’ll learn:
- The story behind the stat: $140M in ARR and 600 people’s worth of work now handled by AI agents
- Why software was “the last artisanal craft,” and what changes when building gets cheap
- Why building is easy but maintaining is hard, and why the rewrite is now a real tech-debt strategy
- How Deel scaled from ~$250M to $1.5B ARR and stayed profitable for nearly three years
- Why growth and profitability aren’t opposite ends of a pendulum, and the “always do the math” discipline
- Why the signal a leader receives gets more filtered at scale, and how to fight it
- How every-two-weeks business reviews kill pairwise conversations and improve decisions
- How Aaron scales himself with a chief of staff, internal bots, and a semantic layer
- Why Deel’s real AI moat is compliance expertise and a global-work corpus, not the model
- Why no company is as sticky as it used to be, and why judgment is the ultimate differentiator

Connect with Aaron Goldsmid, SVP of Product, Deel
LinkedIn: linkedin.com/in/aarongoldsmid

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Deel: Deel is a global work platform that helps companies hire, pay, and manage teams anywhere, spanning payroll, employer of record (EOR), compliance, and contractor management across 150+ countries.

About the Product Podcast: Product School’s podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

HP is best known for hardware and printers. Faisal Masud is turning it into a software and AI company, and he thinks the era of stacked management layers is ending. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Faisal Masud, SVP and President of Worldwide Digital Services at HP, for a candid conversation about building enterprise AI, and what it does to how companies are actually run.

Faisal has a rare vantage point: two decades across Amazon, eBay, Groupon, and Alphabet's Wing (the drone delivery moonshot, where he was COO), then CEO of the $1.5B commerce platform fabric, and now running all of HP's commercial software business. He explains why a hardware giant deliberately built a standalone software unit, how the thesis (collect telemetry from HP's devices, turn it into insights that serve customers) became the Workforce Experience Platform, and why HP stopped reselling third-party software to sell its own owned-IP products instead.

The heart of the conversation is what AI is doing to organizations. Faisal argues that AI is demonstrably making extra layers of management unnecessary, because the monitoring, data collection, and aggregation those layers existed to do can now be handled by individuals and agents. His provocative framing: the future "manager" is managing agents, not people, and managers will have to know far more than just how to manage. He's equally blunt about the hype, AI is part of your strategy, not your strategy, adoption metrics alone prove nothing, and "everything is easier with AI until you go to production, which is a whole different ball game," where token budgets and real ROI bite. He also gives a working leader's read on the competitive landscape (OpenAI on the frontier, Amazon's moat, Microsoft Copilot's gains) and how his own PMs and developers use Claude, Codex, and Cloud Code every day.

What you'll learn:

• Why AI is making additional layers of management unnecessary, and what replaces them
• The shift from managing people to managing agents, and why managers will need to know more
• Why a hardware company like HP built a standalone software and AI business
• How device- and OS-agnostic telemetry became the Workforce Experience Platform
• Why HP stopped reselling third-party software to sell owned-IP products
• Why "AI is part of your strategy, not your strategy," and why adoption metrics aren't enough
• The real wall: AI makes building easy until you hit production, budgets, and token limits
• How Faisal pushes PMs on what should be done with AI vs. what needs a human in the loop
• A working read on OpenAI, Amazon, and Microsoft Copilot in the enterprise
• What Faisal predicts for headcount and org structure in the mid-term

Connect with Faisal Masud: President, HP
LinkedIn: https://www.linkedin.com/in/faisal/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About HP Digital Services: HP's Digital Services division builds the commercial software HP sells into enterprises and channel partners, including the Workforce Experience Platform, which uses AI to anticipate and resolve employees' IT needs across a device- and OS-agnostic fleet.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Toast was built long before generative AI existed. So how do you weave AI agents into a platform that thousands of restaurants already run their business on, without breaking the thing that works? In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Maggie Crowley, VP of Product at Toast, to unpack what it actually takes to build AI into mature, pre-AI SaaS.

Maggie is a former Olympic speed skater (fifth at the 2006 Winter Olympics) turned product leader, with an MBA from Harvard and product roles across Drift, TripAdvisor, and Charlie Health before Toast. She was also a Product School contributor years ago, back in her Drift days, which is what makes this a fitting return. At Toast she leads product on Toast IQ, the company's AI layer for restaurant and retail operators. In this conversation, she and Carlos get into the genuinely hard parts: why the quality bar for building on an established platform is punishingly high, how her team actually shipped their first assistant (sitting in WhatsApp groups with real customers and turning it on for a few of them), and why you have to physically bring the AI to the user instead of assuming they'll discover it.

Maggie is refreshingly blunt that restaurant operators have zero tolerance for "AI for AI's sake." They don't care whether it's Anthropic, OpenAI, or an open-weight model under the hood; they only care whether you helped them run their business. She explains how the tight P&L of a restaurant forces real discipline about what's worth charging for, how Toast IQ Grow (an agent that drives demand and fills seats) became a breakthrough use case by slashing the cost of marketing work, and why she still manages a frontline team directly to stay close to how AI is changing the way products get built. The episode closes with a live demo of Toast IQ.

What you'll learn:
- How to build AI agents into a platform designed years before AI, without lowering the quality bar
- The scrappy build process: WhatsApp groups with customers and turning an assistant on for a few
- Why you have to bring the AI to the user, and why AI onboarding is an unsolved problem
- Why context (where the user is, what time, what role) is everything for an AI product
- Why restaurant operators have zero tolerance for "AI for AI's sake"
- How the tight P&L of a restaurant enforces discipline about what's worth building and charging for
- How Toast IQ Grow uses AI to cut the cost of marketing and drive real demand
- Why abstracting model choice (Anthropic vs. OpenAI vs. open weights) away from the user matters
- Why a product leader should keep a hand in how teams build, and manage close to the work
- A live look at Toast IQ answering real operator questions in plain language

Connect with Maggie Crowley:
VP of Product, Toast
LinkedIn: https://www.linkedin.com/in/maggie-crowley-42a97112/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Toast: Toast is an all-in-one platform built for restaurants and retail, spanning point of sale, payments, operations, and marketing, now including Toast IQ, its AI layer for operators.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Most apps optimize for time on screen. Hinge optimizes for you leaving. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Ben Celebicic, Chief Product and Technology Officer at Hinge, the dating app "designed to be deleted," to unpack how you build a product whose North Star is great dates, not engagement, and still chase a billion dollars in revenue.

Ben has been at Hinge for 11 years, since the 2015 relaunch, and recently became one of a growing number of leaders to hold both the product and technology mandate in a single CPTO role. He and Carlos get into the healthy tension between the CPO instinct (ship fast, innovate) and the CTO instinct (protect quality and infrastructure), and how he now runs that debate inside one person and across a team of nearly 300. He lays out Hinge's monetization philosophy in two principles: build the free experience so everyone can succeed, and only charge for things you can't give away free without breaking the ecosystem (which is why fewer than 15% of users pay). He explains how a dedicated culture and consumer insights team studies real daters to find core needs, how generative AI now enables per-user profile coaching that was impossible before, why trust and safety makes up roughly a third of the entire Hinge organization, and where he draws the line on AI-assisted engineering today. He closes on Hinge's mission to reach $1 billion in revenue in 2027.

What you'll learn:
- Why "designed to be deleted" is a real product principle, and how an anti-engagement North Star works
- How to run the CPO-vs-CTO tension, even when both roles live in one person
- Hinge's two-principle monetization model, and why fewer than 15% of users pay by design
- Why you should only charge for things that would break the ecosystem if they were free
- How a culture and consumer insights team turns real dater problems into features
- How generative AI enables personalized profile coaching that wasn't possible before
- Why trust and safety is about a third of the whole org, and how AI powers it
- Where an engineering-background leader draws the line on AI-built product today
- The mission to hit $1B in revenue in 2027, and the "obsess over user needs" formula behind it

Connect with Ben Celebicic: CPTO, Hinge
LinkedIn: https://www.linkedin.com/company/lrb-podcasts/about/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Hinge: Hinge is the dating app "designed to be deleted," built to help people get off the app and out on great dates. Founded by Justin McLeod and relaunched in 2015, Hinge is part of Match Group's portfolio of dating and social discovery apps.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

One month before Bolt exploded, Eric Simons was preparing to wind the company down. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Eric Simons, CEO of Bolt, to tell the story behind one of the fastest revenue ramps software has ever seen, and what he learned building toward it for seven years first.

Eric is a high-school dropout who approaches life from first principles and treats endurance sports as training for the pain of building a company. He and Carlos trace the near-death moment (a board meeting set to start spinning the company down was one month away), the bet on WebContainers (an operating system Eric's team wrote to run in WebAssembly inside the browser, so you can build real full-stack apps from a browser tab, the way Figma brought design to the web), and the ramp that followed: zero to about $5M ARR in the first 30 days, then to roughly $20M ARR within two months, a curve that normally takes companies years. He explains why StackBlitz is now going deep on professional builders (PMs, designers, engineers), how Bolt is solving the hard part of turning AI-generated prototypes into production code your engineering team will actually sign off on, and why he frames the market like the ChatGPT-vs-Anthropic split: pick a specific ICP and workflow instead of spraying money at everything. He closes on the open-weights bet (StackBlitz was the earliest backer of Vite), aggressive usage-based pricing, and why cheaper open models are closing the last bit of distance to the labs.

What you'll learn:
- The near-death story: one month from shutting down, then a record revenue ramp
- Why the WebContainer bet (a real OS running in the browser) took seven years and made Bolt possible
- What a 0-to-$20M-ARR-in-two-months curve actually looks like, and why it's so rare
- Why StackBlitz is focusing on professional product builders, not just cute prototypes
- How to turn an AI prototype into production code your engineering team signs off on
- The "ChatGPT vs. Anthropic" framing: why going deep on one ICP beats spraying money everywhere
- Why first-principles thinking and endurance sport shape how Eric builds
- The open-weights bet, aggressive usage-based pricing, and open models catching up to the labs

Connect with Eric Simons, CEO, Bolt
LinkedIn: https://www.linkedin.com/in/eric-simons-a464a664/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Bolt / StackBlitz: StackBlitz is the company behind Bolt (bolt.new), an AI-powered web development platform that lets anyone build real full-stack applications from a browser tab, powered by its in-browser WebContainer operating system. StackBlitz was also the earliest backer of the open-source Vite project.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

What do you do after you've founded a company, sold it to Databricks, and could coast? Amandeep Khurana went back to being hands-on. In this episode of The Product Podcast, Carlos Gonzalez de Villaumbrosia (CEO at Product School) talks with Amandeep Khurana, now on Anthropic's go-to-market team, about a career built on deliberately choosing the harder path.

Amandeep traces the whole arc: training as an engineer, moving to the Valley to go customer-facing at Cloudera, catching the company-building bug "by osmosis," and founding Okera in 2016, which eventually exited to Databricks. He talks about what he learned in the ups and downs of running a startup, why he later joined AWS as a founding PM (on Kiro) to run four zero-to-one initiatives instead of taking a comfortable management track, and how he thinks about the two fundamental jobs in any company: building a product and selling a product. He and Carlos dig into the tension between being a hands-on builder and being a manager, how to decide which domains are worth jumping into when you know nothing, and why he joined Anthropic to work on bringing AI safely to enterprises. It's a candid conversation about career design, first-principles decision-making, and staying close to the work.

What you'll learn:
- Why Amandeep repeatedly chooses the "harder path," and how first-principles thinking drives his career decisions
- What founding and exiting Okera (to Databricks) actually taught him about company building
- Why he went back to hands-on building instead of a pure management track
- How to think about the two core jobs in any company: building the product and selling it
- How to decide whether to jump into a domain you know nothing about
- What running four zero-to-one initiatives inside a big company teaches you
- Why he moved into GTM and enterprise AI adoption at Anthropic
- How to stay hands-on as your career pulls you toward management

Connect with Amandeep Khurana:
Anthropic (GTM / Enterprise); previously co-founder and CEO of Okera, founding PM for Kiro at AWS
LinkedIn: https://www.linkedin.com/in/amansk/

Host: Carlos Gonzalez de Villaumbrosia, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Visual collaboration is missing from the AI era. That's the provocation Elaina O'Mahoney, Chief Product Officer at Mural, brings to this episode of The Product Podcast with Carlos (CEO at Product School). We spend all day alone in our tools, typing or talking to an LLM, and when it's time to collaborate we drop words into a doc instead of thinking together visually. Elaina makes the case that AI has quietly turned work into "solo-player mode," and that the teams who win next will be the ones who rebuild shared context and multiplayer collaboration on top of it.

Elaina and Carlos get into why ideas are now cheap (you can go from a thought to a working prototype in hours) and why that makes shared context, not idea generation, the real bottleneck. She argues that everyone is a designer at heart, that product leaders should replace the five-page strategy doc with a fast prototype that conveys the North Star, and that "shipping" can mean a workflow or an agent, not just a production release. They also dig into the crowded "where work happens" landscape (Slack, Teams, Jira, Linear, Notion) and the blank-canvas gap around how and why decisions actually get made, how to create safe spaces for people to try AI and fail inside large enterprises, and the pricing tension between legacy seat-based SaaS and AI-native usage models.

What you'll learn:
- Why Elaina says visual collaboration is "absent" in the AI era, and why that matters
- The "solo-player mode" problem: how AI made work lonely, and what multiplayer should look like
- Why ideas are now cheap, and how that shifts the bottleneck to shared context and faster decisions
- Why the real blank space isn't planning or chat, but how and why decisions get made
- The case that everyone is a designer, and how visual thinking speeds up decisions
- How a CPO ships to demo a direction (a prototype instead of a strategy doc)
- What's still scarce in an AI world: data science, taste, and synthesizing analytics
- How to create safe, low-risk spaces for teams to try AI and fail inside big enterprises
- Why smaller "champion" teams beat top-down rollouts, and how internal builders spread practices
- The pricing dilemma: seat-based SaaS vs. AI-native usage models

Chapters:
00:00 Intro
00:59 Intro: Elaina O'Mahoney, CPO at Mural
01:31 Mural's origin as a collaboration canvas
03:01 Multiplayer vs. AI's solo-player mode
04:23 Ideas are cheap now: idea to prototype in hours
05:44 The competitive landscape and convergence
08:31 The blank space nobody owns: how decisions get made
09:22 Lowering the bar so everyone can design
11:33 Everybody should be shipping now
12:25 Shipping to demo, not to production
14:04 Creating safe spaces to try AI in the enterprise
17:10 Forward-deployed engineers
19:14 Building a community around Mural
22:11 The pricing dilemma: SaaS vs. AI-native usage
24:07 Measuring real AI impact
26:19 How Elaina structures her team
28:20 The innovator's dilemma
30:03 From annual QBRs to monthly loops
31:05 Ten years of Mural, and a World Cup sign-off

Connect with the Guest:
Elaina O'Mahoney, Chief Product Officer, Mural
LinkedIn: https://www.linkedin.com/in/eomahoney/

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Mural: Mural is a visual collaboration platform built for teams to brainstorm, converge, and make decisions together on a shared canvas. Originally created by co-founders in Argentina, it scaled rapidly during the shift to remote work.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here

Two years ago, Square tore up its general-manager model and rebuilt the entire company around functional excellence. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Willem Avé, Global Head of Product at Square (part of Block), to unpack why they made that bet, what it costs, and how AI is now reshaping the org itself.

Willem started at Block as a CTO whose company was acquired, grew up through engineering, and has seen every era of the company from the little white card reader to today's multiple product ecosystems. He explains why orgs should be built around customer outcomes (and how quality degrades the further you drift from that principle), why hardware demands a different kind of craft than software, and how Jack Dorsey's thinking pushed them toward the idea of running Block like a "mini AGI company," where AI encodes institutional knowledge instead of red tape and process. Then he opens up a live demo of "manager bot," an agent that lets a small-business owner delegate real tasks (like an inventory workflow for a bakery) without worrying about memory, connectors, or prompts. He closes with a genuine hot take on TAM and what AI agents mean for the size of the market Square can serve.

What you'll learn:
- Why Square replaced general managers with a fully functionalized org, and what "functional excellence" buys you
- How to organize teams around customer outcomes, and why quality drops the further you drift
- Why hardware craft (approachable, reliable, "it just works") differs from software craft
- What it means to run a company like a "mini AGI," and how AI can encode knowledge instead of process
- Why the era of the simple question-answer chatbot is ending, and what replaces it
- A live look at "manager bot": delegating real business tasks to an agent
- Why small-business owners want outcomes, not memory, connectors, or prompt-craft
- Willem's hot take on TAM, and how agents expand who Square can serve
- Why economic empowerment and democratizing advanced technology is the throughline

Chapters:
00:00 Trailer
01:32 Inside Square and Block: how the teams are designed
03:34 The four orgs: audiences, platform, growth, money
04:46 Marrying hardware and software in one function
05:56 Finding leaders who understand both worlds
07:25 The DRI model and killing the silent veto
09:16 Can everyone report to one person?
11:12 Why flat orgs still need great managers
12:41 Building for people who are not on X every day
14:41 The loneliness of running a business
17:24 Demo: Manager Bot doing real work
20:19 Why AI should not create more work for sellers
22:13 Hot take: TAM is almost infinite
24:22 Killing the fragmented point solution stack
26:06 WhatsApp, Instagram, and the comms problem
27:54 Buzz and what nobody has solved yet
28:34 Closing

Connect with Willem Avé:
Global Head of Product, Square (Block)
LinkedIn: https://www.linkedin.com/in/willem-ave/

Host: Carlos, CEO at Product School:
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Square: Square, part of Block, builds payments hardware and software plus a broader ecosystem of tools that help sellers and small businesses run and grow. Block also includes Cash App and other brands.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

Social Links:

• Find out more about Product School here
• Follow our Podcast on TikTok here
• Follow Product School on LinkedIn here