Founders in Arms

Marco Zapacosta is the co-founder and CEO of Thumbtack, the home services marketplace connecting homeowners with local pros for everything from plumbing to renovation. Started three weeks before Lehman Brothers collapsed in 2008, Thumbtack has grown to over $500M in annual run rate across 17 years of building.
What you'll learn:
Why Marco believes Thumbtack is still pre-product market fit at $500M in revenue
How AI is shifting Thumbtack from a search engine to a matchmaker
Why word of mouth is still the biggest competitor to every home services marketplace — and how AI finally evens the score
Why convenience doesn't win when someone's spending $1,000 and entering your home
Marco's take on practitioners vs. projectors — and why he doesn't trust most AI predictions
Why AI agents won't disintermediate high-trust marketplaces
How Thumbtack's operating model evolved from Google to Facebook to their own matrix structure
What's kept Marco going for 17 years — and why he scores zero on neuroticism
Why Marco wants to stay private a little longer before an inevitable IPO
Why AI applied to robotics is overhyped and synthetic biology is massively underrated

In this episode, we cover:
(00:00) AI as substitute vs. complement — the flaw in our collective thinking
(01:00) Introduction to Marco Zapacosta
(02:12) Practitioners vs. projectors on AI
(04:14) Real anxiety about AI job loss — engineers at birthday parties
(07:21) Why Marco doesn't trust Block's layoff messaging
(09:46) How AI is a massive accelerant for Thumbtack
(10:02) Why home services is still pre-product market fit at $500M
(11:02) Word of mouth is Thumbtack's biggest competitor
(12:40) Will AI agents disintermediate marketplaces?
(15:17) Why choice still matters in high-trust purchases
(17:34) Why humans still want to read reviews themselves
(19:15) Thumbtack's origin story — starting 3 weeks before Lehman collapsed
(23:16) What's kept Marco going for 17 years
(24:42) Entrepreneur parents and raising entrepreneurial kids
(30:20) How Marco runs the company — the matrix model explained
(35:25) Four co-founders: how responsibilities divided over time
(37:02) Is Thumbtack going public?
(39:33) The real downsides of being a public company
(45:21) Rapid fire: who inspires Marco, what's overhyped, what's underhyped
(47:12) The hardest part of leadership is self-awareness, not skills
(49:02) Why struggling early builds staying power

Noah Smith is a writer and Substack blogger behind Noahpinion, known for his contrarian, data-grounded takes on economics, technology, and geopolitics.
What you'll learn:
Why the viral Citrini "2028 Global Intelligence Crisis" post moved markets — and whether it should have
The psychology behind why "AI causes 2008" scared Wall Street more than killer robots
Why Noah thinks an AI-driven financial crisis is possible but unlikely
How a productivity boom could paradoxically trigger a mild recession through "sticky prices"
Why AI-enabled bioterrorism — not economic disruption — is Noah's biggest fear
What Block's 4,000-person layoff and Mercury's hiring shifts reveal about AI's real impact on jobs
Why software job losses in 2023-24 may have been driven by uncertainty, not AI capability
Noah's take on deflation, GDP growth, and where inflation goes from here
Why intellectual humility has been Noah's biggest edge as a forecaster
The "dinosaur and the meteor" theory — why we're worrying about the economy while a much bigger threat flies overhead

In this episode, we cover:
(00:00) The meteor meme — AI's real threat vs. the economy
(01:07) Introduction to Noah Smith
(02:14) What the Citrini post actually argued
(04:30) Why markets missed Covid — and what that tells us about AI
(06:17) Why Citrini moved markets: the power of pattern matching to 2008
(07:51) Breaking down Citrini's financial crisis domino theory
(08:38) Noah's verdict: possible but unlikely
(11:04) Block lays off 4,000 — how does AI-driven unemployment play out macro?
(17:42) How a productivity boom could cause a recession: sticky prices explained
(19:46) Noah's real AI fear: vibe-coded bioweapons
(24:55) Has bioterror surpassed China-Taiwan as Noah's top worry?
(25:10) The economy today: inflation, deflation, and GDP
(28:44) What Mercury's hiring strategy reveals about AI's effect on headcount
(31:32) Why software job losses in 2023-24 may have been forward-looking uncertainty
(34:38) The threat to blue collar jobs — are truck drivers next?
(35:52) Why intellectual humility is Noah's competitive edge
(39:26) The meteor meme closing: we created zombie gods for a 2.7% productivity boost

We're bringing back one of our most loved episode on Founders in Arms.
Parag Agrawal is the co-founder and CEO of Parallel, building infrastructure for the agentic web. Previously CEO of Twitter, Parag now leads a company architecting how AI agents will interact with the open web at orders of magnitude beyond current human scale. Two years after founding in stealth mode, Parallel recently announced a $100M Series B co-led by Kleiner Perkins and Index Ventures.
What you'll learn:
Why everything built for human web consumption will become irrelevant when agents become the primary users
How Parallel's APIs enable agents to search, fetch, and monitor the web with unprecedented scale and speed
The evolution from simple tool calls to autonomous sub-agents with real decision-making capability
Why the web must transition from "pull" (searching on demand) to "push" (alerting when conditions are met)
The new business models needed to compensate content creators in an agent-driven web
Parag's counterintuitive approach to fundraising: why VC rejections don't sting but customer rejections do
The rational game VCs play that founders misinterpret as genuine enthusiasm
Why Parag believes we're not in an AI bubble—but an overreaction is coming (and it'll be faster than dot-com)
How Parallel built quietly for a year before product-market fit arrived with the agent explosion
The operational philosophy of extreme in-person collaboration that shaped Parallel's early culture

In this episode, we cover:
(00:00) Introduction and Parallel's mission
(01:02) What Parallel's APIs enable for AI agents
(02:43) Practical examples: coding agents, sales automation, research
(04:57) The conviction bet on agents before the market existed
(10:54) New business models for content in the agentic web
(20:22) The $100M Series B fundraise and going public
(23:03) Why Parallel built in stealth with carefully chosen early customers
(24:55) Current scale and product offerings
(30:42) The evolution from tools to sub-agents to push-based web
(33:13) Are we in an AI bubble? Parag's nuanced perspective
(36:34) The mental models behind fundraising vs customer rejections
(38:37) Why VC enthusiasm is rational strategy, not signal
(45:37) Biggest career mistake: delaying Twitter's algorithmic timeline
(48:28) The compounding cost of six-month delays
(50:09) Finding inspiration in "re-founders" like Satya Nadella
(51:54) The most rewarding part: watching customers do unexpected things
(52:43) In-person culture and the transition to remote-friendly

Vishwas Prabhakara is the co-founder and CEO of Honey Homes, a subscription home maintenance service that's reimagining how Americans care for their homes. After spending four years at Yelp running the restaurant business, Vishwas saw firsthand why marketplaces fail for skilled home services—and built a contrarian solution. Now operating across San Francisco, LA, Chicago, Dallas, and Austin with 3,000+ members, Honey Homes creates quality jobs for skilled workers while delivering consistent, reliable home maintenance to homeowners.
What you'll learn:
Why the marketplace model fundamentally fails for skilled labor and home services
The counterintuitive insight behind every successful consumer business (the Airbnb lesson)
How Vishwas discovered workers were shocked that "nobody's yelled at me yet" after joining Honey Homes
Why solving both sides of the market—customer experience AND worker quality of life—is essential
The role of AI in leveling up service workers and automating operations without replacing humans
Why early compromises on hiring and standards compound into major problems later
The distribution challenge: getting consumers to prioritize chronic home maintenance needs
How altruism, not just incentives, drives consumer referrals and growth
Why companies like Yelp, Peloton, and Lyft deserve more respect for building culturally relevant businesses
The mental model shift required to sell subscription home services vs. one-time fixes

In this episode, we cover:
(00:00) Introduction and the respect successful companies deserve
(01:12) YC batch memories and feeling "late" to tech trends
(03:05) The genesis of Honey Homes and why Immad and Raj invested
(04:50) Growing up with a handy dad and discovering the home services gap
(06:30) The counterintuitive consumer insight behind Honey Homes
(07:03) "Nobody's yelled at me yet"—the worker experience problem
(08:11) Why marketplaces don't work for skilled home services
(09:48) Hiring only 1% of handyman applicants
(14:07) Building trust through consistent quality and W2 employment
(19:31) How altruism drives consumer referrals, not just incentives
(21:51) Getting AI-pilled at Vinod Khosla's CEO retreat
(23:01) Using AI to level up workers and automate operations
(27:54) Overcoming the mental model barrier for subscription home services
(30:07) The vision compromise lesson: don't settle on quality early
(31:44) The critical importance of distribution for consumer businesses
(32:26) Why partnerships aren't the answer (yet) for Honey Homes
(38:41) Defending Yelp, Peloton, and Lyft against Silicon Valley discourse
(42:18) Unit economics challenges in services businesses
(47:10) Role models: Jeremy Stoppelman and Ramit Sethi
(48:08) Hope that divisiveness is a passing trend
(49:35) The daily challenge of building before the world sees it
(51:04) Getting feedback about being "unpredictable" and staying in your head
(52:33) Bringing people along for the journey in your mind

What does it take to build a company in a category where everyone says the idea is dead? In this special live recording from Mercury's San Francisco office, Immad Akhund and Raj Suri sit down with Max Mullen, co-founder and former Chief Product Officer at Instacart, for an honest conversation about the founder journey.
Max shares how Instacart started in 2012 when there was no gig economy, no Uber X, and investors repeatedly told them grocery delivery was a dead idea after Webvan's failure. The conversation explores the controversial early days of building Instacart, why Max believes founder pain tolerance is the biggest moat, and the critical importance of market timing even when you're executing well.
Max opens up about the challenges of being a technical co-founder without deep technical skills, navigating co-founder dynamics, and the reality that many startup outcomes are heavily influenced by timing and luck. The discussion shifts to AI's transformative potential, with Max offering a compelling framework: software engineers are experiencing "the tip of the spear" of AI capabilities today, and this same 10x productivity leap will soon apply to lawyers, doctors, accountants, and every other profession.
He explores what AI-native companies will look like and why the next wave of startups will be built around professionals orchestrating fleets of agents. This episode offers essential insights for founders building in challenging markets, navigating co-founder relationships, timing market opportunities, and understanding where AI is creating the biggest opportunities for new companies.