20VC: Scaling Zapier To $140M ARR and a $5Bn Valuation on $1.4M of Funding, What Founders Misunderstand About Fundraising & How Founders Should Think About Secondaries Today with Wade Foster, Founder & CEO @ Zapier

20VC: Scaling Zapier To $140M ARR and a $5Bn Valuation on $1.4M of Funding, What Founders Misunderstand About Fundraising & How Founders Should Think About Secondaries Today with Wade Foster, Founder & CEO @ Zapier

Wade Foster is the Co-Founder & CEO @ Zapier, the company that moves info between your web apps automatically, so you can focus on your most important work. Post YC in 2012, Wade raised $1.4M for the company from Bessemer and Threshold but since that round, he scaled the company to $140M in ARR and a $5Bn valuation with Sequoia and Steadfast buying out some early investors earlier this year.

In Today's Episode with Wade Foster You Will Learn:

1.) How Wade made his way from email marketing manager to founding one of YC's most successful alum in the form of Zapier? Does Wade agree with the "fake it till you make it theory"? How does Wade advise grads on starting a company vs joining a startup vs joining an incumbent?

2.) Remote Work: Zapier has been remote since 2012, what do Zapier do very specifically that Waade believes has enabled them to be so successful remote? What did not work? What were some of the biggest challenges of scaling the team remotely? In terms of tooling, what specific tools do Wade and Zapier use to make the org as transparent as possible?

3.) In the scaling journey, what have been the most significant breakpoints in the org scaling? How has Eade scaled his style of leadership? What has been the most challenging element to scale? How does Wade structure internal meetings? Who is invited to what? What materials are shared? How are the meetings structured?

4.) Why did Wade decide not to take the venture path and scale the company from revenues? What does Wade believe so many founders misunderstand when it comes to fundraising? What does Wade believe they gained from the bootstrapped approach? Why did Wade still maintain relationships with VCs? How did he choose those he wanted to stay in touch with?

5.) How does Wade feel about his relationship to money? What does Wade think about the rise of secondaries? In what framework does Wade advise founders who have the chance to take secondaries? What is the right amount to take off the table? How does one communicate this?

Item's Mentioned In Today's Episode with Wade Foster

Wade's Favourite Book: Harry Potter

As always you can follow Harry and The Twenty Minute VC on Twitter here!

Jaksot(1389)

20VC: Sequoia's Leadership Transition | Michael Burry Shorts NVIDIA and Palantir | Gamma Raises $100M at $2BN | Has Defensibility Died in a World of AI | Datadog Surges as Duolingo Plummets: What is Happening

20VC: Sequoia's Leadership Transition | Michael Burry Shorts NVIDIA and Palantir | Gamma Raises $100M at $2BN | Has Defensibility Died in a World of AI | Datadog Surges as Duolingo Plummets: What is Happening

AGENDA: 04:22 Sequoia's Leadership Transition 09:46 Michael Burry's Big Short on Nvidia and Palantir 17:41 Gamma Raises $100M at a $2BN Valuation 32:34 Does Defensibility Exist Today When Copying is Easy 40:31 Should All Funds Be Way More Diversified 47:12 How to Run a Fundraising Process & What Not To Do 57:57 Datadog Surges 20% and Duolingo Crashes: What Happened

13 Marras 1h 15min

20VC: Benchmark's Newest General Partner Ev Randle on Why Margins Matter Less in AI | Why Mega Funds Will Not Produce Good Returns | OpenAI vs Anthropic: What Happens and Who Wins Coding | Investing Lessons from Peter Thiel and Mamoon Hamid

20VC: Benchmark's Newest General Partner Ev Randle on Why Margins Matter Less in AI | Why Mega Funds Will Not Produce Good Returns | OpenAI vs Anthropic: What Happens and Who Wins Coding | Investing Lessons from Peter Thiel and Mamoon Hamid

Ev Randle is a General Partner @ Benchmark, one of the best funds in venture capital. In their latest fund, they have Mercor ($10BN valuation), Sierra ($10BN valuation), Firework ($4BN valuation), Legora ($2Bn valuation) and Langchain ($1.4Bn valuation). To put this in multiples on invested capital, that is a 60x, two 30x and two 20x. Before Benchmark, Ev was a Partner @ Kleiner Perkins and before Kleiner, Ev was an investor at Founders Fund and Bond.  AGENDA: 05:25 Biggest Investing Lessons from Peter Thiel, Mary Meeker and Mamoon Hamid 14:36 OpenAI Will Be a $TRN Company & OpenAI or Anthropic: Who Wins Coding? 22:27 Why We Should Not Focus on Margin But Gross Dollar Per Customer 30:25 Why AI Labs are the Biggest Threat to AI App Companies 44:26 Do Benchmark Fire Founders? If so… Truly the Best Partner? 54:38 People, Product, Market: Rank 1-3 and Why? 57:36 Why the Mega Funds Have Just Replaced Tiger 01:04:08 GC, Lightspeed and a16z Cannot Do 5x on Their Funds…  01:14:09 Single Biggest Threat to Benchmark

10 Marras 1h 25min

20Sales: Why You Need a CRO Pre-Product | Why Remote Sales Teams Do Not Work | How Snowflake Built a Sales Machine with Chad Peets

20Sales: Why You Need a CRO Pre-Product | Why Remote Sales Teams Do Not Work | How Snowflake Built a Sales Machine with Chad Peets

Chad Peets is one of the greatest sales leaders and recruiters of the last 25 years. From 2018 to 2023, Chad was a Managing Director at Sutter Hill Ventures. Chad has worked with the world's best CEOs and CROs to build world-class go-to-market organizations. Chad is currently a member of the Board of Directors for Lacework and Luminary Cloud and on the boards of Clumio and Sigma Computing. He previously served as a board member for Astronomer, Transposit, and others. He was an early-stage investor at Snowflake, Sigma, Observe, Lacework, and Clumio. In Today's Discussion with Chad Peet's We Discuss: 1. You Need a CRO Pre-Product: Why does Chad believe that SaaS companies need a CRO pre-product? Should the founder not be the right person to create the sales playbook? What should the founder look for in their first CRO hire? Does any great CRO really want to go back to an early startup and do it again? 2. What Everyone Gets Wrong in Building Sales Teams: Why are most sales reps not performing? How long does it take for sales teams to ramp? How does this change with PLG and enterprise? What are the benchmarks of good vs great for average sales reps? How do founders and VCs most often hurt their sales teams and performance? 3. How to Build a Hiring Machine: What are the single biggest mistakes people make when hiring sales reps and teams? Are sales people money motivated? How to create comp plans that incentivise and align? Why does Chad believe that any sales rep that does not want to be in the office, is not putting their career and development first? Why is it harder than ever to recruit great sales leaders today? 4. Lessons from Scaling Sales at Snowflake: What are the single biggest lessons of what worked from scaling Snowflake's sales team? What did not work? What would he do differently with the team again? What did Snowflake teach Chad about success and culture and how they interplay together?

7 Marras 1h 9min

20VC: Navan IPO: Winners, Losers and is a $4.5BN Exit Enough in VC Today | Harvey Raises $150M at $8BN Price | Why Google is a Buy and Amazon is a Sell | Meta Down 10%, Is Zuck Struggling?

20VC: Navan IPO: Winners, Losers and is a $4.5BN Exit Enough in VC Today | Harvey Raises $150M at $8BN Price | Why Google is a Buy and Amazon is a Sell | Meta Down 10%, Is Zuck Struggling?

AGENDA: 04:27 Navan's IPO: Winners, Losers and 20% Crater 12:55 Harvey Raises $150M at an $8BN Valuation 35:36 Was Sam Altman Wrong to Snap at Brad Gerstner 41:25 Why GOOG is a Buy and Amazon is a Short 47:43 Meta Down 10%, Buy or Sell?  51:12 If You Have Not Accelerated with AI, You Are Dead 01:05:20 Why Now is the Best Time for Series A and Worst for Seed

6 Marras 1h 16min

20VC: Cohere's Chief AI Officer on Why Scaling Laws Will Continue | Whether You Can Buy Success in AI with Talent Acquisitions | The Future of Synthetic Data & What It Means for Models | Why AI Coding is Akin to Image Generation in 2015 with Joelle Pineau

20VC: Cohere's Chief AI Officer on Why Scaling Laws Will Continue | Whether You Can Buy Success in AI with Talent Acquisitions | The Future of Synthetic Data & What It Means for Models | Why AI Coding is Akin to Image Generation in 2015 with Joelle Pineau

Joelle Pineau is the Chief AI Officer at Cohere, where she leads research on advancing large language models and practical AI systems. Before joining Cohere, she was VP of AI Research at Meta, where she founded and led Meta AI's Montreal lab. A professor at McGill University, Joelle is renowned for her pioneering work in reinforcement learning, robotics, and responsible AI development. AGENDA:  00:00 Introduction to AI Scaling Laws 03:00 How Meta Shaped How I Think About AI Research 04:36 Challenges in Reinforcement Learning 10:00 Is It Possible to be Capital Efficient in AI 15:52 AI in Enterprise: Efficiency and Adoption 22:15 Security Concerns with AI Agents 28:34 Can Zuck Win By Buying the Galacticos of AI 32:15 The Rising Cost of Data 35:28 Synthetic Data and Model Degradation 37:22 Why AI Coding is Akin to Image Generation in 2015 48:46 If Joelle Was a VC Where Would She Invest? 52:17 Quickfire: Lessons from Zuck, Biggest Mindset Shift

3 Marras 57min

20VC: Tim Ferriss: Why I Walked Away From Angel Investing After Uber | How I Accidentally Lost $150 Million | Money Fixed My Problems—Then Made Me Miserable

20VC: Tim Ferriss: Why I Walked Away From Angel Investing After Uber | How I Accidentally Lost $150 Million | Money Fixed My Problems—Then Made Me Miserable

🎧 20VC x Tim Ferriss — Full Episode Timeline 00:00 – "How Do You Stay True to Yourself When You Have to Perform for the World?" 06:00 – "Why Tim Ferriss Refused to Go All-In on YouTube" 09:00 – "You Don't Need 10 Million Fans—You Need 1,000 True Believers." 12:00 – "The Internet Is Not a Relevance Machine—It's a Sensationalism Machine." 15:00 – "Money Fixes Money Problems—And Nothing Else." 22:30 – "When Did Tim Ferriss Feel Completely Lost?" 27:00 – "The Million-Dollar Mistake That Still Haunts Tim Ferriss." 36:00 – "Why Tim Ferriss Never Raised a Fund—Even Though He Could Have." 45:00 – "The Truth About Uber, Duolingo, and the Power of Relationship Investing." 54:00 – "Why Tim Ferriss Stopped Angel Investing at His Peak." 1:04:00 – "The Podcast That Changed Everything." 1:15:00 – "The Real Cost of Love: Is Efficiency Killing Connection?" 1:31:00 – "What Tim Ferriss Has Changed His Mind About Most." 1:36:00 – "Erections Matter."

31 Loka 1h 31min

20VC: a16z Raises $10BN in New Funds | Mercor Raises $350M at a $10BN Valuation | OpenAI Restructuring: Who Wins and Who Loses | Why IRR is a BS Metric and Three Ways to Win in VC Today

20VC: a16z Raises $10BN in New Funds | Mercor Raises $350M at a $10BN Valuation | OpenAI Restructuring: Who Wins and Who Loses | Why IRR is a BS Metric and Three Ways to Win in VC Today

AGENDA: 05:17 OpenAI's Restructuring: Winners and Losers 17:17 Andreessen Horowitz's Raise $10BN in New Funds 26:38 Mercor Raises $350M at a $10BN Valuation 43:08 Spray and Pray: Does it Work: Data Breakdown 47:04 The Role of Option Checks Venture Capital 48:36 The Three Ways to Win in VC Today 54:26 Why IRR is a BS Metric and What Matters More 01:08:47 Amazon's Struggles: How Do They Return to Greatness in AI

30 Loka 1h 24min

20VC: Sequoia's David Cahn on The Winners and Losers in AI | The $0-$100M Revenue Club: Is Triple, Triple, Double, Double Dead? | The Future of Defence: Who Wins and Who Loses | How to Analyse Margins and Growth Rates in a World of AI

20VC: Sequoia's David Cahn on The Winners and Losers in AI | The $0-$100M Revenue Club: Is Triple, Triple, Double, Double Dead? | The Future of Defence: Who Wins and Who Loses | How to Analyse Margins and Growth Rates in a World of AI

David Cahn is a Partner at Sequoia Capital and one of the world's leading AI investors. At Sequoia David has led investments in Clay, Juicebox, Sesame, Kela, Stark, etc.. Before Sequoia, David was a General Partner @ Coatue where he led investments in Notion and Hugging Face. AGENDA: 00:00 We Are in an AI Bubble 05:04 Why Building Physical Data Centres is a Moat 13:58 Winners and Losers in a World of AI 19:13 The Role of Big Tech and Monopolies 23:37 Breaking Down Circular Deals in AI: The Truth No One Sees? 38:19 Why Kingmaking is BS and VCs Do Not Make or Break Companies 41:30 The Importance of Margins in AI Investments 43:41 The Required Growth Rates in AI to Get Funded by Sequoia 45:30 The $0-$100M Revenue Club: Is Triple, Triple, Double, Double Dead? 51:53 Why the Most Important Hire for Startups Today is 23 Year Olds 01:01:19 The Future of Defence: Who Wins and Who Loses 01:10:15 Quickfire: Biggest Miss, Parenting Advice, Doug Leone Advice

27 Loka 1h 14min

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