20VC: Scaling ServiceNow to $5BN in ARR | Leadership Lessons from Doug Leone, Frank Slootman and Bill McDermott | VC Value Add: Is it Real and Why the Worst VCs are "Seagull VCs"

20VC: Scaling ServiceNow to $5BN in ARR | Leadership Lessons from Doug Leone, Frank Slootman and Bill McDermott | VC Value Add: Is it Real and Why the Worst VCs are "Seagull VCs"

David Schneider is a General Partner @ Coatue and one of the great operators of the last 20 years. Prior to Coatue, David was instrumental in ServiceNow’s growth to over $100B+ public market value. David led the growth of the company from $100M to $5BN in revenue. Before joining ServiceNow, David held senior positions at Data Domain, the company he joined at $0 in revenue and scaled to $1BN in revenue and an IPO and acquisition.

In Today's Episode with David Schneider We Discuss:

  1. ServiceNow: Secrets to Scaling to $5BN in ARR:

  • What are David's biggest lessons from scaling ServiceNow to $5BN ARR?
  • What worked? What did not work?
  • What are the most common reasons companies plateau?
  • How did ServiceNow roll out so many different products so effectively?
  • How did David hire and ramp 180 people in 90 days?

2. From OG Operator to Newbie Investor:

  • What have been the single most challenging elements of making the transition to VC?
  • What advice did David get from the biggest names on entering venture?
  • How long did it take David to do his first deal? What advice does he give other operators entering?
  • How does doing deals in 2024 compare to when David started doing deals in 2021?

3. VC Value: Do 90% of VCs Really Damage Companies:

  • Does David agree that 90% of VCs actually detract value?
  • What does David mean when he says that the worst VCs are "seagull VCs"?
  • What are David's biggest tips to founders on how to get the most out of their board?
  • What is enough ownership for David to really give the time needed to a company?

4. Lessons from the Greats: Doug Leone, Bill McDermott, Frank Slootman:

  • Doug Leone: What has David learned from Doug on what it takes to be a great investor and board member?
  • Frank Slootman: What has David learned from Bill on how to be the best leader of a mega company?
  • Bill McDermott: What has David learned from Frank about decision-making and execution.

Avsnitt(1355)

20Sales: Everything You Know About Sales Playbooks is Wrong | How to Hire and Train Your First Sales Hires | How to Crush Pipeline and Deal Reviews as a Team | How to Structure Sales Teams and Sales Comp Plans with Julian Teixeira, CRO @ 1Password

20Sales: Everything You Know About Sales Playbooks is Wrong | How to Hire and Train Your First Sales Hires | How to Crush Pipeline and Deal Reviews as a Team | How to Structure Sales Teams and Sales Comp Plans with Julian Teixeira, CRO @ 1Password

Julian Teixeira is the Chief Revenue Officer at 1Password, where he has grown B2B revenue over 8x and scaled a team of more than 450 in go-to-market. 1Password set the record for the largest raise in Canadian history at the start of 2022 and has raised nearly $1B in capital throughout his time with the company. Prior to 1Password, Julian served as the head of global sales at Lightspeed Commerce, a company he helped scale from startup to IPO and through over 10 acquisitions throughout his decade-long tenure.  In Today’s Episode We Discuss: 04:27 Sales Lessons from Scaling to $1BN in ARR 05:20 How to Create and Master a Sales Playbook 07:53 Lessons on First Sales Hires 09:41 Setting Goals and Targets for Sales Teams 13:22 The Reality of Tech Sales Today 16:19 Evaluating and Managing Sales Reps 19:07 Outbound Prospecting and Pipeline Generation 22:22 Hunter vs. Farmer Sales Models 24:15 Compensation and Specialization in Sales Teams 28:56 Outbound vs Inbound Sales 32:47 Pipeline and Deal Reviews 37:37 Sales Tech Stack and Tools 38:40 Maintaining Sales Morale 44:55 Are Remote Sales Teams Less Effective 46:44 Final Thoughts and Advice This episode is brought to you by: Gong, the revenue AI platform centralising all your revenue workflows in a single unified platform.  Capchase, helping SaaS companies grow without dilution. Learn more at capchase.com/20vc

7 Mars 51min

20VC: Lovable on Hitting $17.5M in ARR in 3 Months | Adding $2.1M ARR Every Week | Hitting 85% Day 30 Retention: Better than ChatGPT | The Story of Europe's Fastest Scaling Company with Anton Osika

20VC: Lovable on Hitting $17.5M in ARR in 3 Months | Adding $2.1M ARR Every Week | Hitting 85% Day 30 Retention: Better than ChatGPT | The Story of Europe's Fastest Scaling Company with Anton Osika

Anton Osika is the Co-Founder and CEO @ Lovable, the fastest growing startup in Europe. With Lovable, you can turn your idea into an app in seconds with just a prompt. After just 3 months, the company has scaled to $17.5M in ARR. They are adding $2M in net new revenue every single week. Even better, Lovable has 85% Day 30 retention rate, making it more retentive than ChatGPT.  In Today’s Episode We Discuss: 03:41 How a Side Project Turned into a $200M Company  05:39 Why Talent is 10x More Valuable Than Experience 08:57 How to Use a Waitlist Pre-Launch to 10x Growth 12:29 How to Master a Public Launch: $0 - $1M ARR in a Week 18:02 Why Raise a Large Seed Round 22:22 How Sustainable is Lovable and AI Revenue 25:22 What are Lovable’s Biggest Threats: Incumbents or Open Source 27:00 Raising Series A: Should You Always Take the Money 27:46 How to Compete in the US from Europe  28:25 Is Europe as F****** as the World Thinks 29:02 Building in Europe vs. Silicon Valley 31:20 The Future of Foundation Models: Who Wins 33:47 Grok vs OpenAI vs Anthropic: Buy and Short 41:37 Quickfire Round: Insights and Reflections

5 Mars 50min

20VC: Anthropic CPO Mike Krieger: Where Will Value Be Created in a World of AI | Have Foundation Models Commoditized | When Do Model Providers Become Application Providers | What Anthropic Learned from Deepseek

20VC: Anthropic CPO Mike Krieger: Where Will Value Be Created in a World of AI | Have Foundation Models Commoditized | When Do Model Providers Become Application Providers | What Anthropic Learned from Deepseek

Mike Krieger is the Co-Founder of Instagram and now CPO @ Anthropic.  In Today’s Episode with Mike Krieger We Discuss: 03:07 Where Will Value Be Created and Sustained in a World of AI? 04:59 Are Foundation Models Commoditised Today? 08:36 Should Founders Build for the Models of Today or Build for Models of the Future 12:19: Why Will Models Become More Different Than More Similar 16:38: Will Human or Synthetic Data Be More Prominent in the Future  19:28 Model Quality vs. Product UX 23:36 The Competitive Landscape of AI 32:27 Do We Underestimate China's AI Capabilities 33:59 What Did Anthropic Learn from Deepseek 34:07 Is Deepseek a Sustaining and Credible Threat? 37:04 Transitioning from Model Provider to Application Provider 38:26 Where Has Anthropic Chronically Under-Invested 39:08 Why Has Anthropic Been Slow On Consumer Product Development 43:50 What is the Role of a Software Developer in the Future 48:29 Balancing API and Consumer Products 51:09 Is Europe Stronger or Weaker in a World of AI 52:40 Quickfire Round: Insights and Reflections

3 Mars 1h 6min

20Growth: Inside Ramp's Growth Engine: How Ramp Became the Fastest Growing SaaS Company Ever | What Worked & What Did Not Work | How to Hire for Growth | How to Find Alpha in Channels Where No One Else Can with George Bonaci

20Growth: Inside Ramp's Growth Engine: How Ramp Became the Fastest Growing SaaS Company Ever | What Worked & What Did Not Work | How to Hire for Growth | How to Find Alpha in Channels Where No One Else Can with George Bonaci

George Bonaci is the VP of Growth at Ramp, where he’s helping one of the fastest-growing fintech companies scale even further. Prior to Ramp, George was VP of Growth at Gong. Before Gong, George was at Samsara where he helped grow revenue from $650M ARR, and played a pivotal role in the company’s successful IPO. In Today’s Growth Masterclass We Discuss: 03:57 How the Best Growth Teams Experiment 05:10 How to Allocate Bets and Resources for Growth 07:09 Velocity vs. Quality in Growth 15:05 The Role of Postmortems and How to Do Them 19:16 Growth Team Structure and Standalone or Not?  20:01 The Three Ways to Find Alpha in Growth 30:01 How to Hire for the Best Growth Hires 31:30 How to do Take-Home Assignments When Hiring for Growth 32:51 Common Pitfalls in Hiring Growth Talent 34:16 Investing in Management and Learning 42:43 How AI Changes Growth Products and Strategies 46:43 Quick Fire Round: Common Mistakes and Growth Channels

28 Feb 55min

20VC: The Insane Story of Glovo: Selling 30% of the Company for €100K | The McDonalds Deal That Saved Them | Running out of Money Three Times | Burning $1M Per Day | Being Acquired for $2.2BN with Oscar Pierre, Founder @ Glovo

20VC: The Insane Story of Glovo: Selling 30% of the Company for €100K | The McDonalds Deal That Saved Them | Running out of Money Three Times | Burning $1M Per Day | Being Acquired for $2.2BN with Oscar Pierre, Founder @ Glovo

Oscar Pierre is the Founder and CEO @ Glovo, the food delivery site that will get you anything you want to your doorstep. This story is insane, the company was started by Oscar 11 years ago, in their pre-seed round they sold ⅓ of the company for €100K. The company was later saved by a deal they made with McDonald's. The company nearly ran out of money on several occasions, one time the funding round came from the CEO of Rakuten who Oscar met an FC Barcelona drinks. Today, they are a part of DeliveryHero who acquired them for $2.2BN, they have delivered 1BN orders and have almost 60M customers.  In Today’s Episode We Discuss: 04:27 Starting with Nothing 07:30 The First Funding Round: Selling ⅓ of the Company for €100K 09:23 Marketplace Dynamics and Expansion 15:34 The McDonald's Deal That Saved the Company 18:38 Running out of Money Three Times: Fundraising Hell 25:57 International Expansion: What Worked 29:25 Lessons from Failures: What Brazil Taught Us 31:36 How to Win in Emerging Markets 32:02 The Burn Rate (Burning $1M per day) and Investor Concerns 33:29 Scaling Challenges and Competitor Threats 34:29 The Biggest BS Elements of Company Values 35:40 How I Ruined the Culture of the Company 41:14 Layoffs and Talent Management 42:06 Biggest Lessons from M&A 44:41 The Future of Quick Commerce 45:38 Acquisition by Delivery Hero 48:56 Post-Acquisition Reflections 54:47 The CEO on Trial and Facing Prison

26 Feb 1h 7min

20VC: Why Google Will Win the AI Arms Race & OpenAI Will Not | NVIDIA vs AMD: Who Wins and Why | The Future of Inference vs Training | The Economics of Compute & Why To Win You Must Have Product, Data & Compute with Steeve Morin @ ZML

20VC: Why Google Will Win the AI Arms Race & OpenAI Will Not | NVIDIA vs AMD: Who Wins and Why | The Future of Inference vs Training | The Economics of Compute & Why To Win You Must Have Product, Data & Compute with Steeve Morin @ ZML

Steeve Morin is the Founder & CEO @ ZML, a next-generation inference engine enabling peak performance on a wide range of chips. Prior to founding ZML, Steeve was the VP Engineering at Zenly for 7 years leading eng to millions of users and an acquisition by Snap.  In Today’s Episode We Discuss: 04:17 How Will Inference Change and Evolve Over the Next 5 Years 09:17 Challenges and Innovations in AI Hardware 15:38 The Economics of AI Compute 18:01 Training vs. Inference: Infrastructure Needs 25:08 The Future of AI Chips and Market Dynamics 34:43 Nvidia's Market Position and Competitors 38:18 Challenges of Incremental Gains in the Market 39:12 The Zero Buy-In Strategy 39:34 Switching Between Compute Providers 40:40 The Importance of a Top-Down Strategy for Microsoft and Google 41:42 Microsoft's Strategy with AMD 45:50 Data Center Investments and Training 46:40 How to Succeed in AI: The Triangle of Products, Data, and Compute 48:25 Scaling Laws and Model Efficiency 49:52 Future of AI Models and Architectures 57:08 Retrieval Augmented Generation (RAG) 01:00:52 Why OpenAI’s Position is Not as Strong as People Think 01:06:47 Challenges in AI Hardware Supply

24 Feb 1h 12min

20VC Exclusive: Mercor Raises $100M at a $2BN Valuation: Scaling to $70M in ARR in 24 Months | 9-9-6: 9AM-9PM - 6 Days Per Week: The Most Intense Culture in Silicon Valley | The Future of Programming, Models and Data with Adarsh Hiremath

20VC Exclusive: Mercor Raises $100M at a $2BN Valuation: Scaling to $70M in ARR in 24 Months | 9-9-6: 9AM-9PM - 6 Days Per Week: The Most Intense Culture in Silicon Valley | The Future of Programming, Models and Data with Adarsh Hiremath

Adarsh Hiremath is the Co-Founder and CTO @ Mercor, an AI recruitment platform and one of the fastest-growing companies in technology. They have scaled to $70M in ARR in just 24 months. They are famed for working 6 days per week, 9AM to 9PM. All of their founders are Thiel fellows, they are also the youngest unicorn founders ever with the fundraise announced today raising $100M led by Felicis at a $2BN valuation.  In Today’s Episode We Discuss: 04:36 How Debating Makes The Best Founders 06:05 Do People Treat You Differently When a Unicorn Founder 10:58 Scaling to $70M ARR in 24 Months 13:42 How Culture Breaks When Scaling So Fast  23:49 The Future of Foundation Models 24:05 OpenAI vs Anthropic 24:32 Data: Synthetic vs Human 27:10 The Future of Programming and AI 28:15 The Impact of AI Tools on Software Development 28:51 Why Software Will Become Commoditised 29:55 Network Effects and Marketplaces 33:13 Raising From Benchmark After a Helicopter Ride 37:30 Quickfire Round: Insights and Reflections

20 Feb 45min

20VC: NVIDIA vs Groq: The Future of Training vs Inference | Meta, Google, and Microsoft's Data Center Investments: Who Wins | Data, Compute, Models: The Core Bottlenecks in AI & Where Value Will Distribute with Jonathan Ross, Founder @ Groq

20VC: NVIDIA vs Groq: The Future of Training vs Inference | Meta, Google, and Microsoft's Data Center Investments: Who Wins | Data, Compute, Models: The Core Bottlenecks in AI & Where Value Will Distribute with Jonathan Ross, Founder @ Groq

Jonathan Ross is the Founder & CEO of Groq, the creator of the world’s  first Language Processing Unit (LPUTM). Prior to Groq, Jonathan began  what became Google’s Tensor Processing Unit (TPU) as a 20% project where he  designed and implemented the core elements of the first-generation TPU chip.  Jonathan next joined Google X’s Rapid Eval Team, the initial stage of the famed  “Moonshots Factory”, where he devised and incubated new Bets (Units) for Google’s  parent company, Alphabet. In Today’s Episode We Discuss: 04:20 Interview with Jonathan Ross Begins 04:59 Scaling Laws and AI Model Training 06:22 Synthetic Data and Model Efficiency 12:01 Inference vs. Training Costs: Why NVIDIA Loses Inference 17:06 The Future of AI Inference: Efficiency and Cost 18:15 Chip Supply and Scaling Concerns 20:57 Energy Efficiency in AI Computation 25:40 Why Most Dollars Into Datacenters Will Be Lost 31:05 Meta, Google, and Microsoft's Data Center Investments 41:11 Distribution of Value in the AI Economy 42:10 Stages of Startup Success 43:17 The AI Investment Bubble 45:00 The Keynesian Beauty Contest in VC 48:40 NVIDIA's Role in the AI Ecosystem 53:39 China's AI Strategy and Global Implications 57:51 Europe's Potential in the AI Revolution 01:10:14 Future Predictions and AI's Impact on Society

17 Feb 1h 20min

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