20Sales: What I Learned Scaling Datadog from $60M to $1BN in ARR | How to do Outbound in 2024 | Why Discounting is Dangerous and Contract Sizes are Misleading with Dan Fougere

20Sales: What I Learned Scaling Datadog from $60M to $1BN in ARR | How to do Outbound in 2024 | Why Discounting is Dangerous and Contract Sizes are Misleading with Dan Fougere

Dan Fougere is one of the most successful sales leaders of the last decade. Most recently, Dan was Chief Revenue Officer for Datadog, growing revenues from $60 million to $1BN ARR. Before Datadog, Dan was Head of Global Sales at Medallia where he created the Mediallia sales playbook. In addition, Dan is also a minority owner of the New York Yankees.

In Today’s Episode with Dan Fougere:

1. Lessons Scaling Sales to $1BN in ARR at Datadog:

  • What did Datadog not do that Dan wishes they had of done?

  • What did they not do that Dan wishes they had done?

  • What does Dan know about scaling sales to $1BN in ARR that he wishes he had known at the beginning?

  • What stage of the scaling process was hardest? Why?

2. How to Hire the Best Sales Team:

  • What are the top signals of the best sales candidates?

  • How does Dan structure the interview process for new candidates?

  • How does Dan use tasks and take-home assignments to test candidates?

  • What does Dan think of hiring panels?

  • What are the biggest hiring mistakes Dan has made? What did he learn?

3. Discounting, Logos and Deal Reviews:

  • Is discounting always wrong? How should sales leaders use it?

  • How important is the quality of logo in the early days vs revenue in the door?

  • What is the right way to structure deal reviews? What makes good vs great?

  • Is outbound dead in 2024? Advice to founders on outbound?

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20VC: Turning a $15M Investment in Monday into $1.5BN in Cash | The Strategy Behind a 37x DPI $45M Fund | The Three Step Process to Selling Positions that has Netted Top Percentile Returns with Avi Eyal, Co-Founder @ Entrée Capital

20VC: Turning a $15M Investment in Monday into $1.5BN in Cash | The Strategy Behind a 37x DPI $45M Fund | The Three Step Process to Selling Positions that has Netted Top Percentile Returns with Avi Eyal, Co-Founder @ Entrée Capital

Avi Eyal is Co-Founder and Managing Partner of Entrée Capital, an early-stage VC fund with a portfolio including the likes of Monday.com, Stripe, Coupang, PillPack, and Snap. From their $15M investment into Monday, Entrée distributed a whopping $1.5BN, one of their $45M funds is a whopping 37x DPI. Avi is one of the greatest venture investors you might not have heard about. In Today's Episode with Avi Eyal We Discuss: 1. The Biggest BS "Rules" in Venture Capital: Why does Avi believe that it is BS for every deal to need to be a homerun and return the fund? Why does Avi believe that signalling is real and it is BS to suggest otherwise? Why does Avi believe that it is BS that ownership is crucial to make mega venture returns? Why does Avi believe that you do not have to win every deal to be one of the best in venture? Why should venture investors not manage the positions of their companies when they go public? Why is it BS to think they have asymmetric information when the company goes public? 2. What Makes the Best Founders: Does Avi prefer first or second time entrepreneurs? Why? Would Avi rather back a founder that is an expert in a market or one that is new to a market and has the naivety to not know what is hard? Are the best CEOs the best fundraisers? How does Avi rank the following when investing; team, market, traction and technology? When Avi has misread a founder, what was it that he missed? 3. The Biggest Hits and Biggest Misses: Monday: How did Entrée build such a large position in Monday over time? How did a Series A lead dropping out leading to a $1.5BN gain for Entree? Stripe: Entrée has now 50% of his Stripe position. Why? What is the three step process for Avi in selling positions? How does he know when to and what is the right amount? PillPack: Entrée made $15M from PillPack's exit. What did that teach Avi about ownership? Cazoo: How was Entrée the only one to make money from Cazoo? How did Entrée's sell strategy help him make millions when everyone else did not sell?

3 Juli 202458min

20VC: LLMs Are Reaching a Stage of Diminishing Returns: What is the Next S Curve | The Bull & Bear Case for China's Ability to Challenge the US' AI Capabilities | How AI Changes the Future of War & How Agents Will Reshape Society with Matt Clifford @ EF

20VC: LLMs Are Reaching a Stage of Diminishing Returns: What is the Next S Curve | The Bull & Bear Case for China's Ability to Challenge the US' AI Capabilities | How AI Changes the Future of War & How Agents Will Reshape Society with Matt Clifford @ EF

Matt Clifford is the Co-Founder of Entrepreneur First (EF), the leading global talent investor and incubator. EF has incubated startups worth over $10bn, including Cleo, Tractable and Aztec Protocol. Matt is also Chair of ARIA, the UK’s Advanced Research and Invention Agency, and advises the UK government on AI and in 2023 served as the Prime Minister’s Representative for the AI Safety Summit at Bletchley Park. In Today's Episode with Matt Clifford We Discuss: 1. The Most Important Questions in AI: Are we seeing diminishing returns where more compute does not lead to a significant increase in performance? What is required to reach a new S curve? What do we need to see in GPT 5? Why does Matt believe that search is one of the biggest opportunities in AI today? 2. The Biggest Opportunities in AI Today: How does Matt see the future for society with a world of autonomous agents? What is the single biggest opportunity around agents that no one has solved? Is society ready for agentic behaviours to replace the core of human labour? How does warfare change in a world of AI? Does AI favour states and good actors or criminals and bad actors more favourably when it comes to offence and defence? 3. China and the Race to Win the AI War: Does Matt believe that China are two years behind the US in terms of AI capability? What are Matt's biggest lessons from spending time with the CPP in China working on AI policy? In what way is the CCP more sophisticated in their thinking on AI than people think? What is the bull and the bear case for China in the race for AI? What is the core impact of US export controls on chips for China's ability to build in AI? Does a Trump vs a Biden election change the playing field with China? 4. What Makes Truly Great Founders: Does Matt agree that the best founders always start an entrepreneurial activity when they are young? What is more important the biggest strength of one of the founders or the combined skills of the founding team? What did EF believe about founders and founder chemistry that they no longer believe? Does Matt believe that everyone can be a founder? What are the two core traits required?

1 Juli 20241h 2min

20VC: Raising $126M Across 3 Rounds in Just 6 Months, Being the Youngest Founder of a Unicorn Company | But Everything Was Not as it Seemed: The Real Story of Vise: The Regrets, Mistakes and Mis-Hires with Vise's Samir Vasavada

20VC: Raising $126M Across 3 Rounds in Just 6 Months, Being the Youngest Founder of a Unicorn Company | But Everything Was Not as it Seemed: The Real Story of Vise: The Regrets, Mistakes and Mis-Hires with Vise's Samir Vasavada

Samir Vasavada is the Co-Founder & CEO of Vise, a technology-powered asset manager. Samir and his co-founder, Runik founded Vise from the Midwest at 16 years old. They bootstrapped the company before dropping out of high school and raising $128M in just 6 months from some of the best including Sequoia Capital and Founders Fund. The company achieved unicorn status when the pair turned 20 years old, making them the youngest founders of a $BN company at the time. In Today's Episode with Samir Vasavada We Discuss: 1. The Biggest Hiring Mistakes That Broke Us: Why is hiring people who come with a playbook one of the most damaging things you can do? Why is it impossible to build a remote company that performs the same as in person? Why is it the worst thing to hire people who have a reputation they are obsessed with maintaining? Why do you never want to hire people who join because of who your investors are? Why does Samir regret not firing people faster? How much time is enough time to know? Why is hiring in a hot market one of the most dangerous things you can do? 2. Fundraising: 3 Rounds and $126M in 6 Months: Does Samir regret raising so much money so soon in the company life? What did Samir do that he regrets doing, having had so much money so early? How did the need for free food at an event lead to a term sheet and $50M from Sequoia? Did Samir feel that he could talk to investors when things were going really badly? Why does Samir believe that liquidation preference matters more than valuation? 3. The Depression, The Pressure and Wisdom From Jensen Huang: What did Jensen Huang teach Samir when it comes to wealth and leadership? How did Samir deal with the pressure of raising $126M in 6 months and being the youngest unicorn founder, ever at the time? Was Samir hurt when people he thought were his friends, no longer stuck with him when the company was no longer "hot"? What was Samir's darkest time? How did he overcome and get out of it? Does Samir blame his parents for the pressure they put on him from such a young age?

28 Juni 202459min

20VC: Klaviyo's Andrew Bialecki on Going Public in an IPO Winter, Is Klaviyo Under-Priced in Public Markets and Why, Why Every VC Turned Klaviyo Down in the Early Days & How Shopify's Partnership Changed the Game

20VC: Klaviyo's Andrew Bialecki on Going Public in an IPO Winter, Is Klaviyo Under-Priced in Public Markets and Why, Why Every VC Turned Klaviyo Down in the Early Days & How Shopify's Partnership Changed the Game

Andrew Bialecki is the Co-Founder and CEO of Klaviyo, the platform that powers smarter digital relationships for businesses and their data. To date, Klaviyo has raised over $778M from the likes of Accel, Summit Partners, Sands Capital, and Shopify, and raised an additional $700M after its IPO in September 2023.  In Today’s Episode with Andrew Bialecki We Discuss: Founding a $6.23BN Machine in Klaviyo: The Aha Moment What was the aha moment for Klaviyo? How important does Andrew think it is for founders to stick with their initial vision vs when is the right time to pivot? Does a great product sell itself? If you build it, will they come? Bootstrapping Klaviyo: Would it Have Worked with More VC Cash Earlier? Why did Andrew decide to bootstrap & not take VC money with Klaviyo? Does Andrew think Klaviyo would have been successful if they raised a seed round? What would they have done differently? Why does Andrew believe companies should take their time to find product-market fit? What are the most common mistakes founders make? What is Andrew’s advice to founders on fundraising? When did Andrew decide to raise a seed round when he did?  How to IPO in an IPO Winter: Advice & Lessons Why did Andrew decide to take Klaviyo public in a bad public market? How was the IPO roadshow process? What were Andrew’s lessons from it? How has Andrew’s role as CEO changed after taking Klaviyo public? Does Andrew think Klaviyo is undervalued today? What is Andrew’s advice to founders on secondaries? Behind the Shopify Partnership How did Klaviyo’s partnership with Shopify happen? What were Andrew’s lessons working with Tobi Lütke & Harley Finklestein? How does Andrew define a win-win partnership?  What does Andrew mean by “Partnerships are like a tug of war?” What does Andrew think are the most common reasons partnerships go sideways?

26 Juni 202451min

20VC: Why Foundation Model Performance is Not Diminishing But Models Are Commoditising, Why Nvidia Will Enter the Model Space and Models Will Enter the Chip Space & The Right Business Model for AI Software with David Luan, Co-Founder @ Adept

20VC: Why Foundation Model Performance is Not Diminishing But Models Are Commoditising, Why Nvidia Will Enter the Model Space and Models Will Enter the Chip Space & The Right Business Model for AI Software with David Luan, Co-Founder @ Adept

David Luan is the CEO and Co-Founder at Adept, a company building AI agents for knowledge workers. To date, David has raised over $400M for the company from Greylock, Andrej Karpathy, Scott Belsky, Nvidia, ServiceNow and WorkDay. Previously, he was VP of Engineering at OpenAI, overseeing research on language, supercomputing, RL, safety, and policy and where his teams shipped GPT, CLIP, and DALL-E. He led Google's giant model efforts as a co-lead of Google Brain. In Today's Episode with David Luan We Discuss: 1. The Biggest Lessons from OpenAI and Google Brain: What did OpenAI realise that no one else did that allowed them to steal the show with ChatGPT? Why did it take 6 years post the introduction of transformers for ChatGPT to be released? What are 1-2 of David's biggest lessons from his time leading teams at OpenAI and Google Brain? 2. Foundation Models: The Hard Truths: Why does David strongly disagree that the performance of foundation models is at a stage of diminishing returns? Why does David believe there will only be 5-7 foundation model providers? What will separate those who win vs those who do not? Does David believe we are seeing the commoditization of foundation models? How and when will we solve core problems of both reasoning and memory for foundation models? 3. Bunding vs Unbundling: Why Chips Are Coming for Models: Why does David believe that Jensen and Nvidia have to move into the model layer to sustain their competitive advantage? Why does David believe that the largest model providers have to make their own chips to make their business model sustainable? What does David believe is the future of the chip and infrastructure layer? 4. The Application Layer: Why Everyone Will Have an Agent: What is the difference between traditional RPA vs agents? Why is agents a 1,000x larger business than RPA? In a world where everyone has an agent, what does the future of work look like? Why does David disagree with the notion of "selling the work" and not the tool? What is the business model for the next generation of application layer AI companies?

24 Juni 202456min

20Growth: How Revolut Acquired Their First 10M Users: Tips, Tactics and Strategies From the Revolut Product & Growth Playbook with Val Scholz, Former Head of Growth @ Revolut

20Growth: How Revolut Acquired Their First 10M Users: Tips, Tactics and Strategies From the Revolut Product & Growth Playbook with Val Scholz, Former Head of Growth @ Revolut

Val Scholz is the former Head of Growth @ Revolut, where he led the company to their first 10M users. Post Revolut, Val played a crucial role in scaling several high-growth companies including VEED, Simple & Busuu (exited for $400M). Today, Val is the Head of Growth at Kittl, an intuitive design platform empowering graphic designers. In Today’s Episode with Val Scholz We Discuss: Lessons from Scaling Revolut to 10M Users What were Val’s biggest takeaways during his time at Revolut? What does Val consider the secret sauce behind Revolut’s success? What did Val think Revolut understood about customers that no other bank did? The Secrets to Revolut’s Growth Playbook What was Val’s best growth decision? What was his worst? Why does Val think most companies don’t do referrals well? What made Revolut’s signup strategy so successful? What are Val’s two ways to master content marketing? Does Val think it’s good to diversify growth channels? When should founders diversify? What are Val’s strategies to make Youtube influencers successful? Product Marketing 101: Why does Val think traditional marketing methods are outdated? If traditional marketing methods are outdated, what should startups do instead? What does Val think is the most dangerous myth around product-led growth? What does Val believe are the most common mistakes founders make on optimizing products? Growth Hires: Who, What, When & How When does Val think is the best time to hire a head of growth? What is the profile Val looks for in a growth hire? What traits does he look for? What are the most common reasons founders fail at hiring? What does Val think are the biggest red flags to look out for in a CV? How does Val define good culture? Did Revolut have a good culture?

21 Juni 202453min

20VC: Foundation Models are the Fastest Depreciating Asset in History, Lina Kahn is a Threat to American Capitalism, PE is Not Coming to Save the M&A Market & How China Could Overtake the US in the AI Race with Michael Eisenberg

20VC: Foundation Models are the Fastest Depreciating Asset in History, Lina Kahn is a Threat to American Capitalism, PE is Not Coming to Save the M&A Market & How China Could Overtake the US in the AI Race with Michael Eisenberg

Michael Eisenberg is a Co-Founder and General Partner @ Aleph, one of Israel's leading venture firms with a portfolio including the likes of Wix, Lemonade, Empathy, Honeybook and more. Before leading Aleph, Michael was a General Partner @ Benchmark. In Today's Show with Michael Eisenberg We Discuss: 1. The State of AI Investing: Why does Michael believe that "foundation models are the fastest depreciating asset in history"? Are we in an AI bubble today? As an investor, what is the right way to approach this market? Who will be the biggest losers in this AI investing phase? Where will the biggest value accrual be? What lessons does Michael have from the dot com for this? 2. Where Is the Liquidity Coming From? Why does Michael believe that it is BS that private equity will come in and buy a load of software companies and be the primary exit destination? Why does Michael believe that IPO windows are always open? Should founders go out now? What is good enough revenue numbers to go out into the public markets? Why does Michael believe that Lina Kahn is a threat to capitalism? How does Michael predict the next 12-24 months for the M&A market? 3. AI as a Weapon: Who Wins: China or the US: Does Michael agree with the notion that China is 2 years behind the US in AI development? Does Michael agree that AI could be a more dangerous weapon in wars than nuclear weapons? Why does Michael suggest that for all founders in Europe, they should leave? US, China, Israel, Europe, how do they rank for innovating around data regulation for AI? 4. Venture 101: Reserves, Selling Positions and Fund Dying: Why does Michael only want to do reserves into his middle-performing companies? What framework does Michael use to determine whether he should sell a position? Which funds will be the first to die in this next wave of venture? Why does Michael not do sourcing anymore? Where is he weakest in venture? Why does Michael believe that no board meeting needs to be over 45 mins?

19 Juni 202456min

20VC: Index's Danny Rimer on Investing Lessons from Hits like Figma, Discord and Etsy to Missing Snapchat, Airbnb, Facebook & Spotify | Why Valuation is a Trap and Market Sizing, Signalling and Sector/Geo-Specific Funds are all Noise

20VC: Index's Danny Rimer on Investing Lessons from Hits like Figma, Discord and Etsy to Missing Snapchat, Airbnb, Facebook & Spotify | Why Valuation is a Trap and Market Sizing, Signalling and Sector/Geo-Specific Funds are all Noise

Danny Rimer is a Partner @ Index Ventures and one of the most prominent VCs of the last two decades. Danny has led Index to be one of the top global firms on both sides of the Atlantic. Among Danny's incredible portfolio, he has led or been involved with Figma, Discord, Dream Games, Etsy, Glossier and Patreon. In Today's Discussion with Danny Rimer We Cover: 1. The Biggest Lessons from Missing Snap, Airbnb, Spotify and Facebook: How did Danny miss investing in Brian Chesky and Airbnb when Brian says "Index is the best investor that Airbnb never had"? What was Danny's biggest takeaway from turning down Daniel Ek and Spotify multiple times? Why did Danny turn down the chance to invest in Facebook at $10BN? What did he learn from this? Why did Index not lead Snapchat's Series B? How did that decision change Danny's mindset towards the concentration of positions in a fund? 2. The Biggest BS Rules in Venture: Market Sizing, Valuations and Signalling Why does Danny believe that "valuation is a mental trap"? Why does Danny believe that TAM is "noise" and should not be used to assess an investment? Why does Danny believe that stage, sector and geo-specific funds are BS? Why does Danny believe there are no IPO windows? Are IPO markets always open to the best? Why does Danny believe that signalling is BS and does not exist today? 3. Lessons from the Biggest Wins and Losses: What are Danny's biggest lessons from Index's $BN win in King (Candy Crush)? How did the Discord deal come to be? What are Danny's biggest takeaways from it? What are Danny's biggest reflections from losing 10s of millions on Nasty Gal? What is Danny's biggest advice to a new investor today? 4. Lessons from Two Decades Building Index into a Premier Firm: What specifically has Index done to enable them to do what no one else has done and win on both sides of the Atlantic? How did the Benchmark partnership shape much of how Danny has constructed Index today? Who does Danny view as Index's biggest competition? How has it changed with time? Why is Danny more bullish than ever on the UK despite Brexit?

17 Juni 20241h 13min

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