20VC: Jason Lemkin on Why Founders Do Not Care About Their VCs Anymore, Why Zoom Made Us All Worse Investors, Why 80-90% IRR Should Have Been Warning Signs and the Algolia Journey From Seed to $2.25BN Valuation

20VC: Jason Lemkin on Why Founders Do Not Care About Their VCs Anymore, Why Zoom Made Us All Worse Investors, Why 80-90% IRR Should Have Been Warning Signs and the Algolia Journey From Seed to $2.25BN Valuation

Jason Lemkin is one of the OGs of SaaS of the last decade. As the Founder of SaaStr, he has inspired more SaaS founders than one can imagine building "The World's Largest Community for Business Software." Jason also invests out of the $100M SaaStr Fund and in the past Jason has led rounds into TalkDesk, Pipedrive, Algolia, Gorgias, Salesloft, and many more incredible companies. Prior to founding SaaStr, Jason was the Co-Founder of Echosign, an early e-signature business, funded by Emergence Capital and that was acquired by Adobe for $100M.

In Today's Episode with Jason Lemkin On Algolia We Discuss:

1.) Meeting the Unicorn: Algolia:

  • How did Jason first come to meet Nicolas (Founder) and Algolia?
  • What specific elements of cold emails make the best attract Jason's attention? What do they have in them? What are the most common mistakes people make with cold emails?
  • What is the single biggest mistake Jason made when making the deal with Algolia? How did Jason lead their seed round when their round was "oversubscribed"?

2.) Competition and TAM: The Reasons To Say No:

  • Competing with Free: How did Jason analyze the competitive landscape Algolia was facing? How did he gain comfort that they could compete and win against free and open-source?
  • TAM Analysis: The TAM at the time for Algolia was $2M. How did Jason analyze the TAM at the time? How did he get comfortable with such a small TAM?
  • What are the single biggest mistakes investors make when analyzing competition today? What are the biggest mistakes founders make when presenting the competitive landscape?
  • What are the single biggest mistakes investors make when analyzing TAM today? What are the biggest mistakes founders make when presenting the TAM and how it breaks down?

3.) Investing Lessons Transition from CEO to VC:

  • Jason has previously said one of his biggest lessons is "bet on what you know when you go from CEO to VC"? What did he mean by this?
  • How can one keep this operator knowledge and mentality when one is a VC for a long time?
  • What are the biggest pieces of advice that Jason would give to operators becoming investors?
  • What are the biggest mistakes that Jason made in his first 3 investments as a VC? How did he change?

4.) Mastering the World of Venture Today:

  • Why does Jason believe that he has become a worse investor with the rise of "remote investing"?
  • Why does Jason believe he is a worse investor without having a partner in SaaStr Fund?
  • Why does Jason believe that even the best founders do not want hard feedback anymore? Should we as VCs still give it to them? What has Jason learned here?
  • Will we see great LP churn and many LPs leaving the asset class? What will happen to the existing incumbents with massive AUM and reduced performance?

Jaksot(1389)

20VC: Scale's Alex Wang on Why Data Not Compute is the Bottleneck to Foundation Model Performance, Why AI is the Greatest Military Asset Ever, Is China Really Two Years Behind the US in AI and Why the CCPs Industrial Approach is Better than Anyone Else's

20VC: Scale's Alex Wang on Why Data Not Compute is the Bottleneck to Foundation Model Performance, Why AI is the Greatest Military Asset Ever, Is China Really Two Years Behind the US in AI and Why the CCPs Industrial Approach is Better than Anyone Else's

Alex Wang is the Founder and CEO @ Scale.ai, the company that allows you to make the best models with the best data. To date, Alex has raised $1.6BN for the company with a last reported valuation of $14BN earlier this year. Scale tripled their ARR in 2023 and is expected to hit $1.4BN in ARR by the end of 2024. Their investors include Accel, Index, Thrive, Founders Fund, Meta and Nvidia to name a few. In Today's Show with Alex Wang We Discuss: 1. Foundation Models: Diminishing Returns: What are the three core pillars that can meaningfully improve foundation models performance? Why is data the single largest bottleneck to the performance of models today? What data do we need to capture that we do not currently, that will have the biggest impact on model performance moving forward? Will we see the largest companies in the world revert back to on-prem with the increasing security challenges of migrating all customer data to foundation models? 2. AI: A Military Asset in Global Conflict: China + Russia Why does Alex believe that AI has the potential to be an even more powerful military asset than nuclear weapons? If this is the case, should we have open systems? Do we not have to have closed systems? Why does Alex believe that the CCP's approach to industrial policy is better than anyone else's? How does Alex evaluate the rise of Chinese EV car manufacturers in the last few years? Does Alex really believe that China is two years behind the US in the AI race? 3. "I Get Fairer Treatment in Congress than in the Press": Why does Alex believe that the best PR is no PR? Why does Alex believe that he got fairer treatment in congress than he does in the media? Why does Alex believe that all founders should look to own their own distribution channels today? 4. Alex Wang: AMA: What are some of Alex's biggest lessons from Patrick Collison on the impact that a hot company brand has on the ability for that company to hire the best? Does Alex think Trump is going to win? What would be the impact if he were to? Why does Alex believe that enterprise software will be changed forever in the next few years? What question is Alex never asked that he thinks he should be asked?

12 Kesä 202459min

20VC: Reid Hoffman on Foundation Models: Who Wins & How Do Incumbents Respond | The Inflection AI Deal: How it Went Down | Why Trump is a Threat to Democracy | The Future of TikTok | Lessons from Sam Altman, Brian Chesky and the OpenAI Board

20VC: Reid Hoffman on Foundation Models: Who Wins & How Do Incumbents Respond | The Inflection AI Deal: How it Went Down | Why Trump is a Threat to Democracy | The Future of TikTok | Lessons from Sam Altman, Brian Chesky and the OpenAI Board

Reid Hoffman has been one of the most impactful people in technology over the last two decades. He is the Co-Founder of Linkedin (acq by Microsoft for $26BN) and Co-Founder of Inflection.ai. As an investor, Reid has backed the likes of Facebook, Airbnb, Zynga and more. Reid is also a Board Member @ Microsoft and was on the board of OpenAI. In Today's Show with Reid Hoffman We Discuss: 1. Foundation Models: Commoditisation, Business Models, Incumbents: Does Reid believe we are seeing the commoditization of foundation models? Is it too late for new foundation models to be born today? Are they VC backable? How will foundation models eventually make money? What will be the sustainable business model? Does Reid believe that foundation models will be acquired by large cloud providers? Who goes first? 2. Inflection & Microsoft: What Went Down: How did the Microsoft and Inflection deal go down? Did Satya call up one day and make it happen? With the decay rate of models, Microsoft did not do it for the models, so why did they do it? Was Inflection a sustainable business in it's own right? Does this not prove that to win at this game, you have to be an incumbent with incumbent cash? 3. OpenAI: Board, Lessons and Management: What are 1-2 of Reid's biggest lessons from being on the OpenAI board with Sam? Why did Sam ask Reid in front of the whole company if Reid would fire him if he did not perform? Scarlett Johannsen, super alignment team quitting, NDAs tied to equity, this is a lot in a short amount of time, how does Reid analyse this? 4. Trump is the Biggest Threat to Democracy: What Lies Ahead? Why does Reid believe that Trump is a threat to democracy and evil? What were Reid's biggest takeaways from a two hour lunch with Joe Biden? How does a Trump administration change the world of AI, technology and startups? 5. The Future of TikTok: Is TikTok a threat to US democracy? Should it be banned? What will be the outcome of the current judicial process? Will they sell to a US entity? How could Trump impact the future of TikTok in the US? 6. Reid Hoffman: AMA: What are Peter Thiel's biggest strengths and weaknesses? I believe Mark Zuckerberg is one of the most unappreciated public market CEOs, what are the core components that Reid believes makes Mark so special? How did Reid miss out on investing in SpaceX's first round? What did he not see that he should have seen? What do we think is crazy today but will be a no brainer and very normal in 10 years?

10 Kesä 20241h 15min

20Sales: How Rippling Built Their Sales Machine: How to Hire, Train and Manage the Best SDRs, What is the Right Comp Package for Sales Teams & The Playbook to Start and Scale Your SDR Team

20Sales: How Rippling Built Their Sales Machine: How to Hire, Train and Manage the Best SDRs, What is the Right Comp Package for Sales Teams & The Playbook to Start and Scale Your SDR Team

Ashley Kelly is the VP of Global Sales Development at Rippling, the all-in-one platform for HR, IT, and finance. Before Rippling, Ashley played a crucial role in scaling Brex's outbound sales from $2M to over $300M in ARR, and has hired over 800 SDRs during her time in some of the best tech companies in Silicon Valley, including Lever and Zenefits. In Today's Episode with Ashley Kelly We Discuss: From NASCAR to Silicon Valley SDR How did Ashley make her way into the world of sales? Why does Ashley think the best AEs and leaders start off as SDRs? What is Ashley's advice to new SDRs starting their jobs today? Age of AI: Is SDR Outbound Dead? Does Ashley agree that outbound is dead today? Is SDR dead? How will AI change SDR? Why is Ashley hesitant to adopt AI? Why does Ashley think founders should always build the first sales playbook? What did Ashley mean by SDR is the 3rd pillar between sales and marketing? What does Ashley think most companies get wrong about outbound? SDR Hiring: Who, What, When & How When does Ashley think founders should hire their first SDR? How does Ashley structure the hiring process? What questions does she ask? What profile does Ashley look for when hiring for an SDR? How does Ashley structure the finance package? How is it different for each team? Why did Ashley avoid hiring SDRs with SDR experience? Why has she changed her mind? What was Ashley's biggest hiring mistake? What were her takeaways? Onboarding New SDR Hires How does Ashley onboard new SDR hires? What is her onboarding timeline? How does Ashley set targets for new hires? When should they be fully productive? When does Ashley know if a new hire isn't working? What are common traits among Ashley's most successful hires?

7 Kesä 202453min

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

Aravind Srinivas is the Co-Founder & CEO of Perplexity, the conversational "answer engine" that provides precise, user-focused answers to queries. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $100 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, and Susan Wojciki. In Today's Episode with Aravind Srinivas We Discuss: Biggest Lessons from DeepMind & OpenAI What was the best career advice Sam Altman @ OpenAI gave Aravind? What were Aravind's biggest takeaways at DeepMind? How did DeepMind shape how Aravind built Perplexity? What did Aravind mean by "competition is for losers?" What did he learn about talent assembly at DeepMind? The Next AI Breakthrough: Reasoning Does Aravind think we are experiencing diminishing returns on compute & model performance? Does Aravind agree reasoning will be the next big breakthrough for models? What are the reasons Aravind thinks models suck at reasoning today? What is the timeline for reasoning improvement according to Aravind? What does Aravind think are the biggest misconceptions about AI today? Will Foundation Models Commoditise? Does Aravind think foundation models will commoditise? What will the end state of foundation models look like? Why does Aravind think the second tier models will get commoditised? Why does Aravind think the subscription model will not work for AI models with true reasoning? Why does Aravind think the application layer companies will benefit from foundation models commoditising? Why does Aravind think foundation models will not verticalize? When does Aravind think is the right time to go enterprise? What is his strategy to differentiate Perplexity from its competitors? AI Arms Race: Who Will Win? Who does Aravind think will be the winners of foundation models? What do AI companies need to do to win the model arms race? How does Aravind think startups can compete against incumbents' infinite cash flow? What are the reasons Aravind thinks Perplexity's browsing is better than ChatGPT? What is Aravind's biggest challenge at Perplexity today?

5 Kesä 202455min

This Week in SaaS: PluralSight Goes to Zero, Salesforce and Mongo Hit Hard, The Next IPO Candidates and How Do We Solve the Problem of Liquidity in Venture Capital

This Week in SaaS: PluralSight Goes to Zero, Salesforce and Mongo Hit Hard, The Next IPO Candidates and How Do We Solve the Problem of Liquidity in Venture Capital

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Our First Ever Episode of This Week in SaaS 1. PluralSight Goes to Zero: WTF happened to PluralSight? How did it go from $3.5BN to $0? Will this have a wider impact on the willingness of PE to buy tech companies? Who are the next contenders to go from hero to zero? Zendesk? Anaplan? Will this generation of PE funds be let off by their LPs for a poor vintage? 2. Salesforce's Worst Stock Market Drop Since 2004 + Mongo Takes a 23% Hit: Why did Salesforce lose $50BN of market cap in a single day? Is the same true for MongoDB taking a 23% hit in one day? What does it mean when the new normal is these once hyper-growth companies now growing only 6% per annum? 3. The Settlers into Slow Growth: Why does Jason believe that Dropbox and Box have both settled into a world of slow growth? What happens to Twilio from here in a world post Jeff Lawson? What happens to Retool from this point on? Would Jason be a buyer of Notion at $10BN? 4. Venture Capital is Broken: Why does Jason believe that we need to see a relation of public multiples for the math in venture capital to work again? Why does Jason believe that the way we mark portfolios with TVPI leads to corrupt and bad behaviour? How does Jason think we will solve the problem of liquidity with IPOs being shut, M&A being out of the window and now PE being a doubt as the source of buyers?

3 Kesä 20241h 9min

20Growth: The Six Channels Startups Need to Dominate to Grow, Why the Best Growth Talent Never Comes from Marketing or Product, Who and How to Hire Growth Leaders and Teams and Why in a World of AI, Growth is More Science than Art with Matt Lerner

20Growth: The Six Channels Startups Need to Dominate to Grow, Why the Best Growth Talent Never Comes from Marketing or Product, Who and How to Hire Growth Leaders and Teams and Why in a World of AI, Growth is More Science than Art with Matt Lerner

Matt Lerner is one of the OGs of growth having spent 11 years leading growth teams at PayPal. Post PayPal, Matt led the growth marketing program at 500 Startups. He is also the bestselling author of Growth Levers and How to Find Them. Today, Matt is the Co-Founder and CEO of SYSTM, an accelerator program helping startups find their growth drivers. In Today's Episode with Matt Lerner We Discuss: From Philosophy Student to PayPal Growth Leader: How did Matt make his way into the world of growth? What were Matt's biggest lessons from 11 years at PayPal? What did Matt know now that he wished he'd known when he entered the world of growth? How to Master Growth in a World of AI: What is growth to Matt? What is it not? Why does Matt think growth is more science than art? Does Matt Agee with Adam Gross @ Vimeo that paid acquisition below $100M ARR isn't PLG? How does Matt think AI will change the world of growth today? What does Matt think are the most common growth mistakes founders make? Optimizing Growth Channels: Dos & Don'ts Why does Matt believe there are only six types of growth channels? What is the "locksmith moment" & how do startups find channels that work for them? How does Matt pick a Northstar metric? What are the most common mistakes founders make when picking North Star metrics? When is the right time to change them? How does Matt approach horizontal product messaging? What works? What doesn't work? How to Hire & Manage Growth Teams What does Matt look for in the first head of growth hire? What questions does Matt ask when interviewing? What were Matt's biggest hiring mistakes? What did he learn? Why does Matt think the best growth hires have no marketing experience? What are Matt's two steps to master onboarding? What are the 3 most common patterns in leaders according to Matt?

31 Touko 202455min

20VC: Former Meta CTO, Schrep on Why Climate is a $10TRN Problem, Operating Lessons Scaling Products to Billions at Meta and Why the Best Leaders are Like Music Conductors

20VC: Former Meta CTO, Schrep on Why Climate is a $10TRN Problem, Operating Lessons Scaling Products to Billions at Meta and Why the Best Leaders are Like Music Conductors

Mike Schroepfer (Schrep) is the Founder & Partner @ Gigascale Capital, a new kind of climate-focused investment firm. Prior to Gigascale, Mike was the CTO @ Meta where he scaled products to billions of users, shipped millions of units of consumer hardware, constructed tens of millions of sq ft of data centres, built teams of up to 35,000, and made breakthroughs in AI. Before Meta, Mike led engineering at Mozilla and founded a company acquired by Sun Microsystems. In Today's Show with Mike Schroepfer We Discuss: 1. Lessons from Mark Zuckerberg and Meta: What are Schrep's biggest lessons from Zuck on truly effective leaders? Why does Schrep believe the best leaders are like music conductors? What does Schrep mean when he says, "building a company is a game of inches"? Why does Schrep believe "inertia is one of the most underappreciated forces in company building?" 2. The Future of Energy: Why does Schrep believe that the "availability of cheap, clean energy is the biggest rate limiter to human progress?" Does Schrep agree with Sam Altman that energy will be the currency of the next decade? Or does he believe Mustafa Suleyman is right and it will soon be free and abundant? How does Schrep predict the next five years for both fusion and nuclear? Why does Schrep believe the next few years will be "messy but with huge opportunity"? 3. Investing in Climate: It has to be Profitable: Why does Schrep believe that markets and not governments or philanthropy will solve the climate challenges we face? What leads Schrep to suggest that the climate change transition is a $10TRN opportunity for investors? What is the single hardest element of investing in climate change solutions today? Why do climate change solutions need to reshape how they market to consumers? How much capital does it take to build a defensible moat in climate? 4. Schrep: The Man Behind Whatsapp and Instagram: AMA: How does Schrep reflect on his own relationship to money? How has it changed? How does Schrep think about what it takes to be a great father? How did Schrep manage the physical stress and pressure of managing engineering for products that serve billions of people in WhatsApp and Instagram?

29 Touko 20241h 10min

20VC: Why Seed is Systemically Broken | Why Pricing is Worse Than Ever and There is More Funding Than Ever | Benchmarks for Churn, Retention and Growth Rates - Good vs Great | Why Last Vintage for Private Equity Will Suck with Jason Lemkin

20VC: Why Seed is Systemically Broken | Why Pricing is Worse Than Ever and There is More Funding Than Ever | Benchmarks for Churn, Retention and Growth Rates - Good vs Great | Why Last Vintage for Private Equity Will Suck with Jason Lemkin

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Today's Episode with Jason Lemkin We Discuss: 1. Growth Rates and Churn Rates: Average/Good/Great: What is a growth rate that would excite Jason in a SaaS company? What is average? What levels of churn would worry Jason to see? What would excite him to see? What does Jason never tolerate when it comes to either growth rate or retention? 2. What Founder Combination Always Wins: Why does Jason believe you cannot lose money on a CEO salesperson and a technical CTO founding partnership? Why does Jason always meet the CTO for a second meeting in the diligence process? What questions does he ask? What do the best CTOs do or say? Why does Jason always want to sell his shares when the founders want to sell? Why does Jason believe that a company is never the same when the founders leave? 3. WTF is Happening in the World of VC: Why does Jason believe that pricing is worse than it has ever been in venture? Why does Jason believe that traditional seed VC is systemically broken? Why are companies getting stuffed with more cash than ever before? What does Jason know now about dilution that he wishes he had known when he started? Why does Jason believe that you should always recycle everything? 4. WTF is Happening in PE and Later Stage Markets: What happens to all the overpriced acquisitions like Zendesk and Salesloft where private equity way overpaid for them, they have no growth and no product innovation? What happens to the generation of public companies like Box, Dropbox and Twilio, all with low growth and little product innovation in the single-digit market caps? Why does Jason believe that Klaviyo is the most undervalued public company today? What does Jason believe will happen to Anaplan with Pigment eating their lunch?

27 Touko 20241h 14min

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