
20VC: Are Foundation Models Becoming Commoditised? Do OpenAI and Anthropic of the World Have a Sustaining Moat? Why Smaller Models May Work Better? Why Incumbents with Data Power Win the AI War with Christian Kleinerman, SVP Product @ Snowflake
Christian Kleinerman is the SVP of Product @ Snowflake. Before Snowflake, Christian spent close to 5 years at Google as a Senior Director of Product Management @ YouTube working on their infrastructure and data systems. Before YouTube, Christian spent over 13 years at Microsoft serving as General Manager of the Data Warehousing product unit where he was responsible for a broad portfolio of products. In Today's Episode with Christian Kleinerman We Discuss: 1. Lessons from the Greats: How did Christian first make his way into the world of product? What are 1-2 of his biggest lessons from working with Satya Nadella and Frank Slootman? What are 1-2 of hs biggest product lessons from Google and Microsoft? 2. Generative AI: Real vs Fake: How does Christian analyze the current generative AI landscape? Which segments will be the fastest to adopt? Which will be the slowest? What aspects of the ecosystems are overblown? Which are under-appreciated? How does Christian respond to many VCs who suggest that many startups are simply wrappers on GPT? 3. Models 101: Why Size is Not Everything! What matters more, the size of the data or the size of the model? Will any of the models used today be used in a year? Does Christian believe Alex @ Nabla is right in saying that "the most successful companies will be those that are able to transition between models the easiest"? How are we seeing the evolution of model size impact the accuracy of result snad size of data required? 4. Incumbent vs startup & Open vs Closed: Who is best positioned to win; startups or incumbents? What are the nuances; which spaces are best served for startups to win vs incumbents? Will open or closed source be the dominant mode? What are the single biggest challenges preventing open from being successful?
22 Syys 202344min

20VC Roundtable: Is the VC Model Broken? The Biggest Disconnect Ever Between TVPI & DPI, Why Market Size is Dangerous, Why "Go Fast" is Terrible Advice, The Dangers of Raising Large Rounds at High Prices & Why Next Year Will See the Biggest Hiring Spree i
Eric Paley is the Managing Partner at Founder Collective, one of the world's most successful seed funds with investments in the likes of Uber, The Trade Desk, Coupang and Airtable. Mike Maples is one of the OGs of seed investing. As the Co-Founder of Floodgate, he has backed the likes of Twitch, Okta, Lyft, Twitter and more. Jason Lemkin is the Founder @ SaaStr one of the best-performing early-stage venture funds with a portfolio including Algolia, Pipedrive, Salesloft, TalkDesk, and RevenueCat to name a few. In Today's Episode on Is the Venture Model Broken? : Is the classic seed model dead? Can seed funds play in a world of $25M valuations? Why is having a firm grasp of the present the best thing an early-stage investor can have? Why does Mike Maples believe no company with true product-market-fit has ever failed? Why does Eric Paley believe "go faster" is the worst startup advice? Why does Mike Maples believe there is a direct relationship between price and risk? Why does Mike Maples believe that outliers by their very nature are lower priced? Why does Eric Paley not focus on ownership? Why can it be dangerous? What are the biggest risks for founders raising at valuations that are too high? Why does Eric Paley believe we will have the biggest chasm between TVPI and DPI in the prior vintage of venture capital returns? Why does Eric believe the majority of SPACs were BS and great companies can always go public? Why does Jason believe that if multiples do not reflate, the venture model is broken? Why does Jason believe we will see the biggest hiring spree in tech next year? How has illiquidity allowed Eric Paley to make some of the best investment decisions? What is Mike Maples biggest lesson from selling Twitter stock early at $1BN?
20 Syys 20231h 17min

20VC: Benchmark General Partner, Miles Grimshaw on The Five Pillars of Venture Capital, Why Data Can Be a Trap When Early-Stage Investing, Investing Lessons from Missing Figma and Plaid & The New Business Model for AI & Why Co-Pilot is an Incumbent Strate
Miles Grimshaw is a General Partner @ Benchmark, widely considered one of the best venture capital firms in history. Prior to joining the Benchmark Partnership, Miles was a General Partner @ Thrive Capital where he led investments in Airtable, Monzo, Lattice, Github, Segment, Slack and Benchling to name a few. In Today's Episode with Miles Grimshaw We Discuss: 1. Straight into VC From University: From Yale to Thrive How did Miles come to land a role with Josh Kushner and Thrive right out of Yale? What are 1-2 of his biggest lessons from working with Josh @ Thrive for 8 years? What does Miles know now that he wishes he had known when he started in venture? 2. The Pillars of Venture Capital: Sourcing, Selecting, Servicing: What does Miles believe are the 5 core pillars of successful venture capital? 1-5, what is his strongest and what is his weakest? Does Miles really believe that VCs add value today? What are the most clear ways that Miles have seen VCs destroy value in portfolio companies? 3. Investment Decision Making: From Github to Segment: What is the single most important question that Miles has to answer to say yes to an investment? How does Miles think about both market sizing risk and market timing risk? What have been Miles' biggest hits? What did he learn from making those investments? What have been Miles' biggest misses? What did he learn from missing Figma and Plaid? What have been 1-2 of Miles's biggest lessons so far from working with Bill Gurley and Peter Fenton? 4. AI: What Happens Next: Does Miles believe we are in an AI bubble today? How does he assess the landscape? Why does Miles believe that the "Co-Pilot" strategy is an incumbent strategy? Where does Miles believe the value will accrue; the application layer or the infrastructure layer? What does Miles mean when he says the future is in "selling the work and not the software"? What business model disruption and adoption disruption does Miles believe AI will enable? Why does Miles believe that the analogy of AI to the rise of mobile is wrong?
18 Syys 20231h 20min

20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents
Richard Socher is the founder and CEO of You.com. Richard previously served as the Chief Scientist and EVP at Salesforce. Douwe Kiela is the CEO of Contextual AI, building the contextual language model to power the future of businesses. Previously, he was the Head of Research at Hugging Face, and before that a Research Scientist at Facebook AI Research. Alex Lebrun is the Co-Founder and CEO of Nabla, an AI assistant for doctors. Prior to Nabla, he led engineering at Facebook AI Research. Alex founded Wit.ai, acquired by Facebook in 2015. Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages. Sarah Guo is the Founding Partner @ Conviction Capital, a $100M first fund purpose-built to serve "Software 3.0" companies. Prior to founding Conviction, Sarah was a General Partner at Greylock where she made investments in the likes of Figma, Coda and Neeva. Emad Mostaque is the Co-Founder and CEO @ StabilityAI, the parent company of Stable Diffusion. Stability are building the foundation to activate humanity's potential. To date, Emad has raised over $110M with Stability with the latest round reportedly pricing the company at $4BN. Clem Delangue is the Co-Founder and CEO @ Hugging Face, the AI community building the future. To date, Clem has raised over $160M from the likes of Sequoia, Coatue, Addition and Lux Capital to name a few. Cris Valenzuela is the CEO and co-founder of Runway, the company that trains and builds generative AI models for content creation. To date, Cris has raised over $285M for the company from the likes of Lux Capital, Felicis, Coatue, Amplify, and Nvidia to name a few. Noam Shazeer is the co-founder and CEO of Character.AI. A renowned computer scientist and researcher, Shazeer is one of the foremost experts in artificial intelligence (AI) and natural language processing (NLP). The Two Most Pressing Questions in AI: What matters more the size of the model or the size of the data? Where does the value accrue in the next 5-10 years; to startups or to incumbents?
15 Syys 202331min

20VC: The Dubsmash Memo: Scaling to 43M Users in 10 Days, Why TikTok Was a Competitor Like Never Seen Before, Good vs Great Consumer Products and What Every Consumer Product Needs & The Future of Consumer Social with Suchit Dash
Suchit Dash is the VP of Core Product Experience at Reddit, responsible for the surfaces that millions of users interact with daily. Prior to Reddit, Suchit was a cofounder at Dubsmash, a short video platform that was used by millions globally and acquired by Reddit in December 2020. In just 10 days, Suchit scaled the product to an immense 43M users, and gained fans such as Neymar and Jimmy Fallon. Suchit previously held roles at Soundcloud and PayPal. In Today's Episode with Suchit Dash We Discuss: 1. The Founding of Dubsmash & V1: How did the founding of Dubsmash come to be? Suchit scaled V1 of the product to 43M users in 10 days, what was the secret? What worked? What were the first signs that all was not right? How did the team respond to the realization that their retention numbers were terrible? What are Suchit's biggest lessons and pieces of advice from this massive V1 and launch? 2. Data: Retention, Cohorts and The Smiley Face: What specific data did Suchit and the team really use to understand their level of product market fit? What level of retention were they looking for? What is average, good, and great in terms of retention in consumer social? What is really important for founders to try and observe and analyze in net new user cohorts? When and why did the team start to see the hailed smiley face of consumer returning to the app? 3. Battling TikTok: Despite the resurgence, TikTok was roaring, what did TikTok do so well to take the market? How did TikTok leverage both FB and Snap's ad platform to acquire so many users so fast? What did TikTok not do well? What could they have done better? How did TikTok pay and incentivize the creator community? What are some of Suchit's biggest lessons and advice for founders battling a better-funded incumbent? 4. The Decision to Sell: Being Acquired by Reddit: Ultimately, why did Suchit decide to sell the company to Reddit? Why did the first two acquisition attempts fail? What are 1-2 of the biggest pieces of advice Suchit has for founders debating whether it is right to sell their company? What do all founders being acquired need to remember? With the benefit of hindsight, if Suchit could do the acquisition process again, what would he do differently?
13 Syys 202355min

20VC: Lessons Building Nubank to the Largest Neobank in the World, How AI Changes The Future of Finance, Leadership Lessons from Sequoia's Doug Leone & What European and US Fintech Can Learn From LATAM with David Velez, Founder @ Nubank
David Velez is the Founder and CEO of Nubank, one of the largest and fastest-growing financial institutions in the world. 1 in 2 people in Brazil alone have a Nubank account. Nubank's purple credit card in Mexico is the highest-rated NPS product of any consumer product in the world. Before founding Nubank in 2013, David was a partner at Sequoia Capital between 2011 and 2013, in charge of the firm's Latin American investments group. Before Sequoia, David worked in investment banking and growth equity at Goldman Sachs, Morgan Stanley and General Atlantic. In Today's Episode with David Velez We Discuss: 1. From Sequoia Partner to Creating One of the Largest Financial Institutions: What was the Sequoia interview process like? What questions did Doug Leone really dive into when hiring David? What impressed David most about how Sequoia interview and win talent? What are 1-2 of David's biggest lessons from working with Doug Leone? 2. From a Small House to a $BN Public Company: What does David believe are the 1-2 core but non-obvious reasons why Nubank scaled so fast? What does David believe are the most non-obvious but massive opportunities Nubank has to 10x from here? Why does David believe emerging market fintech providers will be more valuable than Western fintechs? What does David believe Western fintechs and regulators can learn from BRIC economy fintechs? 3. How AI Changes The Future of Financial Services: How does David believe AI will change financial services? What products are the lowest-hanging fruit? Which products will be harder for AI to serve? How will AI handle the ambiguity of which master to serve; the consumer and their experience or the bank and their fees and profit motive? Will banks need to own and operate their own models? If using other models, what will differentiate them when they are layers on top of someone else's technology? 4. David Velez: The Leader and Father: What does it mean to be a great listener? How does David approach it? What has been David's biggest lessons from Sequoia on culture? What works? What does not? What are David's biggest pieces of advice to raise kids that are not spoiled and are hard-working and humble? How does David think about "efficient giving" with the philanthropy he does today? What is the big paradox and challenge in philanthropy today?
11 Syys 20231h 4min

20Sales: Why Everyone is Responsible for Demand Generation, How to do Great Sales Discovery, How to Reduce Sales Cycles and Create Urgency and Deal Reviews; Good and Bad Reasons to Lose a Deal with Doug Adamic, CRO @ Brex
Doug Adamic is the CRO @ Brex and leads the company's revenue and growth strategy. Prior to Brex, Doug was most recently the Chief Revenue Officer at SAP Concur, a provider of travel spend management solutions and services. During his 16-year tenure oversaw an organization of 600+ employees. He was responsible for all aspects of revenue, generating go-to-market strategies and departments. Prior to SAP Concur, he had a five-year tenure as an Enterprise Sales Manager for Kronos, Inc. In Today's Episode with Doug Adamic We Discuss: 1. Entry into Sales: Does Doug believe that love of sales is innate or can be learned? When did he discover his love? What does Doug know now about sales he wish he had known when he started? What are 1-2 of his biggest takeaways from leading 600+ people at SAP? 2. Discovery, Pipeline and Qualification: What are the three core reasons why companies buy software today? How do the best sales teams use those needs to get deals done fast? What does great sales discovery mean today? Why do you have to make customers feel uncomfortable to understand their true needs? What are the biggest mistakes sales teams make when asking questions, determining customer pain, willingness to pay etc etc? Why does Doug believe that everyone in the company is responsible for demand creation? What are the core pillars to success in qualification? Where do so many go wrong? 3. Getting Deals Done: Why does Doug disagree that now is the hardest time to be selling? Are companies buying new software today? What is the secret to opening up organizations that say they are not open for buying new software? How can sales teams create multiple champions in a prospect? How can they determine who is really a buyer vs who is an influencer in a prospect? What are the biggest tactics that can be used to reduce sales cycles and create urgency in a sales process? 4. Discounting, Trust and Deal Reviews: What is a good reason to lose a deal? What is a bad reason to lose a deal? How does Doug and Brex conduct deal reviews? What makes a good vs a bad deal review? What is the fastest way to lose trust either with prospects or with customers? Why does Doug believe discounting is BS and should not be used?
8 Syys 202353min

20VC: Why Small Funds Outperform Large Funds & AUM is a Vanity Metric | Why 99% of Investments in AI Startups Will Go To Zero | Being a "Traction First" VC & Investing Lessons from Investing in Canva and Missing Figma with Nikhil Basu-Trivedi
Nikhil Basu Trivedi is Co-Founder & General Partner at Footwork, an early-stage focused venture firm investing its first fund. In his venture career, he has invested in the early rounds of several companies that have exited or are currently valued at over $1B, including Athelas, Canva, ClassDojo, Color Health, Frame.io, Imperfect Foods, Lattice, and The Farmer's Dog. Prior to Footwork, Nikhil was a Managing Director at Shasta Ventures, on the investment team at Insight Partners, and on the founding team at Artsy. In Today's Episode with Nikhil Basu Trivedi We Discuss: 1. From Summer Intern to Founding a Firm: The 13 Year Journey: How did Nikhil first make his way into venture as an intern at Insight Partners in NYC? What does Nikhil know now that he wishes he had known on his first day in venture? Why does Nikhil advise all young VCs to "not look at their business card"? Why does title not matter in venture? Should founders meet with Juniors as well as GPs and more senior people? 2. Small Funds Outperform Large Funds: Why does Nikhil believe that small funds outperform large funds? Why is AUM the biggest bullshit metric in VC? How does Nikhil advise seed stage founders who have offers from seed firms for smaller rounds at lower valuations and are weighing them against larger rounds with higher valuations from multi-stage funds? Does Nikhil believe that platform value-added services really provide any value? 3. The Art of Investing: What has been Nikhil's biggest investing win? How has it changed his approach to investing? How does Nikhil prioritize between people, traction, and market? What is most important? What has been Nikhil's biggest investing miss? How has that changed his approach? Does Nikhil believe the great founders are immediately obvious? Why is market size the single question that keeps Nikhil up the most? 4. The Dysfunctions of Venture Capital: What are the single biggest areas of misalignment between GP and LP? What do many GPs see and know well that LPs should know and see more of? What are the biggest ways that decision-making breaks down in a venture fund? Why does Nikhil believe that so much of the investment in AI is going to go up in flames?
6 Syys 20231h






















