20VC: Startups Fail Because They Do Not Take Enough Risk, Why A/B Testing is Inefficient and Slows You Down, Why It is Impossible To Hire Good PMs so Stop Trying & 3 Key Signals The Best Engineers Present with Grant LaFontaine, Founder & CEO @ Whatnot
Jaksokuvaus
Grant LaFontaine is the Founder & CEO @ Whatnot, the fastest-growing marketplace in the US, empowering people to make a living off their passion. To date, Grant has raised over $225M for Whatnot from the likes of CapitalG, a16z, YC, Scribble Ventures and Wonder Ventures to name a few. Prior to Whatnot, Grant was a PM @ Facebook working on the Oculus App Store and before that was the founder of Kit.com, ultimately acquired by Patreon. In Today’s Episode with Grant LaFontaine You Will Learn: 1.) The Founding of Whatnot: How did Grant make his way into the world of tech and startups? What were some of his biggest lessons from Facebook? How did that impact how he has built Whatnot? 2.) Impossible To Hire Product Managers: Why does Grant believe it is impossible to hire product managers today? How does this impact the decision-making powers of engineers? How does Grant test for this product knowledge in all engineers he adds to the team? What are clear signals of 10x engineers in hiring processes? 3.) A/B Testing and Risk Mindset: Why does Grant not believe in the effectiveness of A/B testing? Why does it not work? Why does Grant believe one of the biggest reasons for startups failing is they do not take enough risk? How does Grant try to ensure that his team takes as much risk as possible with everything that they do? How does mindset to risk change with scale of company and with leadership? 4.) AMA: Why does Grant disagree with founders angel investing? What are the biggest challenges Whatnot has faced in scaling? CEO coach? Who? When? What is the biggest lesson? What is the single driving metric of Whatnot? How does Grant advise founders to determine their North Star metric? Item’s Mentioned In Today’s Episode with Grant LaFontaine Grant’s Favourite Book: Foundation: 1/3 (Foundation Trilogy)
Uusimmat jaksot
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: 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: 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: 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: 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
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
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: 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
20Product: Loom CPO Janie Lee on Three Core Skills that Make the Best PMs, How to Find, Pick and Train the Best PM Talent and Lessons from OpenDoor and Rippling on Product Breadth, Pricing and Talent Density
