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The accounting services industry has historically been 1) underserved by technology and 2) constrained by capacity, not demand. Founders Arush Jain, Pranav Pillai, and Vinay Kasat saw this as an opportunity. They brought together their backgrounds in private equity M&A, forward-deployed software engineering, and growth operations. In doing so,...

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12,509 次观看 • 3 个月前 •via X (Twitter)

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Avoca (W23) is building what it calls the AI workforce for the physical economy, starting with home services. In just a few years, the company has grown to eight figures in revenue and recently raised over $125 million at a $1 billion valuation. In this fireside, co-founders Apurva Shrivastava and Tyson Chen sit down with Garry Tan to share how they found product-market fit by helping businesses turn missed calls into revenue. They explain why AI is expanding what software can do, pushing past the 1% of wallet that traditional software captures, and why they see it as one of the biggest opportunities for founders. 01:28 - Finding the Right Market 03:25 - Why AI Is Bigger Than SaaS 06:59 - The AI Job Story Nobody Talks About 11:53 - How the Founders Met 16:59 - The Pivot 21:47 - Customer Love Beats Market Size 25:31 - Building an AI Workforce 29:35 - Why Customer Obsession Wins 34:12 - Growing to Eight Figures 37:22 - The Vision Beyond Home Services 38:54 - Building a Generational Company
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Avoca (W23) is building what it calls the AI workforce for the physical economy, starting with home services. In just a few years, the company has grown to eight figures in revenue and recently raised over $125 million at a $1 billion valuation. In this fireside, co-founders Apurva Shrivastava and Tyson Chen sit down with Garry Tan to share how they found product-market fit by helping businesses turn missed calls into revenue. They explain why AI is expanding what software can do, pushing past the 1% of wallet that traditional software captures, and why they see it as one of the biggest opportunities for founders. 01:28 - Finding the Right Market 03:25 - Why AI Is Bigger Than SaaS 06:59 - The AI Job Story Nobody Talks About 11:53 - How the Founders Met 16:59 - The Pivot 21:47 - Customer Love Beats Market Size 25:31 - Building an AI Workforce 29:35 - Why Customer Obsession Wins 34:12 - Growing to Eight Figures 37:22 - The Vision Beyond Home Services 38:54 - Building a Generational Company

Y Combinator

81,213 次观看 • 15 天前

My guests on Uncapped this week are Kevin Hartz and Bennett Siegel, co-founders of the early stage VC firm A*. They've backed companies like Notion, Mercor, Ramp, Decagon, Similie, and many more. They also announced a new $450m fund today. We discussed the state of venture capital firms in the current AI cycle, what it means for seed specialists, trends with great founders, and what they're seeing in AI. Timestamps: (0:00) Intro (0:25) The A* Capital story (1:16) Why big funds went into seed (7:50) The mother of all bubbles (10:46) Why founders are getting younger (13:00) Mapping talent, not markets (16:31) The rise of AI researcher founders (19:16) Why seed investing is so hard (22:54) Concentration and venture returns (27:34) The AI rollup craze (31:15) AI vs traditional software (33:15) Robotics and the future of AI (35:39) What’s next for A*
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My guests on Uncapped this week are Kevin Hartz and Bennett Siegel, co-founders of the early stage VC firm A*. They've backed companies like Notion, Mercor, Ramp, Decagon, Similie, and many more. They also announced a new $450m fund today. We discussed the state of venture capital firms in the current AI cycle, what it means for seed specialists, trends with great founders, and what they're seeing in AI. Timestamps: (0:00) Intro (0:25) The A* Capital story (1:16) Why big funds went into seed (7:50) The mother of all bubbles (10:46) Why founders are getting younger (13:00) Mapping talent, not markets (16:31) The rise of AI researcher founders (19:16) Why seed investing is so hard (22:54) Concentration and venture returns (27:34) The AI rollup craze (31:15) AI vs traditional software (33:15) Robotics and the future of AI (35:39) What’s next for A*

Jack Altman

57,229 次观看 • 2 个月前

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Substack co-founder and CEO Chris Best (Chris Best) is building the publishing platform for independent creators — one where creators succeed by serving their communities. Millions of people now use the app every week, paying for the work they value and fueling a new economic engine for culture. On the Social Radars, Chris shares how a failed essay became their founding manifesto, why their first writer made $100K on day one, and what it means to stay in founder mode while building a platform that reshapes the future of media. 01:05 – The Essay That Sparked Substack 03:00 – $100K on Day One 05:10 – Early Struggles and Conviction to Continue 08:00 – Why Substack Resonated with Writers 11:00 – From Tool to Network Effect 14:20 – Business Model and Growth Levers 17:40 – Substack’s Place in the Media Landscape 21:00 – Building Notes and Clashing with Elon Musk 24:00 – Lessons in Staying in Founder Mode 26:20 – Long-Term Vision for Substack

Y Combinator

24,955 次观看 • 10 个月前

While active at Benchmark, Bill Gurley would give an annual “state of the markets” presentation to his investors. This conversation renews that format, with Bill exploring what he sees as both worrying and exciting about the investing landscape, with a special focus on private assets. Timestamps 0:00 Intro 0:23 State of the Union: VC Edition 2:58 The Rise of Mega VC Funds 4:38 Zombie Unicorns 12:29 The IPO and M&A Market Stalemate 19:08 The AI Wave and Its Impact 21:03 Private Markets and LP Liquidity Issues 24:57 The Future of Capital Markets 32:49 Advice for Founders in a Changing Landscape 34:27 The High-Stakes Game of Capital Battles 37:57 Challenges & Opportunities in AI Revenue Models 39:37 The Role of Founders in the AI Revolution 41:44 The Impact of Time and Liquidity on Venture Capital 45:35 Navigating the Future of Venture Capital 53:45 International Dynamics in the AI Race 1:08:58 Advice for Founders in the AI Era
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While active at Benchmark, Bill Gurley would give an annual “state of the markets” presentation to his investors. This conversation renews that format, with Bill exploring what he sees as both worrying and exciting about the investing landscape, with a special focus on private assets. Timestamps 0:00 Intro 0:23 State of the Union: VC Edition 2:58 The Rise of Mega VC Funds 4:38 Zombie Unicorns 12:29 The IPO and M&A Market Stalemate 19:08 The AI Wave and Its Impact 21:03 Private Markets and LP Liquidity Issues 24:57 The Future of Capital Markets 32:49 Advice for Founders in a Changing Landscape 34:27 The High-Stakes Game of Capital Battles 37:57 Challenges & Opportunities in AI Revenue Models 39:37 The Role of Founders in the AI Revolution 41:44 The Impact of Time and Liquidity on Venture Capital 45:35 Navigating the Future of Venture Capital 53:45 International Dynamics in the AI Race 1:08:58 Advice for Founders in the AI Era

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388,953 次观看 • 1 年前

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At 23, with no legal background, Max Junestrand co-founded Legora to transform how lawyers work. Today, Legora’s AI workspace is used by tens of thousands of lawyers across Europe—valued at $675M just 13 months after launch. From due diligence grids that turn days of work into minutes, to Word integrations that renegotiate contracts, Max sat down with Gustaf Alströmer to share how Legora won over skeptical firms, scaled from 10 to 100 people, and built a new category in legal AI. 00:45 – Legora's Origin Story 01:00 – Building an AI Workspace for Lawyers 02:20 – The GPT Unlock 04:10 – The “Aha Moment” with Law Firms 06:15 – Raising $80M and Scaling Fast 06:30 – How Legora Works 09:40 – How It Transforms Legal Work 11:40 – Selling To AI Skeptics 14:40 – Creative Use Cases: From Court Battles to NDAs 17:30 – Starting Without Industry Expertise 18:40 – Interviewing 100 Lawyers 20:30 – Competing with Legacy Legal Tech Giants 23:50 – Tech Stack and Model Strategy 25:00 – Who Actually Buys AI inside a Law Firm? 27:00 – Cracking Sales in Conservative Industries 28:00 – Max’s Background: From eSports to Startups 30:50 – Hypergrowth: 10 → 100 People in 13 Months 34:00 – Why Hiring Ex-Founders Works 36:45 – The Future Job of a Lawyer 38:35 – What PMF Felt Like 39:45 – Why They Stayed in Stockholm (Not SF) 41:00 – Becoming the Category Leader in Legal AI 42:00 – Advice for Founders Building Vertical AI Companies 43:20 – What It’s Like to Work at Legora

Y Combinator

185,285 次观看 • 10 个月前

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In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

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77,233 次观看 • 9 个月前

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In this special live event, Founders In Arms Podcast brings together a room full of founders at Mercury's San Francisco headquarters for an intimate conversation about building, investing, and the future of AI. Max Mullen is co-founder at Instacart, where he led product and grew it from a contrarian idea into the leader in online grocery delivery and eventually a publicly traded company. Now Max Mullen is an active investor and runs a founder community in San Francisco called Workshop. Max shares lessons from over a decade of building and his perspective on AI's transformative potential. In this episode, we cover: (00:00) Welcome to the first live Founders in Arms event at Mercury HQ (00:43) Introduction to Max Mullen and his early investment in Mercury (03:58) Max's origin story and first startup at Startup Weekend (04:36) Building a social network and getting acquihired (05:39) The path from acquihire to founding Instacart (06:19) Why Max wanted to solve real-world operational problems (07:17) Starting Instacart when there was no gig economy (09:15) Overcoming the "grocery delivery is dead" narrative (11:48) Market timing and why Webvan was too early (14:37) Being a non-technical co-founder in a technical role (17:45) The PARE framework for building company culture (22:09) Max's approach to M&A at Instacart (24:00) The Caper smart shopping cart acquisition story (25:31) How founders can position for acquisition (28:26) Why product-market fit attracts acquirers (29:46) Evaluating investments: market size vs. founder quality (32:54) Max and Immad's differing investment philosophies (35:39) The current state of VC funding and AI companies (36:51) The three best times to raise money as a founder (39:15) Instacart's seasonal business patterns and fundraising timing (39:59) The most interesting opportunities in AI right now (40:24) Why every profession will have AI agent co-pilots (41:44) What AI-native companies will look like for the next generation

Rajat Suri

143,877 次观看 • 5 个月前

Warp (YC W23) recently announced a $60M Series B and now serves more than 1,000 customers, processing over $600M in payroll annually and on track to surpass $2B in the next year. In this episode of Founder Firesides, YC's Harj Taggar sits down with Warp founder and CEO Ayush Sharma (Ayush S) to talk about how the company found its way into one of enterprise software's most competitive markets and why AI is fundamentally changing how software companies should be built. 00:50 - From India to MIT 03:10 - Betting on an Unsexy Problem 05:18 - The Wedge That Started Warp 09:49 - What "AI-Native" Really Means 12:31 - Building a Different Kind of Company 14:00 - Why AI Favors Technical Founders 16:42 - The Next Generation of Enterprise Software 21:25 - Why Investors Backed Warp 25:11 - The Future of Employee Management
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Warp (YC W23) recently announced a $60M Series B and now serves more than 1,000 customers, processing over $600M in payroll annually and on track to surpass $2B in the next year. In this episode of Founder Firesides, YC's Harj Taggar sits down with Warp founder and CEO Ayush Sharma (Ayush S) to talk about how the company found its way into one of enterprise software's most competitive markets and why AI is fundamentally changing how software companies should be built. 00:50 - From India to MIT 03:10 - Betting on an Unsexy Problem 05:18 - The Wedge That Started Warp 09:49 - What "AI-Native" Really Means 12:31 - Building a Different Kind of Company 14:00 - Why AI Favors Technical Founders 16:42 - The Next Generation of Enterprise Software 21:25 - Why Investors Backed Warp 25:11 - The Future of Employee Management

Y Combinator

499,228 次观看 • 18 天前

Introducing the first episode of the Legion Rally podcast with @D0itdifferent & . Crypto founders will come on the show to pitch their project and get questions/feedback from Legion co-founders, as well as viewers. For the first episode, they chat with Kelmat (João Moreira), CEO of Mystic Finance, to explore how RWA tokenization is reshaping DeFi lending. Time stamps below. 00:00 - Introductions 03:06 - João's Journey to Mystic Finance 03:48 - Challenges in the Crypto Space 04:26 - The Liquidation Problem 07:08 - Focus on Tokenized Funds 09:11 - Product Overview 15:07 - Market Trends and Growth 18:14 - Scaling for Large Players 19:50 - Benefits of On-Chain Assets 27:51 - Customer Base and Revenue Model 29:37 - Go-To-Market Strategy 33:41 - Business Model Overview 35:39 - Fundraising Plans 36:13 - Closing Remarks
36:51

Introducing the first episode of the Legion Rally podcast with @D0itdifferent & . Crypto founders will come on the show to pitch their project and get questions/feedback from Legion co-founders, as well as viewers. For the first episode, they chat with Kelmat (João Moreira), CEO of Mystic Finance, to explore how RWA tokenization is reshaping DeFi lending. Time stamps below. 00:00 - Introductions 03:06 - João's Journey to Mystic Finance 03:48 - Challenges in the Crypto Space 04:26 - The Liquidation Problem 07:08 - Focus on Tokenized Funds 09:11 - Product Overview 15:07 - Market Trends and Growth 18:14 - Scaling for Large Players 19:50 - Benefits of On-Chain Assets 27:51 - Customer Base and Revenue Model 29:37 - Go-To-Market Strategy 33:41 - Business Model Overview 35:39 - Fundraising Plans 36:13 - Closing Remarks

LEGION

28,569 次观看 • 9 个月前

BREAKING: How Qasar Younis (CEO) & Peter Ludwig (CTO) Quietly Built Applied Intuition into a Serious $15B Physical AI Giant “Most companies in the Bay Area are more hobby projects than they are serious businesses.” → $1B+ raised.. barely touched → AI for cars, agriculture, mining, defense, machines → 18/20 top automakers as customers We cover: • Why physical AI is fundamentally different from software AI • How breakthroughs like transformers unlocked real-world autonomy • The company’s horizontal-first strategy across industries • Why they stayed quiet for years.. & why that changed • How they deploy autonomy in defense and industrial environments • What hiring looks like in the AI era 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Qasar Younis & Peter, Co-Founders Applied Intuition (01:15) Most startups are just "hobby projects" (03:55) Becoming more public (07:33) The breakthroughs that reshaped their strategy (11:01) A moon rover simulator? (11:37) Expansion playbook (13:55) Raised $1B… Didn’t Use It (15:04) Hiring in the AI era (18:17) A team full of ex-founders and CTOs (19:28) From manual to autonomous in 10 days (23:18) Why great products drive results (25:44) Books that shape thinking & why old books matter (29:38) Turning books into company playbooks
32:06

BREAKING: How Qasar Younis (CEO) & Peter Ludwig (CTO) Quietly Built Applied Intuition into a Serious $15B Physical AI Giant “Most companies in the Bay Area are more hobby projects than they are serious businesses.” → $1B+ raised.. barely touched → AI for cars, agriculture, mining, defense, machines → 18/20 top automakers as customers We cover: • Why physical AI is fundamentally different from software AI • How breakthroughs like transformers unlocked real-world autonomy • The company’s horizontal-first strategy across industries • Why they stayed quiet for years.. & why that changed • How they deploy autonomy in defense and industrial environments • What hiring looks like in the AI era 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Qasar Younis & Peter, Co-Founders Applied Intuition (01:15) Most startups are just "hobby projects" (03:55) Becoming more public (07:33) The breakthroughs that reshaped their strategy (11:01) A moon rover simulator? (11:37) Expansion playbook (13:55) Raised $1B… Didn’t Use It (15:04) Hiring in the AI era (18:17) A team full of ex-founders and CTOs (19:28) From manual to autonomous in 10 days (23:18) Why great products drive results (25:44) Books that shape thinking & why old books matter (29:38) Turning books into company playbooks

Molly O’Shea

136,292 次观看 • 3 个月前

A former lawyer turned founder, Jake Heller set out to make legal work faster, fairer, and more accessible through AI with Casetext (acquired by Thomson Reuters for $650M in 2023). On the Social Radars, he shares how a weekend with an early version of GPT-4 convinced him to pivot the entire company, what it means to be in founder mode during moments of extreme technological change, and how a decade of grinding led to one of the biggest exits in legal tech. 01:20 – Founding Casetext 03:10 – Early Struggles in Legal Tech 06:00 – The Decade-Long Grind to PMF 08:15 – A Weekend with GPT-4 That Changed Everything 11:30 – Pivoting the Company Around AI 14:40 – Building Trust in AI for Legal Work 17:50 – Scaling Casetext to Thousands of Firms 21:10 – Acquisition by Thomson Reuters for $650M 24:00 – What It Means to Stay in Founder Mode 26:20 – Lessons for Founders in Highly Regulated Industries 28:10 – The Future of AI and the Law
23:41

A former lawyer turned founder, Jake Heller set out to make legal work faster, fairer, and more accessible through AI with Casetext (acquired by Thomson Reuters for $650M in 2023). On the Social Radars, he shares how a weekend with an early version of GPT-4 convinced him to pivot the entire company, what it means to be in founder mode during moments of extreme technological change, and how a decade of grinding led to one of the biggest exits in legal tech. 01:20 – Founding Casetext 03:10 – Early Struggles in Legal Tech 06:00 – The Decade-Long Grind to PMF 08:15 – A Weekend with GPT-4 That Changed Everything 11:30 – Pivoting the Company Around AI 14:40 – Building Trust in AI for Legal Work 17:50 – Scaling Casetext to Thousands of Firms 21:10 – Acquisition by Thomson Reuters for $650M 24:00 – What It Means to Stay in Founder Mode 26:20 – Lessons for Founders in Highly Regulated Industries 28:10 – The Future of AI and the Law

Y Combinator

144,202 次观看 • 9 个月前

Georgia Election Hearing Showing Evidence The State NEVER PERFORMED Their 2020 Presidential Election Audits 🚨 “Secretary of State told them that this audit took place. Well, I asked them. How many counties told you the audit took place?” “ZERO — ZERO AUDITS PERFORMED” “Evidence suggests that there was never a voting machine election audit performed in Georgia. Why is that so important? Well, we all know Georgia was a key state in determining the 2020 election results. The article goes on to say, on November 17, 2020, Georgia secretary of state Brad Raffensperger made an announcement that an audit using forensic techniques was completed with, quote, no sign of foul play, end quote, in the 2020 election. The statement previously appeared on the secretary of state's website and is still available via the Wayback Machine here. The article links up will bring it up on screen for the viewers right now. It goes on to say from the statement, secretary of state Brad Raffensperger last week ordered Pro V and V, a US election assistance commission certified testing laboratory to do an audit of random sample of machines to confirm no hack or tamper. Pro V and V found no evidence of the machines being tampered. However, the problem is that besides a watered down audit report. There is little to no evidence that this audit actually took place. The following was from a public comment of yesterday's state election board meeting in Georgia. Take a listen. Secretary of state told 42 false statements to the United States Congress and The vice president. So within that document was the Provian v audit. He told us, the citizens, he told the SEB, he's told many courts that this Pro v and v audit took place. I worked with governor Kemp. I worked with Evan Myers, one of his, uh, attorneys. I worked with the inspector general, Scott McAfee. And they try to convince me that the secretary of state and Pro V and V told them that this audit took place. Well, I asked them. How many counties told you the audit took place? 0. We did open records request to the counties, and it came back where 0 audits were done by Pro V and V. So now we're making decisions. Our legislators are making decisions on an audit that never took place. Thank you for your comments. Thank you.” This video is over 6 minutes so I can’t transcribe it all due to X’s text limits but it’s another excellent listen!!
6:09

Georgia Election Hearing Showing Evidence The State NEVER PERFORMED Their 2020 Presidential Election Audits 🚨 “Secretary of State told them that this audit took place. Well, I asked them. How many counties told you the audit took place?” “ZERO — ZERO AUDITS PERFORMED” “Evidence suggests that there was never a voting machine election audit performed in Georgia. Why is that so important? Well, we all know Georgia was a key state in determining the 2020 election results. The article goes on to say, on November 17, 2020, Georgia secretary of state Brad Raffensperger made an announcement that an audit using forensic techniques was completed with, quote, no sign of foul play, end quote, in the 2020 election. The statement previously appeared on the secretary of state's website and is still available via the Wayback Machine here. The article links up will bring it up on screen for the viewers right now. It goes on to say from the statement, secretary of state Brad Raffensperger last week ordered Pro V and V, a US election assistance commission certified testing laboratory to do an audit of random sample of machines to confirm no hack or tamper. Pro V and V found no evidence of the machines being tampered. However, the problem is that besides a watered down audit report. There is little to no evidence that this audit actually took place. The following was from a public comment of yesterday's state election board meeting in Georgia. Take a listen. Secretary of state told 42 false statements to the United States Congress and The vice president. So within that document was the Provian v audit. He told us, the citizens, he told the SEB, he's told many courts that this Pro v and v audit took place. I worked with governor Kemp. I worked with Evan Myers, one of his, uh, attorneys. I worked with the inspector general, Scott McAfee. And they try to convince me that the secretary of state and Pro V and V told them that this audit took place. Well, I asked them. How many counties told you the audit took place? 0. We did open records request to the counties, and it came back where 0 audits were done by Pro V and V. So now we're making decisions. Our legislators are making decisions on an audit that never took place. Thank you for your comments. Thank you.” This video is over 6 minutes so I can’t transcribe it all due to X’s text limits but it’s another excellent listen!!

Wall Street Apes

186,812 次观看 • 2 年前

“Founders aren’t made when they start companies. They’re made when they interpret their market correctly.” Episode 2 of Knuckle Up with Nakul is live. Qasar Younis (Qasar Younis): Founder and CEO of Applied Intuition. One of the sharpest and most intentional operators you’ll ever meet on the craft of building a company. Full episode ↓ -- 00:00 Intro 01:19 What really makes someone a founder 05:26 The company that almost became Kickstarter 08:12 The most common misread on feedback 13:40 Why most founders don't end up with the best team 19:45 How to pick a co-founder 23:38 Your first 10 hires are really your first 100 28:21 The case for hiring slow and firing slow 33:22 Red, yellow, green: how Applied gives monthly feedback 35:00 The role that knows what’s actually going on in a company 40:01 How to operate with speed and intentionality 42:41 The three things Qasar spends time on 45:57 How Applied is driving AI adoption 52:06 The type of engineer Applied is now looking for 1:01:19 Why this could be the golden age of small companies 1:09:13 Quickfire: red flags, overrated advice, and superpowers 1:12:32 Qasar's advice to his 25-year-old self
1:13:20

“Founders aren’t made when they start companies. They’re made when they interpret their market correctly.” Episode 2 of Knuckle Up with Nakul is live. Qasar Younis (Qasar Younis): Founder and CEO of Applied Intuition. One of the sharpest and most intentional operators you’ll ever meet on the craft of building a company. Full episode ↓ -- 00:00 Intro 01:19 What really makes someone a founder 05:26 The company that almost became Kickstarter 08:12 The most common misread on feedback 13:40 Why most founders don't end up with the best team 19:45 How to pick a co-founder 23:38 Your first 10 hires are really your first 100 28:21 The case for hiring slow and firing slow 33:22 Red, yellow, green: how Applied gives monthly feedback 35:00 The role that knows what’s actually going on in a company 40:01 How to operate with speed and intentionality 42:41 The three things Qasar spends time on 45:57 How Applied is driving AI adoption 52:06 The type of engineer Applied is now looking for 1:01:19 Why this could be the golden age of small companies 1:09:13 Quickfire: red flags, overrated advice, and superpowers 1:12:32 Qasar's advice to his 25-year-old self

Nakul Mandan

521,414 次观看 • 2 个月前

Stablecoins are looking to be the future of money; the infrastructure just needs to catch up. In this episode of The Investment Memo, Aaron Frank sits down with farooq 🌧 and Charles Yoo-Naut (🌧️,🌧️), Co-Founders of Rain, to discuss building the payments infrastructure that connects stablecoins to the real world. The Highlights: • Why central banks and users already treat stablecoins as money, even when the rails don't support it yet. • How Rain went from a side project solving ACH pain to becoming the card issuance platform powering Stablecoin payments globally. • Building in a greenfield space with no playbook, where regulations are evolving and every feature requires first principles thinking. • Maintaining velocity through acquisitions, staying lean until product-market fit, and hiring for agency over credentials. Huge congratulations to the entire Rain team on raising $250M! 0:00 Welcome, Farooq Malik and Charles Yoo-Naut! 1:40 How the Rain Founders Met 3:41 Early "Aha" Moments 6:19 From Sign & Wire to Building Rain 9:07 Connecting Stablecoins to Card Networks 13:07 Navigating Regulation and the First Card Issuance 15:08 What Rain Looks Like Today 16:34 Adoption Beyond Crypto-Native Companies 17:14 Unexpected Customer Use Cases 18:44 Building Fintech Without a Playbook 20:44 The Long-Term Vision 22:28 Co-Founder Dynamics 25:03 Hiring for High Agency and Low Ego 26:43 Executing Successful Acquisitions Early 29:40 What Makes a Great Partnership for Rain 31:48 Choosing the Right Investment Partners 33:26 Staying Aligned as Co-Founders 36:40 Lessons Learned Looking Back to 2022 39:20 Advice for First-Time Founders 41:59 Finding Advisors Who Give Honest Feedback
43:08

Stablecoins are looking to be the future of money; the infrastructure just needs to catch up. In this episode of The Investment Memo, Aaron Frank sits down with farooq 🌧 and Charles Yoo-Naut (🌧️,🌧️), Co-Founders of Rain, to discuss building the payments infrastructure that connects stablecoins to the real world. The Highlights: • Why central banks and users already treat stablecoins as money, even when the rails don't support it yet. • How Rain went from a side project solving ACH pain to becoming the card issuance platform powering Stablecoin payments globally. • Building in a greenfield space with no playbook, where regulations are evolving and every feature requires first principles thinking. • Maintaining velocity through acquisitions, staying lean until product-market fit, and hiring for agency over credentials. Huge congratulations to the entire Rain team on raising $250M! 0:00 Welcome, Farooq Malik and Charles Yoo-Naut! 1:40 How the Rain Founders Met 3:41 Early "Aha" Moments 6:19 From Sign & Wire to Building Rain 9:07 Connecting Stablecoins to Card Networks 13:07 Navigating Regulation and the First Card Issuance 15:08 What Rain Looks Like Today 16:34 Adoption Beyond Crypto-Native Companies 17:14 Unexpected Customer Use Cases 18:44 Building Fintech Without a Playbook 20:44 The Long-Term Vision 22:28 Co-Founder Dynamics 25:03 Hiring for High Agency and Low Ego 26:43 Executing Successful Acquisitions Early 29:40 What Makes a Great Partnership for Rain 31:48 Choosing the Right Investment Partners 33:26 Staying Aligned as Co-Founders 36:40 Lessons Learned Looking Back to 2022 39:20 Advice for First-Time Founders 41:59 Finding Advisors Who Give Honest Feedback

Lightspeed

28,089 次观看 • 5 个月前

"What's drawn people together for thousands of years is stories." My full conversation with Phil & Dom, co-founders of EasyA - the Duolingo for blockchain, with over a million users learning crypto. We covered what it's really like building a company with your brother, why they left promising careers in finance and law, their partnerships with Ripple, Solana and Sui, why crypto matters in a post-quantum AI world, and why every brand will need a face to survive. 00:00 Intro 01:03 How This Pod Happened 03:20 Printing the Bitcoin Whitepaper at 16 05:11 Mining Bitcoin From the Basement 06:12 Wharton, Blackstone and Sullivan & Cromwell 07:55 What It's Like Building With Your Brother 28:47 The UK vs US Talent Drain 29:04 Their Friend Who Ran AI Safety at Anthropic 36:29 EasyA Is the Duolingo for Blockchain 38:06 Why They Teach Stories, Not Code 46:34 The Business Model and EasyA Labs 50:31 Why Crypto Solves the AI Trust Problem 54:04 Why Every Brand Needs a Face
1:04:35

"What's drawn people together for thousands of years is stories." My full conversation with Phil & Dom, co-founders of EasyA - the Duolingo for blockchain, with over a million users learning crypto. We covered what it's really like building a company with your brother, why they left promising careers in finance and law, their partnerships with Ripple, Solana and Sui, why crypto matters in a post-quantum AI world, and why every brand will need a face to survive. 00:00 Intro 01:03 How This Pod Happened 03:20 Printing the Bitcoin Whitepaper at 16 05:11 Mining Bitcoin From the Basement 06:12 Wharton, Blackstone and Sullivan & Cromwell 07:55 What It's Like Building With Your Brother 28:47 The UK vs US Talent Drain 29:04 Their Friend Who Ran AI Safety at Anthropic 36:29 EasyA Is the Duolingo for Blockchain 38:06 Why They Teach Stories, Not Code 46:34 The Business Model and EasyA Labs 50:31 Why Crypto Solves the AI Trust Problem 54:04 Why Every Brand Needs a Face

JackGK

26,719 次观看 • 27 天前

How has the day-to-day workflow of Mitchell Hashimoto (Mitchell Hashimoto) changed, thanks to AI tools? Timestamps: 00:00 Intro 07:19 HashiCorp origins 18:22 The 2010s startup scene in SF 23:11 Funding HashiCorp 25:23 The "Hashi stack" 38:28 The open-core pivot 48:08 Taking HashiCorp public 51:58 The almost-VMware acquisition 59:10 Mitchell’s take on AWS, GCP and Azure 01:06:02 AI’s impact on open source 01:07:00 Ghostty 01:19:13 How Mitchell uses AI 01:28:36 Open source + AI 01:31:46 The problem of Git and monorepos 01:39:57 Mitchell’s hiring practices 01:47:52 Mitchell’s AI adoption journey 01:50:41 Advice to future founders 01:55:03 Closing Also on YouTube, Spotify and Apple (see the next tweet) Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd: • WorkOS – Everything you need to make your app enterprise ready.
1:58:23

How has the day-to-day workflow of Mitchell Hashimoto (Mitchell Hashimoto) changed, thanks to AI tools? Timestamps: 00:00 Intro 07:19 HashiCorp origins 18:22 The 2010s startup scene in SF 23:11 Funding HashiCorp 25:23 The "Hashi stack" 38:28 The open-core pivot 48:08 Taking HashiCorp public 51:58 The almost-VMware acquisition 59:10 Mitchell’s take on AWS, GCP and Azure 01:06:02 AI’s impact on open source 01:07:00 Ghostty 01:19:13 How Mitchell uses AI 01:28:36 Open source + AI 01:31:46 The problem of Git and monorepos 01:39:57 Mitchell’s hiring practices 01:47:52 Mitchell’s AI adoption journey 01:50:41 Advice to future founders 01:55:03 Closing Also on YouTube, Spotify and Apple (see the next tweet) Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd: • WorkOS – Everything you need to make your app enterprise ready.

Gergely Orosz

59,544 次观看 • 4 个月前

ElevenLabs CEO: Why Voice is the Next AI Interface ElevenLabs is one of the most interesting companies in AI today. In just three years, they’ve gone from two cofounders from Poland to dominating the AI voice industry. ElevenLabs does their own R&D, builds their own foundation models, and ships over 10 different products at lightning speed without compromising on quality. We sat down with ElevenLabs co-founder and CEO Mati Staniszewski to discuss the breadth of their product roadmap, why they aren’t based in SF, how they’re working to overcome opposition in creative industries, and the hardest parts of Mati’s journey from small startup founder to industry titan. 00:00 Intro 02:50 Early research and product work with Piotr 03:35 Shipping quickly with small, high ownership independent teams 04:40 Balancing research and product launches 06:50 A remote-first approach: meeting talent where they are 10:00 US vs Europe work cultures 13:35 The creative industry’s adoption of AI 16:43 Challenges in licensing and 18-month negotiation process 18:05 Hiring in complex domains 20:45 Transitioning from creator-first to enterprise adoption 21:48 Lessons from hiring the first salespeople 23:34 Scaling orchestration, long sales cycles and cultural adjustments 26:22 Customer choice in adopting early features 27:55 Phases of company growth: product, sales, scaling Jennifer Li
31:29

ElevenLabs CEO: Why Voice is the Next AI Interface ElevenLabs is one of the most interesting companies in AI today. In just three years, they’ve gone from two cofounders from Poland to dominating the AI voice industry. ElevenLabs does their own R&D, builds their own foundation models, and ships over 10 different products at lightning speed without compromising on quality. We sat down with ElevenLabs co-founder and CEO Mati Staniszewski to discuss the breadth of their product roadmap, why they aren’t based in SF, how they’re working to overcome opposition in creative industries, and the hardest parts of Mati’s journey from small startup founder to industry titan. 00:00 Intro 02:50 Early research and product work with Piotr 03:35 Shipping quickly with small, high ownership independent teams 04:40 Balancing research and product launches 06:50 A remote-first approach: meeting talent where they are 10:00 US vs Europe work cultures 13:35 The creative industry’s adoption of AI 16:43 Challenges in licensing and 18-month negotiation process 18:05 Hiring in complex domains 20:45 Transitioning from creator-first to enterprise adoption 21:48 Lessons from hiring the first salespeople 23:34 Scaling orchestration, long sales cycles and cultural adjustments 26:22 Customer choice in adopting early features 27:55 Phases of company growth: product, sales, scaling Jennifer Li

a16z

144,000 次观看 • 8 个月前

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents
40:27

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents

Y Combinator

236,530 次观看 • 10 个月前