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"AI will reduce your bottom line and stablecoins will ultimately increase your top line." kareem saw this coming early. He positioned Entendre to build FOR stablecoin native companies, instead of building one himself. As stablecoins began to solve real problems, the winners would grow into massive businesses onchain with... complex books to close. So he built the accounting tooling those companies would need to scale. Before Entendre, he built cash management systems at Workday, then joined WeWork at peak valuation, where 300+ accountants couldn't keep up with the accounting at scale. When ChatGPT launched, he founded Entendre with his brother Omar and designer Andy, and the three of them built AI accounting software for some of the fastest growing organizations in the world. They built agents to automate stablecoin and digital asset accounting for companies like Polygon Labs, Brale, Courtyard, and Babylon Labs. In the last 12 months, their customers have raised over $1 billion in venture capital. Last month MoonPay 🟣 acquired the company to power the financial operations layer of the stablecoin economy. His bet: by 2030 half the accountants will have retired, every dollar moving onchain still has to land in a ledger, and agents are how the books get kept. Kareem's conversation with : 1:30 - Youngest engineer on Workday's financial side 6:44 - Why everyone used to fight over the general ledger 10:11 - WeWork at peak valuation and 300 accountants falling behind 13:05 - How he built Cloud Kitchens' money platform from scratch 19:22 - 3 million CPAs, $100T GDP, and 50% retiring by 2030 21:04 - Why stablecoins grow top line and AI cuts bottom line 23:41 - Three levels of AI adoption and where most people are stuck 29:00 - How ChatGPT's launch led to founding Entendre 31:29 - Customers who've raised over $1 billion in VC 35:37 - Polygon Labs: 32 legal entities on one platform 37:51 - Dual Entry and the $90M AI-native ERP partnership 38:33 - Why MoonPay acquired Entendre 43:17 - First startup, first exit, first time raising capital 52:44 - 10x revenue growth and the 2025 inflection point Episode 0052. Presented to you by Altitudeshow more

Stabledash

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Nobody wants to be an accountant anymore. Basis CEO Matt Harpe thinks he can help. Founded in 2023 by Harpe and Mitchell Troyanovsky, Basis builds AI agents for accounting firms, automating hours of number crunching and copy-paste into a review process that takes minutes. Basis already works with 25% of the top 150 firms in the U.S. and reached a valuation of $1.15B in February. And far from eliminating jobs, Harpe believes his startup will help human accountants get paid. "It will increase how valuable accountants are, because they will be able to accomplish so much more," he says. On The Upstarts Podcast, Harpe shares: ▪️how Basis can stay ahead of the big labs like Anthropic and OpenAI in its vertical ▪️why outcome-based pricing is nice work, if you can get it ▪️how he pitches top AI talent in New York on building accounting tools, of all things. Plus, he shares his Upstart Moment: resisting calls to chase short-term revenue until his product felt ready for primetime. TIMESTAMPS 00:00 Introduction 01:47 The basis for Basis 07:25 Why no one wants to be an accountant any more 14:37 CEO Matt Harpe's founder journey 19:46 "The home for applied AI talent in New York" 22:58 Winning over skeptical accountants as customers 28:41 A big bet on agents from the start 31:31 Outcome-based pricing and its challenges 35:52 Competing with the big AI labs like OpenAI 41:11 Making human accountants more valuable A big thanks to our season sponsor, Rippling, for supporting founder stories like this 🫡 Enjoy!

Nobody wants to be an accountant anymore. Basis CEO Matt Harpe thinks he can help. Founded in 2023 by Harpe and Mitchell Troyanovsky, Basis builds AI agents for accounting firms, automating hours of number crunching and copy-paste into a review process that takes minutes. Basis already works with 25% of the top 150 firms in the U.S. and reached a valuation of $1.15B in February. And far from eliminating jobs, Harpe believes his startup will help human accountants get paid. "It will increase how valuable accountants are, because they will be able to accomplish so much more," he says. On The Upstarts Podcast, Harpe shares: ▪️how Basis can stay ahead of the big labs like Anthropic and OpenAI in its vertical ▪️why outcome-based pricing is nice work, if you can get it ▪️how he pitches top AI talent in New York on building accounting tools, of all things. Plus, he shares his Upstart Moment: resisting calls to chase short-term revenue until his product felt ready for primetime. TIMESTAMPS 00:00 Introduction 01:47 The basis for Basis 07:25 Why no one wants to be an accountant any more 14:37 CEO Matt Harpe's founder journey 19:46 "The home for applied AI talent in New York" 22:58 Winning over skeptical accountants as customers 28:41 A big bet on agents from the start 31:31 Outcome-based pricing and its challenges 35:52 Competing with the big AI labs like OpenAI 41:11 Making human accountants more valuable A big thanks to our season sponsor, Rippling, for supporting founder stories like this 🫡 Enjoy!

Alex Konrad

46,732 Aufrufe • vor 2 Monaten

.Sam Broner spent years at a16z crypto studying hundreds of stablecoin-focused startups. Mature fintechs, banks weighing their stablecoin strategy, early teams pitching infrastructure plays. The one pattern that kept surfacing: stablecoins were built for trading, not payments. Before a16z, Broner was an engineer at Microsoft, where he built the Fluid Framework that helped re-platform Word from desktop to browser. He demoed for Bill Gates two weeks into the project. Spent time at the Boston Fed's stablecoin initiative during MIT Sloan, angel invested in Cursor before most people had heard of it, and kept circling back to the same problem: moving from one stablecoin to another still works like a trade, not a payment. That's when he founded The Better Money Company - a stablecoin clearinghouse. Any stablecoin in, any stablecoin out, at a fixed price, with a guaranteed time of delivery. Its member issuers include Bridge, Paxos Labs, Agora, M0, MoonPay 🟣, brale, and Frax Finance ¤⛓️¤. Clients include Ramp, Privy, Turnkey 🔑, and Modern Treasury. The Better Money Company raised $10 million from a16z crypto, BoxGroup, and Sunflower Capital, and came out of stealth last week. Broner's point is simple. You don't sell Wells Fargo dollars at a variable price to get Bank of America dollars. Stablecoins shouldn't work that way either. Sam Broner sat down with Drew Rogers in Brooklyn. 00:00 - "I was living in Beijing in 2017" 02:24 - Paperwork in payments, and why engineers find it ridiculous 06:49 - MIT Sloan, the Boston Fed, and the stablecoin research scene 09:07 - The Fluid Framework: coding under a podium while Satya watched 13:10 - Why making payments a little bit better matters at massive scale 15:08 - Stablecoins are optimized for trading pairs, not payment flows 17:20 - What a clearinghouse is: from London taverns to hub-and-spoke 21:46 - Guaranteed pricing, guaranteed settlement, compliant clearing 25:41 - "Better money needs to be one to one" 31:52 - Instant payouts for gig workers: a weekend build on stablecoin rails 33:49 - Tourists in the Bazaar: how agents will transact 39:58 - Atomic payments and why faster settlement changes everything 44:01 - Why enterprise agent payments dwarf consumer agent payments 47:38 - Selling shovels vs. going for gold 53:24 - What's next for The Better Money Company Episode 0048, Presented by Altitude

.Sam Broner spent years at a16z crypto studying hundreds of stablecoin-focused startups. Mature fintechs, banks weighing their stablecoin strategy, early teams pitching infrastructure plays. The one pattern that kept surfacing: stablecoins were built for trading, not payments. Before a16z, Broner was an engineer at Microsoft, where he built the Fluid Framework that helped re-platform Word from desktop to browser. He demoed for Bill Gates two weeks into the project. Spent time at the Boston Fed's stablecoin initiative during MIT Sloan, angel invested in Cursor before most people had heard of it, and kept circling back to the same problem: moving from one stablecoin to another still works like a trade, not a payment. That's when he founded The Better Money Company - a stablecoin clearinghouse. Any stablecoin in, any stablecoin out, at a fixed price, with a guaranteed time of delivery. Its member issuers include Bridge, Paxos Labs, Agora, M0, MoonPay 🟣, brale, and Frax Finance ¤⛓️¤. Clients include Ramp, Privy, Turnkey 🔑, and Modern Treasury. The Better Money Company raised $10 million from a16z crypto, BoxGroup, and Sunflower Capital, and came out of stealth last week. Broner's point is simple. You don't sell Wells Fargo dollars at a variable price to get Bank of America dollars. Stablecoins shouldn't work that way either. Sam Broner sat down with Drew Rogers in Brooklyn. 00:00 - "I was living in Beijing in 2017" 02:24 - Paperwork in payments, and why engineers find it ridiculous 06:49 - MIT Sloan, the Boston Fed, and the stablecoin research scene 09:07 - The Fluid Framework: coding under a podium while Satya watched 13:10 - Why making payments a little bit better matters at massive scale 15:08 - Stablecoins are optimized for trading pairs, not payment flows 17:20 - What a clearinghouse is: from London taverns to hub-and-spoke 21:46 - Guaranteed pricing, guaranteed settlement, compliant clearing 25:41 - "Better money needs to be one to one" 31:52 - Instant payouts for gig workers: a weekend build on stablecoin rails 33:49 - Tourists in the Bazaar: how agents will transact 39:58 - Atomic payments and why faster settlement changes everything 44:01 - Why enterprise agent payments dwarf consumer agent payments 47:38 - Selling shovels vs. going for gold 53:24 - What's next for The Better Money Company Episode 0048, Presented by Altitude

Stabledash

16,388 Aufrufe • vor 4 Monaten

.Charles Yoo-Naut (🌧️,🌧️) is one of the most quietly consequential founders in not just onchain finance, but fintech as a whole. He and farooq 🌧 started building Rain in 2021, before the GENIUS Act, before stablecoin legislation was even a conversation, when the industry was still debating whether crypto had real use cases at all. Rain was built on a belief that every financial product will eventually run on stablecoin rails, and that cards are the bridge to get there. Charles rebuilt the modern money stack from the ground up, powered by stablecoins. Today Rain processes over $3 billion a year in card volume, having raised over $300 million in three rounds across 12 months, hitting a $1.95 billion valuation. Charles sat down with Drew Rogers in San Francisco to discuss: - What it actually looks like when stablecoins settle end to end on Visa rails - Why Rain's biggest customers are companies that didn't exist two years ago - The moment cross-border payments stop needing banks in the middle - What happens when agents start making purchases, and who is liable - How a 95-person company avoids the Block trap of hiring 8,000 - Why the line between a card payment and a stablecoin payment is about to disappear - What it feels like to become a dad while scaling a company at this pace Timestamps: 02:29 - $250M Series C, $1.95B valuation 03:40 - The conviction that started four years early 06:08 - $3B annualized card volume 08:33 - USDC settlement with Visa 12:33 - From "Ramp for DAOs" to the full TAM 14:36 - Western Union and the stablecoin sandwich 21:36 - 17 days to go live 26:15 - "I don't know if I could be an AI founder right now" 33:50 - Stablecoins passing cardholder to merchant 44:01 - Microtransactions and content paywalls 46:33 - Becoming a dad Presented by Altitude

.Charles Yoo-Naut (🌧️,🌧️) is one of the most quietly consequential founders in not just onchain finance, but fintech as a whole. He and farooq 🌧 started building Rain in 2021, before the GENIUS Act, before stablecoin legislation was even a conversation, when the industry was still debating whether crypto had real use cases at all. Rain was built on a belief that every financial product will eventually run on stablecoin rails, and that cards are the bridge to get there. Charles rebuilt the modern money stack from the ground up, powered by stablecoins. Today Rain processes over $3 billion a year in card volume, having raised over $300 million in three rounds across 12 months, hitting a $1.95 billion valuation. Charles sat down with Drew Rogers in San Francisco to discuss: - What it actually looks like when stablecoins settle end to end on Visa rails - Why Rain's biggest customers are companies that didn't exist two years ago - The moment cross-border payments stop needing banks in the middle - What happens when agents start making purchases, and who is liable - How a 95-person company avoids the Block trap of hiring 8,000 - Why the line between a card payment and a stablecoin payment is about to disappear - What it feels like to become a dad while scaling a company at this pace Timestamps: 02:29 - $250M Series C, $1.95B valuation 03:40 - The conviction that started four years early 06:08 - $3B annualized card volume 08:33 - USDC settlement with Visa 12:33 - From "Ramp for DAOs" to the full TAM 14:36 - Western Union and the stablecoin sandwich 21:36 - 17 days to go live 26:15 - "I don't know if I could be an AI founder right now" 33:50 - Stablecoins passing cardholder to merchant 44:01 - Microtransactions and content paywalls 46:33 - Becoming a dad Presented by Altitude

Stabledash

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A stablecoin proves itself through the scale it reaches and the services it enables. Anthony Soohoo (MoneyGram) and Luca Prosperi (M0) join Stateful, hosted by Mason Nystrom. In this episode, they discuss the future of money creation and movement: - MoneyGram built its own stablecoin MGUSD for 60 million active customers. Not for trading or institutions. - M0 is building the modular stablecoin infrastructure that powers several stablecoins including MoneyGram, KAST, and MetaMask - MoneyGram verticalized its own stablecoin instead of integrating USDT or USDC, controlling the economics and passing savings to customers, the same logic behind Apple building its own chips. - Stablecoin supply: $500B by 2027, $1 trillion by 2030 03:30 Why MoneyGram Launched MGUSD 06:00 How M0 Powers Stablecoin Infrastructure 08:00 Why MoneyGram Built Its Own Stablecoin Instead of Using USDC 11:30 Distribution Wins: The Real Stablecoin Differentiator 17:00 Having a Stablecoin Is Not Enough: Build on Top of It 18:00 How AI and Stablecoins Are Compressing Revenue Moats 24:00 MoneyGram Becoming an Open Network: The Kraken Partnership 27:30 Quick Fire: Stablecoin Supply Predictions for 2027 and 2030

A stablecoin proves itself through the scale it reaches and the services it enables. Anthony Soohoo (MoneyGram) and Luca Prosperi (M0) join Stateful, hosted by Mason Nystrom. In this episode, they discuss the future of money creation and movement: - MoneyGram built its own stablecoin MGUSD for 60 million active customers. Not for trading or institutions. - M0 is building the modular stablecoin infrastructure that powers several stablecoins including MoneyGram, KAST, and MetaMask - MoneyGram verticalized its own stablecoin instead of integrating USDT or USDC, controlling the economics and passing savings to customers, the same logic behind Apple building its own chips. - Stablecoin supply: $500B by 2027, $1 trillion by 2030 03:30 Why MoneyGram Launched MGUSD 06:00 How M0 Powers Stablecoin Infrastructure 08:00 Why MoneyGram Built Its Own Stablecoin Instead of Using USDC 11:30 Distribution Wins: The Real Stablecoin Differentiator 17:00 Having a Stablecoin Is Not Enough: Build on Top of It 18:00 How AI and Stablecoins Are Compressing Revenue Moats 24:00 MoneyGram Becoming an Open Network: The Kraken Partnership 27:30 Quick Fire: Stablecoin Supply Predictions for 2027 and 2030

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🎙️Architecting the Monetary Endgame Ep. 97 with allen farrington My guest today is Allen Farrington, writer, investor, and co-founder of Axiom, a Bitcoin-focused venture capital firm backing companies that use Bitcoin as real infrastructure rather than speculation. Allen co-authored “Bitcoin is Venice” and “Only the Strong Survive” and draws on a background in math, philosophy, Austrian economics, and long-term equity investing to explain why Bitcoin is both a technological breakthrough and a venture opportunity hiding in plain sight. In this episode, he shares why he believes the most valuable startups will use Bitcoin as invisible plumbing for payments, energy, and financial services rather than marketing themselves as “Bitcoin companies.” We explore why current stablecoin systems break under real demand, how Lightning and Taproot Assets enable issuer competition and scalable payments, and why the long arc ends with e-cash and Bitcoin-native money. Allen frames Axiom’s edge as “temporal arbitrage”: investing early where technical understanding and adoption are low, anticipating that in a decade the market will recognize the value created by Bitcoin-based infrastructure. ► If you got value, please like, comment, share, follow and support my work. Thank you! 00:00 - Coming Up 01:12 - Introduction to Allen 03:20 - Discovering Bitcoin & Career Trajectory 12:03 - Ad Break - Trezor & BitVault 15:22 - Investment Philosophy & Lightning as Inspiration 17:52 - Company and Investment Selection for Axiom VC 30:12 - Stablecoins & Regulations 37:32 - Why Most Stablecoin Systems Fail At Scale? 44:50 - The Importance of Stablecoin Issuers 51:16 - Stablecoins on Lightning & Taproot Assets: A New Approach 1:01:23 - The Future of Digital Money: E-Cash 1:05:47 - Steps to Migrate From Fiat To Bitcoin 1:10:28 - Companies to Watch in the Bitcoin & Lightning Space 1:16:43 - Allen Loves What He Does & Why He Does It >>

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Efrat Fenigson

75,862 Aufrufe • vor 1 Jahr

Nikhil Srinivasan sold his first company to Coinbase 🛡️ in 2018. A few years later, he went on to lead product on Sardine's AI risk platform. Last year he left to start Infinite. At Coinbase, his team added every new blockchain and asset to the platform beyond Bitcoin and Ethereum, including USDC. At Sardine, he led compliance while co-founder Raj led payments, and together they shipped one of the first real virtual account programs in stablecoins. Those two seats are where the thesis behind Infinite took shape. Infinite is a global B2B stablecoin processor backed by Y Combinator and Coinbase 🛡️, settling same-day payments to 170+ countries. His bet is simple. Stablecoins are rewriting the rails of global payments, and compliance is what decides who actually wins. Nikhil Srinivasan sat down with in San Francisco. 00:00 - "There's a whole story as to how we got to this problem" 02:35 - Infinite, and the team that shipped at Sardine 06:25 - Virtual accounts: the light-bulb moment 13:10 - The visibility gap on the international leg 16:57 - First-party vs third-party, and why nesting is the quiet risk 22:32 - Inside the stablecoin sandwich 28:52 - "People think compliance is deterministic and static" 35:14 - The end of emailing passport scans 40:41 - Bitso, Trace, Conduit, Yellow Card - allies, not competition 46:08 - "Go bare metal" - Tom Blomfield's YC advice 52:42 - Agentic commerce and machine-to-machine money 56:51 - Do foundation model companies become payment companies? Episode 0047, Presented by Altitude

Nikhil Srinivasan sold his first company to Coinbase 🛡️ in 2018. A few years later, he went on to lead product on Sardine's AI risk platform. Last year he left to start Infinite. At Coinbase, his team added every new blockchain and asset to the platform beyond Bitcoin and Ethereum, including USDC. At Sardine, he led compliance while co-founder Raj led payments, and together they shipped one of the first real virtual account programs in stablecoins. Those two seats are where the thesis behind Infinite took shape. Infinite is a global B2B stablecoin processor backed by Y Combinator and Coinbase 🛡️, settling same-day payments to 170+ countries. His bet is simple. Stablecoins are rewriting the rails of global payments, and compliance is what decides who actually wins. Nikhil Srinivasan sat down with in San Francisco. 00:00 - "There's a whole story as to how we got to this problem" 02:35 - Infinite, and the team that shipped at Sardine 06:25 - Virtual accounts: the light-bulb moment 13:10 - The visibility gap on the international leg 16:57 - First-party vs third-party, and why nesting is the quiet risk 22:32 - Inside the stablecoin sandwich 28:52 - "People think compliance is deterministic and static" 35:14 - The end of emailing passport scans 40:41 - Bitso, Trace, Conduit, Yellow Card - allies, not competition 46:08 - "Go bare metal" - Tom Blomfield's YC advice 52:42 - Agentic commerce and machine-to-machine money 56:51 - Do foundation model companies become payment companies? Episode 0047, Presented by Altitude

Stabledash

15,123 Aufrufe • vor 5 Monaten

Gumloop (YC W24) is building a platform that lets employees across a company build and share AI agents, while giving IT control over the data, permissions, and infrastructure behind them. Today it’s used by companies including Shopify, Gusto, and Instacart to automate work across sales, customer success, operations, and more. In this fireside, Gumloop co-founders Max Brodeur-Urbas and Rahul Behal joined Gustaf Alströmer to share how they built Gumloop before models were ready for agents, then found product-market fit as the technology caught up. They talk about landing early enterprise customers, making companies AI-native, and why the people closest to the work should be the ones automating it. 00:00 — The AI Agent Builder for Every Team 03:38 — From Workflow Automation to Enterprise AI 07:20 — What It Takes to Win Enterprise Customers 11:02 — How the Founders Met and Got Into YC 15:00 — How Gumloop Uses Its Own Agents 18:02 — Landing Shopify and Rethinking Pricing 21:23 — Fundraising and the Limits of Staying Lean 24:35 — Letting Employees Automate Their Own Work 27:43 — Building Agents Companies Can Control 31:23 — Getting IT to Say Yes

Gumloop (YC W24) is building a platform that lets employees across a company build and share AI agents, while giving IT control over the data, permissions, and infrastructure behind them. Today it’s used by companies including Shopify, Gusto, and Instacart to automate work across sales, customer success, operations, and more. In this fireside, Gumloop co-founders Max Brodeur-Urbas and Rahul Behal joined Gustaf Alströmer to share how they built Gumloop before models were ready for agents, then found product-market fit as the technology caught up. They talk about landing early enterprise customers, making companies AI-native, and why the people closest to the work should be the ones automating it. 00:00 — The AI Agent Builder for Every Team 03:38 — From Workflow Automation to Enterprise AI 07:20 — What It Takes to Win Enterprise Customers 11:02 — How the Founders Met and Got Into YC 15:00 — How Gumloop Uses Its Own Agents 18:02 — Landing Shopify and Rethinking Pricing 21:23 — Fundraising and the Limits of Staying Lean 24:35 — Letting Employees Automate Their Own Work 27:43 — Building Agents Companies Can Control 31:23 — Getting IT to Say Yes

Y Combinator

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FULL INTERVIEW: Jerry Tworek says AI researchers now tell each other they have a last few days of work left, so work while you still can. He gives it two years before humans stop being a meaningful part of AI research. Jerry Tworek spent 7 years at OpenAI, where he led o1 and o3 and built the original Codex. He left in January to found , and joined Theo Jaffee and sof 𓋹 to lay out his contrarian bet against the transformer: 01:18 the third generation of AI labs 03:43 why the agents execute and the humans still generate the insight 06:42 two years before humans are vestigial in AI research 09:09 why creative writing lags coding, and it isn't a research problem 11:08 if you aren't the lab with the highest compute footprint, you die 11:20 roughly 10 companies had a shot at Anthropic's position 13:16 his most contrarian thesis, and why he won't just train transformers 15:31 what's actually wrong with the transformer 17:23 seven years at OpenAI, three or four attempts at a new architecture 19:30 all of us are neo clouds with a value add on top 22:38 why the Hugging Face model wasn't well behaved 23:49 the alignment problems of yesterday, and how well they went 27:42 why he's proud of how OpenAI handled 4o 29:02 the 30 to 50 people in the world who understand a frontier model end to end 32:09 why automation should start with the biggest companies 36:00 Greek philosophers or high school 37:31 Ilya's 2019 all-hands, and the roadmap that turned out to be right 40:30 the moment Jakub handed him the GPUs 42:32 the company is the product

FULL INTERVIEW: Jerry Tworek says AI researchers now tell each other they have a last few days of work left, so work while you still can. He gives it two years before humans stop being a meaningful part of AI research. Jerry Tworek spent 7 years at OpenAI, where he led o1 and o3 and built the original Codex. He left in January to found , and joined Theo Jaffee and sof 𓋹 to lay out his contrarian bet against the transformer: 01:18 the third generation of AI labs 03:43 why the agents execute and the humans still generate the insight 06:42 two years before humans are vestigial in AI research 09:09 why creative writing lags coding, and it isn't a research problem 11:08 if you aren't the lab with the highest compute footprint, you die 11:20 roughly 10 companies had a shot at Anthropic's position 13:16 his most contrarian thesis, and why he won't just train transformers 15:31 what's actually wrong with the transformer 17:23 seven years at OpenAI, three or four attempts at a new architecture 19:30 all of us are neo clouds with a value add on top 22:38 why the Hugging Face model wasn't well behaved 23:49 the alignment problems of yesterday, and how well they went 27:42 why he's proud of how OpenAI handled 4o 29:02 the 30 to 50 people in the world who understand a frontier model end to end 32:09 why automation should start with the biggest companies 36:00 Greek philosophers or high school 37:31 Ilya's 2019 all-hands, and the roadmap that turned out to be right 40:30 the moment Jakub handed him the GPUs 42:32 the company is the product

MTS

134,438 Aufrufe • vor 1 Monat

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤

Joelle Emerson

25,645 Aufrufe • vor 3 Monaten

🎙️The Great Monetary Reset Is Already Here Ep. 90 with Preston Pysh My guest today is Preston Pysh, engineer, Apache helicopter pilot, partner at Ego Death Capital VC, and co-founder of The Investor’s Podcast Network. Known for co-hosting “Bitcoin Fundamentals” podcast and authoring several books on investing, Preston is one of the most influential voices in the Bitcoin space. In this episode, Preston shares how his systems-thinking mindset and background in military aviation led him to identify Bitcoin early as a superior store of value. We explore the emergence of Bitcoin treasury companies, how public markets are being rewired from within, and why financial engineering inspired by MicroStrategy’s playbook could unlock asymmetric returns for institutions and retail alike. Preston unpacks the mechanics behind mNAV models, risk-adjusted performance, and why stablecoins could be a threat but also a necessary step in Bitcoin’s adoption curve. He reflects on the spiritual and psychological shifts required to truly “get” Bitcoin, the importance of hope, and the dangers of institutional inertia. This is a conversation about clarity, conviction, and how Bitcoin is remapping the future of capital allocation, gear by gear, company by company. ► If you got value, please like, comment, share, follow and support my work. Thank you! 00:00 Coming Up… 01:33 Intro to Preston & His Influence on Bitcoiners 05:05 Hope & Freedom For Younger Audience 07:58 The Superspreader Phenomena - Bitcoin’s Treasury Companies 09:44 Risk Management & Complex Systems Experience 16:25 Understanding Value in a Financial Landscape 25:48 Corporate Adoption of Bitcoin & Treasury Companies 31:42 How Saylor Built a “Transmission” with Strategy 37:34 The Product: High Yield Income 47:34 Public Markets: The Perfect Landscape 51:26 Treasury Companies: Target for Governments 56:51 The Transitioning Financial Systems: From Fiat to Bitcoin, Via Stablecoins & CBDCs 1:04:32 The Fiat System's Impact: Doom & Gloom Outlook 1:06:21 The Future of Monetary Order by 2030 1:11:05 Will KYC Fade Out? And Link to Taxation 1:14:35 Short Fireside Questions - Books, Focus Areas 1:20:05 The Nature of Good and Evil Forces 1:24:34 What’s Preston’s Role Today & In The Future >>

🎙️The Great Monetary Reset Is Already Here Ep. 90 with Preston Pysh My guest today is Preston Pysh, engineer, Apache helicopter pilot, partner at Ego Death Capital VC, and co-founder of The Investor’s Podcast Network. Known for co-hosting “Bitcoin Fundamentals” podcast and authoring several books on investing, Preston is one of the most influential voices in the Bitcoin space. In this episode, Preston shares how his systems-thinking mindset and background in military aviation led him to identify Bitcoin early as a superior store of value. We explore the emergence of Bitcoin treasury companies, how public markets are being rewired from within, and why financial engineering inspired by MicroStrategy’s playbook could unlock asymmetric returns for institutions and retail alike. Preston unpacks the mechanics behind mNAV models, risk-adjusted performance, and why stablecoins could be a threat but also a necessary step in Bitcoin’s adoption curve. He reflects on the spiritual and psychological shifts required to truly “get” Bitcoin, the importance of hope, and the dangers of institutional inertia. This is a conversation about clarity, conviction, and how Bitcoin is remapping the future of capital allocation, gear by gear, company by company. ► If you got value, please like, comment, share, follow and support my work. Thank you! 00:00 Coming Up… 01:33 Intro to Preston & His Influence on Bitcoiners 05:05 Hope & Freedom For Younger Audience 07:58 The Superspreader Phenomena - Bitcoin’s Treasury Companies 09:44 Risk Management & Complex Systems Experience 16:25 Understanding Value in a Financial Landscape 25:48 Corporate Adoption of Bitcoin & Treasury Companies 31:42 How Saylor Built a “Transmission” with Strategy 37:34 The Product: High Yield Income 47:34 Public Markets: The Perfect Landscape 51:26 Treasury Companies: Target for Governments 56:51 The Transitioning Financial Systems: From Fiat to Bitcoin, Via Stablecoins & CBDCs 1:04:32 The Fiat System's Impact: Doom & Gloom Outlook 1:06:21 The Future of Monetary Order by 2030 1:11:05 Will KYC Fade Out? And Link to Taxation 1:14:35 Short Fireside Questions - Books, Focus Areas 1:20:05 The Nature of Good and Evil Forces 1:24:34 What’s Preston’s Role Today & In The Future >>

Efrat Fenigson

253,439 Aufrufe • vor 1 Jahr

Mark Pincus (mark pincus) is the founder of Zynga and the author of "Life at the Speed of Play: Launch Products People Love", where he distills the product philosophy and founder playbook he developed across five companies. In this episode of Main Function with Garry Tan, Mark reflects on building through three platform shifts: the web, social networking, and now AI. He shares his "Proven, Better, New" framework for product development, explains how founders can recognize real product-market fit, and discusses why the biggest consumer AI companies are still waiting to be built. 01:09 — Why Mark wrote the book 03:44 — Three eras of the Internet 04:22 — How Napster started social networking 06:19 — The Opus 4.5 Moment 09:46 — Proven, Better, New 12:59 — Why Investors are wrong about consumer 14:07 — The distribution problem 16:36 — Killing your ego to kill bad ideas 18:41 — When the fish are running 21:23 — Founder Mode is for everyone 28:13 — Tokenmaxxing 37:04 — Intelligence on tap 38:41 — The business plan of free

Mark Pincus (mark pincus) is the founder of Zynga and the author of "Life at the Speed of Play: Launch Products People Love", where he distills the product philosophy and founder playbook he developed across five companies. In this episode of Main Function with Garry Tan, Mark reflects on building through three platform shifts: the web, social networking, and now AI. He shares his "Proven, Better, New" framework for product development, explains how founders can recognize real product-market fit, and discusses why the biggest consumer AI companies are still waiting to be built. 01:09 — Why Mark wrote the book 03:44 — Three eras of the Internet 04:22 — How Napster started social networking 06:19 — The Opus 4.5 Moment 09:46 — Proven, Better, New 12:59 — Why Investors are wrong about consumer 14:07 — The distribution problem 16:36 — Killing your ego to kill bad ideas 18:41 — When the fish are running 21:23 — Founder Mode is for everyone 28:13 — Tokenmaxxing 37:04 — Intelligence on tap 38:41 — The business plan of free

Y Combinator

57,180 Aufrufe • vor 3 Monaten

Mitchell Green is the co-founder and managing partner of Lead Edge Capital, a $9B growth equity firm he founded in 2011. For 15 years, he and his partners have built one of the most disciplined investment machines in the business, designed to deliver consistent returns by hitting doubles and triples rather than chasing power law outcomes. He obsesses over avoiding zeros and is constantly underwriting investments to know exactly when to sell. He has built a unique culture at Lead Edge, sending handwritten thank you notes to nearly everyone he meets and sitting down one on one with every person at the firm once a year. He is, by his own admission, one of the most persistent and competitive people you will meet. After the episode, he told me he believes the most important thing in life is to be memorable. You will find, listening to this conversation, that he very much is. We discuss: - Why it’s the best time to buy public software companies - Lessons from 10,000 cold calls - His unique LP base - Why consistency of returns matters more than home runs - The art of knowing when to sell - How culture is built from the top + the importance of follow-through - What skiing taught him about risk and competition Enjoy! Timestamps: 0:00 Intro 1:00 The Hierarchy of BS 2:20 Lessons From 10,000 Cold Calls 9:05 Base Hits vs. Grand Slams 15:24 The 8 Buying Criteria 17:24 Pricing and the AI Exit Multiple Trap 19:24 Software as a Game of Distribution 23:20 Creative Deal Structuring 26:27 The Framework for Focus 29:01 The Art of the Investigative Cold Call 34:24 Culture of Hustle 35:34 The Annual One-on-One Process 37:59 Playing to Strengths 39:43 The Mount Rushmore of Investment Machines 42:05 Fears and Excitement Around AI 48:54 Ski Racing 52:29 Advice for Starting a Firm 54:35 The Kindest Thing

Mitchell Green is the co-founder and managing partner of Lead Edge Capital, a $9B growth equity firm he founded in 2011. For 15 years, he and his partners have built one of the most disciplined investment machines in the business, designed to deliver consistent returns by hitting doubles and triples rather than chasing power law outcomes. He obsesses over avoiding zeros and is constantly underwriting investments to know exactly when to sell. He has built a unique culture at Lead Edge, sending handwritten thank you notes to nearly everyone he meets and sitting down one on one with every person at the firm once a year. He is, by his own admission, one of the most persistent and competitive people you will meet. After the episode, he told me he believes the most important thing in life is to be memorable. You will find, listening to this conversation, that he very much is. We discuss: - Why it’s the best time to buy public software companies - Lessons from 10,000 cold calls - His unique LP base - Why consistency of returns matters more than home runs - The art of knowing when to sell - How culture is built from the top + the importance of follow-through - What skiing taught him about risk and competition Enjoy! Timestamps: 0:00 Intro 1:00 The Hierarchy of BS 2:20 Lessons From 10,000 Cold Calls 9:05 Base Hits vs. Grand Slams 15:24 The 8 Buying Criteria 17:24 Pricing and the AI Exit Multiple Trap 19:24 Software as a Game of Distribution 23:20 Creative Deal Structuring 26:27 The Framework for Focus 29:01 The Art of the Investigative Cold Call 34:24 Culture of Hustle 35:34 The Annual One-on-One Process 37:59 Playing to Strengths 39:43 The Mount Rushmore of Investment Machines 42:05 Fears and Excitement Around AI 48:54 Ski Racing 52:29 Advice for Starting a Firm 54:35 The Kindest Thing

Patrick OShaughnessy

740,319 Aufrufe • vor 6 Monaten

The future of work - Do what you love and make $ from your ownership in the future AI economy. That can only work if (A) you have the money and knowledge to invest successfully in the right AI & robotics companies or (B) you have ownership in the funds or companies that are building AI treasuries. This happened in the 1600s with the first IPOs of the first public listed companies the Dutch and British East India Companies - with all their shareholders owning a share of the birth of global shipping and trade. This happened in the 1700s when the Bank of New York (founded by my distant relative Alexander Hamilton), became the 1st public company on NYSE, and in the 1800s with the IPOs of Transcontinental Railroad, Standard Oil and General Electric - with all their stakeholders owning a share of the birth of the US Economy and Industrial Revolution. I believe the same will now happen with the launch of AI Treasury companies and Digital Banks (or public companies who have both - of which I believe $GNS is the first). When the Bank of New York went public in 1792, at the birth of NYSE, USA had 3.9 million people. The size of the Europe economy was $300 billion with 150 million people. If a traveller from the US had returned to Europe then and said the US economy would one day be as big as Europe, when it had only 2% of the population, every European would have laughed. Today, the US economy is $31.8 trillion - 10,600% the size. With 349 million people. Everyone who had the forsight to invest in the growth of the US instead of laughing would have profited from the relative growth of the US vs Europe over the last 230 years. Similarly, the future economy of AI agents and robots will dwarf our current human population, and the digital economy they will create online and in space may very well grow by a similar 10,000%+ or more. But not in 230 years. More like 23 years or less. That's why we're all in on educating for the future. And investing in the future.

The future of work - Do what you love and make $ from your ownership in the future AI economy. That can only work if (A) you have the money and knowledge to invest successfully in the right AI & robotics companies or (B) you have ownership in the funds or companies that are building AI treasuries. This happened in the 1600s with the first IPOs of the first public listed companies the Dutch and British East India Companies - with all their shareholders owning a share of the birth of global shipping and trade. This happened in the 1700s when the Bank of New York (founded by my distant relative Alexander Hamilton), became the 1st public company on NYSE, and in the 1800s with the IPOs of Transcontinental Railroad, Standard Oil and General Electric - with all their stakeholders owning a share of the birth of the US Economy and Industrial Revolution. I believe the same will now happen with the launch of AI Treasury companies and Digital Banks (or public companies who have both - of which I believe $GNS is the first). When the Bank of New York went public in 1792, at the birth of NYSE, USA had 3.9 million people. The size of the Europe economy was $300 billion with 150 million people. If a traveller from the US had returned to Europe then and said the US economy would one day be as big as Europe, when it had only 2% of the population, every European would have laughed. Today, the US economy is $31.8 trillion - 10,600% the size. With 349 million people. Everyone who had the forsight to invest in the growth of the US instead of laughing would have profited from the relative growth of the US vs Europe over the last 230 years. Similarly, the future economy of AI agents and robots will dwarf our current human population, and the digital economy they will create online and in space may very well grow by a similar 10,000%+ or more. But not in 230 years. More like 23 years or less. That's why we're all in on educating for the future. And investing in the future.

Roger James Hamilton

10,107 Aufrufe • vor 4 Monaten

My conversation with Graham Weaver, the founder of Alpine Investors. Graham built this large private equity firm by buying companies and handing them over to ~27-year-old CEOs. He tells the entire story of the firm here. Enjoy! Timestamps 0:00 Intro 0:37 Alpine's Three North Stars 7:33 The Power of Choice & Determination 13:33 Early Career 21:45 Founding Alpine 29:36 Core Beliefs and Talent Development 35:47 Building a Platform Company 39:02 Talent and Training Programs 44:15 Employee and Customer Engagement 47:26 Financial Outcomes & Return Strategies 50:43 Supporting Young CEOs 58:13 Teaching at Stanford 1:05:31 Coaching and One-on-One Meetings 1:08:18 Executive Coaching 1:11:19 Defining Personal Growth and Courage 1:18:41 Lessons from a Slot Machine Business 1:22:43 Balancing Work and Personal Life 1:29:21 The Future of Private Equity 1:32:29 The Importance of Seeing the Best in People 1:38:10 The Kindest Thing

My conversation with Graham Weaver, the founder of Alpine Investors. Graham built this large private equity firm by buying companies and handing them over to ~27-year-old CEOs. He tells the entire story of the firm here. Enjoy! Timestamps 0:00 Intro 0:37 Alpine's Three North Stars 7:33 The Power of Choice & Determination 13:33 Early Career 21:45 Founding Alpine 29:36 Core Beliefs and Talent Development 35:47 Building a Platform Company 39:02 Talent and Training Programs 44:15 Employee and Customer Engagement 47:26 Financial Outcomes & Return Strategies 50:43 Supporting Young CEOs 58:13 Teaching at Stanford 1:05:31 Coaching and One-on-One Meetings 1:08:18 Executive Coaching 1:11:19 Defining Personal Growth and Courage 1:18:41 Lessons from a Slot Machine Business 1:22:43 Balancing Work and Personal Life 1:29:21 The Future of Private Equity 1:32:29 The Importance of Seeing the Best in People 1:38:10 The Kindest Thing

Patrick OShaughnessy

132,783 Aufrufe • vor 1 Jahr

Henry Ellenbogen has one of the best track records in growth investing, yet he has kept a notably low profile. He built his reputation at T. Rowe Price, where he ran the New Horizons Fund and turned it into one of the best-performing small-cap growth portfolios in the country. He backed more than 50 companies through IPO before leaving in 2019 to found Durable Capital. Henry believes great investing is about understanding people and change. He spent his career studying the 1% of companies that drive nearly all long-term returns, which led him to a simple philosophy: invest in small companies that can become large ones. He built Durable to uniquely support a company through its full compounding journey. A single team can invest early in private markets and continue owning businesses as they scale into durable public companies. He talks about investing in and learning directly from founders like Jeff Bezos, Reed Hastings, tobi lutke, Max Levchin, and Luis von Ahn, and watching how they adapt and rebuild as their businesses scale. He is especially drawn to "Act II" entrepreneurs, founders who have already built one company and return with sharper judgment and execution the second time. We also discuss Durable itself, which is Henry's own Act II. He explains how he has built the firm around developing talent, measuring people by how much they make others better, and his discipline of writing memos and doing multi-year lookbacks on every investment. What comes through most clearly is how much Henry loves the craft of investing, and how seriously he takes building something meant to last. Enjoy! Timestamps: 00:00 Intro 03:02 Origin of an Investment Philosophy 07:02 The "One Percent" of Stocks 13:17 Domino's 19:10 Betting on "Act Two" Teams 24:31 Building Durable Capital 34:46 Market Structure and Time Arbitrage 52:49 Adapting to Discontinuous Change 1:03:19 Physical Moats vs. Soft Moats 1:11:52 The End of Free Money 1:37:35 The Argument for Going Public 1:46:43 The "Warriors" Mindset 1:51:17 Kindest Thing

Patrick OShaughnessy

869,693 Aufrufe • vor 9 Monaten

Over the past few months at Dedalus Labs, we’ve noticed how many talented founders from around the world are being held back by one thing: location. There is no better place in the world to build an AI startup than San Francisco. SF is home to all the major AI labs, top talent, world-class investors, and it is where the future is being built every day. That’s why, this December, we’re giving builders everywhere a chance to break in. We are taking over and launching Break In—a month-long hacker house program in the heart of San Francisco. If you’re not from SF, and you’re building an AI startup, this is your chance to join us. Build your startup on top of Dedalus’ Agents SDK or MCP deployment infrastructure and we’ll cover your stay (housing, lunch, and co-working space). As a member of Break In, you’ll get access to all the best parts of SF. You’ll be introduced to top founders, mentors, and investors. You’ll get to skip the line at the biggest tech events. Plus, you’ll receive free API credits and expanded access to the best-in-class AI stack through our partner network of top AI infrastructure companies. Applications open October 27th and close November 10th. We will be accepting applications on a rolling basis. Final acceptances will go out November 14th to ensure international founders have enough time to secure visas. Ready to break in? Follow us on Twitter/X for more updates and visit the link in the comments to apply on October 27th!

Over the past few months at Dedalus Labs, we’ve noticed how many talented founders from around the world are being held back by one thing: location. There is no better place in the world to build an AI startup than San Francisco. SF is home to all the major AI labs, top talent, world-class investors, and it is where the future is being built every day. That’s why, this December, we’re giving builders everywhere a chance to break in. We are taking over and launching Break In—a month-long hacker house program in the heart of San Francisco. If you’re not from SF, and you’re building an AI startup, this is your chance to join us. Build your startup on top of Dedalus’ Agents SDK or MCP deployment infrastructure and we’ll cover your stay (housing, lunch, and co-working space). As a member of Break In, you’ll get access to all the best parts of SF. You’ll be introduced to top founders, mentors, and investors. You’ll get to skip the line at the biggest tech events. Plus, you’ll receive free API credits and expanded access to the best-in-class AI stack through our partner network of top AI infrastructure companies. Applications open October 27th and close November 10th. We will be accepting applications on a rolling basis. Final acceptances will go out November 14th to ensure international founders have enough time to secure visas. Ready to break in? Follow us on Twitter/X for more updates and visit the link in the comments to apply on October 27th!

Cathy Di

109,650 Aufrufe • vor 11 Monaten

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR

Chris Powers

41,751 Aufrufe • vor 1 Jahr

Arc Public Testnet is live. Arc is an open Layer-1 blockchain designed to serve as the Economic OS for the internet, uniting programmable money and onchain innovation with real-world economic activity. Arc is uniquely suited to be a new trusted foundation for: → Lending and financial services → Capital markets → Tokenized asset issuance → Stablecoin settlement worldwide With deterministic sub-second finality, stablecoins as native gas, and opt-in configurable privacy, Arc is purpose-built to meet the needs of the global financial system. It’s built for a world where: → Financial apps are as accessible as email → Dollars, euros, pesos, and other fiat currencies move instantly → Private transactions that support compliance happen at scale → AI agents transact and coordinate commercial activity autonomously Arc testnet is already seeing participation from leading companies across capital markets, global payments and technology platforms, and full-stack developer infrastructure providers. Guided by Circle’s vision of making money truly open and programmable, Arc is public internet infrastructure that invites everyone to build, coordinate, and transact onchain. Start building: Read the release:

Arc Public Testnet is live. Arc is an open Layer-1 blockchain designed to serve as the Economic OS for the internet, uniting programmable money and onchain innovation with real-world economic activity. Arc is uniquely suited to be a new trusted foundation for: → Lending and financial services → Capital markets → Tokenized asset issuance → Stablecoin settlement worldwide With deterministic sub-second finality, stablecoins as native gas, and opt-in configurable privacy, Arc is purpose-built to meet the needs of the global financial system. It’s built for a world where: → Financial apps are as accessible as email → Dollars, euros, pesos, and other fiat currencies move instantly → Private transactions that support compliance happen at scale → AI agents transact and coordinate commercial activity autonomously Arc testnet is already seeing participation from leading companies across capital markets, global payments and technology platforms, and full-stack developer infrastructure providers. Guided by Circle’s vision of making money truly open and programmable, Arc is public internet infrastructure that invites everyone to build, coordinate, and transact onchain. Start building: Read the release:

Circle

404,467 Aufrufe • vor 11 Monaten