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Julia Fedorin

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Storytelling @Composio 🎙️🎥 | Prev Marketing @Shopify | @UWaterloo Class ‘26 | Learning French on the side🇫🇷

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She left Waterloo without graduating. Now she's a Member of Technical Staff at OpenAI. Brooke Joseph joined a 12-person startup called Sky as an intern. Six months later, OpenAI acquired it. Now she does agent post-training research on computer use full-time, teaching models to click, type, and operate any software a human can. I sat down with her in Washington Square Park to get into: •Why she takes jobs she's "unqualified" for and how you build that confidence •What makes software feel magical •Why computer use is the road to AGI •When you should not let an agent use your computer •How she learns and why she still does it by hand 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro: Washington Square Park (02:00) Her First Job: Her Dad's Produce Store (03:43) Why She Takes Roles She's "Unqualified" For (07:12) Why Sweden: Building Edge ML for Volvo & Siemens (11:18) What Made Sky Magical (14:19) Ari, Konrad, and Asking "Why" Relentlessly (17:28) Six Months In: OpenAI Acquires Sky (18:54) Computer Use, Explained (20:14) Why Computer Use Is the Road to AGI (25:14) When Not to Let an Agent Use Your Computer (29:32) The "Never Satisfied" Mindset (35:40) Her Love of Math, and Mr. White (45:32) Her Curiosity Deep-Dive System (52:29) Post-AGI Plans: A Bakery in Paris

She left Waterloo without graduating. Now she's a Member of Technical Staff at OpenAI. Brooke Joseph joined a 12-person startup called Sky as an intern. Six months later, OpenAI acquired it. Now she does agent post-training research on computer use full-time, teaching models to click, type, and operate any software a human can. I sat down with her in Washington Square Park to get into: •Why she takes jobs she's "unqualified" for and how you build that confidence •What makes software feel magical •Why computer use is the road to AGI •When you should not let an agent use your computer •How she learns and why she still does it by hand 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro: Washington Square Park (02:00) Her First Job: Her Dad's Produce Store (03:43) Why She Takes Roles She's "Unqualified" For (07:12) Why Sweden: Building Edge ML for Volvo & Siemens (11:18) What Made Sky Magical (14:19) Ari, Konrad, and Asking "Why" Relentlessly (17:28) Six Months In: OpenAI Acquires Sky (18:54) Computer Use, Explained (20:14) Why Computer Use Is the Road to AGI (25:14) When Not to Let an Agent Use Your Computer (29:32) The "Never Satisfied" Mindset (35:40) Her Love of Math, and Mr. White (45:32) Her Curiosity Deep-Dive System (52:29) Post-AGI Plans: A Bakery in Paris

52,593 views • 9 days ago

Instinct is the AI assistant every VC is chasing. Its founder, Noah Shinn, co-wrote Reflexion, one of the earliest agentic frameworks with MIT's Ashwin Gopinath. Noah chose to build agents for individuals. Ashwin quietly went the other way and founded Sentra to bring memory to enterprise agents. Sentra is now the company brain of a $12B public company-- 18,000 employees, and the CXOs start their day on it. Nothing like it exists in public. I sat down with Ashwin at Land's End in San Francisco before any of this was revealed. We got into: •Why memory is not a knowledge base •Why organizational memory is easier to build than individual memory •Why he thinks the AI race is nowhere near over •Who's actually accountable when AI gets something wrong •What worries him about his daughter growing up unable to tell AI from a person 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Meet Ashwin at Land's End (00:48) What Sentra Builds (03:53) Why Agents Need Memory (06:44) Memory vs. Knowledge Base (08:38) Why Org Memory Works (13:02) Who's Accountable When AI Gets It Wrong (15:36) Humans Becoming AI (18:52) The AI Race Is Not Over (29:43) Choosing the Right Team (36:10) The AI Transition and Perspective (39:34) Kids Growing Up With AI (46:09) Agency as the Edge

Instinct is the AI assistant every VC is chasing. Its founder, Noah Shinn, co-wrote Reflexion, one of the earliest agentic frameworks with MIT's Ashwin Gopinath. Noah chose to build agents for individuals. Ashwin quietly went the other way and founded Sentra to bring memory to enterprise agents. Sentra is now the company brain of a $12B public company-- 18,000 employees, and the CXOs start their day on it. Nothing like it exists in public. I sat down with Ashwin at Land's End in San Francisco before any of this was revealed. We got into: •Why memory is not a knowledge base •Why organizational memory is easier to build than individual memory •Why he thinks the AI race is nowhere near over •Who's actually accountable when AI gets something wrong •What worries him about his daughter growing up unable to tell AI from a person 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Meet Ashwin at Land's End (00:48) What Sentra Builds (03:53) Why Agents Need Memory (06:44) Memory vs. Knowledge Base (08:38) Why Org Memory Works (13:02) Who's Accountable When AI Gets It Wrong (15:36) Humans Becoming AI (18:52) The AI Race Is Not Over (29:43) Choosing the Right Team (36:10) The AI Transition and Perspective (39:34) Kids Growing Up With AI (46:09) Agency as the Edge

33,811 views • 8 days ago

Hi Shopify, room for one more?

Hi Shopify, room for one more?

1,257,913 views • 1 year ago

Vector databases are a scam. Not technically, they do exactly what they say. Return the most cosine-similar string to your query. The scam is the entire industry pretending that's the same thing as relevance. It isn't. Search "Apple." You get the fruit, the company, the watch, and a recipe blog. Your agent picks one at random and calls it retrieval. Your customer calls it broken. Most AI agents shipping right now are duct-taped on top of this. They demo well because demos are easy. They die in production because production is real. HydraDB's Founder Nish (Nishkarsh) said the quiet part out loud — "vector databases suck, similarity is not relevance" — and the demo signups haven't stopped since. He raised $6.5M because he was the first to name what everyone in the room already knew. If your retrieval layer is a flat embedding index, you're not building infrastructure. You're building a liability with a prettier name. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) AI Needs Context (01:30) HydraDB Explained (07:41) Vector Search Breaks (09:32) Messaging That Converts (13:41) Writing the Viral Tweet (16:07) Similarity Not Relevance (20:46) POC to Production Gap (35:35) Raising 6.5 Million Fast (39:33) Founder Lesson on Messaging This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more:)

Vector databases are a scam. Not technically, they do exactly what they say. Return the most cosine-similar string to your query. The scam is the entire industry pretending that's the same thing as relevance. It isn't. Search "Apple." You get the fruit, the company, the watch, and a recipe blog. Your agent picks one at random and calls it retrieval. Your customer calls it broken. Most AI agents shipping right now are duct-taped on top of this. They demo well because demos are easy. They die in production because production is real. HydraDB's Founder Nish (Nishkarsh) said the quiet part out loud — "vector databases suck, similarity is not relevance" — and the demo signups haven't stopped since. He raised $6.5M because he was the first to name what everyone in the room already knew. If your retrieval layer is a flat embedding index, you're not building infrastructure. You're building a liability with a prettier name. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) AI Needs Context (01:30) HydraDB Explained (07:41) Vector Search Breaks (09:32) Messaging That Converts (13:41) Writing the Viral Tweet (16:07) Similarity Not Relevance (20:46) POC to Production Gap (35:35) Raising 6.5 Million Fast (39:33) Founder Lesson on Messaging This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more:)

186,958 views • 4 months ago

How did Dhravya Shah get a Cloudflare internship at 18? "I built something, it got DDoSed, so I reverse-engineered Cloudflare to protect it — wrote a blog about it, it went viral and the CTO just said: do you want to work here?" Dhravya (now founder of supermemory) didn't apply. He just built in the open until the right person noticed. Full interview about his journey below.

How did Dhravya Shah get a Cloudflare internship at 18? "I built something, it got DDoSed, so I reverse-engineered Cloudflare to protect it — wrote a blog about it, it went viral and the CTO just said: do you want to work here?" Dhravya (now founder of supermemory) didn't apply. He just built in the open until the right person noticed. Full interview about his journey below.

168,322 views • 5 months ago

Fewer than five people on Earth have built two open-source JavaScript framework companies. Sam Bhagwat is one of them. The book that made him known is now one of the go-to texts for building agents. You’ve seen it: Principles of Building AI Agents. But the part that’s important to his story is the low point before Mastra. When Gatsby faded, the acquisition went sideways. They went off to build sales AI and failed for months, then came back to open-source dev tools and instantly felt like they were back on track. His word for it: the "unknown knowns." The things you know so well you forget you know them. They'd forgotten they were world-class at the exact thing they walked away from. I sat down with him at Y Combinator, where Mastra went through the Winter 2025 batch. We got into: •Why "that's interesting" is the most dangerous thing a user can tell you •Why planning in quarters is dead, it's actions-per-minute now •Why it's okay to quit your idea •Writing a print book in an era that moves too fast to print •The loneliness nobody talks about: teams stopped pair programming because everyone's driving their own agent His rule, from a YC partner: generosity breeds luck. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro — Y Combinator (01:30) What Mastra Is (03:00) Content Wants to Be Frequent (05:00) Shipping a Tier-One Feature Every Day (07:00) The $13M Seed and $22M Series A (09:00) Turn-Based vs. Real-Time Strategy (12:00) Why Experience Beats Fresh Eyes (15:00) "That's Interesting" Means They're Not Interested (18:00) It's Okay to Quit Your Idea (21:00) The Book That Started as a Joke (25:00) From Journalism to Open Source (28:00) The Netlify Acquisition, and What It Cost (32:00) The Unknown Knowns (36:00) The YC Winter '25 Takeoff Story (40:00) Remote Work Is Underrated in the Age of AI (44:00) The New Loneliness of Building With Agents (47:00) What He Still Can't Figure Out About Agents

Fewer than five people on Earth have built two open-source JavaScript framework companies. Sam Bhagwat is one of them. The book that made him known is now one of the go-to texts for building agents. You’ve seen it: Principles of Building AI Agents. But the part that’s important to his story is the low point before Mastra. When Gatsby faded, the acquisition went sideways. They went off to build sales AI and failed for months, then came back to open-source dev tools and instantly felt like they were back on track. His word for it: the "unknown knowns." The things you know so well you forget you know them. They'd forgotten they were world-class at the exact thing they walked away from. I sat down with him at Y Combinator, where Mastra went through the Winter 2025 batch. We got into: •Why "that's interesting" is the most dangerous thing a user can tell you •Why planning in quarters is dead, it's actions-per-minute now •Why it's okay to quit your idea •Writing a print book in an era that moves too fast to print •The loneliness nobody talks about: teams stopped pair programming because everyone's driving their own agent His rule, from a YC partner: generosity breeds luck. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro — Y Combinator (01:30) What Mastra Is (03:00) Content Wants to Be Frequent (05:00) Shipping a Tier-One Feature Every Day (07:00) The $13M Seed and $22M Series A (09:00) Turn-Based vs. Real-Time Strategy (12:00) Why Experience Beats Fresh Eyes (15:00) "That's Interesting" Means They're Not Interested (18:00) It's Okay to Quit Your Idea (21:00) The Book That Started as a Joke (25:00) From Journalism to Open Source (28:00) The Netlify Acquisition, and What It Cost (32:00) The Unknown Knowns (36:00) The YC Winter '25 Takeoff Story (40:00) Remote Work Is Underrated in the Age of AI (44:00) The New Loneliness of Building With Agents (47:00) What He Still Can't Figure Out About Agents

35,776 views • 1 month ago

Inside Stripe's MPP IRL: machine payments, stablecoins, and the future of agent commerce. Agents are starting to pay for things on their own: API calls, services, each other. Nobody's agreed on how that should work. This panel was three takes on it. Jen (Stripe) leads product for Machine Payments — the open standard for how agents pay for things. Dan Romero (Tempo) is building stablecoin payment rails, and thinks that's what agent commerce runs on, not cards. Michael Blau (Royal) magician turned a16z Crypto partner turned CTO is exploring programmable money for creators, and why the demand side is barely here yet. We got into: • Why HTTP 402, a status code from the early web, is suddenly the backbone of agent payments • Why Dan thinks a credit card is a private key and why stablecoins are safer for agents • Where stablecoins actually win first • Whether you should build for agent payments now or wait • Why the demand side is "virtually nonexistent" and what that means if you're building 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Event Kickoff JEN LEE — Product Lead, Stripe (00:44) What the Machine Payments Protocol Is (01:28) How MPP Works — the HTTP 402 Payment Challenge (03:25) Adoption So Far: ~30,000 Transactions (04:04) Building Trust — Shared Tokens & the Link Agent Wallet (05:56) What the Creator Economy Looks Like When the Audience Is Agents (07:15) What She Was Certain About at 22 That's Now Wrong DAN ROMERO — GTM, Tempo (08:34) Meet Dan (08:49) Why Stablecoins, and the Genius Act Tailwind (09:48) "A Credit Card Is Basically a Private Key" (11:19) Should Every Company Be Thinking About MPP? (13:03) What to Be Wary Of (15:15) Where Stablecoins Win — Payouts, Remittances, DoorDash MICHAEL BLAU — CTO, Royal (16:36) Meet Michael (17:13) From Magician to a16z Crypto to CTO (17:57) Team Over Idea — His a16z Takeaway (18:26) "The Demand Side Is Virtually Nonexistent" (19:03) Closing

Inside Stripe's MPP IRL: machine payments, stablecoins, and the future of agent commerce. Agents are starting to pay for things on their own: API calls, services, each other. Nobody's agreed on how that should work. This panel was three takes on it. Jen (Stripe) leads product for Machine Payments — the open standard for how agents pay for things. Dan Romero (Tempo) is building stablecoin payment rails, and thinks that's what agent commerce runs on, not cards. Michael Blau (Royal) magician turned a16z Crypto partner turned CTO is exploring programmable money for creators, and why the demand side is barely here yet. We got into: • Why HTTP 402, a status code from the early web, is suddenly the backbone of agent payments • Why Dan thinks a credit card is a private key and why stablecoins are safer for agents • Where stablecoins actually win first • Whether you should build for agent payments now or wait • Why the demand side is "virtually nonexistent" and what that means if you're building 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Event Kickoff JEN LEE — Product Lead, Stripe (00:44) What the Machine Payments Protocol Is (01:28) How MPP Works — the HTTP 402 Payment Challenge (03:25) Adoption So Far: ~30,000 Transactions (04:04) Building Trust — Shared Tokens & the Link Agent Wallet (05:56) What the Creator Economy Looks Like When the Audience Is Agents (07:15) What She Was Certain About at 22 That's Now Wrong DAN ROMERO — GTM, Tempo (08:34) Meet Dan (08:49) Why Stablecoins, and the Genius Act Tailwind (09:48) "A Credit Card Is Basically a Private Key" (11:19) Should Every Company Be Thinking About MPP? (13:03) What to Be Wary Of (15:15) Where Stablecoins Win — Payouts, Remittances, DoorDash MICHAEL BLAU — CTO, Royal (16:36) Meet Michael (17:13) From Magician to a16z Crypto to CTO (17:57) Team Over Idea — His a16z Takeaway (18:26) "The Demand Side Is Virtually Nonexistent" (19:03) Closing

24,128 views • 29 days ago

"They said AI would replace design. Instead it proved how much design matters." That's Felix Lee's line, and he'd know. A VC told him at 20 that Singaporeans can't build companies. No design degree, rejected from the jobs he wanted. Then he built ADPList into the biggest free mentorship platform in the world instead. A million users, 40,000 mentors, 140 countries. We got into: •Why judgment, not pixels, is the real moat in design now •Why "originality is dead," and why similar-looking apps can both win •Why super-app clutter vs. Western minimalism is cultural, not a quality gap •Splitting with a co-founder the right way •The hiring mistakes he'd take back 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Oakland Ice Center Intro (00:47) From Singapore's National Skating Team (02:22) AI vs. Human Design (04:53) Is Originality Dead? (06:42) Designers vs. Engineers (08:23) Minimalism and Culture (10:55) Ethics and AI Trust (12:57) What ADPList Is (13:37) Closed Doors and Why He Built It (17:42) Quitting to Go All In (20:31) The Founder Outreach Playbook (26:04) Don Norman Lessons (28:56) Scaling Free Mentorship to a Million (31:57) Designing With Claude (33:59) Fable Workflows (41:51) Audience vs. Community (43:16) The PR Crisis (52:31) What Sports Taught Him About Failure (54:42) Splitting With a Co-Founder the Right Way (59:33) Hiring Mistakes (01:04:21) San Francisco Culture Shock (01:11:25) Long-Term Games

"They said AI would replace design. Instead it proved how much design matters." That's Felix Lee's line, and he'd know. A VC told him at 20 that Singaporeans can't build companies. No design degree, rejected from the jobs he wanted. Then he built ADPList into the biggest free mentorship platform in the world instead. A million users, 40,000 mentors, 140 countries. We got into: •Why judgment, not pixels, is the real moat in design now •Why "originality is dead," and why similar-looking apps can both win •Why super-app clutter vs. Western minimalism is cultural, not a quality gap •Splitting with a co-founder the right way •The hiring mistakes he'd take back 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Oakland Ice Center Intro (00:47) From Singapore's National Skating Team (02:22) AI vs. Human Design (04:53) Is Originality Dead? (06:42) Designers vs. Engineers (08:23) Minimalism and Culture (10:55) Ethics and AI Trust (12:57) What ADPList Is (13:37) Closed Doors and Why He Built It (17:42) Quitting to Go All In (20:31) The Founder Outreach Playbook (26:04) Don Norman Lessons (28:56) Scaling Free Mentorship to a Million (31:57) Designing With Claude (33:59) Fable Workflows (41:51) Audience vs. Community (43:16) The PR Crisis (52:31) What Sports Taught Him About Failure (54:42) Splitting With a Co-Founder the Right Way (59:33) Hiring Mistakes (01:04:21) San Francisco Culture Shock (01:11:25) Long-Term Games

17,863 views • 24 days ago

She quit $10K/month, left her 32,000-person community in Korea, and moved to San Francisco to build a startup... "You have to be delusional enough to think it will work, but extremely objective about the data." Cailyn Yong (Cailyn Y.) built Momo in public since day one: every pivot, every burnout, every co-founder breakup, documented for thousands to watch. She wasn't just building a product, she was building trust at scale and turning it into distribution. We sat down at Founders Inc, the place that changed everything for her, to talk about AI memory, building in public, and why the hardest part of founding had nothing to do with the product. Since our convo, Cailyn is now embarking on a new journey. Follow her to see what she's up to next👀 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (02:00) Leaving $10K/Month to Go All In on Momo (06:00) Getting Into Founders Inc. (From an ER in Vietnam) (09:30) "Get the F*** Off Localhost" (14:00) The Startup Graveyard: Eddie & CtrlX (17:00) Five Co-Founder Trials & What Trust Means (26:00) What Burnout Really Feels Like (33:00) People Relationships Are the Hardest Part of Founding (40:00) Delusional Enough to Think It'll Work (46:00) Building in Public: Dying Trend or Strongest Moat? (51:00) Three Memory Architecture Experiments (58:00) The OpenClaw Plugin & How Composio Fits In (01:05:00) Going Viral on X & Getting Her First Paying Client (01:11:00) Film School Dreams & The Billion-Dollar Vision This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more :)

She quit $10K/month, left her 32,000-person community in Korea, and moved to San Francisco to build a startup... "You have to be delusional enough to think it will work, but extremely objective about the data." Cailyn Yong (Cailyn Y.) built Momo in public since day one: every pivot, every burnout, every co-founder breakup, documented for thousands to watch. She wasn't just building a product, she was building trust at scale and turning it into distribution. We sat down at Founders Inc, the place that changed everything for her, to talk about AI memory, building in public, and why the hardest part of founding had nothing to do with the product. Since our convo, Cailyn is now embarking on a new journey. Follow her to see what she's up to next👀 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (02:00) Leaving $10K/Month to Go All In on Momo (06:00) Getting Into Founders Inc. (From an ER in Vietnam) (09:30) "Get the F*** Off Localhost" (14:00) The Startup Graveyard: Eddie & CtrlX (17:00) Five Co-Founder Trials & What Trust Means (26:00) What Burnout Really Feels Like (33:00) People Relationships Are the Hardest Part of Founding (40:00) Delusional Enough to Think It'll Work (46:00) Building in Public: Dying Trend or Strongest Moat? (51:00) Three Memory Architecture Experiments (58:00) The OpenClaw Plugin & How Composio Fits In (01:05:00) Going Viral on X & Getting Her First Paying Client (01:11:00) Film School Dreams & The Billion-Dollar Vision This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more :)

44,183 views • 2 months ago

When Lovable, the hottest AI coding company in the world quietly tried to acquire Rork, Daniel Dhawan mentioned it offhand to investors who had been on the fence. They went from completely uninterested to sending term sheets overnight. That's how he closed a $18M round. Rork is the world's largest AI mobile app builder. It one-shots any app, publishes directly to the App Store, generates screenshots, and with Roark Max, replaces Xcode entirely in the browser. Bolt and Lovable tried to crack mobile. They couldn't. Because they'd never shipped mobile apps. Daniel and his co-founder Levan Kvirkvelia have spent their entire careers doing exactly that and it shows. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (00:08) What Is Rork (01:06) Raising Amid Noise (03:25) Lovable Acquisition Buzz (05:06) Meet Daniel Dhawan (06:38) First Startup Origins (08:34) Coding Since Eleven (09:42) Culture And Motivation (11:09) Leaving Russia To SF (15:20) From Web To Mobile Pivot (19:28) George Makes Money (20:38) Launch And Viral Moment (23:25) Why Mobile Wins (26:10) Vibe Coding Explained (29:30) Missionaries Vs Mercenaries (32:30) Co Founder Levan Story (36:24) Who Really Builds Apps (40:19) Apple And Rork Games (41:06) Young Builders And Zaki (42:38) Living in the Future (44:21) SF Group Chat Dynamics (48:37) Eastern Europe and Soft Power (51:54) Authenticity in the AI Era (54:47) Why the Name Rork (56:54) Hiring Bar and Team Growth (01:00:52) Underdog Hacks and Shortcuts (01:04:10) Long Term Vision and Social Lifts (01:09:24) What If You Win Mindset (01:10:53) Trust Your Intuition (01:14:03) DMing for Hidden Talent (01:15:36) Final Thanks and Wrap This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more:)

When Lovable, the hottest AI coding company in the world quietly tried to acquire Rork, Daniel Dhawan mentioned it offhand to investors who had been on the fence. They went from completely uninterested to sending term sheets overnight. That's how he closed a $18M round. Rork is the world's largest AI mobile app builder. It one-shots any app, publishes directly to the App Store, generates screenshots, and with Roark Max, replaces Xcode entirely in the browser. Bolt and Lovable tried to crack mobile. They couldn't. Because they'd never shipped mobile apps. Daniel and his co-founder Levan Kvirkvelia have spent their entire careers doing exactly that and it shows. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (00:08) What Is Rork (01:06) Raising Amid Noise (03:25) Lovable Acquisition Buzz (05:06) Meet Daniel Dhawan (06:38) First Startup Origins (08:34) Coding Since Eleven (09:42) Culture And Motivation (11:09) Leaving Russia To SF (15:20) From Web To Mobile Pivot (19:28) George Makes Money (20:38) Launch And Viral Moment (23:25) Why Mobile Wins (26:10) Vibe Coding Explained (29:30) Missionaries Vs Mercenaries (32:30) Co Founder Levan Story (36:24) Who Really Builds Apps (40:19) Apple And Rork Games (41:06) Young Builders And Zaki (42:38) Living in the Future (44:21) SF Group Chat Dynamics (48:37) Eastern Europe and Soft Power (51:54) Authenticity in the AI Era (54:47) Why the Name Rork (56:54) Hiring Bar and Team Growth (01:00:52) Underdog Hacks and Shortcuts (01:04:10) Long Term Vision and Social Lifts (01:09:24) What If You Win Mindset (01:10:53) Trust Your Intuition (01:14:03) DMing for Hidden Talent (01:15:36) Final Thanks and Wrap This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more:)

42,861 views • 2 months ago

At 22, Dan Romero (Dan Romero) thought Bitcoin was stupid. Then he joined Coinbase 🛡️. Now Dan is GTM at Tempo and is one of the clearest voices explaining where stablecoins matter: •Cross-border payments: new companies are building entirely on stablecoin rails because they're internet-native and work across any country •Marketplace payouts: DoorDash is piloting paying restaurants after every single delivery, even on weekends "What's gonna make a real difference is the fact that stablecoins create tangible consumer and business benefit. Getting paid faster is something everyone can understand." Full convo below.

At 22, Dan Romero (Dan Romero) thought Bitcoin was stupid. Then he joined Coinbase 🛡️. Now Dan is GTM at Tempo and is one of the clearest voices explaining where stablecoins matter: •Cross-border payments: new companies are building entirely on stablecoin rails because they're internet-native and work across any country •Marketplace payouts: DoorDash is piloting paying restaurants after every single delivery, even on weekends "What's gonna make a real difference is the fact that stablecoins create tangible consumer and business benefit. Getting paid faster is something everyone can understand." Full convo below.

15,586 views • 28 days ago

I stopped people at Corgi Cafe and Corgi employees to ask what success looks like to them. Someone said becoming the Prime Minister of Canada. 👀 No one said money. If any of these answers resonate with you, without a doubt, SF is the place to be to 10x your goals and build a life you're proud of.

I stopped people at Corgi Cafe and Corgi employees to ask what success looks like to them. Someone said becoming the Prime Minister of Canada. 👀 No one said money. If any of these answers resonate with you, without a doubt, SF is the place to be to 10x your goals and build a life you're proud of.

15,654 views • 1 month ago

Single until Series B makes sense to me now. Conor (conor brennan-burke) finally breaks his silence on the movement, and his reasoning is more nuanced than the X discourse suggests. At the end of our podcast I asked him to expand on his thoughts on dating as a founder. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Trend Backlash (00:35) Origin Story Explained (01:19) Why Series B Matters (02:11) Not Anti Relationship (02:46) Risks of Dating Mid Build (04:33) Guilt and Founder Singles (05:55) Meta Strategy to Live Best Life (07:18) High Bar Romance (07:51) Wrap Up

Single until Series B makes sense to me now. Conor (conor brennan-burke) finally breaks his silence on the movement, and his reasoning is more nuanced than the X discourse suggests. At the end of our podcast I asked him to expand on his thoughts on dating as a founder. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Trend Backlash (00:35) Origin Story Explained (01:19) Why Series B Matters (02:11) Not Anti Relationship (02:46) Risks of Dating Mid Build (04:33) Guilt and Founder Singles (05:55) Meta Strategy to Live Best Life (07:18) High Bar Romance (07:51) Wrap Up

19,765 views • 3 months ago

Adil moved to San Francisco and caught Sam Altman on the street within 48 hours. He asked him the funniest thing he'd seen someone do with @ChatGPTapp. The video hit half a million views. Half the comments were "how did you do that." The other half were "why'd you ask such a stupid question." That's kind of the whole point of what he's building. Before SF, Adil Mania. was the "TikTok startup guy" in France. Millions of views, celebrity interviews, the French Shark Tank on TikTok. Then he quit at the top in 2023, because everything looked perfect from the outside and something was wrong on the inside. He took a break, and came back with something more global. Now he runs Silicon Mania, and the mission is simple: MAKE TECH FUN AGAIN. His read is that tech markets itself terribly: people are scared of Waymos and suspicious of AI not because the products are bad, but because nobody tells the story well."It's a marketing problem, not a product problem." His advice for anyone who wants to build what he's building: There's space. Hollywood has thousands of studios. Tech has maybe five people making it fun. We need hundreds. Don't come to SF to start. Start anywhere. Come here to make it big. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (01:30) The Buzzer & Silicon Mania's Latest Drop (04:00) The TikTok Startup Guy in France (07:00) Why He Quit at the Top in 2023 (10:00) Build Space, Farza & the Road to SF (13:00) Interviewing Arnault, Macron & Getting Punched by a Bodyguard (17:00) How to Approach Anyone for an Interview (20:00) Catching Sam Altman 48 Hours Off the Plane (24:00) "Make Tech Fun Again" & Use the Waymos (28:00) The City Should Be a City, Not a Hotel (32:00) How He Makes the Recaps (Nano Banana + Grok) (36:00) Why Companies Should Reach Out to Creators (40:00) A67Z Company, the Netflix Method & Building for the GOATs (44:00) Deadlines Over Perfection (48:00) $40K a Month & the Trap of Chasing Money (52:00) Be Alone (Not Lonely) (56:00) Be Yourself — There's Only One You This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more :)

Adil moved to San Francisco and caught Sam Altman on the street within 48 hours. He asked him the funniest thing he'd seen someone do with @ChatGPTapp. The video hit half a million views. Half the comments were "how did you do that." The other half were "why'd you ask such a stupid question." That's kind of the whole point of what he's building. Before SF, Adil Mania. was the "TikTok startup guy" in France. Millions of views, celebrity interviews, the French Shark Tank on TikTok. Then he quit at the top in 2023, because everything looked perfect from the outside and something was wrong on the inside. He took a break, and came back with something more global. Now he runs Silicon Mania, and the mission is simple: MAKE TECH FUN AGAIN. His read is that tech markets itself terribly: people are scared of Waymos and suspicious of AI not because the products are bad, but because nobody tells the story well."It's a marketing problem, not a product problem." His advice for anyone who wants to build what he's building: There's space. Hollywood has thousands of studios. Tech has maybe five people making it fun. We need hundreds. Don't come to SF to start. Start anywhere. Come here to make it big. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (01:30) The Buzzer & Silicon Mania's Latest Drop (04:00) The TikTok Startup Guy in France (07:00) Why He Quit at the Top in 2023 (10:00) Build Space, Farza & the Road to SF (13:00) Interviewing Arnault, Macron & Getting Punched by a Bodyguard (17:00) How to Approach Anyone for an Interview (20:00) Catching Sam Altman 48 Hours Off the Plane (24:00) "Make Tech Fun Again" & Use the Waymos (28:00) The City Should Be a City, Not a Hotel (32:00) How He Makes the Recaps (Nano Banana + Grok) (36:00) Why Companies Should Reach Out to Creators (40:00) A67Z Company, the Netflix Method & Building for the GOATs (44:00) Deadlines Over Perfection (48:00) $40K a Month & the Trap of Chasing Money (52:00) Be Alone (Not Lonely) (56:00) Be Yourself — There's Only One You This is a Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more :)

13,685 views • 1 month ago

The best AI startup isn't being built in SF right now. Software engineering is the easiest job in the world. NVIDIA won't be the future of AI hardware. Solo founders are doomed to fail. These are just some of the hot takes we got Toronto Tech Week's Cursor event... Watch full video below. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (00:31) AI Startup Not in SF (00:45) Coding Is Too Easy (01:17) Networking Is a Game (01:52) Post Nvidia AI Future (02:16) Solo Founders Fail (02:28) AI Hits Consciousness Wall (02:34) North America Bad Fashion (02:56) Self Hosted SLM Takeover (03:13) Codex vs Claude Code (03:28) Underdog Universities Win (03:37) LinkedIn Posting Advantage (04:04) Wrap Up

The best AI startup isn't being built in SF right now. Software engineering is the easiest job in the world. NVIDIA won't be the future of AI hardware. Solo founders are doomed to fail. These are just some of the hot takes we got Toronto Tech Week's Cursor event... Watch full video below. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro (00:31) AI Startup Not in SF (00:45) Coding Is Too Easy (01:17) Networking Is a Game (01:52) Post Nvidia AI Future (02:16) Solo Founders Fail (02:28) AI Hits Consciousness Wall (02:34) North America Bad Fashion (02:56) Self Hosted SLM Takeover (03:13) Codex vs Claude Code (03:28) Underdog Universities Win (03:37) LinkedIn Posting Advantage (04:04) Wrap Up

11,069 views • 3 months ago

hi female founders, this one’s for u. it’s clear there’s a real gap for initiatives like this. me and the girls are filling this gap. jan 8-11th all expenses paid retreat in a luxury cottage. no boys allowed. apply link in comments ;)

hi female founders, this one’s for u. it’s clear there’s a real gap for initiatives like this. me and the girls are filling this gap. jan 8-11th all expenses paid retreat in a luxury cottage. no boys allowed. apply link in comments ;)

20,709 views • 9 months ago

At 16, with zero programming knowledge, Tejas taught himself to build a website for the motel he grew up in. It made $48K/year. Tejas Bhakta grew up literally living in a Budget Inn motel in Anaheim — from birth until he was 18. "My parents only did sixth grade, there was really no means for them to build the website or even set up wifi." "I barely knew how to code, so I was hacking something together with WordPress." That same instinct to just figure it out carried him to Tesla, to YC, to founding Morph. Watch the full Composio interview here:

At 16, with zero programming knowledge, Tejas taught himself to build a website for the motel he grew up in. It made $48K/year. Tejas Bhakta grew up literally living in a Budget Inn motel in Anaheim — from birth until he was 18. "My parents only did sixth grade, there was really no means for them to build the website or even set up wifi." "I barely knew how to code, so I was hacking something together with WordPress." That same instinct to just figure it out carried him to Tesla, to YC, to founding Morph. Watch the full Composio interview here:

11,338 views • 5 months ago

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