5 Harsh Truths About Wealth You Don't Want to Realize Too Late | Sahil Bloom
Sahil is the founder, investor, and New York Times bestselling author of The Five Types of Wealth. In our chat, he shares some profound life lessons that will be a wake-up call for any high achiever in tech and exactly how he grew to 1M+ followers.Timestamps:(00:00) The one thing high-achievers are missing(02:58) The five types of wealth that create a truly rich life (08:31) The conversation that completely changed Sahil's POV (13:38) What would make him instantly reject a $100M job offer (17:33) Hidden insecurities of the world's most successful people (19:04) The devastating truth about how little time you have with your kids (26:54) This 85-year Harvard study reveals the key to living longer (34:10) Sahil's creator journey and the drivers of his million-follower growth (41:05) The framework for deciding what to delegate vs. do yourselfWhere to find Sahil:YouTube: @Sahil_Bloom Book: https://www.the5typesofwealth.com/ Get the takeaways: https://creatoreconomy.so/p/5-harsh-truths-about-wealth-you-dont-want-to-realize-too-late 📌 Subscribe to this channel – more interviews coming soon!
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He Built Uber Eats to $25B, Now He's Pushing AI Beyond Chat | Stephen Chau
My guest today is Stephen Chau.Stephen is the co-founder of Cove, a Sequoia-backed startup that lets you interact with AI through a ground-breaking visual interface instead of chat. We had a great chat about why the future of AI is generative UI, how to build great AI products, and how he scaled Uber Eats from $0 to $25B.This episode is brought to you by Merge — Merge gives SaaS companies like Ramp and Drata a single API to launch over 200 product integrations fast. Book a meeting via https://www.merge.dev/peteryang and get a $50 Amazon gift card when you attend.Timestamps: (00:00) The future of AI is generative UI(01:53) Demoing Cove's visual AI interface for trip planning(05:02) Beyond chatbots: Co-creating with AI in a natural way(09:01) Context-aware AI that updates content automatically(11:11) Putting AI to the test to list premium Japanese snacks(14:02) Building AI apps directly within your workspace(16:35) Demoing real world use cases for visual AI interfaces(27:39) Generative UI and just-in-time AI apps(31:16) Why chatbots are the "DOS stage" of AI interfaces(45:44) The secret to building Uber Eats to $25B(54:51) The best way to build your AI product senseGet the takeaways: https://creatoreconomy.so/p/he-built-uber-eats-now-pushing-ai-beyond-chat-stephen-chauWhere to find Stephen:LinkedIn: https://www.linkedin.com/in/stephenchau/Website: https://cove.ai/📌 Subscribe to this channel – more interviews coming soon!
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I Built a $100M Company in 3 Years by Betting on AI Agents | Arvind Jain (CEO Glean)
My guest today is Arvind Jain.Arvind is the CEO of Glean and believes every employee should have a team of AI agents to help them get work done. We had a great chat about how AI agents will impact work and Arvind’s top lessons from scaling Glean to $100M ARR in 3 years.This episode is brought to you by Merge — Merge gives SaaS companies like Ramp and Drata a single API to launch over 200 product integrations fast. Book a meeting via www.merge.dev/peteryang and get a $50 Amazon gift card when you attend.Timestamps:(00:00) How to find job security with AI(03:10) Everyone will manage a team of AI agents(05:53) Is PM well positioned to thrive with AI?(10:27) How anyone can build powerful AI agents now(12:28) Three real barriers to enterprise AI adoption(17:34) How Glean reached $100M ARR in only 3 years(22:52) Making AI work with messy internal company data(26:51) Critical skills you need to build to craft AI products(33:33) Are 5-year plans completely worthless?(36:12) Glean's vision is to give everyone an AI teamGet the takeaways: https://creatoreconomy.so/p/100m-company-in-3-years-ai-agents-glean-arvind-jainWhere to find Arvind:LinkedIn: https://www.linkedin.com/in/jain-arvind/Website: https://www.glean.com/📌 Subscribe to this channel – more interviews coming soon!
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Exclusive: Inside the Best AI Model for Coding and Writing | Scott White (Anthropic)
My guest today is Scott White.Scott is the Head of Product for Claude at Anthropic, and I’m excited to be the first to interview him about the hybrid reasoning AI model Claude 3.7 Sonnet. Scott also gave me a behind-the-scenes look at how Anthropic builds AI products, the most essential skills in the AI era, and how Claude will evolve from assistant to agent.This episode is brought to you by Vanta — Join 9,000+ companies like Atlassian and Quora, and use Vanta to manage risk and prove security in real time. Get $1000 off at vanta.com/peterScott and I talked about:(00:00) How Claude will evolve from assistant to agent(01:58) Inside Claude 3.7: The first hybrid reasoning AI(04:51) How Claude became best in class at coding(08:50) Top 3 ways that Scott uses Claude to build Claude(13:49) PMs can now design and collapse the talent stack(17:00) Will AI models become commoditized, and Claude's personality (22:34) How to work with AI researchers(27:20) Step by step how Scott builds AI product(32:37) Why every PM must master writing AI evals(35:53) If Mike Krieger has brought Instagram's principles to Anthropic(38:41) How to get hired at Anthropic(43:01) Flipping the script on Claude's futureGet the takeaways: https://creatoreconomy.so/p/inside-the-best-ai-model-for-coding-claude-scott-white Where to find Scott:LinkedIn: https://www.linkedin.com/in/scottiewhite/Website: https://claude.ai/ 📌 Subscribe to this channel – more interviews coming soon!
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AI Does 90% of My Work Now as a Product Leader | Yana Welinder (Kraftful)
My guest today is Yana Welinder.Yana is the CEO of Kraftful, an AI product that helps 50,000 product teams extract insights from user reviews and surveys. She’s also a power user of ChatGPT and did a live demo of her top AI workflows for Deep Research and Operator.Timestamps:(00:00) At this point, I’m not doing anything without AI(01:38) Live demo of Operator automating product work(08:07) Using Deep Research for competitive analysis(11:05) Unlocking Deep Research to get medical advice(13:29) More everyday use cases for AI you might not know about(19:07) The key problem with AI startups(22:32) What should the PM actually do if AI will do everything?(25:36) The ups and downs of being an AI founder(29:02) How to balance prompting, RAG, fine-tuning, and evals(32:09) The right time horizon to plan for AIGet the takeaways: https://creatoreconomy.so/p/ai-does-my-work-now-as-a-product-leader-yanaWhere to find Yana:X: https://x.com/yanatweetsWebsite: https://www.kraftful.com/📌 Subscribe to this channel – more interviews coming soon!
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