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Tariffs are sprouting more problems than profits for America's farmers. Andrew Wilkinson speaks with Dan Basse of AgResource to dig into the trade war's real cost—on crops, consumers, and the future of global agriculture.
Does your calendar align with what you say matters most? Kevin sits down with Ryan Matt Reynolds, to talk about the impact of living in a constant state of urgency. He emphasizes the importance of identifying core values and intentionally aligning daily actions with those values. The conversation also covers the voluntary hardship of choosing challenging, growth-oriented tasks to build resilience for when things go wrong (and they will). They also discuss the practice of delegation and the difference between fleeting happiness and long-term joy. Listen For 00:00 Introduction 01:59 Meet Ryan Matt Reynolds 03:30 The journey to writing Undoing Urgency 05:28 Why urgency is a universal issue 06:20 The deeper purpose behind the book 08:53 Why urgency matters to Ryan personally 10:03 The link between urgency and core values 12:05 Lessons learned through failure 13:24 Writing a legacy for future generations 14:07 From “busy” to what really matters 15:06 Hardships are part of life but what kind? 15:28 The concept of voluntary hardship 17:33 Voluntary hardship prepares us for the involuntary 19:29 Practical hardships in leadership and life 20:16 Delegation as a leadership turning point 21:10 Letting go to grow 23:49 Building a leadership team 25:43 Training your team to take ownership 27:19 Moving from technician to CEO 28:00 Joy vs happiness 29:40 Why joy comes from alignment with core values 31:13 Finding joy in the process not the destination 33:12 Teaching our kids and teams about joy 34:49 What Ryan does for fun 35:33 Intentional time for what matters 37:14 Your calendar is a truth teller 38:07 Urgency vs importance 39:16 Book recommendation: Never Enough by Andrew Wilkinson 40:51 Final thoughts on values joy and learning 44:44 Outro and reminder to subscribe Ryan's Story: Ryan Matt Reynolds is the author of Undoing Urgency: Reclaim Your Time for the Things That Matter Most, a strength and conditioning coach, and a former professional strongman. He is the founder, owner, and CEO of Barbell Logic, one of the largest online strength and nutrition coaching companies in the world. With 25 years of experience in his industry, Reynolds' focus is on redefining traditional personal training by creating connections in the online space and increasing access to professional coaches. https://x.com/ReynoldsSTRONG This Episode is brought to you by... Flexible Leadership is every leader's guide to greater success in a world of increasing complexity and chaos. Book Recommendations Undoing Urgency: Reclaim Your Time for the Things that Matter Most by Ryan Matt Reynolds The E-Myth Revisited: Why Most Small Businesses Don't Work and What to Do About It by Michael E. Gerber The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers by Ben Horowitz Never Enough: From Barista to Billionaire by Andrew Wilkinson Like this? Leadership Productivity Principles with Maura Thomas How to Pay Attention in a Distracted World with Christian Madsbjerg Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes Podcast Better! Sign up with Libsyn and get up to 2 months free! Use promo code: RLP
In this episode of the IBKR Podcast, we unpack the latest tariff turmoil and why Wall Street isn't playing along. Chief Market Strategist Steve Sosnick and Senior Economist Jose Torres join host Andrew Wilkinson to explore the political calculus, economic fallout, and whether the Fed—or the White House—will flinch first.
Join me as I chat with Andrew Wilkinson, Co-Founder of Tiny, as we discuss investment and startup ideas in the current AI landscape. We explore how AI is simultaneously lowering barriers to entry while increasing competition, making it easier to build "million-dollar businesses" but harder to create sustainable long-term ventures. We share specific startup ideas leveraging AI, including secure data integration platforms, automated web design services, and AI-powered lending.Timestamps:00:00 - Intro01:25 - Business building in AI08:13 - Media Business Opportunities and AI 18:18 - The future of GPT wrappers21:20 - Automation and AI tools we use29:14 - Startup Idea 1: MCP and Financial Analysis34:49 - Startup Idea 2: AI Web Design Agency 37:06 - Startup Idea 3: Message Maxing43:43 - Startup Idea 4: AI-Based Lending Solutions49:43 - Andrew's Stealth Startup Key Points• AI is making it easier to build businesses but harder to maintain competitive advantages as tools become widely accessible• Distribution, data advantages, and network effects are becoming the primary moats in the AI era• Media businesses with high-value niches present opportunities for entrepreneurs to build audiences before layering AI tools• Secure AI applications (particularly around financial data and personal communications) represent potential sustainable business models1) The AI Paradox: It's never been EASIER to build a $1M business, but never HARDER to build sustainable value.Why? Because anyone can "vibe code" your product in a weekend.Distribution and network effects are the new moats. Tools alone won't cut it anymore.2) Where are the ACTUAL opportunities?Andrew & Greg agree: Buy or build MEDIA businesses first, then layer AI on top.• Focus on High-value niches not mass audiences• Build community BEFORE tools• Example: Buy TechCrunch or event series like South by Southwest3) AI tools they're actually using RIGHT NOW:• Gumloop - For sales lead intelligence• Lindy - Email processing & calendar management• Manus AI - For candidate screening (saved Andrew hours!)• Vercel V0 - Rebuilt Andrew's pressure washing website in 30 SECONDS4) Startup Idea 1: "Secure MCP"Model Context Protocol (MCP) lets LLMs access your data securely.Andrew built a custom system to analyze his company finances across multiple businesses.Opportunity: Build the "1Password of MCP" - where security is the selling point.5) Startup Idea 2: "Message Maxing"An app that analyzes your text messages to identify:• Which friends exhibit toxic traits• How YOU come across in messages• Who you're neglectingPerfect for viral TikTok marketing. Could be the next CalAI!6) Startup Idea 3: AI-powered web design agency• Use V0 to auto-redesign ugly local business websites• Reach out with "I already built you a better site"• Charge $500 + $20/mo hosting• Scale with automationLow-hanging fruit for your first million!7) Startup Idea 4: "Bank of Vibe Coding"AI-powered lending platform for vibe coders:• Quick approval for developers with traction• Take % of profits instead of interest• Criteria: X followers, Stripe integration, etc.Sahil Lavingia's $100K offer proves demand!8) The BIG question: Are these Cal AI businesses (make $1M then die) or sustainable?Andrew's take: "Almost all these businesses will be zeros in 5 years."Greg's counter: "It's so hard to predict even 5 months from now!"What do YOU think? Are you building for the short or long term?The MOST VALUABLE insight: The businesses that are easiest to start are often the worst businesses to be in long-term.But that doesn't mean you shouldn't start one! Making your first million with a "Cal AI business" is still a win.Notable Quotes:"It's never been easier to build a million dollar business and it's never been easier to lose all your equity value." - Andrew"Distribution is the new moat, anyone could create anything." - GregLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire — a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND ANDREW ON SOCIALX/Twitter: https://x.com/awilkinsonNever Enough: https://www.neverenough.comTiny: https://www.tiny.com
Trade tensions, tech booms, and stimulus surges—how is China's market evolving? Andrew Wilkinson and Xiaolin Chen dive into U.S.-China investments, policy shifts, and the future of AI-driven growth.
Where are you running to?Series: Hebrews Preacher: Andrew WilkinsonDate: 2nd March 2025
Morgan and Tod dive into Charlie Munger's Mental Models and the concept of latticework with guest Andrew Wilkinson, exploring how these principles apply to educational leadership. With an intriguing twist, they analyze the role of incentives and engage in a lively debate on how to help Gen Z teachers thrive within traditional school structures. Insightful, thought-provoking, and packed with leadership wisdom- this episode looks at how we can take lessons learned from other sectors and apply them to education.
Stephen Yiu joins Andrew Wilkinson to reveal his strategy for spotting companies that defy market chaos. From AI to sports betting, see how global trends drive his winning investments.
In Where's the Moat?, Andrew Wilkinson and Steve Sosnick break down the seismic shift in the AI landscape, exploring how DeepSeek's disruptive model challenges NVIDIA's dominance and reshapes investor expectations. Is the AI gold rush facing a reckoning, or just evolving into a new era?
My First Million: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- Get our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 670: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Andrew Wilkinson ( https://x.com/awilkinson ) about the AI tools that are replacing new hires. — Show Notes: (0:00) AI to kill admin work (7:37) the K-shaped future (16:29) 24/7 agents in your business (25:46) Software is the new commodity (38:40) Andrew's AI hedge investments (50:56) Buy, sell, or hold — Links: Lindy - https://www.lindy.ai/ Howie - https://howie.ai/ Fyxer - https://www.fyxer.com/ Fathom - https://fathom.video/ Otter - https://otter.ai/ Claude - https://claude.ai/ Zero - https://zerotax.ai/ Replit - https://replit.com/ Constellation - https://www.csisoftware.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano
My First Million Key Takeaways Check out the episode pageRead the full notes @ podcastnotes.orgGet our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 670: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Andrew Wilkinson ( https://x.com/awilkinson ) about the AI tools that are replacing new hires. — Show Notes: (0:00) AI to kill admin work (7:37) the K-shaped future (16:29) 24/7 agents in your business (25:46) Software is the new commodity (38:40) Andrew's AI hedge investments (50:56) Buy, sell, or hold — Links: Lindy - https://www.lindy.ai/ Howie - https://howie.ai/ Fyxer - https://www.fyxer.com/ Fathom - https://fathom.video/ Otter - https://otter.ai/ Claude - https://claude.ai/ Zero - https://zerotax.ai/ Replit - https://replit.com/ Constellation - https://www.csisoftware.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano
Get our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 670: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Andrew Wilkinson ( https://x.com/awilkinson ) about the AI tools that are replacing new hires. — Show Notes: (0:00) AI to kill admin work (7:37) the K-shaped future (16:29) 24/7 agents in your business (25:46) Software is the new commodity (38:40) Andrew's AI hedge investments (50:56) Buy, sell, or hold — Links: Lindy - https://www.lindy.ai/ Howie - https://howie.ai/ Fyxer - https://www.fyxer.com/ Fathom - https://fathom.video/ Otter - https://otter.ai/ Claude - https://claude.ai/ Zero - https://zerotax.ai/ Replit - https://replit.com/ Constellation - https://www.csisoftware.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano
There has been a large increase in the number of non-invasive neurovascular studies performed in the last decade, particularly CT angiograms and MR angiograms. What has this meant for catheter-based angiography? This episode looks at an analysis done on a large claims database in the USA, to observe trends in imaging modalities, as well as the distinctions in use by neurosurgeons and radiologists. Dr Felipe C. Albuquerque, Editor-in-Chief of JNIS, interviews Dr. Francis Jareczek¹ and Dr. D. Andrew Wilkinson¹, two of the authors of the paper: National trends in catheter angiography and cerebrovascular imaging in a group of privately insured patients in the US. 1. Neurosurgery, Penn State Health Milton S Hershey Medical Center, Hershey, Pennsylvania, USA Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.
Get my Monthly Newsletter here In this episode, Erica shares her top three business book recommendations from 2024 and three bonus reads unrelated to business that left an impact on her. 00:00 Introduction to Consultants and Money Podcast 00:48 Personal Journey with Reading 02:16 Top Business Books of 2024 05:15 Bonus: Non-Business Books That Made an Impact 07:58 Closing Remarks and Holiday Wishes ____________________ Your 2025 "To Be Read" List: The Simple Path to Wealth by JL Collins | https://a.co/d/4bkAkQl Slow Productivity by Cal Newport | https://a.co/d/5a8Ts68 Never Enough by Andrew Wilkinson | https://a.co/d/gYnSyyi Breath by James Nestor | https://a.co/d/ckssTtK Destiny of the Republic by Candice Millard | https://a.co/d/80kCZ5p The Giver by Lois Lowry | https://a.co/d/5q67wyd ____________________ Connect with Erica | LinkedIn | Website | Newsletter
Join Eric Norland, Chief Economist at CME Group, as he unpacks the forces shaping global markets in 2024 and beyond, including inflation trends, oil dynamics, and the evolving role of gold. Hosted by IBKR's Andrew Wilkinson, this episode explores economic shifts and emerging opportunities for investors.
Andrew's Website & New Book: https://www.neverenough.com/ Andrew's Social Media: Twitter: https://x.com/awilkinson YouTube: @NeverEnough2024 Instagram: https://www.instagram.com/awilkinson/ LinkedIn: https://www.linkedin.com/in/awilkinson/ ————————————
Amjad Masad is the co-founder and CEO of Replit, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. Prior to Replit, Amjad worked at Facebook, where he led the JavaScript infrastructure team and contributed to popular open-source developer tools. Additionally, he played a key role as a founding engineer at the online coding school Codecademy. In our conversation, Amjad shares:• A live demo of Replit in action• How Replit's AI agent can build full-stack web applications from a simple text prompt• The implications of AI-powered development for product managers, designers, and engineers• How this might reshape companies and careers• Why being “generative” will become an increasingly valuable skill• “Amjad's law” and how learning to debug AI-generated code is becoming ever more valuable• Much more—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Persona—A global leader in digital identity verification• LinkedIn Ads—Reach professionals and drive results for your business—Find the transcript at: https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad—Where to find Amjad Masad:• X: https://x.com/amasad• LinkedIn: https://www.linkedin.com/in/amjadmasad/• Website: https://amasad.me/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Amjad Masad and Replit(02:41) The vision and challenges of Replit(06:50) Replit's growth and user stories(10:49) Demo of Replit's capabilities(16:51) Building and iterating with Replit(25:04) Real-world applications and use cases(30:13) The technology stack(33:48) The evolution of Replit and its capabilities(39:36) The future of AI in software development(44:04) Skills for the future: generative thinking and coding(47:26) Amjad's law(50:36) Replit's new developments and future plans—Referenced:• Replit: https://replit.com/• Cursor: https://www.cursor.com• Aman Mathur on LinkedIn: https://www.linkedin.com/in/aman-mathur/• Node: https://nodejs.org/en• Claude: https://claude.ai/• Salesforce: https://www.salesforce.com/• Wasm: https://webassembly.org/• Figma: https://www.figma.com/• Codecademy: https://www.codecademy.com/• Hacker News: https://news.ycombinator.com/news• Paul Graham's website: https://www.paulgraham.com/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox• Anthropic: https://www.anthropic.com/• Open AI: https://openai.com/• Amjad's tweet about “society of models”: https://x.com/amasad/status/1568941103709290496• About HCI: https://www.designdisciplin.com/p/hci-profession• Taylor Swift's website: https://www.taylorswift.com/• Andrew Wilkinson on LinkedIn: https://www.linkedin.com/in/awilkinson/• Haya Odeh on LinkedIn: https://www.linkedin.com/in/haya-odeh-b0725928/• Amjad's law: https://x.com/snowmaker/status/1847377464705896544• Ray Kurzweil's website: https://www.thekurzweillibrary.com/• God of the gaps: https://en.wikipedia.org/wiki/God_of_the_gaps—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe
This podcast episode features Andrew Wilkinson and Dr. Xiaolin Chen, who discuss the recent government stimulus in China and its implications for the economy. Dr. Chen highlights the significance of the timing of the stimulus, suggesting that it aligns with the Federal Reserve's actions, allowing the People's Bank of China to synchronize its interest rate policies with the U.S.
Alessio will be at AWS re:Invent next week and hosting a casual coffee meetup on Wednesday, RSVP here! And subscribe to our calendar for our Singapore, NeurIPS, and all upcoming meetups!We are still taking questions for our next big recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!If you've been following the AI agents space, you have heard of Lindy AI; while founder Flo Crivello is hesitant to call it "blowing up," when folks like Andrew Wilkinson start obsessing over your product, you're definitely onto something.In our latest episode, Flo walked us through Lindy's evolution from late 2022 to now, revealing some design choices about agent platform design that go against conventional wisdom in the space.The Great Reset: From Text Fields to RailsRemember late 2022? Everyone was "LLM-pilled," believing that if you just gave a language model enough context and tools, it could do anything. Lindy 1.0 followed this pattern:* Big prompt field ✅* Bunch of tools ✅* Prayer to the LLM gods ✅Fast forward to today, and Lindy 2.0 looks radically different. As Flo put it (~17:00 in the episode): "The more you can put your agent on rails, one, the more reliable it's going to be, obviously, but two, it's also going to be easier to use for the user."Instead of a giant, intimidating text field, users now build workflows visually:* Trigger (e.g., "Zendesk ticket received")* Required actions (e.g., "Check knowledge base")* Response generationThis isn't just a UI change - it's a fundamental rethinking of how to make AI agents reliable. As Swyx noted during our discussion: "Put Shoggoth in a box and make it a very small, minimal viable box. Everything else should be traditional if-this-then-that software."The Surprising Truth About Model LimitationsHere's something that might shock folks building in the space: with Claude 3.5 Sonnet, the model is no longer the bottleneck. Flo's exact words (~31:00): "It is actually shocking the extent to which the model is no longer the limit. It was the limit a year ago. It was too expensive. The context window was too small."Some context: Lindy started when context windows were 4K tokens. Today, their system prompt alone is larger than that. But what's really interesting is what this means for platform builders:* Raw capabilities aren't the constraint anymore* Integration quality matters more than model performance* User experience and workflow design are the new bottlenecksThe Search Engine Parallel: Why Horizontal Platforms Might WinOne of the spiciest takes from our conversation was Flo's thesis on horizontal vs. vertical agent platforms. He draws a fascinating parallel to search engines (~56:00):"I find it surprising the extent to which a horizontal search engine has won... You go through Google to search Reddit. You go through Google to search Wikipedia... search in each vertical has more in common with search than it does with each vertical."His argument: agent platforms might follow the same pattern because:* Agents across verticals share more commonalities than differences* There's value in having agents that can work together under one roof* The R&D cost of getting agents right is better amortized across use casesThis might explain why we're seeing early vertical AI companies starting to expand horizontally. The core agent capabilities - reliability, context management, tool integration - are universal needs.What This Means for BuildersIf you're building in the AI agents space, here are the key takeaways:* Constrain First: Rather than maximizing capabilities, focus on reliable execution within narrow bounds* Integration Quality Matters: With model capabilities plateauing, your competitive advantage lies in how well you integrate with existing tools* Memory Management is Key: Flo revealed they actively prune agent memories - even with larger context windows, not all memories are useful* Design for Discovery: Lindy's visual workflow builder shows how important interface design is for adoptionThe Meta LayerThere's a broader lesson here about AI product development. Just as Lindy evolved from "give the LLM everything" to "constrain intelligently," we might see similar evolution across the AI tooling space. The winners might not be those with the most powerful models, but those who best understand how to package AI capabilities in ways that solve real problems reliably.Full Video PodcastFlo's talk at AI Engineer SummitChapters* 00:00:00 Introductions * 00:04:05 AI engineering and deterministic software * 00:08:36 Lindys demo* 00:13:21 Memory management in AI agents * 00:18:48 Hierarchy and collaboration between Lindys * 00:21:19 Vertical vs. horizontal AI tools * 00:24:03 Community and user engagement strategies * 00:26:16 Rickrolling incident with Lindy * 00:28:12 Evals and quality control in AI systems * 00:31:52 Model capabilities and their impact on Lindy * 00:39:27 Competition and market positioning * 00:42:40 Relationship between Factorio and business strategy * 00:44:05 Remote work vs. in-person collaboration * 00:49:03 Europe vs US Tech* 00:58:59 Testing the Overton window and free speech * 01:04:20 Balancing AI safety concerns with business innovation Show Notes* Lindy.ai* Rick Rolling* Flo on X* TeamFlow* Andrew Wilkinson* Dust* Poolside.ai* SB1047* Gathertown* Sid Sijbrandij* Matt Mullenweg* Factorio* Seeing Like a StateTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:12]: Hey, and today we're joined in the studio by Florent Crivello. Welcome.Flo [00:00:15]: Hey, yeah, thanks for having me.Swyx [00:00:17]: Also known as Altimore. I always wanted to ask, what is Altimore?Flo [00:00:21]: It was the name of my character when I was playing Dungeons & Dragons. Always. I was like 11 years old.Swyx [00:00:26]: What was your classes?Flo [00:00:27]: I was an elf. I was a magician elf.Swyx [00:00:30]: Well, you're still spinning magic. Right now, you're a solo founder and CEO of Lindy.ai. What is Lindy?Flo [00:00:36]: Yeah, we are a no-code platform letting you build your own AI agents easily. So you can think of we are to LangChain as Airtable is to MySQL. Like you can just pin up AI agents super easily by clicking around and no code required. You don't have to be an engineer and you can automate business workflows that you simply could not automate before in a few minutes.Swyx [00:00:55]: You've been in our orbit a few times. I think you spoke at our Latent Space anniversary. You spoke at my summit, the first summit, which was a really good keynote. And most recently, like we actually already scheduled this podcast before this happened. But Andrew Wilkinson was like, I'm obsessed by Lindy. He's just created a whole bunch of agents. So basically, why are you blowing up?Flo [00:01:16]: Well, thank you. I think we are having a little bit of a moment. I think it's a bit premature to say we're blowing up. But why are things going well? We revamped the product majorly. We called it Lindy 2.0. I would say we started working on that six months ago. We've actually not really announced it yet. It's just, I guess, I guess that's what we're doing now. And so we've basically been cooking for the last six months, like really rebuilding the product from scratch. I think I'll list you, actually, the last time you tried the product, it was still Lindy 1.0. Oh, yeah. If you log in now, the platform looks very different. There's like a ton more features. And I think one realization that we made, and I think a lot of folks in the agent space made the same realization, is that there is such a thing as too much of a good thing. I think many people, when they started working on agents, they were very LLM peeled and chat GPT peeled, right? They got ahead of themselves in a way, and us included, and they thought that agents were actually, and LLMs were actually more advanced than they actually were. And so the first version of Lindy was like just a giant prompt and a bunch of tools. And then the realization we had was like, hey, actually, the more you can put your agent on Rails, one, the more reliable it's going to be, obviously, but two, it's also going to be easier to use for the user, because you can really, as a user, you get, instead of just getting this big, giant, intimidating text field, and you type words in there, and you have no idea if you're typing the right word or not, here you can really click and select step by step, and tell your agent what to do, and really give as narrow or as wide a guardrail as you want for your agent. We started working on that. We called it Lindy on Rails about six months ago, and we started putting it into the hands of users over the last, I would say, two months or so, and I think things really started going pretty well at that point. The agent is way more reliable, way easier to set up, and we're already seeing a ton of new use cases pop up.Swyx [00:03:00]: Yeah, just a quick follow-up on that. You launched the first Lindy in November last year, and you were already talking about having a DSL, right? I remember having this discussion with you, and you were like, it's just much more reliable. Is this still the DSL under the hood? Is this a UI-level change, or is it a bigger rewrite?Flo [00:03:17]: No, it is a much bigger rewrite. I'll give you a concrete example. Suppose you want to have an agent that observes your Zendesk tickets, and it's like, hey, every time you receive a Zendesk ticket, I want you to check my knowledge base, so it's like a RAG module and whatnot, and then answer the ticket. The way it used to work with Lindy before was, you would type the prompt asking it to do that. You check my knowledge base, and so on and so forth. The problem with doing that is that it can always go wrong. You're praying the LLM gods that they will actually invoke your knowledge base, but I don't want to ask it. I want it to always, 100% of the time, consult the knowledge base after it receives a Zendesk ticket. And so with Lindy, you can actually have the trigger, which is Zendesk ticket received, have the knowledge base consult, which is always there, and then have the agent. So you can really set up your agent any way you want like that.Swyx [00:04:05]: This is something I think about for AI engineering as well, which is the big labs want you to hand over everything in the prompts, and only code of English, and then the smaller brains, the GPU pours, always want to write more code to make things more deterministic and reliable and controllable. One way I put it is put Shoggoth in a box and make it a very small, the minimal viable box. Everything else should be traditional, if this, then that software.Flo [00:04:29]: I love that characterization, put the Shoggoth in the box. Yeah, we talk about using as much AI as necessary and as little as possible.Alessio [00:04:37]: And what was the choosing between kind of like this drag and drop, low code, whatever, super code-driven, maybe like the Lang chains, auto-GPT of the world, and maybe the flip side of it, which you don't really do, it's like just text to agent, it's like build the workflow for me. Like what have you learned actually putting this in front of users and figuring out how much do they actually want to add it versus like how much, you know, kind of like Ruby on Rails instead of Lindy on Rails, it's kind of like, you know, defaults over configuration.Flo [00:05:06]: I actually used to dislike when people said, oh, text is not a great interface. I was like, ah, this is such a mid-take, I think text is awesome. And I've actually come around, I actually sort of agree now that text is really not great. I think for people like you and me, because we sort of have a mental model, okay, when I type a prompt into this text box, this is what it's going to do, it's going to map it to this kind of data structure under the hood and so forth. I guess it's a little bit blackmailing towards humans. You jump on these calls with humans and you're like, here's a text box, this is going to set up an agent for you, do it. And then they type words like, I want you to help me put order in my inbox. Oh, actually, this is a good one. This is actually a good one. What's a bad one? I would say 60 or 70% of the prompts that people type don't mean anything. Me as a human, as AGI, I don't understand what they mean. I don't know what they mean. It is actually, I think whenever you can have a GUI, it is better than to have just a pure text interface.Alessio [00:05:58]: And then how do you decide how much to expose? So even with the tools, you have Slack, you have Google Calendar, you have Gmail. Should people by default just turn over access to everything and then you help them figure out what to use? I think that's the question. When I tried to set up Slack, it was like, hey, give me access to all channels and everything, which for the average person probably makes sense because you don't want to re-prompt them every time you add new channels. But at the same time, for maybe the more sophisticated enterprise use cases, people are like, hey, I want to really limit what you have access to. How do you kind of thread that balance?Flo [00:06:35]: The general philosophy is we ask for the least amount of permissions needed at any given moment. I don't think Slack, I could be mistaken, but I don't think Slack lets you request permissions for just one channel. But for example, for Google, obviously there are hundreds of scopes that you could require for Google. There's a lot of scopes. And sometimes it's actually painful to set up your Lindy because you're going to have to ask Google and add scopes five or six times. We've had sessions like this. But that's what we do because, for example, the Lindy email drafter, she's going to ask you for your authorization once for, I need to be able to read your email so I can draft a reply, and then another time for I need to be able to write a draft for them. We just try to do it very incrementally like that.Alessio [00:07:15]: Do you think OAuth is just overall going to change? I think maybe before it was like, hey, we need to set up OAuth that humans only want to kind of do once. So we try to jam-pack things all at once versus what if you could on-demand get different permissions every time from different parts? Do you ever think about designing things knowing that maybe AI will use it instead of humans will use it? Yeah, for sure.Flo [00:07:37]: One pattern we've started to see is people provisioning accounts for their AI agents. And so, in particular, Google Workspace accounts. So, for example, Lindy can be used as a scheduling assistant. So you can just CC her to your emails when you're trying to find time with someone. And just like a human assistant, she's going to go back and forth and offer other abilities and so forth. Very often, people don't want the other party to know that it's an AI. So it's actually funny. They introduce delays. They ask the agent to wait before replying, so it's not too obvious that it's an AI. And they provision an account on Google Suite, which costs them like $10 a month or something like that. So we're seeing that pattern more and more. I think that does the job for now. I'm not optimistic on us actually patching OAuth. Because I agree with you, ultimately, we would want to patch OAuth because the new account thing is kind of a clutch. It's really a hack. You would want to patch OAuth to have more granular access control and really be able to put your sugar in the box. I'm not optimistic on us doing that before AGI, I think. That's a very close timeline.Swyx [00:08:36]: I'm mindful of talking about a thing without showing it. And we already have the setup to show it. Why don't we jump into a screen share? For listeners, you can jump on the YouTube and like and subscribe. But also, let's have a look at how you show off Lindy. Yeah, absolutely.Flo [00:08:51]: I'll give an example of a very simple Lindy and then I'll graduate to a much more complicated one. A super simple Lindy that I have is, I unfortunately bought some investment properties in the south of France. It was a really, really bad idea. And I put them on a Holydew, which is like the French Airbnb, if you will. And so I received these emails from time to time telling me like, oh, hey, you made 200 bucks. Someone booked your place. When I receive these emails, I want to log this reservation in a spreadsheet. Doing this without an AI agent or without AI in general is a pain in the butt because you must write an HTML parser for this email. And so it's just hard. You may not be able to do it and it's going to break the moment the email changes. By contrast, the way it works with Lindy, it's really simple. It's two steps. It's like, okay, I receive an email. If it is a reservation confirmation, I have this filter here. Then I append a row to this spreadsheet. And so this is where you can see the AI part where the way this action is configured here, you see these purple fields on the right. Each of these fields is a prompt. And so I can say, okay, you extract from the email the day the reservation begins on. You extract the amount of the reservation. You extract the number of travelers of the reservation. And now you can see when I look at the task history of this Lindy, it's really simple. It's like, okay, you do this and boom, appending this row to this spreadsheet. And this is the information extracted. So effectively, this node here, this append row node is a mini agent. It can see everything that just happened. It has context over the task and it's appending the row. And then it's going to send a reply to the thread. That's a very simple example of an agent.Swyx [00:10:34]: A quick follow-up question on this one while we're still on this page. Is that one call? Is that a structured output call? Yeah. Okay, nice. Yeah.Flo [00:10:41]: And you can see here for every node, you can configure which model you want to power the node. Here I use cloud. For this, I use GPT-4 Turbo. Much more complex example, my meeting recorder. It looks very complex because I've added to it over time, but at a high level, it's really simple. It's like when a meeting begins, you record the meeting. And after the meeting, you send me a summary and you send me coaching notes. So I receive, like my Lindy is constantly coaching me. And so you can see here in the prompt of the coaching notes, I've told it, hey, you know, was I unnecessarily confrontational at any point? I'm French, so I have to watch out for that. Or not confrontational enough. Should I have double-clicked on any issue, right? So I can really give it exactly the kind of coaching that I'm expecting. And then the interesting thing here is, like, you can see the agent here, after it sent me these coaching notes, moves on. And it does a bunch of other stuff. So it goes on Slack. It disseminates the notes on Slack. It does a bunch of other stuff. But it's actually able to backtrack and resume the automation at the coaching notes email if I responded to that email. So I'll give a super concrete example. This is an actual coaching feedback that I received from Lindy. She was like, hey, this was a sales call I had with a customer. And she was like, I found your explanation of Lindy too technical. And I was able to follow up and just ask a follow-up question in the thread here. And I was like, why did you find too technical about my explanation? And Lindy restored the context. And so she basically picked up the automation back up here in the tree. And she has all of the context of everything that happened, including the meeting in which I was. So she was like, oh, you used the words deterministic and context window and agent state. And that concept exists at every level for every channel and every action that Lindy takes. So another example here is, I mentioned she also disseminates the notes on Slack. So this was a meeting where I was not, right? So this was a teammate. He's an indie meeting recorder, posts the meeting notes in this customer discovery channel on Slack. So you can see, okay, this is the onboarding call we had. This was the use case. Look at the questions. How do I make Lindy slower? How do I add delays to make Lindy slower? And I was able, in the Slack thread, to ask follow-up questions like, oh, what did we answer to these questions? And it's really handy because I know I can have this sort of interactive Q&A with these meetings. It means that very often now, I don't go to meetings anymore. I just send my Lindy. And instead of going to like a 60-minute meeting, I have like a five-minute chat with my Lindy afterwards. And she just replied. She was like, well, this is what we replied to this customer. And I can just be like, okay, good job, Jack. Like, no notes about your answers. So that's the kind of use cases people have with Lindy. It's a lot of like, there's a lot of sales automations, customer support automations, and a lot of this, which is basically personal assistance automations, like meeting scheduling and so forth.Alessio [00:13:21]: Yeah, and I think the question that people might have is memory. So as you get coaching, how does it track whether or not you're improving? You know, if these are like mistakes you made in the past, like, how do you think about that?Flo [00:13:31]: Yeah, we have a memory module. So I'll show you my meeting scheduler, Lindy, which has a lot of memories because by now I've used her for so long. And so every time I talk to her, she saves a memory. If I tell her, you screwed up, please don't do this. So you can see here, oh, it's got a double memory here. This is the meeting link I have, or this is the address of the office. If I tell someone to meet me at home, this is the address of my place. This is the code. I guess we'll have to edit that out. This is not the code of my place. No dogs. Yeah, so Lindy can just manage her own memory and decide when she's remembering things between executions. Okay.Swyx [00:14:11]: I mean, I'm just going to take the opportunity to ask you, since you are the creator of this thing, how come there's so few memories, right? Like, if you've been using this for two years, there should be thousands of thousands of things. That is a good question.Flo [00:14:22]: Agents still get confused if they have too many memories, to my point earlier about that. So I just am out of a call with a member of the Lama team at Meta, and we were chatting about Lindy, and we were going into the system prompt that we sent to Lindy, and all of that stuff. And he was amazed, and he was like, it's a miracle that it's working, guys. He was like, this kind of system prompt, this does not exist, either pre-training or post-training. These models were never trained to do this kind of stuff. It's a miracle that they can be agents at all. And so what I do, I actually prune the memories. You know, it's actually something I've gotten into the habit of doing from back when we had GPT 3.5, being Lindy agents. I suspect it's probably not as necessary in the Cloud 3.5 Sunette days, but I prune the memories. Yeah, okay.Swyx [00:15:05]: The reason is because I have another assistant that also is recording and trying to come up with facts about me. It comes up with a lot of trivial, useless facts that I... So I spend most of my time pruning. Actually, it's not super useful. I'd much rather have high-quality facts that it accepts. Or maybe I was even thinking, were you ever tempted to add a wake word to only memorize this when I say memorize this? And otherwise, don't even bother.Flo [00:15:30]: I have a Lindy that does this. So this is my inbox processor, Lindy. It's kind of beefy because there's a lot of different emails. But somewhere in here,Swyx [00:15:38]: there is a rule where I'm like,Flo [00:15:39]: aha, I can email my inbox processor, Lindy. It's really handy. So she has her own email address. And so when I process my email inbox, I sometimes forward an email to her. And it's a newsletter, or it's like a cold outreach from a recruiter that I don't care about, or anything like that. And I can give her a rule. And I can be like, hey, this email I want you to archive, moving forward. Or I want you to alert me on Slack when I have this kind of email. It's really important. And so you can see here, the prompt is, if I give you a rule about a kind of email, like archive emails from X, save it as a new memory. And I give it to the memory saving skill. And yeah.Swyx [00:16:13]: One thing that just occurred to me, so I'm a big fan of virtual mailboxes. I recommend that everybody have a virtual mailbox. You could set up a physical mail receive thing for Lindy. And so then Lindy can process your physical mail.Flo [00:16:26]: That's actually a good idea. I actually already have something like that. I use like health class mail. Yeah. So yeah, most likely, I can process my physical mail. Yeah.Swyx [00:16:35]: And then the other product's idea I have, looking at this thing, is people want to brag about the complexity of their Lindys. So this would be like a 65 point Lindy, right?Flo [00:16:43]: What's a 65 point?Swyx [00:16:44]: Complexity counting. Like how many nodes, how many things, how many conditions, right? Yeah.Flo [00:16:49]: This is not the most complex one. I have another one. This designer recruiter here is kind of beefy as well. Right, right, right. So I'm just saying,Swyx [00:16:56]: let people brag. Let people be super users. Oh, right.Flo [00:16:59]: Give them a score. Give them a score.Swyx [00:17:01]: Then they'll just be like, okay, how high can you make this score?Flo [00:17:04]: Yeah, that's a good point. And I think that's, again, the beauty of this on-rails phenomenon. It's like, think of the equivalent, the prompt equivalent of this Lindy here, for example, that we're looking at. It'd be monstrous. And the odds that it gets it right are so low. But here, because we're really holding the agent's hand step by step by step, it's actually super reliable. Yeah.Swyx [00:17:22]: And is it all structured output-based? Yeah. As far as possible? Basically. Like, there's no non-structured output?Flo [00:17:27]: There is. So, for example, here, this AI agent step, right, or this send message step, sometimes it gets to... That's just plain text.Swyx [00:17:35]: That's right.Flo [00:17:36]: Yeah. So I'll give you an example. Maybe it's TMI. I'm having blood pressure issues these days. And so this Lindy here, I give it my blood pressure readings, and it updates a log that I have of my blood pressure that it sends to my doctor.Swyx [00:17:49]: Oh, so every Lindy comes with a to-do list?Flo [00:17:52]: Yeah. Every Lindy has its own task history. Huh. Yeah. And so you can see here, this is my main Lindy, my personal assistant, and I've told it, where is this? There is a point where I'm like, if I am giving you a health-related fact, right here, I'm giving you health information, so then you update this log that I have in this Google Doc, and then you send me a message. And you can see, I've actually not configured this send message node. I haven't told it what to send me a message for. Right? And you can see, it's actually lecturing me. It's like, I'm giving it my blood pressure ratings. It's like, hey, it's a bit high. Here are some lifestyle changes you may want to consider.Alessio [00:18:27]: I think maybe this is the most confusing or new thing for people. So even I use Lindy and I didn't even know you could have multiple workflows in one Lindy. I think the mental model is kind of like the Zapier workflows. It starts and it ends. It doesn't choose between. How do you think about what's a Lindy versus what's a sub-function of a Lindy? Like, what's the hierarchy?Flo [00:18:48]: Yeah. Frankly, I think the line is a little arbitrary. It's kind of like when you code, like when do you start to create a new class versus when do you overload your current class. I think of it in terms of like jobs to be done and I think of it in terms of who is the Lindy serving. This Lindy is serving me personally. It's really my day-to-day Lindy. I give it a bunch of stuff, like very easy tasks. And so this is just the Lindy I go to. Sometimes when a task is really more specialized, so for example, I have this like summarizer Lindy or this designer recruiter Lindy. These tasks are really beefy. I wouldn't want to add this to my main Lindy, so I just created a separate Lindy for it. Or when it's a Lindy that serves another constituency, like our customer support Lindy, I don't want to add that to my personal assistant Lindy. These are two very different Lindys.Alessio [00:19:31]: And you can call a Lindy from within another Lindy. That's right. You can kind of chain them together.Flo [00:19:36]: Lindys can work together, absolutely.Swyx [00:19:38]: A couple more things for the video portion. I noticed you have a podcast follower. We have to ask about that. What is that?Flo [00:19:46]: So this one wakes me up every... So wakes herself up every week. And she sends me... So she woke up yesterday, actually. And she searches for Lenny's podcast. And she looks for like the latest episode on YouTube. And once she finds it, she transcribes the video and then she sends me the summary by email. I don't listen to podcasts as much anymore. I just like read these summaries. Yeah.Alessio [00:20:09]: We should make a latent space Lindy. Marketplace.Swyx [00:20:12]: Yeah. And then you have a whole bunch of connectors. I saw the list briefly. Any interesting one? Complicated one that you're proud of? Anything that you want to just share? Connector stories.Flo [00:20:23]: So many of our workflows are about meeting scheduling. So we had to build some very open unity tools around meeting scheduling. So for example, one that is surprisingly hard is this find available times action. You would not believe... This is like a thousand lines of code or something. It's just a very beefy action. And you can pass it a bunch of parameters about how long is the meeting? When does it start? When does it end? What are the meetings? The weekdays in which I meet? How many time slots do you return? What's the buffer between my meetings? It's just a very, very, very complex action. I really like our GitHub action. So we have a Lindy PR reviewer. And it's really handy because anytime any bug happens... So the Lindy reads our guidelines on Google Docs. By now, the guidelines are like 40 pages long or something. And so every time any new kind of bug happens, we just go to the guideline and we add the lines. Like, hey, this has happened before. Please watch out for this category of bugs. And it's saving us so much time every day.Alessio [00:21:19]: There's companies doing PR reviews. Where does a Lindy start? When does a company start? Or maybe how do you think about the complexity of these tasks when it's going to be worth having kind of like a vertical standalone company versus just like, hey, a Lindy is going to do a good job 99% of the time?Flo [00:21:34]: That's a good question. We think about this one all the time. I can't say that we've really come up with a very crisp articulation of when do you want to use a vertical tool versus when do you want to use a horizontal tool. I think of it as very similar to the internet. I find it surprising the extent to which a horizontal search engine has won. But I think that Google, right? But I think the even more surprising fact is that the horizontal search engine has won in almost every vertical, right? You go through Google to search Reddit. You go through Google to search Wikipedia. I think maybe the biggest exception is e-commerce. Like you go to Amazon to search e-commerce, but otherwise you go through Google. And I think that the reason for that is because search in each vertical has more in common with search than it does with each vertical. And search is so expensive to get right. Like Google is a big company that it makes a lot of sense to aggregate all of these different use cases and to spread your R&D budget across all of these different use cases. I have a thesis, which is, it's a really cool thesis for Lindy, is that the same thing is true for agents. I think that by and large, in a lot of verticals, agents in each vertical have more in common with agents than they do with each vertical. I also think there are benefits in having a single agent platform because that way your agents can work together. They're all like under one roof. That way you only learn one platform and so you can create agents for everything that you want. And you don't have to like pay for like a bunch of different platforms and so forth. So I think ultimately, it is actually going to shake out in a way that is similar to search in that search is everywhere on the internet. Every website has a search box, right? So there's going to be a lot of vertical agents for everything. I think AI is going to completely penetrate every category of software. But then I also think there are going to be a few very, very, very big horizontal agents that serve a lot of functions for people.Swyx [00:23:14]: That is actually one of the questions that we had about the agent stuff. So I guess we can transition away from the screen and I'll just ask the follow-up, which is, that is a hot topic. You're basically saying that the current VC obsession of the day, which is vertical AI enabled SaaS, is mostly not going to work out. And then there are going to be some super giant horizontal SaaS.Flo [00:23:34]: Oh, no, I'm not saying it's either or. Like SaaS today, vertical SaaS is huge and there's also a lot of horizontal platforms. If you look at like Airtable or Notion, basically the entire no-code space is very horizontal. I mean, Loom and Zoom and Slack, there's a lot of very horizontal tools out there. Okay.Swyx [00:23:49]: I was just trying to get a reaction out of you for hot takes. Trying to get a hot take.Flo [00:23:54]: No, I also think it is natural for the vertical solutions to emerge first because it's just easier to build. It's just much, much, much harder to build something horizontal. Cool.Swyx [00:24:03]: Some more Lindy-specific questions. So we covered most of the top use cases and you have an academy. That was nice to see. I also see some other people doing it for you for free. So like Ben Spites is doing it and then there's some other guy who's also doing like lessons. Yeah. Which is kind of nice, right? Yeah, absolutely. You don't have to do any of that.Flo [00:24:20]: Oh, we've been seeing it more and more on like LinkedIn and Twitter, like people posting their Lindys and so forth.Swyx [00:24:24]: I think that's the flywheel that you built the platform where creators see value in allying themselves to you. And so then, you know, your incentive is to make them successful so that they can make other people successful and then it just drives more and more engagement. Like it's earned media. Like you don't have to do anything.Flo [00:24:39]: Yeah, yeah. I mean, community is everything.Swyx [00:24:41]: Are you doing anything special there? Any big wins?Flo [00:24:44]: We have a Slack community that's pretty active. I can't say we've invested much more than that so far.Swyx [00:24:49]: I would say from having, so I have some involvement in the no-code community. I would say that Webflow going very hard after no-code as a category got them a lot more allies than just the people using Webflow. So it helps you to grow the community beyond just Lindy. And I don't know what this is called. Maybe it's just no-code again. Maybe you want to call it something different. But there's definitely an appetite for this and you are one of a broad category, right? Like just before you, we had Dust and, you know, they're also kind of going after a similar market. Zapier obviously is not going to try to also compete with you. Yeah. There's no question there. It's just like a reaction about community. Like I think a lot about community. Lanespace is growing the community of AI engineers. And I think you have a slightly different audience of, I don't know what.Flo [00:25:33]: Yeah. I think the no-code tinkerers is the community. Yeah. It is going to be the same sort of community as what Webflow, Zapier, Airtable, Notion to some extent.Swyx [00:25:43]: Yeah. The framing can be different if you were, so I think tinkerers has this connotation of not serious or like small. And if you framed it to like no-code EA, we're exclusively only for CEOs with a certain budget, then you just have, you tap into a different budget.Flo [00:25:58]: That's true. The problem with EA is like, the CEO has no willingness to actually tinker and play with the platform.Swyx [00:26:05]: Maybe Andrew's doing that. Like a lot of your biggest advocates are CEOs, right?Flo [00:26:09]: A solopreneur, you know, small business owners, I think Andrew is an exception. Yeah. Yeah, yeah, he is.Swyx [00:26:14]: He's an exception in many ways. Yep.Alessio [00:26:16]: Just before we wrap on the use cases, is Rick rolling your customers? Like a officially supported use case or maybe tell that story?Flo [00:26:24]: It's one of the main jobs to be done, really. Yeah, we woke up recently, so we have a Lindy obviously doing our customer support and we do check after the Lindy. And so we caught this email exchange where someone was asking Lindy for video tutorials. And at the time, actually, we did not have video tutorials. We do now on the Lindy Academy. And Lindy responded to the email. It's like, oh, absolutely, here's a link. And we were like, what? Like, what kind of link did you send? And so we clicked on the link and it was a recall. We actually reacted fast enough that the customer had not yet opened the email. And so we reacted immediately. Like, oh, hey, actually, sorry, this is the right link. And so the customer never reacted to the first link. And so, yeah, I tweeted about that. It went surprisingly viral. And I checked afterwards in the logs. We did like a database query and we found, I think, like three or four other instances of it having happened before.Swyx [00:27:12]: That's surprisingly low.Flo [00:27:13]: It is low. And we fixed it across the board by just adding a line to the system prompt that's like, hey, don't recall people, please don't recall.Swyx [00:27:21]: Yeah, yeah, yeah. I mean, so, you know, you can explain it retroactively, right? Like, that YouTube slug has been pasted in so many different corpuses that obviously it learned to hallucinate that.Alessio [00:27:31]: And it pretended to be so many things. That's the thing.Swyx [00:27:34]: I wouldn't be surprised if that takes one token. Like, there's this one slug in the tokenizer and it's just one token.Flo [00:27:41]: That's the idea of a YouTube video.Swyx [00:27:43]: Because it's used so much, right? And you have to basically get it exactly correct. It's probably not. That's a long speech.Flo [00:27:52]: It would have been so good.Alessio [00:27:55]: So this is just a jump maybe into evals from here. How could you possibly come up for an eval that says, make sure my AI does not recall my customer? I feel like when people are writing evals, that's not something that they come up with. So how do you think about evals when it's such like an open-ended problem space?Flo [00:28:12]: Yeah, it is tough. We built quite a bit of infrastructure for us to create evals in one click from any conversation history. So we can point to a conversation and we can be like, in one click we can turn it into effectively a unit test. It's like, this is a good conversation. This is how you're supposed to handle things like this. Or if it's a negative example, then we modify a little bit the conversation after generating the eval. So it's very easy for us to spin up this kind of eval.Alessio [00:28:36]: Do you use an off-the-shelf tool which is like Brain Trust on the podcast? Or did you just build your own?Flo [00:28:41]: We unfortunately built our own. We're most likely going to switch to Brain Trust. Well, when we built it, there was nothing. Like there was no eval tool, frankly. I mean, we started this project at the end of 2022. It was like, it was very, very, very early. I wouldn't recommend it to build your own eval tool. There's better solutions out there and our eval tool breaks all the time and it's a nightmare to maintain. And that's not something we want to be spending our time on.Swyx [00:29:04]: I was going to ask that basically because I think my first conversations with you about Lindy was that you had a strong opinion that everyone should build their own tools. And you were very proud of your evals. You're kind of showing off to me like how many evals you were running, right?Flo [00:29:16]: Yeah, I think that was before all of these tools came around. I think the ecosystem has matured a fair bit.Swyx [00:29:21]: What is one thing that Brain Trust has nailed that you always struggled to do?Flo [00:29:25]: We're not using them yet, so I couldn't tell. But from what I've gathered from the conversations I've had, like they're doing what we do with our eval tool, but better.Swyx [00:29:33]: And like they do it, but also like 60 other companies do it, right? So I don't know how to shop apart from brand. Word of mouth.Flo [00:29:41]: Same here.Swyx [00:29:42]: Yeah, like evals or Lindys, there's two kinds of evals, right? Like in some way, you don't have to eval your system as much because you've constrained the language model so much. And you can rely on open AI to guarantee that the structured outputs are going to be good, right? We had Michelle sit where you sit and she explained exactly how they do constraint grammar sampling and all that good stuff. So actually, I think it's more important for your customers to eval their Lindys than you evaling your Lindy platform because you just built the platform. You don't actually need to eval that much.Flo [00:30:14]: Yeah. In an ideal world, our customers don't need to care about this. And I think the bar is not like, look, it needs to be at 100%. I think the bar is it needs to be better than a human. And for most use cases we serve today, it is better than a human, especially if you put it on Rails.Swyx [00:30:30]: Is there a limiting factor of Lindy at the business? Like, is it adding new connectors? Is it adding new node types? Like how do you prioritize what is the most impactful to your company?Flo [00:30:41]: Yeah. The raw capabilities for sure are a big limit. It is actually shocking the extent to which the model is no longer the limit. It was the limit a year ago. It was too expensive. The context window was too small. It's kind of insane that we started building this when the context windows were like 4,000 tokens. Like today, our system prompt is more than 4,000 tokens. So yeah, the model is actually very much not a limit anymore. It almost gives me pause because I'm like, I want the model to be a limit. And so no, the integrations are ones, the core capabilities are ones. So for example, we are investing in a system that's basically, I call it like the, it's a J hack. Give me these names, like the poor man's RLHF. So you can turn on a toggle on any step of your Lindy workflow to be like, ask me for confirmation before you actually execute this step. So it's like, hey, I receive an email, you send a reply, ask me for confirmation before actually sending it. And so today you see the email that's about to get sent and you can either approve, deny, or change it and then approve. And we are making it so that when you make a change, we are then saving this change that you're making or embedding it in the vector database. And then we are retrieving these examples for future tasks and injecting them into the context window. So that's the kind of capability that makes a huge difference for users. That's the bottleneck today. It's really like good old engineering and product work.Swyx [00:31:52]: I assume you're hiring. We'll do a call for hiring at the end.Alessio [00:31:54]: Any other comments on the model side? When did you start feeling like the model was not a bottleneck anymore? Was it 4.0? Was it 3.5? 3.5.Flo [00:32:04]: 3.5 Sonnet, definitely. I think 4.0 is overhyped, frankly. We don't use 4.0. I don't think it's good for agentic behavior. Yeah, 3.5 Sonnet is when I started feeling that. And then with prompt caching with 3.5 Sonnet, like that fills the cost, cut the cost again. Just cut it in half. Yeah.Swyx [00:32:21]: Your prompts are... Some of the problems with agentic uses is that your prompts are kind of dynamic, right? Like from caching to work, you need the front prefix portion to be stable.Flo [00:32:32]: Yes, but we have this append-only ledger paradigm. So every node keeps appending to that ledger and every filled node inherits all the context built up by all the previous nodes. And so we can just decide, like, hey, every X thousand nodes, we trigger prompt caching again.Swyx [00:32:47]: Oh, so you do it like programmatically, not all the time.Flo [00:32:50]: No, sorry. Anthropic manages that for us. But basically, it's like, because we keep appending to the prompt, the prompt caching works pretty well.Alessio [00:32:57]: We have this small podcaster tool that I built for the podcast and I rewrote all of our prompts because I noticed, you know, I was inputting stuff early on. I wonder how much more money OpenAN and Anthropic are making just because people don't rewrite their prompts to be like static at the top and like dynamic at the bottom.Flo [00:33:13]: I think that's the remarkable thing about what we're having right now. It's insane that these companies are routinely cutting their costs by two, four, five. Like, they basically just apply constraints. They want people to take advantage of these innovations. Very good.Swyx [00:33:25]: Do you have any other competitive commentary? Commentary? Dust, WordWare, Gumloop, Zapier? If not, we can move on.Flo [00:33:31]: No comment.Alessio [00:33:32]: I think the market is,Flo [00:33:33]: look, I mean, AGI is coming. All right, that's what I'm talking about.Swyx [00:33:38]: I think you're helping. Like, you're paving the road to AGI.Flo [00:33:41]: I'm playing my small role. I'm adding my small brick to this giant, giant, giant castle. Yeah, look, when it's here, we are going to, this entire category of software is going to create, it's going to sound like an exaggeration, but it is a fact it is going to create trillions of dollars of value in a few years, right? It's going to, for the first time, we're actually having software directly replace human labor. I see it every day in sales calls. It's like, Lindy is today replacing, like, we talk to even small teams. It's like, oh, like, stop, this is a 12-people team here. I guess we'll set up this Lindy for one or two days, and then we'll have to decide what to do with this 12-people team. And so, yeah. To me, there's this immense uncapped market opportunity. It's just such a huge ocean, and there's like three sharks in the ocean. I'm focused on the ocean more than on the sharks.Swyx [00:34:25]: So we're moving on to hot topics, like, kind of broadening out from Lindy, but obviously informed by Lindy. What are the high-order bits of good agent design?Flo [00:34:31]: The model, the model, the model, the model. I think people fail to truly, and me included, they fail to truly internalize the bitter lesson. So for the listeners out there who don't know about it, it's basically like, you just scale the model. Like, GPUs go brr, it's all that matters. I think it also holds for the cognitive architecture. I used to be very cognitive architecture-filled, and I was like, ah, and I was like a critic, and I was like a generator, and all this, and then it's just like, GPUs go brr, like, just like let the model do its job. I think we're seeing it a little bit right now with O1. I'm seeing some tweets that say that the new 3.5 SONNET is as good as O1, but with none of all the crazy...Swyx [00:35:09]: It beats O1 on some measures. On some reasoning tasks. On AIME, it's still a lot lower. Like, it's like 14 on AIME versus O1, it's like 83.Flo [00:35:17]: Got it. Right. But even O1 is still the model. Yeah.Swyx [00:35:22]: Like, there's no cognitive architecture on top of it.Flo [00:35:23]: You can just wait for O1 to get better.Alessio [00:35:25]: And so, as a founder, how do you think about that, right? Because now, knowing this, wouldn't you just wait to start Lindy? You know, you start Lindy, it's like 4K context, the models are not that good. It's like, but you're still kind of like going along and building and just like waiting for the models to get better. How do you today decide, again, what to build next, knowing that, hey, the models are going to get better, so maybe we just shouldn't focus on improving our prompt design and all that stuff and just build the connectors instead or whatever? Yeah.Flo [00:35:51]: I mean, that's exactly what we do. Like, all day, we always ask ourselves, oh, when we have a feature idea or a feature request, we ask ourselves, like, is this the kind of thing that just gets better while we sleep because models get better? I'm reminded, again, when we started this in 2022, we spent a lot of time because we had to around context pruning because 4,000 tokens is really nothing. You really can't do anything with 4,000 tokens. All that work was throwaway work. Like, now it's like it was for nothing, right? Now we just assume that infinite context windows are going to be here in a year or something, a year and a half, and infinitely cheap as well, and dynamic compute is going to be here. Like, we just assume all of these things are going to happen, and so we really focus, our job to be done in the industry is to provide the input and output to the model. I really compare it all the time to the PC and the CPU, right? Apple is busy all day. They're not like a CPU wrapper. They have a lot to build, but they don't, well, now actually they do build the CPU as well, but leaving that aside, they're busy building a laptop. It's just a lot of work to build these things. It's interesting because, like,Swyx [00:36:45]: for example, another person that we're close to, Mihaly from Repl.it, he often says that the biggest jump for him was having a multi-agent approach, like the critique thing that you just said that you don't need, and I wonder when, in what situations you do need that and what situations you don't. Obviously, the simple answer is for coding, it helps, and you're not coding, except for, are you still generating code? In Indy? Yeah.Flo [00:37:09]: No, we do. Oh, right. No, no, no, the cognitive architecture changed. We don't, yeah.Swyx [00:37:13]: Yeah, okay. For you, you're one shot, and you chain tools together, and that's it. And if the user really wantsFlo [00:37:18]: to have this kind of critique thing, you can also edit the prompt, you're welcome to. I have some of my Lindys, I've told them, like, hey, be careful, think step by step about what you're about to do, but that gives you a little bump for some use cases, but, yeah.Alessio [00:37:30]: What about unexpected model releases? So, Anthropic released computer use today. Yeah. I don't know if many people were expecting computer use to come out today. Do these things make you rethink how to design, like, your roadmap and things like that, or are you just like, hey, look, whatever, that's just, like, a small thing in their, like, AGI pursuit, that, like, maybe they're not even going to support, and, like, it's still better for us to build our own integrations into systems and things like that. Because maybe people will say, hey, look, why am I building all these API integrationsFlo [00:38:02]: when I can just do computer use and never go to the product? Yeah. No, I mean, we did take into account computer use. We were talking about this a year ago or something, like, we've been talking about it as part of our roadmap. It's been clear to us that it was coming, My philosophy about it is anything that can be done with an API must be done by an API or should be done by an API for a very long time. I think it is dangerous to be overly cavalier about improvements of model capabilities. I'm reminded of iOS versus Android. Android was built on the JVM. There was a garbage collector, and I can only assume that the conversation that went down in the engineering meeting room was, oh, who cares about the garbage collector? Anyway, Moore's law is here, and so that's all going to go to zero eventually. Sure, but in the meantime, you are operating on a 400 MHz CPU. It was like the first CPU on the iPhone 1, and it's really slow, and the garbage collector is introducing a tremendous overhead on top of that, especially a memory overhead. For the longest time, and it's really only been recently that Android caught up to iOS in terms of how smooth the interactions were, but for the longest time, Android phones were significantly slowerSwyx [00:39:07]: and laggierFlo [00:39:08]: and just not feeling as good as iOS devices. Look, when you're talking about modules and magnitude of differences in terms of performance and reliability, which is what we are talking about when we're talking about API use versus computer use, then you can't ignore that, right? And so I think we're going to be in an API use world for a while.Swyx [00:39:27]: O1 doesn't have API use today. It will have it at some point, and it's on the roadmap. There is a future in which OpenAI goes much harder after your business, your market, than it is today. Like, ChatGPT, it's its own business. All they need to do is add tools to the ChatGPT, and now they're suddenly competing with you. And by the way, they have a GPT store where a bunch of people have already configured their tools to fit with them. Is that a concern?Flo [00:39:56]: I think even the GPT store, in a way, like the way they architect it, for example, their plug-in systems are actually grateful because we can also use the plug-ins. It's very open. Now, again, I think it's going to be such a huge market. I think there's going to be a lot of different jobs to be done. I know they have a huge enterprise offering and stuff, but today, ChatGPT is a consumer app. And so, the sort of flow detail I showed you, this sort of workflow, this sort of use cases that we're going after, which is like, we're doing a lot of lead generation and lead outreach and all of that stuff. That's not something like meeting recording, like Lindy Today right now joins your Zoom meetings and takes notes, all of that stuff.Swyx [00:40:34]: I don't see that so farFlo [00:40:35]: on the OpenAI roadmap.Swyx [00:40:36]: Yeah, but they do have an enterprise team that we talk to You're hiring GMs?Flo [00:40:42]: We did.Swyx [00:40:43]: It's a fascinating way to build a business, right? Like, what should you, as CEO, be in charge of? And what should you basically hireFlo [00:40:52]: a mini CEO to do? Yeah, that's a good question. I think that's also something we're figuring out. The GM thing was inspired from my days at Uber, where we hired one GM per city or per major geo area. We had like all GMs, regional GMs and so forth. And yeah, Lindy is so horizontal that we thought it made sense to hire GMs to own each vertical and the go-to market of the vertical and the customization of the Lindy templates for these verticals and so forth. What should I own as a CEO? I mean, the canonical reply here is always going to be, you know, you own the fundraising, you own the culture, you own the... What's the rest of the canonical reply? The culture, the fundraising.Swyx [00:41:29]: I don't know,Flo [00:41:30]: products. Even that, eventually, you do have to hand out. Yes, the vision, the culture, and the foundation. Well, you've done your job as a CEO. In practice, obviously, yeah, I mean, all day, I do a lot of product work still and I want to keep doing product work for as long as possible.Swyx [00:41:48]: Obviously, like you're recording and managing the team. Yeah.Flo [00:41:52]: That one feels like the most automatable part of the job, the recruiting stuff.Swyx [00:41:56]: Well, yeah. You saw myFlo [00:41:59]: design your recruiter here. Relationship between Factorio and building Lindy. We actually very often talk about how the business of the future is like a game of Factorio. Yeah. So, in the instance, it's like Slack and you've got like 5,000 Lindys in the sidebar and your job is to somehow manage your 5,000 Lindys. And it's going to be very similar to company building because you're going to look for like the highest leverage way to understand what's going on in your AI company and understand what levels do you have to make impact in that company. So, I think it's going to be very similar to like a human company except it's going to go infinitely faster. Today, in a human company, you could have a meeting with your team and you're like, oh, I'm going to build a facility and, you know, now it's like, okay,Swyx [00:42:40]: boom, I'm going to spin up 50 designers. Yeah. Like, actually, it's more important that you can clone an existing designer that you know works because the hiring process, you cannot clone someone because every new person you bring in is going to have their own tweaksFlo [00:42:54]: and you don't want that. Yeah.Swyx [00:42:56]: That's true. You want an army of mindless dronesFlo [00:42:59]: that all work the same way.Swyx [00:43:00]: The reason I bring this, bring Factorio up as well is one, Factorio Space just came out. Apparently, a whole bunch of people stopped working. I tried out Factorio. I never really got that much into it. But the other thing was, you had a tweet recently about how the sort of intentional top-down design was not as effective as just build. Yeah. Just ship.Flo [00:43:21]: I think people read a little bit too much into that tweet. It went weirdly viral. I was like, I did not intend it as a giant statement online.Swyx [00:43:28]: I mean, you notice you have a pattern with this, right? Like, you've done this for eight years now.Flo [00:43:33]: You should know. I legit was just hearing an interesting story about the Factorio game I had. And everybody was like, oh my God, so deep. I guess this explains everything about life and companies. There is something to be said, certainly, about focusing on the constraint. And I think it is Patrick Collison who said, people underestimate the extent to which moonshots are just one pragmatic step taken after the other. And I think as long as you have some inductive bias about, like, some loose idea about where you want to go, I think it makes sense to follow a sort of greedy search along that path. I think planning and organizing is important. And having older is important.Swyx [00:44:05]: I'm wrestling with that. There's two ways I encountered it recently. One with Lindy. When I tried out one of your automation templates and one of them was quite big and I just didn't understand it, right? So, like, it was not as useful to me as a small one that I can just plug in and see all of. And then the other one was me using Cursor. I was very excited about O1 and I just up frontFlo [00:44:27]: stuffed everythingSwyx [00:44:28]: I wanted to do into my prompt and expected O1 to do everything. And it got itself into a huge jumbled mess and it was stuck. It was really... There was no amount... I wasted, like, two hours on just, like, trying to get out of that hole. So I threw away the code base, started small, switched to Clouds on it and build up something working and just add it over time and it just worked. And to me, that was the factorial sentiment, right? Maybe I'm one of those fanboys that's just, like, obsessing over the depth of something that you just randomly tweeted out. But I think it's true for company building, for Lindy building, for coding.Flo [00:45:02]: I don't know. I think it's fair and I think, like, you and I talked about there's the Tuft & Metal principle and there's this other... Yes, I love that. There's the... I forgot the name of this other blog post but it's basically about this book Seeing Like a State that talks about the need for legibility and people who optimize the system for its legibility and anytime you make a system... So legible is basically more understandable. Anytime you make a system more understandable from the top down, it performs less well from the bottom up. And it's fine but you should at least make this trade-off with your eyes wide open. You should know, I am sacrificing performance for understandability, for legibility. And in this case, for you, it makes sense. It's like you are actually optimizing for legibility. You do want to understand your code base but in some other cases it may not make sense. Sometimes it's better to leave the system alone and let it be its glorious, chaotic, organic self and just trust that it's going to perform well even though you don't understand it completely.Swyx [00:45:55]: It does remind me of a common managerial issue or dilemma which you experienced in the small scale of Lindy where, you know, do you want to organize your company by functional sections or by products or, you know, whatever the opposite of functional is. And you tried it one way and it was more legible to you as CEO but actually it stopped working at the small level. Yeah.Flo [00:46:17]: I mean, one very small example, again, at a small scale is we used to have everything on Notion. And for me, as founder, it was awesome because everything was there. The roadmap was there. The tasks were there. The postmortems were there. And so, the postmortem was linkedSwyx [00:46:31]: to its task.Flo [00:46:32]: It was optimized for you. Exactly. And so, I had this, like, one pane of glass and everything was on Notion. And then the team, one day,Swyx [00:46:39]: came to me with pitchforksFlo [00:46:40]: and they really wanted to implement Linear. And I had to bite my fist so hard. I was like, fine, do it. Implement Linear. Because I was like, at the end of the day, the team needs to be able to self-organize and pick their own tools.Alessio [00:46:51]: Yeah. But it did make the company slightly less legible for me. Another big change you had was going away from remote work, every other month. The discussion comes up again. What was that discussion like? How did your feelings change? Was there kind of like a threshold of employees and team size where you felt like, okay, maybe that worked. Now it doesn't work anymore. And how are you thinking about the futureFlo [00:47:12]: as you scale the team? Yeah. So, for context, I used to have a business called TeamFlow. The business was about building a virtual office for remote teams. And so, being remote was not merely something we did. It was, I was banging the remote drum super hard and helping companies to go remote. And so, frankly, in a way, it's a bit embarrassing for me to do a 180 like that. But I guess, when the facts changed, I changed my mind. What happened? Well, I think at first, like everyone else, we went remote by necessity. It was like COVID and you've got to go remote. And on paper, the gains of remote are enormous. In particular, from a founder's standpoint, being able to hire from anywhere is huge. Saving on rent is huge. Saving on commute is huge for everyone and so forth. But then, look, we're all here. It's like, it is really making it much harder to work together. And I spent three years of my youth trying to build a solution for this. And my conclusion is, at least we couldn't figure it out and no one else could. Zoom didn't figure it out. We had like a bunch of competitors. Like, Gathertown was one of the bigger ones. We had dozens and dozens of competitors. No one figured it out. I don't know that software can actually solve this problem. The reality of it is, everyone just wants to get off the darn Zoom call. And it's not a good feeling to be in your home office if you're even going to have a home office all day. It's harder to build culture. It's harder to get in sync. I think software is peculiar because it's like an iceberg. It's like the vast majority of it is submerged underwater. And so, the quality of the software that you ship is a function of the alignment of your mental models about what is below that waterline. Can you actually get in sync about what it is exactly fundamentally that we're building? What is the soul of our product? And it is so much harder to get in sync about that when you're remote. And then you waste time in a thousand ways because people are offline and you can't get a hold of them or you can't share your screen. It's just like you feel like you're walking in molasses all day. And eventually, I was like, okay, this is it. We're not going to do this anymore.Swyx [00:49:03]: Yeah. I think that is the current builder San Francisco consensus here. Yeah. But I still have a big... One of my big heroes as a CEO is Sid Subban from GitLab.Flo [00:49:14]: Mm-hmm.Swyx [00:49:15]: Matt MullenwegFlo [00:49:16]: used to be a hero.Swyx [00:49:17]: But these people run thousand-person remote businesses. The main idea is that at some company
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In this week's episode of Tank Talks, host Matt Cohen welcomes Peter Goldie and Deborah Kattler Kupetz the two principals of Category Design Co.Category Design is a powerful business strategy that involves identifying a gap in the market and creating an entirely new category to fill it. Together, they share their journeys, personal experiences, and insights into how category design can transform companies and shape industries.Peter and Deborah talk about how they first met through TED conferences and discovered a shared passion for category design. Peter, with his extensive experience in software and B2B industries, and Deborah, a serial entrepreneur with a background in trends, music, and events, explain how category design can redefine business strategies, create new market opportunities, and help companies achieve dominance in their fields.We also have John Ruffolo from Maverix Private Equity back to discuss the latest news.Deborah Kattler KupetzDeborah Kattler Kupetz is a partner at Category Design Co., where she helps businesses define new market categories and execute strategies to dominate them. She also serves as an advisor at Physio AI, focusing on computational analytics for digital health, and at Aligne Capital Partners, where she works on creating sustainable ecosystems in the food and waste industries. Since 2006, Deborah has led dkkevents, a green event production company that produces eco-conscious experiences, and she continues to produce hybrid and virtual events.She has extensive experience in community-focused ventures, including her roles as Executive Producer of TEDxGreenStreet and Founder of Recenterpiece, a project that repurposes event centerpieces to reduce waste and feed those in need. Earlier in her career, she co-founded several initiatives focused on philanthropy and literacy, including Koreh L.A., Virtual Philanthropy, and the L.A. Literacy Corps.Deborah holds a BA in American Studies from Scripps College and earned both her MSW and MSG from the University of Southern California.Peter GoldiePeter Goldie is a partner at Category Design Co., where he works with companies to define and dominate their business categories. He is also an advisor to Physio AI and Aligne Capital Partners, helping both organizations scale their impact in digital health and sustainability. Prior to these roles, Peter was an advisor at Karerra and Gold Front, assisting startups in scaling and category development.Before focusing on category design, Peter co-founded sewnow! fashion studio and FashionKit, a retail and online business. He also held executive roles at companies like Leanplum, Exploratory Software, and Fluid, where he led product marketing and business strategy efforts. At Macromedia, Peter played a key role in the growth of Flash as the world's most installed software, and he began his career at Procter & Gamble in brand management.Peter holds a Bachelor of Commerce degree in Marketing from Queen's University and completed his high school education at Upper Canada College.In this episode, we discuss:* News Rundown with John Ruffolo:(00:26) – Amazon's Return to Office MandateAmazon CEO Andy Jassy's return-to-office announcement and its implications.(02:00) – Corporate Downsizing Through PolicySpeculation on whether the return-to-office policy is a strategy to reduce headcount without layoffs.(03:00) – Return-to-Office Trends Across IndustriesThe broader trend of companies shifting away from fully remote work.(05:00) – Space & Telecommunications: Elon Musk vs. TelesatDiscussion on Canada's investment in Telesat and the ethics of government handouts.(09:00) – Canadian Government Ventures and InnovationConcerns about government-backed corporations and their ability to foster innovation.(12:00) – Business Development Bank of Canada (BDC) Leadership ChangesLeadership changes at BDC and their impact on Canadian venture capital.(16:00) – Secondary Sales and Continuation Funds in VCHow VC firms are turning to secondary sales and continuation funds in response to a stagnant IPO market.(20:00) – Investor Strategies Amidst a Stagnant IPO MarketThe effects of innovative liquidity strategies on startups remaining private longer.Main Interview with Peter and Deborah:(21:00) – Introduction to Peter and DeborahOverview of Peter and Deborah's backgrounds in category design.(21:35) – Deborah's BackgroundDeborah's entrepreneurial journey from fashion to tech and innovation.(23:00) – Peter's Early CareerPeter's early experiences in consumer goods and his transition into tech.(24:00) – Cultural Influence on DesignHow Peter's travels influenced his perspective on design and marketing.(25:45) – Peter's Early TED InvolvementPeter's role in creating a social network for TED and demonstrating rich internet applications.(28:00) – What is Category Design?Deborah explains the basics of category design and how it redefines markets.(30:00) – Examples of Category KingsDiscussion of category-defining products like the iPhone and iPad.(31:15) – The First Steps in Pursuing Category DesignKey steps companies should take when pursuing category design.(33:00) – Challenges in Defining a CategoryThe challenges startups face in differentiating themselves with category design.(35:00) – Real-World Examples of Category DesignExamples of companies that redefined their categories, and the risks involved.(38:30) – Timing and Consumer Behavior in Category DesignThe importance of timing and understanding consumer behavior.(40:45) – Case Study: Radical ScienceHow Radical Science created the "Proof as a Service" category using consumer participation.(45:00) – Storytelling in Category DesignThe role of storytelling in effectively communicating a category's value.(47:30) – Balancing Current Products with New VisionsHow companies balance existing products with bold new category visions.(50:00) – Role of Investors in Category DesignHow visionary pitches framed around new categories can win over investors.(53:00) – Overcoming Internal Resistance to Category ShiftsHow leadership and sales teams can embrace new category strategies despite initial resistance.(55:00) – Case Study: Airbnb's Category JourneyAirbnb's evolution from offering short-term rentals to defining "community-led hospitality."(57:00) – Using Category Design to Persuade InvestorsHow bold, category-driven strategies can secure investor buy-in.(59:00) – The Future of Category Design and Emerging TrendsHow AI and the Internet of Things (IoT) will shape future category creation.(01:02:00) – Favorite Category KingsPeter and Deborah share their favorite category-defining companies, such as Sonos and Patagonia.Fast Favorites:* Favorite Podcast:* Peter: 99% Invisible – a podcast about design in all its forms.* Deborah: Darknet Diaries – a podcast that explores the dark side of the internet, hacking, and cybercrime.* Favorite Newsletter or Blog:* Peter: Never Enough by Andrew Wilkinson of Tiny Capital.* Deborah: Human Times, focusing on developments in AI, robotics, and human-centered technologies.* Favorite Tech Gadget:* Peter: Beacon 40 – a light designed to ward off dementia and Alzheimer's by syncing gamma waves in the brain.* Deborah: Neuralink (future potential).* Favorite Book:* Peter: Play Bigger – the bible of category design.* Deborah: Outlive by Peter Attia, and the classic Invisible Cities by Italo Calvino.* Favorite Life Lesson:* Peter: "Things just don't go as expected."* Deborah: "You have universal permission – go for it."Follow Matt Cohen and Tank Talks here!Podcast production support provided by Agentbee.ai This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com
In this episode of the Interactive Brokers podcast, Andrew Wilkinson sits down with Chief Strategist Steve Sosnick to analyze the market's reaction to the recent Trump-Harris debate, discuss the implications of the latest economic data on Fed policy, and explore the dynamics of small caps, tech stocks, and financial sectors. Listen in for insights on how these factors are shaping investor sentiment and market trends.
Crop conditions have never been better. But that's not necessarily good news for farmers. Dan Basse, CEO of AgResource, joins IBKR's Andrew Wilkinson to discuss.
Andrew Wilkinson and Jose Torres sit down to talk about last Friday's Jobs report and the painful de-inversion that occurred across the 2- and 10-year Treasury maturities. Historically, the development has been met with an economic downturn and traders are certainly taking notice with risk assets off their recent highs. Still, the weaker-than-expected employment figures carried some strength under the hood, namely an increasing labor force, slipping joblessness and accelerating wages which is keeping the Fed on track for 25 in September rather than 50.
In the Pit with Cody Schneider | Marketing | Growth | Startups
In the Pit Podcast with Cody SchneiderBrought to you by...Swell AI: Content Repurposing Powered by AI - https://www.swellai.com/Drafthorse AI: Programmatic SEO powered by AI - https://www.drafthorseai.com/Landing Cat: AI Powered Programmatic SEO for eCommerce - https://www.drafthorseai.com/---SummaryIn this episode, Will Nelson discusses his experiences as an entrepreneur-in-residence at Tiny and his current venture, 64 Stories, which helps founders create social content. The conversation covers various strategies for B2B marketing, including the power of podcasts and newsletters in building audience relationships. They explore innovative ways to repurpose content, create media leverage, and establish thought leadership within niche markets.---Key Takeaway Timestamps:(03:37) The venture studio model can be attractive to entrepreneurs by reducing risk, but it's more suitable for cash flow-focused businesses rather than those needing significant funding.(10:22) Doing free work for potential clients who have access to your target customers can be an effective strategy to gain business.(16:08) Creating a podcast or newsletter for a specific niche can quickly establish thought leadership and provide direct access to potential customers.(26:30) Repurposing content across multiple platforms and formats can maximize reach and engagement with minimal additional effort.(35:12) Analyzing popular content in your target market can provide inspiration for creating high-performing content of your own.---Host LinksPersonal email newsletter - https://investorupdate.beehiiv.com/subscribehttps://twitter.com/codyschneiderxxhttps://www.linkedin.com/in/codyxschneider/https://codyschneider.com/https://inthepitpodcast.com/---Guest Linkshttps://www.64stories.co/https://www.linkedin.com/in/mrwillnelson/https://x.com/MrWillNelson
[This is a replay of episode #002] Andrew Wilkinson is the co-founder of Tiny, a venture capital firm that has helped to build over 25 profitable internet businesses over the last 15 years. He got his start founding MetaLab, one of the world's top design agencies. He has gone from working out of his apartment a little over a decade ago, to today overseeing a group of companies with over 300 employees and tens of millions in revenue. To support the costs of producing this podcast: >> Buy a copy of the Navalmanack: www.navalmanack.com/ >> Buy a copy of The Anthology of Balaji: https://balajianthology.com/ >> Sign up for my online course and community about building your Personal Leverage: https://www.ejorgenson.com/leverage >> Invest in early-stage companies alongside Eric and his partners at Rolling Fun: https://angel.co/v/back/rolling-fun >> Join the free weekly email list at ejorgenson.com/newsletter >> Text the podcast to a friend >> Or at least give the podcast a positive review to help us reach new listeners!
Welcome back to part two of our discussion wih Nik Hulewsky here on "Construct Your Life". Today, we're diving into a topic that truly intrigues me - the sudden surge of influencers launching podcasts. It's got me thinking, why now? Why this sudden interest in podcasting? Key Highlights: - Podcasting is seen as a messy but versatile form of marketing that offers unique opportunities for content creation and distribution. Unlike traditional marketing channels, podcasts allow for diverse content repurposing. - The power of podcasting lies in its potential for evergreen content creation and expansive distribution channels like YouTube. Podcasts provide a platform to leverage content in multiple ways for sustained audience engagement. - The adoption of podcasting by influencers, even those with significant business success like Andrew Wilkinson, signals a strategic move to amplify their brand visibility and reach new audiences. - Podcasting serves as a powerful tool for brand growth and audience engagement, offering a personal connection that traditional advertising can't match. - Personal branding and distribution are becoming increasingly vital in a fragmented business landscape, where visibility and brand perception play key roles in success. The conversation also delves into the importance of brand alignment and the risks associated with blending personal and business brands in the public eye. The cautionary tale of a business facing bankruptcy due to a controversial Facebook post underscores the need for strategic communication and brand management. So, as we navigate the ever-evolving media landscape, remember to tread carefully and thoughtfully in your public expressions. Your personal brand is closely intertwined with your business's reputation.
Record your first video https://creators.riverside.fm/Codie and use code CODIE for 15% off an individual plan. In this episode, Codie Sanchez interviews Canadian entrepreneur Andrew Wilkinson. They discuss his journey building companies like Metalab and Tiny, touching on key aspects of entrepreneurship such as delegation, handling failures, and managing stress. Andrew emphasizes learning from others, asking questions, and focusing on high-impact ventures. The conversation offers insights on handling fame, public perception, and resilience in business. Andrew highlights the importance of kindness, simplicity, and treating people equally in leadership. They also talk about influential books, the significance of relationships for happiness, and balancing work and personal life. 00:00 START 00:23 The Reality of Business: Challenges and Rewards 02:30 CEO Story Time: Lessons from Yoga 05:12 Steal My Rich Friend: Andrew Wilkinson 07:56 Building a Money Machine: Delegation and Systems 13:47 The Power of Questions: Learning from the Best 16:24 Finding Opportunities: The Unsexy Businesses 20:06 Lessons from Failure: The Path to Success 32:48 The Dark Side of Business: Dealing with Bad Actors 40:38 The Challenges of Fame: Public Life and Privacy 46:30 The Never-Ending Pursuit of Success 47:49 Craftsmanship vs. Business Expansion 50:15 The Paradox of Happiness 53:10 Managing Stress and Anxiety 56:50 The Importance of Relationships 01:09:06 Advice for Aspiring Entrepreneurs 01:20:30 Debrief and Reflections
Andrew Wilkinson is an entrepreneur, co-founder of Tiny Capital, and an investor. "I'll be happy when..." is the beginning of many people's mindsets about life and happiness. We assume that happiness sits on the other side of the next set of goals, even though right now we're on the other side of our last set of goals. So the question is, what if you're a billionaire? Does this pattern ever stop? Expect to learn whether successful people are just disordered, if SSRIs aren't actually that bad, what Andrew learned from Warren Buffett, whether there's a number you reach in your bank account to feel like you ‘made it', why wealthy people distort reality, where to find smart people to hire for your business, how to learn to trust your entrepreneurial gut and much more... Sponsors: See discounts for all the products I use and recommend: https://chriswillx.com/deals Get up to 20% discount on the best supplements from Momentous at https://livemomentous.com/modernwisdom (automatically applied at checkout) Get a 20% discount on Nomatic's amazing luggage at https://nomatic.com/modernwisdom (use code MW20) Get a 20% discount on your first order from Maui Nui Venison by going to https://mauinuivenison.com/modernwisdom (use code MODERNWISDOM) Sign up for a one-dollar-per-month trial period from Shopify at https://shopify.com/modernwisdom (automatically applied at checkout) Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices
Andrew Wilkinson went from barista to billionaire, and often wonders: When does it feel like he's accomplished enough? It's why he wrote his new book, "Never Enough." In this deep and personal conversation, we explore what it means to constantly want more, and how to find satisfaction in your accomplishments.
Episode 604: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk to Andrew Wilkinson ( https://x.com/awilkinson ) about how he went from a $6.50/hr barista to millionaire in just 4 years. — Show Notes: (1:00) From barista to billionaire (1:40) Andrew's 1st level up: From day job to self employed (3:26) Shaan 1st money made as an entrepreneur (4:40) Sam's 1st money as an entrepreneur (7:15) Andrew's 2nd level up: From self employed to boss (8:40) From selling your time to selling other people's time (9:30) Book: The E-Myth (Thinking of your business as a machine) (10:10) Andrew makes his first million dollars profit (12:00) Robert Kiyosaki's cashflow quadrant (13:20) Andrew's 3rd level up: Incubating Businesses - The decathlon of failed businesses (17:00) Andrew sells one of his businesses and creates a nest egg (18:45) Andrew discovers Warren Buffet's teachings and starts learning to invest. (19:48) Andrew's 20% rule (20:33) Sam's pauper tendencies (22:58) Andrew starts angel investing (24:00) Andrew starts hiring CEOs and removes himself from his businesses (28:30) Poker v Roulette in investing (31:20) Andrew's 4th level up: Taking his company public and reaching the end goal. However money didn't buy happiness. (33:46) What's the actual amount that will make you happy? (34:37) Business is a good way to build relationships (35:35) Figuring out your annual burn rate (36:48) The goals every entrepreneur should have. Launchpad. Enough. Life's Work (38:23) $10M = financial freedom (41:28) It doesn't take a special skill set to get to financial independence (46:41) Shaan's learns about the deferred life plan — Links: • Never Enough - https://www.neverenough.com/ (⬅️ Andrew's book!) • The E-Myth - https://shorturl.at/h7Q1J • Rich Dad Poor Dad - https://shorturl.at/S28Dd • How To Get Rich - https://shorturl.at/pGTSm — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano
Episode 587: Andrew Wilkinson ( https://twitter.com/awilkinson ) teaches the exact step-by-step process he uses to find, diligence, hire, and transition a great CEO. Get Andrew's CEO Hiring Guide and Checklist - https://tinyurl.com/ms8938kn — Show Notes: (0:00) Intro (1:36) Why you need a CEO (4:44) The third door: leave the business, keep the cash flow (8:48) Get back to your flow state (10:46) Step 1: Are you ready to hire a CEO? (15:16) Is this going to hurt my business? (16:46) Step 2: Find the RIGHT CEO (17:52) Hiring a recruiter (21:34) Look for a #2 with the right hammer (23:23) Be a collector of people (27:14) Step 3: Diligencing the candidate (28:48) Green flags, yellow flags, and red flags (32:21) 2x not 20x (34:41) Step 4: First 100 days (36:35) Don't poison the water (38:12) Flesh wounds not mortal wounds (40:06) Meet them in person (40:29) More on diligencing: Trust but verify (42:38) The DIY path (44:48) Step 5: Negotiating and structuring compensation (46:34) Uncapped bonuses vs equity (49:55) Myth: Is a founder-led business always better? — Links: • Burke and Associates - https://burkeandassociates.com/executive-search/ • Business Intelligence Advisors - https://www.biadvisors.com/ • Never Enough - https://neverenough.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano
Episode 579: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about 3 niche trends they've found that are guaranteed to make $1M+. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Shaan gets his hotness score (2:30) Reddit trend leads to $6M ARR beauty app for men (10:12) Male nail care influencers (12:42) Sam upstages Shaan's beauty score (14:00) Spin-off businesses: Med Spas (16:00) Aging influencers and modern male grooming products (20:27) The story of Teflon and Dupont's billion dollar problem (22:49) Forever chemicals are in our water (26:14) Pfas free products (29:12) A regulatory inflection point is here (33:16) Trend: Assassins with water guns (34:32) $0 - $250K MRR app (35:22) Playground virality (38:00) Trading expertise for social vouching (49:10) Exporting a profitable internal tool — Links: • Umax - https://tinyurl.com/mezh49ac • Acqua Pana - https://www.acquapanna.com • MAMAVATION - https://www.mamavation.com • Splashin - https://www.splashin.app • Splashin TikTok - https://www.tiktok.com/discover/splashin-app — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 578: Shaan Puri ( https://twitter.com/ShaanVP ) sits down with Joe Lonsdale ( https://twitter.com/JTLonsdale ) to talk about how he leveraged one internship at PayPal into one billion dollar success after another. Today Joe is Managing Partner of 8VC and an early investor in Anduril. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) The One Reason strategy (3:18) Learning Global Macro Finance from Peter Thiel (5:35) Taking multi-million dollar bets at 4:30am (8:43) Hire for raw IQ over expertise (10:33) Nurturing employees into unicorn founders (12:24) Solving hard problems with Addepar (13:53) Always “Being on” (15:32) How to spot opportunities for new businesses (21:10) How Epirus landed a military defense contract (27:09) Getting hits in hard domains (28:24) Business Idea: AI-powered Estate Planning (29:19) Business Idea: Business Process Outsourcing for local government (30:58) Big swings vs. base hits (31:49) Idea vs. execution (32:38) Focus vs. diversity of thought/attention (33:33) Insights from Elon's inner circle (35:36) Joe Lonsdale's unfair advantages (38:48) How to invest your time to make your first $1M (40:40) Working on an A+ problem as an intern at PayPal (43:15) Be within 2 standard deviations of top talent (44:14) Early days at Palantir (46:56) Building a top engineering culture (48:31) Borrowing trust as 21-year old defense contractor (52:22) Peter Thiel's biggest contrarian bet — Links: • Joe's Twitter - https://twitter.com/JTLonsdale • Joe's blog - https://blog.joelonsdale.com/ • Joe's podcast - https://www.americanoptimist.com/ • 8VC - https://www.8vc.com/ • Addepar - https://addepar.com/ • Palantir - https://www.palantir.com/ • Epirus- https://www.epirusinc.com/ • OpenGov - https://opengov.com/ • Prologis - https://www.prologis.com/ • Lessons from Peter Thiel - https://joelonsdale.com/lessons-peter-thiel/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 577: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about mysterious billionaire Thomas Tull. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Blue Collar Billy of The Week: Thomas Tull (2:29) Moneyball strategy for movies (5:20) Formula for box office hits: Bigger is better (7:25) International appeal (specifically China) (8:22) Data analytics for movie marketing (13:15) Flywheels at the highest level (24:31) Moneyball for X (26:42) Business lessons from the UFC (31:03) We give Zuck PR advice (33:02) What Dana White taught me about marketing (34:06) Level 1: Sell a product (34:46) Level 2: Sell a solution not a product (35:20) Level 3: Sell a Lifestyle (36:55) Level 4: Sell a feeling (39:18) Level 5: Identity in a box (46:49) Why Sam's new project will fail (52:38) Shaan workshops Sam's idea — Links: • The Information article - https://tinyurl.com/4csvs9ab • Legendary - https://www.legendary.com/ • “We Don't Sell Saddles Here” - https://tinyurl.com/2s39sjzf • SmartAsset - https://smartasset.com/ • Sam's List - https://samslist.co/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 576: Shaan Puri ( https://twitter.com/ShaanVP ) sits down with Tim Ferriss ( https://twitter.com/tferriss ) to talk about his latest lifestyle experiments and how to spend a perfect 24-hours. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Tim's "What's next?" framework (7:22) Creativity gyms + why money doesn't buy happiness (12:11) Book Recommendation: The New Toughness Training for Sports (15:51) Tim Ferriss's perfectly optimized day (23:06) The art of podcasting (32:03) From selling supplements to published author (38:42) Law of Category (42:23) Barbell strategy for Youtube (54:12) What would it look like if it was easy? (56:14) What is Tim's unfair advantage? (59:47) What silly story are we telling ourselves? (1:02:23) Stories about Naval — Links: • Tim's blog - https://tim.blog/ • Tim's books - https://tim.blog/tim-ferriss-books/ • “The New Toughness Training for Sports” - https://tinyurl.com/nhh6m4px • “The 22 Immutable Laws of Marketing” - https://tinyurl.com/2bmz43ve • 1,000 True Fans - https://kk.org/thetechnium/1000-true-fans/ • Blue Ocean Strategy - https://tinyurl.com/5739vvry — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 575: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about the weirdest things they've seen this week in business. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Kid Rock, our honorary Billy of the Week (8:13) Shaan's *new* rules for content (Partial list) (9:05) Rule 1: Older is better (13:07) Rule 5: Early. Arbitrage. Exploit (17:58) Rule 4: Pay for learning (19:45) Sam's cheat code for better alpha (23:57) How Kirk Kerkorian Became the Greatest Deal Maker in Capitalist History (29:48) Three rules of wealth. Compounding rate, length of runway, and… (34:11) Must Listen: Business Untitled (36:28) LeBron James is now a podcaster? — Links: • Kid Rock on Theo Von - https://www.youtube.com/watch?v=nReTPXtTDDc • Kid Rock's Rodeo - https://kidrock.com/blogs/news/kid-rocks-rock-roll-rodeo • Kid Rock's Honky Tonk - https://www.kidrockshonkytonkandsteakhouse.com/ • Nick Sleep Letters - https://tinyurl.com/2thhv6cy • AirChat - https://www.air.chat/ • GLG Insights - https://glginsights.com/ • The Gambler - https://tinyurl.com/4d4e62m2 • Business Untitled - https://tinyurl.com/26zkw9pr • LeBron's new podcast - https://tinyurl.com/2kuvsv5v — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 574: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk to Jeremy Giffon about what businesses he would buy if he was starting Tiny TODAY and a bunch of opportunities that he sees people sleeping on. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:23) Idea: Build businesses for people with audiences (5:48) Idea: Wirecutter for products that won't kill you (10:30) One chart business category: Regulation (14:55) Opportunity: Become a protege (19:19) Philosophy students > Business students (22:00) The myth the holdco (26:14) The pre- and post- fall (28:17) Idea: “Special situations" I.e. Distressed Venture (32:15) Working hard vs working winning while lazy (40:19) Hanging around the hoop (42:30) The most successful people respond immediately (43:55) Be Dennis the Menace (45:15) MrBeast shouldn't be selling chocolate (47:53) Billionaire is a state of mind (51:05) Silicon Valley guys envy hedge fund guys — Links: • Jeremy Giffon's Twitter - https://twitter.com/jeremygiffon • Live Oasis - https://www.live-oasis.com/ • Afina - http://afina.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 573: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk to Jeremy Giffon about how Tiny Capital turned $5M in equity into 30 profitable companies. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Humble beginnings at Tiny Capital (4:40) Tiny's first acquisition (8:17) 50X return on Dribbble (10:14) Skip the cash flow statements (11:57) How to spot the opportunity (14:00) Chris's superpower (16:20) Stomaching aggressively low offers (17:46) Make an offer and stop talking (19:36) It's not you vs. them (22:06) "What would need to be true to make this deal?" (23:03) How to crush the cold email (25:15) Worst deal -- ignored red flags, lost everything (27:00) Best deal: Mealime (25X return) (29:16) Weirdest deal ($36.00 acquisition) — Links: • Tiny Capital - https://www.tiny.com/ • Dribbble - https://dribbble.com/ • Metalab - https://www.metalab.com/ • Mealime - https://www.mealime.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 572: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about the 10 revelations learned from spending a week with Texas billionaires. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Tim Ferriss asks Shaan a hard question (panic ensues) (2:46) The Indian Warren Buffett (7:25) "Investing is not a team sport" (8:31) Mohnish Pabrai's Nap Room (10:28) Required reading list of a billionaire (11:47) He built 5 billion-dollar companies by 41 (15:39) 5 Revelations from a day with Joe Lonsdale (19:50) The final level of the money game: private chefs, full size basketball court, etc (20:52) Nick Gray, cocktail party legend (23:45) Hanging out with smarter people (27:17) Nerd sports that make the best entrepreneurs (31:17) Pay attention to what other people pay attention to (33:47) Ben Levy's superpower as a superconnector — Links: • The Dhando Investor - https://tinyurl.com/53p9bhfv • PeachyBbies - https://peachybbies.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 571: Shaan Puri (https://twitter.com/ShaanVP) talks to creator Jenny Hoyos who's mastered the virality recipe, about her step by step process for creating viral content that's pulled in over a BILLION views. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (00:00) Intro - Jenny's back story. From single digit views to hundreds of millions of views per episode. (1:15) Jenny is the anti-Mr. Beast. “They call me Mr. Least.” (2:10) Breaking down the perfect short. “Returning viewership is incredibly important.” (3:10) Examples of brands/channels that are doing the viral thing well. (4:00) The 4 criteria for a viral video. (8:20) Weaving your personal life into your content. (12:30) Shaan and Jenny build a viral video concept in real time. (16:50) The hook dictates the idea. (18:00) Power words - What are they and how to use them. (20:10) The metrics to pay attention to. (21:40) What your visuals should be. (24:10) Foreshadowing and how to use it. (25:25) The best storytelling. (26:50) Getting people to rewatch. (33:30) Nailing the ending. (35:00) Steal like an artist (36:40) Building tools to understand viewer psychology. (40:25) Guiding principle to winning audiences. (42:15) Predictions for the future of content demand. (43:30) Mindset for being creative. (48:25) Jenny's ultimate goal. (51:00) Where to find Jenny. — Links: Jenny's YouTube channel: https://www.youtube.com/@JennyHoyosLOL — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 570: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) go through Sam's journey of launching his company Hampton. It's a step by step walkthrough of what went right and what went wrong. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (00:00) Intro - A radically transparent look inside Hampton launch. (2:22) The beginning of the idea just after Sam sells The Hustle, starts tinkering with buying AirBnBs. (3:00) Fail #1: Short-term rental crew. Fail #2: Community of truckers. (4:30) The Hampton idea and what the business is. (5:45) Fail #3: V1, V2, V3 of Hampton - no one wanted it (8:00) Accepted where the demand was and found the hook for Hampton. Research begins. (10:08) Where the name came from. (12:05) Hired a branding agency (This was a hack that helped build the brand) (14:12) Things Sam said no to (17:00) Leverage the founder story (20:18) Shaan's branding agency experience (21:40) Shaan's $25K Mistake: Hiring a naming agency (26:00) Takeaways — Links: https://www.joinhampton.com/ Hampton Brand Inspiration doc: https://tinyurl.com/4uw5a9sv — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Episode 569: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) get into being productive without being a slave to your calendar. How to disable distractions, being effective vs being efficient, and living the unscheduled life. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) The joy of an unscheduled life (01:56) Maker vs manager schedule (02:32) Working in intentional spaces (04:59) Living without a to-do list (05:27) Reverse engineer your ideal day (8:26) "Show me your calendar and I'll show you your priorities" (09:19) Name your top 3 (quarterly) (12:56) Disable distractions (13:33) Be effective, not efficient (14:55) Do the big thing first (16:30) No loser works out at 7:00 am (17:47) The barbell strategy for building relationships (20:17) No as a default mode (21:04) Accepting the trade-offs — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More