The Peel with Turner Novak

Turner Novak

Exploring the world’s greatest startup stories. Get a behind the scenes look into the founding stories of your favorite companies. Learn how the industries they operate in actually work, and learn playbooks and tactics you can use to launch and scale your own business.

  1. 3d ago

    How Athletes Get Into the Top VC Funds | Ryan Nece, Next Legacy

    Ryan Nece runs Next Legacy, a $4 billion fund of funds that connects athletes and philanthropists with the top venture capital firms in the world. Ryan is the only player in NFL history to win a Super Bowl as a rookie and go 0-16 in his final season. His dad, Hall of Famer Ronnie Lott, started one of the first athlete-backed venture funds with Joe Montana in the late '90s. Ryan rebuilt that playbook a generation later, so almost nobody is better positioned to explain the similarities between pro athletes and the top founders / investors, how athletes actually break into Silicon Valley, the biggest mistakes they usually make, . Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) How a football family broke into Silicon Valley (4:33) A Super Bowl rookie year with four Hall of Famers (8:09) What separates the top 0.1% of athletes? (12:18) The mistake of having "a guy" (18:41) Vetting who to trust (20:18) The dumbest investments athletes make (22:45) How athletes can help founders (29:44) VC Power Law is just like sports (34:24) How to break in without connections (38:05) Building Next Legacy to $4B AUM (40:44) Why they give away all the profits (43:20) Early firm building mistakes (48:19) Learning to pitch institutional LP's (53:03) The emerging-manager barbell (55:45) “Your starting five tells me who you are” (57:47) The other AI: Authentic Interaction (59:55) Getting LP attention with the rule of three (1:03:40) Working the whisper network (1:06:03) Pick the kid who gets picked last (1:12:26) The Lions 0-16 season (1:14:43) The “Next Play” mindset (1:19:28) Mental toughness (1:21:32) What it’s like commentating an NFL game (1:27:14) Getting cussed out by Warren Sapp (1:31:13) His favorite athlete: Jerry Rice (1:35:15) Abe Lincoln and his grandfather's restaurants Referenced Next Legacy: https://www.nextlegacy.com/ Give and Take: https://www.amazon.com/Give-Take-Helping-Others-Success/dp/0143124986 Three Feet From from Gold: https://www.amazon.com/Three-Feet-Gold-Obstacles-Opportunities/dp/1402784791 Team of Rivals: https://www.amazon.com/Team-Rivals-Political-Abraham-Lincoln/dp/0743270754 Follow Ryan Twitter: https://x.com/ryannece LinkedIn: https://www.linkedin.com/in/ryan-nece-abb07b8 Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    How Athletes Get Into the Top VC Funds | Ryan Nece, Next Legacy

  2. Aug 27

    Leaving Sequoia to Bet on Ohio: Why America is the Best Emerging Market | Chris Olsen, Drive Capital

    Chris is the Co-Founder and CEO of Drive Capital. Prior to Drive, Chris was a Partner at Sequoia Capital where he helped launch the firm’s first growth fund. Chris left Sequoia in 2012 to start Drive in Ohio on a single bet: the best companies in America are getting built outside Silicon Valley (and almost nobody's funding them). Thirteen years later, Drive has handed back over $1 billion to its investors in a market where most funds can't return a dollar. We talk chasing $2B outcomes instead of $50B, when his lead investor pulled out the day he moved from SF to Columbus, why only 100 of 3,500 firms can raise right now, the welders quitting to drive DoorDash, and why America is the best emerging market on earth. Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) America is the best emerging market (8:13) Why this couldn't have happened pre-2006 (10:48) Top lessons from 10 years at Sequoia (14:17) Why the "meeting factory" model fails (21:42) Searching for vacuums (24:51) Sequoia passed on a company 10 miles too far (29:37) Greece's GDP equals Detroit's (34:34) The biggest tech companies aren't in SF (40:28) 223 meetings to raise Fund 1 (44:27) Turning one fund into a product catalog (48:47) The day his biggest LP pulled out (52:08) Fundraising is a persistence game (57:36) Returning $500M in a single week (59:56) Only 12 companies hit $50B in 20 years (1:01:29) Why Drive owns 30%, not 10% (1:05:03) Returns over logos, the carry math (1:10:00) Mindset of VC's outside SF (1:15:54) How AI unlocks boring, giant markets (1:19:22) Investing in catalysts, not sectors or geo (1:25:35) 3,500 firms raised, 100 survived (1:31:33) OpenAI won't eat every other company (1:37:46) Compete with yesterday's version of yourself (1:40:19) Small changes, compounding results Referenced Drive Capital: http://drivecapital.com/ Follow Chris Twitter: https://x.com/ChrisOlsenCMH LinkedIn: https://www.linkedin.com/in/cholsen Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    Leaving Sequoia to Bet on Ohio: Why America is the Best Emerging Market | Chris Olsen, Drive Capital

  3. Aug 24

    Brex’s 1st Employee On Thinking Like a Founder | Michael Tannenbaum, CEO of Figure

    Michael Tannenbaum is the CEO of Figure, the blockchain lending company he took public in 2025. He was employee #1 at Brex, and before that ran the mortgage business at SoFi. Mike Cagney, who founded both SoFi and Figure, pulled him back to take Figure public in 2025. This is a conversation on how to think and act like a founder, the framework he uses to run Figure, plus a look at how a lending business works under the hood, why he ran the broken mortgage business at SoFi to prove himself, the time Masa offered him a billion dollars, how he nearly walking away from Brex right before they launched, inside the SVB collapse, how Figure originates loans for $1,000 instead of $12,000, their recent Kiavi acquisition, and the gas station test his dad taught him. Thank you to Mike Cagney, Art Levy, and Sam Blond for helping brainstorm topics for the conversation! Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) From Brex employee #1 to public-company CEO (1:28) Operating vs managing a career (3:23) Why he took the worst business at SoFi (9:33) The Big Rock framework (11:02) How to get real customer feedback (14:58) The best nose for value in fintech (17:49) Why banking the affluent beats down-market (21:12) Figure: cutting mortgage cost from $12k to $1k (25:41) Do you actually need to use blockchain? (28:03) Why memecoins took over crypto (32:17) Masa's billion-dollar offer (36:29) Leaving SoFi for two kids in a kitchen (39:05) Six months from almost quitting to a unicorn (44:09) The finance guy who ran Brex's marketing (47:03) Inside Brex during the SVB collapse (51:09) The two SoFi insights behind Figure (54:40) From direct-to-consumer to B2B marketplace (56:41) AI can’t get you better credit ratings (58:50) Figure is a modern Fannie Mae (1:01:28) Buyers who commit before the loan exists (1:03:59) Following customers into new products (1:06:35) Buying Kiavi, the fix-and-flip leader (1:12:15) Why more fintech’s don't become marketplaces (1:14:46) The AI risk in outsourcing customer acquisition (1:18:23) What going public actually takes (1:20:14) Life as a public-company CEO (1:22:38) Getting shorted (1:24:12) The gas station test (1:25:42) The reverse pyramid of big corporates Referenced Figure: https://www.figure.com/ Careers at Figure: https://www.figure.com/careers/ Kiavi: https://www.kiavi.com/ Follow Michael Twitter: https://x.com/MBTannenbaum LinkedIn: https://www.linkedin.com/in/michaeltannenbaum/ Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    Brex’s 1st Employee On Thinking Like a Founder | Michael Tannenbaum, CEO of Figure

  4. Aug 14

    Re-founding a Company for the AI Era | Shensi Ding, Merge

    Shensi Ding is the co-founder and CEO of Merge, the connective infrastructure that plugs into every tool. Merge started in 2020 building integrations, watched its first customers die off, then rebuilt itself twice for the AI era. Not many founders talk this honestly about tearing up their company. A lot of lessons for others trying to do the same. We get into why integrations turned out to be so important in AI, the night-shift 5-11pm build of their AI transformation, almost hiring a foreign spy, why Shensi thinks founders with an EA are moving too slow, the Embarrassment Framework, why 60% of public MCP servers quietly fail, vibe coding a dinner bot that 10x'd their customer events, and why 6% of Merge employees get married. Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) Something broke every year since 2020 (2:22) How Merge went all-in on AI on nights and weekends (5:40) New launches got faster (8:32) Building connective infrastructure for AI (10:51) The dinner where Merge started (13:11) Six months of research before a line of code (19:00) Almost hiring a foreign spy (20:48) Merge’s 6% marriage rate (22:50) Hiring enthusiastic, nice, smart people (28:02) Early stage founders don’t need an EA (31:27) Shortcuts are a mentality (33:01) The AI tool that 10x'd their customer dinners (38:33) Marketing became an engineering function (40:51) Starting with SMB and climbing the logo ladder (42:07) How the product went cross-category (44:16) Launching Agent Handler and a new pricing model (46:47) Every product should be multi-model (49:58) Why most MCP servers don’t work (53:31) Startups should go all-in on enterprise (57:00) The hardest things are most defensible (1:00:26) Say "psycho shit" to be memorable (1:05:47) The Embarrassment Framework (1:10:23) Frank Slootman and being okay with being disliked (1:12:48) Giving feedback got scarier at 100 people (1:14:01) What only the CEO can do (1:19:44) The best marketing is not doing what everyone else does Referenced Try Merge: https://merge.dev/turner Careers at Merge: https://www.merge.dev/careers Follow Shesi Twitter: https://x.com/shensi LinkedIn: https://www.linkedin.com/in/shensiding Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    Re-founding a Company for the AI Era | Shensi Ding, Merge

  5. Aug 7

    The 18x Midas Lister Betting $3B on AI (and calling most of it fake) | Navin Chaddha, Mayfield

    Navin Chaddha is the Managing Partner at Mayfield. He’s made the Forbes Midas List 18 times, and thinks a lot of the AI revenue everyone's chasing right now is fake. Mayfield is a 56-year-old firm that backs founders at the paper-and-pencil stage. They’re investing $3 billion into AI, but Navin warns the market is overcapitalized by a factor of 10x. We get into what’s actually going on with the $1B+ funding rounds, the $25 trillion of value AI has to justify, the dangers of FOMO, how he separates vibe revenue from real revenue, backing vertical models instead of horizontal ones, why inference will dwarf training, how a startup actually beats a $100 billion incumbent, the people x-ray behind his founder bets, what cricket taught him about running a company, lessons being the last founder to IPO before the Dot Com Crash, what he learned working with Satya Nadella, and the unfinished business still driving him. Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: 0:00 Lumilens: Zero to $3B revenue in 14 months 0:50 Connecting GPU's is AI's next bottleneck 5:07 Mayfield: investing $3B in AI and semiconductors 9:39 Where a $1B round actually gets spent 12:51 The six-layer AI stack, and who needs mega-rounds 15:00 Why AI is overcapitalized by 10x 17:47 FOMO is for sheep 21:13 Vibe revenue vs real revenue 22:45 Backing vertical models 24:22 The best firms have one North Star 27:18 Are semiconductors still cyclical? 29:10 Why inference will dwarf training 31:19 What happens after every infra build-out 36:27 2 billion Gemini users isn't real AI adoption 38:21 What a correction does to AI stocks 40:46 How FOMO pulls VC's into hot categories 44:13 What Navin looks for in founders 50:23 Why "everyone hates this category" can be a buy signal 54:12 The argument against the cloud everyone got wrong 57:20 What white-collar work AI teammates will take 1:01:45 How AI startups beat incumbents 1:06:54 Why startups die of indigestion 1:11:49 Mayfield’s secret formula: people-first 1:19:18 What cricket taught Navin about building companies 1:23:17 Dropping out of Stanford to start VXtreme 1:29:22 Blitzscaling to blitz-failing: the last IPO before the Dot-Com Crash 1:31:25 Joining Mayfield instead of starting a 4th company 1:33:29 Unfinished business (backing a $1T company) 1:35:54 Could you tell Satya would run Microsoft? 1:38:58 Investors he respects, founders he missed Referenced Mayfield: https://www.mayfield.com/ Lumilens: https://lumilens.com/ Lumilens Raises $700M: https://www.wsj.com/tech/startup-raises-700-million-to-replace-data-center-wires-with-light-adc74358?mod=e2twd Built to Last by Jim Collins: https://www.amazon.com/s?k=built+to+last+-+jim+collins&adgrpid=186020621003&hvadid=779535177756&hvdev=c&hvexpln=0&hvlocphy=9218885&hvnetw=g&hvocijid=9037174021105194159--&hvqmt=e&hvrand=9037174021105194159&hvtargid=kwd-362242264527&hydadcr=21907_13365950_10662&mcid=f1dd2c5deb5539b7afc6bcdfee5613c8&tag=googhydr-20&ref=pd_sl_4b3f3t1l23_e Follow Navin LinkedIn: https://www.linkedin.com/in/navinchaddha Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    The 18x Midas Lister Betting $3B on AI (and calling most of it fake) | Navin Chaddha, Mayfield

  6. Jul 30

    Healthcare Skipped The Internet And Went Straight To AI | Alamin Uddin, NexHealth

    Alamin Uddin is the co-founder and CEO of NexHealth. Today, NexHealth’s healthcare infrastructure serves 89 million patients. But at one point, the company had $4,000 in the bank and a maxed-out Amex card. We talk about why 75% of dentists still keep a server in the closet, how healthcare skipped the internet, cloud, and mobile and went straight to AI, why most healthcare systems have no API, funding the company with side hustles, the $36k customer pre-pay that saved the business, how 81% of new AI healthcare startups are built on NexHealth, where he thinks AI value actually accrues, and outlasting OpenAI. Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) Healthcare skipped 3 platform shifts and went straight to AI (4:10) 75% of dentists still have on-prem servers (10:05) How data interoperability holds back healthcare innovation (16:02) Why everyone blames Epic (20:15) Building the developer platform for healthcare (24:36) Why everyone fails to fix the problem (29:11) Fragmented markets enabled developer platforms (32:32) Working as a receptionist at a doctor’s office (36:13) Building a prototype on Twilio (39:15) How incumbents went from blocking to partnering (46:05) Canvassing Soho dentists door-to-door (53:47) Reverse-engineering 40-year old databases (56:21) Funding NexHealth with side hustles for two years (57:30) The scheduling wedge no one could match (1:02:20) Raising $391k from professors and customers (1:03:46) Running out of cash, why customers kept churning (1:07:45) $4,000 in the bank and a maxed-out Amex (1:11:12) The $36k pre-pay that saved the company (1:13:24) NexHealth’s three businesses today (1:20:18) Payments and the “admin-day” problem (1:26:15) 72% sales win rate (1:28:27) The term sheet signed the week before COVID (1:30:26) Spending half the Series A on an acquisition (1:33:47) Raising $176M they didn't need (1:37:28) Why starting before 2022 is an advantage (1:42:22) Where AI value accrues: chips, models, the action layer (1:44:55) 81% of AI products are built on NexHealth (1:48:24) Staying patient for three years after ChatGPT (1:51:25) Competitors building on their API (1:54:02) “We’re a tech company, not healthcare company” (1:56:09) Hiring from outside healthcare (1:58:34) Shoes, email over Slack (2:01:21) What AI changed inside the company (2:04:16) Inspiration from Microsoft in 1977 - 1990 Referenced NexHealth: https://www.nexhealth.com/ Build on NexHealth: https://docs.nexhealth.com/ Careers at NexHealth: https://www.nexhealth.com/careers The Secret 3-Step Master Plan to Cure Healthcare: https://www.notboring.co/p/the-secret-3-step-master-plan-to Follow Alamin Twitter: https://x.com/alfromnexhealth LinkedIn: https://www.linkedin.com/in/alamin-uddin-95284889 Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    Healthcare Skipped The Internet And Went Straight To AI | Alamin Uddin, NexHealth

  7. Jul 23

    Inside Solana's Plan to Replace Wall Street | Anatoly Yakovenko, Solana

    Anatoly Yakovenko is the co-founder of Solana, the fastest scaled blockchain in the world. We start by talking about how non-US residents were trading SpaceX on Solana pre-IPO, and which parlayed into the last 130 years of US financial markets. We then get into how Solana is removing eight layers of middlemen that make-up the legacy financial system, whether you actually need to use blockchain to do this, the 4am inspiration to start Solana, how Solana was 10,000x faster than Bitcoin, why a16z passed on investing then paid a 1,000x higher price, how launching Solana at the bottom of the market right as COVID hit led to their success, why AI won’t take your job, growing up sharing one toilet with four families in the USSR, and playing competitive underwater hockey. Thanks to this episodes sponsors! Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) Trading SpaceX on Solana (3:02) Why Wall Street runs on 100 year old tech (10:51) US dominance created demand for tokenized stocks (13:58) Complexity reduces risk of the financial system (15:51) Do you need to use blockchain? (18:34) Privacy tradeoffs of public ledgers (23:45) Making a 10,000x faster blockchain (30:05) A new data structure based on time (32:54) Trading was Solana’s first use case (37:41) Advice from his wife that led to Solana (40:05) Why a16z passed (then paid up 1,000x) (43:50) Rejection and COVID led to Solana’s fast adoption (48:30) Best time to launch is the bottom of a market (52:56) Why Bitcoin and Ethereum were so slow (57:38) Rebuilding Solana with Alpenglow (1:01:23) 35% of all stablecoin volume runs on Solana (1:04:26) Motors replaced 200 billion jobs, AI will replace 100 billion (1:08:17) It’s selfish to protest data centers (1:10:11) Growing up in the USSR: one toilet, four families (1:12:27) Culture shock moving to the US (1:13:23) Government spending is fake GDP (1:15:49) Playing competitive underwater hockey (1:18:01) Armani at Backpack (1:19:23) How Solana survived the FTX collapse (1:22:47) There won’t be massive AI job loss Referenced Solana: https://solana.com/ Jobs at Solana: https://jobs.solana.com/companies/solana-foundation-2 Slow Ventures: https://slow.co/ Foundation Capital: https://foundationcapital.com/ Multicoin: https://multicoin.capital/ Follow Anatoly Twitter: https://x.com/toly?lang=en LinkedIn: https://www.linkedin.com/in/anatoly-yakovenko Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    Inside Solana's Plan to Replace Wall Street | Anatoly Yakovenko, Solana

  8. Jul 17

    The Hidden Layer Every AI Agent Runs On | Tony Holdstock-Brown, Inngest

    Tony Holdstock-Brown is the co-founder and CEO of Inngest, the durable execution platform that quietly powers your favorite AI agents. We get into why agents work in a demo and die in production, building their own cloud to get 20x lower cost, growing 35x after AWS and Cloudflare copied them, growing a dev tools company without a personal brand or Twitter account, why he thinks evals today are like “asking the criminal if they committed the crime”, and the thing they built to score 100% of your production agents without paying for LLM as a judge. Thank you to Numeral, Flex, Amplitude, Merge, and Monaco for supporting this episode. Numeral: Sales tax on autopilot https://www.numeral.com Flex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapital Amplitude: AI analytics https://www.amplitude.com Merge: Every model, one API https://www.merge.dev/turner Monaco: The revenue engine for startups https://www.monaco.com/ Timestamps: (0:00) The hidden infra layer every AI agent runs on (1:46) Building complex chains of logic (3:31) Why agent SDK's don't go far enough (4:49) Healthcare was the original event-driven nightmare (6:32) Storing traces on your infrastructure enables self-improving loops (14:26) Why Inngest was already in the right place for AI (15:49) Score agents off product events, not LLM's (17:31) The OpenAI copy-paste signal (21:24) Swap in LLMs and cut costs 20x (23:44) How customers pulled the product forward (25:41) Orchestration belongs outside the sandbox (29:48) Building a neocloud to cut costs 20x (32:09) Most neoclouds just resell AWS (32:54) All AI infrastructure is converging (34:49) Why Claude can't just build your backend (36:44) How to build a software factory (39:12) Agents are a lottery you get addicted to (42:44) Loops must exist until AGI hits (45:38) If models keep getting better, why orchestrate? (48:28) When incumbents steal your features (52:30) Why you can't vibe code infrastructure (55:54) Why Tony has no personal brand (59:38) Dev tools GTM without Twitter (1:03:20) Lessons from the founder of DuckDuckGo (1:10:39) Truth as a company value (1:13:08) Taking too long adapting to AI (1:15:10) Startups are 100% R&D (1:17:19) Ali from Databricks (1:19:03) Writing his own code, Voice-to-text with local models (1:23:53) Evals are batshit insane Referenced Inngest: https://www.inngest.com/ Principles by Ray Dalio: https://www.amazon.com/dp/1501124021?lv=shuf&channelId=500&plpRedirect=mhFallback Traction - How Any Startup Can Achieve Explosive Customer Growth: https://www.amazon.com/dp/1591848369?lv=shuf&channelId=500&plpRedirect=mhFallback Follow Tony Twitter: https://x.com/itstonyhb LinkedIn: https://www.linkedin.com/in/tonyhb/ Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

    The Hidden Layer Every AI Agent Runs On | Tony Holdstock-Brown, Inngest
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About

Exploring the world’s greatest startup stories. Get a behind the scenes look into the founding stories of your favorite companies. Learn how the industries they operate in actually work, and learn playbooks and tactics you can use to launch and scale your own business.

Information

  • Creator
    Turner Novak
  • Years Active
    2023 - 2026
  • Episodes
    157
  • Rating
    Explicit
  • Copyright
    © Turner Novak
  • Show Website
    The Peel with Turner Novak

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