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Fintech Takes

Fintech Takes

Di: Alex Johnson
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 Fintech moves fast. But here at Fintech Takes, Alex Johnson and his rotating panel of guests move faster so that you can stay on top of the latest and greatest news in the industry without breaking a sweat. Welcome to Fintech Takes—the place where fintech’s biggest nerds come to sit back, relax, and completely geek out. Join Alex and a lineup of fintech’s brightest minds as they dissect what’s happening in fintech and banking. Each week, Alex and his guests recap the most interesting developments in fintech and explore the industry’s most pressing questions, diving headfirst into the intricate workings of some of the industry’s most ground-breaking business models and unpacking the emerging players that promise to shape fintech’s future. From riveting conversations with fintech’s most relevant operators to comprehensive recaps of the month's most compelling news stories and in-depth analyses of the latest regulatory developments, Fintech Takes is your one-stop-shop for navigating the fintech universe. Subscribe now to join fintech’s nerdiest podcast around!Copyright 2025 Alex Johnson Economia Finanza personale Politica e governo
Episodi
  • Diving Deep with Max Levchin

    Diving Deep with Max Levchin
    Dec 31 2025
    Welcome back to the Fintech Takes podcast. Today’s episode kicks off a new long-form interview format I’m calling Diving Deep. And in this episode, that’s exactly what we do with Max Levchin, co-founder and former CTO of PayPal and co-founder and the current CEO of Affirm. This is what makes Max one of the most influential people in the history of fintech. We start with Max’s early PayPal years, when building encrypted mobile wallets and secure handheld payments for Palm Pilots taught Max a lesson about timing, distribution, and the danger of solving puzzles before the market needs them (being right about the future means very little if you’re early in the wrong way). From there, the conversation follows the spine of Affirm’s business, underwriting. Max explores how his experience at PayPal pushed him toward lending at the point of sale, which unlocked a different kind of math (and how Affirm built an internal engine that could evolve as machine learning grew smarter, without losing reliability, repeatability, or regulatory discipline). That logic runs straight into product design. No late fees, treated as a constraint, not a revenue stream. Full Truth in Lending disclosures shown at checkout every time, even when advisers warned the extra screen would kill conversion. Credit bureau reporting when most other BNPL players avoided it. The throughline is incentives: design the system so the lender only wins when the customer does, and culture has a fighting chance to scale. We end in the future, with agentic commerce. As machines get better at optimizing decisions, the financial products that survive will be the ones that were honest to begin with (but also what happens when software starts flagging bad financial deals before people do?). Sign up for Alex’s Fintech Takes newsletter for the latest insightful analysis on fintech trends, along with a heaping pile of pop culture references and copious footnotes. Every Monday and Thursday: https://workweek.com/brand/fintech-takes/ And for more exclusive insider content, don’t forget to check out my YouTube page. Follow Max Levchin: LinkedIn: https://www.linkedin.com/in/maxlevchin/ Follow Alex Johnson: YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos LinkedIn: https://www.linkedin.com/in/alexhjohnson X: https://www.twitter.com/AlexH_Johnson
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    1 ora e 50 min
  • A Very Die Hard Christmas

    A Very Die Hard Christmas
    Dec 24 2025
    Welcome back to the Fintech Takes podcast. I’m Alex Johnson, joined by Kiah Haslett, Jason Mikula, and Jason Henrichs. Four people. Two Jasons. It’s been a while! Our group text has been arguing about the same thing for years, so we finally took it to the mic: is Die Hard a Christmas movie? The plan is simple. We spend an hour talking about Die Hard and pull it apart using ten questions I randomly came up with. We start with how each of us came to the movie. VHS scarcity. Delayed first viewings. Pausing the movie mid-stream to Google financial instruments. From there, we get into Bruce Willis, the accidental invention of the everyman action hero, and why this movie doesn’t work with Stallone, Schwarzenegger, or a 70-year-old Frank Sinatra crawling through air vents. Then we talk about villains, specifically, Hans Gruber. Along the way, we touch upon the FBI’s truly heroic ability to make everything worse, and just how many people in this movie are objectively bad at their jobs. At the center of it all is the plot device that sends us down the deepest rabbit hole: bearer bonds. Kiah walks us through what they were, why they existed, when they disappeared, and why it’s not totally impossible that some are still out there. Yes, it’s more educational than anyone intended. We wrap with favorite quotes, questions about workplace behavior in the 1980s, and the annual argument about what qualifies as a Christmas movie and who is allowed to die in one. It’s unserious. It’s overthought. It’s our most festive episode yet. Thanks for listening! This episode was brought to you by Marqeta. Don’t sacrifice agility for stability. With Marqeta, launch payments experiences that perform at scale and flex with your business. Learn more at https://marqeta.com/ftt Sign up for Alex’s Fintech Takes newsletter for the latest insightful analysis on fintech trends, along with a heaping pile of pop culture references and copious footnotes. Every Monday and Thursday: https://workweek.com/brand/fintech-takes/ And for more exclusive insider content, don’t forget to check out my YouTube page. Follow Kiah Haslett: Newsletter: https://fintechtakes.com/banking/newsletter-subscription/ LinkedIn: https://www.linkedin.com/in/khaslett Bank Nerd Corner podcast: https://podcasts.apple.com/us/podcast/bank-nerd-corner/id1845925869 Follow Jason Henrichs: LinkedIn: https://www.linkedin.com/in/jasonhenrichs/ Twitter: https://x.com/jasonhenrichs Breaking Banks podcast: https://podcasts.apple.com/us/podcast/breaking-banks/id641357669 Follow Jason Mikula: Newsletter: https://fintechbusinessweekly.substack.com/ LinkedIn: https://www.linkedin.com/in/jasonmikula/ Follow Alex: YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos LinkedIn: https://www.linkedin.com/in/alexhjohnson Twitter: https://www.twitter.com/AlexH_Johnson
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    1 ora e 11 min
  • Not Fintech Investment Advice: Trudenty, Tidalwave, Kaaj, & FinReach Solutions

    Not Fintech Investment Advice: Trudenty, Tidalwave, Kaaj, & FinReach Solutions
    Dec 17 2025
    Welcome back to Not Fintech Investment Advice, where Simon Taylor and I do what we do best: talk about fintech startups we’re absolutely not giving investment advice on. First up is Trudenty, a fraud intelligence network tackling first-party fraud. It uses federated learning to let issuers, PSPs, and merchants identify repeat abusers without sharing raw data. They’re starting with Worldline, JPMorgan Chase, and Mastercard, and keeping the pitch simple: they only sell one thing, and that one thing works. The stat that stuck with us? 80% of chargebacks are fraudulent. Next is TidalWave, agentic AI for mortgage point-of-sale. Instead of replacing loan officers, it works like a 24/7 assistant (one that handles follow-ups, corrects docs, and chases data). They’ve raised $22M, with the largest homebuilder in the U.S. on the cap table. It’s mortgage tech that avoids the loan origination system entirely, steering clear of regulated decisions while cleaning up the messy front-end workflow that still kills conversion. Then there’s Kaaj, which is aimed at the part of small business lending that no software platform has ever fully cracked. Think about a business applying for a government-guaranteed loan or financing a new piece of equipment; lenders have to parse tax returns, bank statements, and identity documents that never look the same twice. The loans are too small for a credit team, but too complex for automation. Kaaj trains AI agents to read those documents and create the first draft of a credit memo that a human can review. The product solves a real problem, but the question is: can they win the category? Finally, FinReach Solutions in India tackles the gap between micro and small business credit. Lenders have money. Credit guarantors are willing to share risk. What’s missing is the infrastructure between them. Every guarantee program runs on bespoke rules and manual forms. FinReach standardizes that process, automates the guarantees, and makes collateral-free lending possible at scale. Think of the US SBA, but rebuilt as actual software instead of paperwork. Plus, some closing manifestations: AI for mortgage POS should fix the front-end friction that causes borrowers to drop out; SMB lending needs an actual platform between public money and private lenders; and rising chargebacks might say less about fraud and more about good customers who are tired of being treated like suspects. Thanks for listening! This episode was brought to you by Marqeta. Don’t sacrifice agility for stability. With Marqeta, launch payments experiences that perform at scale and flex with your business. Learn more at https://marqeta.com/ftt Sign up for Alex’s Fintech Takes newsletter for the latest insightful analysis on fintech trends, along with a heaping pile of pop culture references and copious footnotes. Every Monday and Thursday: https://workweek.com/brand/fintech-takes/ And for more exclusive insider content, don’t forget to check out my YouTube page. Follow Simon: LinkedIn: https://www.linkedin.com/in/sytaylor/ Substack: https://sytaylor.substack.com Follow Alex: YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos LinkedIn: https://www.linkedin.com/in/alexhjohnson Twitter: https://www.twitter.com/AlexH_Johnson Companies featured: https://trudenty.com/ https://www.tidalwave.ai/ https://kaaj.ai/ https://www.finreach.in/
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    57 min
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