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The Web Talk Show

The Web Talk Show

By: Armando J. Perez-Carreno
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About this listen

The Web Talk Show is your place for engaging conversations around business, AI, and web development. Learn what happens 'behind-the-scenes' in the day-to-day of different industries, and get inspired with what's possible.Armando J. Perez-Carreno
Episodes
  • Talking Shop: Rails and AI with Benito Serna
    Apr 22 2026

    Catching up with my old friend Benito Serna, CTO of briq.mx, for a relaxed chat about what actually goes on behind the scenes of a software powered business. We get into Ruby on Rails (yes, the stack Shopify and GitHub still run on), why it reads almost like English, how his team uses AI day to day, and what happens when non engineers try to vibe code their way past 20 messages.


    Follow briq.mx for more.

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    57 mins
  • Yes or No to Fractional CFO? (answer: it depends)
    Apr 22 2026

    Growing revenue means nothing if none of it reaches your bank account. In this episode, Armando sits down with Nate Littlewood, founder of Future Ready CFO, to talk about why so many founders feel financially stuck even as their businesses scale.

    Nate spent a decade on Wall Street and another decade building his own e-commerce company before launching Future Ready CFO, a fractional CFO practice for early-stage and growth-stage founders.

    If you are running a business and want to build a healthier relationship with your numbers, this episode is a great starting point. Hit subscribe for more conversations with founders, operators, and experts building the future.


    Connect with Nate:Website: https://futurereadycfo.comLinkedIn: https://www.linkedin.com/in/nathanlittlewood/

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    52 mins
  • The Real Reason Financial APIs Are Losing Their Moat
    Apr 20 2026

    Tommy Cotter from Benzinga joins the show to break down how stock market news actually works, and why their API business is quietly powering dashboards built by hobbyists at 2am and banks with millions of users alike. We get into the rise of prediction markets like Polymarket and Kalshi, how people are running arbitrage bots across them, and why 84 terabytes of historical news data is gold for training trading models. If you have ever wondered how financial media really makes money or thought about vibe coding your own trading tool, this one is worth your time.

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    54 mins
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