Evidence receipt / evaluation
Published · transcript-backedDhanji R. Prasanna: evaluation
26 Oct 2025 Lenny's Podcast How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna
“We'll build some great experiments that really resonate, and then we have to spend a lot of time ironing out the long tail of problems. So in Cash Card, for example, we built the entire functionality of Cash Card, I would say pretty much in a weekend or maybe a week of integration and work.”
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Everything needed to verify it.
- Speaker
- Dhanji R. Prasanna
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 26 Oct 2025
- Publisher
- Lenny's Podcast
Transcript context
…Yeah, I think people forget just how much maintenance it takes to keep something you've built. Like, "Okay, cool, we built it in a weekend and now it's years of endless maintenance and requests and support." And also to your point, it feels like it comes back to the always motto of just focus on your core competencies and then buy everything else. Yeah, it's the classic 80/20 problem, and we have that enough with the apps that we build for our customers. We'll build some great experiments that really resonate, and then we have to spend a lot of time ironing out the long tail of problems. So in Cash Card, for example, we built the entire functionality of Cash Card, I would say pretty much in a weekend or maybe a week of integration and work. And then it took a really long time to iron out all these edge cases where someone would tip twice the value of the bill and then it would completely break something in the back end, or people would use it as a gas station and they have a different way of billing your card. So yeah, it's very much that. And to your point, I would always come back to what is the reason we're doing this? Why does it matter to us and to our customers? And if it doesn't clearly satisfy that, I would just push it off as a not interesting thing. This episode is brought to you by Persona, the verified identity platform, helping organizations onboard users fight fraud and build trust. We talk a lot on this podcast about the amazing advances in ai, but this can be a double-edged sword. For every wow moment, there are fraudsters using the same tech to wreak havoc, laundering money, taking over employee identities and impersonating businesses. Persona helps combat these threats with automated user business and employee verification. Whether you're looking to catch candidate fraud, meet age restrictions or keep your platform safe, Persona helps you verify users in a way that's tailored to your specific needs. Best of all, Persona makes it easy to know who you're dealing with without adding friction for good users. This is why leading platforms like Etsy, LinkedIn, Square and Lyft trust Persona to secure their platform persona is also offering my listeners 500 free services per month for one full year, just head to withpersona.com/lenny to get started, that's withpersona.com/lenny. Thanks again to Persona for sponsoring this episode. One of the biggest parts of the conversation around AI is hiring jobs, things like that. So I have two kind of this two-part question. One is just how has the rise of all these AI tools, this increased productivity impacted the way you plan head counts and hire? And then what do you look for that's different in people you're hiring now that AI is such a big part of the way you guys work?…
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