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26:15 view 00:18 on 00:47 on

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43:16 the girls to check the numbers, 42:34 Und das ist ja, also da gibt es ja diesen The Hidden Figures,

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36:41 the floor on pieces. It is the bane of my existence. 03:13 on the straight and narrow, but I'm doing better. I 13:07 conversation with Tracy Potts. She is on the board of

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17:21 to see the better points on what I view as 03:00 use the restroom on the toilet. I started bleeding a lot, 06:49 the kids were knocking on the door right outside of it,

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38:16 und zahlen 10 Euro, ist das für mich ein guter Return on Investment. 38:21 Wahnsinn, vor allen Dingen dieses On-Scale, das macht es ja besonders anfällig.

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00:00 Today on Python test, I have asked Cory Zhu to be on the show, and, I'm excite I'm super excited, actually. I'm, like, totally stoked because, Corey has done he's a Django, like, guru and has done a project called SaaS Pegasus. Hopefully I'm hoping that SASPegasus will help me get a SAS project off the ground. So, we're gonna talk some Django. Thank you, Corey, for being on the show. 42:51 Well, none isn't an option. I can't pay none on your 38:12 Are you, like so, are you a CSS person yourself? Do you, like do you know the fiddling with it, or are you leaning on these frameworks to do most of the work for you?

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1:05:28 Thievery Corporation, Letter to the Editor, Gitch, Rotate into Form, kenn ich nicht. 1:25:39 Also einmal bei Apple natürlich ein Stück Serie von Masters of the Air,

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1:03:45 Lass uns noch einmal in dieses Spannungsfeld eintauchen zwischen den On-the-Edge-Wissenschaftlern 51:40 der das irgendwie ansagt oder eine hohe Autonomie, wo du sehr viel on the edge entscheidest. 56:30 Das, glaube ich, ist After-the-Fact, also nachdem man etwas eingeführt hat,

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39:19 You might have clients at 5 different companies, and you need all those calendars on one view. Right? All these cases are really freaking difficult to build. And that is a mote for us because we spent the time we talked to tens of thousands of people manually to get to this point. 43:39 Yes. We've also found that EAs do everything on the computer. Just because 18:05 And we see that conversion is, like, 3 times higher. Retention is also much higher. Obviously, you can't do it at the same scale, so it really depends on how you qualify the users that get on the call.

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28:38 One of the things that we really focus on here and and have and and try to do a good job of is just always taking, kind of the, the customer feedback and relate it back to the business problem and saying, okay. What's the business problem that you're trying to solve? And getting a really clear view of that, And then we will try to really influence the how we solve it for you. And what that allows us to do is validate the problem with other customers. Right? 20:53 Banks pride themselves on on that relationship. Right? A lot of banks talk about this. If you talk to a banker, it's like, hey, we we pride ourselves on the relationships and providing great customer service. They're not sure AI can do that. 30:41 of sense. So I'm curious to get your thoughts on because you've been in the the Fintech space a long time, what advice do you like to pass on to kind of founders or maybe people that are struggling in the Fintech space or that have, you know, that you wish you would have known, you know, maybe earlier on in your career?

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39:29 Yeah. I mean, I I think one of the one of the one of the the the, I suppose, the the lessons that that we learned and and and helped us is not just to jump straight in. You you need to you need to to learn the the different spaces of of not just from a technology point of view, but from a community. You know, really understand how to build a a a community, get involved with with other projects. If you are kind of on your own, we only started with with 4 of us, you know, don't don't let that the this this page. 02:09 And that that was probably the computer that eventually had set me on a path to becoming a programmer, although I didn't know that at the time. Do you want me to carry on? 25:33 No. Yeah. I think that makes a lot of sense. So how do you or plan on monetizing the platform and the game?

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02:38 So I've been working on xyl for the last, you know, almost, what, 5, 6 years now. And, we're really focusing on on the the data of of cryptography and the the Internet. And, it's really important for us to understand why we have data and what's going on. We see a lot of the the warts that's appearing nowadays. You have deep fakes, you have AI, you have all these different issues. 50:35 Yeah. Well, go to xy0.network to be able to get, information about what we're doing there, what our projects, is. Obviously, you can find our token on, Coinbase and on a variety of different different things out there. We also have our stock is traded on x y x y l b on, on t zero. I think we're the highest volume stock on there most days. 43:51 No. Makes a lot of sense. So and there's probably mixed opinions on this, but how much of a product should you potentially put on the blockchain from day 1? Should all of it, some of it, depends on the feature set, or what's your thoughts around that?

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29:56 I'm a real believer that it's about the Sorry, go on. 09:47 So that was quite difficult from a time standpoint of view. So we migrated into field roles in Europe. But and it was, you know, AWS is a really interesting place. I know less about Amazon, more about AWS. Okay. 02:00 Okay. But what got you passionate about that early on?

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16:40 alles from the scratch selber zu entwickeln, sondern da werden Open-Source-Komponenten