Oji Udezue: recommendation

Transcript context

…That's an amazing example. Can I just make one? I'm always high concept prediction guy. So I'm going to make one prediction. I think that in the next few years a lot of high agency people or just PMs will essentially be writing the software that automates their lives. And so, the one man SaaS is going to go away because there'll be a hundred million developers because people who really care will automate their lives. They'll build applications that just works with them. And the advice for PMs is that we should be the vanguard of that because if we can start doing that for ourselves, we'll be able to do that for software that hits a million people because that's the way to get started. And we also want to offer hope. It's still day one, meaning that no matter how far, if you hear me and hear about fine-tuning and Home Assistant and all this crazy hardware that I'm trying to build and you're scared, you're like, "I'm behind." You're not behind. You're not behind. People who seem like they're succeeding, we were here when the internet dropped and everyone... Microsoft thought it was behind. And with social people, some people thought they were behind. The people who seem like they're off the gate fastest, whether it's a company or a person are the people who win. And so, it's the wisest and the most dedicated that win. And so people should just start. [inaudible 00:37:06] people we have the proverb that says, "Whenever you wake up is your morning." And so just wake up and go. I love so much of the advice you two are sharing. There's a post I'm going to link to in the show notes that shares a bunch of examples of what people are byte coding, building with AI. That seems to be the biggest challenge for a lot of people is just like, "What should I actually do?" And something that I realized as I was putting that together is people think about like, "Oh, can you build real product and businesses on Bolt, Lovable Replit?" But interestingly, most people just want to build a thing that solves a specific problem for themselves. And sometimes that turns into a thing, but there's almost a bigger opportunity just to build those personal softwares similar to the example you shared Ezinne. There's a site, someone built this like, "How many layers should I wear today.com." Or whatever. I don't think that's the actual domain and it's just three. And that's sometimes all you need to know. Today's episode is brought to you by Coda. I personally use Coda every single day to manage my podcast and also to manage my community. It's where I put the questions that I plan to ask every guest that's coming on the podcast. It's where I put my community resources, it's how I manage my workflows. Here's how Coda can help you. Imagine starting a project at work and your vision is clear. You know exactly who's doing what and where to find the data that you need to do your part. In fact, you don't have to waste time searching for anything because everything your team needs from project trackers and OKRs, the documents and spreadsheets lives in one tab all in Coda. With Coda's collaborative all-in-one workspace, you get the flexibility of docs, the structure of spreadsheets, the power of applications, and the intelligence of AI all in one easy-to-organize tab. Like I mentioned earlier, I use Coda every single day. And more than 50,000 teams trust Coda to keep them more aligned and focused. If you're a startup team looking to increase alignment and agility, Coda can help you move from planning to execution in record time. To try it for yourself, go to coda.io/Lenny today and get six months free of the team plan for startups. That's coda.io/Lenny to get started for free and get six months of the team plan, coda.io/Lenny. So let me take this opportunity to zoom out a little bit. We've been talking a lot about personal skills, what you think people need to get better at, what it takes to be successful. I want to talk about at the company level. You two work with a bunch of different companies, you've both worked at a bunch of different companies. When you look at the companies that seem to be doing well in this new AI world, adopting the best practices, seeing productivity gains versus the companies that are just struggling and not getting anywhere and just having a hard time, what do you find is most common across the companies that are succeeding, shifting their culture and the way they work in this world of AI? And I'll throw this to Ezinne first.…

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