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Chapter 1: What does Kevin Rose plan to demo in this episode?
Today's episode
super super fascinating kevin is just one of those iconic entrepreneurs and to have an inside look into his ai workflow and how he's building products in this ai age is absolutely fascinating it got my creative juices flowing i think it will get yours too and if you stick around to the end of the episode you will understand how to build products in the ai age how to think about it and what tools to be using enjoy the episode
We got the one and only Kevin Rose on the podcast.
Chapter 2: How does Kevin rank tech stories using Signal?
I'm super excited to have him. He has been going down the AI rabbit hole for a while now. I wanted Kevin to come on just to share what are the tools he's using, some of the AI workflows that he has, and he's just going to screen share.
Chapter 3: What tools does Kevin use for RSS ingestion and article processing?
Kevin, by the end of this episode, what do you think people are going to get out of it? If they stick around.
First, thanks for having me on. I love the content and everything you're producing. It's so important right now, especially with things moving so fast. But I think at the end of it, you will see that things that are technically out of bounds for you, like things that you just think that you cannot do, are very much possible as a solo engineer, solo designer.
And now we're finally at the point where
Chapter 4: What are the advantages of iFramely and Firecrawl in Kevin's workflow?
I'm not even calling it slop anymore. They call the AI slop or whatever it may be or however you want to look at the code. It's damn good and it's getting better by the week.
Chapter 5: How do TLDRs and vector embeddings improve content discovery?
I hope that you'll be inspired to go build something amazing because I'm going to show you something that is a little mad science-y, weird and all over the place and you'll get to see a raw version of my brain and how deep I go on some of this stuff. But
I think that's the beauty of it is this idea that we can go build anything and oftentimes when we do, it ends up being a little bit of a, I don't know, a sandbox that can be a little too big and messy and then you have to refine it back to something that's actually usable. So I think that the future engineer and the future developer and the future product builder here is,
it's not going to be what you build as much as what you don't build, if that kind of makes sense. Because it's going to be so easy to build anything and everything, to pare it back to something that's really usable, I think is going to be a real skill.
Yeah, the hard part is the clarity. How do you get the clarity to know what to build? At least that's what I've been struggling with.
Yeah, and that actually rolls right into the project that I've been working on just for fun. Yeah, so I'm excited.
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Chapter 6: What is the Gravity Engine and how does it score stories?
All right, let's get into it.
Okay, so I'll show you kind of this quote-unquote vibe-coded or let's just call it coded project, and I'll tell you the inspiration, and then we'll get into some of the kind of dirty details and how it functions and what's possible as someone that kind of walked into this thinking, actually just asking myself, can I pull this off? So let me go ahead and do a little screen share here.
All right, you should be able to see Tech Meme up there, right?
Chapter 7: How does Kevin manage product iteration and feature cuts?
Yep. Okay, awesome. So... First thing, and I hope we don't, in the edit, this has to make it in. I have nothing but a huge amount of respect for Gabe and what he's created in TechMeme. What I'm building today is not meant to be a competitor.
Chapter 8: What does success look like for Kevin's projects?
I don't plan on launching it in its form. It was mainly a personal curiosity of can I build something that's on par or better than TechMeme by myself and call it like a week and see what that would look like. And one of the nice things about TechMeme is, for those that don't know or for those that are lightly familiar with it, it's been around for a long time.
Gabe's been building software since I was back in 2004, which is crazy. We were both kind of experimenting in early social news and what that meant. And what you see here is an aggregator that pulls from RSS and other sources. I don't know all the sources that he pulls from, but then also pulls from social media as well. And when you gather...
whether it be multiple news stories coming in or multiple people tweeting about something or talking about it socially, that is considered signal, and then that is considered used as part of ranking and showing you what's prominent here. And so what... What you're seeing is actually visually the higher an object is here, the more weight it carries with a user.
Because if you come in here and you scroll down the bottom and you see something with very little tweets on it, it doesn't nearly carry as much impact as something with 15 or 20 different X posts underneath it. I like what he's doing here. I think it's a really cool way to say, maybe you might recognize some names, especially in tech, given how small the ecosystem is.
You can probably look through this list and say, oh, I know these two or three people. They're talking about it. What are they saying? And might I just hover over and see what their comment was about a particular story? So a lot to love here. I mean, Gabe's done a great job at creating this, but I have a slightly different area of interest. A lot of this is big tech news.
And I kind of wanted to dive into like more of what's going on in AI because AI is moving just so fast. You know, how can I slice this in really interesting ways to find my version of this? And this is stuff that we're playing around with at Dig with the reboot as well. So it kind of goes hand in hand with some of the kind of exploration that we're doing in a lot of these different areas. And so-
My job these days with Alexis Ohanian at Digg is we have Justin as the CEO who runs the day-to-day and builds out the Reddit competitor version of Digg. And then we have me that I'm kind of more in the labs area where I'm pushing on the edges of ideas and saying, what might we do? And does any of this make sense to roll back into the main product?
And then Alexis is kind of just overarching, great ideas, so much depth of knowledge around both micro and macro communities and how they work and how they scale and what to do and not do and some of the missing tools. And that's kind of how it all comes together. So long story short, This is what I built.
So first thing I want to show you is that there's going to be some errors here because it's been a minute since I have actually touched this code base. But what you see here is I have 63 sources of information coming in. And so these are from just your classic RSS feeds. Yes, RSS still does exist. A lot of sites do break RSS, and so there are actually ways to go and add in...
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