Screensharing Kevin Rose's AI Workflow/New App
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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.
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.
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
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.
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.
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?
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.
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.
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Chapters
8 chapters
1
What does Kevin Rose plan to demo in this episode?
0:00–0:59
2
How does Kevin rank tech stories using Signal?
0:59–1:17
3
What tools does Kevin use for RSS ingestion and article processing?
1:17–1:49
4
What are the advantages of iFramely and Firecrawl in Kevin's workflow?
1:49–1:59
5
How do TLDRs and vector embeddings improve content discovery?
1:59–3:09
6
What is the Gravity Engine and how does it score stories?
3:09–3:41
7
How does Kevin manage product iteration and feature cuts?
3:41–3:58
8
What does success look like for Kevin's projects?
3:58–56:24