

And the way we try to frame it, the way we frame it, today is what we’re looking to achieve is we’re looking to cut down the amount of time that people spend controlling their computer in relation to the time they spent expressing their intent.Īnd I can kind of illuminate that with, with a quick example. What we had to do is we had to connect the cloud applications that people use on a day to day basis.Īnd so, you know, after call it, two years of prototyping, building the team and actually building the product, we find ourselves at a point where we can kind of see clearly what we’re trying to achieve with Slapdash. And as we started to sort of understand what it means to build something like this outside of Facebook, it was very clear.

So, this notion of having an integrated information space for work was really compelling. If I wanted to answer a question about a colleague, it was also search away.

So, if I had a question about what does a company know about a certain customer, it was one search away. So, effectively, you know, what, what happened was, as soon as I left Facebook, I was interested in sort of building tooling and immediately I ran into effectively, this notion that I’m missing something.Īnd what made Facebook’s internal stack so special is it was really focused on integrating the whole information space. And one of the unique parts about working for a company like that is there’s a dedicated team of about a hundred engineers that’s focused on building productivity tools for the rest of the company.Īnd so, once you kind of get acclimated to using these pretty unique tools when you leave Facebook it feels like you’re missing something. So Slapdash, yeah, kind of the genesis of it came from working at a big company like Facebook, which is where I was before I left to start Slapdash. I know we like to dig into the tech, but with just have a quick story on where the idea of Slapdash came from and, kind of the journey you’ve been on and where you’re at today as a company. Thank you.Įric Dodds: I’d love to start out with, just the quick story. So, let’s dive in and talk with Ivan and Lester.Įric Dodds: Lester and Ivan. And I’m also going to ask them, if we have time, how in the world they made searching Google drive files faster and better than Google did because that’s a pretty amazing task. So, I’m very excited to see what Ivan has to say about the product and how they approach, the development of Slapdash.Įric Dodds: I agree. So, it will be very interesting to see what kind of abstractions they manage to, to put there in place and not to be able to interact with all these different data and different services and create a very unified and smooth experience for the customer at the end. So, and I understand that the reason that they chose, these, terms of course, because it makes it easier for people to understand the scope of the product.īut I think that we are going to have a very interesting discussion about also how they manage to build a very, very complex system because interacting with all these different cloud applications and creating an open and extended platform is something extremely complex. So, for abstraction, how you abstract, if you think about it, like the hardware and the actual silicone and make it available, like two people, two at the end go there and just browse your file system and see a picture. They are extremely complex pieces of software. You know, Eric like, operating systems, they have two important characteristics. It’s something that resonates a lot with me. Kostas Paradis: Yeah, I think the, just the use of the word operating system. Kostas, what are you, what are you interested in from an engineering perspective specifically? So, I’m excited to ask them how they manage those two different categories of data. And then the other is that there are a bunch of jobs running because there are tons of integrations.

One is the user data that represents user actions. I think one of the things that I’m interested in is, kind of like IFTTT, when we talked with them there were different categories of data in the product. Kostas and I’ve actually been using it, for the past couple of months.Īnd we had so many interesting questions about how it worked, that we reached out to the founders and asked if they would join us and let us ask them all the questions. If you’ve ever used a tool like Alfred or sort of automated workflows on your desktop from the command line, this will be really an interesting product for you. Slapdash says that they are building the operating system for work. Today, we have a fascinating couple of guests for you. Eric Dodds: Welcome back to The Data Stack Show here with Eric Dodds and Kostas Pardalis.
