Shawn Wang: belief

Transcript context

…We built a Cube at Statsbot because we needed it. It was like, the whole Statsbot stack was that we first tried to translate the initial sort of language query into some sort of multidimensional query. It's like we were trying to understand, okay, people wanted to get active opportunities, right? What does it mean? Is it a metric? Is it what a dimension here? Because usually in analytics, you always, you know, like, try to reduce everything down to the sort of, you know, like a multidimensional framework. So that was the first step. And that's where, you know, like it didn't really work well because all this limitation of us not having foundational technologies. But then from the multidimensional query, we wanted to go to SQL. And that's what was SemanticLayer and what was Cube essentially. So we built a framework where you would be able to map your data into this concept, into this metrics. Because when people were coming to Statsbot, they were bringing their own datasets, right? And the big question was, how do we tell the system what is active opportunities for that specific users? How we kind of, you know, like provide that context, how we do the training. So that's why we came up with the idea of building the SemanticLayer so people can actually define their metrics and then kind of use them as a Statsbot. So that's how we built a Cube. At some point, we saw people started to see more value in the Cube itself, you know, like kind of building the SemanticLayer and then using it to power different types of the application. So in 2019, we decided, okay, it feels like it might be a standalone product and a lot of people want to use it. Let's just try to open source it. So we took it out of Statsbot and open-sourced. Can I make sure that everyone has the same foundational knowledge? The concept of a cube is not something that you invented. I think, you know, not everyone has the same background in analytics and data that all three of us do. Maybe you want to explain like OLAP Cube, HyperCube, the brief history of cubes. Right. I'll try, you know, like a lot of like Wikipedia pages and like a lot of like a blog post trying to go into academics of it. So I'm trying to like...…

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