Cube, every mention

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Latent Space 27A Product Market Fit Show 2

every year every show Latent Space 27 A Product Market Fit Show 2

Verbatim, from the transcripts: passages where Cube comes up on Latent Space, A Product Market Fit Show

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It took him 4 years to launch—then he hit $1M ARR in 30 days. | Siqi Chen, Founder of Runway · PMF Show Jan 5, 2026 · 2 mentions

  • ▶ 29:03 Siqi Chen Yeah, so people were using things like Anaplan, Adaptive Insights, Planful, Cube, Data Rails, started around a few years before that, Vena, and so these are tools that either would bring data into your spreadsheet, or will replace your… 2 times in the scene

Powering your Copilot for Data - with Artem Keydunov from Cube.dev Oct 27, 2023 · 27 mentions

  • ▶ 0:17 Alessio Fanelli And today we have Artem Kidunov on the podcast, co-founder of Cube. 5 times in the scene
  • ▶ 6:25 Alessio Fanelli And then that became cube, um, which was started just as an open source project. 7 times in the scene
  • ▶ 10:31 Artem Keydunov oh my God, people are now building StatsBot with Q. 2 times in the scene
  • ▶ 17:07 Artem Keydunov I think the way I think about it is that, at the end of the day, semantic layer is a code base, and in Qubit's essentially a code base, right? 2 times in the scene
  • ▶ 20:24 Artem Keydunov So they essentially connect into cube semantic layer, and then offering their, like, chatbot, so you can do it in a web, in a Slack, so it can, you know, like, answer questions based on data in your semantic layer. 4 times in the scene
  • ▶ 24:04 Alessio Fanelli So people also use Hube for kind of like analytics in their product, like a dashboards and things like that. 4 times in the scene
  • ▶ 30:26 Alessio Fanelli Um, and I think like now, at least with the, with these models, they have some knowledge of their own and they can also tell you if your data is bad, you know, which I think is like something that before you didn't, you didn't have any… 2 times in the scene
  • ▶ 37:15 Artem Keydunov That's why at Cube we excited more about our internal kind of BI use case, or like a company's building, you know, like a chatbots for their internal data consumption, or like internal workflows.
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