Hey HN! I’m Miles, co-founder of Splitgraph along with Artjoms (mildbyte). We met back in 2018, when I reached out to him after reading his blog on HN and real

Hey HN! I’m Miles, co-founder of Splitgraph along with Artjoms (mildbyte). We met back in 2018, when I reached out to him after reading his blog on HN and realizing we lived right next to each other. Neither of us had a “real job,“ and we both wanted to build something truly innovative and cool. We tossed around a few ideas, but ultimately we couldn’t resist the idea of building “GitHub for data,” which seemed like an obvious gap in the market. After nearly two years of development, we are finally ready — and extremely excited — to share it with the world. We are not the first to notice this gap or try to build this product. So we wanted to make sure we did it right. We made sure to start from “first principles” and really analyze the problem space. We ended up realizing that it’s not strictly Git or GitHub that people want “for data.” Rather, people just want to be able to work with data as easily as they can work with code. They want to experiment, build and maintain data without needless overhead. Tools like Git and Docker are ubiquitous in any software engineer’s workflow, and we took a lot of inspiration from them when designing Splitgraph. We thought about why people like and use these tools, and tried to translate their benefits to the domain of data science. Our core philosophy is to stay out of the way, and work with existing abstractions instead of introducing new ones. You can version your code with Git without switching filesystems. You can build Docker images without changing your code to work in Docker. Our goal with Splitgraph is to provide an easy path to incremental adoption, so you can introduce it into your existing workflows where and when it makes sense. Splitgraph is powered by Postgres, and provides an easy way to build and share versioned datasets, along with a whole bunch of other benefits. We encourage you to read the landing page which (hopefully) explains it well. The documentation goes into much more detail, and if you have ten minutes and Docker installed, you can try Splitgraph for yourself. [0] If you work with data, we really hope you’ll give Splitgraph a try. We’re here to answer any questions, and we’ve also created a Discord server [1] to hopefully build a bit of a community around Splitgraph. [0] https://www.splitgraph.com/docs/getting-started/five-minute-demo https://www.splitgraph.com/docs/getting-started/five-minute-... [1] https://discord.gg/eFEFRKm https://discord.gg/eFEFRKm