I don't get excited about web software terribly often. There was that time someone ported Zork to a web browser. That was cool.
But this is the first time I took part in a deep development process for a web tool that isn't just useful, but it makes something extremely complex — knowledge graphs — super easy and elegant to use.
Today, we launched KgBase, our no-code knowledge graph tool. For 24 hours, we've opened up the waitlist for direct signups for those of you reading this. At midnight tonight, we'll go back to a waitlist format for free accounts.
We also launched KgBase over at ProductHunt, where we hope other data nerds like ourselves will find it as useful as we have. Take a look there if you are so inclined.
But first, what's a knowledge graph? It's a visualization of a knowledge base. A knowledge base is intended to be thought of differently than a database. While it's a collection of structured and unstructured information just like a database, a knowledge base is meant to represent facts — both qualitative and quantitative — about the objects it describes, allowing users or machines to make inferences about those facts in order to deduce new facts. They show relationships between objects, the nature of those relationships, and what those relationships may mean.
In other words, they tell us a lot about the world that a database on its own cannot. And when you visualize a knowledge base, you get a knowledge graph. We at Thinknum Media have used them to do everything from understanding the depth of Softbank Vision Fund relationships, to the dynamic web of Tiger Cub investors, to the 2017 Houston Astros diaspora.
They look like this:
And this:
And this:
As you can see, knowledge graphs are extremely powerful. But they can be difficult to create. That's why I'm so excited about KgBase. It takes something mind-numbingly difficult and makes it easy, and if I dare say, fun, to create. Give it a spin, and check it out on ProductHunt, won't you?
