Neil Patel

And they actually bring up the history of what you do, whether it's a service doing it, whether it's a person doing it, etc. And so what Axiom does is allow you to store all of that for a really long time and then bring value out of that, whether it's for log analysis, tracing, whether it's for product analytics or anything related like that.

And they actually bring up the history of what you do, whether it's a service doing it, whether it's a person doing it, etc. And so what Axiom does is allow you to store all of that for a really long time and then bring value out of that, whether it's for log analysis, tracing, whether it's for product analytics or anything related like that.

We actually started off with less on the data store side and more on the side of trying to build out more of like event tooling. So the connectivity piece around how do you make sense of all this data that's caught up in silos. So at the time, the data stores would allow you to have about 15 days, 30 days of data before it started getting really expensive, etc.,

We actually started off with less on the data store side and more on the side of trying to build out more of like event tooling. So the connectivity piece around how do you make sense of all this data that's caught up in silos. So at the time, the data stores would allow you to have about 15 days, 30 days of data before it started getting really expensive, etc.,

We actually started off with less on the data store side and more on the side of trying to build out more of like event tooling. So the connectivity piece around how do you make sense of all this data that's caught up in silos. So at the time, the data stores would allow you to have about 15 days, 30 days of data before it started getting really expensive, etc.,

And we were thinking and working on if companies want to do something with this, how do they build out event systems on top or have reactive states on top and things like that.

And we were thinking and working on if companies want to do something with this, how do they build out event systems on top or have reactive states on top and things like that.

And we were thinking and working on if companies want to do something with this, how do they build out event systems on top or have reactive states on top and things like that.

And actually, after diving into that for a while, what we realized was no matter what we did on the top of an event store, if you can't actually store all of your events, you couldn't get to the value of that we thought we would provide on top. Axiom essentially evolved from trying to do the product side of it down to first trying to solve the data store side.

And actually, after diving into that for a while, what we realized was no matter what we did on the top of an event store, if you can't actually store all of your events, you couldn't get to the value of that we thought we would provide on top. Axiom essentially evolved from trying to do the product side of it down to first trying to solve the data store side.

And actually, after diving into that for a while, what we realized was no matter what we did on the top of an event store, if you can't actually store all of your events, you couldn't get to the value of that we thought we would provide on top. Axiom essentially evolved from trying to do the product side of it down to first trying to solve the data store side.

And now we're coming back up to the product side, essentially.

And now we're coming back up to the product side, essentially.

And now we're coming back up to the product side, essentially.

We created the first MVP of this kind of system that you could run a shell script. It would install into your AWS and then bang, you had this kind of interface. You could query logs and metrics. You could do things with it in terms of attach their state to something else happening. And it was all very shaky.

We created the first MVP of this kind of system that you could run a shell script. It would install into your AWS and then bang, you had this kind of interface. You could query logs and metrics. You could do things with it in terms of attach their state to something else happening. And it was all very shaky.

We created the first MVP of this kind of system that you could run a shell script. It would install into your AWS and then bang, you had this kind of interface. You could query logs and metrics. You could do things with it in terms of attach their state to something else happening. And it was all very shaky.

And one of the problems we kept having was in trying to get the MVP out, we had to have a hard dependency on some kind of data store being available. So if we're encouraging people to send us data so we could make sense of it, you need to put it somewhere.

And one of the problems we kept having was in trying to get the MVP out, we had to have a hard dependency on some kind of data store being available. So if we're encouraging people to send us data so we could make sense of it, you need to put it somewhere.

And one of the problems we kept having was in trying to get the MVP out, we had to have a hard dependency on some kind of data store being available. So if we're encouraging people to send us data so we could make sense of it, you need to put it somewhere.