Neil Patel

You work your way up to them. So there's a person who worked for your competitors who was great at growing them from zero to a million or two million in revenue or even five million. There was another person who's great at growing them from five to 10 and another person from 10 to 100, another person from 100 to a billion.

Go find the people in different roles that helped them throughout different stages and get them for that stage that you're in. The people at the earlier stages are much more affordable. Sometimes they're going to be expensive, but you can compensate them through equity or you can raise money. There's many ways to convince people.

Go find the people in different roles that helped them throughout different stages and get them for that stage that you're in. The people at the earlier stages are much more affordable. Sometimes they're going to be expensive, but you can compensate them through equity or you can raise money. There's many ways to convince people.

We provide anything when it comes to digital marketing and we teach people how to just get more traffic and grow faster. Our ad agency, NP Digital, just does it for companies on a global scale. But if you want free advice, you know, neilpatel.com. All my social handles are Neil Patel and teach marketing every single day. Or if you just want us to do it for you, check out NP Digital.

We provide anything when it comes to digital marketing and we teach people how to just get more traffic and grow faster. Our ad agency, NP Digital, just does it for companies on a global scale. But if you want free advice, you know, neilpatel.com. All my social handles are Neil Patel and teach marketing every single day. Or if you just want us to do it for you, check out NP Digital.

Thank you. Thanks for having me.

Thank you. Thanks for having me.

The data store we were building was very novel in architecture. And at the time, we felt like as long as we did these three things, we would have it done within a certain number of months, basically. And we were trying to go for the ingest will be brand new and we'll do it like this. Storage will only use object storage. Queries will only use serverless.

The data store we were building was very novel in architecture. And at the time, we felt like as long as we did these three things, we would have it done within a certain number of months, basically. And we were trying to go for the ingest will be brand new and we'll do it like this. Storage will only use object storage. Queries will only use serverless.

The data store we were building was very novel in architecture. And at the time, we felt like as long as we did these three things, we would have it done within a certain number of months, basically. And we were trying to go for the ingest will be brand new and we'll do it like this. Storage will only use object storage. Queries will only use serverless.

And exactly how you'd expect engineers to behave, we were like, and we'll get it done within six months, right? Or eight months or whatever it was. The reality, though, was that for the API and the front-end side, we just ate the tech debt and we just repurposed it to make it work in that timeframe. I'm Neil Jagdish Patel, and I'm the co-founder and CEO of Axiom.

And exactly how you'd expect engineers to behave, we were like, and we'll get it done within six months, right? Or eight months or whatever it was. The reality, though, was that for the API and the front-end side, we just ate the tech debt and we just repurposed it to make it work in that timeframe. I'm Neil Jagdish Patel, and I'm the co-founder and CEO of Axiom.

And exactly how you'd expect engineers to behave, we were like, and we'll get it done within six months, right? Or eight months or whatever it was. The reality, though, was that for the API and the front-end side, we just ate the tech debt and we just repurposed it to make it work in that timeframe. I'm Neil Jagdish Patel, and I'm the co-founder and CEO of Axiom.

Axiom is a event store essentially and when you have logs or trace events if you have events being generated from products or your services things like that and what it does is it takes it all in gets it stored for you and makes it immediately queryable however you want and so you may be making charts and analytics you may be just looking at that data raw or you may want to do something with that and you know export it somewhere else and

Axiom is a event store essentially and when you have logs or trace events if you have events being generated from products or your services things like that and what it does is it takes it all in gets it stored for you and makes it immediately queryable however you want and so you may be making charts and analytics you may be just looking at that data raw or you may want to do something with that and you know export it somewhere else and

Axiom is a event store essentially and when you have logs or trace events if you have events being generated from products or your services things like that and what it does is it takes it all in gets it stored for you and makes it immediately queryable however you want and so you may be making charts and analytics you may be just looking at that data raw or you may want to do something with that and you know export it somewhere else and

So essentially what we've been doing is building out the data store, which is brand new and it's something we built ourselves. And the whole idea is that so much of an organization's data is actually held in events. And those are the things that are happening with a timestamp.

So essentially what we've been doing is building out the data store, which is brand new and it's something we built ourselves. And the whole idea is that so much of an organization's data is actually held in events. And those are the things that are happening with a timestamp.

So essentially what we've been doing is building out the data store, which is brand new and it's something we built ourselves. And the whole idea is that so much of an organization's data is actually held in events. And those are the things that are happening with a timestamp.

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.