Anupreet Singh Lamba
๐ค SpeakerAppearances Over Time
Podcast Appearances
So right now is when we started hitting 500.
We've been doing like almost 2x every quarter, if I may put it that way.
Last year we grew 5x.
So last quarter was not as big as this quarter.
And, you know, very, very excited about that space at large.
You know, the way all of us have grown in the last two, three years, it's amazing.
So, you know, Nathan, what we do is that we have algorithm that goes out in the web.
We try to understand digital signatures that technologies leave when someone is using them.
By which I mean, you know, there are different places in which a particular technology would leave additional footprint.
Like, for example, Salesforce gives you a dedicated login URL, which would have your company name dot my dot salesforce dot com, which means that each of the customer of Salesforce will have a dedicated login URL.
We have means to understand which URLs have been dedicated to which companies out there.
Similarly, some companies would ask you to install a JavaScript in their HTML source code or in the JavaScript of their front end of the website.
And we would have means to identify which companies have a mention of that JavaScript that has been given by that technology.
And then there are a lot of technologies that leave a footprint behind the firewall.
By which I mean, for example, mainframes.
It's a very, very old programming language.
But the digital footprint could be in the job description wherein, say, a company that is using mainframe might mention in the job description that, hey, we need experience working with COBOL and GCL and DB2, all the mainframe technologies.
And that gives us an indication that, hey, this company is on mainframes today.
So we go to around 12 to 15 different sources, and the number of sources is the trick, and the frequency at which we refresh our digital signatures and the frequency at which we go out on the web and get this information together is the trick, which is helping us.
So Bambora follows a very different way to identify intent.