Zoltan Perestaki
๐ค SpeakerAppearances Over Time
Podcast Appearances
Yeah.
Okay.
So yeah, as you said, software development analytics, basically we analyze Git repository changes and we created a dashboard where you can better understand as a developer, what, how your contribution changes over time.
And if you're managing a bunch of developers, then actually you can get a
better picture of who's doing what, how is the performance changing and what are the opportunities for you to optimize and increase your productivity?
Yes.
So it's obviously lines of code is not a good metric to measure productivity of developers.
So we've actually taken it a step further and we're looking at what those lines of codes are actually doing.
So we try to take into account the language it's written in and the functions that are included.
So basically you look at what functions are being produced by which developers or which teams and how can you further optimize your output.
You also asked about our business model.
So yeah, right now we're kind of a pure SaaS play.
But the more we understand about the market, actually, the more we see that there is a serious need for an on-prem
um, version.
So, you know, we're, we're actually moving towards that direction because the more developers you have, usually the less likely you are to be comfortable with, you know, sharing your, your source code and, you know, keeping it in the cloud is, I was surprised actually to learn this, but it's still, it's still not a common practice.
So our pricing model is based per developer, per contributing developer per month in the repositories.
And pricing starts from $20 and goes down if you have bigger volumes or if you're willing to commit.
So $20 is the monthly contribution that we're asking.
Obviously, if you think about how much value a developer adds to your organization or to your product per month,
We believe that this is still peanuts as compared to, you know, only if we can add like 1% or 2% in productivity, which is, you know, which would be a very low benchmark to measure against.