Kyle Corbitt
speaker
658 appearances
1 recordings
1 series
first heard Oct 2025
last heard 16 Oct
Kyle Corbitt’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Oct 2025 with 1.
Appearances
I mean, this was even late twenty twenty three, there weren't very many people in production, but anyone who did have production workflows, it was extremely painful.
People, like, you know, they're paying hundreds of thousands of dollars a month to open AI.
So it was very easy to convince them to try this out.
And so we got our first three customers after launching, probably within a month, and we were doing significant revenue.
Um, over the next six months, we actually got to a million in ARR over about an eight-month period following that launch.
So by the latter part of 2024.
So actually, yes, initial traction was was super strong, um, very clear value prop.
Um, but then
As you were alluding to, kind of like there was just this slow march of like the Frontier model token prices just dropping over and over by three, five X over and over again, which kind of ate away our value prop over time.
But you know
The pain point, I guess, repeating what I said before, was the price was too high on the closed models, but you couldn't just drop in an open model and replace them, because like you're saying, the quality was quite bad, especially as you're moving to smaller model sizes, but larger models, open models weren't even available at that time.
So so that's kind of where the value prop was was like, hey, the closed models are too expensive, at least the ones that are performant enough to do the job.
The open ones are not good enough.
We have like a very clear managed flow.
Um the way the flow worked was was quite simple.
Simple, you simply put in our SDK.
It's a drop in replacement for the OpenAI SDK.
It's capturing you continue to use GPD four in production for a period of time.
We're capturing the requests and responses.
And then we had just a a very clean managed flow where it's like, okay, at some point you say, Hey, I want to distill this down and you you train on that.
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