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16 results for “revenue milestones”
...Revenue. Yep. Pilot revenue. Is that a good idea?
15:46 / 16:48
from transcript15:46 – 16:48
...revenue growth at six months after monetization and twelve months. So if you're a median enterprise gen AI startup after six months, Jason, of selling your product, you have about 700,000 worth of ARR and at month twelve, two point one. At the top qu
37:26 / 38:33
from transcript37:26 – 38:33
...revenue quality, and and some extent. Like, for us, for example, I don't wanna get too much into the details. Would would take, like, too much time to explain it, but the way we reshaped our model over time, like, from initially moving into a direct
18:43 / 19:45
from transcript18:43 – 19:45
...revenue. Revenue. Yep. Pilot revenue. Is that a good idea? No. That is not a good idea because you two things. You're misrepresenting what your forward looking financials are gonna be because you're it's it's not accurate. You should only I suppose s
16:33 / 17:48
from transcript16:33 – 17:48
...revenue, and you're roughly breakeven on a non GAAP basis, congratulations. The market will give you a roughly 9 to $10,000,000,000 valuation. The thing that I'm kind of curious about is just how much or how many unicorns that are in the market today
41:15 / 42:15
from transcript41:15 – 42:15
...revenue growth compounded annually. And so the r squared here, you can see it's much more scattered, is 0.03. And so from this, we can take away that investors are rewarding companies that can maintain steady growth over a long period of time, and no
15:43 / 16:51
from transcript15:43 – 16:51
...k in revenue. Second to third year, 500 to 1.5, maybe 2, then they get to, like, 6. And then it's harder to get from six to 18, obviously. You know, it's a bigger number. And so maybe they go six to 12 or six to 14 or, you know, even six to 10. Thing
32:13 / 33:16
from transcript32:13 – 33:16
...in revenue run rate. So over a 100 x multiple on revenue. He paid $2.50, as evaluation. I'm sure the benchmark partnership thought that was insane at the time. The at the series b, when Fleeces gave us the term sheet, we were at 20,000,000 in revenue
28:29 / 29:31
from transcript28:29 – 29:31
...its net revenue is far less than half of the then current $100,000,000 figure that they announced. So this yields an interesting question about gross revenue versus net revenue. We talked a lot about people kind of doing fuzzy things with ARR, but I
58:30 / 59:31
from transcript58:30 – 59:31
Here we have the average I've years to IPO hovering around that ten year mark over this fifteen year period. Now the road to IPO may seem quite long, but it's a process that allows companies to mature and build scale so that they're successful many y
6:43 / 7:47
from transcript6:43 – 7:47
...revenue. People are worried that things are being conflated into ARR numbers or that ARR is not going to be actually recurring, that it's gonna dissipate. I'm curious from your portfolios, are you seeing revenue quality issues amongst AI predicated s
56:13 / 57:15
from transcript56:13 – 57:15
is, like, revenue quality really matters. I think, like, there can be mistakes or overrepresentations in reporting that are quite common if you don't have the background of, like, startup accounting, which, like, if you're an engineer or, like, you d
57:45 / 58:45
from transcript57:45 – 58:45
...total revenue from leakage, reducing time to bill by two plus days, and going to market three times faster with a seamless integration into your existing quote cash stack, automatic and error free billing, and the support and expertise you need to mo
56:48 / 58:06
from transcript56:48 – 58:06
...revenue here. You are taking all the future income revenue cash flow. You're collapsing it to a single moment in time. So whatever deals you do in one year, you're starting from zero the next year. You get no future benefit on your income statement f
1:08:14 / 1:09:18
from transcript1:08:14 – 1:09:18
...f y 26 revenues. The stunning thing with this growth rate, if it persists,
4:26 / 5:33
from transcript4:26 – 5:33
...revenue. There's also they pay out their people to do this data labeling. So the revenue numbers there don't really equate. Like, recurring
7:21 / 8:33
from transcript7:21 – 8:33
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