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13 results for “nascent industries”
And in this software cycle, incumbents are also adding AI as well. So what can the startup do? One of the most powerful and underrated ways for startups to win distribution is actually to serve companies at formation or greenfield companies. The batt
15:34 / 16:49
from transcript15:34 – 16:49
or Speedrun or Entrepreneur First offer a perfect opportunity for that. Mercury, for instance, works with 50% of every single YC batch and then grows with those companies over time. Every single new startup still needs a CRM. Every single new startup
17:13 / 18:35
from transcript17:13 – 18:35
viable options of this next generation of AI first software built by entrepreneurs who deeply understand your industry, are deeply technical, and have entirely re architected your platforms to one, enable you to scale, and two, be incredibly flexible
8:58 / 10:02
from transcript8:58 – 10:02
and less so from, you know, traditional product sales because everyone in the industry is still we're still doing r and d even though we can we can sell prototype machines. And those prototype machines actually have an average selling price that is q
14:58 / 16:14
from transcript14:58 – 16:14
you don't need I mean, again, we're, like, the one person, one employee unicorn and all the stuff that we're all talking about. Like, I think you can build somebody with tomorrow. Anytime an entrepreneur comes in actually, this happened the other day
35:50 / 37:00
from transcript35:50 – 37:00
either can't or there's no obvious incumbent to even do that thing. Because, again, you're taking maybe, like, services and turning them into AI labor, and there was no software incumbent previously to even attempt to do that. And then you have incum
39:34 / 41:00
from transcript39:34 – 41:00
You know, competition is always a risk. We could see that OpenAI, Anthropic identified different verticals where their models were finding the most success and efficacy, really landing with cogeneration as a key use case, and it was kind of predicted
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from transcript33:44 – 34:45
...of industries to be disrupted. The area that I that I'm particularly interested in right now is, you know, what is gonna be the next wave of consumer AI companies? It still feels like that is an underbaked
17:22 / 18:24
from transcript17:22 – 18:24
So some people draw an analogy between the current enthusiastic cycle for AI and the early two thousands period where we had a lot of enthusiasm for Internet companies and telecoms and things like that. Do you see evidence of froth out there, or is i
47:15 / 48:27
from transcript47:15 – 48:27
these foundation model, companies. Of course, the valuations, you know, they sound astronomical when you think about current revenue, the numbers. You know, there's there's sort of I would one, I would say that's the market out there because they are
46:30 / 47:38
from transcript46:30 – 47:38
And I probably missed one or two in there, right, in the past many years. And the very interesting thing about these waves, it's actually very natural. What you get is you get a Cambrian explosion of these startups. You get these boom bust cycles. An
8:13 / 9:22
from transcript8:13 – 9:22
well well, we'll miss them and they're nice people. The people now that are focused on it are, like, these are the people, like, who really wanna be here in the long term. Like, they deeply believe in the mission. And, you know, they're they're they'
38:16 / 39:18
from transcript38:16 – 39:18
you know, they call the the kind of middle and back office the the federation. You know, again, these were were folks living in Excel largely, not using Excel as a modeling tool, but using Excel to track work. And so there's just such opportunity to
41:12 / 42:17
from transcript41:12 – 42:17
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