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Hi, I'm Eric Newcomer. 
And I am Madeline Rinbarger. 

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And this is the newcomer 
podcast. 

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Each week, Eric and I discuss 
the VC deals and the drama that 

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went down. 
Let's do it. 

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Here we go. 
Let's dive in. 

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Welcome back to the Newcomer 
Podcast. 

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It's our last show of the year, 
Eric. 

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I mean, it's flown by. 
I know. 

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Yeah, it's crazy. 
It's a very busy December for 

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me. 
We've survived our events, but 

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have a very ambitious plan for 
Newcomer next year. 

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And I think as we're going to 
get to on this show, it seems 

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like tech itself might be 
positioned for a better year 

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next year than we expected. 
So we'll definitely be a busy 

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year for us and big slate of 
stuff to talk about in this 

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episode. 
So excited to get into it. 

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Yes, let's jump in. 
I'd say bullish on 2025 if it's 

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anything like this, the last 
couple of weeks of December that

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we've had. 
First. 

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First up off, of course, is 
Servicetitan saw its stock price

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pop during its IPO this week. 
Huge. 

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I feel like we are tech is 
desperate to make a mountain of 

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out of a molehill out of this 
one. 

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I mean, Servicetitan, good 
company, not like a 

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transformational iconic company 
that everybody's heard of, but 

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positive IPO. 
Uh, Servicetitan helped avoid 

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some of a brutal ratchet, 
though. 

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I think the late stage investors
still got a little extra money, 

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but they had a lot of pressure 
to go public, uh, thanks to 

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their deals with late stage 
investors. 

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And thank God they got that 
extra push because they had a 

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successful IPO. 
We saw a pop. 

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I don't know what. 
What's the mood? 

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The mood seems really positive. 
I mean, the shares opened at 

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101. 
They had continually raised the 

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share price ahead of the IPO, 
which was, you know, priced at 

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71, which was a big jump up from
what we first thought it was 

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going to be. 
And, you know, there's been some

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investors in the deal that it's 
just a really big win for them. 

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I think a lot of people were 
really hoping for something like

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this at the end of the year as a
positive signal. 

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Part of what motivated Certos 
Titan to go public at the end of

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the year and not wait a year 
was, you know, this ratchet 

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mechanism. 
What are your thoughts on this? 

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Is this like a good bet going 
forward? 

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Does this work well for 
companies or how do investors, 

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you know, take it? 
I mean ratchets, you know, like 

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a four letter word among VCs 
partially because early stage 

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VCs are the ones getting diluted
potentially by ratchets. 

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I mean I I have two views. 
On the one hand, it's like 

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ratchets are bad when founders 
use them to prop up a high 

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valuation for vanity, right? 
And they would argue that it's, 

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you know, employee recruiting or
that they really believe in the 

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valuation and they don't want to
sacrifice it. 

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But it's dangerous when a 
founder is delusional about what

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their company is worth. 
So they cut a deal that works 

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out well in the upside but 
underestimates the risk and the 

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downside. 
So Servicetitan getting out and 

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doing OK, I guess they they 
correctly calculated. 

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On the other hand, you know, I 
think it's easy to be like, oh, 

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ratchets, you're just chasing a 
high valuation that's not 

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defensible. 
On the other hand, you know, 

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these founders certainly 
understand hopefully the terms. 

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And, you know, often they're 
raising a ratchet when they 

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can't get sort of equity at 
terms they prefer. 

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And so, you know, these are 
sophisticated investors doing 

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deals. 
So I don't have any real moral 

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problem. 
The the big problem I have is 

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just the valuation itself. 
You know, the world, founders, 

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reporters, media, we all love 
valuations. 

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And of course, the more 
complicated math and terms that 

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go into evaluation, the more 
bullshitty they are. 

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So often ratchets are just a 
reminder that we all place too 

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much stock in private 
valuations, and they're flawed 

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measures of how good a company 
is. 

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And that's why ultimately we 
often want these companies to go

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public where there's an ongoing 
market for a company stock and 

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their market cap is more more 
serious than the idea that you 

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can get one person or a couple, 
a small number of firms to 

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invest with complicated terms 
that inflate your valuation. 

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I wanted to highlight my 
favorite tech meme account tweet

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on this whole thing. 
It's from Buku. 

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Is it Buku Capital? 
It's one of my favorite accounts

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like. 
Buku Capital bloke or yeah yeah 

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yeah yeah. 
Long time follower. 

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He has a picture of Stringer 
Bell from The Wire and it says, 

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I want you to put the word out 
there that we back up and he's 

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quote, tweeting Bill Gurley, 
who's, uh, whining about IPOs, 

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leave money on the table and 
everybody should do a direct 

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listing, which is obviously, you
know, Bill Gurley's, uh, hobby 

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horse, you know, his obsession. 
And yeah, I do think there's a 

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truth to it. 
It's like, man, we're really 

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back to normal if Gurley's out 
there making the case for direct

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listings because you only, you 
know are will it you, you don't,

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you don't quibble about the 
small stuff if you're worried 

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about big existential questions 
around whether tech companies 

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can go public at all. 
You're only sort of making the 

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case for direct listings. 
Once IPOs are so good that 

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you're like, Oh well the balance
is is money that you're giving 

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to bankers to give away to their
friends instead of making sure 

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us VCs and founders get get as 
much money. 

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Get a fair share. 
Shares, yeah. 

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Right. 
It seems like it's very much, 

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you know, just if we're, if 
we're in this debate like that's

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the bull signal, right? 
Good, good. 

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Madeline, you you've been sort 
of eyeing the IPO market with 

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Servicetitan doing well. 
What companies does that sort of

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give a potential nudge out the 
door that might have been 

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considering it next year? 
So the big talk of the town is 

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obviously data bricks. 
I've heard kind of mixed signals

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actually on that one. 
Some sources are saying that's a

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lock for 2025. 
Some are saying no, no, no, it's

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2026 because they just had this 
really big capital raise. 

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So that one I think will be 
soon. 

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But they did acquire some 
capital pretty recently that 

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could hold them off for a bit if
they want to. 

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So that may not be one. 
Obviously, people have their 

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eyes on Stripe. 
I think some more interesting 

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ones that I've been hearing 
about, you know, are Chime of 

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Figma maybe again Chime I. 
Believe next year. 

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Yeah, Chime, that seems likely. 
Some people told me canvas. 

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So quite a quite a slate there. 
There's a lot of deca corns kind

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of waiting in the wings. 
So there's a lot to choose from,

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but. 
The problem with data bricks and

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Stripe is what you're touching 
on. 

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Their ability to raise these 
insane private rounds just takes

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off so much pressure. 
I mean, Stripe is doing so well 

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that they can, you know, you 
know, buy shares from their own 

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employees. 
So it's sort of there is a 

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continued sort of perpetual 
private company anyway. 

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We can talk about the psychology
of these big companies staying 

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private all day. 
But I think the point here is 

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clearly there's a lot of hope 
right now that a positive 

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Servicetitan IPO will mean that 
everybody's a little more 

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enthusiastic going into next 
year, which certainly the 

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software world, you know, it's, 
it's been brutal. 

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You know, it's been a good time 
for AI, but the classic sort of 

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software company? 
Much harder. 

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In private markets news, we had 
a massive capital raise this 

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week with Crusoe, friend of the 
pod Chase Lochner, but. 

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Chase, he's run staple at 
Cerebral Valley. 

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Some of our dinners, the 
character, I think one time, 

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yeah, we had somebody bail and 
we had like Chase, I just met 

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Chase and put him on stage in 
Cerebral Valley. 

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I mean, he's a great, very 
charismatic guy. 

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Sort of fun story of like they, 
you know, they got into AI cloud

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compute business from working 
crypto and you know, they're all

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about using sort of captured 
energy. 

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So both the creative business. 
Yeah, the most successful crypto

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to AI pivot of all time maybe. 
But yeah, they they're, they're 

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doing quite well. 
They raised a 600 million series

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round led by Founders Fund, 
notably a fund who really likes 

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to take a big chunk of the 
round, so they delivered on 

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that. 
Fascinating founders fund bet 

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you know, we've said it before, 
but you know a lot of their 

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successful investments have been
these growth stage deals. 

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High conviction with with this 
one at a time when many people 

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think if AI continues to 
accelerate we'll have sky high 

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energy costs and really need to 
build up infrastructure. 

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Yeah, absolutely. 
It seems like also, you know, 

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Founders Fund has a pretty 
prominent position in open AI. 

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So I feel like they're here with
this high conviction bet where 

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they're taking a big chunk of 
this. 

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They're going all in on every 
part of the the stack needed to 

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power the AI future. 
Moving on to our main story, 

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Alphabet had a bunch of wins 
last week. 

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I just am shocked. 
Insane. 

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I mean quantum chips 
announcement was great, so 

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they've made big progress there.
They have the best public 

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company offering in generative 
AI, which they just updated 

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their models. 
And then a sort of unforced 

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error from General Motors 
abandoning Cruise means that 

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Waymo, which already, you know, 
is in the lead, is now sort of 

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uncontested again, except Tesla,
which of course, is, you know, 

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an automaker building their own 
autonomous technology. 

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So if you're an automaker 
without self driving 

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capabilities, it seems like 
Waymo is your only potential 

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partner. 
So yeah, what did I miss? 

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Any Google wins or I mean the 
stock price is up too. 

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Yeah, the price is surging. 
I mean, it's just been an all 

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around great period for them in 
a time when I think a lot of 

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people were really writing them 
off. 

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They had, you know, a lot in the
AI race specifically, and this 

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Gemini News is just really 
promising for them too, I think.

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And I, you know, I thought you 
and Jonathan had the right take 

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in the newsletter, which was 
this has been a company that 

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people are like, oh, they're 
their lunches are too good, you 

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know, they're too soft. 
And and certainly, you know, 

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I've known Google people who 
didn't seem like they were in 

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the office super long hours, 
but. 

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I think about that part in 
Silicon Valley where they're 

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unassigned, you know, at huli, 
right? 

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Like that's the classic Google 
negative stereotype. 

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But, you know, the counter to 
that is that sort of, you know, 

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researchers require a little 
bit, you know, of Slack and time

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to think. 
And, you know, in some ways 

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Google was setting itself up as 
a very researcher friendly 

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company. 
Of course we knew that, you 

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know, the Transformer paper came
out of Google and all those 

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people left. 
And so maybe it's like, OK, 

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they're going to discovering 
things, but then everybody else 

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is going to eat their lunch and 
execute. 

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But now we're starting to see 
some signs that no, with this 

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advanced technology, they're 
still very capable of producing 

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results. 
And so that's made the market 

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and I think Silicon Valley more 
bullish on Sundar, even as what 

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the government's trying to break
them up. 

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So we'll see if you know Google 
as we know it, Alphabet as we 

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know it. 
Still exists, right? 

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Totally. 
I think, I think it's really a 

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story of not counting them out 
at this point. 

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They're bets that they've made 
that are these sort of wonky 

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research bets that seemed like 
long time horizons since we've 

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hit those time horizons that it 
seems like they're paying off 

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and it seems like despite all of
the criticism, they are turning 

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them into products, which is 
pretty impressive. 

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So obviously they have a lot of 
competition, but not really on 

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self driving. 
So I mean. 

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I mean, a super macro theme. 
You know, we talk a lot about 

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venture, but the big public tech
companies keep dominating, you 

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know it. 
I mean, people counted out 

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Facebook Meta for a while and 
that company was a great sort of

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public investment. 
People then counted out 

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Alphabet. 
Now. 

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It's been great public 
investment. 

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Microsoft is obviously crushing 
it. 

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So, man, the tech giants just 
continue to win. 

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And, you know, if in a Trump 
world, it feels like, oh, they 

229
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can do deals again, Yeah, I 
remain pretty bullish on those 

230
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companies. 
And lots, lots of excitement 

231
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that they can just gobble up the
startup winners going forward. 

232
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For sure, definitely. 
You mentioned that Alphabet's 

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work on Quantum was getting the 
startup world excited. 

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How much is the Quantum world 
delivering? 

235
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You know, I wrote about Righetti
many years ago. 

236
00:12:20,240 --> 00:12:23,520
It seems like that's a now 
public company that has 

237
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struggled. 
Or what's your sense of the 

238
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startup world's answer to what 
Alphabet has produced here? 

239
00:12:30,160 --> 00:12:33,640
Yeah, I think it's pretty early.
From my understanding, startup 

240
00:12:33,640 --> 00:12:38,560
funding to Quantum companies, it
spiked this year to 1.7 billion.

241
00:12:38,560 --> 00:12:41,760
According to Pitchbook, there 
were across 73 deals. 

242
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Last year there were 93 deals, 
but there weren't, they weren't 

243
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as capital intensive. 
So the overall funding total was

244
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lower, but it's the highest 
total for funding in a year for 

245
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quantum computing yet in the 
venture market. 

246
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So obviously there's some 
excitement around that. 

247
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I think people are exploring 
different ways we can develop 

248
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compute as we get, you know, 
further into the future. 

249
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That seems really promising. 
But the main thing I get from 

250
00:13:03,400 --> 00:13:05,960
talking to quantum founders, 
even obviously who are very 

251
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bullish on this technology is 
that it's early days. 

252
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The use cases are still kind of 
far. 

253
00:13:11,080 --> 00:13:14,440
So for these sort of moon shot 
bets, as exciting as Alphabet's 

254
00:13:14,440 --> 00:13:16,840
breakthrough is with these 
chips, and it does have, you 

255
00:13:16,840 --> 00:13:20,280
know, a lot of founders equally 
excited and jealous that this 

256
00:13:20,280 --> 00:13:22,800
has happened. 
It's it's still we're still in 

257
00:13:22,800 --> 00:13:24,560
early innings. 
It's not necessarily like we're 

258
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going to see the killer quantum 
use case or product yet, but 

259
00:13:28,360 --> 00:13:32,400
it's very promising right now. 
Very Silicon Valley, always 

260
00:13:32,400 --> 00:13:35,120
early. 
We talk fantasize about the 

261
00:13:35,120 --> 00:13:36,720
technology when it's in early 
innings. 

262
00:13:36,720 --> 00:13:39,600
It'll take take a while, but. 
You got to have the video. 

263
00:13:39,600 --> 00:13:44,640
AI Open AI was once sort of in 
this it's a research project 

264
00:13:44,640 --> 00:13:48,800
period with some exciting ideas.
And now you know, I'm talking to

265
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ChatGPT. 
I'm talking to ChatGPT more and 

266
00:13:50,840 --> 00:13:52,920
more every day. 
What do you talk to ChatGPT 

267
00:13:52,920 --> 00:13:54,960
about Eric? 
I mean, I do too, but yeah. 

268
00:13:55,560 --> 00:13:58,560
I'm trying to use it as like my 
To Do List where it's sort of a 

269
00:13:58,560 --> 00:14:02,120
dynamic To Do List where I 
updated on what I've done. 

270
00:14:02,120 --> 00:14:05,520
And then it's like come back to 
me with what I need to do and 

271
00:14:05,520 --> 00:14:08,040
like cross off things. 
It's, you know, if anything, 

272
00:14:08,040 --> 00:14:11,360
it's smart formatting. 
But it's also nice in that 

273
00:14:11,760 --> 00:14:16,720
ideally it keeps sort of a 
running track record of what I 

274
00:14:16,720 --> 00:14:19,080
need to do. 
And, you know, in some ways I 

275
00:14:19,080 --> 00:14:22,760
think what it delivers honestly,
is it's like very affirming 

276
00:14:22,800 --> 00:14:26,040
relative to, to to list. 
It's it's like, yeah, OK, you 

277
00:14:26,040 --> 00:14:29,320
know, this is you've gotten a 
lot of stuff done today. 

278
00:14:29,360 --> 00:14:30,960
You know, it's good job. 
It's good of being sort of a 

279
00:14:30,960 --> 00:14:33,720
little supportive while keeping 
track of things, doing the 

280
00:14:33,720 --> 00:14:35,960
formatting. 
So it brings a lot of little 

281
00:14:35,960 --> 00:14:39,760
things that a traditional word 
processor doesn't on ChatGPT. 

282
00:14:39,760 --> 00:14:43,720
I actually, like had a long 
conversation with ChatGPT about 

283
00:14:43,720 --> 00:14:47,440
Google's Quantum announcement 
because they claimed that their 

284
00:14:47,440 --> 00:14:51,920
discovery pointed to like 
multiple universes. 

285
00:14:51,920 --> 00:14:55,720
And I, I found that somewhat 
hard to believe or like, at 

286
00:14:55,720 --> 00:14:59,000
first I was enticed, but then I 
was like, really. 

287
00:14:59,080 --> 00:15:02,920
And, and so it honest, honestly,
it was a good way to sort of dig

288
00:15:02,920 --> 00:15:05,920
into quantum mechanics and the 
current research. 

289
00:15:05,920 --> 00:15:09,080
And basically, you know, there 
are people real, you know, 

290
00:15:09,080 --> 00:15:13,960
scientists who think that 
quantum is evidence that there 

291
00:15:13,960 --> 00:15:16,080
are multiple universes and 
perhaps. 

292
00:15:16,080 --> 00:15:18,520
Some people think it really does
prove the multiverse theory, 

293
00:15:18,640 --> 00:15:19,240
yeah. 
Right. 

294
00:15:19,240 --> 00:15:22,480
That it's that the processing is
actually happening in other 

295
00:15:22,480 --> 00:15:24,560
universes. 
Where is there other people who 

296
00:15:24,560 --> 00:15:30,320
think the the the waveforms sort
of contain embedded information 

297
00:15:30,640 --> 00:15:34,560
and just the ability to access 
basically their probability 

298
00:15:34,560 --> 00:15:38,720
computing power is in our time 
just able to get a lot of 

299
00:15:38,720 --> 00:15:42,160
information very efficiently. 
And, and so I came away from my 

300
00:15:42,160 --> 00:15:45,480
discussion with chat GP not 
convinced that anything about 

301
00:15:45,480 --> 00:15:50,800
Google's finding uniquely pushed
us towards multiple universes 

302
00:15:50,840 --> 00:15:55,080
versus just the wave functions 
having embedded information. 

303
00:15:55,080 --> 00:15:58,480
But I'm I'm not the most 
knowledgeable about it. 

304
00:15:58,480 --> 00:16:00,440
I was. 
Going to say beyond GPT, you did

305
00:16:00,440 --> 00:16:04,160
write about quantum back in the 
day a little bit So but yeah, 

306
00:16:04,200 --> 00:16:06,880
your prospect is, you know, 
we're still early days. 

307
00:16:06,880 --> 00:16:07,760
Where? 
Where do you land? 

308
00:16:08,640 --> 00:16:11,680
On the actual business, putting 
aside the deep philosophical 

309
00:16:11,680 --> 00:16:12,840
questions about the. 
Universe. 

310
00:16:12,840 --> 00:16:15,160
Yes, exactly. 
Let's get to the facts. 

311
00:16:15,760 --> 00:16:20,160
It takes too long. 
You know, a lot of things often,

312
00:16:20,240 --> 00:16:22,280
you know, even though Silicon 
Valley doesn't like to say it, 

313
00:16:22,760 --> 00:16:26,160
you'd, you'd like to be like the
second company, you know, once 

314
00:16:26,160 --> 00:16:28,800
it's a sure thing and somebody's
making some money on it. 

315
00:16:29,080 --> 00:16:31,440
Can you fast copy a lot of these
things? 

316
00:16:31,440 --> 00:16:34,720
I mean, like we're, we've sort 
of referenced open AI did not 

317
00:16:34,840 --> 00:16:36,360
come up with the transformer 
paper. 

318
00:16:36,360 --> 00:16:39,360
They were in a good position to 
sort of seize on it. 

319
00:16:39,720 --> 00:16:43,160
And so to some degree, you know,
I, I think if I were building a 

320
00:16:43,160 --> 00:16:47,320
quantum company, I might wait 
another five years and then copy

321
00:16:47,320 --> 00:16:48,880
all the good work that 
everybody's done. 

322
00:16:48,880 --> 00:16:52,520
But, you know, so much of it is,
do I have the right 

323
00:16:52,520 --> 00:16:57,000
sophisticated team at the exact 
moment where the breakthroughs 

324
00:16:57,000 --> 00:17:00,360
are finally becoming 
commercially, commercially 

325
00:17:00,360 --> 00:17:03,320
viable? 
And yeah, I, I guess I don't 

326
00:17:03,320 --> 00:17:06,440
think we're at that moment yet. 
So if I were starting the 

327
00:17:06,440 --> 00:17:09,160
quantum computing startup, I'd 
wait a couple of years and then 

328
00:17:09,520 --> 00:17:11,240
try again once we feel a little 
closer. 

329
00:17:11,240 --> 00:17:14,440
But as I said on the last 
podcast, happy for people to 

330
00:17:14,440 --> 00:17:18,079
burn money trying to build it 
because we want it. 

331
00:17:18,079 --> 00:17:20,960
But yeah. 
You want your investments. 

332
00:17:21,480 --> 00:17:23,720
Shares as an investment. 
Moving on. 

333
00:17:23,720 --> 00:17:26,520
I did want to shout out a couple
honorable mentions this week. 

334
00:17:26,720 --> 00:17:28,520
They weren't our top stories. 
We love we. 

335
00:17:28,520 --> 00:17:31,080
Love upstart venture capital 
firms, so we do not. 

336
00:17:31,080 --> 00:17:32,960
Leave them off. 
The roster we have. 

337
00:17:32,960 --> 00:17:36,920
To mention them two that really 
came out were Laud Ventures 

338
00:17:36,920 --> 00:17:41,960
raised a debut $150 million fund
to back precede and seed stage 

339
00:17:41,960 --> 00:17:46,320
technical startups founded by 
Pete Sonsini, Andy Kowinski, 

340
00:17:46,320 --> 00:17:49,000
who's the Co founder of Data 
Bricks, and Andrew Kriyakov. 

341
00:17:49,640 --> 00:17:52,560
It's a great team. 
Again, an example of emerging 

342
00:17:52,560 --> 00:17:55,520
managers work when you have like
a powerhouse team behind you. 

343
00:17:55,520 --> 00:17:57,600
So clearly this is one of those 
cases. 

344
00:17:57,600 --> 00:18:01,120
But yeah, I'm bullish. 
I feel like one of, you know, a 

345
00:18:01,120 --> 00:18:04,800
premise of newcomer has been 
data bricks is underrated and I,

346
00:18:04,880 --> 00:18:07,840
you know, early on did a bunch 
of scoops and their valuations 

347
00:18:07,840 --> 00:18:12,080
and you know, Ollie Goatsy, the 
CEO has been prominent cerebral 

348
00:18:12,080 --> 00:18:16,200
Valley Cincini, you know, did 
the data bricks investment for 

349
00:18:16,200 --> 00:18:19,720
NEA and was a star over there 
and is now off with his own 

350
00:18:19,720 --> 00:18:22,160
firm. 
So I guess if my data bricks 

351
00:18:22,680 --> 00:18:25,960
bullishness holds, then I'm 
bullish on law adventures. 

352
00:18:25,960 --> 00:18:28,400
So we'll be interesting to see 
what they do the other emerging.

353
00:18:28,400 --> 00:18:31,640
Fund this week that announced a 
dimension big fund. 

354
00:18:31,640 --> 00:18:36,560
Dimension raised an upward 
oversubscribed fund to $500 

355
00:18:36,560 --> 00:18:39,200
million to invest across the 
stages. 

356
00:18:39,200 --> 00:18:41,400
So not just, you know, early 
stage or late stage, they'll do 

357
00:18:41,400 --> 00:18:46,640
it all in tech, bio and AI. 
It's Zavin Dar, Adam Gilburn and

358
00:18:46,640 --> 00:18:52,040
Non Lee also came out of, you 
know, prominent firms were Eric,

359
00:18:52,040 --> 00:18:54,920
you know, you broke dimension 
one on your news on the 

360
00:18:54,920 --> 00:18:58,280
newsletter back in the day and 
they're back at it again with 

361
00:18:58,280 --> 00:18:59,840
even more capital. 
Love those. 

362
00:18:59,840 --> 00:19:04,280
Guys, exciting firm don't claim 
to understand what every company

363
00:19:04,280 --> 00:19:10,080
they invest in does, but 
godspeed, you know interesting. 

364
00:19:10,080 --> 00:19:14,160
You know, ZOV broke off of Lux, 
so did Adam. 

365
00:19:14,160 --> 00:19:15,160
Adam. 
Was at Lux too. 

366
00:19:15,520 --> 00:19:18,000
Oh yeah. 
Adam and Bilal just left. 

367
00:19:18,000 --> 00:19:22,400
So I mean, we're in this moment 
where and I think we're 

368
00:19:22,400 --> 00:19:25,760
agonizing about in our own sort 
of how we're writing about this 

369
00:19:25,760 --> 00:19:27,840
stuff at once. 
It's like the big firms are 

370
00:19:28,240 --> 00:19:33,000
getting more dominant and then 
interesting partners are, you 

371
00:19:33,000 --> 00:19:35,080
know, shaking off. 
And obviously some of those 

372
00:19:35,080 --> 00:19:38,120
interesting partners maybe don't
have the performance, so they're

373
00:19:38,120 --> 00:19:40,200
not surviving the big funds. 
And then other ones are 

374
00:19:40,480 --> 00:19:42,960
superstars and think, well, why 
are my bosses getting the 

375
00:19:42,960 --> 00:19:47,080
management fees I should? 
And so as you know, observers, 

376
00:19:47,080 --> 00:19:50,240
it can be hard sometimes to 
separate one from the other. 

377
00:19:50,240 --> 00:19:53,800
But we're would love you feel 
glad to e-mail us and tell us 

378
00:19:53,800 --> 00:19:55,800
who's who. 
But yeah, but clearly the 

379
00:19:55,800 --> 00:19:58,840
dimension team has one over 
their LP's. 

380
00:19:58,840 --> 00:20:01,160
I think Zav, you know, is in 
runway. 

381
00:20:01,160 --> 00:20:05,240
I know he has another successful
Lux investment under his there 

382
00:20:05,280 --> 00:20:07,960
is in beta. 
Biosciences, yeah, on the 

383
00:20:07,960 --> 00:20:10,840
biotech side as well. 
So they'll they'll cross that 

384
00:20:10,840 --> 00:20:13,120
while there is this sort of 
flight to quality with the mega 

385
00:20:13,120 --> 00:20:16,360
firms and LP capital. 
If you are a star player at one 

386
00:20:16,360 --> 00:20:18,720
of those mega firms and you 
decide to break off the the 

387
00:20:18,800 --> 00:20:20,920
tough market for emerging 
managers does not apply to you. 

388
00:20:20,960 --> 00:20:22,880
If you're in that case, there 
are I'm going to call. 

389
00:20:22,880 --> 00:20:25,480
Bullshit on your term flight to 
quality. 

390
00:20:25,480 --> 00:20:28,560
I feel like we should start 
calling it like flight to 

391
00:20:28,560 --> 00:20:31,400
consensus or flight to cab 
flight. 

392
00:20:31,480 --> 00:20:33,480
To existing capital, yeah, 
quality. 

393
00:20:33,520 --> 00:20:37,160
You know, it's like it's a 
flight to a safe bet that's not 

394
00:20:37,160 --> 00:20:41,480
going to get you fired as an LP 
with you know, but but yeah, the

395
00:20:41,480 --> 00:20:45,520
mega funds, however they're 
doing a flight to. 

396
00:20:45,520 --> 00:20:47,480
Consensus. 
That's a better term for it. 

397
00:20:47,480 --> 00:20:48,520
Yeah. 
Flight to consensus. 

398
00:20:48,520 --> 00:20:49,800
There, that's it. 
I take that one. 

399
00:20:49,800 --> 00:20:51,120
That's good, really exciting 
for. 

400
00:20:51,120 --> 00:20:54,080
Both of these teams and can't 
wait to see what they do in the 

401
00:20:54,080 --> 00:20:55,560
new year. 
Wow covered a lot of. 

402
00:20:55,560 --> 00:21:00,760
Ground we went from. 
I know some ChatGPT IPOs. 

403
00:21:00,800 --> 00:21:03,680
Yeah so new finds. 
This was a lot happening. 

404
00:21:03,920 --> 00:21:05,640
As reporters, you know, we cheer
for news. 

405
00:21:05,640 --> 00:21:09,520
And so it's a, it's a good sign 
that in December, I don't know, 

406
00:21:09,640 --> 00:21:14,480
positive IPOs, Google doing 
well, Yeah, makes me a little 

407
00:21:14,480 --> 00:21:18,280
more optimistic about next year 
than maybe I was a month ago. 

408
00:21:18,400 --> 00:21:19,480
Oh, yeah. 
I put in AI. 

409
00:21:19,480 --> 00:21:21,880
There's an annual discount to 
newcomer right now. 

410
00:21:21,880 --> 00:21:24,080
It's 30% off. 
So maybe, you know, wait. 

411
00:21:24,280 --> 00:21:26,080
Oh. 
My gosh, what a fantastic 

412
00:21:26,080 --> 00:21:29,840
holiday gift. 
Wow, what a loyal employee. 

413
00:21:29,840 --> 00:21:32,120
Yeah, better than what? 
Better than. 

414
00:21:32,160 --> 00:21:37,280
Could you do then? 
Pay, make, you know, make our 

415
00:21:37,280 --> 00:21:40,280
business possible, you know, but
seriously, you know, we, we 

416
00:21:40,280 --> 00:21:42,640
appreciate everyone who 
subscribes. 

417
00:21:42,640 --> 00:21:44,800
It's a good moment to jump on 
board. 

418
00:21:45,360 --> 00:21:48,800
And then also, I'd say, you 
know, you can always e-mail, uh,

419
00:21:48,800 --> 00:21:52,600
Madeline and I, you know, our 
first names at newcomer.co. 

420
00:21:53,200 --> 00:21:56,600
Always open to topics and 
thoughts. 

421
00:21:56,600 --> 00:21:59,920
Just reminder that we do our 
best when you all weigh in. 

422
00:21:59,920 --> 00:22:03,120
And so I don't want this podcast
to be 1 directional. 

423
00:22:03,120 --> 00:22:07,920
And so feel free definitely. 
And I need to do a post, maybe 

424
00:22:07,920 --> 00:22:09,720
the podcast. 
I can always preview the posts I

425
00:22:09,720 --> 00:22:12,200
should be writing like default 
off the record. 

426
00:22:12,200 --> 00:22:14,680
Or it's like, I think people get
worried that if they send us our

427
00:22:14,680 --> 00:22:17,320
thoughts, we're going to like 
trick them and put it on the 

428
00:22:17,320 --> 00:22:19,440
record. 
Definitely not. 

429
00:22:19,840 --> 00:22:22,160
You know, I when we're 
publishing people, they they 

430
00:22:22,160 --> 00:22:25,200
know about it and we want 
information more than we want 

431
00:22:25,200 --> 00:22:28,880
you to be nervous that we're 
going to trick you to put your 

432
00:22:28,880 --> 00:22:31,880
emails to us on the record. 
So definitely reach out with the

433
00:22:31,880 --> 00:22:35,600
comfort that we won't spill the 
beans and on that. 

434
00:22:35,600 --> 00:22:37,960
Note send us your scoops in the 
new year. 

435
00:22:38,080 --> 00:22:40,800
Thanks so much. 
All right, Thank you. 

436
00:22:40,960 --> 00:22:41,920
Have a happy holidays.
