This Week in Startups - Hacking Meta's AR glasses, a shakeup at Initialized, and the best startups of the decade | E2021
Episode Date: October 7, 2024Timestamps: (0:00) Alex and Jason kick off the news show! (3:26) Overview of Harvard's AR glasses tech demo and club projects (10:09) Squarespace - Use offer code TWIST to save 10% off your first purc...hase of a website or domain at https://www.Squarespace.com/TWIST (11:35) Discussing responsible tech use, privacy, and entrepreneurial aspirations (18:30) Guests' academic focus and future in technology (19:41) LinkedIn Ads - Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups (21:27) AR technology trends, practicality, and ethical considerations (26:10) AI advancements, deepfakes, and AR in healthcare (29:37) Washington Post - TWiST listeners can subscribe for just 50 cents per week for your first year at https://www.washingtonpost.com/twist (31:06) Insights on young founders and the podcast's live format evolution (31:58) Venture capital trends and Initialize Capital's restructuring (39:28) Founders Fund and CRV developments, returning capital to LPs (42:02) Analysis of scale insurgents and successful startup unicorns (46:39) Secondary market opportunities and fund exit strategies (53:00) New Twist 500 members: Snyk and Nym (59:56) TikTok's impact on the music industry and content creators (1:01:05) Investment discussions with Chef Reactions and TikTok creators * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Follow AnhPhu: X: https://x.com/AnhPhuNguyen1 LinkedIn: https://www.linkedin.com/in/anhphu5/ * Follow Caine: X: https://x.com/CaineArdayfio LinkedIn: https://www.linkedin.com/in/caine-ardayfio/ * Follow Alex: X: https://x.com/alex LinkedIn: https://www.linkedin.com/in/alexwilhelm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (10:09) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST (19:41) LinkedIn Ads - Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups (29:37) Washington Post - TWiST listeners can subscribe for just 50 cents per week for your first year at https://www.washingtonpost.com/twist * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason’s suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916
Transcript
Discussion (0)
Getting back to our discussion of where the industry is, I think we are at the turning point right now
because private equity is coming in and trying to buy positions. We had somebody offered to buy one of
our positions in our first fund at some discount to the last round, which was only 20%. Now, most of the
discounts I've been seeing have been in the 50%, 75%, just bottom feeders. But this one, if we sold our
position in this fund, that would return 1.5x the 3%.
fund. We really believe in this company, but that fund's already at 1.2x, I think, 1.1x. So we add
1.5 to it. Now we've got a 2.6 or 7 X fund with still some holdings in it. Maybe this is
something we should consider for our LPs. Would be great to get that firm to, you know, DPI actually
returned, not on paper, because that one on paper was kind of right around 4.95X. So my job is to get,
those two numbers to, you know, meet as best I can. I haven't had to think about an exit for a long
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Right now, Twist listeners can subscribe for just 50 cents per week for your first year at Washington
post.com slash twist. All right, everybody, welcome to this weekend startups. I am your co-host, Jason
Kalakanis. With me is my co-host Alex Wilhelm. He is Alex on X.com.
com slash Alex. I amx.com slash Jason. Talk to us over there. He's got a really great newsletter called
cautious optimism. And you can go to cautious optimism.com. He does a really good job. So we'll
pay for his newsletter. And today we've got a full docket. And for the first time, we're going to have,
as we've gone back to doing a live show twice a week, Monday and Wednesdays, at 1 p.m. Eastern,
10 a.m. Pacific, 12 p.m. Texas Central time. And I'm really excited about today's
live guests on the program because I think this is the most controversial demo of 2024.
Controversial is the word I'm using.
Yeah.
I think in retrospect, the Rabbit R-1's C-E-S era demo, it wasn't controversial at the time.
It was exciting.
People were, you know, oh my gosh, maybe they've actually come up with something
here that's so new.
What is a large action model?
You know, you remember the whole conversation.
And then that kind of petered out and it became infamous.
if you will, but this I do think it's controversial from the jump.
Right.
So that might have been the highest profile launch, along with ChatchipT,
01 maybe, which I think was named after 01 visas.
I saw that on the Twitter that somebody said that they named it after 01 visas.
But let's get started here.
Let's talk a little bit.
Maybe we can just start by U-Ting up this demo that came out,
I think Wednesday or Thursday last week.
Yes.
So two folks from Harvard, Anfu, W,
and Kane Ardafio put together a demo of some hardware that brings together AI technologies
and the second generation of meta's AR glasses.
We've put together a cut for you, so let's take a look and see what they put together.
And then when you pick your jaws up off the floor, we'll talk about it.
We built glasses that let you identify anybody on the street.
The information that collects from just a photo of your face is staggering.
Uh, Cambridge Community Foundation.
Oh, hi, ma'am.
Wait, are you a Betsy B.
Yes.
Oh, okay.
I think I met you through like the Cambridge Community Foundation, right?
Yeah, yeah.
It's great to meet you.
I'm Kane.
Here's how it works.
We streamed the video from the glasses straight to Instagram and have a computer program,
monitor the stream.
We use AI to detect when we're looking at someone's face.
Then we scour the internet to find more pictures of that person.
Finally, we use data sources like online articles and voter registration databases
to figure out their name, phone number, home address, and relatives' names.
And it's all fed back to an app we wrote on.
our phone. Okay. So there it is, folks. The application I've always thought would be the killer app
for augmented reality, which is you put on your pair of glasses and like my serial killer glasses
I'm wearing today. And above somebody's head, I might see above and around Alex's face.
I don't know, mutual friends we have. I wasn't thinking home address. That creepy, but maybe
the LinkedIn page if it's public. But here, a pretty great demonstration. Something that's been
possible for a while, but what's truly unique here is not the facial recognition, it's the
back end going and, you know, combining facial recognition with sources of data, which I think is kind
of what LLMs bring to the party, right, Alex?
Yeah, so the guys put together a doc and we'll have them on in just a second. And they talked about
how what they've done now is just possible because of not only LLMs, but their ability to
process huge amounts of data very quickly. So this is a really fun hybrid of hardware hacking,
if you will, and also just intelligent putting together of different bits of software to make a much greater hole.
And I think this is going to inspire a lot of folks to build.
But Jason, why don't we have the guys on?
Okay.
All right.
Well, please welcome to the show, everybody.
It's Anfu Wynne and Kane Ardafio.
Anfu, if you're curious, is from Nebraska and Vietnam, and he's working on human augmentation over at Harvard.
And Kane is from Indiana and is working on a physics major.
Guys, welcome to the show.
Nice to meet you guys.
Jeff, thanks for having us.
All right.
So tell me how many days, weeks, hours, months did you work on this project?
And what was the inspiration behind it?
Yeah.
So it was actually pretty quick to code it since we've been coding for a while.
It's been going for like nine years.
But it took about like four, four days to make the code work.
And then we spent the rest of the time making the video as well as also writing up the
write up on how we did it as well as the things you can do to like erase your
information off of these websites so that the tool becomes completely ineffective. And that was like a big
part of our campaign is to raise awareness of it and also like solve the problem immediately.
And what was the inspiration behind the project? Me and Enfield have been working in like this area
for a while. There's a couple of different areas that touches. One is on like the augmented reality side.
Like we started the like augmented reality club at Harvard. We happened to we have like a bunch of
headsets like these glasses, you know, like kind of in our possession. And then,
Another part is like the open source intelligence part where, you know, taking a fairly like innocuous data and being able to extract way more information out of it, like home address, like going from name to home address, phone number, relatives, that type of thing.
And then the third component that we have a lot of familiarity with are LLMs.
You know, every college student is like familiar with like chat chit and knowing, having familiarity with that tool allowed us to into.
So, Kane, you're telling me you were able to form a club that the chess and the Dungeons and Dragons club could be.
make fun of, a nerdier club. Oh!
Than Magic the Gathering at Harvard. There is an augmented reality club at Harvard.
Yes. Yeah, yeah. We were the bottom of the barrel. So, it was...
I mean, this is a level of geek and nerd dork that I am here for. I would join that club immediately.
I want to stand up for the nerds here because I was once a knitting club. I just want to throw that out there.
And also, I've played a lot of D&D. And so let's not... We don't need to get feisty amongst the nerds
Jason's all picking fights.
I'm, I am bonding here.
There was nothing more exciting for me than like Sundays when I knew we were going to play Dungeons and Dragons in the afternoon.
I counted the hours when I was 12.
But anyway, this caught some virality to it because you made, not only did you build the technology, you decided to go out into the real world and kind of be a little cheeky, a little fun with it, and kind of do what we call in the broadcasting.
business man on the street, which is when, you know, and journalist just talks to random people.
You do a little street work. Tell me about the inspiration behind that and who actually did that
because that takes some bravery to go try this thing in the real world. And we saw a couple
clips of it. Did anybody get really upset at you or figure out that they didn't know you and that
you were scamming them or you were using technology to kind of, you know, stalk them, creep on them?
Yeah, so I guess part of the inspiration for doing this was to show people that this tech was real. It is happening in the real world. It's all public data. And this could happen to anyone at any given time already. We're just raising a little bit. We also made the decision to do a more wholesome prank where we would go up to them say like, oh, I'm a big fan of your work. I've read all your stuff. Like, this is great. Just kind of flatter them, make their day, right? And then have them go on with their day. And then most of the other ones, we just went around Harvard Yard meeting random people.
people who go to Harvard and then like trying to get to know them basically.
A big thing that we believe in is like taking technology outside of just like research labs
and like computer science classes at Harvard and like putting it in like a presentable way
and like really putting it in the real world, seeing how it really works on, you know, literally
like the subway.
Guys, but be honest with me.
Was just just a way for you to meet chicks?
No, no, no.
This wasn't to meet girls like Zuckerberg created the book face because he said he couldn't
meet girls who wasn't very good, he was a little intimidated. It seems like you guys have a little bit
of game, so I don't think you need this tool. Yeah, hopefully we don't need this tool.
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Like honestly, it's more like for like networking. Like, oh, there's just like, you know,
super cool like business person that I met, you know, what are there deep?
All right. I like it. Alex, you're with us.
Yeah, I'm curious about you guys being so white hat about this.
Because often we've seen technology, someone goes, hey, I built a thing and then they
show it off and they give it away and then people go out there and explosions follow. In this case,
though, you guys seem to be very privacy conscious from the beginning. Very politely, why are you
being so responsible about this when you have what is essentially the coolest demo out in the world
right now? It just feels very wholesome. Oh, yeah. Thank you. I mean, we, we like, this originally
started as a side project. We just hack on things. We're not really privacy researchers or anything,
but as we started like showing more people and developing it further, we realized how dangerous
this actually could be.
Like, we talked amongst each other and definitely didn't.
Like, we decided not to open source it, no publishing of the code to anything.
And we just want the extra steps so that if this did go big, then people could protect themselves.
Like, I wouldn't want to release a technology where people would just feel unsafe,
even in their home and in public.
That's kind of why we decided to take a more awareness.
So the other side of that question, though, is you did show it off and you have provided a little bit of
information about how it was put together.
You guys said that this system leverages the ability of elements understand and process
and you put together different features to kind of make it work.
Did you leave enough breadcrumbs for folks to quickly follow in your footsteps and make
their own home brew doxing goggles?
Yeah.
So, I mean, we definitely, this is kind of like a calculation on our part to see like,
yes, we, you know, we kind of showed like what parts of it, um, it was kind of built out
of.
But a lot of that was just because in order for us to tell people,
how to protect themselves.
Some of like the core machinery,
like you have to be aware,
for example,
like, you know,
we use like the Pemey's reverse image switch engine
for people to know how to protect themselves,
they need to know that exists.
And our calculation is that maybe,
you know,
a few people might kind of try to reverse engineer what we did.
But I think a lot more people,
maybe like tens of thousands of people
will now protect themselves.
Yeah,
no,
I think that's super fair.
Yeah,
I was going to say that I think is a long tradition
in people figuring out
if a lock,
like a mask for a lock,
is easy to pick, and they share it, and then people go, oh my God, you just taught everybody how
to pick a master log. It's like, no, we taught non-criminals how easy it is for criminals who already
have this information to do it. And the strategy, which you used here, public databases,
et cetera, official recognition, this is what scammers have been doing for a decade now online.
They will wait till somebody is on vacation, sharing their photos in Greece, and then go rob their
house, very simple to do, or look for people wearing certain watches, and it's just going to be
exacerbated. You could build a tool that looks for a certain extremely expensive watches on
Instagram, find those people, find their addresses, make a list, and then give it to a criminal
gang, which, by the way, if we can just brainstorm that right here, that's happening already.
And so this is just a great gift you've given to folks. We see this in confidence scams all the time,
but there are a lot of positive uses to this, especially if people opt into it.
And so you seem very entrepreneurial.
Are you two considering entrepreneurship as a career path?
Yeah, I mean, I started in high school.
And yeah, we've been doing startups for basically our whole lives.
Right.
And what are you, 19 and 20 years old?
We're 21.
Oh, you're 21.
Oh, wow.
You're aging out.
Yeah, yeah, yeah.
So when do you graduate?
I'm a genius.
So I graduated in two years.
I'm in one and a half, so we're about the same.
Got it.
Okay.
Well, you seem incredibly bright.
So how about I give you $125K and incubate your company, build whatever you want,
and you can do it while you finish school or you can just quit school and just go do it?
If you're serious, that'd be awesome.
Okay.
Great.
As long as you, I mean, you guys got into Harvard from, assuming that you don't have some crazy criminal records and that you're morally and ethically, you know, like, people.
But we'll close the deal after we.
off online here, but what's the reaction been? This obviously went viral in a way maybe you didn't
expect. And then that means people on campus know about it. And you, I'm assuming, became,
you know, higher profile on campus. I'm assuming some journalist called and maybe even some
investment venture capitalists like myself called. So what's been the reaction? What's the most
interesting feedback you've gotten in any famous people or venture capitalists or the school come knocking
and say, hey, this was interesting, but maybe don't take it any further. What's the reaction been?
So it's been really interesting.
I think from like just, you know, students and like, you know, our peers, we've received
a lot of different feedback.
Everything from like, oh, this is like the greatest invention.
Like, where can I buy it?
Like, this is like the greatest invention I've ever seen to people saying like, okay,
you know, maybe this technology shouldn't even exist.
Like, you know, don't even build it to begin with.
So it's been just like very interesting seeing like all of the like polarization.
And then there's obviously a lot of people in the middle.
And yeah, I mean like meta and like a couple of the other companies involved.
involved, like have responded to journalists, but nobody, like, none of like the institutional
bodies have really reached out to us. So mostly just like our peers and media.
Yeah. And we've been to a lot of press. We got a lot of inbound from people interested in
it as well for networking. I guess the interesting one is like a couple magicians reached out
to us for like to use magic trick, right? Because if you didn't know this tool existed,
you'd be like, oh, does your name rhyme with this or something like that? Like, that'd be crazy.
Right. Like, well, and you know, it's interesting about that particular.
scam, the clairvoyant scam or the fortune teller scam is, they will be looking at you
trying to read you. And you come in and you give your credit card at the front. Somebody might
at the front desk once they get your name and they know it, go start doing internet searches.
The person might have an earpiece in like a hearing aid and they might be feeding them some
information and they do that. But the way that trick originally worked, my understanding of it is,
I would say, so you grew up in your Asian, you're Asian,
you're Vietnamese or Korean I'm sensing.
Oh, Vietnamese, because you smiled, right?
So you're Vietnamese and your parents came here.
Now, if I knew the history of Vietnam or like if you know the history of, say, Iran,
if you meet anybody who's Persian in America, if you say, oh, did your parents come here in 1978?
It's a little, they say, yeah, how did you know that?
Well, that was when the revolution was.
That's when everybody came here, 77, 78.
And, oh, you're Persian.
So you're Persian Jewish.
and well, those are 99% of the people who left around were the Persian Jewish people because it became an Islamic state.
So that's the sort of thinking. And they also know the top 10 careers. They know the top 10 names. So they can kind of play this kind of game. Here, you just close that loop. So that's very interesting. What are your majors now in college? What are you majoring in here at the Harvard University?
Yeah, I studied physics.
I'm in a self-design concentration.
It's called human augmentation.
There's a, is that a computer science?
It's under the CS department, yeah.
But it's like you design your own like curriculum and name and stuff.
Got it.
So human augmentation is your passion?
Yes.
Got it.
Well, if there was an idea you had in human augmentation that's just not practical today,
but that you could build, what would it be?
You know, like if you could do something that maybe it doesn't feel like technology is ready to do in the next five years, but would be pretty game-changing, what would it be?
I've been thinking a lot about, like, new interfaces to interact with AI, and I've built like five, six different major projects that were months long related to this.
Like smart glasses that listen to your conversation and help you get longer short-term memory or ideate quicker, be more creative.
or define any word.
And it's just like, it just works with you
and has all the context to like give you that intelligence.
So I'm very interested in that.
And I think there's a lot to do with that in the next five,
10 years.
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You got a lot of competition out there.
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Well, the answer is obviously LinkedIn ads, where you can precisely reach the professionals who
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that you want them to know about your product or services. LinkedIn ads is going to.
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it's giving you a hundy. A lot of those lessons from science fiction films. You watch a lot of
science fiction? I actually don't watch any movies. I'm mostly building stuff. Yeah. Two hours will
take a little bit of time, but there's this very famous franchise matrix where they do essentially like a
neuralink type jam and Yano Reeves goes, I know Kung Fu. You might know the clip from TikTok more than
Yeah, you've seen the clip on TikTok.
Have you guys watched a full movie?
Have you ever, have you sat and watched a two-hour movie?
I mean, I didn't watch the social network.
You did?
Yeah, yeah, yeah, because I thought it was pretty interesting.
There's that there's kind of a fascination on campus with like Mark Zuckerberg,
like any like entrepreneurship-minded Harvard student, a lot of them really aspired to be like him.
Not me, but like it's, yeah, it's a thing.
That's fascinating.
Yeah.
I met him like the first year he was in Silicon Valley.
He was incredibly awkward.
And everybody just thought, like, this kid's weird.
But he's incredibly focused and he's really good at copying stuff and then making it faster and better.
He didn't have like his own ideas as much as he like saw hot or not or he saw Friendster and he saw Myspace.
And those services were crashing constantly because at that time, the web 20 years ago just really wasn't good with real time feeds.
The idea of taking a database of feeds and like stitching it together was like a query that might take a long time, etc.
and servers were very hard when things went viral,
the things were crash.
And so what Zuckerberg did was he just looked at Friendster in MySpace and said,
if I make this clean and fast and stable,
I wonder if it worked better.
And it did.
Yeah,
it's kind of crazy,
like how,
like,
for example,
this project,
this is probably like one of the,
like,
shortest projects,
me and we have ever worked on.
Like,
most of the things I build,
it's like months of,
like,
toiling and,
you know,
spending like,
you know,
a bunch of hours and money working on it.
And this was just like a couple day hack.
And it got like a lot more,
traction with the real world.
So it's really interesting the way it works.
Important lesson for founders,
which is a lot of times what you think the world wants
and what they do want,
like,
it's just very different,
you know?
And you have to like just keep trying different things
and move on to the next one if they don't work.
But yeah,
I encourage you both to just keep building stuff.
Each time you build something,
you learn something, right?
Yeah.
And a lot of times it's a second or third effort
that actually works.
AR is very early right now. When do you think it will, in your estimation, become mainstream?
Like, you started this AR club. Did anybody show up? Are people interested in it? Do you personally?
It's just the two of you, isn't it? It's a club of two? It was a pretty cool club, actually.
Like, a lot of people wanted to come see the tech. Like, we had all the newest headsets.
And we ran, like, a big conference with, like, 150-something people came. And, like, packed on, like, a bunch of
a bunch of big company sponsors came.
Yeah, I mean, like, we, I, I think like the curves for hardware, especially like a lithium battery, like,
dense power density is going to take quite a while for this stuff to really like become just
a normal looking pair of glasses for all the functionality that people generally want.
So I think it'll be much longer than when we originally started at Sart Club, um, what our timeline
was, but yeah, I don't know if Kane had thought.
But I'm curious about the cost, guys.
What was the actual cost for this headset that you built that we just saw in the demo from start
to finish?
We actually just use like the meta ray bands, uh, off the shelf headset.
It's like 300 bucks.
It's incredibly cheap.
They're like almost from normal glasses.
Like, you probably can like barely even tell over the Zemeanor.
And when those are recording, does a light go on to let people know that it's recording?
Yep.
Yeah, there's an indicator.
There's like a white light that pops up in the phone.
And it's usually pretty obvious that it's recording.
Yeah, it should be red.
I think they made a design decision to make it white, to make it less scary.
It should be red.
It should blink.
I think that's going to be the societal norm.
The genius of this, Alex, I think, is off the shelf, these things streamed to Instagram.
And then you pulled up the Instagram stream and just grabbed frames from it.
Or I guess the language model can take a clip from it or can it watch it in real time?
Oh, in our case, we just have a bot that's running like no language model, no fancy AI, just like, you know, a bot that just takes screenshots of every like, you know, frame.
Perfect.
So you just have all the frames going in and doing the facial recognition part.
Now, in some places in the world, they're anticipating this.
So in the EU, there are some particularly norily laws.
Did you start thinking about some of those?
And did you start researching that piece to it?
Like, where would this actually be applicable in the world?
Yeah, we did. We did see that Europe had a ban on real-time facial recognition. It's not the case here, at least in most of the U.S. Yeah, we just wanted to show the demo to see like, even if it was like illegal, I think like this tech is just straight up publicly accessible and publicly usable. Yeah, that's the important part. And this is how scams occur. There's so many of these scams. People are now taking anybody who's got an hour of video or audio and making clones of people.
And there have been a couple of attempts to have limited partners, the people who give money to venture capitalists, of spoofing limited partners calling venture capital firms and changing their routing information.
So, hey, can you change my routing information?
And this is where I want my Uber shares and my Facebook shares to go.
That's crazy.
It's crazy.
Didn't work.
But we did get a notice my family office from a venture firm that somebody had tried this.
And so that was last year.
Who knows how good it is this year.
But there was also a report of people doing these type of scams in what's called pig slaughtering.
Pig butchering.
Pig butchering.
And that's when you, a confident scam where you have a woman connect with a guy, they become amorous.
She starts sharing all her amazing trades.
They send the pig to make trades on a fake exchange.
They have them win a bunch of stuff.
small trades. So they turn 1,000 into 2,000. They turn 400 into 1,200. And after like doing that
four or five times, then they set them up for the big one. Hey, you should put $20,000 on this one.
It's, I think it's going to go 10x. And then the entire crypto exchange is fake. Wow.
That is so much work to steal money. I feel like it's just so much easier to make money
versus stealing. That's a lot of effort, Jason. I mean, not if you're in a boiler room,
you know, in Vietnam, which I think is where these are occurring. And so,
some other folks and then they get them eventually to send tether because they're like, oh, yeah,
no, tether is like this legit thing.
And then they send the tethers and they move on to the next person.
Yeah.
So Mark Bowen says that this is quite obviously scary, but the workflow is incredible.
And he sees the use case here, a potential one being, imagine you're going into an emergency
room full of patients and then you automatically get their chart history, allowing you to triage
more efficiently.
That's similar and way more useful than my idea, which was, I just want people's names over
their heads because I'm terrible with names. And I would be such a better friend and just
like person in my neighborhood if I just had names. So to me, like, there's so much that could be
good here and could be scary Jason. And I just think he goes to show that the risk here is not
really the AI models. It's the lax data privacy rules in the United States. All right, gentlemen,
if you want to start the company, it's a 48 hour offer. You have my contact information.
Contact me. We do a Zoom call. If you want to go for it, I'm here for it. I got 125. Okay,
right here in the desk draw.
I could just ship it to you anytime.
We'll follow up with you.
Okay, great.
You can have like the world's greatest investor.
World's greatest angel investor is your first investor.
And let's see if you can make a product out of this or something around it.
I'm willing to take the bet.
All right.
Well done, boys.
Get back to work.
You know, and remember what my grandfather told me.
Keep your focus on the books, not the babes.
Yes, we'll do.
Gentlemen.
Stay focused on those grades.
Okay, wrap it up cleanly here.
And you guys weren't involved in any of these nonsensical protests.
Were you last year?
Are you staying focused?
Nope.
Yeah, yeah.
Just in the books.
Okay, good.
All right.
No, no, no.
Do you don't need to be out there protesting?
Just let's get this degree finished up and make your parents breath.
All right.
Well done.
Yeah.
All right.
Great meeting, you, Jason.
Take care, guys.
Thanks, guys.
Cheers.
We've been doing two news programs here on this week in startups every Monday, every Wednesday.
And there's just so much happening in startups, the economy.
venture capital, globally. All of these things are critical for you to know as an entrepreneur because
they impact your business, right? They impact the partnerships you're going to make, fundraising,
and the Washington Post is an incredible place to get coverage of not just politics and the
environment, but really business and technology from a real global perspective. And that's what I
love about it. I need to understand these issues deeply. The Post is no longer just a
newspaper. They have apps. They've got podcasts. They have newsletters. And you're going to deepen your
understanding. You're going to be more worldly. And that's going to inform how you build your company and how
you run it. So here's what I want you to do. You're on the go. You got a pair of headphones?
The post will read you the articles. I've been doing this. I've been walking around the ranch.
I'll just listen to a Washington Post article. Amazing. I multitask and I get smarter and I get more
worldly. And then when I go to a business meeting, I can speak on important issues. Go get a Washington
Post subscription right now so you can come across as smart and intelligent and informed Washington
Post.com slash twist. You're going to subscribe for just 50 cents a week in your first year.
That's 80% off their typical offer and it's a steal. So Washington Post.com slash twist.
Go subscribe today for just 50 cents per week for your first year. I love meeting people who are very
early in their careers and are just very intelligent and just like it's big founder energy.
But like, do you ever just feel slightly old?
Slightly.
You put their ages together.
That's less than my age and almost exactly yours.
Yeah.
Yeah.
But on the other hand, we're optimistic, though.
I mean, how much do we read about, like, the youth these days can't read?
And then those two guys are just doing successive hacking projects?
Like, awesome.
That was great.
I like having a live guest.
We're going to try to have more live guests.
Come on.
It's got a certain energy to it.
I want to get some callers, too.
I want to do a little call-in show.
Like, at the end, have a couple of callers.
come in live.
I would love that.
Surprise us with the question.
You know, like sports radio.
Yeah, but you know,
won't come on the show, Jason.
Quite a lot of initialized capital.
Because as it turns out,
that wasn't very nice.
But you go up for the segways.
Initialized capital is trimming down.
This fits neatly under our venture trims down coverage.
That's a theme we've been talking about.
Also, last we talked about CRV,
returning $275 million out of a $500 million fund.
And so initialized, Jason,
in a blog post from Brett that when initialized started out, we were small and scrappy,
comma, comma, comma. Over time, we found success and grew, but we lost a step,
time to get back to basics, restructuring our team, smaller team. This feels like an echo
we've heard from the smallest companies all the way up to Amazon and back down again, Jason.
Yeah. I think what happens in a firm, and that firm has had both of its founders leave.
Alexis left. I think him and Gary had some sort of falling out. I don't know the details of it,
but there was some sort of falling out, as partners do.
Sometimes people get divorced, no big deal.
Just take care of the kids.
In this case, that'd be the LPs and the startups.
Gary ran it.
Then Gary left to go take a bigger opportunity
why accommodator, a little bit controversial,
I guess, to leave initialized to go do that.
But it seemed like they had some, you know,
nice talent and a deep bench there.
But we do have a situation where the venture game is changing.
There is a cataclysmic, creative destruction,
occurring because of the lack of distributions and because of ZERP and the overhang of all of these
very large rounds. So we have so many unicorns in the Twist 500. We're over 100 companies now in
our Twist500.com listing of the top 500 private companies. And so, you know, if it's not
working, sometimes you have to shake things up. Sometimes shaking things up means changing,
you know, key players and maybe players who got you there. So my Knicks, as you all know,
I'm like diehard Nick fans.
We have a player named Julius Randall
who kind of led the resurgence in New York
when Kevin Durant wouldn't come to New York
with Kyrie Irving.
They went to the Nets.
And we got this weird consolation prize
a player named Julius Randall
who then created a winning culture in New York.
And we just traded him for Carl Anthony Towns,
who is a much better, more decorated,
all-star player, who fits better with the team.
The whole Knicks community for the past week,
including myself, have been doing call-in shows,
and trying to reconcile that the team got better objectively, massively better, while saying
goodbye to two players who we love. And I think that's probably what's happening here. You know,
some changes have to be made to make the company work better, to make the firm work better.
And hopefully we can have Brett on the pod. I invited him to come on Wednesday. Hopefully he's
around and we can get Brett to come on the pod and talk about it because this is probably a mature,
thoughtful decision, but people lose their jobs or people get traded. They go to other firms. And
you know, that's just the nature of it. And one of the most important things to understand as an
entrepreneur or somebody leading a firm is sometimes change is the right decision. And it doesn't
necessarily matter what change you're making. I know this sounds like very strange. Because when you're
a worker bee working for a company, you see change and you're trying to figure out how, why did they
decide to make this change? Why did they go, you know,
from remote to back to the office.
Why did they go from, you know, seven departments to four or from three layers of management
to two?
And what happens is sometimes just shaking things up and changing the organizational structure
allows you to build a better product.
And it's like some people might call it change for change stakes or people just screwing
with the system.
But almost overwhelmingly, when somebody leaves a company, even somebody great, you get
a better person.
It's a very weird phenomenon because you're like, wait a second, that person was amazing in that position.
Then that person goes on to do better things.
And you're like, wait a second.
That person is doing something better.
And the firm did something better.
How is that possible?
It's a very simple, very simple equation.
The firm learned so much from that person.
Let's call the person John.
John did a great job.
The firm leveled up.
And then you get some fresh eyes on it with Jane.
Jane comes to the firm.
And the firm became better at hiring because John did such a good job.
job setting up the foundation that Jane was able to build on it. And John went on to another
adventure, recharge his battery, took those lessons, and did something better with their career.
And so when I see these changes being a weathered vet of the Clone Wars, I'm like, yeah,
I get it. But I understand how other people see these things, you know, a journalist, a rank and file
employee, another company, whoever it is. And they're like looking at the tea leaves saying,
what is it? But what's your take? Well, I really appreciate the talk about.
change because if you just say make some changes, change for change sake, people get very,
very defensive. Like, oh, you know, why would you do that? That's a little bit aggressive.
What if you change the wrong thing? The flip side is a team that's been in place long enough
doing the same kind of work will eventually form patterns that become so ossified. They can't
really adapt or change. And I've worked at several companies that I've had pretty long histories.
And so I've seen this in action. And sometimes you need calcification, just break something.
and then everyone will run around with their hair on fire,
and then you'll probably find four or five other things
that weren't super efficient when you do that.
Great if you could be targeted,
but if you can't find anything,
grab a pipe, wrench it out,
you'll figure it out where everything's broken.
And so I do like that.
In the case of initialized, though, Jason,
last two funds, both raised December of 2021,
$530 million for the main fund,
170 for the Opportunity Fund.
No new Form D filings that I can find
said they made 14 investments this year.
Doesn't sound like they're out of cash.
It's my read.
14 investments on average, a Series A firm like that, seed to series A firm.
You put it at $4 or $5 million per.
They've deployed 75 of the 500.
The 170, no way to know because you would deploy that opportunity fund in a very unique opportunity.
This fund had their previous fund had Coinbase in it.
Coinbase, at the level they did it, was a career-making investment in the way Uber, Robin Hood were for me.
That was one of the great investments of all.
time of the last cycle. There's only been maybe two or three companies in the last cycle that
had extraordinary returns. Uber, Airbnb, Coinbus, think are the three. That when LPs
look at them, Stripe would be another, but that hasn't been liquefied yet. But strike would be
up there as well. Basically, anything 50, 100 billion would be it. And if you were to look at that
entire cohort, one of them's worth 150 billion, happens to be the one I was the third investor in. That's
why this firm did so well. When you have that behind you, some big bets like that, it really does
give you momentum. And I think that's why Alex was, Alexis was able to do his own firm, sorry.
And I think that's probably why Y Combinator hired Gary Tan is because he's a good picker.
Yeah. But I think the LP's an initialized and now have to think, okay, we have to reevaluate this
firm from first principles again. I wonder if that's why they did this now, because it has been a
couple of years, not a odd time for them to be out fundraising. If they are, I don't know. But let's say
you want to go out there. Maybe your last fund isn't showing as much juice as you want. Shake up the
partner list, maybe lower the overall burn at the company, cut half a point off your fees per
a. I can see some action there leading to a new fundraise. And if you're going to change the chapter,
rip the whole last one out and throw it. Don't do it half measures. And this seems to be a pretty top to
button clean up. Yeah. After we talked about CRV giving money back, somebody pointed out last year
that Founders Fund had given back half their very large billion dollar fund. And I remember
talking to Brian Singer about that, Brian Singerman, sorry. And he, you know, I think it's a very mature
thing after Zerp for realize these companies don't need as much money. We're not up against
Massey Yoshisan and SoftBank. We're not up against the Tigers and the
whoever are coming in and dumping these large rounds, not taking board seats.
So what is the setup here, I believe, these will be the next two vintages of, you know,
if you consider a vintage three to four year investment period, I think we might have three
world-class vintages coming up.
One we're in and we're like, you know, like right in the middle of it.
And then the next two could be some of the greatest vintages of our lifetime.
Okay.
That's a really great way to bridge into what we're talking about next because there was a
fascinating article in the Financial Times. I have been critical, Jason, of unicorns, and there
been too many of them and then raising too much money. But one thing I've never really doubted is
that there are some really amazing companies in the current unicorn crop, and we're going to see
some great outcomes. So I sound negative occasionally, but I'm actually not. The FT, though,
pointed out that according to Bain and companies, scale insurgent demarcation, which is 10 billion
in annual revenue and a billion in operating cash flow. Only two companies, they say, in the last
20 years have been built that meet that threshold. And they are meta and Uber. Now, I one,
I'm fascinated by that as a threshold for having quote quote made it. I want to get your take on that.
But also, I think the list is too small. First of all, scale insurgent, 10 billion in revenue,
billion in operating cash flow. How important do you think those metrics are for deciding the true
winners? Yeah, there's this expression that, you know, the markets are a voting system and then
they're a scale. And you know, because you're obsessed with S-1, you did a great job on an S-1
and cautious optimism today. Thank you, Justin. I appreciate it. And the bogey, you know,
like what you need to hit to IPO, I've been told is a billion in revenue now. Now,
we're starting to see some people with less, you know, tee up, but that's what I was told.
A lot of banks are telling founders. It's not true, but that is what they're looking for.
But to have an enduring company, I do think that those are two interesting numbers to
look at because you do have to hit a certain amount of cash flow to be a real business. You cannot be
a money losing business forever. Amazon learned this. At some point, Amazon had to stop the break-even
train. People gave them runway for a decade or more when they saw that nice top line growth,
but eventually they needed to say, we're going to have some cash build up here. And Tesla as well,
Tesla was invest, invest, invest, and then all of a sudden, the J-Perve turned around, and I don't
enough. They have $30 or $40 billion in the bank, man. It's a lot. It's a lot. And so the J-curve can be
violent in both directions. You know, and Uber's and Tesla would be probably the two best
examples I can think of. Oh, yeah, because Uber's cash burn for years was astronomical. And then
Dara took over and some changes were made operationally. Things got a little bit less cash
consumptive. And now it just kicks off cash. And the thing is, you mentioned Amazon, you mentioned
Tesla, those are companies that the same analysis put in the 1990 to 2003 bucket.
And it said six companies met those requirements that came out of that era.
Okay, I can tell you them.
Okay.
Google is in that.
Yep.
Google's in it.
Invideo was probably launched around that time or slightly after.
I don't know their founding date.
Well, we know.
93.
So, yes.
Is Salesforce in that group?
Do they have a billion dollars in trailing cash flow?
I'd have to check their metrics.
I would think so, yeah.
Money printing companies, companies that are just compounding.
Are they all tech companies or are they non-techs in that list?
I believe this is an all-tech list.
All tech list.
All tech list.
Okay, so Apple was already formed.
Microsoft was already formed.
Apple was already formed.
You can't count out the YouTube because I got above my Google.
May you have Google on the list already.
Meta came after that.
That was 2004 founding, I believe.
Tesla was 2001 or two founding, I guess.
Uh, okay.
So Salesforce would, by the way, fit.
It's, uh, it did 900 million operating cash flow last quarter and 9.3 billion in revenue.
Okay.
There they go.
Um, did they not mention the names?
Because I'm just rattling them up.
They mentioned, uh, just Tesla, Amazon and alphabet.
So you and I are hunting and packing.
But the thing that's more interesting, Jason, is they said there's only two in the last 20 years,
meta and Uber.
And I don't think that's true.
I did a little digging for us.
Airbnb founded 2008.
So more recently.
Just became profitable.
Yeah.
They got to be getting close to a billion.
in cash.
They have a billion in trailing free cash flow.
And in last quarter, they had 2.75 billion in revenue, putting them above a $10 billion yearly run rate.
So looks like FT made a little mistake, poo.
And Alex fact checked you.
So somebody sent this clip to the F.E editors.
Oh, I'm not done.
Stripe.
So founded 2010, processed over $10 a trillion last year, 3% cut.
That's 30 billion gross revenue.
And the company said it was robustly cash flow positive in 2023.
Sounds pretty close to me.
Coinbase, not profitable?
I see, Coinbase is the only one that I didn't think of when I was prepping for this show.
I will find out for us live because I know where their earnings are.
This is why Alex is amazing.
He just can just get this answer for me.
Because the thing with Coinbase is they get these incredible custodial fees.
And there's a lot of corporate people who park their Bitcoin there and have them manage it for them.
Like, this is corporate thing.
And I think they get paid a small percentage of just,
as a custodial fee, which I think is just all margin for them. I think that's all profitable. I got to think
that's throwing a ton of money to the bottom line. Yeah. So their revenue is north of a billion
per quarter as of, you know, Q1 could do this year. And there's, not 10 yet. Yeah. No, no. So I think
they're going to miss on the scale side. But then if you look at their free cash flow for the last
six months, it was a $895.7 million. Sorry, net cash operating activities last six months.
So profitable enough, not big enough.
But there's the Shopify, I think, also meets the standards.
Yeah, Shopify should meet this.
I think this is too harsh on the last couple generations of tech companies.
There are more big names than people give.
Wait, why am I gassing you up so much?
No, I like it.
I was about to say, like, VCs deserve more credit and that almost came out of my mouth.
I mean, here's the thing.
The entrepreneurs deserve the credit.
The VCs and the capital structure and the LPs deserve the credit for taking the risk.
But what it does prove is the power law.
And I think getting back to our discussion of where the industry is, I think we are at the turning point right now because private equity is coming in and trying to buy positions. And then I invited you to sit in our investment team room since you're launching, you know, employee technically. And you get to see some of the investment stuff we're doing under our NDA and confidentiality agreements. We had somebody offered to buy one of our positions in our first fund at, you know, some discount to the
last round, which was only 20%. Now, most of the discounts I've been seeing have been in the 50%, 75%,
just bottom feeders. And of course, we don't even respond to those secondary ones. But this one,
which one of my associates, researchers, you know, told me about this weekend on Sunday and today's
Monday, and I said, hey, that would be if we sold our position in this fund, that would return
1.5x the fund. We really believe in this company, but that funds already at one point,
2x, I think, 1.1x.
So we add 1.5 to it.
Now we've got a 2.6 or 7 X fund with still some holdings in it.
Maybe this is something we should consider for our LPs.
Would be great to get that firm to, you know, DPI actually returned, not on paper,
because that one on paper was kind of right around 4.95X.
So my job is to get those two numbers to, you know, meet as best I can.
And so I haven't had to think about an exit for a long time.
Yeah.
So I'm a question there from the fund management perspective.
Do you go to your LPs and say, hey, guys, listen, we got this offer.
I don't think we should take it.
Let's say it's a 25% discount to put a random number on it.
Let's say discount.
You're like, I think we should hold.
I could return all your money.
Plus, do you do that or do you just make the decision yourself?
That's literally a major part of the job.
The reason the LPs hire you is to make those decisions so they don't have to.
They're looking at cash in, cash out.
Right now in that fund, cash in a dollar.
You're at a buck 10 or buck 20.
Now your cash in for a dollar is at 250, 260, feeling pretty good.
Now, do we hold on to try to get you back to have this investment double again?
And now, you know, give you a $350 or $4.
And that's where greed, you know, and discipline, you know,
become the factors that they're hoping that my carry helps me to make a good decision. And this is
where the understanding of your general partners is important. Because some general partners,
maybe they need the liquidity. Maybe the 20% on that, let's just say, let's just say it was a,
I'm going to just pick a random number. Sure. 10 million dollars. Sure. So if they have 25% carry,
they say, okay, we're above the threshold.
I get $2.5 million.
Do I want $2.5 million this year?
The five partners want $500 each or three partners want $750 each, whatever it is.
And then the rest of the team gets to chop up a couple hundred grand for their troubles.
Maybe.
Or if the person's like, I've already got $100 million or $200 million sitting over here,
if $500K doesn't do anything for me, let's go for the gold.
I'd rather, you know, have, you know.
And so this is why boards can become.
complex because you need to have the individual's net worth and how much this matters to them.
Just like when Zuckerberg got an offer for a billion dollars from Yahoo, Peter Till said,
don't take it. Zuckerberg's like, well, I don't have any money. My dad, is his dad a dentist or a
doctor or something, if I remember correctly? Yeah. Yeah, he's a, I think he's a general practitioner
or something, a dentist, orthodontist, I can't remember. So you know, got a son of a middle class,
upper middle class, you know, person, you know, who went to Harvard and, you know, he owns 70% of the
company's going to get $700 million to not take it, but he's now worth $200 billion.
Yeah.
So he literally held on and became worth $250 times that offer.
And this is the really hard thing.
So, you know, looking at this situation, perhaps the best thing for us to do is sell half our position or a third of our position and then, you know, let the rest.
And just our LPs get a nice little check.
Oh, yeah, now we're at 1.7, you know, consistently drip, trip, drip.
And this is why, you know, we have to get the single and double M&A world going because maybe in the same situation, instead of a secondary offer coming in a 20% discount, we would have a proper offer from, you know, sales force or some giant software company who wants to buy another software company, say, you know what, I'll give you, you know, three times what you paid in the last round.
I'm really curious now about the connection between exit timings and total DPI returns based on G.
or venture partners net worth.
Because I'd be curious to know if holding periods are simply longer if they're wealthier.
And the other version of this is realtor data.
In the old data sets that I saw, realtors that were listing their own house left on the market
longer to get a higher offer than the business for their customers because they were getting
100% of the gains when they held onto their own house, but only a fraction of a fraction
if they held your house longer for a higher price.
So incentives matter.
Yeah.
Incentive.
Show me an incentive.
I'll show you an outcome.
And the reason they do that is because they know it only takes one buyer.
Yeah.
Only takes one buyer.
And this is something for entrepreneurs to know as well.
You know, think of a sale that was like an extraordinary sale, WhatsApp, $1 billion to Facebook.
It only took one frisky entrepreneur, Zuckerberg, a bold entrepreneur to do something crazy like that.
And he told his board, I bought WhatsApp.
He just told them.
I bought WhatsApp.
I just went for a walk with Jan and I bought it.
That's, you know, baller.
And, you know, if it was Microsoft, let's say, or if it was, you know, I don't know, Apple under Tim Cook,
there would have to be a very long board conversation, you know, like Iger trying to buy Twitter at Disney, you know, which eventually he didn't do.
That was like a year or two of conversations.
Should we buy Twitter?
Really interesting.
You know, founder mode's great.
because it gives one person the steering wheel.
The other part of Founder Mode is that if you give the wrong person the steering wheel,
you may end up towards a cliff.
But going back to our point about change and about how things get ossified,
the thing that I actually have liked about the idea of Founder Mode
is the ability to go, I know that's how we have been doing things,
but what if we just didn't?
And that is the hardest, I think, muscle for our company to maintain.
And I think that's why we're seeing companies from small to large fry
to retool themselves so they can actually move again.
Now, before we sign off for today, Twist 500, we have a couple
and new members that I want to throw on.
One is the company you brought up, which is SNCC, S-N-Y-K.
It's not saying it's SNCC.
And it is a cybersecurity company, and it fits under a couple of things we've been talking
about.
One, sovereignty at the table, I think they raised some money from an overseas sovereign wealth
fund.
And I do want to put together a cybersecurity theme for us.
I haven't gotten the name down, but I think this fits underneath that.
What's really fun about this company is because of some of where it's based and so forth,
We actually got its information, and I think it shows a very interesting picture of how some of the things we've been talking about on the show can yield better financial results.
So, Jason, I'm going to bore you with an income statement here.
And pronounce the name of the company, because the spelling's crazy.
Snick.
Snick.
S and Y, K.
So the Y is an I.
Snick.
And no C.
If it's not, if it's not SNK, I will buy someone at the company lunch for butchering their branding all over this show.
But I don't know how else you pronounce that.
Sure.
And this is a cybersecurity company.
And we're looking here at their P&L here, their financial statements.
Looks like turnover, fancy word for revenue in thousands of dollars for the year ended December 31st, 2021, 2023.
So they're on a calendar year, $220 million, up from $147 million the year before.
Yep.
Just over 50% revenue growth of memory serves.
and that is a number that I think we should hold on to because if you look at the company's administrative expenses, which in the U.S., we would call operating costs, the company spent less money this year than I did last year.
This goes back to our theme about static team size and in general getting more out of people.
And so, Jason, 50% growth, more or less, a reduction in costs, a dramatic curtailment in their losses.
This company looks like it is going to be in reasonable shape to go public.
and it did, I think, begin to work on its perspectives earlier this year.
Now, the other thing...
So we're seeing the J-Cerve, to just do a callback,
the J-Curve, hey, you're investing, you're losing money,
the total losses in this business keep increasing,
but then the losses are slowing down
because the revenue is increasing.
So here, they dropped their spend in administrative expenses.
We're going to think that's, like, where the head count is,
10%.
While growing 50%, this is like a good recipe for,
lowering the loss and then eventually becoming a money printing machine. If they do this again,
if they grew 50% and cut costs another 10% static team size, they would be right there, right?
Yeah, absolutely. The thing, though, that I'll say is looking at this, I think it just goes to show
how much work some companies needed to do to shift from the ZERP mindset into now kind of what
we expect from companies that do want to list. Because the company had in 2022 147 million
revenue and their loss for the year was like $267 million.
That means they were spending over $400 against $147.
That's a pretty...
They were losing $20 million a month.
They were losing $5 million a week.
So let that sink in.
That's nearly a million dollars a day.
Yeah, that would be right.
Million dollars per business day, yeah.
I mean, there's 365 days in a year, 267 million in losses, yeah.
Yeah, and now it's down to just $500,000 a day.
But the point is their revenue is scaling faster.
So this is a company in transition looking to list.
And that's why I think it's a good twist 500 entry.
Lots of venture capital, multi-billion dollar valuation.
So I'll put it on the list.
Awesome.
And then I got one more really quick.
Before we go, the company called NEM N-Y-N-M, sorry.
And this company, the moment I heard about it during the production meeting today, I was all in because it's doing automated medical coding.
And if you have a spouse that works in the healthcare space, you know how big of a market this is.
Jason also a company called Epic does medical systems.
They're huge tons of spend here.
However, you heard about this and you went boring.
So I'm very curious why this company, which I think rules, didn't wrestle your films.
I mean, this is one of the great things about entrepreneurship.
I will meet founders sometimes and they were building something that would make me
wake up every morning and want to commit Sapuku.
I literally met a founder yesterday when I was at Austin City Limits.
Thanks to my friend Josh from Capital Factory for inviting me.
My daughter had a great time.
My wife had a great time.
Got to see Chapel Rhone.
And it was the largest large audience for Austin City Limits in history.
There were like close to 100,000 people listening to Pink Pony Club.
It was epic.
And the interesting thing about it, got a little insight information, is that they had booked
her last year before she broke out.
Oh, no way.
So they had booked her at, I don't want to be more exactly.
exact here because I got some what I think is inside information. It could be secondhand. But I think
they booked her at like maybe one seventh of her current price. But she honored that contract. So they
call this like planting seeds or something like that. They make these bets. It's almost like being
an investor. So, you know, they will make people the offers a year out and then some number of
them, you know, pop out and become, you know, really giant acts. And I was talking to guys said, well, why do you
that happens. It's like, yeah, you know, we don't really exactly know, but, you know, it's like,
you know, it just happens. It always happens in music. And I said, do you want to know what it happened?
He's like, hit me. And I was like, TikTok. I was like, Chaparone is the queen of TikTok. And TikTok,
and TikTok, with their algorithm, it doesn't have to spread like YouTube does where people
subscribe and views and thumbs up and comments feed the algorithm. And, you know, you hear from a
friend about Mr. Beast or, you know, whatever. TikTok, you, nobody goes to their subscribe page on
TikTok. It's the four you feed. So the four you feed, the algorithm has, I think, accelerated pop stars
ascension. And the person said, oh my God, that's exactly right. Because, you know, just like six
months ago, she was, and I don't know if any of this is true. So like people speculating around
a table after a couple of cocktails in the VIP lounge at Austin City Limits. But they were, it was
very interesting on a technological basis because, and an arbitrage basis, she had dates she had
set with very small venues, like 600 people, 1,000 people. You can cancel those. She has canceled
some shows recently, or so I think either she's upgrading or moving those shows over to larger
theaters, larger venues. And they said, you know, what they did do for Chappelotone at this event
was she was on like a secondary stage.
Yeah.
But because she had ascended so much, she was the second to closing act.
Tyler was the closing act.
Tyler came out after everybody left,
after Chaparone and was like, I just want to give a shout at Schappel.
She's amazing because she basically became the de facto headliner,
even though I'm sure on a price basis and on a stage basis and a billing basis, she was second
or third.
And you being Tyler, Tyler, the creator.
Yes.
Tyler the creator.
Huge fan.
Yes.
Yeah,
yeah, yeah.
So, you know,
we've got to see his set.
He also crushed it,
but, you know,
was like, I don't know,
70 to 100,000 people
for Chaparone and,
you know,
and maybe 20% left after Chaparone
to see him,
but it's still 50,000 people
watching him and he crushed.
Yeah, the TikTok effect,
that was so real.
And it even actually dribbles
down into more niche genres.
So there's a band called Bad Omen's,
and Bad Omen's if you're into metalcore
is a big deal.
They got really big off of TikTok.
And so suddenly everyone was,
like, oh, bad omens tickets went from like $20, like $160, their tours sold out instantly.
You know, it was just, it was insane to see the same motions, but so far away from pop,
so far away from country, all the way into people shouting at you metal, you know, it's, it's,
I love it.
I love to see more eyes on cool stuff, and shopper runs fantastic.
So you got to care for points.
Well, and here I'll just want to share with you, we made an investment in Chef Reactions,
who has 3.6 million followers.
And I fell in love with this guy, just asked him if he would pursue.
this full time. And so I literally, as an experiment, gave him 25K, which I like to do as my first
bet on really crazy ideas. And I said, hey, if you quit your job and you do this full time,
I'll give you 25K. This lunatic does it. Then he comes to our accelerator. I put another
125k in. He is making, you know, a multiple of his salary now, has two employees full time,
including himself. And all he does is reactions to people making food. Seems like a very, you know,
small concept, but this one has 8.3 million views.
What? Yeah. And he will give a live reaction. Now, this person, I don't have the sound on that you're
seeing, I don't want to get dinged with anything, but this person's put a non-safe tray on heat
and melting like 20 sticks of butter in it. And then he does his whole reaction to this. And he's just
like, how terrible is this dish? And then he rates it and says if he would try it. Anyway, I think
this person is amazing. And I think that there's going to be an entire genre of these people,
niche people, who then go on to do great things. He's had every major Thermidor,
Headley and Bennett, that make the beautiful aprons that you see on the bear, just to give you,
like, an idea of where he's gone with this business. Chef Reactions.
No. Had Headley Bennett crossover. And his joke is, like, would you try it on a scale of
what he tried on a scale of one to ten? That's like actually,
built into the Abram and you can like sort of switch it around. And here he is like as a spokesperson.
And, you know, he's got a little thing there that says work faster because that's one of his
big things. And he came to our liquidity like formerly known as Angel Summit event in Napa.
I think you met him. And he went to the Michelin store at restaurant French Laundry.
Yeah. They're all huge fans of his. They gave him his own custom menu when he went in there.
and he had this extraordinary experience.
And so what I love about these businesses,
when you look at direct-to-consumer businesses, Warby Parker,
eight-sleep, etc.,
you have to have a really unique product
in order to make those business work.
Businesses work.
Now, normal mattress companies,
maybe they can't make it work.
Eight sleep is like,
that's a whole different level of like sleep optimization
for quantified cell.
They figured it out.
But, you know, you have to spend a lot of money on distribution.
Mr. Beast, Feastables,
no money spent on distribution.
Chef Reactions, no money spent on distribution.
Zero.
So he's got a new product coming out.
I won't say what it is, but it's a really cool product, and he's going to sell it
direct, and I think this will be one of our great companies of all time.
And I'm looking for more influencers who have low millions, but who do not know how to build
the business or who have never done entrepreneurship to come to Founder University.
We're doing our ninth cohort.
Go to founder.
at University, or you can DM me anytime. I'm at Jason on TwitterX, at Jason on Instagram,
and just email me. Jason at calicanus.com, my email for life. I'm always looking to meet more
founders and do more crazy investments like this at the precede year zero before you would ever go
to Y Combinator or Techstar as your launch accelerate. Year zero investments are not even incorporated
yet. Hit me up. I love that story because, one, I now better understand the thesis behind the
chef reactions bet that you made. But also, I really wish that when I was playing poker and
he was sitting roughly three inches behind me.
And I was too busy to, I'm like, oh, it's that chef guy.
Okay.
And then I just kind of kept playing cards.
I should have just stopped and spent time with them.
We got to wrap Jason really quickly, though, in the Twist 500 vein, I'm going to add
names because I think it's really important.
But also, there's so many cool companies out there.
So some more names that I'm looking at to add.
I'll tell you about it next time we chat.
But ExoWat, Fervo Energy, Polymarket, we all know, cobald metals, and merge API,
who I'm trying to get on the show.
So there's so much going on.
It's very exciting.
More live news, everybody,
coming your way.
All right, everybody.
This has been another amazing episode
of this week in startups.
That's my guy, Alex Wilhelm.
Please go pay a hundee for cautious optimism.
dot news.
It's fantastic.
And I'm Jason.
We found a temporary office in Austin.
Now I'm just looking for an event space.
And if you have a building for sale,
that would be a good place for me to do podcasts out of and have small events.
Austin at launch.co.
Just share the building with me
and I'll see you all next time
on this being starts.
Bye bye.
See you.
