0:00 Now 0 to one is very likely an AI. You
0:02 build an incredible tool that no one
0:04 else can do. You can do a million in a
0:06 week or
0:06 [Music]
0:12 two, you know. Okay. So for this
0:14 episode, what I'm thinking this is about
0:16 is this is sort of um and guys, this is
0:19 going to be generous to us, but what is
0:21 the smart money doing with AI? And you
0:24 know, in betting and sports betting in
0:25 Vegas, you always kind of want to watch
0:27 what are the sharps doing? they tend to
0:29 be just you know maybe 10 or 15 percent
0:31 earlier to to to understanding things or
0:33 to recognizing things and so similarly
0:36 uh Jason wanted you on because you've
0:37 been doing really interesting stuff with
0:38 AI both from investing you're talking to
0:40 startups that are using them you're
0:42 reading all the reports but also you
0:44 yourself built this AI tool and so I
0:46 want to kind of get your reaction to a
0:48 few of the different things can you
0:50 first explain this AI experiment you did
0:52 where you basically made a body double
0:54 of yourself out of AI and like what was
0:56 the experiment and what'd you
0:58 Well, yeah. So, so Saster has a lot of
1:00 content as you guys know. We have 12
1:01 years of content. Some of it's out of
1:03 date, right? For for sure. Saster being
1:05 um you're a previous founder who's
1:07 exited multiple software companies. Now,
1:09 you're like the godfather of like SAS
1:11 because you have this blog and media
1:12 company and events business called
1:14 Saster and you have a huge fund. So,
1:16 that's kind of the But probably most
1:18 interestingly for for like seeing the
1:20 future a little bit is I have about
1:23 10,000 pieces of content I've written
1:25 over the years. a lot of it which is not
1:27 out of date and I update it personally.
1:28 So about 10,000 pieces of content and
1:31 then we have several thousand interviews
1:34 like you guys do but with so many great
1:35 folks early ones with Darmsh ones from
1:37 Daresh. Daresh when when HubSpot had
1:39 just IPOed Darmsh the other day Yamine
1:42 last week Brian Halagan over the years
1:44 and we have all of it in RAI took
1:46 everything I've written every tweet I've
1:48 ever done every LinkedIn post every
1:50 Saster video from every speaker for 12
1:53 years. Aaron Levy the week he went IPO
1:55 for the first Astra annual to last week
1:57 when we were talking about AI, all of it
1:59 ingested in this AI. And so what I
2:02 instantly saw was as soon as I would
2:04 talk to this AI, it was much better than
2:07 me. It was much better than me because I
2:10 forget. How did you get that information
2:12 in there? You just hook up RSS, right?
2:14 Um the feed for blog. It can scrape the
2:17 web, which is pretty easy. Soon we'll be
2:19 able to do other things like MCB, but
2:20 it's just scraping APIs and RSS. It's
2:23 really just scraping. You just give a
2:24 URL. But did you use like Dely or you
2:27 you built your own tool or what did you
2:28 do? I tried a couple things and then I
2:30 used Deli and then at first we had so
2:32 much content it was a little difficult
2:34 to ingest it. So there is there is a
2:36 little bit of work and then I spend
2:38 about 10 minutes a day training it which
2:41 we could talk about. So there is a
2:42 little bit of maintenance involved but
2:44 it's better than me. And the thing I
2:47 didn't get until I saw something that
2:48 was hyperrained, like this is a lot of
2:50 content, 20 million words, right? Very
2:53 few mistakes, very few hallucinations,
2:56 and the ability to connect things that I
2:58 can't. I just don't remember. I don't
3:00 remember what Sam and I said on the
3:01 hustle on stage years ago versus when we
3:04 did an MFM a while versus today. But the
3:07 AI knows it all. By the way, 20 million
3:09 words is like 200 books worth of
3:12 content. Average book, I think, is like
3:14 100,000 words. So 20 million words
3:15 you're saying is you basically gave it
3:17 20 200 books of your own brain uh and
3:20 the brains of other guests that have
3:22 come on your show. Yes. And your goal
3:24 was to build was it to build basically
3:26 an adviser an AI version of you that
3:28 could be an adviser to a founder who
3:30 wants to come and talk to you, ask
3:31 questions, but you don't have enough
3:32 time in the day to book calls. Was that
3:34 the big idea? I just wanted to learn
3:36 like you guys did. I just wanted to
3:37 learn. I didn't think it would be as
3:38 good as it was because I used other
3:40 products and I've used other things and
3:42 it wasn't as good as my my digital AI
3:46 was. It was the use case would be what
3:48 is it? What I said or is there something
3:49 else? The other interesting thing is the
3:52 use cases with AI are much broader than
3:53 you'd expect. Okay. So, I didn't expect
3:57 people to upload their board decks
3:59 before board meetings and ask for
4:00 feedback before board meeting. That's a
4:01 niche use case. I didn't expect hundreds
4:04 and hundreds of founders to use it as
4:05 their therapists for their company where
4:07 the growth has slowed. I didn't expect
4:09 that. I didn't expect so many folks to
4:11 use it to review their um sales scripts,
4:14 their SDI scripts when there's when
4:16 there's specific tools to do it, right?
4:18 I didn't expect it's so good at
4:20 reviewing VC pitch decks. It's so good
4:23 at it. Better than anything I've seen.
4:25 Can you get tactical for one second? So,
4:27 you go to deli.ai AIH and you just
4:31 uploaded the Sasters RSS feed and it did
4:34 all of the work. You YouTube RSS,
4:37 Twitter, um, blog, but but could I go to
4:41 a health guru or a business guru who I
4:43 uh, subscribe to, who I love, can I say
4:47 YouTube.com/allexerosi upload that and
4:50 it automatically does it? Is this Well,
4:51 it's an interesting question. It is
4:52 prohibited, right? It is prohibited by
4:54 their website, their terms of use. They
4:56 prohibit it. But honestly, this is an AI
4:58 risk. You could you could do it.
5:00 Absolutely. You could do it. You could
5:01 redo what I did. It might take you a
5:03 little while longer, but you could just
5:04 clone exactly
5:06 myself and then you would you could do
5:08 it just as well as I did. Sam, I've
5:10 never felt so used and abused when uh uh
5:13 Jasm came on the podcast and she was
5:15 like, "Yeah, actually I have my team
5:17 training an AI of you so that if I'm
5:19 brainstorming ideas, I don't have to
5:21 ever call you. I'll just ask the AI what
5:22 you know, basically you'll just be in
5:24 the meeting with us." Yeah. She's like,
5:26 "We, yeah, we just took all the podcasts
5:27 and we're training it on how you think,
5:29 the questions you would ask, what you
5:30 would say, reactions you would give, and
5:33 now you're just there in the meeting."
5:34 So, she basically hired me without ever
5:36 paying me, right? Because I have this
5:38 corpus of content out there. I've
5:39 actually put my brain out there in the
5:41 public. But how do I do that? Like, how
5:42 can can I just upload a YouTube channel
5:45 and say this YouTube creator has great
5:47 advice and I can upload 800 videos and
5:50 it will transcribe all of them? I could
5:51 go to Deli. It may take a a day or two
5:54 to fully ingest all that content, but it
5:56 will do it just from the URL of your
5:57 YouTube just on deli.ai. So, I could I
6:00 could make I actually I think it is a
6:02 great product. There are other people
6:03 that can do it too that is not there are
6:05 some I'll tell you what I think is
6:06 interesting about Deli, but we're
6:08 looking at all this cursor and windsurf
6:10 stuff and lovable and like you don't
6:12 realize like they're just so far ahead
6:14 of like B2B and regular people only
6:16 because they're better people working on
6:18 them. If we had the quality of people
6:20 working at Windsurf, working on on CRM,
6:23 okay, or working on marketing tools or
6:26 podcasting tools, your jaw would drop
6:28 today. But this is why your jaw is going
6:30 to drop over the next 24 months because
6:32 just mediocre engineers cannot like the
6:35 the engineers at OpenAI are so good.
6:37 They're just so good. And so, but the
6:40 average engineer working at a struggling
6:41 CRM, right, is just not just not that
6:44 that good. But they'll catch up. But
6:46 yeah, you can build all of this. And
6:47 here's the interesting learning. So we
6:49 could build a digital SAM and and we
6:50 could do this for next week or whatever.
6:52 You can do it. The my learning from IIA
6:55 it's okay that it's not you. This is why
6:57 for example you can train your voice. It
6:59 uses level 11. Is that the product or I
7:01 get a little confused. Level 11, right?
7:03 11 Labs. 11 Labs. Yeah. 11 Labs. And
7:05 Level Labs is epic, right? But you can
7:07 choose. Do you want it to be exactly
7:09 like you? Which is what Brian Hagan did.
7:11 And then I realized that was creepy. I
7:13 don't want Digital Jason to be me. I
7:17 want digital Jason to be a prime version
7:18 of me that 90% of the time is much
7:21 better than me but is distinct. I don't
7:23 want people confused like Brian. I get
7:25 conf like Brian Hallagan. And so um it's
7:28 okay that it's not Sam. Like it could be
7:31 a version of Sam that is better than
7:33 Sam. All right. A few episodes ago I
7:36 talked about something and I got
7:38 thousands of messages asking me to go
7:40 deeper and to explain and that's what
7:42 I'm about to do. So, I told you guys how
7:43 I use chat GBT as a life coach or a
7:46 thought partner. And what I did was I
7:49 uploaded all types of amazing
7:51 information. So, I uploaded my personal
7:52 finances, my net worth, my goals,
7:56 different books that I like, issues
7:58 going on in my personal life and
7:59 businesses. I uploaded so much
8:01 information. And so, the output is that
8:03 I have this GPT that I can ask questions
8:06 that I'm having issues with in my life,
8:08 like, how should I respond to this
8:10 email? What's the right decision?
8:12 knowing that, you know, my goals for the
8:14 future, things like that. And so I
8:15 worked with HubSpot to put together a
8:17 step-by-step process showing the
8:19 audience, showing you the software that
8:21 I use to make this, the information that
8:23 I had chat GBT ask me, all this stuff.
8:26 So, it's super easy for you to use. And
8:28 like I said, I use this like 10 or 20
8:29 times a day. It's literally changed my
8:31 life. And so, if you want that, it's
8:33 free. There's a link below. Just click
8:34 it, enter your email, and we will send
8:36 you everything you need to know to set
8:37 this up in just about 20 minutes. and
8:39 I'll show you how I use it again 10 to
8:42 20 times a day. Um, all right. So, check
8:44 it out. The link is below in the
8:45 description. Back to the episode.
8:49 So, okay, let's walk let's walk through
8:50 these top 10 learnings. So, you build
8:52 this AI. Uh, it has 35,000 conversations
8:54 with people. You did it as almost 50
8:57 now. Yeah. 50,000 conversations. And
8:59 learning number one, you said users will
9:01 tell AI things that they won't tell
9:03 humans. What do you mean? Yeah. Um,
9:06 well, first of all, before we can get
9:07 there, one obvious like there's no way I
9:09 could do 50,000 conversations, is there?
9:12 Right? I'm not even a people person. I
9:15 could do like one or two a day and I get
9:17 tired. 50 thou just think about the
9:19 delta between two a day and 50,000. But
9:22 yeah, this is the thing like there are
9:24 some things that are somewhat unique
9:26 about me that are early. The amount of
9:27 content Sean like your math, right? The
9:28 amount of books we're talking about
9:30 here, right? the amount of content I've
9:31 written just about B2B, just about bis,
9:33 building business software makes it
9:35 interesting. The other thing is there's
9:37 enough people, I'm not like a super
9:39 influencer like you guys are, but
9:41 there's enough people that know the
9:42 digital me that they already know what
9:43 to ask me, right? They've already
9:44 watched me in an event. They've read the
9:46 content. So, like they ask me things
9:49 without thinking it's a prompt or
9:51 prompted. They just ask things they want
9:53 to talk about their deepest fears. Like,
9:55 I I've partnered with Sam on this
9:56 podcast, but I'm not sure he's committed
9:58 as me. I see him doing other things.
10:00 He's into this accounting software and
10:02 this Hampton's thing. I'm worried he'll
10:03 quit my podcast on me. What do I do? And
10:05 my AI is really good with talking that
10:07 through you. Right. And so people just
10:08 think to ask me things all this Sam. Hey
10:12 Jason to the heart there. Jason, you
10:13 think it's funny, but like you might ask
10:15 Hey, Jason. Jason, how about you shut
10:17 up?
10:18 Well, now you But there there are
10:20 thousands of these types of
10:21 conversations. My co-founder is not as
10:23 comm I don't know if my board's going to
10:25 fire me, right? I is is I'm only growing
10:27 18%. I have 11 months of runway. Right.
10:30 Were you Zuckerberging here? How do you
10:31 know what they were saying? Was there
10:32 some privacy here? How do you know
10:34 what's what's being said? It is
10:35 interesting. And on this app, you can
10:37 set how much privacy you want. You can
10:39 anonymize everything. Well, you can. No,
10:42 because there's different use cases. If
10:43 you're using it as a support tool, think
10:45 about it using as a support tool. You
10:46 don't want anonymity for support. How
10:48 can you follow up with someone? Right.
10:50 Right. Then there's like a therapy level
10:52 where you would want true anonymity. And
10:53 then there's like a sl everything's a
10:55 slider in AI in in a sense, right? I
10:57 think that like you said the therapy
10:58 thing as if it's like can you believe
11:00 that? And I'm like dude I use open chat
11:05 for therapy 3 hours a day. Yeah. Well,
11:07 everyone does. Like the majority of I'm
11:09 like this email pissed me off. How do I
11:12 reply in a graceful way? Or like I
11:14 argued with my wife or I'm upset about
11:17 that I'm not doing this. Like the other
11:20 day on Sunday, I saw someone who had a
11:22 super fancy home and I was like, "How do
11:23 I get over envy?" You know what I mean?
11:26 Like like that's all I use it for. It
11:28 is. And this is the same thing. It's
11:30 just because it's got the 20 million
11:32 words
11:33 for businessto business content, sales
11:36 content, scaling revenue. It's It turns
11:38 out this, and this was a surprise to me.
11:39 I didn't believe this. It's better much
11:41 better than chat GBT. It's much better.
11:44 And you you you said something like you
11:46 trained it afterwards. Can you just what
11:48 what do you mean by that? Well, how did
11:50 you train it afterwards? Well, listen.
11:51 I'm going to embarrass myself
11:52 technically. Okay, but basically those
11:54 20,000 words it you basically rag it.
11:57 Okay, you vector 20 million 20 million
11:59 take 20 million words of my content. You
12:01 turn it into a a very a database instead
12:04 of and and you just add that to chat GBT
12:07 or Claude or DeepSync. And the way you
12:10 add it and the relative weights of my
12:12 content versus the generic content
12:14 radically changes the output. Like chat
12:16 GBT never asked my permission. And it's
12:17 already slurped up all my content,
12:18 hasn't it? Every single YouTube is in
12:20 chat GBT. Everything I've written, I
12:22 haven't been paid a nickel. So, what's
12:24 interesting is that content's already
12:25 there, but by weight by heavily
12:27 weighting it toward my content for my
12:30 type of knowledge, it's much it's not a
12:33 little bit better than Chad GBT. It's
12:34 like much better, right? How do I how do
12:37 I create a sales comp plan? I have four
12:39 SDRs and five AES. uh our a our average
12:43 deal size is 2K a year and we want to go
12:45 from 2 million to 6 million next year
12:47 and and my team won't really do outbound
12:49 chatb is going to give you a very
12:50 mediocre answer but my AI is going to
12:53 give you insanely good answers even
12:55 though overall we're pulling from the
12:56 same content right and so you you had to
12:59 do that manually was that the training
13:01 or did you do more did you do more
13:02 training than just that well first of
13:04 all it auto updates every day which is
13:07 better than chat GBT or claude it auto
13:09 updates every day it slurps up
13:10 everything on my blog, on my social
13:13 media, on my YouTube every single day.
13:14 It does it essentially almost in real
13:16 time. Okay? And then yeah, you it does
13:18 it itself. It auto updates. Now, what I
13:20 do do, here's what I do do is, and I'll
13:23 tell you my learnings on my
13:24 hallucinations, okay? I audit a few of
13:26 them. I read some and I see if they're
13:28 wrong, right? I see if the ones that are
13:30 that are not anonymous, if they're
13:32 wrong. And when I see something that's
13:33 wrong, and I'll tell you what I learned
13:35 if you're interested, then I there's a
13:37 section where I just train it, right?
13:38 And I say, "No." Um, Sam and I first met
13:41 in 2014 16 after I wrote a Corora post
13:45 and he had me do a a meet up at the
13:47 hustle. Okay? Because it got it wrong.
13:48 It made something up. Okay? So, I do I
13:51 do that for about 10 or 15 minutes a
13:52 day. And it turns out it doesn't get
13:54 very many things wrong. And the things
13:56 it does, it consistently gets wrong. And
13:57 I'll tell you why. And then I just fix
13:59 it. And the next day it's right. The ne
14:01 if you do nothing and you don't train it
14:03 and you put no content in. Yeah. this B
14:05 this this average VP of sales is going
14:08 to say it doesn't work you know I I
14:10 logged into chat GPT a year ago and it
14:12 hallucinated like you're going to lose
14:13 your job but the hard the hard part here
14:16 is like so I'm so committed to chat GPT
14:18 so it it it knows so much of my
14:20 information because we've had so many
14:21 conversations it does are we all going
14:24 to have like files you know like our
14:26 health record where it's like uh you
14:27 know my the background because it sounds
14:29 like I get nervous to switch to any
14:31 other model because I'm like h chatbt
14:33 I've already asked it so many questions
14:34 it already knows everything. It's an
14:36 interesting question. Here's what I've
14:37 learned. First of all, memory is a big
14:38 deal, right? Chat could already remember
14:40 questions, but now it's remembering
14:41 everything. Okay. So, so it's a moat
14:44 from the top folks I've worked with on
14:46 this. There's on the one hand, it's a
14:48 it's a moat just like being in the
14:50 Google ecosystem is a moat just like
14:51 back being back in the day being in the
14:52 Yahoo ecosystem was a moat. Okay. But
14:55 the mode is not as deep as we think. Our
14:57 ability to get to get trained and up to
14:59 speed does not require 20 million words.
15:02 So yes, it is a moat, but if you decided
15:04 Claude was much better for you and you
15:05 the point is and you spent a month just
15:08 including your day each day, you you're
15:10 probably there. You're not not 100%.
15:12 It's enough. It doesn't Somebody had a
15:14 good startup idea. I think it was Aaron
15:16 Levy or some somebody was tweeting this.
15:17 They they were talking about Plaid for
15:18 AI tools. So basically, you'd be able to
15:20 just like the way Plaid lets you connect
15:22 your bank safely to any financial
15:25 service to be able to take your kind of
15:27 memory and context what what Chat GPT
15:29 knows about you, but port that to some
15:32 new app that you're trying without
15:34 without handing over everything, but
15:35 allow it to pull from that. And I was
15:37 like, "Oh, that's a that's actually a
15:38 very interesting idea." If apps will
15:40 even exist in the future, well, what
15:42 will exist instead of apps? Why? We're
15:45 going through a transition phase, right?
15:46 We're going through now we're chatting
15:48 once again. And we've been chatting
15:49 since the ICQ days, okay? Since AOL,
15:52 we've been chatting at our keyboards
15:53 with people. Now with AI, we're chatting
15:55 again. Okay. Uh but we're starting to
15:57 not even know where we're chatting with.
15:59 Right. Right now already like MCP is
16:01 new, but already today, OpenAI and
16:03 Claude can pull from other apps like
16:05 HubSpot and others and and Notion and
16:08 just pull the data out. I don't have to
16:09 go to Notion or even Google Calendar or
16:11 HubSpot anymore. Right. Right. As we
16:13 live in this and then, you know, people
16:15 think this Johnny thing for six
16:17 billion's crazy. It's a great bet
16:19 because we're going to go from 20
16:20 minutes a day, 22 minutes a day in chat
16:22 GBT to 24 hours a day in chat GBT. And
16:26 when we're in chat GBD, 24 hours a day,
16:27 we're not going to like pull up a CRM.
16:31 We're not going to use the interfaces
16:32 like these interfaces are all already
16:35 dying. You can see it, Sam. And the
16:36 amount of time you spend in GPT, like
16:38 then go to like a B2B app. You're
16:40 pulling your hair out. It's so dated,
16:42 isn't it? Yeah. It's so dated already.
16:44 Hey, it's only 2025 and it's already
16:46 dated to go to any B2B app. They're all
16:48 going to die. How does the excitement
16:50 and rate of change right now compared to
16:53 I don't remember if you were involved in
16:55 99 in the year 2000, but you you were
16:59 close, right? Yeah. I was a kid. It was
17:01 my first job back then. So, h how's the
17:05 because everyone talks about the dot
17:06 boom and I um I never got to I mean, I
17:08 never experienced it, but how's this
17:10 how's this today compared to then? Those
17:12 days were the f were the first time
17:13 until AI where people feel like they
17:15 could just do something out of nothing.
17:16 Like it was miraculous. It was
17:18 miraculous and that is what AI is like
17:19 today. People are just doing miraculous
17:21 things and it's exciting but man it's
17:24 super scary for incumbents. It's super
17:26 scary for incumbents. Do you think that
17:28 everybody who is maybe a content creator
17:31 at least um is going to have this sort
17:33 of like this stunt double this this
17:35 intellectual stunt double the way that
17:37 you created here? Do you see once you've
17:38 did this experiment are you like this is
17:40 the future or this was novel but no I
17:43 don't think it's going to last like you
17:44 know where where's your where did you
17:45 land after the experiment I well first
17:48 of all what I think I'm not a consumer
17:50 content creator I don't think anyone is
17:52 going to create content without AI going
17:54 forward and the tools are going to
17:56 change um like for example just for for
17:58 our last big SAS event like I did all
18:00 the speaker promos in Higsfield. Have
18:02 you ever used Higsfield? No. It's
18:04 incredible. How do you spell that?
18:06 Higsfield.A. It's the ex- head of AI
18:08 from Snap. It's one of the coolest apps
18:10 on planet Earth. Everyone's talking
18:11 about this new Google video thing,
18:13 right? But they were already doing it.
18:14 Higsfield. All you have to do to
18:16 higfield.ai is I can take a screenshot
18:18 of us right now. I'll put it in
18:20 Higsfield and it will create a movie out
18:21 of it. Okay? And it will and you can and
18:24 there's a lot of different ways, but
18:24 there's a really simple way you can do
18:25 it. You can take an initial photo and an
18:28 end photo and it will just connect them
18:29 with a narrative. So I had like I would
18:32 take like a picture of Yamin just off
18:33 her head shot off HubSpot and then take
18:36 a picture of like a stage at Saster and
18:37 it would just make a video of of Yamin
18:39 waving to the crowd and running on stage
18:40 on Saster and being excited. And so a
18:43 year ago all the all the digital promos
18:45 were a static, you know, a classic
18:47 static head shot with some chrome around
18:49 it. Today everyone got a video a really
18:51 cool video, right? Next year it will be
18:54 me and Yam talking for 10 minutes about
18:56 AI and neither of us will have had the
18:58 conversation.
18:59 It doesn't mean I won't exist, but of
19:01 course that's already come. We could
19:03 already almost do that. But I did all
19:04 these things now. I did instead of
19:05 waiting for our designer two months to
19:08 do a static uh thing and uploaded to
19:10 Dropbox and me forget where it was and
19:12 lose the URL and have to do it. Now I
19:14 just did it myself in Higsfield in like
19:15 10
19:16 seconds. So I'm looking at Higsfield.
19:18 This is this is insane. It's beyond
19:20 cool. It's so good. So good. This is the
19:23 This is why AI is exciting because the
19:25 really badass people can do crazy stuff
19:28 now. It used to take a badass person
19:30 like 6 months to do a prototype and then
19:32 two years to get it good. Now someone
19:34 epic like the ex head of AI and Snap can
19:36 like what you can do at Hicksfield will
19:38 blow your mind. Right, dude. I can even
19:39 tell just why the way you're talking. I
19:41 feel like if we did the same podcast,
19:42 you know, 5 years ago, your rate of
19:45 talking would have been like 10 beats
19:46 per minute lower. Even ago, there's like
19:48 a baseline level of excitement that has
19:50 just risen. Like our new blood pressure
19:52 is here. Well, as long as I've known
19:54 Jason, you were borderline grumpy. Like
19:57 you were pissed. You were pissed off all
19:59 the time. Like am I Yeah. Yeah. Yeah.
20:01 Yeah. You were like look like I remember
20:04 you you weren't tired but you were you
20:06 were tired of people asking you dumb
20:08 [ __ ] because you always had this you had
20:10 this energy of you where you were like
20:12 talking to someone and you're like
20:13 you're making a mistake. Stop this.
20:15 You're making a mistake. You had like
20:16 this like almost anger in you. Now it's
20:18 the exact opposite. Now you're you're
20:19 optimistic. I am. I am. You're right. I
20:22 I I'd like to think of differently but
20:24 you're probably right. the way you
20:26 perceive me is is important. Um it it is
20:28 I am very optimistic about it. But the
20:30 difference is I used to think all these
20:32 products were durable that they were
20:35 durable. Now I don't think any of them
20:36 are durable. So what's that mean? When I
20:38 first started doing this Saster content,
20:40 I made up this expression which I stole
20:42 from the mayor of Tel Aviv and people
20:43 have used it ever since. 0 to 1 million
20:45 in revenue impossible. We don't need
20:47 another product. Okay. 1 to 10 million
20:49 in revenue unlikely. Like there's so
20:51 much competition. 10 to 100 million
20:53 inevitable from impossible to
20:55 inevitable. We had a book that sold a
20:56 couple hundred thousand copies that was
20:58 his theme. So you go this stage because
21:00 what I learned as a B2B founder you're
21:02 saying get getting from zero to a
21:04 million is really really hard. Getting
21:06 from 1 to 10 feels impossible but once
21:08 you're at 10 unlikely but once you get
21:10 to 10 it's inevitable to get to 100. If
21:13 you had good founders it was a punch
21:15 card. Now it's disrupted. Now 0 to one
21:17 is very likely an AI. Like it's like you
21:19 build an incredible tool that no one
21:21 else can do. You can do a million in a
21:23 week or two, but like now everyone
21:25 beyond 100 million is getting disrupted.
21:27 There's so many software companies at
21:29 100 to 200 to 300 million in revenue
21:31 that aren't growing anymore. It never
21:33 used to happen four or five years ago.
21:35 Like you hit your punch guard. You had
21:37 120% revenue retention and you had a
21:40 brand. All you needed was a brand and
21:41 revenue retention and products changing
21:43 about every five years.
21:46 Right? If the product changed every 5
21:48 years and you had a brand and tens of
21:50 millions of revenue that mean you meant
21:51 you had product market fit, right? High
21:54 re like high NR meant it kept going as
21:57 an engine and this this 120 130% revenue
22:00 retention engine just kept going. It
22:01 took you from 20 to 30 to 50 to 100 and
22:04 it was like and that's why you know in
22:07 in in you know this is crazy in 2020
22:09 2021 the average public SAS company
22:11 traded at 70x ARR public in 2021 it's
22:15 it's almost imag unimaginable today when
22:17 it's at five right but it's because it
22:19 worked then like everything just worked
22:21 and now you know I I you know octa
22:23 growing 10% Salesforce growing 7% like
22:26 the they're good companies but it's not
22:28 durable the way it once was. So are
22:31 those companies I my premise or what I
22:34 thought and what Morgan Stanley I
22:35 thought because Morgan Stanley had this
22:36 report which who the gives a [ __ ] about
22:38 Morgan Stanley but they said that the
22:40 majority of uh value creation in terms
22:43 of market cap for uh AI is going to be
22:46 the big companies using AI to get better
22:49 versus new AI companies. Do you disagree
22:52 with that?
22:53 I think
22:55 that right now today as we record this
22:58 there's a hint of truth to it and and um
23:01 but Salesforce is not accelerating.
23:03 Okay, Octa is not accelerating. Lots of
23:05 folks are not accelerating. Service Now
23:08 has a lot of AI but it already had
23:10 workflows that were automation. So
23:12 people say that and there's there's
23:14 there's there's some there's qualitative
23:16 proof of it but we haven't seen it in
23:17 the numbers. Okay. So there's a window
23:20 for the big guys to leverage this
23:22 because the the interface that we talked
23:24 about is dying. People are not going to
23:26 want to use these dated interfaces
23:28 anymore. So even if it is benefiting the
23:30 big guys today, um what is the value of
23:35 of a CRM if I don't you log into the app
23:38 anymore? If I just talk to to chat GBT
23:40 and I say give me the 10 deals I have to
23:42 work on this
23:43 week. Like how valuable is one CRM over
23:46 another? or will I even know I have a
23:48 CRM? Like it just becomes plumbing in a
23:50 database. Here's one problem. Let's step
23:53 back and I'll one problem with AI. One
23:54 problem with AI is there's been too much
23:57 nerdy nomomenclature the last year. Too
23:59 many O4s, minis, 03 maxis, ll. Dude,
24:04 it's so complicated. It's like it's like
24:06 knowing the difference between an iPhone
24:08 13 and an iPhone 14. It's all that's all
24:10 going away this year. It's all that
24:12 complexity made sense. As crazy as these
24:15 numbers are, Enthropic went from 1 to 3
24:17 billion in revenue in 5 months. They
24:18 just announced 1 to 3 billion in revenue
24:20 in 5 months. Okay? And that is basically
24:23 all infrastructure plumbing revenue.
24:25 Okay? So when the inf when in the area
24:27 of infrastructure, you need to know the
24:28 difference between the models and R1 and
24:30 this. We're just starting the
24:32 application age. And in the application
24:33 age, we don't we won't care what models
24:36 HubSpot uses. We don't even HubSpot
24:38 already has a lot of AI. Do you know
24:38 what models it use? You don't care,
24:40 right? You don't care. So, so, so these
24:42 nerdy terms are going to fall away. But
24:44 what M, think of MCP as the next
24:46 generation API. And what MCP does is it
24:49 lets any AI or others talk to
24:52 applications without having to with
24:54 right inside of the AI. So, right now,
24:57 if you go to now this it's just rolling
24:59 out, but if you go to uh and you set it
25:01 up properly, and it's still a little
25:02 nerdy, okay, but right now from chat
25:04 GBD, you can change your Google
25:05 calendar. You can work with notion. Tell
25:07 me how you connect it with M. You just
25:10 it well I could I can't quite do it with
25:12 you on online. Maybe in two months it's
25:14 literally when you owe off in it will do
25:15 it automatically but I can show you
25:16 offline. You just connect it to your
25:18 Google calendar and then there the it's
25:21 still a little bit of a headache around
25:23 authentication and security like there's
25:25 a little bit of magic to go but not much
25:28 and then you can just talk to your
25:29 calendar and chat and hubspot has
25:31 announced this. So Dash is but what are
25:34 you using to connect the two? So MCP is
25:37 a protocol right? So it's like a
25:38 language. Imagine this, right? Like um
25:41 you know we have English, we have
25:42 Spanish. Then when the internet browser
25:44 came out was like, "Hey, there's a new
25:45 language. We're going to call it HTML."
25:47 And you got to learn that language if
25:48 you want to tell the browser what to do,
25:50 how to show a web page, right? So now
25:51 MCP is a new language that came out that
25:53 was basically saying, "Hey, if you're
25:55 one AI app and you want to talk to
25:56 another application, how are they
25:59 supposed to talk to each other?" MCP
26:01 became a protocol that now any app who
26:03 wants to be like yo if like HubSpot for
26:05 example they want all the AI tools to be
26:08 using to be integrating in with HubSpot
26:09 but they don't want to one by one go
26:11 work out a deal and do a technical
26:13 integration with each one so they say oh
26:15 cool we'll we'll also speak MCP we we we
26:17 understand that language we know how to
26:19 do that just kind right it's basically
26:20 like how APIs work for for most websites
26:22 but MCP is like the AI specific version
26:25 of that but right now to integrate with
26:26 and I haven't ever used HubSpot's API
26:28 but I I I'm sure It's a great one, but
26:30 but that is bespoke. Like each one is
26:32 different. HubSpot's API is different
26:34 than Salesforce and notion and linear.
26:36 You have to learn it. You have to get a
26:38 key. You have to code to it. You have to
26:40 understand its nuances. It's a lot of
26:42 work, right? Like you you may know
26:44 startups, you think you're like, why
26:46 don't you have a HubSpot integration?
26:47 Well, because it's work, right? With
26:49 MCP, it's early, but it's just starting.
26:51 It won't be any work. You just tell MCP
26:53 to go talk to HubSpot or go talk to
26:54 Notion, and it will just do it, and all
26:56 that work goes away. So, if your AI can
26:59 talk to any app you use, take all the
27:01 data out, and let you talk as a human,
27:04 for 99% of the world, we won't use
27:06 HubSpot like the way we use it today.
27:08 There's no reason to log into this app,
27:10 figure it out, like how does the UI
27:13 work, what are these tabs, how do I
27:15 configure a tab? And and the kids these
27:18 days will never know this. Like, this
27:20 generation coming up, they will never
27:22 use software like we use it. They will
27:24 never use it. What are what's the office
27:26 of open AAI like right now? Because
27:28 you're saying like, well, it sucks right
27:30 now, but in 60 days it's going to be the
27:33 best, which um is insane. So, how many
27:35 people work at OpenAI right now? And
27:37 actually, Sean, for you as well, have
27:39 you guys been to the office? What's it
27:40 like there? What's it like at that
27:42 office right now if they're able to do
27:44 all these things so fast? Uh, I think it
27:46 looks like they have about 4,500
27:48 employees. I'll tell you what's super
27:50 interesting. They only have about 60%
27:52 employee retention over two years
27:54 because what? Everyone's going and doing
27:55 their own thing probably. But it's just
27:58 crazy. Like if OpenAI only has 60% team
28:01 retention, what's your hope to keep your
28:02 your AI team? You better treat them
28:04 really
28:06 well. So I have a friend who told me
28:09 about the early days of Twitter and he
28:11 basically he had built a company. He was
28:13 like scraping Twitter and he was like,
28:14 "Oh, this is cool. If based on what
28:16 people are saying, I could figure out
28:18 what's actually trending in the world."
28:20 And the way he did it was he was like,
28:21 you know, if people people always talk
28:23 about New York, so if it's if I hear New
28:25 York a thousand times, that doesn't
28:26 actually mean New York is trending. It
28:27 just means New York's already big. But
28:29 if suddenly everybody's talking about
28:31 Tallahassee, well, Tallahassee doesn't
28:33 normally get talked about that much, but
28:34 it's being talked about as much as New
28:36 York, that means it's trending. And so
28:37 he had a separate site that was trying
28:39 to figure out what are the trends on
28:40 Twitter. Now, this they ended up getting
28:42 bought by Twitter, and that's now what
28:44 if you go on Twitter, Twitter as
28:45 trending, right? So my friend Abdur was
28:47 des I was like, what was it like in
28:48 those days? And he was like, I thought I
28:52 knew what a startup was. I thought and
28:53 and I this I related to this so much.
28:55 He's like, basically, I thought a
28:56 startup was I wake up every day and I
28:59 got to go try to get some growth and I'm
29:00 pushing I'm pushing I'm pushing the
29:02 product forward. I'm pushing the
29:03 marketing forward. I'm pushing my
29:04 product out into the market. Push, push,
29:06 push. He goes, then imagine like, you
29:09 know, you think you're pushing and then
29:10 suddenly you're pushing a boulder up a
29:12 mountain and you look up and there's a
29:14 giant avalanche coming at you. It's
29:16 pulling towards you, right? It's coming
29:17 straight at you. And so he goes, "My
29:19 first six months at Twitter," he goes,
29:20 "I woke up and I had the cruy keyboard
29:23 like imprinted on my forehead. Like I
29:25 would just fall asleep at my desk and
29:27 I'd wake up and I'm back at work,
29:28 right?" He's like, "Basically, that's
29:30 how I lived for like six straight months
29:32 because and he's like everybody's making
29:34 fun of us cuz the Twitter had the fail
29:36 whale." He's like, "But you there's
29:37 nobody had ever scaled a service like
29:39 this this fast." And so we just couldn't
29:41 keep it up. And we like we were, trust
29:42 me, we were trying. Everyone thought we
29:44 were being lazy or stupid. He's like,
29:45 "We are the smartest people. We were
29:46 trying our absolute hardest." And it was
29:48 just so so difficult. And I think what's
29:50 happening with a lot of these AI
29:51 companies is that, you know, Sam, you
29:54 and I, I think we probably only really
29:55 experienced push for the for most of our
29:58 startup career. Yeah. It's never felt
29:59 like I was holding on. It felt like I
30:01 was pushing and it got a little easier
30:03 sometimes, but it was always resisting.
30:05 Like I have this company now, we haven't
30:07 announced this, and I just were like, we
30:08 have this uh AI bot that will come and
30:11 tell us our new contracts and our new
30:12 revenue. Last week, we closed a million
30:14 dollars in new contracts in a week. And
30:17 I was like, I have never felt this level
30:19 of pull ever in any business I've ever
30:23 done. And we're not working 10 times
30:25 harder. It's just that like the market
30:27 wants this type of product at a
30:28 different level. I am sure that the
30:30 folks like, you know, Open AAI and all
30:31 these AI startups that are going they're
30:33 experiencing a startup experience that
30:35 is not we it was not anything like what
30:38 what you and I experienced, Sam. I think
30:40 it was 0 to 800 million users in 7
30:43 months. Is that what Mary Mer said?
30:45 Yeah, I think so. I just wrote it up on
30:47 Twitter. We could look or X, but yeah,
30:49 10% of the world. 10% of the world in
30:52 eight months or something like that.
30:53 Yeah. So, that's why the rate of change
30:55 is so high that everyone that's like a
30:57 lite or a Debbie Downer is missing the
30:59 point, right? And before it looked like
31:02 it was a bunch of lil's, like people
31:03 were going and testing the product, but
31:04 there wasn't really high retention. And
31:06 then they've showed that like the the
31:09 act it's not just the users that have
31:11 doubled, but the usage per user has also
31:13 doubled, right? So, you have like a a
31:15 double of a double. Um, and that's it's
31:19 pretty obvious to me now that I'm kind
31:20 of an idiot for not investing in this
31:22 company even at really any price point.
31:24 Like this is this is basically the
31:25 Facebook of this generation, right? Like
31:28 yeah, I don't think we realized that
31:30 open that chat GBT would have 85% market
31:34 share at the proumer consumer level.
31:36 That that that's what that what all that
31:37 meant surprise if we if we'd know
31:39 because ironically chat GBT was an
31:41 experiment. It was a proof of concept.
31:42 It wasn't really meant to be the product
31:44 that the the the center of open AI, but
31:46 like do you beat yourself up about this
31:48 too? Like the way I do? Cuz I'm I I just
31:50 look back. I'm like, how much how many
31:51 hours have I spent thinking about AI?
31:52 I'm supposed to be an investor, you
31:54 know, like you're a SAS investor. This
31:55 is the greatest SAS, you know, fastest
31:57 SAS growing business ever. Are you an
31:59 investor in this? Did any of you have
32:01 the opportunity to invest in it? I did.
32:03 But you could hunt it down. You know,
32:04 that's on you could. Yeah. For me, I
32:07 want to life is short. I want to own 10%
32:10 or more of a startup and have fun. So,
32:13 hunting something down just is not my
32:14 vibe. But, but it's the way to make the
32:16 most money. Don't get me wrong. Nothing
32:17 wrong with hunting it down. And and
32:19 someone's never heard of Sean or My
32:21 First Million and just getting some
32:22 money in. Like, that's the smart way to
32:24 do it. But, um I bet you u I bet you
32:26 Darm so I think on the pod Dsh I don't
32:28 know if he explicitly said 15 million,
32:30 but he sort of winked at it when we when
32:31 we said so. He owned chat.com, which he
32:34 sold to OpenAI for the what he paid for
32:36 it, which I think was around 15 million.
32:38 and he uh got AI CHP stock. Yeah,
32:42 there's a world where that becomes worth
32:44 like in the ballpark of his HubSpot
32:47 stock. I think you know that that does
32:50 probably right. I it's none of my
32:52 business, but I remember thinking with
32:54 Aaron Levy, who's one of my favorites,
32:56 you know, he was early in Stripe, early
32:57 in Gusto, like ju back in the day, Aaron
33:00 had a window before Box went public
33:02 where everyone went to him and he had a
33:04 little time like he wasn't and he just
33:06 did all of them. And I'm like, man, if
33:08 this guy did stripe in the seed and all
33:11 like how that's got to be none of my
33:13 business, it's got to be worth even more
33:14 than his box stock, doesn't it? He owned
33:17 4% of Box I think when it went public
33:19 and he's been grinding Box for like 20
33:20 years. I love him for it. Yeah. Wait, so
33:23 he he on the stripe investment. There
33:27 was a window. Listen, it's none of my
33:28 business, but there was a window. I've
33:29 been doing this long enough, right,
33:30 where before Box IPOed, he had time,
33:33 right? And then you just get you just
33:34 can't do this stuff when you're public,
33:36 right? Maybe Mark Benoff can. And so
33:37 everyone, he was the guru, right? He was
33:40 the one guy. He was and everyone wanted
33:41 Aaron. And so he would write these
33:43 checks that, you know, but I know I we
33:46 could look him up, but I know he did
33:47 Stripe and Gusto and the seed round and
33:48 a bunch of others and it's none of my
33:50 business, but I'm like that's um there
33:52 these moments in time that could be
33:53 worth more than all of his his box
33:54 shares. And uh so it just gives me even
33:57 more respect to keep going cuz so many
34:00 founders these have a different
34:01 relationship to money and investment
34:04 than a few years back. And a lot of
34:06 founders would quit today if their
34:08 investments were worth more than their
34:09 founder stock. A lot of them do quit. A
34:11 lot of them do quit. Now, you know what
34:13 this reminds me of? So, it took me at
34:15 the hustle, I think it took me three
34:17 years to get to a million subscri a
34:19 million users. And that was like
34:20 life-changing for me to get as fast as
34:22 some of these guys are growing. It's
34:23 like literally like that per hour. And
34:26 it's sort of like when you see a
34:28 billionaire who's worth like 4 billion,
34:30 like 42 billion billion, and you're
34:34 like, man, that 2 divided by 10 would be
34:39 awesome for me. Do you know what I mean?
34:41 Like it's so it's like hard to grasp how
34:43 big and how
34:45 fast how big these things are and how
34:47 big they're and how fast they're getting
34:49 that big. Well, look, it's slightly
34:51 underdised and it's a crass topic. You
34:53 might have discussed it Sam otherwise,
34:55 but like it's a crass topic. Like it's
34:57 right above, but because OpenAI will be
35:00 worth You're filthy pig. No, but when
35:01 when when HubSpot I've been around long
35:03 enough to remember when HubSpot IPOed
35:05 and it hub IPOed at about an $800
35:07 million valuation. Okay. today it's
35:08 worth like 40 billion but now like open
35:11 IO will be worth a trillion so my point
35:12 is that the rich are so much richer
35:15 right the the like the regular person's
35:17 like a little bit richer in tech and
35:19 it's great right but because the big
35:21 wins are hundred or a thousand times
35:23 bigger than just 10 years ago just 10
35:27 years ago the amount of billionaires I
35:29 wrote up on Saster the amount of
35:31 billionaires just in SAS and cloud I
35:32 could find this post but your jaw will
35:34 drop how many billionaires are in it
35:35 just because the mark the the numbers
35:38 And markets are so much bigger, right?
35:40 There's already a hundred billionaires
35:41 in B2B software. I wrote up 100
35:43 billionaires. For the people listening,
35:45 what what personality types are like who
35:50 who's poised like what 22 what does a
35:52 22-year-old today look like who can
35:55 pounce on this? Um like what's the
35:59 what's the profile type or the
36:00 personality type of of these people that
36:02 are just excelling like crazy? I think
36:05 it's just two things. Um and um the it
36:08 really probably hasn't changed since
36:10 Bill Gates days, right? Starting
36:11 Microsoft. Um but one is um you have to
36:15 be able to ship insanely good software.
36:18 Um which maybe in some business software
36:20 wasn't true for a while. Insanely good
36:21 like Higsfield that you're trying chat
36:23 GBD. This is not trivial stuff. Okay.
36:25 This is like insanely good software. And
36:27 then the second one is you have to
36:30 like be relentless to owning a market.
36:34 There was a while in 2020 21 where like
36:37 being third or fourth was
36:39 great. Hooray. Like things were so good
36:41 that like you'd be like well if I'm
36:43 number four in the market but I don't
36:44 have to sell a lot of stock and it's
36:46 calmer and I could sell my company for
36:48 400 million. That's better than IPOing.
36:51 Like the now the the best founders today
36:53 are relentless to being absolutely
36:55 number one in destroying and owning the
36:57 market, right? And because the markets
36:58 are bigger, it compounds to something
37:01 crazy, right? I mean again just one
37:03 example but Sammy and I are both
37:04 investors and owner and like you know
37:07 Adam was what whatever you know high
37:08 school dropout starting this company I
37:10 mean he's going to disrupt the entire
37:11 restaurant industry he's already on the
37:12 way there not be number
37:15 four and he has an incredible technical
37:18 co-founder now an incredible engineering
37:20 team and that product owner here's an
37:22 interesting thing because I invested in
37:23 the seed round in 2021 Adam hates it
37:25 when I say this but the product was not
37:27 very good Dean was very good the CTO it
37:29 did a lot the product but it was not
37:30 very good the reason it killed all its
37:32 direct competitors, not indirect, it
37:34 hasn't killed the big ones, is just
37:36 because the software is so much better
37:37 and that just compounds every quarter
37:39 and AI is accelerating that even faster.
37:41 So, you have to build epic software. Uh,
37:44 but if you destroy these markets, that
37:46 that's the path, but I just don't think
37:48 this is a good time to be number four. I
37:50 I could be wrong. I could be wrong, but
37:52 it had its age. It had its time. I I
37:54 actually disagree with you. I I I I I
37:56 think I understand your sentiment, which
37:57 I agree with, but I disagree with how
37:58 you're phrasing it, of uh there is it's
38:01 not great to be fourth or fifth place or
38:02 whatever. We've had a bunch of people on
38:04 this podcast that have built apps that
38:05 were really fast money grabs where they
38:08 got really big really quickly with tiny
38:10 teams. And what I would tell them, which
38:13 who what the hell do I know? But I would
38:15 tell them, I'm like, "This doesn't seem
38:16 durable, but so keep your team small and
38:19 ride the wave and take all the money and
38:21 like do do something else eventually."
38:23 But it's a little bit different than it
38:24 used to be because you don't need to
38:25 build these huge infrastructures. You
38:27 can have one hit wonders that crush it.
38:31 You have uh Yeah, I think one hit wonder
38:33 is the wrong phrasing, but I know what
38:35 you mean, which is that you can Yeah, a
38:37 base hit now can provide you enough cash
38:39 flow to a change your life and b set you
38:41 up with like five more doors, whether
38:44 it's investing or it's reinvesting into
38:46 another company you start and it you
38:48 don't have to build one 20 20-y year
38:49 durable company in order to to be a
38:51 winner anymore. So, I think I think I
38:52 understand what you're saying. Like back
38:54 when we were in San Francisco early on,
38:55 like the small lifestyle business would
38:58 get you the equivalent of a job. Now, it
39:00 gets you the equivalent, you know, like
39:01 you would make a couple hundred,000 if
39:03 you were had a lifestyle business, you
39:05 know, that was like it was working, but
39:07 it was small and it was solo and it was
39:08 bootstrapped. Now, those same solo
39:10 bootstrappers have like 8 million ARR.
39:12 So, it's just a different scale that
39:14 Okay, I remember. But you know what the
39:16 difference is though that that is I
39:17 think that term is you have to be
39:19 thoughtful about it. In the age of AI
39:21 when there's so much competition, you
39:23 can build a two or three person company
39:25 that's small but the lifestyle
39:26 businesses are being
39:28 slaughtered because when these three
39:30 kids come to SF working in the mission
39:32 and they're working 8 days a week and
39:34 they've taken your little idea but made
39:36 it much better, your lifestyle is going
39:38 to be
39:39 unemployment. So this term I think needs
39:42 to die. It it made some sense I think a
39:44 few years back. It's okay. I just worry
39:46 people are going to take the wrong
39:47 lessons from it. You have to work start
39:48 in this conversation. You can do more
39:50 with fewer people, but you better work
39:52 harder if there's comp or find a space
39:54 with no competition, right? But the
39:55 weird thing about AI is the is there's
39:58 competition in spaces that two years ago
40:00 had very little competition. Like what's
40:02 an example that comes to mind? I'll give
40:03 you an example. I in when I started
40:05 investing, I did a couple investments in
40:07 legal. I knew a little bit about legal,
40:08 okay? And no one wanted to invest in
40:10 legal. They're like, uh, it's takes
40:12 forever. Lawyers don't buy anything. It
40:14 takes forever. It's boring. It's a slow
40:15 market. Now there's a 500 AI legal
40:19 startups and there's reasons for that
40:22 but you could not be at that sleepy
40:24 pace. Um same thing I've done some of
40:25 the best investment I've done has been
40:26 in support in post sales. Okay. No one
40:29 wanted to do this type of startup.
40:30 Boring resolve tickets pick up the
40:32 phone. Right now there's thousands of
40:35 voice startups. There's thousands of
40:37 these. And so if you think you can run a
40:39 lifestyle uh customer support startup,
40:43 good luck, right? Good. Good luck
40:45 because Deli out of the box is probably
40:46 better than you. You you own a uh a
40:49 media company. You you own basically if
40:51 we uh a trade show that's incredibly
40:54 successful. So let's just categorize
40:55 that as a boring company that is not a
40:57 technology company, which is what which
40:59 is what I do as well. And uh Sean has
41:01 done something like that uh in the past
41:02 as well, I believe. For the people like
41:05 like that, how are you using AI in like
41:08 a B in a in a in a not tech company? Are
41:10 your employees now becoming
41:11 significantly more efficient? I mean, we
41:13 only have two people now. I take it
41:15 back. We have five people and we do 5
41:17 million per person now. Did you have
41:19 more people before that? We have much
41:20 more people before. We had people in
41:23 2020 running. I didn't even We had four
41:25 designers. Now we have a little bit of a
41:28 designer in AI tools. We used to have
41:30 five people on this content team
41:32 reviewing sessions. Now we have zero.
41:34 Now we just have AI. So we we have none
41:36 of the designers, none of the content
41:37 people. Uh all the ghostriters are gone.
41:40 They're the worst, right?
41:43 Well, I write my own content. Let me
41:45 drop you off at the airport. No, but
41:46 what would happen? Let me go inverse
41:47 order. Like, okay, nine months ago,
41:49 Yamin would come to a SAS event. She's
41:50 done it three times, okay? And she would
41:52 speak. And 3 months later, a ghostriter
41:54 would write up a terrible summary of her
41:56 thing. Just terrible. And I would cry
41:58 and we'd ask them to fix it cuz I can't
42:00 do everything right. And then about nine
42:02 months ago, they got better. They
42:04 actually they got they weren't great,
42:05 but they got better. And I hadn't
42:06 actually used Claude. And then I went
42:08 into Claude and I'm like this, she just
42:09 put it in Claude and they start charging
42:11 us $5,000 a month for this. So like we
42:13 can do this for 20 bucks in an hour
42:16 instead of $5,000 and waiting two weeks
42:18 with her clients, right? So we didn't
42:19 need the ghostriters we got rid of
42:21 first, right? Then we had five people.
42:24 Then we had an agency we worked with for
42:25 years and for a while it was great and
42:27 they would review all these speakers.
42:28 It's a lot of work to work with
42:28 speakers. You've done it, Sam. And when
42:30 you have hundreds and hundreds of
42:31 speakers, it's impossible to do it all.
42:33 Right. But they decided they just didn't
42:35 want to work that hard anymore. So they
42:37 they wanted to charge us two to three
42:38 times more and only do half the work. So
42:40 it just didn't help us, right? So then
42:42 we're like, we're we're so now we're
42:44 five months before SAS annual and we
42:46 just said, well, let's have our AI do
42:47 it. And it it reviewed 300 sessions, 300
42:50 slide decks, 300 presentations. Do you
42:52 have to chase those 300 people down to
42:54 give you the Yeah, we still have to like
42:56 it doesn't get rid of everything, but it
42:57 does 90% of the work. And it better And
43:00 it does 90% of the work three times
43:02 better. 90% of the work three times
43:04 better. Was that you the business owner
43:06 who had to architect and come up with
43:07 all these solutions between Amelia who
43:09 runs Saster this media business and
43:11 events and me? Yeah, we came up. No one
43:13 else was like motivated to do it. Of
43:15 course. Uh that makes sense. And uh and
43:18 then like we have a time, you know, we
43:20 have a little bit of a sales team, but
43:21 then our AI just started to do all the
43:23 screening and initial sales
43:25 conversations for us. That helped a lot
43:28 even for it's this is a very niche
43:31 business a trade show business but to
43:33 say you do 25 million in revenue with
43:35 five employees is pretty breathtaking
43:38 because I would have thought that would
43:40 be on the lower end your business would
43:42 be on the lower end of like well I still
43:44 need people but you have just proven
43:46 that not to be true and so it could do
43:47 better with more people it could do
43:49 better with more people it's not your
43:52 life your life gets worse no hon the
43:54 honest I don't mean to get off target.
43:56 The real problem is I just can't it. And
43:58 Sam, this is why you think I'm grouchy
43:59 because of early conversations we had.
44:00 I've just struggled to find enough A
44:02 tier talent that wants to do this
44:05 nonsexy stuff. Okay. I would love to
44:07 have 20 people on the team tomorrow. I
44:09 have budget for it. At least 15. Uh but
44:11 but I don't need someone that shows up
44:14 to a meeting with a sponsor and doesn't
44:16 know what we
44:17 do. Okay. I don't need a a designer that
44:20 doesn't finish the design until after
44:22 the event, which I had once in the past.
44:23 like send us a big bill but didn't
44:25 finish the assets until after the event.
44:27 I just don't need that, right? Um, you
44:29 know, I just don't I don't need I don't
44:31 need someone managing 10,000 people in
44:33 in our in our SAS annual that forgets to
44:35 do catering. Like I just don't need I'd
44:37 rather have the AI come up with the
44:38 cater the AI did our catering schedule
44:40 this year. Could you talk about the
44:42 start of Sasser real quick? So when you
44:43 started this thing you had sold your
44:46 company. Yeah. Right. Was it was it
44:48 after you sold ESOS or a long time ago
44:50 2012 but yes. So 2012, you sell your
44:53 company. Great exit. As I understand it,
44:56 you're like, "I I've retired twice. I
44:58 got in shape. I picked up a hobby and
45:00 realized, you know, like I still love
45:01 building." So So you sell your company.
45:03 Do you retire right away? Basically, you
45:05 take a break. Well,
45:08 after there's probably a little bit of
45:10 parallel to Sam here. Both times after I
45:12 sold my startups, I sort of didn't work
45:15 for the better part of a year and just
45:16 got restless for different reasons,
45:18 right? And I just got restless. And in
45:20 fact both times after about a 100 days
45:23 120 days I got a little depressed. Maybe
45:25 depressed is too strong word lost. Lost
45:27 right definitely lost. I remember uh you
45:31 know my second startup emergence capital
45:32 which is a very successful B2B venture
45:34 firm had a CEO every year had a big CEO
45:36 meetup right where they would come and
45:37 and my in my class my group I had David
45:40 Saxs um and Aaron Levy and Peter Gastner
45:43 from Viva and Reneert and then after I
45:45 got acquired I got to go to one more and
45:47 they said you can't come back anymore.
45:48 you're not you're not part of the uh
45:50 you're not part of the the CEOs anymore.
45:52 I didn't I got I I was off the team and
45:55 um you know Ben Chestnut did an
45:57 interview just a couple weeks ago with
45:59 Kleiner Perkins and said the biggest
46:01 issue when he sold Mailchimp for 12
46:03 billion or whatever it was is was he
46:04 knew he would be instantly irrelevant.
46:07 He knew he would be instantly
46:08 irrelevant. He said I am now. I'm
46:10 irrelevant now. Mailchimp's of the past.
46:12 He's like you wouldn't even build a tool
46:14 like Mailchimp today in the age of AI.
46:16 Right? Maybe that wasn't quite the
46:18 point. So, yes. So, so that was it. And
46:20 then, but then what was fun for me, and
46:22 this is is a long time ago, but what was
46:23 fun for me is because I was the first of
46:25 those CEOs like the Arenss and the David
46:27 Sachs that had an exit, I didn't have to
46:29 pretend anymore. So, I just maybe Sam
46:31 thought I was grumpy, but I just shared
46:32 every mistake I made. How I screwed up
46:34 my first VP of sales, how I screwed up
46:36 um meeting customers in person, how I
46:38 screwed up marketing, and there wasn't
46:40 much content back. It's a little
46:41 different than today. There wasn't much
46:42 content. So, everyone just started to
46:43 read this. Were you being strategic?
46:45 You're like, "Oh, I'm going to start
46:46 doing content marketing. That's going to
46:47 lead to this to lead to this." Or you're
46:49 just like, "I've got time on my hands.
46:50 I've got stuff to say. I want to start
46:52 blogging." I did what now people give
46:56 advice to, but I didn't. There was no
46:57 one to give the advice. I just wrote one
46:59 blog post a day on a mistake I made.
47:01 That was my my paradigm. Write a mistake
47:03 I made as a B2B founder that got to tens
47:05 of millions. And back when Kora was a
47:07 platform, and people listening to this
47:08 won't even know what it is, but Sam
47:09 will. I answered one question. I
47:11 answered one question. So people, this
47:13 was a way for people to ask me questions
47:14 and they those were great because they
47:16 were very tactical, right? They were
47:18 very specific. So I would do one a day
47:21 every day and it it does you know I'm a
47:23 it's a little different today in AI but
47:25 generally speaking if you do that it
47:27 compounds right it doesn't compound the
47:28 same way revenue does but if you do my
47:30 first million every week and you just
47:32 keep working at it and it does seem to
47:34 compound doesn't it? Just not in not
47:36 quite as linearly as we might hope but
47:38 it does compound. But I didn't no one
47:40 there was no advice back then. I just
47:41 did one one and one a day. You were also
47:43 one of the first people to do Twitter.
47:45 You were one of the first like uh tech
47:48 people to like you know for a lot of
47:50 tech people. Twitter didn't boom until
47:51 co um but you were doing it very early.
47:55 You know it was like you and Gary
47:56 Vaynerchuk. Twitter started with tech
47:58 people. What do you mean? I don't think
47:59 it was taken seriously. I think that uh
48:01 I think Jason looked at it as a craft
48:03 where he was like I'm going to grow a
48:04 huge audience here. I I think Sean that
48:06 for a long time Twitter was an
48:09 afterthought to a bunch of different
48:10 social media platforms. Now I think it's
48:12 bumping. I just think I approached it as
48:14 a micro blog which is what Twitter in
48:15 the old days called it. So I would put
48:16 valuable content on Twitter instead of
48:18 being grouchy or just just just you know
48:22 and so I was early to putting valuable
48:24 content I think on Twitter. Right. Um I
48:26 think if I benefited anything in content
48:28 I think it was just being early. You
48:30 were early. You've been dude you are an
48:32 output machine and the stuff that you
48:34 write about is lyrical like you write
48:37 about thing SAS is a stupid boring
48:39 thing. you write about stuff where I'm
48:41 like I don't even own a software company
48:42 but I want to I love reading what he you
48:44 know it's kind of like die workware with
48:45 clothing it's like you don't have to
48:47 know about clothing but when he talks
48:48 about ties for some reason it's kind of
48:50 exciting insight my actual real goal of
48:53 doing it was to make it more fun
48:55 building boring business software make
48:56 it more fun not not not in jokey way but
49:00 to celebrate the fun part the exciting
49:02 parts of it right that that that was my
49:03 version of what Sam said did you think
49:05 okay then I'm going to be investing this
49:07 will help with deal flow and like where
49:08 did the conference come in because
49:10 that's a pretty gang busters business. I
49:12 can't imagine you thought at the
49:13 beginning we're going to be doing $5
49:15 million per employee. We're going to do
49:16 $25 million a year in this business
49:18 where we have kind of like a little like
49:20 our monopoly. We're the big fish in this
49:22 small pond of of of basically like
49:25 thought leadership for SAS businesses.
49:28 Well, the pond there's more thought
49:30 leaders today, but if you if I mean it's
49:32 a while ago, but if you are curious, I
49:34 just wrote this just because I was blue
49:38 uh and and it was something to do,
49:39 something to share, something to add
49:40 value to the world, right? No goals. No
49:43 goals. Um I certainly wouldn't start off
49:45 with a blog today if I started off
49:47 today, right? Is as archaic it is. There
49:49 still is SEO. But what what would you
49:50 do?
49:52 Even it's not me, right? But of course,
49:55 I would do video.
49:56 I do video, but I'm not you got like
49:58 it's not my natural. I'm a good writer.
50:00 I'm not like Ernest Hemingway, but like
50:02 Sam said, I have something special. I'm
50:04 able to convey ideas in a way that helps
50:06 people in writing. And I still think
50:08 today that's a rare skill, right? Dude,
50:09 I hate video. Sean's pretty good at it.
50:11 Sean can talk to a camera by himself and
50:13 and succeed. I hate it. I hate video. I
50:16 think that like I think there's a
50:17 generational gap. You need to put a
50:19 super cut of Sam's ad reads. Oh my god,
50:22 they suck, dude. Ad reads. It sucks,
50:25 man. I I It's not I I'm incredibly
50:28 uncomfortable doing it, I think. But I
50:29 think that like the 25-year-olds today,
50:32 just like the fact that FaceTime has
50:33 existed, they're so much better at it.
50:35 Uh so there's like a huge There's a
50:37 generational gap that I'm like four
50:38 years old to have caught. But if it's of
50:42 interest, it might not be. The investing
50:44 was an accident, too. It was an
50:46 accident. I actually for about a little
50:48 less than two years, I worked at a VC
50:50 firm that had invested in me. So they
50:53 they recruited me to help them. I had no
50:55 real interest in investing. And I showed
50:58 up and I like I don't know what the hell
50:59 like this is not me. I don't know what
51:02 to do here. But luckily I'd started this
51:04 blog and founders started to come by the
51:06 office. So first the founders of pipe
51:08 drive came by the week I started and
51:10 that was my first investment that sold
51:11 for a billion and a half, right? Then
51:13 other founders started then founder of
51:14 talk desk came by. That one was worth 10
51:16 billion in it last round. Then the
51:17 founders of Alolia came by that's worth
51:19 two and a half billion. Um, then the
51:22 founder of Salesoft came by. We sold
51:23 that for 2.3 billion cash in 2021 and
51:25 they kept coming by and I'd be like,
51:27 "Well, let's just invest in these ones
51:28 because these are the best ideas I got."
51:30 Like, I'm not the outbound guy like
51:32 finding Sam Hullman. So, I just invested
51:34 in the five best guys that came by the
51:36 office the first year, but they're all
51:37 worth ended up being worth a billion
51:38 dollars. So, so that's I I only So, the
51:42 weird thing about me for investing and
51:43 then I could tell you about events real
51:44 quick, but I don't want to spend all the
51:45 time. I only I'm I'm different than
51:47 99.9% of investors. I only do saster
51:50 super fans that are high intent inbound.
51:54 I don't take favor meetings. I don't do
51:56 warm intros. Uh if you tell me, Sean,
51:58 there's a startup that you want me to
52:00 meet to invest in or Sam did, I would
52:02 ask, is this do they desperately want
52:04 me? And they'd be like, no, they haven't
52:06 heard disaster. I'm out. Right. But if
52:07 they really want me, they probably just
52:09 email me. So, I don't even want a warm
52:11 intro. I don't even want a damn warm
52:13 intro. That sounds like such a leak in
52:15 your game, by the way. That sounds like
52:16 an unnecessary bar, right? like not only
52:19 if I get a warm intro that they say this
52:22 person's kickass and they'd love, you
52:24 know, but it's like are they a huge fan?
52:26 If they're not a huge fan, I'm out. That
52:27 that just seems But the thing is like
52:29 investing so much harder than it looks.
52:32 The odds that any start like seed
52:34 startup's going to truly be worth
52:35 billions of dollars is much lower than
52:37 it looks in the media. It's really hard.
52:39 And if you don't have like if you're not
52:41 incredibly intense, if you're not
52:42 incredibly if you don't want this more
52:44 than life, you're not you're gonna
52:46 you're just gonna sell your lifestyle
52:47 business, which is very logical, right?
52:49 Oh, so you're basically saying if
52:51 they're not like basically digging my
52:54 content, they're not taking as seriously
52:57 as they should. Is that is that the
52:58 implication basically that if somebody
53:00 is seriously trying to build a
53:01 generational company, they should be
53:02 loving our content and therefore they
53:03 should want me on the cap table. I want
53:04 them sending me a cold email that is so
53:06 good that you would invest off the cold
53:09 email. This is how I invest. I want a
53:10 cold email that is so good that is so
53:13 good that you don't even need you almost
53:14 don't even need to meet them. The only
53:16 point of the meeting is confirming that
53:18 you want to invest. Like every
53:19 investment I've done that's good, I've
53:21 wanted to invest before the meeting.
53:24 Every good outcome I've had this that's
53:25 how I invested in in uh owner. I'm a
53:27 little bit after you guys, but I got an
53:29 intro that was like, "This guy's one of
53:31 the best founders I've ever met and ever
53:33 invested in, and this this company's
53:35 growing incredibly fast." And then he
53:36 sent a cold email basically right after
53:38 that, which is like, "Hey, here's why I
53:39 want you on board." And here's my last
53:41 three investor updates. And in that, one
53:43 of the things that he shared was they
53:45 had done like a hack week. So, there was
53:47 like some Loom videos of the team
53:49 sharing their hack projects. And I
53:50 actually just watched those. Yeah. And
53:52 it just show like the the caliber of the
53:55 team was really incredible. Like you can
53:57 see the caliber of team in a hack
53:58 project, right? Cuz almost by
53:59 definition, it's here's just like one or
54:01 an engineer and a designer. They come up
54:03 with their own idea. They have a very
54:05 short timeline to ship it and then they
54:06 have to pitch it and present it. So you
54:08 get to see like the the quality of idea,
54:11 the quality of speed of execution and
54:12 the quality of salesmanship all in one
54:14 from like without abstracting away the
54:17 founder. It's like that's the team
54:18 itself. And uh I emailed him back with
54:21 you know I was like we don't need to
54:22 meet. I'm in. Yeah. Hey, that's it's not
54:24 the only way to invest, but what I can
54:26 tell you is if the email is mediocre,
54:28 they're not going to make it.
54:32 There are exceptions. Okay, I know
54:33 there's exceptions, but man, wait. So,
54:36 dude, so we just um at Hampton, we're
54:39 hiring a bunch and I'm putting together
54:40 like values to look for when hiring.
54:42 Yeah. And I only made it um uh I think
54:45 I'm only going to keep it at like two or
54:46 three values, but ability to write an
54:49 email and communicate is the is one of
54:51 the three. And I will tell you of the re
54:54 one of the reasons we only have the five
54:56 people is I have lowered the bar at
54:58 Saster in a way I never would as a
55:00 software founder. I've lowered the bar
55:02 again and again. I've hired folks where
55:03 the email wasn't that great. I've hired
55:05 folks where they put an E in Saster.
55:06 I've hired folks that didn't do the
55:08 research before they started. 100%
55:10 failure rate. Like we already know this,
55:13 right? But I'm I've lowered the bar
55:14 because I've been like, well, this isn't
55:16 as cool enough. I got to take who I can
55:19 get, right? Always a neg worth less than
55:22 zero, right? Total total zero. Yeah. You
55:25 have this great tweet. You said you
55:26 think startups are about a great idea,
55:28 but in the end they're about great
55:30 recruiting. That's what you're talking
55:31 about. They they Yeah. And if you talk
55:34 about owner, not to use one, but because
55:35 it's a mutual point. I will say there
55:37 there actually lot are lots of risks
55:38 with owner. And I invested very early.
55:40 You didn't see the two times we almost
55:42 ran out of money. Now we have infinite
55:43 capital, a lot of other things. But I
55:45 actually do not know a more relentless
55:47 recruiter than Adam. I don't know a more
55:50 relentless recruiter than Adam. And that
55:52 that is a rare skill. We all learn it as
55:55 as CEOs. Like we get bet we always get
55:57 better at recruiting, right? What does
55:58 relentless look like? Like what does
56:00 that mean? Literally reach out to the
56:01 200 best people in the job. Talk to all
56:04 of them. Set up meetings. Cold, warm,
56:06 lukewarm, direct, LinkedIn. Who are the
56:09 200? Like talk to everyone in the world.
56:10 Who are the 10 200 best CMOs that I
56:12 could possibly hire? Don't pretend to
56:14 talk to 200. Don't actually only do five
56:16 interviews and pretend you're doing
56:17 them. do 200. That's what the S tier
56:20 recruiters do, right? The S tier I had
56:22 an old co-founder and I wish we'd gotten
56:24 along better, but he was one of the one
56:26 of the best I ever knew. And I'd roll
56:28 into work every day at 8:00 and he'd
56:30 already handed me two candidates to talk
56:32 to that were really good. Every day.
56:34 Every day. I've never Adam has that, but
56:36 I'd never seen that magic, right? And I
56:38 don't have that skill to every day he'd
56:40 found a way. Hey, I've got this
56:42 marketing and this sales guy I want you
56:43 to meet. Can you talk to them today? Be
56:46 like two more. But then they'd always be
56:48 great. They they're not they won't
56:49 always be a fit, right? And that's
56:50 that's how you only way you can scale as
56:52 an executive unless you have a
56:53 three-person startup. You have a few
56:55 more of these really great like how to
56:56 be a great CEO concepts. So one is to be
56:59 a great great CEO, you have to enjoy
57:01 telling the same stories again and again
57:03 and again hundreds of times. Yeah. Yeah.
57:06 Even Sam Alman does that, doesn't he?
57:09 It's pretty much the same story, right?
57:11 It it it is that that one. The one I
57:14 like that Sam does, I can comment. He
57:15 tells you the future like Elon Musk if
57:17 you're listening.
57:19 So, what do you mean by that? Well, you
57:21 know, he does this. You can make fun of
57:23 this goofy video he did with Johnny IV.
57:24 I don't know if you saw it when they did
57:25 it. Like perfect having coffee in North
57:28 Beach. My favorite romcom of the year.
57:31 Yeah. You think, "Oh, this is silly,
57:33 right?" But but listen to what he's
57:35 saying. He's telling you that in the not
57:38 too distant future, you will be on Chat
57:39 GBT 24 hours a day, right? And I'm
57:42 making the bet that Johnny IV is the guy
57:44 to do it. I'm not betting that he's
57:45 going to build a rabbit pendant. It's
57:47 not that. I'm making a big bet that he
57:49 knows UI and UX so well for the next
57:52 generation that he will solve this
57:53 problem where we are on and Sam's
57:55 already on Chat GBT more than the
57:57 average today, right? The average
57:58 person's on like 22 minutes. You said
57:59 you're on it more, aren't you? I am on
58:01 it all day. Yeah. So Johnny IV is going
58:03 to figure out a way that it's in your
58:04 ring and it's in your phone and it's in
58:06 your glasses like Ray Bandit and he's
58:08 going to figure out stuff we haven't
58:08 figured out and it's in our it's in Sean
58:10 and I's headset and we are just like
58:12 what if it was in this headset like this
58:14 is totally passive right I mean I don't
58:16 know if you guys have used granola or
58:17 the newest notion it records everything
58:19 you do all the time in the background
58:20 without permissions or visibility
58:23 you know why granola is so successful by
58:25 for note takingaking versus I don't know
58:27 if the one you said is does this Sean
58:28 but you know granola just records
58:30 everything at the hardware level Like I
58:32 could be recording us granola right now
58:34 and you we had we had we had a chief
58:37 customer office off officer summit 200
58:39 of the best chief customer officers at
58:40 Saster this year and the guy that put it
58:42 on that day wrote up the whole summary
58:44 of every single session that day like
58:47 very very good I even I couldn't do like
58:49 oh yeah I just granola just listen to
58:50 everything and it wrote it for me and it
58:52 was done that day. Do you feel this way,
58:54 Sean, where I hear this and I'm like,
58:55 this is so exciting. And then, but the
58:57 other side of me is says, um, this is so
59:00 intense. I have to like I hopefully I
59:02 can invest in something and and make a
59:04 profit otherwise I need to take my
59:06 winnings and go home and hopefully they
59:08 compound compound by themselves because
59:10 there's an intense future that you're
59:11 painting here. Like I I don't know how I
59:13 feel. Sometimes I'm like, "This is so
59:14 exciting. I want to get in. This is this
59:15 is amazing." But then other times I'm
59:17 like, "But if my life depends on this, I
59:18 don't want to play this game. This seems
59:20 so intense." I know exactly what you
59:22 mean. I've I've now experienced
59:23 basically like I graduated 2010, right?
59:25 So when I graduated I basically like
59:28 that's when the light bulb turned on. I
59:30 don't I don't I don't even remember life
59:31 really before that you know I didn't
59:33 even know the great financial crisis was
59:35 happening. I was sitting at a
59:36 Chick-fil-A somewhere in08. You know I
59:37 just was oblivious to to the to the
59:39 whole world, right? But when I came out
59:41 2010 basically three things have
59:43 happened since then that were of note.
59:45 There was mobile. So right when I moved
59:47 to San Francisco, I remember we you know
59:49 I joined Burch's startup studio and
59:51 there was a single mobile developer and
59:52 he would my very first day he was giving
59:54 a tutorial to the other 12 engineers who
59:56 were like you know super seasoned
59:58 Silicon Valley engineers but they just
60:00 never built an iOS app before. Yeah. And
60:02 I and like that ratio of like one mobile
60:04 developer to you know 12 15 non-mobile
60:08 developers. Within 12 months it flipped.
60:10 It was like if you're not doing mobile
60:11 what are you even doing? Why would you
60:12 do a startup if it's not a mobile
60:14 startup? It was like a a a dumb idea in
60:17 by the time you're, you know, a year
60:18 later into the job. And so I saw mobile
60:21 come and mobile was one of those where I
60:23 would say it was obviously going to
60:25 happen, but it was a fog of war. You
60:27 didn't know where the opportunities
60:28 were. And actually the opportunities
60:30 were very different than the previous
60:31 wave. So like Michael, who had made a
60:34 billion dollars in web 1.0 or 2.0 or
60:37 whatever, like you know the Facebook
60:38 era, he didn't realize even Facebook
60:41 didn't realize Zuck didn't build mobile
60:42 apps, right? He was like, "No, no, it'll
60:43 it'll be mobile web responsive. That'll
60:45 work." And you know, the fact that
60:48 basically Uber was like the big Uber was
60:50 like the biggest winner basically during
60:52 that like that era when we when we
60:54 launched and Uber was like physical
60:56 world interaction like you push a button
60:58 but a car has to show up and you have to
60:59 manage these drivers and that looked
61:01 nothing like the winners before. So
61:03 there was like we all knew mobile was
61:04 big but we didn't understand the the fog
61:07 of war prevented us from seeing the path
61:08 to victory. Yeah. Then the next one was
61:10 crypto. crypto had a different flavor
61:12 which was it it was not consensus that
61:15 this was going to be big. In fact, it
61:16 was very fringe and you looked a little
61:18 crazy for saying this was going to be
61:19 big and so most of us missed it for that
61:22 reason. Um and now this is the really
61:25 the third one. I I'll like take co out
61:27 uh cuz that was that was a little bit of
61:28 a different thing. Uh this is the third
61:30 one where again everybody agrees this is
61:33 going to be huge. This is going to be
61:34 the biggest of all of them. This is the
61:36 biggest opportunity ever. Right. So
61:37 everybody agrees on that, but there's
61:39 complete fog of war because like you're
61:40 saying, even the apps that are working
61:42 get disrupted. There's like so much
61:44 creative destruction there. One moment
61:46 you think it's the models that are going
61:47 to get all the money. Then you think
61:49 it's Nvidia that's going to get all the
61:50 money. Then you think it's the
61:51 applications that are going to get all
61:52 the money. Nobody knows how to win. Uh
61:55 even on the investment side, like the
61:56 VCs also, you're sitting there and you
61:58 have this really weird feeling because
61:59 you know this is the time when all the
62:01 money is going to get made. The
62:02 generational money is going to get made
62:04 now. you still have no idea where to put
62:06 it and people are trying to figure that
62:07 out in the fog of war. It's like that
62:09 Warren Buffett phrase where they where
62:10 he says um uh every every you see who's
62:13 swimming naked when the tide comes in or
62:15 goes out. You know what I'm saying? Uh
62:16 where the idea being like uh you know
62:19 when there's turmoil that's when you get
62:20 greedy but the hard part is a the
62:22 courage and b to know when the turmoil
62:24 is actually happening. You know are you
62:26 in that period now? We all know it's
62:28 happening. uh this is the time, but do
62:32 you or I have the want, desire, courage
62:34 to actually get after it? And half the
62:36 time I think, hell yeah, this is
62:38 amazing. The other half a time I think
62:40 this is this is scary and read a book.
62:43 Yeah, I want nothing to do with this.
62:44 You know, do you guys agree? There was
62:45 someone I wish I knew who it was.
62:46 Someone on Twitter had a good tweet that
62:48 resonated with me on this point. He's
62:49 like, what the the smartest play if you
62:51 can possibly pull it off today is to go
62:52 make five or 10 million, cash out, and
62:54 just chill because you can't predict
62:56 where it's going to go. like this is the
62:58 world's going to like whatever you could
62:59 do to to liquidate your assets now they
63:01 may be worthless down the road so
63:03 liquidate them right now and chill if
63:05 you don't if you don't see the future
63:06 because this is the time right I I do
63:08 think and I also think you know I used
63:11 to it wasn't until we ran our own AI
63:13 again I used to think Venode Kosa I mean
63:15 obviously off the charts smart right but
63:16 when he used to talk about how AI was
63:18 going to bring mass unemployment in tech
63:19 I used to think he was just being crazy
63:21 right but now I can see it it's also
63:23 coming I can see all the I mean Mckenzie
63:25 just laid 10% of their their team off,
63:27 but it's just a start because they put
63:29 in all of their learnings, all of their
63:31 data into their own AI like Saster and
63:33 now they just asked the they don't need
63:34 the kid anymore, right? Half of our
63:36 sales and marketing teams are going to
63:38 be gone in two years. There will be no
63:39 BDRs in a year. And so this mass change
63:42 and it is hard to make bets. So what's
63:44 happening in venture for what it's
63:46 worth? There's really two things
63:47 happening right now in venture. 70% of
63:49 the money is going into growth and right
63:50 now it's a great play. You do claude at
63:52 a billion and then it goes to three
63:54 billion and the valuation goes 5x. You
63:56 put in 200 million, that 200 million
63:58 goes to 600 million, right? You take
64:01 home 20% of the profits. You make $80
64:02 million in a year, right? That's where
64:05 venture is going. All growth. It's all
64:07 growth. And then it's doing seed early
64:09 stuff, but
64:11 implicitly people are assuming a very
64:13 high loss rate and they're paying very
64:14 high prices. 60 million hundred million
64:16 dollar valuations at seed and they're
64:18 hoping it's worth billions but they
64:20 understand like there will be uniquely
64:22 high loss rates too. They're not saying
64:25 it but they know it right. They know it.
64:27 Yeah. And that seems hard to make money,
64:28 right? Those two that combination of
64:30 high valuations and high loss rate.
64:32 Doesn't that Well, if you have hundred
64:33 billion dollar outcomes, if you get one
64:36 per funded that that's the bet they're
64:37 making that there'll be one hundred
64:39 billion outcome for each venture fund,
64:42 right? But back when hubs again when
64:43 HubSpot IPOed the bet was you'd have a
64:45 billion dollar outcome per fund one. Now
64:48 it's hundred billion per fund. So if you
64:50 believe you'll do that you can do some
64:53 you can do a little analysis or
64:54 waterfall and you just have Claude do it
64:55 for you. You don't even have to do the
64:57 analysis yourself anymore. I did this
64:58 over the weekend. You just got to find
65:00 one of them and they all the rest can
65:01 crash and burn. Right. So so what is
65:03 your game plan? I have decided
65:06 that whatever brand I still have and my
65:09 excitement and my ability actually to
65:11 know more than because I've done my AI
65:13 actually know more than most people that
65:14 aren't that aren't on the like
65:16 programming tool side. I've decided that
65:19 I'll get one at least one $10 billion
65:22 deal done in the next three years, two
65:23 years. One, no matter I I I'm only in it
65:26 for one. Whether that means I have to do
65:29 20 investments or one more, it doesn't
65:31 matter. Um I I I'm in it for one right
65:34 at the seeds at the early stage. Yeah. I
65:36 want to own I want to try to get one
65:38 deal where I own 10% or close that's
65:40 worth 10 billion. I've sort of done it
65:41 once on paper. I've done a couple
65:43 billion dollar ones and I'm just and
65:45 I've missed a lot. What would that be
65:47 worth to you if you own 10% at seed of a
65:49 company that uh outcomes at 10 billion?
65:53 Well, multiply if it's just 10 if it's
65:55 just only 10 billion. That's it. But
65:57 multiply it by 10%. So that's a billion,
66:00 right? And then you keep 20 or 25% of
66:02 that. But there's going to be so much
66:04 dilution along the way to Right. That's
66:05 what I'm asking. You don't account for
66:06 dilution. No, I'm simplifying my goal.
66:09 You could own more. Like you'll own more
66:11 and then there'll be investments that
66:12 are highly diluted. So at a at a $10
66:14 billion outcome at a seed stage, you are
66:17 looking to make $200 million.
66:20 Yeah, that would help. Okay, that would
66:22 be cool. Yeah, I think listen, if you
66:23 really want to know how venture if you
66:25 really want I know we're going off
66:26 topic. There's two ways that I think
66:27 venture works if you want to simplify a
66:29 lot of it. One, it's a great job. One,
66:31 it could be a mediocre job, it could be
66:32 a great job, or you could try to make at
66:34 least a hund00 million. I think anything
66:36 else is it doesn't exist. The g there's
66:37 a gap that doesn't exist because you're
66:39 either in it for the fees in the job
66:41 like initially like, wow, I'm a kid. I'm
66:44 getting paid $250,000 and I just get to
66:46 take meetings. It seems great. Then
66:48 you're finally a partner and you make a
66:49 couple million bucks a year and that's
66:50 like much better than like some other
66:52 job. But there's a pretty big gap
66:54 between that. like you don't it's really
66:57 actually unless you're great it's really
66:58 hard to make profits in venture or carry
67:00 so the game is to make a [ __ ] lot of
67:02 it okay and listen and the thing is if
67:05 you're in a big winner if you're in
67:06 multiple big winners just do the math
67:08 Sam like that's why most VCs make
67:11 nothing except a good salary but there
67:13 are a bunch that have made billions
67:15 because if you're in like three or four
67:16 or five of those 10 billion outcomes
67:18 which is very hard then you make a
67:20 billion bucks now the founders hopefully
67:21 make much more it is fair right but
67:23 you're either playing that game or it's
67:25 performative gamer. It's really just for
67:27 fees and salary. Like there really isn't
67:28 there's nothing in between. But you also
67:30 have the media and events business too.
67:32 So you also have this cash flow. I
67:34 assume that that's a very profitable
67:35 business. It wasn't before co but it is
67:38 now. Yeah. So you you have that either
67:40 way. Yeah. I mean I made enough as a
67:42 founder. I have a safety net. I mean but
67:45 I don't I actually view it as a net
67:47 negative for investing but it is uh but
67:50 it's a passion. Uh we we do a good job.
67:52 But yes. Last question. I I know you
67:54 have college age kids, freshman,
67:56 sophomore. Yeah. What are you advising
67:58 they're going to do when they're saying,
67:59 "Dad, you know, what should I do for a
68:01 job?" If they if they ask you that, uh,
68:03 what would you advise them to do now?
68:05 First, I I I don't think a lot of these
68:08 kids will ever have a real job. They
68:09 will find ways on the internet to make.
68:11 So, so I it is interesting. There does
68:14 appear to be a gender difference, which
68:15 I don't like, between boys and girls. Of
68:17 my sons, my son's a sophomore now. 10%
68:20 of his class didn't even want to go to
68:21 college at all. and they just decided
68:23 that they could they all had this vibe.
68:24 I'm going to go to Eastern Europe where
68:26 it's cheap and I can just make money on
68:27 the internet. I'm never going to have a
68:28 real job. There's no interest in ever
68:30 having and I don't think my son really
68:31 wants to ever have a real job. And he's
68:33 super smart. Like he's much smarter than
68:35 me. Math. He's now in he's deep in AI.
68:37 He can he's deep into cursor and wind
68:39 surf. He pays for cursor out of his own
68:41 pocket. He's writing assembly language
68:42 now so he can code to the metal and do
68:44 everything. But he'll never have a real
68:46 job. Okay. He's like worst case I'll
68:47 work for Airbnb from right. He so he's
68:51 never going to have a normal job ever.
68:55 Okay. My daughter, it's interesting.
68:57 She's at Stanford. Okay. And the vibe at
68:59 Stanford, this is if you ask, it's kind
69:01 of interesting. This is a shocker to me.
69:02 They all want to go to grad school now
69:04 as freshmen. So they're all they're all
69:06 architecting their classes, their
69:08 majors, so they can go to grad school so
69:10 they can defer
69:12 work. Like when I was in college, people
69:15 cared about grad school. Then I think
69:16 people made fun of like why would you go
69:18 go to gra like why would you go to grad
69:20 school like go go go go go go go go go
69:21 go to the internet right that was the
69:22 vibe for for 15 years now they all want
69:24 to defer reality and I don't I don't
69:26 know that there'll be any any jobs and I
69:28 don't know that people want to work I
69:30 honestly don't think and I don't mean
69:31 this negatively I don't think a lot of
69:33 the current they want to be creators or
69:35 they want to do other things I just
69:36 whatever made us want to work the three
69:39 of us I don't see it in the next
69:40 generation very rare the women want to
69:42 be educated and the men want to move to
69:45 Eastern Europe and make money on the
69:46 internet. I'm not sure it's the women
69:47 want to be educated. I just know her
69:49 group does that may not but but the men
69:50 not wanting to work at all like like
69:52 coming out of high school and just
69:53 saying no fear like no fear. I don't
69:56 know what it was like when you when I
69:57 during my life I was worried I wouldn't
69:59 have a job at different times, right? I
70:00 was worried during college I wouldn't
70:02 during I was always worried there was no
70:03 fear. When I was uh when I was a senior
70:05 in college I remember thinking man I
70:07 would kill to work at KPMG and make
70:09 $45,000 a year. Like I I I I remember
70:12 thinking like that would be a home run
70:13 if I could see your yearbook quote. I'm
70:16 like KPMG in Nashville, Tennessee. If I
70:18 could make if I could get 50 G's from
70:20 Deote, that's a home run. But it's so so
70:23 I think I don't know that they're going
70:24 to work. And then I think a lot of the
70:26 2021 generation isn't going to work
70:28 again either. I'll give you an example.
70:30 So someone I knew a little bit. Um
70:32 there's a lot So I I did this exercise.
70:34 Um I just like lowering the bar for
70:36 hiring. I did this exercise. I know I
70:38 shouldn't do it, but I want to try it
70:39 anyway. I reached out to folks that had
70:41 that the circle on LinkedIn. What's the
70:43 circle on LinkedIn? Out of work. What's
70:44 it called? Looking for work. Yeah. Open
70:46 to work. I looked I worked out to folks
70:48 that I knew a hint of a hint maybe I met
70:49 them backstage at a hustle event or
70:51 something. I I I met them in passing.
70:53 Okay. Enough that I had like a micro
70:55 connection that had been out of work for
70:57 6 months and I gave them uh jobs. All of
70:59 them in the end basically said, "I want
71:01 to make 200k or more only to do meetings
71:03 or manage teams." None of them were
71:04 willing to do any work themselves. None
71:06 of them. The people with the circle, the
71:07 young people, the Gen Z's folks their
71:10 their expect their expectations for
71:12 salary or for comp is so high. Well,
71:14 there's that, too. I'm talking about
71:15 folks that are already been out of the
71:17 workforce for 6 months, but yeah, the
71:18 expectations are they'd rather not work.
71:21 That's the thing. A lot of people would
71:22 rather not work than get their comp,
71:24 right? I mean, yeah, that sounds good to
71:26 me, too. I don't know how everyone's
71:28 like, listen, there's obviously an
71:30 element of privilege in this, right? And
71:31 for folks that are living in different
71:32 geographies or others will think this is
71:34 disgusting, and I think they're right.
71:35 But I also think folks who have made a
71:37 little bit of money in tech or otherwise
71:39 are happy to live on relatively low
71:42 amounts of money with with their savings
71:44 or others rather than just take a job no
71:46 matter what it's what what the internet
71:48 says. Right. Um Jason, is this a stupid
71:50 mental model? I do this sometimes. If I
71:51 if I want to hire somebody and I'm
71:53 interested they're $200,000 a year,
71:56 let's say, and let's say my business is
71:58 20% net profit margins. I think to
72:01 myself, this person has to basically
72:02 generate a million dollars of extra
72:04 revenue just for me to break even on
72:06 their salary. Now, maybe they're maybe
72:08 they're doing it in coordination with a
72:09 team, but like the addition of this
72:11 person in order for it to be a positive
72:13 ROI, I have to believe that adding this
72:15 person yields me a million dollars of
72:17 extra revenue. And when I do that, I
72:20 mean, 90% of the time, I'm like, there's
72:22 no chance. No, this is like that that
72:23 wouldn't even make sense here. Um, so I
72:26 don't know if my mental model is broken
72:28 or if I'm actually on to something with
72:30 that. Is that how is that is that a
72:32 really dumb way of thinking about that?
72:33 That is that is the model for sales
72:35 reps. Like traditionally a sales
72:37 executive, whether they sold software or
72:38 an automobile, a sales executive in base
72:41 and bonus would take them 20% of the
72:42 profits. If you look at how car dealers
72:44 car dealers have low margins, right? But
72:46 if you look at the margin um to a car
72:48 dealer that the the guy selling you the
72:50 the new the new Lexus net would take
72:53 home 20% of the profit to the dealer,
72:55 right? If the dealer made no profit,
72:56 they'd make nothing. If they ripped you
72:57 off and got you to pay list plus the the
72:59 CD player for $1,000, they'd make a lot,
73:02 right? Sales is the same way because in
73:04 SA in in software, the margins are
73:06 almost 100%. Reps would traditionally
73:08 take home 20 to 25% of what they closed,
73:10 right? Sales for other roles. Um, it's
73:14 really just about leverage and you're
73:15 often just hoping to break even. But
73:17 even to break even, let's say it's a
73:19 $200,000 employee, to break even, you
73:20 need a million dollars of incremental
73:22 revenue to break even on that. Yes. But
73:23 one way, this is what I learned, for
73:24 example, one way that law firms
73:26 traditionally were structured, this is
73:28 slightly interesting, and it may be
73:30 different today, but traditionally law
73:31 firms actually, most law firms, not the
73:33 big, not the litigators, but like your
73:35 corporate law firm that helps you on
73:37 stuff, they never made money on the
73:38 associates. Okay? So, why would you have
73:40 associates? I didn't know this till I
73:42 asked a partner that I work with. He's
73:43 like cuz I just don't want to do that
73:44 work anymore. I don't want to write the
73:46 certificate of incorporation for Sam. I
73:48 don't want to do the NDA. Like I don't
73:50 we don't make any money net of training
73:52 and offboarding and churn and the and
73:54 the desk and the computer. We don't make
73:55 any but I just don't want to do the
73:57 work. So for your organization you'll
73:58 also like just to not have to do the
74:00 work, right? But the problem with AI is
74:02 it lets us do more of the work. That's
74:05 the weird dislocation. So instead of
74:07 paying that person, like you can't even
74:08 find the $200,000 person dollar person.
74:10 At some point you'll just do the work
74:11 yourself with AI, right? That's the
74:13 cognitive load. Um but that's why it's
74:15 the mix. I don't think everyone can be
74:16 profitable. Some folks just have to
74:18 reduce the load on everybody else. But
74:20 AI is going to do more of it. Yeah.
74:22 Right. You're full of information. I um
74:25 you know, I think Theo Van described one
74:27 of his guests as a blind Russell Terrier
74:29 or Jack Terrier or uh No, sorry. A deaf
74:33 a what was it? deaf. Uh I [ __ ] ruined
74:35 this joke, but uh we're gonna laugh
74:37 anyway.
74:39 What was it? A
74:42 a de a deaf Jack Russell Terrier where
74:44 he like gets out of the of the car, he
74:47 like goes crazy. You can't quit stop him
74:48 from yapping. Uh that's kind of like
74:50 what you are where it's like we just
74:51 like hit record and we just like you
74:54 just roll and we just are on on board
74:56 and listen to you and uh you're the man.
74:59 you um you're just full of I think
75:01 really good comments that are done in
75:03 like strong taste and tend to be right.
75:07 Jason, don't get confused when he calls
75:09 you a a blind deaf dog. That's he's
75:11 trying to give you a compliment. That's
75:12 just he does it a little bit
75:13 differently. Yeah. Yeah. And grumpy.
75:16 Yeah. And he called you grumpy. So,
75:19 you're welcome. And welcome to the show.
75:20 There's a goodie bag for you on the way
75:21 out.
75:23 Thanks, man. You're the best. Um that's
75:24 it. That's the pod.
75:27 [Music]
75:33 Hey,