Meeting Title: Uttam <> Nick Date: 2024-09-26 Meeting participants: Nick Anderson, Joshuadeveyra, Uttam Kumaran
WEBVTT
1 00:00:11.290 ⇒ 00:00:11.980 Uttam Kumaran: Yo.
2 00:00:11.980 ⇒ 00:00:12.413 Nick Anderson: On a.
3 00:00:12.630 ⇒ 00:00:13.700 joshuadeveyra: Hello! There!
4 00:00:14.430 ⇒ 00:00:15.269 Uttam Kumaran: What’s up? Dude?
5 00:00:16.950 ⇒ 00:00:17.290 Uttam Kumaran: Good.
6 00:00:17.290 ⇒ 00:00:18.360 Nick Anderson: Far too long, man, how you been.
7 00:00:18.360 ⇒ 00:00:22.089 Uttam Kumaran: I know dude. I thought about texting you last week I wrote a message.
8 00:00:22.250 ⇒ 00:00:27.070 Uttam Kumaran: I swear I didn’t send it. You know. I think I was out because I was like, Oh, I don’t want to send this, and then
9 00:00:27.090 ⇒ 00:00:29.249 Uttam Kumaran: like start doing something else.
10 00:00:29.700 ⇒ 00:00:30.620 Nick Anderson: Oh, yeah.
11 00:00:30.820 ⇒ 00:00:33.330 Nick Anderson: no, I listen. I do that all the time.
12 00:00:33.920 ⇒ 00:00:34.910 Nick Anderson: It happens to be awesome.
13 00:00:34.910 ⇒ 00:00:35.520 Uttam Kumaran: Like.
14 00:00:35.520 ⇒ 00:00:37.260 Nick Anderson: Literally that happened to me when I texted you.
15 00:00:37.260 ⇒ 00:00:38.100 Uttam Kumaran: Today
16 00:00:38.360 ⇒ 00:00:38.890 Uttam Kumaran: yeah.
17 00:00:38.890 ⇒ 00:00:53.620 Nick Anderson: Yeah, man like, it’s, it’s just yeah. It’s like, we connected very organically and like, it’s it’s how it’s felt anytime that we’ve been able to have the privilege to hang out. You know.
18 00:00:53.860 ⇒ 00:00:54.370 Uttam Kumaran: Totally.
19 00:00:54.370 ⇒ 00:00:55.959 Nick Anderson: It’s it’s been cool.
20 00:00:56.090 ⇒ 00:00:57.759 Uttam Kumaran: Yeah, where are you at? Right now?
21 00:00:58.280 ⇒ 00:01:01.447 Nick Anderson: I’m in a dunkin donuts in Boston, because.
22 00:01:01.880 ⇒ 00:01:06.007 Nick Anderson: and quite, very on brand for Boston. I’m
23 00:01:06.500 ⇒ 00:01:12.799 Nick Anderson: I’m waiting to go into an event at around like 5 36 which is like right around the corner. So
24 00:01:14.360 ⇒ 00:01:28.970 Uttam Kumaran: Well, this is this is Miguel. From my team. Miguel basically runs all of our AI and a process automation related projects. We’ve done a bunch of stuff internally around building AI agents
25 00:01:29.320 ⇒ 00:01:31.769 Uttam Kumaran: all using Llms for like
26 00:01:32.110 ⇒ 00:01:51.219 Uttam Kumaran: you name it. We’re also today started doing stuff on the actual like writing code and doing code review side. We have a, we have one client that we’re working for on like process automation, like basically like mimicking browsers to scrape a bunch of stuff. So Miguel joined us like a month or 2 ago, and we’re like starting to actually grow out
27 00:01:51.230 ⇒ 00:01:56.590 Uttam Kumaran: that part of the business. So I thought it would be perfect to kind of have me here, and
28 00:01:57.650 ⇒ 00:02:00.460 Uttam Kumaran: it’s really late where he is. It’s like 5 Am.
29 00:02:00.510 ⇒ 00:02:02.955 Nick Anderson: So! Oh, fuck!
30 00:02:03.770 ⇒ 00:02:04.560 Uttam Kumaran: His last meeting.
31 00:02:04.560 ⇒ 00:02:05.250 Nick Anderson: Wait!
32 00:02:06.440 ⇒ 00:02:07.850 Uttam Kumaran: Very interesting.
33 00:02:07.850 ⇒ 00:02:13.259 Nick Anderson: I mean, 5 Am. Is one of those times where it’s like it could go either way, like, you’re either.
34 00:02:14.910 ⇒ 00:02:15.756 Nick Anderson: Yeah, like.
35 00:02:16.180 ⇒ 00:02:26.230 Uttam Kumaran: No, no! I told him I told him that this would be a good meeting, and it’d be good to meet you, but also I know I knew we’d we. It’d be interesting to see what you’re thinking about. So
36 00:02:26.717 ⇒ 00:02:45.940 Uttam Kumaran: yeah. And Miguel, me and Nick met at like a party here last year, and then I we also met up again in Boston a few months ago. But just a good friend works does a lot of stuff in marketing paid advertising like
37 00:02:46.180 ⇒ 00:02:47.850 Uttam Kumaran: I don’t know. Crypto stuff.
38 00:02:47.850 ⇒ 00:02:48.999 Nick Anderson: Oh, like, yeah.
39 00:02:49.000 ⇒ 00:02:50.349 Uttam Kumaran: So it’s like
40 00:02:51.068 ⇒ 00:02:54.290 Uttam Kumaran: he worked for Gary Vee, who you probably know.
41 00:02:56.160 ⇒ 00:02:57.900 Uttam Kumaran: Oh, yeah. Great guy.
42 00:02:57.900 ⇒ 00:03:05.709 Nick Anderson: Matt was. Actually, he has a big equity stake in this brand. I don’t know if you’ve seen it before, but it’s it’s like one of the cool.
43 00:03:05.710 ⇒ 00:03:07.400 Uttam Kumaran: Oh, I’ve seen it. Yeah, yeah.
44 00:03:07.400 ⇒ 00:03:07.985 Nick Anderson: Yeah.
45 00:03:08.570 ⇒ 00:03:09.240 Uttam Kumaran: I thought I read.
46 00:03:09.240 ⇒ 00:03:10.399 Nick Anderson: He wears these.
47 00:03:10.790 ⇒ 00:03:30.380 Nick Anderson: He’s wears these all the time, because, like, I mean, he has a financial incentive like to like. Put his front of as many people as possible. So yeah, the founders a good dude, too, like they actually have a really cool story. And like he’s he has some pretty cool people like wearing it to now, so.
48 00:03:30.380 ⇒ 00:03:36.469 Uttam Kumaran: There’s a couple of I feel like a lot of this. Anything that’s like more western or like country type stuff is really
49 00:03:36.480 ⇒ 00:03:37.920 Uttam Kumaran: popping off in the Us.
50 00:03:37.920 ⇒ 00:03:39.120 Nick Anderson: It hits. Yeah.
51 00:03:39.120 ⇒ 00:03:39.570 Uttam Kumaran: Yeah, like.
52 00:03:39.570 ⇒ 00:03:41.790 Nick Anderson: I think the whole Austin thing has just proved.
53 00:03:41.790 ⇒ 00:03:42.440 Uttam Kumaran: I know.
54 00:03:42.440 ⇒ 00:03:46.569 Nick Anderson: Like all of the Us. Culture. Now, it’s kind of crazy to watch.
55 00:03:46.570 ⇒ 00:03:52.600 Uttam Kumaran: I haven’t. I don’t have any like country, I mean, I think I have. My only camo thing is actually from New Hampshire.
56 00:03:53.000 ⇒ 00:03:56.909 Uttam Kumaran: I don’t think I have any country stuff like I didn’t. I didn’t.
57 00:03:56.980 ⇒ 00:04:00.109 Uttam Kumaran: I say y’all. But apart from that like, that’s it.
58 00:04:00.950 ⇒ 00:04:06.489 Nick Anderson: Actually, I just remember this had actually or this brand. Actually, they started in New York like, and they’ve been.
59 00:04:06.490 ⇒ 00:04:06.840 Uttam Kumaran: Okay.
60 00:04:06.840 ⇒ 00:04:12.240 Nick Anderson: All like New York all through and through. It’s just that they have racing stables, that’s all. I think that that’s like kind of how.
61 00:04:12.980 ⇒ 00:04:13.720 Uttam Kumaran: But.
62 00:04:13.870 ⇒ 00:04:14.490 Nick Anderson: Yeah.
63 00:04:14.650 ⇒ 00:04:15.320 Nick Anderson: duck.
64 00:04:15.480 ⇒ 00:04:17.359 Uttam Kumaran: Cool. Tell us what you’re thinking about.
65 00:04:18.019 ⇒ 00:04:24.162 Nick Anderson: Yeah, man. It’s so funny, my buddy, who I actually just had a call with which I need to call him again about this is is
66 00:04:24.569 ⇒ 00:04:30.099 Nick Anderson: He sent me this Instagram reel about this kid that’s, I think, 22 years old
67 00:04:30.319 ⇒ 00:04:37.078 Nick Anderson: and I don’t know if you ever seen this before. It’s called like Riz Gpt, or something like that.
68 00:04:37.449 ⇒ 00:04:41.888 Nick Anderson: yeah, you know, you know what I’m talking. You know exactly what I’m talking about
69 00:04:42.689 ⇒ 00:04:47.079 Nick Anderson: this kid? Yeah, right? It’s so stupid it’s so stupid. But.
70 00:04:47.080 ⇒ 00:04:53.289 Uttam Kumaran: Wait, let me see. Show me something, or or pull pull something up, or wait. What is it called Gpt.
71 00:04:53.290 ⇒ 00:04:55.409 joshuadeveyra: Basically just helps you
72 00:04:55.890 ⇒ 00:04:57.330 joshuadeveyra: talk to groups.
73 00:04:57.330 ⇒ 00:05:00.830 Uttam Kumaran: Oh, riz. Gpt, yeah, yeah, yeah. I know this is.
74 00:05:00.970 ⇒ 00:05:13.239 Nick Anderson: So so this kid he started that, and he started another 1. 1 of them is making 80 KA month, the other one. He made 500 k. In 3 months. Right? So
75 00:05:13.600 ⇒ 00:05:32.670 Nick Anderson: he sent me. My buddy sent me a Instagram reel about this, and I thought, Oh, well, let me figure out how he did it. Well, he literally just asked chat, gpt questions about how to build this business, and I thought to myself, Well, maybe just let me let me like kind of poke around and see like what actually
76 00:05:33.310 ⇒ 00:05:36.729 Nick Anderson: or addressable things currently that aren’t
77 00:05:37.190 ⇒ 00:05:51.430 Nick Anderson: aren’t being addressed. I’ve realized that there’s a lot of there’s a lot of people out there that are suffering from loneliness. I think over a 3rd of men right now just aren’t having
78 00:05:52.200 ⇒ 00:05:57.210 Nick Anderson: sex like at all. And a lot of people are aren’t
79 00:05:57.490 ⇒ 00:06:06.565 Nick Anderson: able or equipped to address dating in general. So what I’ve realized is that there’s a real gap in the market for
80 00:06:07.760 ⇒ 00:06:33.039 Nick Anderson: people that just need a liaison in the dating world like whether that’s like in person events, whether that’s different products or services whether that’s dating apps and like kind of breaking down like, what’s the real way to approach this whole thing, and make it that something that isn’t so intimidating and big. And so I thought, Okay, well, what if there was a Gpt
81 00:06:33.040 ⇒ 00:06:42.847 Nick Anderson: that aggregated all of this information for you, so that it wasn’t necessarily something that is is so like big or or daunting for people.
82 00:06:43.770 ⇒ 00:06:45.130 Nick Anderson: you know, I’ve I’ve
83 00:06:45.430 ⇒ 00:06:47.359 Nick Anderson: poked around. I’ve
84 00:06:47.530 ⇒ 00:06:55.880 Nick Anderson: use the same method of asking, Chat Gpt, if, like, hey, how exactly do I build this? How? What api integrations do I need to put in and like.
85 00:06:56.030 ⇒ 00:06:57.500 Nick Anderson: essentially like
86 00:06:57.650 ⇒ 00:07:07.190 Nick Anderson: the Crawl walk run is to really, just get like one is just to get something that will aggregate these types of events or information about, like
87 00:07:07.240 ⇒ 00:07:11.136 Nick Anderson: the real spill of what’s happening in these events.
88 00:07:12.130 ⇒ 00:07:13.010 Nick Anderson: you know.
89 00:07:13.160 ⇒ 00:07:19.499 Nick Anderson: moving forward, I see the the users being people that are either single or
90 00:07:19.830 ⇒ 00:07:42.399 Nick Anderson: that are just like looking to kind of see? See what’s out there? I see it as also being something for existing couples, right? Hey? Based on the data of your search history on Google Maps, or what have you? And all the places that you’ve been? There’s this actually probably would be the best spot for you guys to have a 1st date.
91 00:07:42.400 ⇒ 00:07:54.265 Nick Anderson: right? Or even just couples therapy, or those types of things like, I, I envision the centralized hub in and around intimate relationships,
92 00:07:54.920 ⇒ 00:08:04.780 Nick Anderson: through products, through services, through event in person events through these apps. Yeah, I just. I don’t know. I know that was a lot, but.
93 00:08:05.860 ⇒ 00:08:08.889 Uttam Kumaran: Yeah, I mean, I think so. I think the problem space.
94 00:08:09.210 ⇒ 00:08:19.853 Uttam Kumaran: It’s definitely true. I think there’s a lot of stuff around like character. AI, a lot of these, like AI building tools where basically, people are just chatting with
95 00:08:20.360 ⇒ 00:08:21.990 Uttam Kumaran: like with an Llm
96 00:08:22.325 ⇒ 00:08:36.329 Uttam Kumaran: in the, I think. Also, like, you’re a lot of what’s trending is like basically the death of like a lot of the dating apps. I think usage has been falling pretty significantly on a lot of those. But I don’t think like
97 00:08:36.940 ⇒ 00:08:42.670 Uttam Kumaran: actual like, relationships and stuff are increasing like, I think things are still pretty bad after Covid
98 00:08:42.830 ⇒ 00:08:45.180 Uttam Kumaran: in terms of like a product.
99 00:08:46.050 ⇒ 00:08:54.960 Uttam Kumaran: I mean, I do think that there’s probably like many products and like what you and what you mentioned. But I think at minimum, like definitely
100 00:08:55.260 ⇒ 00:08:57.390 Uttam Kumaran: something that’s as small as like.
101 00:08:57.630 ⇒ 00:09:01.300 Uttam Kumaran: just give advice. And it’s trained on like.
102 00:09:01.390 ⇒ 00:09:11.410 Uttam Kumaran: basically the top dating books, or like modern dating related content. Could just basically provide you with an agent that like does that?
103 00:09:11.470 ⇒ 00:09:13.490 Uttam Kumaran: I think my question would be
104 00:09:14.290 ⇒ 00:09:16.992 Uttam Kumaran: my question be one, how serious are you?
105 00:09:18.538 ⇒ 00:09:25.481 Uttam Kumaran: And then 2 like what? What is like a place to start
106 00:09:26.430 ⇒ 00:09:35.940 Uttam Kumaran: like we have done a bunch of stuff around building agents and things like that. But we’re not in like, we’re not doing a lot in like consumer facing stuff. A lot of the stuff
107 00:09:36.040 ⇒ 00:09:40.260 Uttam Kumaran: that we build is like internal or like business facing. So this would be like
108 00:09:40.380 ⇒ 00:09:41.690 Uttam Kumaran: a little bit
109 00:09:42.000 ⇒ 00:09:47.799 Uttam Kumaran: of a shit for us, but also interested in like, is something you want to build. Is this something more of like
110 00:09:48.010 ⇒ 00:09:52.520 Uttam Kumaran: you just want our take on it like, or it’s just like, or just like, what do you think? Yeah.
111 00:09:52.950 ⇒ 00:09:59.409 Nick Anderson: I’m running it by you as my PAL. And it, it’s like, hey, like
112 00:09:59.620 ⇒ 00:10:05.619 Nick Anderson: is this, if there’s a synergy, if if there’s nothing enough of a synergy. Let’s work together, if not like.
113 00:10:06.050 ⇒ 00:10:08.839 Nick Anderson: you know, I’d like your take, and like.
114 00:10:09.180 ⇒ 00:10:09.620 Uttam Kumaran: I love.
115 00:10:09.620 ⇒ 00:10:10.940 Nick Anderson: Outside that, you know.
116 00:10:10.940 ⇒ 00:10:14.009 Uttam Kumaran: I think you could do it. I think what you should do, though, is
117 00:10:14.360 ⇒ 00:10:21.590 Uttam Kumaran: you cause you know how the content side works. You should blow up a wait list for something like this to test, demand.
118 00:10:21.590 ⇒ 00:10:22.270 Nick Anderson: Yeah.
119 00:10:23.190 ⇒ 00:10:24.760 Uttam Kumaran: Because I’m telling whatever you describe.
120 00:10:24.760 ⇒ 00:10:25.859 Nick Anderson: That’s smart.
121 00:10:25.990 ⇒ 00:10:33.180 Uttam Kumaran: Whatever you can decide can get built. By the way, I think what’s gonna be hard here is picking what to build
122 00:10:33.821 ⇒ 00:10:38.740 Uttam Kumaran: like again, whether it’s like a dating coach for people
123 00:10:38.940 ⇒ 00:10:43.560 Uttam Kumaran: like, I think, figuring out those dynamics of like the app itself.
124 00:10:43.780 ⇒ 00:10:48.499 Uttam Kumaran: The technology is there, like, I mean, Miguel can tell you like the technology of something
125 00:10:48.980 ⇒ 00:11:02.360 Uttam Kumaran: like you talking to it, telling you stuff back. It’s trained on relationship stuff. Give you advice. All that is like really easy and done. But I do think that I’m not sure what the form factor is like. Will.
126 00:11:02.360 ⇒ 00:11:03.349 Nick Anderson: Yeah, cause I will.
127 00:11:03.350 ⇒ 00:11:07.659 Uttam Kumaran: Every day like I or is it more like, Yeah, or
128 00:11:07.820 ⇒ 00:11:10.569 Uttam Kumaran: I don’t know. I don’t know what the actual consumer
129 00:11:10.660 ⇒ 00:11:12.229 Uttam Kumaran: the medium is, you know.
130 00:11:12.790 ⇒ 00:11:17.089 Nick Anderson: Right? Yeah. Cause I think like as far as like
131 00:11:17.763 ⇒ 00:11:23.396 Nick Anderson: retention and whatnot. I mean, really, what? What I foresee in this is
132 00:11:24.310 ⇒ 00:11:38.610 Nick Anderson: making it so that like people feel like that, they’re getting that like, I almost see there’s there’s a bunch of different tracks that we can go down with this, whether that’s it. But I think like the main, like 1st step, I think, is just
133 00:11:38.730 ⇒ 00:11:40.750 Nick Anderson: based on, like what I’ve
134 00:11:40.810 ⇒ 00:11:44.019 Nick Anderson: from talking to other people that are single and and whatnot.
135 00:11:44.020 ⇒ 00:11:44.599 Uttam Kumaran: It’s like.
136 00:11:44.600 ⇒ 00:11:46.610 Nick Anderson: Okay, I don’t know how to meet people in person
137 00:11:46.750 ⇒ 00:11:48.030 Nick Anderson: right? Like.
138 00:11:48.070 ⇒ 00:11:52.129 Nick Anderson: I don’t know how to like find those things, cause
139 00:11:52.160 ⇒ 00:12:03.191 Nick Anderson: they don’t know, I mean, really, all it takes is just looking on eventbrite and meetup.com and like there’s a bunch of them right. But a lot of people don’t think to take that step
140 00:12:03.500 ⇒ 00:12:09.468 Nick Anderson: whether you’re like in a new city, or you’re just like in your hometown, right like I remember
141 00:12:10.160 ⇒ 00:12:13.319 Nick Anderson: coming back home to Boston, I swear
142 00:12:13.990 ⇒ 00:12:14.810 Nick Anderson: you know.
143 00:12:14.950 ⇒ 00:12:36.140 Nick Anderson: I thought like there was really oh, Boston, whatever yeah. Like, there might be some stuff. Oh, there’s like tons of tons of right it like they’re happening all the time. So I think, like having something of like, look, here’s like your your survival guide. Ned’s declassified school survival guide, but like for dating
144 00:12:36.598 ⇒ 00:12:40.639 Nick Anderson: I think, is the 1st step. And like.
145 00:12:41.300 ⇒ 00:12:42.290 Nick Anderson: I think.
146 00:12:42.390 ⇒ 00:12:44.330 Nick Anderson: because, like the Mo, the biggest
147 00:12:44.620 ⇒ 00:12:49.779 Nick Anderson: friction point, I think, for people right now is like a real relationship.
148 00:12:49.930 ⇒ 00:12:50.850 Nick Anderson: like.
149 00:12:51.380 ⇒ 00:12:53.140 Nick Anderson: you know, a lot of people don’t
150 00:12:53.500 ⇒ 00:13:14.609 Nick Anderson: like. It’s just very like fluid and and whatnot. It’s like, look like whether you are like that person that is just looking to like meet a bunch of new people and like, have that type of life, or you’re looking for something more serious like this is going to help you give that guy like this is going to be your like. Just go. And here’s your plan. Go.
151 00:13:14.840 ⇒ 00:13:23.700 Uttam Kumaran: I wonder if this is even like the simplest version of this is just like a very personalized email. Newsletter. Right where you take in.
152 00:13:23.910 ⇒ 00:13:29.050 Uttam Kumaran: You take in information about the person, but not only like Geo. And stuff like that, but you take in like
153 00:13:29.200 ⇒ 00:13:49.009 Uttam Kumaran: their goals. You take in any information about them that’s relevant. And then you just surface events. And you say clearly, well, you said you were interested in this. So I pulled this right. It’s kind of like what eventbrite and meet up want to do but they probably don’t. They just suck at and most of their events don’t have anybody
154 00:13:49.080 ⇒ 00:13:55.319 Uttam Kumaran: like a lot of their events. Just don’t have anyone to go to. So they filter all this stuff up. I think, instead, it’s like you have like a pretty.
155 00:13:55.780 ⇒ 00:14:07.179 Uttam Kumaran: It doesn’t even have to. It just has to be thorough, whether that’s 5 or 10 or 15 questions that you can then build. A really great agent on, and then pulls in relevant information better than like the best.
156 00:14:07.570 ⇒ 00:14:10.490 Uttam Kumaran: The best event, newsletter out there, right? And the
157 00:14:10.600 ⇒ 00:14:17.119 Uttam Kumaran: I’m I’m in a thought cause. My version of that is like I’m in a bunch of newsletters, for, like Austin, like founder stuff
158 00:14:17.130 ⇒ 00:14:25.760 Uttam Kumaran: right? And I go to some of them. But I like this because I get to know, like what’s going on. I think this is pretty much the same thing, although, like a lot of them. I have to subscribe to 5
159 00:14:25.780 ⇒ 00:14:32.140 Uttam Kumaran: to to fill out the entire portion of like what I can do. If, instead, if I was like well, I’m in data. I’m in this. I’m in this
160 00:14:32.580 ⇒ 00:14:42.389 Uttam Kumaran: and meet up will claim to do this. But they don’t do a good job is like just surface. The events that hit my Venn diagram and not everybody. Doesn’t. Everybody gets a different email
161 00:14:43.170 ⇒ 00:14:44.030 Uttam Kumaran: like it’s not the same.
162 00:14:44.560 ⇒ 00:14:45.089 Nick Anderson: Yeah.
163 00:14:45.520 ⇒ 00:14:53.840 Nick Anderson: you, I’m imagining, even, just like a Spoof email address that just subscribes to everything and then just takes all that data and then throws.
164 00:14:53.840 ⇒ 00:15:00.830 Uttam Kumaran: 100%. Yeah, yeah, like scraping. It is not a problem like going into meetup and scraping what meetups or eventbrite.
165 00:15:00.920 ⇒ 00:15:05.320 Uttam Kumaran: or subscribing to other event lists and scraping. That’s like non issue.
166 00:15:05.780 ⇒ 00:15:10.819 Uttam Kumaran: I I. My opinion, is an issue with consumer apps is like getting people to stick around.
167 00:15:11.010 ⇒ 00:15:14.030 Uttam Kumaran: And then second issue, make money. But like, I think
168 00:15:14.070 ⇒ 00:15:23.860 Uttam Kumaran: that’s where you’re good is like figuring out what what this pitch is. But like dude getting an email that’s like just about you is very flattering.
169 00:15:23.890 ⇒ 00:15:30.010 Uttam Kumaran: especially people who aren’t like in who aren’t in business. I feel it’s very flattering. Rarely you get anything that’s like
170 00:15:30.050 ⇒ 00:15:36.060 Uttam Kumaran: up totally about you. I’m trying to think like other versions of this is like, spotify wrapped. I think
171 00:15:37.380 ⇒ 00:15:42.469 Uttam Kumaran: it’s like, you know. So about you. And it’s like shareable. This one is a little bit different. But
172 00:15:42.936 ⇒ 00:15:50.849 Uttam Kumaran: I do think that. You start to build what could be like an AI dating coach. And this is like
173 00:15:50.970 ⇒ 00:16:03.179 Uttam Kumaran: one of the ways and email is a great medium. Everybody has email, everybody’s an email address, because getting an app or going to a site once a week is like, gonna be. And like you, you know, the newsletter game like
174 00:16:03.280 ⇒ 00:16:13.650 Uttam Kumaran: it’s it’s like that. And I think the main technology is like, can you build something that can take in a bunch of inputs craft, a very personalized email all around like dating
175 00:16:16.970 ⇒ 00:16:35.839 Nick Anderson: Yeah, starting this as a newsletter, and then having it be the foundation for like the Llm. And and just like the chat interface, or even the question is like, does that actually, is that the most efficient way to even like do this in general right? Like I have my buddy. He works in a marketplace solutions for, like large
176 00:16:37.130 ⇒ 00:16:43.324 Nick Anderson: just like large corporations and stuff, and he’s like dude. You should like totally have some sort of because they aggregate
177 00:16:43.800 ⇒ 00:17:04.350 Nick Anderson: they aggregate products using AI and then there’s a kickback like. So it’s basically like, check out all solution. Here’s here’s your suggested products and stuff like I think that there could also be some sort of like all encompassing like, oh, hey! Here’s your like I don’t know trifecta package of all the dating apps where, like you get like 3 months of.
178 00:17:04.359 ⇒ 00:17:05.189 Uttam Kumaran: Yeah, where it’s like.
179 00:17:05.190 ⇒ 00:17:05.530 Nick Anderson: For a.
180 00:17:05.530 ⇒ 00:17:06.160 Uttam Kumaran: We have a.
181 00:17:06.160 ⇒ 00:17:06.680 Nick Anderson: Thanks.
182 00:17:06.680 ⇒ 00:17:11.220 Uttam Kumaran: We have, we have access to an exclusive run club where it’s like, just hobby pool.
183 00:17:12.280 ⇒ 00:17:13.410 Uttam Kumaran: Yeah. So.
184 00:17:13.460 ⇒ 00:17:14.079 Nick Anderson: That’s.
185 00:17:14.089 ⇒ 00:17:25.159 Uttam Kumaran: I think that newsletter medium is a great place to start, because it’s so low. Tech. And it’s all high acquisition which is like what I think, you know really, really well.
186 00:17:25.420 ⇒ 00:17:25.960 Nick Anderson: Hungry.
187 00:17:25.960 ⇒ 00:17:31.699 Uttam Kumaran: And I think on I mean, Miguel, I think, like on actually producing the back end for something that’s pretty easy.
188 00:17:32.540 ⇒ 00:17:36.130 Uttam Kumaran: You just have a user list with any of the attributes. And you build like a pretty simple.
189 00:17:36.690 ⇒ 00:17:37.470 Nick Anderson: Same.
190 00:17:37.470 ⇒ 00:17:38.290 joshuadeveyra: Yeah.
191 00:17:41.860 ⇒ 00:17:43.770 Nick Anderson: What are your thoughts like.
192 00:17:45.830 ⇒ 00:17:47.550 joshuadeveyra: Well, I can’t really
193 00:17:48.460 ⇒ 00:17:52.309 joshuadeveyra: say much about dating. But yeah, I mean, after.
194 00:17:52.310 ⇒ 00:17:54.667 Nick Anderson: What you’re not. You’re not slaying.
195 00:17:55.560 ⇒ 00:17:58.158 Nick Anderson: tearing it up on the weekends, brother.
196 00:17:58.530 ⇒ 00:18:03.220 joshuadeveyra: No, I’m not. I do have. But like I have a terrible relationship. History.
197 00:18:04.760 ⇒ 00:18:07.229 joshuadeveyra: Longest relationship was 4 or 5 months. Bro.
198 00:18:07.960 ⇒ 00:18:12.009 Nick Anderson: I mean. Hey, listen, man, I’d love to get you into integrated into the product.
199 00:18:13.560 ⇒ 00:18:22.069 Nick Anderson: I’m serious. I’m not kidding like I’m genuinely like I’d love to like. Figure out like how I can solve that for you like.
200 00:18:22.291 ⇒ 00:18:24.510 joshuadeveyra: No, no, it’s not like I’m having a hard time.
201 00:18:24.930 ⇒ 00:18:25.500 joshuadeveyra: It’s like.
202 00:18:25.500 ⇒ 00:18:26.130 Nick Anderson: Okay.
203 00:18:27.010 ⇒ 00:18:27.525 joshuadeveyra: Yeah.
204 00:18:28.650 ⇒ 00:18:33.999 joshuadeveyra: I I’m gonna come around as a terrible guy. But I find someone new, you know. And then I was like, Huh.
205 00:18:35.473 ⇒ 00:18:36.000 Nick Anderson: I can.
206 00:18:36.000 ⇒ 00:18:36.270 joshuadeveyra: To me.
207 00:18:36.270 ⇒ 00:18:36.830 Nick Anderson: Honestly.
208 00:18:36.830 ⇒ 00:18:39.489 joshuadeveyra: 2324.
209 00:18:42.370 ⇒ 00:18:46.199 Uttam Kumaran: But still you still. Wanna you finally wanna find the next one? Where are you? Gonna find her?
210 00:18:46.730 ⇒ 00:18:58.160 Nick Anderson: Right. And it’s like, when you want to be able to like, make it basically clockwork for yourself. So that like, it’s less effort. And it’s just basically presented on a platter like, I mean.
211 00:18:59.660 ⇒ 00:19:01.349 joshuadeveyra: No, I kinda like the game, though.
212 00:19:02.330 ⇒ 00:19:03.520 Nick Anderson: You like the gate.
213 00:19:05.180 ⇒ 00:19:05.670 Uttam Kumaran: The French.
214 00:19:05.670 ⇒ 00:19:08.020 Nick Anderson: He’s made for the trenches.
215 00:19:09.360 ⇒ 00:19:11.819 Nick Anderson: He’s born in the shadows.
216 00:19:11.820 ⇒ 00:19:13.910 joshuadeveyra: Making one before, where.
217 00:19:15.400 ⇒ 00:19:18.576 Nick Anderson: Oh, man, I love dude! That’s great!
218 00:19:21.320 ⇒ 00:19:27.460 joshuadeveyra: The the. I think the most automation I done I’ve done regarding this is like, you know, in your like.
219 00:19:27.831 ⇒ 00:19:32.950 joshuadeveyra: If you’re using like an apple phone, right? Like you can put like a shortcuts. And then.
220 00:19:33.180 ⇒ 00:19:39.530 joshuadeveyra: like, I have, like, Bb, one bb, 2, bb, 3. And then I say, hey, what’s up? And then, you know, just out there. So I don’t have to type it.
221 00:19:39.530 ⇒ 00:19:41.280 Nick Anderson: No way.
222 00:19:42.270 ⇒ 00:19:48.210 joshuadeveyra: And then, like Caa, one is like, you know, if they reply this like, that’s what I did until I think.
223 00:19:48.210 ⇒ 00:19:48.640 Nick Anderson: Dude.
224 00:19:48.640 ⇒ 00:19:49.310 joshuadeveyra: F, and then.
225 00:19:49.310 ⇒ 00:19:50.070 Nick Anderson: You know what
226 00:19:50.700 ⇒ 00:19:56.799 Nick Anderson: this is the type of shit that I’m actually talking about, where it’s like. Look, I would love that game for people like I know
227 00:19:57.490 ⇒ 00:20:03.819 Nick Anderson: like have a track for people that are just like looking to fully automate like their thing.
228 00:20:03.900 ⇒ 00:20:09.356 Nick Anderson: And then also for people that are like, I wanna meet someone like at a chess club like.
229 00:20:09.660 ⇒ 00:20:10.100 Uttam Kumaran: Yeah.
230 00:20:10.100 ⇒ 00:20:10.889 Nick Anderson: You know.
231 00:20:11.440 ⇒ 00:20:12.410 Nick Anderson: it’s like.
232 00:20:12.410 ⇒ 00:20:12.670 joshuadeveyra: I think.
233 00:20:12.670 ⇒ 00:20:21.299 Nick Anderson: I think that that would be so interesting to like, be able to to say, Hey, look like whatever your thing is like. We will have the the exact playbook for you.
234 00:20:23.030 ⇒ 00:20:23.590 joshuadeveyra: Yeah.
235 00:20:23.890 ⇒ 00:20:24.650 Uttam Kumaran: Great I mean.
236 00:20:24.650 ⇒ 00:20:29.600 joshuadeveyra: And then maybe a twist. You can add this like voice. AI. I think that would be good.
237 00:20:30.600 ⇒ 00:20:31.509 joshuadeveyra: like some people.
238 00:20:31.920 ⇒ 00:20:38.649 joshuadeveyra: Honestly, when I’m on my phone and I talk. I don’t like typing on my phone. So I just talk to the Gpt voice, right?
239 00:20:38.890 ⇒ 00:20:41.820 joshuadeveyra: So I think it’s a bit better like, easier to communicate.
240 00:20:41.820 ⇒ 00:20:42.500 Nick Anderson: Interesting.
241 00:20:44.590 ⇒ 00:20:45.970 Nick Anderson: Very interesting.
242 00:20:47.680 ⇒ 00:20:52.059 Uttam Kumaran: Yeah, I mean, I do. I think you should. I think, with anything in tech
243 00:20:52.160 ⇒ 00:20:54.287 Uttam Kumaran: you should. You should
244 00:20:54.880 ⇒ 00:20:57.480 Uttam Kumaran: capture the demand first, st if you can.
245 00:20:58.618 ⇒ 00:21:01.710 Uttam Kumaran: But that’ll make financing the
246 00:21:01.860 ⇒ 00:21:03.160 Uttam Kumaran: the build.
247 00:21:03.220 ⇒ 00:21:06.979 Uttam Kumaran: or even getting buy in on that way way way easier.
248 00:21:07.170 ⇒ 00:21:10.590 Uttam Kumaran: And you know, like you can get the demand through
249 00:21:10.990 ⇒ 00:21:13.830 Uttam Kumaran: a bunch of different ways. So
250 00:21:13.860 ⇒ 00:21:18.859 Uttam Kumaran: but I do think that the thing with AI is you have to just have to think about the medium really? Well, I think
251 00:21:19.050 ⇒ 00:21:23.809 Uttam Kumaran: I think apps and even websites to some impact are like kind of dying.
252 00:21:24.550 ⇒ 00:21:26.410 Uttam Kumaran: I think this needs to be something in like.
253 00:21:26.410 ⇒ 00:21:27.070 Nick Anderson: It’s next week.
254 00:21:27.070 ⇒ 00:21:30.049 Uttam Kumaran: So either be an imessage like you get a text message with stuff like.
255 00:21:30.050 ⇒ 00:21:30.710 Nick Anderson: Oh, yeah.
256 00:21:30.710 ⇒ 00:21:38.509 Uttam Kumaran: There’s that there’s this Austin, like text message list that I was on where it texts you like events that are going on every
257 00:21:38.830 ⇒ 00:21:47.339 Uttam Kumaran: like week or so like it could be text. It could be Whatsapp. It could be Instagram. But like you want it, you want it to be where people are right.
258 00:21:47.340 ⇒ 00:21:48.480 Nick Anderson: Your day. 11.
259 00:21:48.480 ⇒ 00:21:53.079 Uttam Kumaran: I don’t know if people are gonna be checking like a site for this. So.
260 00:21:53.080 ⇒ 00:21:54.120 Nick Anderson: Oh, agree!
261 00:21:54.120 ⇒ 00:21:54.810 Uttam Kumaran: Yeah.
262 00:21:54.810 ⇒ 00:22:00.230 Nick Anderson: Yeah, I just like it could. It’s kind of crazy to me that like.
263 00:22:00.630 ⇒ 00:22:28.869 Nick Anderson: I guess, like with the Riz, jp, like, that makes a lot more sense like how they’re monetizing like having people go somewhere else, because, like, Oh, you upload your stuff and then like it tells you and then it’s like, also like response stuff. So it’s like, Hey, I’m subscribed and like it would give me the perfect response for this text, or whatever I think that like that’s great. But like you could honestly like, it’s funny, like a lot of business like, unless you have a specialized Llm. I’m realizing like
264 00:22:29.900 ⇒ 00:22:32.320 Nick Anderson: they’ll kind of like kind of fade away.
265 00:22:32.320 ⇒ 00:22:36.155 Uttam Kumaran: No, yeah, I mean just quick money. It’s all quick money stuff like
266 00:22:36.450 ⇒ 00:22:36.870 Nick Anderson: Yeah.
267 00:22:36.870 ⇒ 00:22:38.580 Uttam Kumaran: Which is fine, but like
268 00:22:39.011 ⇒ 00:22:44.820 Uttam Kumaran: I don’t know. It’s there’s gonna be a lot. There’s just gonna be a lot of competition.
269 00:22:46.650 ⇒ 00:22:47.600 joshuadeveyra: If you know.
270 00:22:47.950 ⇒ 00:22:53.450 joshuadeveyra: And then, I think, isn’t this jeopy earning only from ads? Or do they have, like subscription based.
271 00:22:54.280 ⇒ 00:22:56.263 Nick Anderson: I think it’s subscription based.
272 00:22:57.090 ⇒ 00:23:02.386 Nick Anderson: but I mean, I’m sure that they have some sort of ads integration with it.
273 00:23:02.860 ⇒ 00:23:04.559 Nick Anderson: yeah, I but like
274 00:23:04.930 ⇒ 00:23:06.539 Nick Anderson: as far as like
275 00:23:07.040 ⇒ 00:23:15.790 Nick Anderson: I mean, there’s at least my Instagram now, like my ads are just like these platforms. So I’m like just screenshotting and taking a look and like
276 00:23:15.940 ⇒ 00:23:21.018 Nick Anderson: looking at how they structure things each time. It’s just been
277 00:23:21.660 ⇒ 00:23:25.520 Nick Anderson: it’s basically just been the same thing like I respond to messages
278 00:23:25.640 ⇒ 00:23:28.339 Nick Anderson: like they’ll respond to messages for you or whatever
279 00:23:29.010 ⇒ 00:23:30.249 Nick Anderson: and then
280 00:23:30.360 ⇒ 00:23:31.920 Nick Anderson: they’ll audit your profile.
281 00:23:32.520 ⇒ 00:23:33.190 Uttam Kumaran: Yeah.
282 00:23:34.740 ⇒ 00:23:35.850 Uttam Kumaran: I mean, I don’t know.
283 00:23:35.850 ⇒ 00:23:38.919 Nick Anderson: Like specific and catered to like what you want.
284 00:23:39.766 ⇒ 00:23:43.800 Nick Anderson: In a full dating experience, and like
285 00:23:43.880 ⇒ 00:23:44.930 Nick Anderson: context.
286 00:23:45.440 ⇒ 00:23:52.159 Uttam Kumaran: I think I think the in person stuff is gonna be more of where, like the money is, I just don’t.
287 00:23:53.550 ⇒ 00:23:54.220 Uttam Kumaran: yeah.
288 00:23:54.220 ⇒ 00:23:55.420 Nick Anderson: I guess, like on ticket sales.
289 00:23:55.720 ⇒ 00:24:14.799 Nick Anderson: We could have it like gated where it’s like, Hey, like there’s some sort of kick back to us, or even honestly, honestly. I know a lot of like the event like starting in New York. I know a lot of the people that organize those events I could in theory incentivize them to like, come to my thing.
290 00:24:14.800 ⇒ 00:24:16.510 Uttam Kumaran: 100% dude. I mean, this is a newsletter.
291 00:24:16.510 ⇒ 00:24:16.980 Nick Anderson: And then.
292 00:24:17.490 ⇒ 00:24:18.220 Uttam Kumaran: Is this like.
293 00:24:18.220 ⇒ 00:24:19.129 Nick Anderson: And then just rip
294 00:24:19.690 ⇒ 00:24:21.200 Nick Anderson: the yeah.
295 00:24:21.200 ⇒ 00:24:21.960 Uttam Kumaran: Those laws.
296 00:24:21.960 ⇒ 00:24:22.359 Nick Anderson: Want to take.
297 00:24:22.360 ⇒ 00:24:23.209 Uttam Kumaran: Cheers to you.
298 00:24:23.350 ⇒ 00:24:30.876 Uttam Kumaran: You have like promoted events, and you can be like it’s 5 k per slot per email. That’s how all these newsletter things work
299 00:24:32.780 ⇒ 00:24:39.800 Uttam Kumaran: which it’s just like. That’s just the way that game works is like dude. Once you have the audience, it’s really easy to monetize.
300 00:24:40.208 ⇒ 00:24:43.080 Uttam Kumaran: But it’s hard to get an audience like
301 00:24:43.340 ⇒ 00:24:47.070 Uttam Kumaran: with like decent, decent open rates, and like decent click through rates.
302 00:24:47.563 ⇒ 00:25:00.619 Uttam Kumaran: But I don’t think I’ve had the only thing. Oh, actually, I subscribe to one thing that’s like this for a while. I subscribe to an AI job recruiter that took in my resume and sent me jobs only tailored to my resume.
303 00:25:02.150 ⇒ 00:25:07.370 Uttam Kumaran: So this is like probably very similar I could send you. I could send you this link to them.
304 00:25:07.530 ⇒ 00:25:09.900 Uttam Kumaran: It’s literally like a fake woman that they set up.
305 00:25:10.090 ⇒ 00:25:14.210 Uttam Kumaran: And she like takes in your resume. And she emails you like, like, it’s her emailing you.
306 00:25:14.240 ⇒ 00:25:16.090 Uttam Kumaran: But the whole thing is AI.
307 00:25:16.420 ⇒ 00:25:18.080 Nick Anderson: Can you reply and be like.
308 00:25:18.080 ⇒ 00:25:24.679 Uttam Kumaran: You can reply. Well, I replied, and I was like, Hey, I’m interested in like talking
309 00:25:24.920 ⇒ 00:25:33.770 Uttam Kumaran: to the founders. And then it emailed me back being like that’s not acceptable. And then someone from their staff emailed me back, being like, we’re happy to talk so.
310 00:25:33.770 ⇒ 00:25:34.610 Nick Anderson: That’s so funny.
311 00:25:37.290 ⇒ 00:25:37.980 Uttam Kumaran: Oh!
312 00:25:38.500 ⇒ 00:25:40.310 Nick Anderson: But yeah, I mean, I think.
313 00:25:40.580 ⇒ 00:25:41.850 Nick Anderson: yeah, like.
314 00:25:42.540 ⇒ 00:25:49.200 Nick Anderson: if there’s a way to collaborate in so far as like just getting the newsletter thing up
315 00:25:49.760 ⇒ 00:25:52.460 Nick Anderson: and just aggregating this information in a
316 00:25:52.490 ⇒ 00:25:55.009 Nick Anderson: I don’t know. I mean, like I don’t know how that would just actually look.
317 00:25:55.010 ⇒ 00:26:02.420 Uttam Kumaran: No, I mean, I mean, if you want to think about a test, then let’s let we can think about something small that’s like, hey, we want to run this
318 00:26:02.440 ⇒ 00:26:09.620 Uttam Kumaran: in Boston, or we want to run this somewhere, and then we just like how easy would us for us to put together
319 00:26:09.800 ⇒ 00:26:16.789 Uttam Kumaran: what’s necessary for one test like, if you can get 50 people to fill out a type form, is that enough for us to send out those 50 emails.
320 00:26:17.520 ⇒ 00:26:26.919 Uttam Kumaran: And then, like, I mean, I think we could like I’d be down to spend some time just on that. And then you could. And then, if it’s looks like it has juice, then we can spend more time like.
321 00:26:27.290 ⇒ 00:26:31.850 Nick Anderson: Yeah, perfect. That’s like, that’s yeah. That’s exactly what I would.
322 00:26:32.020 ⇒ 00:26:33.829 Nick Anderson: Yeah, that’s perfect.
323 00:26:33.830 ⇒ 00:26:34.490 Uttam Kumaran: Yeah.
324 00:26:34.750 ⇒ 00:26:40.019 Nick Anderson: Cause. If it works, it works, then it’s like, okay. Well, then, like, we’re gonna monetize and like fucking, we’ll all win.
325 00:26:40.020 ⇒ 00:26:46.260 Uttam Kumaran: No, I like the Newsletter game, but dude. The only thing I don’t like is, I don’t like the building consumer stuff because I’m not.
326 00:26:46.290 ⇒ 00:26:54.420 Uttam Kumaran: I like working for businesses, cause it’s it’s like. But again, if if you’re like cool, I’ll run the outwardly facing stuff.
327 00:26:54.420 ⇒ 00:26:56.430 Nick Anderson: Oh, yeah, I got that shit dog.
328 00:26:56.830 ⇒ 00:26:57.896 Nick Anderson: Don’t worry.
329 00:26:58.580 ⇒ 00:27:05.090 Uttam Kumaran: That’s for me. It’s like, okay, we can. I know we can build a back end for something that’s really probably like in a week or less. Yeah.
330 00:27:05.110 ⇒ 00:27:09.650 joshuadeveyra: Yeah. But another thing, though, is that isn’t there like already.
331 00:27:09.960 ⇒ 00:27:13.080 joshuadeveyra: like custom Gpts like Chris Gpt.
332 00:27:13.440 ⇒ 00:27:15.780 joshuadeveyra: so I think one way you could approach this.
333 00:27:17.060 ⇒ 00:27:20.760 joshuadeveyra: So, for example, there’s like a girl you like right? There’s a specific person.
334 00:27:21.501 ⇒ 00:27:33.090 joshuadeveyra: I’m not saying, because I’m not sure it’s even ethical. But what I did before was I created like this, basically sample agent? Right? Let’s like, what type of girl she is right. Is she like
335 00:27:33.240 ⇒ 00:27:41.659 joshuadeveyra: some some sort of a god. Is she blonde? Is she brunette? And then behaviors type stuff like that? And then it tells you how to talk to that person based on like.
336 00:27:41.830 ⇒ 00:27:56.549 joshuadeveyra: even like their star signs, or something like that. Right? So it’s like, cause. Everyone’s like, General. But if you like, sell it to like tailored, you know, few to a specific like, Hey, you can input info about the person you like.
337 00:27:56.650 ⇒ 00:28:06.750 joshuadeveyra: and then, you know, we’ll help you get you know, acquainted with them, or, like, get in touch with them. That’s something I did before. Not proud of it. But hey, kind of work.
338 00:28:09.110 ⇒ 00:28:09.720 joshuadeveyra: Yeah.
339 00:28:09.720 ⇒ 00:28:11.060 Nick Anderson: I mean dude like
340 00:28:12.480 ⇒ 00:28:14.870 Nick Anderson: again. It’s not out of the realm.
341 00:28:14.870 ⇒ 00:28:16.080 Uttam Kumaran: Morality, of.
342 00:28:16.570 ⇒ 00:28:19.529 Nick Anderson: Like, I think that that like that, like.
343 00:28:19.750 ⇒ 00:28:23.759 Nick Anderson: I’m agnostic when it comes to like the direction of, like
344 00:28:23.830 ⇒ 00:28:43.240 Nick Anderson: the data, like the specifics of like what targets we’re hitting, I mean granted, though, like, yes, obviously at first, st like, we need to be very targeted towards specific groups and whatnot. But like, I think that this could be basically like, Hey, do you want like an AI waifu and or do you want like, I don’t know, like
345 00:28:43.270 ⇒ 00:28:49.100 Nick Anderson: someone that likes gardening that you met at like a gardening conference, or like, you know, just like boring shit, too. Like
346 00:28:50.140 ⇒ 00:28:51.539 Nick Anderson: I think that’s like.
347 00:28:52.960 ⇒ 00:28:54.279 joshuadeveyra: Personalities together.
348 00:28:54.730 ⇒ 00:28:59.889 joshuadeveyra: So I think that’s like most of the issue. Even I sometimes still run to that issue where
349 00:29:00.220 ⇒ 00:29:06.440 joshuadeveyra: I can’t find anything, you know, that’s related to both of us, and I can’t start the conversation, and it’s hard.
350 00:29:08.150 ⇒ 00:29:08.610 Nick Anderson: Yeah.
351 00:29:08.610 ⇒ 00:29:14.599 Uttam Kumaran: I mean, the the last point I’ll make is like, if you start collecting information about all these people, you can probably connect them yourself after
352 00:29:15.060 ⇒ 00:29:15.960 Uttam Kumaran: like.
353 00:29:16.440 ⇒ 00:29:17.459 Nick Anderson: That’s also true. And like
354 00:29:18.120 ⇒ 00:29:26.929 Nick Anderson: relationships or people that like have, like matched on a different platform like they can connect up their data points of like relevant. Whatever the things that are like, I said before.
355 00:29:26.930 ⇒ 00:29:27.350 Uttam Kumaran: Yeah.
356 00:29:27.350 ⇒ 00:29:39.380 Nick Anderson: Or like your Google or your photos, or whatever with the locations on them. You could see like where you’ve been, and like what places that you like, based on your list, like you could totally have some sort of synergies like. Between
357 00:29:39.580 ⇒ 00:29:40.699 Nick Anderson: all these
358 00:29:41.520 ⇒ 00:29:42.430 Nick Anderson: information.
359 00:29:42.850 ⇒ 00:29:46.100 Uttam Kumaran: I’m gonna say, I’ll send you the AI job recruiter thing and a couple of.
360 00:29:46.100 ⇒ 00:29:46.990 Nick Anderson: How do you stop?
361 00:29:46.990 ⇒ 00:29:48.190 Uttam Kumaran: We’re kind of like, Inspo.
362 00:29:48.890 ⇒ 00:29:50.709 Uttam Kumaran: And then, yeah.
363 00:29:50.710 ⇒ 00:29:56.029 Nick Anderson: What are yeah. So what are what’s what’s the best next steps here? Like, I guess just.
364 00:29:56.430 ⇒ 00:29:57.310 Uttam Kumaran: Next step.
365 00:29:57.310 ⇒ 00:29:57.600 Nick Anderson: All right.
366 00:29:57.600 ⇒ 00:30:01.140 Uttam Kumaran: I think is like, tell me one, tell me if you actually want to spend time on it.
367 00:30:01.980 ⇒ 00:30:03.260 Nick Anderson: I do no like I.
368 00:30:03.260 ⇒ 00:30:06.839 Uttam Kumaran: Yeah, cool. Then then I think the next thing is basically
369 00:30:06.970 ⇒ 00:30:09.160 Uttam Kumaran: if you can, if you can get
370 00:30:09.320 ⇒ 00:30:17.150 Uttam Kumaran: 50 people signed up, or or what we could even do from our side is, maybe, Miguel, we can spend an hour and think about like what questions we would want to ask.
371 00:30:17.230 ⇒ 00:30:19.510 Uttam Kumaran: and then let’s see if we can, if we can.
372 00:30:19.620 ⇒ 00:30:22.240 Uttam Kumaran: What question we want to ask, to get a great prompt
373 00:30:22.800 ⇒ 00:30:26.520 Uttam Kumaran: to then build like a pretty personalized event list.
374 00:30:26.720 ⇒ 00:30:28.020 Uttam Kumaran: and then
375 00:30:28.950 ⇒ 00:30:32.209 Uttam Kumaran: we can send that back to you. And then if if you think you can get
376 00:30:32.910 ⇒ 00:30:34.880 Uttam Kumaran: 50 people or something to
377 00:30:35.290 ⇒ 00:30:39.070 Uttam Kumaran: to like, sign up for something we could get tested out, basically.
378 00:30:39.070 ⇒ 00:30:46.229 Nick Anderson: Yeah, and I’ll and I’ll like pay for paid ads, too, like I don’t care like I’ll put money behind, like, you know, and we can
379 00:30:46.280 ⇒ 00:30:48.149 Nick Anderson: get creative with shit.
380 00:30:48.150 ⇒ 00:30:54.940 Uttam Kumaran: The biggest thing is like we will. We’ll we can just take Boston as a good example. And so that way, if we’ll do like a 1 time scrape of like
381 00:30:55.060 ⇒ 00:30:59.520 Uttam Kumaran: events and stuff. And then basically, we’ll do a test with, like both of us.
382 00:31:00.720 ⇒ 00:31:04.549 Uttam Kumaran: in terms of like, what questions we answer, and then what events it gives you.
383 00:31:04.830 ⇒ 00:31:08.929 Uttam Kumaran: and then we’ll see like, if there, we’ll just basically try to see if there’s something.
384 00:31:09.290 ⇒ 00:31:11.640 Uttam Kumaran: So there’s something there like if it looks.
385 00:31:11.640 ⇒ 00:31:12.310 Nick Anderson: Right.
386 00:31:12.310 ⇒ 00:31:13.020 Uttam Kumaran: Visa.
387 00:31:14.165 ⇒ 00:31:20.340 Nick Anderson: We’ll when should we set up a follow up meeting like you have a calendar, or whatever, or.
388 00:31:20.810 ⇒ 00:31:24.229 Uttam Kumaran: Yeah, I’m gonna be fucked
389 00:31:24.780 ⇒ 00:31:27.040 Uttam Kumaran: next week. Can we do it?
390 00:31:27.040 ⇒ 00:31:27.830 Nick Anderson: Okay.
391 00:31:27.830 ⇒ 00:31:28.100 Uttam Kumaran: Regular.
392 00:31:28.100 ⇒ 00:31:35.460 Nick Anderson: You. You pause for a second. You you like lag. You’re like I’m gonna be fucked. And then it just like stopped. I’m like, Oh, my God!
393 00:31:35.460 ⇒ 00:31:36.697 Uttam Kumaran: About next week.
394 00:31:37.570 ⇒ 00:31:38.410 Nick Anderson: Okay.
395 00:31:38.410 ⇒ 00:31:41.899 Uttam Kumaran: I’m just like, very, very busy. So maybe give us like, 2 weeks.
396 00:31:42.770 ⇒ 00:31:44.530 Nick Anderson: Fine. Yeah. How about
397 00:31:45.550 ⇒ 00:31:49.260 Nick Anderson: shit? I mean, I’m gonna be in New York, Columbus day weekend.
398 00:31:49.260 ⇒ 00:31:51.409 joshuadeveyra: You’re not gonna be here with them next next week.
399 00:31:52.600 ⇒ 00:31:56.769 Uttam Kumaran: Oh, I’m not. Yeah. I’m not gonna be here a week ago. I’m actually taking vacation.
400 00:31:58.820 ⇒ 00:32:01.000 Nick Anderson: Wow! Look at you!
401 00:32:01.000 ⇒ 00:32:02.029 Uttam Kumaran: That’s crazy.
402 00:32:02.576 ⇒ 00:32:09.739 Uttam Kumaran: So maybe we could do the week after. I know that’s 3 weeks from now, but I promise if it’s on the calendar. It’ll happen.
403 00:32:09.920 ⇒ 00:32:10.530 Uttam Kumaran: Okay.
404 00:32:10.530 ⇒ 00:32:11.090 Nick Anderson: Yeah.
405 00:32:12.130 ⇒ 00:32:17.169 Uttam Kumaran: So why don’t I? Why don’t I just send? I’ll just send the same time, or like a little bit. I’ll send earlier
406 00:32:17.200 ⇒ 00:32:20.932 Uttam Kumaran: 3 weeks from now and then we can move it as needed.
407 00:32:21.220 ⇒ 00:32:24.331 Nick Anderson: Say, Miguel, some, some z’s maybe next time.
408 00:32:24.920 ⇒ 00:32:27.259 Uttam Kumaran: Are you on? Are you on slack
409 00:32:27.730 ⇒ 00:32:32.169 Uttam Kumaran: like? If I add you to slack? Can we just start a channel around this.
410 00:32:32.170 ⇒ 00:32:32.820 Nick Anderson: Yeah.
411 00:32:33.273 ⇒ 00:32:37.170 Uttam Kumaran: It probably won’t be like too much. But that way we can just like centralize everything.
412 00:32:37.280 ⇒ 00:32:38.390 Uttam Kumaran: Yeah.
413 00:32:38.610 ⇒ 00:32:43.279 Nick Anderson: And I may send random shit to of things that I see and like what you know.
414 00:32:43.490 ⇒ 00:32:46.149 Nick Anderson: just random stuff let like I’m thinking about.
415 00:32:46.150 ⇒ 00:32:49.200 Uttam Kumaran: Yeah. So let’s do that. And that way I can send you a bunch of this stuff
416 00:32:49.520 ⇒ 00:32:52.089 Uttam Kumaran: and let’s talk at least in 3 weeks.
417 00:32:52.730 ⇒ 00:32:53.530 Uttam Kumaran: Cool.
418 00:32:54.120 ⇒ 00:32:55.199 Uttam Kumaran: Okay, dude.
419 00:32:55.480 ⇒ 00:32:57.500 Nick Anderson: I love it. Dude! This will be so fun.
420 00:32:57.500 ⇒ 00:33:03.819 Uttam Kumaran: Keep thinking of like, keep thinking of AI ideas now like, that’s the thing is like, I would work on something consumer
421 00:33:03.830 ⇒ 00:33:07.999 Uttam Kumaran: if we have someone like if we have someone like you who’s like able to take care of like
422 00:33:08.050 ⇒ 00:33:10.800 Uttam Kumaran: the people facing content shit because I am like.
423 00:33:10.980 ⇒ 00:33:12.330 joshuadeveyra: I can’t do that.
424 00:33:12.700 ⇒ 00:33:13.160 Uttam Kumaran: I mean.
425 00:33:13.160 ⇒ 00:33:14.070 Nick Anderson: Hey! Man!
426 00:33:14.070 ⇒ 00:33:18.849 Uttam Kumaran: I’m starting to do that for our business, and it’s like pulling teeth like I’m not.
427 00:33:19.630 ⇒ 00:33:25.429 Uttam Kumaran: But I will say, if there’s anything you want us to build, we can build it like I’m very, very confident. So.
428 00:33:25.650 ⇒ 00:33:30.769 joshuadeveyra: Especially if it’s like conversational stuff, because I’ve built like over probably 50 of that stuff.
429 00:33:30.990 ⇒ 00:33:31.630 Nick Anderson: Wow!
430 00:33:32.490 ⇒ 00:33:33.390 Nick Anderson: Right.
431 00:33:33.810 ⇒ 00:33:35.300 Nick Anderson: I’m I’m excited.
432 00:33:35.500 ⇒ 00:33:36.559 Nick Anderson: I’m very excited.
433 00:33:36.560 ⇒ 00:33:38.470 Uttam Kumaran: Let’s land people some more dates.
434 00:33:38.770 ⇒ 00:33:40.043 Nick Anderson: Yes, sir.
435 00:33:42.330 ⇒ 00:33:43.600 Uttam Kumaran: All right fellas
436 00:33:43.770 ⇒ 00:33:45.140 Uttam Kumaran: enjoy the event.
437 00:33:45.560 ⇒ 00:33:49.599 Nick Anderson: Yeah, I will absolutely take care of you guys. Get some sleep. Alright.
438 00:33:50.010 ⇒ 00:33:50.550 joshuadeveyra: Yeah.
439 00:33:52.070 ⇒ 00:33:54.400 joshuadeveyra: Alright. See, you guys, bye-bye.