Meeting Title: Uttam <> Patrick-Weekly Date: 2024-06-20 Meeting participants: Patrick Trainer, Uttam Kumaran
WEBVTT
1 00:07:50.880 ⇒ 00:07:51.620 Uttam Kumaran: Yo.
2 00:07:58.620 ⇒ 00:07:59.410 Patrick Trainer: Yo.
3 00:08:01.320 ⇒ 00:08:02.260 Uttam Kumaran: What’s up? Dude.
4 00:08:02.590 ⇒ 00:08:03.379 Patrick Trainer: How’s it going.
5 00:08:04.460 ⇒ 00:08:07.159 Uttam Kumaran: Good just doing some outdoor time.
6 00:08:07.600 ⇒ 00:08:10.040 Patrick Trainer: Heard. That is it, Mahot as hell? There.
7 00:08:10.470 ⇒ 00:08:15.919 Uttam Kumaran: It is kind of hot. It’s not that bad, though. It rained here today. So it’s kind of like this, weird like, muggy.
8 00:08:16.710 ⇒ 00:08:17.240 Uttam Kumaran: Yeah.
9 00:08:17.680 ⇒ 00:08:18.120 Patrick Trainer: Okay.
10 00:08:19.450 ⇒ 00:08:20.640 Patrick Trainer: Heard that.
11 00:08:20.880 ⇒ 00:08:21.860 Uttam Kumaran: How’s the day been.
12 00:08:22.745 ⇒ 00:08:31.144 Patrick Trainer: Pretty solid. Yeah. Went and did lunch. Got distracted with some things. And now picking backup
13 00:08:31.990 ⇒ 00:08:33.839 Patrick Trainer: finishing up these actions.
14 00:08:34.159 ⇒ 00:08:35.742 Uttam Kumaran: Cool. But yeah.
15 00:08:36.270 ⇒ 00:08:37.520 Patrick Trainer: For the most part they’re done.
16 00:08:39.000 ⇒ 00:08:39.659 Uttam Kumaran: Yeah.
17 00:08:39.870 ⇒ 00:08:44.384 Uttam Kumaran: kind of the presentation took a lot out of me. So I took a little break for lunch, and then,
18 00:08:44.720 ⇒ 00:08:48.250 Uttam Kumaran: it’s been working last few hours. All my sales stuff. Basically.
19 00:08:48.470 ⇒ 00:08:51.339 Uttam Kumaran: what I work with Jared on is
20 00:08:51.450 ⇒ 00:08:55.779 Uttam Kumaran: I’m using this like speech to text thing to basically record, like
21 00:08:55.980 ⇒ 00:09:09.339 Uttam Kumaran: kind of like data stories about things we’ve done for people or about basically me rambling about like snowflake or rambling about a case study. And then we wrote a custom Gpp to basically take that and format it into the exact format we need for the website.
22 00:09:10.201 ⇒ 00:09:22.410 Uttam Kumaran: So it’s like, really helpful. And basically, I’m doing it in the hopes that like, okay, once I, we kind of get the process down. Basically, the ask is just for people to record like interesting case studies. They may have that
23 00:09:22.687 ⇒ 00:09:35.579 Uttam Kumaran: about like past clients or people you work for. That could be interesting. And I think a lot of what’s gonna actually attract people’s attention is like these like stores. Where basically talk about this is one time where we have to do these interesting things. These are interesting solutions.
24 00:09:35.830 ⇒ 00:09:38.390 Uttam Kumaran: We’re kind of like creating a bunch of content for the site
25 00:09:39.034 ⇒ 00:09:41.946 Uttam Kumaran: and then planning out a bit of like
26 00:09:42.430 ⇒ 00:09:45.317 Uttam Kumaran: Spent some time this morning with Robert.
27 00:09:46.580 ⇒ 00:09:51.259 Uttam Kumaran: basically thinking through, like how to target more like manufacturing and logistics
28 00:09:51.290 ⇒ 00:09:53.970 Uttam Kumaran: company, and like kind of taking through that angle. So
29 00:09:54.170 ⇒ 00:09:55.090 Uttam Kumaran: been good.
30 00:09:55.460 ⇒ 00:09:59.390 Patrick Trainer: Heard that. Yeah, that that that makes sense. If you want to shoot over
31 00:09:59.510 ⇒ 00:10:01.470 Patrick Trainer: some examples that the
32 00:10:01.630 ⇒ 00:10:02.670 Patrick Trainer: be pretty cool.
33 00:10:03.050 ⇒ 00:10:06.180 Uttam Kumaran: Yeah, I’ll show you. I’ll just share with you one that we’re
34 00:10:07.580 ⇒ 00:10:09.420 Uttam Kumaran: like working on now.
35 00:10:13.240 ⇒ 00:10:18.350 Uttam Kumaran: And you could feel free to add to this list. Because basically, we’re we’re like working through this. But
36 00:10:19.083 ⇒ 00:10:23.379 Uttam Kumaran: I’m basically starting to add a bunch of things this like sales material list.
37 00:10:23.690 ⇒ 00:10:25.998 Uttam Kumaran: And we’re going through and
38 00:10:27.240 ⇒ 00:10:33.940 Uttam Kumaran: just like starting to record like transcripts. And for one of them, for like shipping costs and advertising, if you go to that we
39 00:10:34.800 ⇒ 00:10:38.399 Uttam Kumaran: we basically recorded
40 00:10:38.760 ⇒ 00:10:43.759 Uttam Kumaran: like, I talked about kind of shipping stuff. And then we, you’ll see in that page at the bottom. There’s like
41 00:10:43.920 ⇒ 00:10:46.390 Uttam Kumaran: the actual case study that resulted in it, so.
42 00:10:46.660 ⇒ 00:10:48.399 Patrick Trainer: Okay? Oh, nice.
43 00:10:49.420 ⇒ 00:10:51.779 Patrick Trainer: nice, nice, nice, not nice.
44 00:10:52.650 ⇒ 00:10:55.750 Patrick Trainer: Okay. And then you got everything in there.
45 00:10:57.530 ⇒ 00:10:58.640 Patrick Trainer: Okay.
46 00:11:04.170 ⇒ 00:11:09.349 Uttam Kumaran: So we’re just like slowly going through to make sure we like the website has like pages about all the tools we use and
47 00:11:09.500 ⇒ 00:11:12.266 Uttam Kumaran: all the different case studies
48 00:11:13.630 ⇒ 00:11:14.760 Patrick Trainer: Oh, nice. Yeah.
49 00:11:14.760 ⇒ 00:11:15.789 Uttam Kumaran: But yeah, and then.
50 00:11:15.790 ⇒ 00:11:18.050 Patrick Trainer: I’m looking at the like. The prompts.
51 00:11:18.440 ⇒ 00:11:19.260 Patrick Trainer: Thanks exactly.
52 00:11:19.260 ⇒ 00:11:19.990 Uttam Kumaran: Exactly.
53 00:11:19.990 ⇒ 00:11:21.740 Patrick Trainer: Yeah, that’s that’s pretty tight.
54 00:11:25.444 ⇒ 00:11:26.060 Patrick Trainer: Cool.
55 00:11:29.140 ⇒ 00:11:30.440 Patrick Trainer: Yeah, this looks good.
56 00:11:33.540 ⇒ 00:11:40.740 Uttam Kumaran: Yeah. So in the service offering pages, you can kind of see. And then what we’re doing is we’re basically like getting better at each of the prompts, including like
57 00:11:41.040 ⇒ 00:11:46.659 Uttam Kumaran: talking about brain forge, and then each piece, and then ideally, it makes it easier for everyone else
58 00:11:46.670 ⇒ 00:11:50.390 Uttam Kumaran: to just like record a little snippet about something, and then
59 00:11:50.400 ⇒ 00:11:55.989 Uttam Kumaran: kind of that’s like all we need to make like a full downstream line of content which includes like
60 00:11:56.090 ⇒ 00:12:03.612 Uttam Kumaran: case study, like maybe a blog post, but then also like content, for, like Linkedin and Twitter, that will just help turn out
61 00:12:04.040 ⇒ 00:12:10.010 Uttam Kumaran: So that’s ideally is like kind of turning one piece of content into like 6 or 7, that then can like.
62 00:12:10.010 ⇒ 00:12:10.960 Patrick Trainer: Right.
63 00:12:10.960 ⇒ 00:12:11.780 Uttam Kumaran: You know. So that’s like.
64 00:12:11.780 ⇒ 00:12:12.260 Patrick Trainer: And just.
65 00:12:12.260 ⇒ 00:12:13.690 Uttam Kumaran: Yeah, exactly.
66 00:12:13.690 ⇒ 00:12:16.370 Patrick Trainer: Get eyeballs or just clicks, really.
67 00:12:16.610 ⇒ 00:12:26.920 Uttam Kumaran: And then what we’re gonna be doing the sales side is one. When people find us. I want there to be a plethora of stuff that they kind of see like, oh, that’s something that I’m kind of dealing with. Or when we go target.
68 00:12:26.930 ⇒ 00:12:33.840 Uttam Kumaran: For example, if we were to target a logistics I would put in front of people the I would send ahead of time like the shipping case study that we did.
69 00:12:33.860 ⇒ 00:12:36.130 Uttam Kumaran: And basically they’re like this may be something that you’re dealing with.
70 00:12:36.831 ⇒ 00:12:40.060 Uttam Kumaran: And then that way it gives us something to talk about and get on their radar.
71 00:12:40.462 ⇒ 00:12:43.250 Uttam Kumaran: So this is like the 1st start of us kind of like
72 00:12:43.810 ⇒ 00:12:45.230 Uttam Kumaran: getting into this world.
73 00:12:46.590 ⇒ 00:12:47.340 Patrick Trainer: Nice.
74 00:12:50.340 ⇒ 00:12:52.190 Patrick Trainer: Yeah, this, this is good.
75 00:12:53.160 ⇒ 00:12:53.910 Patrick Trainer: like this.
76 00:12:59.660 ⇒ 00:13:00.610 Patrick Trainer: oh, yeah.
77 00:13:04.600 ⇒ 00:13:05.200 Patrick Trainer: how’s that?
78 00:13:05.200 ⇒ 00:13:05.899 Uttam Kumaran: So, yeah.
79 00:13:05.900 ⇒ 00:13:09.990 Patrick Trainer: How’s that going like, or where are you at right now with it.
80 00:13:10.000 ⇒ 00:13:12.160 Patrick Trainer: I guess. Like I see all these.
81 00:13:13.120 ⇒ 00:13:14.935 Patrick Trainer: When’s the 1st post.
82 00:13:15.750 ⇒ 00:13:21.250 Uttam Kumaran: Yeah. So I think hopefully, by the end of next week we have all these materials done
83 00:13:21.390 ⇒ 00:13:25.945 Uttam Kumaran: like, I spend like an hour today, just like recording thoughts about a bunch of these.
84 00:13:26.690 ⇒ 00:13:30.879 Uttam Kumaran: and then I think we’re kind of making a decision on targeting.
85 00:13:30.910 ⇒ 00:13:37.040 Uttam Kumaran: like manufacturing and sort of like warehousing and logistics, because Robert’s background is kind of in that.
86 00:13:37.090 ⇒ 00:13:40.440 Uttam Kumaran: And we’re kind of like tag teaming some of this sales stuff.
87 00:13:40.716 ⇒ 00:13:46.840 Uttam Kumaran: And then basically, what we’re gonna do is like, have all the case studies and services ready pick like, you know. Maybe like.
88 00:13:47.270 ⇒ 00:13:48.970 Uttam Kumaran: I don’t know as many
89 00:13:49.461 ⇒ 00:13:54.589 Uttam Kumaran: of those companies as we can find and basically identify 10 to 15 people at those companies
90 00:13:54.700 ⇒ 00:14:01.769 Uttam Kumaran: to like Linkedin, DM, email, all and just basically like run just like, go through the sales motion.
91 00:14:02.116 ⇒ 00:14:11.589 Uttam Kumaran: Ideally. Some of those are here in Austin, or like in the central Texas area, so I can go see them in person. But that’s kind of like the motion. And then
92 00:14:11.600 ⇒ 00:14:26.229 Uttam Kumaran: basically, those people get put on cycles. It’s like, okay, we have an initial call. We have like a reach out and ideally get them on a call, and then like, go through that process. But this time it’s less like the way I did it initially where I was just calling anybody. Now we’re gonna focus on the industry.
93 00:14:26.300 ⇒ 00:14:29.800 Uttam Kumaran: And then when when we get their attention, I want to make sure when they look me up
94 00:14:29.810 ⇒ 00:14:43.239 Uttam Kumaran: any of our team up, or any of, or the company. They basically see that we’re like active. And we have stuff in that space. So before I was calling people like nothing. And so now that we have these stories, we’ll turn that into content for the site.
95 00:14:43.290 ⇒ 00:14:46.534 Uttam Kumaran: it’ll help us like get to those next calls. And basically
96 00:14:47.310 ⇒ 00:14:50.910 Uttam Kumaran: Microsoft. So hopefully, by the end of the next week, we should be in place for
97 00:14:51.030 ⇒ 00:14:54.753 Uttam Kumaran: kind of like everybody. And I’m gonna have the interns kind of post and
98 00:14:55.080 ⇒ 00:14:59.710 Uttam Kumaran: I can have enough for everybody. And then again, the people of people write content or case studies
99 00:14:59.760 ⇒ 00:15:08.470 Uttam Kumaran: like. It’ll be easy for us to give people like, Hey, if you want to grow your linkedin, or just like start posting stuff, you can. We’ll give you like snippets of how to basically like
100 00:15:08.730 ⇒ 00:15:17.850 Uttam Kumaran: how to post this sort of stuff not really on like a don’t talk about this, but more of like a here’s how to. Actually, here’s like fun ways of talking on Linkedin that like
101 00:15:17.940 ⇒ 00:15:22.060 Uttam Kumaran: we’ll drum up good content. We’ll drum up good engagement and isn’t like
102 00:15:22.330 ⇒ 00:15:26.719 Uttam Kumaran: isn’t like here’s like the top 3 like, click, baby shit.
103 00:15:26.730 ⇒ 00:15:30.299 Uttam Kumaran: That’s more of like, here’s how like we wanna like talk about stuff, you know.
104 00:15:30.300 ⇒ 00:15:31.370 Patrick Trainer: Right, yeah.
105 00:15:31.370 ⇒ 00:15:39.160 Uttam Kumaran: I’ll do it honestly. And then also, I think I’m gonna I’m gonna try to see whether I can get everybody to like start liking and commenting, and like that. The reason is.
106 00:15:39.190 ⇒ 00:15:52.317 Uttam Kumaran: it’s a really good way of drumming up like business, if you’re like, if your likes and comments start to get pushed to the top, that people see it, and Linkedin will become a main distribution point for us for new business.
107 00:15:52.630 ⇒ 00:15:53.050 Patrick Trainer: Okay.
108 00:15:53.050 ⇒ 00:15:57.060 Uttam Kumaran: But there are some businesses that will still like not be on Linkedin. So that’s where
109 00:15:57.120 ⇒ 00:16:05.649 Uttam Kumaran: I’m thinking about going to some of these like weird, obscure conferences. For, like manufacturing, or things like that, where we can just get in the room with the decision makers.
110 00:16:05.650 ⇒ 00:16:06.120 Patrick Trainer: Right.
111 00:16:06.120 ⇒ 00:16:14.579 Uttam Kumaran: Just just like try to share and schmooze so that’s like the next kind of motion. So in the next 3 months we’re kind of like moving on this whole thing.
112 00:16:14.580 ⇒ 00:16:17.467 Patrick Trainer: Right, I’ll I’ll say one thing about
113 00:16:18.140 ⇒ 00:16:22.469 Patrick Trainer: like logistics and shipping companies. Those they’re
114 00:16:22.490 ⇒ 00:16:30.110 Patrick Trainer: a lot of them are really like, tied or like, really heavily integrated into like Erp systems.
115 00:16:30.510 ⇒ 00:16:31.940 Patrick Trainer: And so.
116 00:16:32.280 ⇒ 00:16:36.600 Patrick Trainer: if we like one of the barriers that I see
117 00:16:36.910 ⇒ 00:16:47.819 Patrick Trainer: with that with with them specifically, is not necessarily like th, the data, or that we can put it together. It’s like, how do we integrate with those systems like.
118 00:16:47.820 ⇒ 00:16:48.450 Uttam Kumaran: Yeah.
119 00:16:48.450 ⇒ 00:16:53.156 Patrick Trainer: Can we integrate with, like the snowflake or 5 tran, have, like a sap integration.
120 00:16:53.810 ⇒ 00:16:54.849 Uttam Kumaran: Yeah, yeah, yeah, okay.
121 00:16:54.850 ⇒ 00:16:56.950 Patrick Trainer: I think one’s called like udu
122 00:16:57.300 ⇒ 00:17:00.830 Uttam Kumaran: Yeah, yeah, or like birthday, or any of these ones? Yeah.
123 00:17:00.830 ⇒ 00:17:06.710 Patrick Trainer: Right? Right? Right? It’s it’s basically just yeah. It’s like a specialized app. But it’s for
124 00:17:06.790 ⇒ 00:17:10.440 Patrick Trainer: like inventory tracking and invoicing, and
125 00:17:10.690 ⇒ 00:17:14.469 Patrick Trainer: all of that and warehouse refillment. And
126 00:17:15.010 ⇒ 00:17:16.930 Patrick Trainer: yeah, it’s a whole bunch of bunch of.
127 00:17:16.930 ⇒ 00:17:23.299 Uttam Kumaran: So maybe we should make sure that basically, we hit every angle which is like, yeah, so 500 is great sap
128 00:17:23.807 ⇒ 00:17:30.239 Uttam Kumaran: like related connectors that are like both. They support on Prem like hybrid. A bunch of yeah.
129 00:17:30.240 ⇒ 00:17:30.930 Patrick Trainer: Okay. Well.
130 00:17:30.930 ⇒ 00:17:31.270 Uttam Kumaran: So.
131 00:17:31.486 ⇒ 00:17:31.920 Patrick Trainer: Fuck. Yeah.
132 00:17:31.920 ⇒ 00:17:35.720 Uttam Kumaran: So. But it’s like we should write up. We should basically like, have something about that which is like.
133 00:17:36.160 ⇒ 00:17:46.339 Uttam Kumaran: how would we handle a snowflake, an sap thing. And like, here’s the advantage of using spot tran stuff like that. So that’s a great point. Like, I basically want to hit this like the nice thing about
134 00:17:46.440 ⇒ 00:17:52.309 Uttam Kumaran: what I wanted to do is like, think about 2, one, or one to 3 industries, and just like hit them over the head with stuff
135 00:17:52.843 ⇒ 00:17:59.649 Uttam Kumaran: instead of like thinking really broadly, because it’ll help us really target not only who we go after, but then the content we have
136 00:18:00.071 ⇒ 00:18:05.310 Uttam Kumaran: and we can just kind of get to that zone. Find the key players try to like, do this motion.
137 00:18:05.750 ⇒ 00:18:10.609 Uttam Kumaran: Instead of being like we’ll work with anybody which we could. But it’s hard to target. And like
138 00:18:10.900 ⇒ 00:18:12.830 Uttam Kumaran: worked out a list. Basically.
139 00:18:13.300 ⇒ 00:18:14.987 Patrick Trainer: How do you?
140 00:18:16.490 ⇒ 00:18:18.379 Patrick Trainer: How did you find Dan and Ben.
141 00:18:19.350 ⇒ 00:18:21.650 Uttam Kumaran: I found Dan and batten through
142 00:18:21.860 ⇒ 00:18:33.049 Uttam Kumaran: like a friend of a friend. So Brice Brice’s friend, was doing like freelance work for them. But it was like, these guys are way too hard to deal with, and was like trying to get out. And then I was like, I’ll take it, basically.
143 00:18:33.080 ⇒ 00:18:36.819 Patrick Trainer: Alright. Alright, yeah, I was. I was cause you mentioned
144 00:18:37.220 ⇒ 00:18:39.300 Patrick Trainer: the earth.
145 00:18:39.750 ⇒ 00:18:49.090 Patrick Trainer: I see. Think I think about like what kind of people would want to use like this in analytics package, right? And it’s somebody that is doing
146 00:18:49.550 ⇒ 00:18:54.980 Patrick Trainer: a relatively like like a non trivial, trivial amount of
147 00:18:55.350 ⇒ 00:19:00.165 Patrick Trainer: throughput or like value right? And then where they’re
148 00:19:01.320 ⇒ 00:19:06.490 Patrick Trainer: left short in that either. Whatever platforms
149 00:19:06.700 ⇒ 00:19:16.590 Patrick Trainer: analytics suite so like shopify’s analytics are pretty shit, and you can’t tie them altogether so like what comes to my mind with with that
150 00:19:16.600 ⇒ 00:19:19.870 Patrick Trainer: is like some of these, like medium or large, like
151 00:19:19.910 ⇒ 00:19:22.080 Patrick Trainer: Etsy shops, and those.
152 00:19:22.080 ⇒ 00:19:23.040 Uttam Kumaran: Sure. Yeah.
153 00:19:23.040 ⇒ 00:19:28.190 Patrick Trainer: Those are generally single owner, and, like that owner.
154 00:19:28.380 ⇒ 00:19:34.019 Patrick Trainer: like their face, is like the profile, and so like, that’s pretty good signal.
155 00:19:34.100 ⇒ 00:19:35.570 Patrick Trainer: And then.
156 00:19:36.580 ⇒ 00:19:42.450 Patrick Trainer: like squarespace users, or like those those sorts of like online shops.
157 00:19:42.990 ⇒ 00:19:44.480 Patrick Trainer: I’m thinking, our
158 00:19:46.750 ⇒ 00:19:50.890 Patrick Trainer: not low hanging fruit, but like low, low lift.
159 00:19:51.180 ⇒ 00:20:02.509 Uttam Kumaran: The thing is it has they have to be able to afford us. Which means the problem is like, if you’re comparing us to like, shopify dashboard. And you’re like, well, I’m already paying shopify. Then it’s gonna be a dead end. Because.
160 00:20:02.950 ⇒ 00:20:07.090 Uttam Kumaran: like, I’m basically gonna be like, you have to at least pass like 10 KA month.
161 00:20:07.330 ⇒ 00:20:11.650 Uttam Kumaran: The thing is is like, I thought, I, what these guys doing, which is like 20 or 30 million.
162 00:20:11.780 ⇒ 00:20:14.070 Uttam Kumaran: we really can help them, and.
163 00:20:14.070 ⇒ 00:20:14.410 Patrick Trainer: Right.
164 00:20:14.410 ⇒ 00:20:28.710 Uttam Kumaran: Month is the his drop in the bucket for what we’re gonna do. But at the same time it’s like, if we go downstream. Our. What we do just has to be lighter. And it’s like, that’s the thing is where it’s like, okay, if they just want like us to stand up real, and it’s maybe like.
165 00:20:28.990 ⇒ 00:20:34.729 Uttam Kumaran: and then have like a maintenance thing. Then maybe we do that. But also you’re right is that we can go scrape all that, and have that.
166 00:20:34.850 ⇒ 00:20:39.010 Uttam Kumaran: but for these medium large at sea shops also. For Fran, I was looking at franchise owners
167 00:20:39.230 ⇒ 00:20:45.649 Uttam Kumaran: like franchise owners like who have a couple of these franchises or want some of this data.
168 00:20:45.740 ⇒ 00:20:47.920 Uttam Kumaran: They’re in a growth mode, right? Like
169 00:20:48.090 ⇒ 00:20:59.979 Uttam Kumaran: they’re not like sustaining. They’re like, we want to grow. We want to buy another one, or we want to optimize. That’s the people we want to go after who are like, okay, cool. We do want to consolidate multiple systems to one and like, have this reporting.
170 00:20:59.980 ⇒ 00:21:00.410 Patrick Trainer: Right.
171 00:21:00.410 ⇒ 00:21:07.680 Uttam Kumaran: Yeah, that’s exactly like what I’m thinking about, too, is like between manufacturing. It’s like logistics. And then maybe like, just franchise it as a whole
172 00:21:09.260 ⇒ 00:21:13.309 Uttam Kumaran: in every case. The buyer is not that sophisticated? But
173 00:21:13.420 ⇒ 00:21:17.210 Uttam Kumaran: one thing that we’re also thinking about doing is basically trying to have like
174 00:21:17.380 ⇒ 00:21:36.330 Uttam Kumaran: a real demo app set up that we could use for pitches, and like, have something on the site that people can go explore real just through us, or something like that or explore evidence because we now have a pu. We have like a public evidence that we could basically throw up there because a lot of this stuff, I think in data is it’s a lot less show and tell. But
175 00:21:36.540 ⇒ 00:21:40.120 Uttam Kumaran: now that we have some great looking tools, I think they could play in our favor.
176 00:21:40.120 ⇒ 00:21:40.500 Patrick Trainer: Right.
177 00:21:40.500 ⇒ 00:21:43.490 Uttam Kumaran: I was thinking of just hooking up like a fake rail to
178 00:21:43.920 ⇒ 00:22:01.260 Uttam Kumaran: I was thinking of hooking up a fake rail to our internal snowflake, basically loading in a bunch of like fake data from the marketplace. And that way for demo calls. I could show real as like a thing that we can do things like that, because previously I just talked through what Dbt and stuff is, but they never see anything. Which is the problem.
179 00:22:01.260 ⇒ 00:22:02.070 Patrick Trainer: Right?
180 00:22:03.630 ⇒ 00:22:05.379 Patrick Trainer: Yeah, no, that makes sense.
181 00:22:05.420 ⇒ 00:22:09.690 Patrick Trainer: Now, I’m I don’t know. My mind’s going through like a
182 00:22:09.990 ⇒ 00:22:11.860 Patrick Trainer: obscure industries.
183 00:22:12.820 ⇒ 00:22:13.950 Patrick Trainer: It’s a.
184 00:22:14.680 ⇒ 00:22:19.310 Uttam Kumaran: For example, like, we’re thinking about going to like this conference called like Fab Tech Orlando, which is just like
185 00:22:19.320 ⇒ 00:22:22.970 Uttam Kumaran: fabrication technology, $50 ago.
186 00:22:23.050 ⇒ 00:22:29.769 Uttam Kumaran: and I’m just like dude. We go in here and just like run it up. Just meet every person 5 super industry heads
187 00:22:29.850 ⇒ 00:22:33.559 Uttam Kumaran: try to give a talk or something about how we do like data.
188 00:22:33.620 ⇒ 00:22:38.369 Uttam Kumaran: That’s the sort of stuff where I think no other data consultancy is gonna show up to stuff like that
189 00:22:38.550 ⇒ 00:22:39.210 Uttam Kumaran: right?
190 00:22:40.090 ⇒ 00:22:43.430 Uttam Kumaran: But again, we act that I want to be targeted in that like.
191 00:22:43.550 ⇒ 00:22:49.160 Uttam Kumaran: I want to go where the data other data people aren’t going. Like all the data people are focused on Ecom and stuff like that which is
192 00:22:49.250 ⇒ 00:22:52.229 Uttam Kumaran: so, there’s a lot of people. And those are people on Linkedin. But
193 00:22:52.360 ⇒ 00:22:56.190 Uttam Kumaran: it’s a tough industry to compete in, because there’s a lot of software solutions that claim to deal with.
194 00:22:56.190 ⇒ 00:22:58.519 Patrick Trainer: Yeah, that’s yeah. That makes sense. And I.
195 00:22:58.520 ⇒ 00:22:59.170 Uttam Kumaran: Yeah, yeah.
196 00:22:59.590 ⇒ 00:23:02.626 Patrick Trainer: I guess that also makes sense. Why, that was like my first.st
197 00:23:02.880 ⇒ 00:23:03.240 Uttam Kumaran: Yeah.
198 00:23:03.240 ⇒ 00:23:04.849 Patrick Trainer: Kind of thing going there.
199 00:23:04.850 ⇒ 00:23:05.310 Uttam Kumaran: Yeah.
200 00:23:07.950 ⇒ 00:23:09.170 Patrick Trainer: Oh, interesting!
201 00:23:16.580 ⇒ 00:23:25.409 Uttam Kumaran: Yeah. And like again, we built, we built a relationship with like ups and stuff like that. Some of these stories are interesting, which is what I want to post about, which is like some of these interesting stories.
202 00:23:25.520 ⇒ 00:23:37.740 Uttam Kumaran: And like just people having data stories. I think people talk a lot. We don’t have to talk about clients particular, but just posting like there’s interesting time where this data challenge. I don’t see any of that. The only thing I see on Linkedin is about data is like.
203 00:23:38.309 ⇒ 00:23:42.200 Uttam Kumaran: it’s like hot takes about like iceberg or something. I’m like dude. Nobody.
204 00:23:42.200 ⇒ 00:23:42.500 Patrick Trainer: Yeah.
205 00:23:42.800 ⇒ 00:23:45.790 Uttam Kumaran: This is like for us. And like, I’m not buying data service.
206 00:23:45.790 ⇒ 00:23:46.480 Patrick Trainer: Choir.
207 00:23:46.940 ⇒ 00:23:50.779 Uttam Kumaran: Yeah. And like, we’re mean, you aren’t buying data services right? Like, so
208 00:23:50.810 ⇒ 00:23:55.879 Uttam Kumaran: I wanna I wanna post if I’m gonna post it all, it’s gotta be about like
209 00:23:56.310 ⇒ 00:24:00.500 Uttam Kumaran: businesses and like business models and like stuff that our customers want to read.
210 00:24:00.970 ⇒ 00:24:03.339 Uttam Kumaran: You know, the problem is, I see a
211 00:24:03.590 ⇒ 00:24:06.519 Uttam Kumaran: I see a lot of stuff about. I see a lot of like lists.
212 00:24:06.700 ⇒ 00:24:10.330 Uttam Kumaran: I see a lot of like heavy text. A lot of like
213 00:24:10.700 ⇒ 00:24:14.690 Uttam Kumaran: Bi is dead and shit like that. No interest in like that purpose.
214 00:24:14.860 ⇒ 00:24:15.890 Patrick Trainer: Yeah, yeah.
215 00:24:15.890 ⇒ 00:24:21.227 Uttam Kumaran: Like I’m I’m down to talk about it with you, or like people in data as like, you know, stuff to talk about.
216 00:24:21.450 ⇒ 00:24:23.660 Patrick Trainer: Yeah, blast it to.
217 00:24:23.920 ⇒ 00:24:24.410 Uttam Kumaran: Yeah.
218 00:24:24.410 ⇒ 00:24:24.940 Patrick Trainer: Old.
219 00:24:24.940 ⇒ 00:24:25.620 Uttam Kumaran: I don’t know.
220 00:24:25.620 ⇒ 00:24:28.829 Patrick Trainer: What college person, or something like that, like.
221 00:24:28.830 ⇒ 00:24:29.350 Uttam Kumaran: Yeah.
222 00:24:29.350 ⇒ 00:24:30.680 Patrick Trainer: And work in the industry.
223 00:24:30.970 ⇒ 00:24:32.140 Uttam Kumaran: Yeah, so.
224 00:24:32.560 ⇒ 00:24:32.910 Uttam Kumaran: yeah.
225 00:24:32.910 ⇒ 00:24:33.720 Patrick Trainer: Like sense.
226 00:24:36.320 ⇒ 00:24:37.560 Patrick Trainer: yeah, cool.
227 00:24:38.210 ⇒ 00:24:40.120 Patrick Trainer: Yeah. I like manufacturing
228 00:24:40.210 ⇒ 00:24:42.430 Patrick Trainer: that that makes a lot of sense.
229 00:24:42.430 ⇒ 00:24:44.979 Uttam Kumaran: Yeah, I’m thinking, logistics and manufacturing.
230 00:24:45.615 ⇒ 00:24:49.080 Uttam Kumaran: I have a friend here that’s working with like a pipe.
231 00:24:49.180 ⇒ 00:24:53.899 Uttam Kumaran: like a big like piping company. They say they build like these large oil pipes.
232 00:24:53.990 ⇒ 00:24:55.960 Uttam Kumaran: right? Like in Houston.
233 00:24:56.394 ⇒ 00:25:02.750 Uttam Kumaran: So, stuff like that where it’s like, oh, they probably have a lot of data. They’re probably not using it. But the buyers really unsophisticated.
234 00:25:02.750 ⇒ 00:25:03.270 Patrick Trainer: Right.
235 00:25:03.589 ⇒ 00:25:06.779 Uttam Kumaran: So I’m like finding ways. But again, basically, it’s like.
236 00:25:06.860 ⇒ 00:25:11.080 Uttam Kumaran: what conference you guys go to where you all read or like kind of things like that. And
237 00:25:11.290 ⇒ 00:25:14.790 Uttam Kumaran: again, I think, narrowing down on one or 2 industries gonna help me just like
238 00:25:14.950 ⇒ 00:25:17.959 Uttam Kumaran: really dial in on like who the big players are and like.
239 00:25:18.370 ⇒ 00:25:21.750 Uttam Kumaran: where are they getting any support from? And like? What are the things they want to hear.
240 00:25:21.960 ⇒ 00:25:22.830 Patrick Trainer: Right
241 00:25:23.080 ⇒ 00:25:24.140 Patrick Trainer: thinking of
242 00:25:24.890 ⇒ 00:25:26.690 Patrick Trainer: like, what about breweries?
243 00:25:27.580 ⇒ 00:25:35.239 Uttam Kumaran: You could do breweries, too. The problem is all the bigger breweries. What happens in the brewery industries? They get gobbled up by Ab, typically.
244 00:25:35.240 ⇒ 00:25:36.249 Patrick Trainer: Yeah, that’s true.
245 00:25:36.250 ⇒ 00:25:43.740 Uttam Kumaran: So like this, the moment you reach any sort of like near like escape velocity, Ab will come in and basically be like either, like we buy you or
246 00:25:44.010 ⇒ 00:25:46.440 Uttam Kumaran: like, we’re just gonna kind of blackball you
247 00:25:48.420 ⇒ 00:25:55.740 Uttam Kumaran: And I, I also think the the name of the game is to be places with margin, because the thing is that they’re like are like a restaurant, even though like a restaurant.
248 00:25:55.740 ⇒ 00:25:56.780 Patrick Trainer: Yeah, maybe do like.
249 00:25:56.780 ⇒ 00:25:59.470 Uttam Kumaran: Maybe a Wendy does like 10 million dollars in revenue.
250 00:25:59.660 ⇒ 00:26:01.329 Uttam Kumaran: but like the margins aren’t good.
251 00:26:01.330 ⇒ 00:26:01.760 Patrick Trainer: Right.
252 00:26:01.760 ⇒ 00:26:08.830 Uttam Kumaran: And they, you know, so they’re all the clients we don’t like are the people that are always going to be like penny pinching, and things like that because
253 00:26:08.980 ⇒ 00:26:11.949 Uttam Kumaran: they’re not focused on. They’re focused on like survival.
254 00:26:12.340 ⇒ 00:26:12.990 Patrick Trainer: Right ancool.
255 00:26:12.990 ⇒ 00:26:19.119 Uttam Kumaran: I want us to get in places where they’ll like focus on growth and like expanding, you know, really quickly. And they want to do with data.
256 00:26:19.490 ⇒ 00:26:26.339 Uttam Kumaran: a lot of a lot of these bigger franchises and things I think they have like they have like solutions that the mothership will kind of disperse
257 00:26:26.460 ⇒ 00:26:29.529 Uttam Kumaran: for their operations where they centralize all the data to like
258 00:26:29.850 ⇒ 00:26:34.420 Uttam Kumaran: the main company. And maybe these guys don’t have it budget to basically make decisions on their own.
259 00:26:34.420 ⇒ 00:26:35.300 Patrick Trainer: Right.
260 00:26:35.300 ⇒ 00:26:42.780 Uttam Kumaran: Well, I mean again, I’m willing to hit whoever. And the so one is like, I want everybody to be equipped with like materials, and like the pitch. But also
261 00:26:42.940 ⇒ 00:26:47.800 Uttam Kumaran: it’s it’s gonna be helpful for us to just focus on like going after one target.
262 00:26:47.840 ⇒ 00:26:52.299 Uttam Kumaran: having everything ready for that, talking about that sort of stuff posting about the sort of stuff
263 00:26:53.150 ⇒ 00:26:54.110 Uttam Kumaran: right?
264 00:26:54.870 ⇒ 00:26:58.439 Uttam Kumaran: And like knocking down basically like cold calling, cold emailing.
265 00:26:59.230 ⇒ 00:27:00.070 Patrick Trainer: Right, right.
266 00:27:00.070 ⇒ 00:27:01.099 Uttam Kumaran: Our way through.
267 00:27:03.290 ⇒ 00:27:08.419 Patrick Trainer: Have you thought about? Like grocery store chains like local local grocery stores?
268 00:27:08.650 ⇒ 00:27:09.950 Uttam Kumaran: No, I know there’s so much.
269 00:27:09.950 ⇒ 00:27:10.319 Patrick Trainer: Get it back.
270 00:27:10.320 ⇒ 00:27:11.760 Uttam Kumaran: Sensitive. They’re so expensive.
271 00:27:11.760 ⇒ 00:27:13.479 Patrick Trainer: Like a bucky’s or something. Yeah.
272 00:27:13.480 ⇒ 00:27:17.340 Uttam Kumaran: Yeah, yeah, yeah. I bet I went to a buckies a lot 2 months ago for the 1st time.
273 00:27:17.960 ⇒ 00:27:19.590 Patrick Trainer: You’d never been in year.
274 00:27:19.590 ⇒ 00:27:20.720 Uttam Kumaran: No, I never been.
275 00:27:20.720 ⇒ 00:27:22.379 Patrick Trainer: You’re in the land of puppies.
276 00:27:22.540 ⇒ 00:27:26.199 Uttam Kumaran: It was. It was interesting. I didn’t. Desserts were good.
277 00:27:26.200 ⇒ 00:27:27.809 Patrick Trainer: It’s in. It’s insane.
278 00:27:28.310 ⇒ 00:27:29.940 Patrick Trainer: Yeah, like you say, I mean, they probably.
279 00:27:29.940 ⇒ 00:27:32.470 Uttam Kumaran: Do a ton of money. But
280 00:27:33.080 ⇒ 00:27:34.639 Uttam Kumaran: no, I’m like.
281 00:27:35.485 ⇒ 00:27:35.850 Patrick Trainer: Yeah.
282 00:27:35.850 ⇒ 00:27:37.999 Uttam Kumaran: I think we’re gonna we’re gonna find out like what.
283 00:27:38.750 ⇒ 00:27:41.020 Patrick Trainer: It’s yeah. It’s trial.
284 00:27:41.510 ⇒ 00:27:42.210 Uttam Kumaran: Yeah.
285 00:27:42.490 ⇒ 00:27:44.826 Uttam Kumaran: it’s gonna be like cold calling, basically for a while.
286 00:27:45.419 ⇒ 00:27:49.090 Uttam Kumaran: But I’m pumped. I’m I think it’s gonna be good. It’s gonna be good motion. And
287 00:27:50.560 ⇒ 00:28:00.750 Uttam Kumaran: yeah, I think we. I think now that we have a bunch of people, the company, too. I think all of us kind of like getting into rhythm and like maybe maybe just blocking up time for everybody just to post on Linkedin and stuff and just drumming up business.
288 00:28:00.750 ⇒ 00:28:01.540 Patrick Trainer: Right.
289 00:28:01.540 ⇒ 00:28:12.330 Uttam Kumaran: It’s like the way that we’re gonna make this happen. So I’m gonna kind of guinea pig it and then figure out like what’s easily reproducible that, like it’s a really light effort for everybody.
290 00:28:12.330 ⇒ 00:28:13.080 Patrick Trainer: Right.
291 00:28:13.700 ⇒ 00:28:14.530 Uttam Kumaran: Nice.
292 00:28:14.530 ⇒ 00:28:14.910 Patrick Trainer: Yeah.
293 00:28:14.910 ⇒ 00:28:15.600 Uttam Kumaran: Yeah.
294 00:28:15.970 ⇒ 00:28:21.000 Uttam Kumaran: and that it’s nice because we can invest in AI from the start. Basically, I’m like these processes, basically like.
295 00:28:21.000 ⇒ 00:28:21.610 Patrick Trainer: Yeah.
296 00:28:21.610 ⇒ 00:28:22.310 Uttam Kumaran: You know.
297 00:28:24.210 ⇒ 00:28:29.680 Uttam Kumaran: Like, if we can go from like this, conversations like Reblog post, let’s say, before it’d have to be like
298 00:28:29.700 ⇒ 00:28:32.970 Uttam Kumaran: you have to write one. It’s like, if they’re being Google Docs, it’s an editor.
299 00:28:33.610 ⇒ 00:28:35.510 Uttam Kumaran: you know. I don’t want to do any of that.
300 00:28:35.950 ⇒ 00:28:39.529 Uttam Kumaran: I wanted you. I wanted to write it. And then, if you have things, you need to change
301 00:28:39.630 ⇒ 00:28:45.735 Uttam Kumaran: you, you record what you want to change. You plug that into Gpt with the existing one, and it has it, and that’s it.
302 00:28:46.030 ⇒ 00:28:49.549 Uttam Kumaran: We don’t need to have an editorial staff, or like content. People.
303 00:28:49.550 ⇒ 00:28:54.189 Patrick Trainer: Right? Are you using the like whisper, feature, or.
304 00:28:54.190 ⇒ 00:28:59.997 Uttam Kumaran: No, I’m using this thing called. I’m using this thing called aqua. It’s like they they like trained
305 00:29:00.350 ⇒ 00:29:01.639 Uttam Kumaran: a model
306 00:29:01.890 ⇒ 00:29:04.256 Uttam Kumaran: that’s like very focused on
307 00:29:04.930 ⇒ 00:29:06.450 Uttam Kumaran: Here, I’ll send it to you on slide.
308 00:29:06.560 ⇒ 00:29:09.537 Uttam Kumaran: They train this model that’s very focused on
309 00:29:11.380 ⇒ 00:29:12.580 Uttam Kumaran: speech attacks.
310 00:29:14.081 ⇒ 00:29:17.829 Uttam Kumaran: And they’re like a Y Combinator Company. And it’s fucking amazing.
311 00:29:18.020 ⇒ 00:29:19.500 Uttam Kumaran: really, really good.
312 00:29:19.710 ⇒ 00:29:21.189 Patrick Trainer: Okay? Then that’s cool.
313 00:29:23.660 ⇒ 00:29:25.419 Uttam Kumaran: yeah, I use it every day.
314 00:29:26.720 ⇒ 00:29:27.570 Patrick Trainer: Oh, really.
315 00:29:27.820 ⇒ 00:29:29.690 Uttam Kumaran: Yeah, I use it every day for some.
316 00:29:30.199 ⇒ 00:29:30.569 Patrick Trainer: Wow!
317 00:29:31.550 ⇒ 00:29:44.279 Uttam Kumaran: Cause. I I try to do this anytime. I do long form stuff. And I basically pass whatever it records into. But basically they have stats about how basically, they have a lot of things like you could be talking like this, you could say, actually, delete the last sentence
318 00:29:44.300 ⇒ 00:29:46.560 Uttam Kumaran: you do in basically in line editing.
319 00:29:47.070 ⇒ 00:29:47.450 Patrick Trainer: Yeah.
320 00:29:47.450 ⇒ 00:29:49.520 Uttam Kumaran: With your voice while you talk.
321 00:29:49.540 ⇒ 00:29:52.759 Uttam Kumaran: and it’s just good at picking up like colloquial things, and.
322 00:29:53.360 ⇒ 00:29:53.840 Patrick Trainer: Right.
323 00:29:55.630 ⇒ 00:30:01.068 Uttam Kumaran: and this is, it’s in a document editor, type format so like whisper would be good. But then it’s like.
324 00:30:01.340 ⇒ 00:30:02.340 Patrick Trainer: Can’t tell. Yeah, that makes sense.
325 00:30:02.340 ⇒ 00:30:08.479 Uttam Kumaran: Yeah. So this like, I’ll be driving. And I’m like talking through things and like having it record and
326 00:30:10.540 ⇒ 00:30:12.339 Uttam Kumaran: getting better at it. So.
327 00:30:12.600 ⇒ 00:30:13.780 Patrick Trainer: Okay. Hell. Yeah.
328 00:30:14.130 ⇒ 00:30:18.840 Uttam Kumaran: Yeah, try it out with stuff like you ever like a long form thing to write. Basically, I’m gonna
329 00:30:18.980 ⇒ 00:30:23.999 Uttam Kumaran: hopefully, ideally, have people try to record like, it’s kind of like a little bit weird. I wish.
330 00:30:24.300 ⇒ 00:30:28.060 Uttam Kumaran: yeah, I wish longer term. Maybe we have something that like interviews you almost.
331 00:30:28.170 ⇒ 00:30:30.039 Uttam Kumaran: Is it a little bit better than
332 00:30:30.280 ⇒ 00:30:34.889 Uttam Kumaran: sometimes. I’ll be talking through stuff, and I’m like, if someone just asked me like one or 2 follow questions, it’d be great.
333 00:30:34.890 ⇒ 00:30:35.430 Patrick Trainer: Yeah.
334 00:30:35.873 ⇒ 00:30:39.420 Uttam Kumaran: But maybe it’s like a mix of this.
335 00:30:39.910 ⇒ 00:30:42.439 Uttam Kumaran: And like Gpt asking you stuff
336 00:30:43.182 ⇒ 00:30:46.309 Uttam Kumaran: or I mean, I could probably ask Gpt to interview.
337 00:30:46.320 ⇒ 00:30:49.840 Uttam Kumaran: but then it interrupts, and sometimes it’s not great. So.
338 00:30:49.840 ⇒ 00:30:50.630 Patrick Trainer: Right.
339 00:30:51.132 ⇒ 00:30:54.640 Uttam Kumaran: Maybe we maybe we kind of build our own. I don’t know
340 00:30:55.260 ⇒ 00:31:03.890 Uttam Kumaran: cause again. It’s like just I wanted to do an interview up for each of us for like key stories, basically. And we could do that. Then we could get a lot of knowledge out of everybody. Basically.
341 00:31:04.160 ⇒ 00:31:04.850 Patrick Trainer: Yeah.
342 00:31:06.240 ⇒ 00:31:07.560 Patrick Trainer: combine
343 00:31:07.800 ⇒ 00:31:12.190 Patrick Trainer: Youtube videos, if we or if if you can pipe a Youtube video into it.
344 00:31:12.560 ⇒ 00:31:13.140 Uttam Kumaran: Yeah.
345 00:31:13.140 ⇒ 00:31:15.600 Patrick Trainer: That’d be pretty sweet, and then cut through and.
346 00:31:16.190 ⇒ 00:31:19.880 Uttam Kumaran: I mean, maybe we could even have these Zoom Meetings. And we could just basically do like.
347 00:31:20.270 ⇒ 00:31:22.779 Uttam Kumaran: I’ll interview you about like something.
348 00:31:22.980 ⇒ 00:31:24.850 Uttam Kumaran: and then just take that transcript.
349 00:31:24.850 ⇒ 00:31:26.049 Patrick Trainer: Yeah, that makes sense.
350 00:31:26.540 ⇒ 00:31:29.089 Uttam Kumaran: Takes a little bit more resources. But
351 00:31:29.480 ⇒ 00:31:30.220 Uttam Kumaran: of
352 00:31:32.830 ⇒ 00:31:33.295 Uttam Kumaran: yeah.
353 00:31:34.090 ⇒ 00:31:35.539 Uttam Kumaran: trying to make it easier.
354 00:31:36.680 ⇒ 00:31:37.970 Patrick Trainer: Yeah, yeah, yeah.
355 00:31:38.690 ⇒ 00:31:40.809 Patrick Trainer: yeah. I mean, I’m all about
356 00:31:40.980 ⇒ 00:31:42.130 Patrick Trainer: spending
357 00:31:42.540 ⇒ 00:31:44.930 Patrick Trainer: 10 or a week to automate like.
358 00:31:44.930 ⇒ 00:31:45.190 Uttam Kumaran: Yes.
359 00:31:45.450 ⇒ 00:31:47.064 Patrick Trainer: Small tasks, so.
360 00:31:48.140 ⇒ 00:31:51.600 Uttam Kumaran: Well, I hate this. I it’s sick so hard to do content stuff.
361 00:31:51.820 ⇒ 00:31:52.505 Uttam Kumaran: But
362 00:31:54.110 ⇒ 00:31:55.010 Uttam Kumaran: yeah.
363 00:31:56.400 ⇒ 00:32:02.610 Uttam Kumaran: yeah, I haven’t really kept up with, like, I don’t think there’s been any major update stuff on it. I didn’t really get what the Duct Tb
364 00:32:02.720 ⇒ 00:32:06.260 Uttam Kumaran: news release like what was in there that was like really pressing.
365 00:32:06.910 ⇒ 00:32:09.179 Patrick Trainer: Read in their like 1 point. Oh.
366 00:32:09.330 ⇒ 00:32:10.130 Uttam Kumaran: Yeah.
367 00:32:11.040 ⇒ 00:32:11.610 Patrick Trainer: It
368 00:32:11.830 ⇒ 00:32:15.539 Patrick Trainer: wasn’t so much like features, but it was
369 00:32:18.150 ⇒ 00:32:20.839 Patrick Trainer: there’s stability. And then
370 00:32:20.950 ⇒ 00:32:22.580 Patrick Trainer: I mean the there’s that
371 00:32:22.630 ⇒ 00:32:24.460 Patrick Trainer: guaranteed backwards
372 00:32:24.680 ⇒ 00:32:25.360 Patrick Trainer: a.
373 00:32:25.360 ⇒ 00:32:25.990 Uttam Kumaran: I don’t know.
374 00:32:26.389 ⇒ 00:32:26.790 Patrick Trainer: But
375 00:32:26.930 ⇒ 00:32:29.180 Patrick Trainer: so like that’s huge.
376 00:32:29.340 ⇒ 00:32:30.620 Patrick Trainer: And
377 00:32:34.060 ⇒ 00:32:36.180 Patrick Trainer: there’s something else I can’t remember.
378 00:32:36.830 ⇒ 00:32:37.680 Patrick Trainer: But
379 00:32:39.870 ⇒ 00:32:43.609 Patrick Trainer: yeah, no, I agree with you that it it’s not like
380 00:32:43.700 ⇒ 00:32:48.940 Patrick Trainer: it wasn’t a huge release where they’re like, have the these crazy wild features. But
381 00:32:49.290 ⇒ 00:32:50.110 Uttam Kumaran: Yeah.
382 00:32:51.310 ⇒ 00:32:52.489 Patrick Trainer: Let’s see.
383 00:32:53.611 ⇒ 00:32:59.390 Uttam Kumaran: I mean, they did have a bunch of issues. They close, but I couldn’t really see anything like that would have affected us.
384 00:33:02.820 ⇒ 00:33:03.850 Patrick Trainer: Where
385 00:33:05.740 ⇒ 00:33:07.399 Patrick Trainer: 1 point? Oh.
386 00:33:09.030 ⇒ 00:33:10.050 Patrick Trainer: okay.
387 00:33:10.520 ⇒ 00:33:11.589 Patrick Trainer: make him say.
388 00:33:19.670 ⇒ 00:33:21.110 Patrick Trainer: okay, yeah, it’s
389 00:33:21.730 ⇒ 00:33:23.820 Patrick Trainer: stability. And
390 00:33:28.690 ⇒ 00:33:29.830 Patrick Trainer: yeah, mostly.
391 00:33:30.210 ⇒ 00:33:31.659 Patrick Trainer: mostly stability
392 00:33:36.540 ⇒ 00:33:37.220 Patrick Trainer: at
393 00:33:38.062 ⇒ 00:33:40.069 Patrick Trainer: what is this one?
394 00:33:43.980 ⇒ 00:33:46.299 Patrick Trainer: They can make extensions
395 00:33:47.090 ⇒ 00:33:49.420 Patrick Trainer: updates easier.
396 00:33:55.292 ⇒ 00:33:58.450 Patrick Trainer: checkpoints don’t block new connections.
397 00:33:59.070 ⇒ 00:34:00.010 Uttam Kumaran: He! He!
398 00:34:02.820 ⇒ 00:34:04.259 Patrick Trainer: This seems all like
399 00:34:05.670 ⇒ 00:34:10.054 Patrick Trainer: support for hugging face. It seems this seems mostly like geared towards
400 00:34:10.650 ⇒ 00:34:12.469 Patrick Trainer: like Mother Dock, which.
401 00:34:12.850 ⇒ 00:34:13.759 Uttam Kumaran: Yeah, I understand.
402 00:34:13.760 ⇒ 00:34:14.670 Patrick Trainer: That’s the
403 00:34:15.492 ⇒ 00:34:17.420 Patrick Trainer: that’s their money maker.
404 00:34:17.429 ⇒ 00:34:18.289 Uttam Kumaran: Money makers.
405 00:34:18.290 ⇒ 00:34:21.249 Patrick Trainer: Yeah, they like, they have a really interesting
406 00:34:22.600 ⇒ 00:34:33.810 Patrick Trainer: like company board, like they have the. There’s like, Duct Tb Labs, which are the developers of Duct Tb. Which is then owned by the foundation.
407 00:34:34.120 ⇒ 00:34:34.574 Uttam Kumaran: Yeah.
408 00:34:35.030 ⇒ 00:34:36.090 Patrick Trainer: And then.
409 00:34:37.297 ⇒ 00:34:39.839 Patrick Trainer: mother, duck is
410 00:34:40.659 ⇒ 00:34:45.320 Patrick Trainer: a spin off of labs, and that’s like their for profit.
411 00:34:47.080 ⇒ 00:34:48.510 Patrick Trainer: and so like
412 00:34:49.530 ⇒ 00:34:58.149 Patrick Trainer: it’s kind of like how Openai has, like all these like layers of abstractions, so that they can be both like a for profit company.
413 00:34:58.490 ⇒ 00:34:59.620 Patrick Trainer: and
414 00:34:59.770 ⇒ 00:35:02.119 Patrick Trainer: like a nonprofit, and then
415 00:35:02.370 ⇒ 00:35:04.200 Patrick Trainer: insulated from
416 00:35:04.270 ⇒ 00:35:06.589 Patrick Trainer: like board votes. Somehow.
417 00:35:06.740 ⇒ 00:35:10.149 Patrick Trainer: it’s there’s there’s there’s some real like trickery
418 00:35:10.360 ⇒ 00:35:12.230 Patrick Trainer: in it. But
419 00:35:15.930 ⇒ 00:35:16.790 Patrick Trainer: okay?
420 00:35:17.860 ⇒ 00:35:21.490 Patrick Trainer: And then they got materialized relations.
421 00:35:21.980 ⇒ 00:35:24.530 Patrick Trainer: And then column data def
422 00:35:25.420 ⇒ 00:35:26.450 Patrick Trainer: interesting.
423 00:35:28.190 ⇒ 00:35:32.200 Uttam Kumaran: I wish we were spending more time and evidence. I may like, try and do some stuff
424 00:35:32.650 ⇒ 00:35:34.329 Uttam Kumaran: next week, while I have something like.
425 00:35:34.330 ⇒ 00:35:35.280 Patrick Trainer: Oh, yeah.
426 00:35:36.500 ⇒ 00:35:42.870 Uttam Kumaran: I think it’s tough for everybody to learn, especially for Jacob, but, like dude, it’s like looks so nice. I wanted to speak with yourself.
427 00:35:43.100 ⇒ 00:35:43.850 Patrick Trainer: Yeah.
428 00:35:57.570 ⇒ 00:35:59.934 Uttam Kumaran: Like dude. Look at this thing on evidence.
429 00:36:01.640 ⇒ 00:36:05.460 Uttam Kumaran: they added, Slider. So you can basically do like forecast and stuff really nicely. Yeah.
430 00:36:05.500 ⇒ 00:36:06.279 Patrick Trainer: Oh, yeah.
431 00:36:06.670 ⇒ 00:36:07.240 Uttam Kumaran: But so.
432 00:36:07.240 ⇒ 00:36:08.719 Patrick Trainer: Dynamic inputs.
433 00:36:15.290 ⇒ 00:36:16.300 Uttam Kumaran: So nice.
434 00:36:16.980 ⇒ 00:36:18.710 Patrick Trainer: Yeah, and it’s really smooth.
435 00:36:18.710 ⇒ 00:36:21.450 Uttam Kumaran: And the map stuff like I haven’t even done that. I haven’t
436 00:36:21.470 ⇒ 00:36:27.099 Uttam Kumaran: fucked around anything on maps, but like this would be like something great for cool parts.
437 00:36:27.680 ⇒ 00:36:28.390 Patrick Trainer: Right.
438 00:36:30.527 ⇒ 00:36:32.330 Uttam Kumaran: Let me just rip this this weekend.
439 00:36:32.330 ⇒ 00:36:33.030 Patrick Trainer: Yeah.
440 00:36:35.980 ⇒ 00:36:37.990 Uttam Kumaran: Interactive maps component.
441 00:36:40.200 ⇒ 00:36:41.900 Uttam Kumaran: Let me look up evidence.
442 00:36:42.610 ⇒ 00:36:43.950 Uttam Kumaran: Okay, let’s see.
443 00:36:49.710 ⇒ 00:36:52.000 Uttam Kumaran: yeah, like we should fucking. Do this.
444 00:36:55.050 ⇒ 00:36:57.699 Uttam Kumaran: I’m gonna do. I’ll do this. I’ll do it Monday.
445 00:36:57.880 ⇒ 00:36:58.810 Patrick Trainer: Nice.
446 00:36:59.050 ⇒ 00:37:02.000 Patrick Trainer: I mean, that’ll help you. That’ll that’ll help you like.
447 00:37:02.420 ⇒ 00:37:04.160 Patrick Trainer: Get more into it.
448 00:37:04.160 ⇒ 00:37:04.930 Uttam Kumaran: Yeah.
449 00:37:05.690 ⇒ 00:37:06.969 Patrick Trainer: Into the weeds with it.
450 00:37:11.070 ⇒ 00:37:18.186 Uttam Kumaran: It’s just tough. I mean, I feel like me, and you are down to like explore new things. Some people I feel like are just like.
451 00:37:18.460 ⇒ 00:37:19.810 Patrick Trainer: I love it. I probably.
452 00:37:20.453 ⇒ 00:37:21.200 Uttam Kumaran: So nice!
453 00:37:21.550 ⇒ 00:37:28.065 Patrick Trainer: I probably explore new things like to my demise, to be to be honest.
454 00:37:28.500 ⇒ 00:37:31.310 Uttam Kumaran: This is 15 bucks a month for this software.
455 00:37:31.790 ⇒ 00:37:32.720 Patrick Trainer: Oh, that’s incredible!
456 00:37:32.720 ⇒ 00:37:33.320 Uttam Kumaran: O’clock
457 00:37:34.200 ⇒ 00:37:37.000 Uttam Kumaran: like we sell post it so it’s like dirt cheap.
458 00:37:37.000 ⇒ 00:37:37.680 Patrick Trainer: Yeah.
459 00:37:40.240 ⇒ 00:37:43.869 Uttam Kumaran: Yeah, I think I’m gonna try and just do this for full parts.
460 00:37:44.070 ⇒ 00:37:47.070 Uttam Kumaran: And basically, you’ll be able to see sales by Zip, like this
461 00:37:49.070 ⇒ 00:37:51.040 Uttam Kumaran: look. All you need is this
462 00:37:51.520 ⇒ 00:37:52.440 Uttam Kumaran: the zip.
463 00:37:54.480 ⇒ 00:37:55.470 Patrick Trainer: Of nice.
464 00:37:57.180 ⇒ 00:37:59.930 Patrick Trainer: Oh, yeah, and that could tie directly into
465 00:38:00.080 ⇒ 00:38:01.309 Patrick Trainer: like they’re mailing.
466 00:38:01.310 ⇒ 00:38:07.949 Uttam Kumaran: Well, I’m basically, I’m basically gonna put everything on there. I’m gonna put. I’m gonna put the sales. I’m gonna put the number of shipments, and then.
467 00:38:08.110 ⇒ 00:38:08.900 Uttam Kumaran: like
468 00:38:09.110 ⇒ 00:38:11.469 Uttam Kumaran: kind of just like, leave that as their like map.
469 00:38:12.540 ⇒ 00:38:13.530 Patrick Trainer: Right.
470 00:38:16.590 ⇒ 00:38:18.070 Uttam Kumaran: Yeah, people are just like S,
471 00:38:18.150 ⇒ 00:38:19.519 Uttam Kumaran: totally asleep on.
472 00:38:20.700 ⇒ 00:38:21.960 Patrick Trainer: Yeah, I agree.
473 00:38:29.420 ⇒ 00:38:30.430 Patrick Trainer: yeah.
474 00:38:35.770 ⇒ 00:38:37.349 Patrick Trainer: what else you got tonight?
475 00:38:38.570 ⇒ 00:38:40.610 Uttam Kumaran: Going to dinner with some friends.
476 00:38:41.150 ⇒ 00:38:41.790 Patrick Trainer: Nice.
477 00:38:45.336 ⇒ 00:38:46.009 Patrick Trainer: Regional option.
478 00:38:46.857 ⇒ 00:38:53.690 Uttam Kumaran: A Mexican place. I don’t know. Actually, it’s like we have dinner with some friends once a month and someone just picks place.
479 00:38:54.570 ⇒ 00:38:57.250 Uttam Kumaran: I’m not exactly sure whether it’s good or not.
480 00:38:57.700 ⇒ 00:39:00.260 Patrick Trainer: Austin’s got a pretty decent food scene. Yeah.
481 00:39:00.440 ⇒ 00:39:01.240 Uttam Kumaran: Yes.
482 00:39:01.740 ⇒ 00:39:02.530 Uttam Kumaran: there’s.
483 00:39:02.530 ⇒ 00:39:09.719 Patrick Trainer: Like I. I’ve only been there once, but there’s I mean, all the the food trucks were incredible.
484 00:39:10.010 ⇒ 00:39:12.900 Uttam Kumaran: No, it’s very good. It’s like, very, very good. Yeah.
485 00:39:13.900 ⇒ 00:39:15.129 Uttam Kumaran: it’s super nice.
486 00:39:15.520 ⇒ 00:39:17.739 Uttam Kumaran: I just. I think it’s underrated like.
487 00:39:18.240 ⇒ 00:39:21.099 Uttam Kumaran: I think, Houston, they said, as people are said, it’s really good, but
488 00:39:21.400 ⇒ 00:39:23.770 Uttam Kumaran: kind of a dumb city. Otherwise.
489 00:39:23.770 ⇒ 00:39:25.490 Patrick Trainer: The concrete, everything.
490 00:39:25.490 ⇒ 00:39:26.990 Uttam Kumaran: Yeah. Yeah.
491 00:39:28.140 ⇒ 00:39:29.010 Uttam Kumaran: Down.
492 00:39:30.530 ⇒ 00:39:32.099 Patrick Trainer: Yeah, we’ll see.
493 00:39:33.170 ⇒ 00:39:34.000 Uttam Kumaran: Okay.
494 00:39:34.000 ⇒ 00:39:34.840 Patrick Trainer: We’ll see.
495 00:39:35.530 ⇒ 00:39:38.464 Uttam Kumaran: Oh, yeah, I’m gonna probably be working for a little bit longer. But
496 00:39:39.710 ⇒ 00:39:45.709 Uttam Kumaran: yeah, let me know if you need anything. Probably talk chat tomorrow, and then I’m doing an intro to snowflake for the intern tomorrow morning.
497 00:39:46.050 ⇒ 00:39:47.710 Patrick Trainer: Okay, yeah. What time?
498 00:39:47.720 ⇒ 00:39:48.869 Patrick Trainer: I’ll I’ll join that.
499 00:39:48.870 ⇒ 00:39:50.899 Uttam Kumaran: Kind kind of early, like 8.
500 00:39:52.580 ⇒ 00:39:53.210 Patrick Trainer: Probably do that.
501 00:39:53.547 ⇒ 00:39:58.602 Uttam Kumaran: You wanna call you wanna just dial in from bed. Feel free. I’ll add you.
502 00:39:58.940 ⇒ 00:40:00.270 Patrick Trainer: I’m not opposed to it.
503 00:40:00.470 ⇒ 00:40:05.040 Uttam Kumaran: Yeah, feel free. Cause I’m just gonna be I they’re all they all should have completed the intro.
504 00:40:05.290 ⇒ 00:40:07.880 Uttam Kumaran: the snowflake, like course.
505 00:40:08.620 ⇒ 00:40:09.030 Patrick Trainer: Okay.
506 00:40:09.030 ⇒ 00:40:12.179 Uttam Kumaran: The the Whatever workshop are basically like,
507 00:40:12.960 ⇒ 00:40:18.449 Uttam Kumaran: like learning the basics. So I just wanna make sure everybody’s in there like creating databases and stuff, and
508 00:40:18.460 ⇒ 00:40:20.110 Uttam Kumaran: answer any questions.
509 00:40:20.110 ⇒ 00:40:20.430 Patrick Trainer: Yeah.
510 00:40:20.430 ⇒ 00:40:24.559 Uttam Kumaran: Next. Me and Nika are gonna plan tomorrow to assign them some tickets next week. So.
511 00:40:24.730 ⇒ 00:40:26.199 Patrick Trainer: Oh, nice! Cool!
512 00:40:26.790 ⇒ 00:40:27.490 Uttam Kumaran: Yeah.
513 00:40:29.400 ⇒ 00:40:31.000 Patrick Trainer: Oh, yeah, I don’t.
514 00:40:34.210 ⇒ 00:40:35.470 Patrick Trainer: All right.
515 00:40:36.900 ⇒ 00:40:37.650 Uttam Kumaran: Okay.
516 00:40:38.530 ⇒ 00:40:40.839 Uttam Kumaran: cool. Well, I’ll probably talk to you tomorrow morning. Then.
517 00:40:40.840 ⇒ 00:40:43.690 Patrick Trainer: Yeah, let me know if you need anything. In the meantime.
518 00:40:43.940 ⇒ 00:40:46.150 Uttam Kumaran: Okay, alright. Thanks for that.
519 00:40:46.150 ⇒ 00:40:46.750 Patrick Trainer: Later.
520 00:40:47.010 ⇒ 00:40:47.710 Uttam Kumaran: He’s.