Meeting Title: Uttam <> Tom Date: 2024-09-17 Meeting participants: Patrick Trainer, Uttam Kumaran
WEBVTT
1 00:00:08.940 ⇒ 00:00:09.750 Patrick Trainer: Go.
2 00:00:10.480 ⇒ 00:00:10.895 Uttam Kumaran: No.
3 00:00:11.560 ⇒ 00:00:12.390 Patrick Trainer: What’s going on.
4 00:00:14.650 ⇒ 00:00:16.980 Uttam Kumaran: Just need to eat soon.
5 00:00:17.700 ⇒ 00:00:19.320 Patrick Trainer: Yeah, I just went and got lunch.
6 00:00:21.840 ⇒ 00:00:25.909 Patrick Trainer: and we’ve got what some Vietnamese food.
7 00:00:27.850 ⇒ 00:00:28.450 Patrick Trainer: Nice.
8 00:00:28.470 ⇒ 00:00:30.619 Uttam Kumaran: Not to make sausages today.
9 00:00:31.250 ⇒ 00:00:31.930 Patrick Trainer: Oh, yeah.
10 00:00:32.090 ⇒ 00:00:33.290 Uttam Kumaran: On a grill.
11 00:00:35.160 ⇒ 00:00:37.590 Patrick Trainer: You just live in the the home life.
12 00:00:38.190 ⇒ 00:00:41.339 Uttam Kumaran: I know. I know I go a lot.
13 00:00:41.960 ⇒ 00:00:43.485 Uttam Kumaran: I have a bunch of
14 00:00:43.920 ⇒ 00:00:46.719 Uttam Kumaran: chicken thighs that I marinated in like a Dijon.
15 00:00:47.180 ⇒ 00:00:48.295 Uttam Kumaran: So
16 00:00:49.610 ⇒ 00:00:51.969 Uttam Kumaran: marinade, so I gotta grill those.
17 00:00:52.690 ⇒ 00:00:53.100 Patrick Trainer: Yeah, that is.
18 00:00:53.100 ⇒ 00:00:53.780 Uttam Kumaran: Man.
19 00:00:53.780 ⇒ 00:00:54.830 Patrick Trainer: Sounds pretty damn good.
20 00:00:54.830 ⇒ 00:00:56.414 Uttam Kumaran: Probably take a nap.
21 00:00:56.810 ⇒ 00:00:59.829 Patrick Trainer: Yeah, no, I’m I’m right there with you.
22 00:01:02.824 ⇒ 00:01:08.070 Patrick Trainer: Yeah. I was just looking over the hurricane. We got 13 inches of rain.
23 00:01:09.100 ⇒ 00:01:11.420 Uttam Kumaran: Damn good shit.
24 00:01:11.420 ⇒ 00:01:13.020 Patrick Trainer: Yeah. Absolutely. Wild.
25 00:01:28.860 ⇒ 00:01:38.389 Uttam Kumaran: Okay, Tom, message me said he should be good, but maybe give him a sec. Cause. Just started his new job. Yeah. Basically, I just wanted to. It’s been a while since I talked to Tom. And
26 00:01:38.460 ⇒ 00:01:41.590 Uttam Kumaran: you know, depending on how this real thing goes.
27 00:01:41.780 ⇒ 00:01:44.259 Uttam Kumaran: I was just gonna call more smart
28 00:01:44.510 ⇒ 00:01:46.599 Uttam Kumaran: data and just type folks and.
29 00:01:46.600 ⇒ 00:01:47.130 Patrick Trainer: Heard that.
30 00:01:47.130 ⇒ 00:01:57.879 Uttam Kumaran: Hi, and see kind of like what people’s availability is. And like, just yeah, I haven’t talked to Tom about stuff we’re doing in a while. So, yeah.
31 00:01:57.880 ⇒ 00:01:58.980 Patrick Trainer: I heard that
32 00:01:59.430 ⇒ 00:02:00.660 Patrick Trainer: heard that.
33 00:02:01.260 ⇒ 00:02:05.757 Uttam Kumaran: Yeah, Brian. Brian used the script today, and then he also, I think, used that
34 00:02:07.130 ⇒ 00:02:09.070 Uttam Kumaran: the template repo. So.
35 00:02:09.550 ⇒ 00:02:10.660 Patrick Trainer: Oh, yeah, it work out.
36 00:02:11.389 ⇒ 00:02:12.299 Uttam Kumaran: Yeah.
37 00:02:13.740 ⇒ 00:02:15.060 Patrick Trainer: Oh, yeah. So you just
38 00:02:15.480 ⇒ 00:02:17.520 Patrick Trainer: ping me there. Only 2.
39 00:02:17.680 ⇒ 00:02:18.900 Patrick Trainer: The line, one
40 00:02:19.710 ⇒ 00:02:21.040 Patrick Trainer: sysadmin.
41 00:02:22.070 ⇒ 00:02:22.820 Patrick Trainer: Huh?
42 00:03:46.670 ⇒ 00:03:48.550 Patrick Trainer: So what is shark? Ninja?
43 00:03:49.450 ⇒ 00:03:51.216 Uttam Kumaran: Do you know, Shark, the
44 00:03:51.700 ⇒ 00:03:53.050 Uttam Kumaran: Vacuum Company.
45 00:03:53.050 ⇒ 00:03:55.060 Patrick Trainer: Oh, yeah, the the vacuum.
46 00:03:55.060 ⇒ 00:03:57.020 Uttam Kumaran: And do you know, Ninja, the blender.
47 00:03:57.020 ⇒ 00:03:57.850 Patrick Trainer: Yeah.
48 00:03:58.380 ⇒ 00:03:59.609 Uttam Kumaran: That’s it, that’s.
49 00:03:59.610 ⇒ 00:04:00.290 Patrick Trainer: That.
50 00:04:01.370 ⇒ 00:04:01.985 Uttam Kumaran: Yeah.
51 00:04:02.600 ⇒ 00:04:06.250 Patrick Trainer: What they need is a vacuum with the ninja blades in it.
52 00:04:07.010 ⇒ 00:04:10.510 Uttam Kumaran: Yeah, they need. They need like a vacuum up your ingredients. And then.
53 00:04:14.370 ⇒ 00:04:15.370 Patrick Trainer: Oh, man.
54 00:04:17.860 ⇒ 00:04:25.790 Patrick Trainer: I didn’t realize that, like the company is literally called Shark ninja. And then they just have products called shark, and one called Ninja.
55 00:04:27.380 ⇒ 00:04:29.859 Uttam Kumaran: They’re big at Costco. That’s why I see them all the time.
56 00:04:29.860 ⇒ 00:04:33.390 Patrick Trainer: Oh, yeah, I I mean, they’re at target, too.
57 00:04:36.050 ⇒ 00:04:39.149 Patrick Trainer: The blenders are good, the vacuums are trash.
58 00:04:39.750 ⇒ 00:04:41.455 Uttam Kumaran: Yeah, I think I have the
59 00:04:43.480 ⇒ 00:04:47.580 Uttam Kumaran: I don’t know what. I don’t know what vacuum I have. I don’t know. Maybe it’s shark.
60 00:04:49.180 ⇒ 00:04:53.179 Patrick Trainer: Yeah, we had one like we went through like 4 of them. They kept breaking.
61 00:04:53.380 ⇒ 00:04:53.949 Patrick Trainer: went and.
62 00:04:53.950 ⇒ 00:04:55.940 Uttam Kumaran: It sounds good. I have a shot.
63 00:04:55.940 ⇒ 00:04:56.650 Patrick Trainer: Really.
64 00:04:56.650 ⇒ 00:04:59.009 Uttam Kumaran: Yeah, mine’s really good. Well, the shark
65 00:04:59.170 ⇒ 00:05:01.780 Uttam Kumaran: navigator Costco version.
66 00:05:01.780 ⇒ 00:05:02.760 Patrick Trainer: Okay, is.
67 00:05:02.760 ⇒ 00:05:03.510 Uttam Kumaran: Pretty good.
68 00:05:03.510 ⇒ 00:05:04.720 Patrick Trainer: Maybe it’s the Costco one.
69 00:05:04.720 ⇒ 00:05:07.719 Uttam Kumaran: What are you? What are you doing for vacuums right now?
70 00:05:07.720 ⇒ 00:05:09.760 Patrick Trainer: We went we went with the Dyson.
71 00:05:14.440 ⇒ 00:05:15.910 Uttam Kumaran: $1,000 right now.
72 00:05:15.910 ⇒ 00:05:19.440 Patrick Trainer: I mean, we went with the. It’s the stick vacuum.
73 00:05:19.440 ⇒ 00:05:20.390 Uttam Kumaran: Oh, yeah, like.
74 00:05:20.390 ⇒ 00:05:21.929 Patrick Trainer: No, no cord
75 00:05:22.060 ⇒ 00:05:24.119 Patrick Trainer: whatever, and it’s like
76 00:05:25.210 ⇒ 00:05:27.749 Patrick Trainer: it’s worked flawless for like 10 years.
77 00:05:28.050 ⇒ 00:05:28.690 Uttam Kumaran: Nice.
78 00:05:28.690 ⇒ 00:05:30.509 Patrick Trainer: Yeah, it’s it’s been killer.
79 00:05:30.740 ⇒ 00:05:31.860 Patrick Trainer: And
80 00:05:32.810 ⇒ 00:05:43.839 Patrick Trainer: yeah, it’s like the worst thing about like vacuuming was always like plugging in the cord going over there tripping over it, doing this, and it’s like we have all
81 00:05:44.230 ⇒ 00:05:45.969 Patrick Trainer: hardwood floors. So.
82 00:05:46.310 ⇒ 00:05:47.080 Uttam Kumaran: Yeah.
83 00:05:47.080 ⇒ 00:05:53.289 Patrick Trainer: It’s I mean the little like. It’s light stick. You can whip it out like.
84 00:05:53.290 ⇒ 00:05:55.269 Uttam Kumaran: I thought about getting a Roomba.
85 00:05:56.420 ⇒ 00:05:57.260 Patrick Trainer: Yeah, yeah.
86 00:05:57.260 ⇒ 00:06:02.770 Uttam Kumaran: This is all hard. This is all hardwood floors, and the main thing is like the dog comes over. There’s dust.
87 00:06:02.900 ⇒ 00:06:09.509 Uttam Kumaran: It would be nice to kind of have it, and like what I would do is I would hook it up to Alexa so that it it turns on.
88 00:06:09.650 ⇒ 00:06:12.959 Uttam Kumaran: maybe like in the middle of the night, or something like it’s not.
89 00:06:14.070 ⇒ 00:06:14.869 Uttam Kumaran: It doesn’t run.
90 00:06:15.520 ⇒ 00:06:16.170 Uttam Kumaran: Hey!
91 00:06:16.170 ⇒ 00:06:18.380 Patrick Trainer: It’s there’s it’s
92 00:06:18.680 ⇒ 00:06:22.520 Patrick Trainer: there’s an instance where I this wasn’t us. But
93 00:06:22.830 ⇒ 00:06:27.789 Patrick Trainer: the they had a roomba, and their dog had like shit on the floor.
94 00:06:27.970 ⇒ 00:06:37.160 Patrick Trainer: and they didn’t know it. It was like when they weren’t home, and the Roomba was going ran over the the dog. Shit, spread it all over the house.
95 00:06:37.160 ⇒ 00:06:37.830 Uttam Kumaran: Yeah.
96 00:06:40.120 ⇒ 00:06:40.995 Uttam Kumaran: yeah.
97 00:06:43.900 ⇒ 00:06:45.439 Patrick Trainer: Be a little. Yeah.
98 00:06:48.450 ⇒ 00:06:52.870 Patrick Trainer: and I’ve seen something they had like a roomba version of a lawn mower.
99 00:06:55.210 ⇒ 00:06:58.459 Uttam Kumaran: Oh, yeah. Well, I saw that I saw on Twitter.
100 00:07:02.820 ⇒ 00:07:05.730 Uttam Kumaran: yeah, I saw that on Twitter. I also saw a roomba mop.
101 00:07:07.130 ⇒ 00:07:07.730 Patrick Trainer: Yeah.
102 00:07:13.020 ⇒ 00:07:17.079 Patrick Trainer: I’m pretty sure, like Roomba, like the reason
103 00:07:17.300 ⇒ 00:07:23.420 Patrick Trainer: their company is like, they’re like a precursor development for like self driving cars.
104 00:07:23.810 ⇒ 00:07:25.870 Patrick Trainer: And so like they they. So
105 00:07:25.890 ⇒ 00:07:30.210 Patrick Trainer: they were like the consumer version of like Waymo.
106 00:07:30.650 ⇒ 00:07:38.570 Patrick Trainer: And like, that’s what like the Waymo car technology was. But in order to capitalize the company. They needed a way to
107 00:07:38.840 ⇒ 00:07:40.230 Patrick Trainer: like get money, so they put.
108 00:07:40.230 ⇒ 00:07:40.680 Uttam Kumaran: Huh!
109 00:07:40.680 ⇒ 00:07:42.790 Patrick Trainer: Like consumer grade products
110 00:07:43.206 ⇒ 00:07:49.990 Patrick Trainer: and like, basically use that as a testing ground to get like a shit ton of telemetry data
111 00:07:50.000 ⇒ 00:07:52.460 Patrick Trainer: of in like testing out
112 00:07:52.700 ⇒ 00:07:56.989 Patrick Trainer: like the movements of those robots. Yeah.
113 00:07:57.170 ⇒ 00:08:00.415 Uttam Kumaran: Well, Amazon tried to buy them, but then they got denied.
114 00:08:00.710 ⇒ 00:08:01.940 Patrick Trainer: Oh, oh, really.
115 00:08:01.940 ⇒ 00:08:08.320 Uttam Kumaran: Yeah, that was like a huge like Ftc thing. They denied them because of like some anti competition. It was like.
116 00:08:08.700 ⇒ 00:08:09.380 Patrick Trainer: That makes sense.
117 00:08:09.380 ⇒ 00:08:13.220 Uttam Kumaran: Dumb dude. But Waymo is coming to Austin soon.
118 00:08:13.220 ⇒ 00:08:14.130 Patrick Trainer: Oh, really.
119 00:08:14.130 ⇒ 00:08:18.099 Uttam Kumaran: Limo just released a report yesterday about like how effective the
120 00:08:18.520 ⇒ 00:08:21.179 Uttam Kumaran: the thing is. San Francisco thing.
121 00:08:21.350 ⇒ 00:08:24.370 Uttam Kumaran: Well, about how effective it is on
122 00:08:24.460 ⇒ 00:08:26.709 Uttam Kumaran: in terms of their safety.
123 00:08:27.140 ⇒ 00:08:28.550 Patrick Trainer: Oh, yeah.
124 00:08:28.550 ⇒ 00:08:29.760 Uttam Kumaran: Yeah, I’ll show you.
125 00:08:29.900 ⇒ 00:08:31.770 Uttam Kumaran: I was just reading yesterday.
126 00:08:34.750 ⇒ 00:08:36.289 Uttam Kumaran: where is this
127 00:08:40.720 ⇒ 00:08:43.250 Uttam Kumaran: animal safety report?
128 00:08:45.120 ⇒ 00:08:48.240 Uttam Kumaran: Yeah. September. Yeah, this is.
129 00:08:54.210 ⇒ 00:08:55.280 Uttam Kumaran: yeah.
130 00:09:04.590 ⇒ 00:09:05.920 Uttam Kumaran: So
131 00:09:10.970 ⇒ 00:09:14.009 Uttam Kumaran: yeah, I think they, yeah, this is.
132 00:09:15.390 ⇒ 00:09:20.409 Uttam Kumaran: this is a data hub. But they’ve done a ton of miles.
133 00:09:21.820 ⇒ 00:09:23.430 Uttam Kumaran: So rider, only
134 00:09:24.690 ⇒ 00:09:25.300 Uttam Kumaran: so.
135 00:09:25.300 ⇒ 00:09:26.080 Patrick Trainer: Wow!
136 00:09:28.050 ⇒ 00:09:30.379 Patrick Trainer: 22 million miles.
137 00:09:31.460 ⇒ 00:09:32.420 Uttam Kumaran: Hey, Tom!
138 00:09:32.590 ⇒ 00:09:35.180 Thomas’s iPhone: Hey? Guys? Sorry about that. I totally lost all your time.
139 00:09:35.550 ⇒ 00:09:39.510 Uttam Kumaran: No, you’re good. We’re just looking at the Waymo Safety report that came out yesterday.
140 00:09:40.520 ⇒ 00:09:42.929 Thomas’s iPhone: Oh, yeah, they doing, well.
141 00:09:43.180 ⇒ 00:09:46.219 Uttam Kumaran: Dude they got. They did 22 driver.
142 00:09:46.350 ⇒ 00:09:48.060 Uttam Kumaran: driverless miles.
143 00:09:49.180 ⇒ 00:09:51.119 Uttam Kumaran: 22 million. 22 million. Sorry.
144 00:09:51.413 ⇒ 00:09:53.759 Thomas’s iPhone: It’s like 22 doesn’t seem like good.
145 00:09:54.060 ⇒ 00:09:57.629 Uttam Kumaran: No. But look, I mean, like they have the data looks really good.
146 00:09:58.570 ⇒ 00:10:02.240 Thomas’s iPhone: Yeah. Anne took one when she was in San Francisco, and said it was like
147 00:10:02.690 ⇒ 00:10:04.220 Thomas’s iPhone: totally seamless.
148 00:10:04.990 ⇒ 00:10:10.379 Uttam Kumaran: And they basically said that, like the injury rates and the the rates of like having issues are way lower.
149 00:10:11.310 ⇒ 00:10:20.820 Uttam Kumaran: I can’t. I mean, they just announced in Austin. I think it’ll be here next year. I’m gonna take. I mean, I’m gonna take that all the time, especially if it’s like cheaper than uber. Yeah.
150 00:10:21.460 ⇒ 00:10:24.020 Thomas’s iPhone: I would love to do it. Yeah, I’m so sick of like
151 00:10:24.080 ⇒ 00:10:30.310 Thomas’s iPhone: I just had traffic last couple of days. I don’t. Wanna I wanna like play a game on my phone. I don’t wanna drive.
152 00:10:30.880 ⇒ 00:10:32.489 Uttam Kumaran: Are you? Are you in Boston?
153 00:10:33.262 ⇒ 00:10:37.029 Thomas’s iPhone: Yeah, kind of I’m in like, 30 min west of Boston.
154 00:10:37.030 ⇒ 00:10:37.720 Uttam Kumaran: Okay.
155 00:10:38.250 ⇒ 00:10:41.922 Patrick Trainer: And then Tom finally good to put a face to
156 00:10:42.300 ⇒ 00:10:45.819 Patrick Trainer: to a text message, slash, discord, channel.
157 00:10:45.960 ⇒ 00:10:51.079 Thomas’s iPhone: Yeah, I was just gonna say, I don’t think I’ve ever talked to you on a zoom call. But nice to meet you.
158 00:10:51.080 ⇒ 00:10:51.750 Patrick Trainer: Yeah.
159 00:10:51.750 ⇒ 00:10:52.900 Thomas’s iPhone: Or however you’re discussing.
160 00:10:52.900 ⇒ 00:10:53.959 Patrick Trainer: We’ve been talking for like.
161 00:10:53.960 ⇒ 00:10:55.210 Uttam Kumaran: I want a couple.
162 00:10:55.210 ⇒ 00:10:56.270 Patrick Trainer: Couple years, now.
163 00:10:56.530 ⇒ 00:10:57.180 Thomas’s iPhone: Yeah.
164 00:10:58.146 ⇒ 00:11:04.789 Uttam Kumaran: No, I just wanted to say, Hi, and like, Yeah, Patrick has been working at Brainford for a while, and like.
165 00:11:05.040 ⇒ 00:11:06.670 Uttam Kumaran: we’ve just been like
166 00:11:06.920 ⇒ 00:11:18.439 Uttam Kumaran: slowly getting more clients. And we have some like data engineering stuff that’s like coming our way. I know you mentioned you just like started at shark and just stuff. But I know. Figure out if you have
167 00:11:18.600 ⇒ 00:11:31.740 Uttam Kumaran: time on the side, let me know. But just basically, we started basically taking on like clients across like the entire data stack. Basically. So we have folks that are doing more data modeling data and stuff.
168 00:11:31.880 ⇒ 00:11:43.200 Uttam Kumaran: We we also do some analysis stuff. But it’s mostly on the modeling side. And we started doing some like AI development stuff for some people. So it’s going well, I mean, so kind of
169 00:11:43.370 ⇒ 00:12:01.519 Uttam Kumaran: like when I see work coming. I just call everybody that I work with. That’s smart, and it’s like who’s who’s available, who wants to make some money? But also like, what are you doing at? So what are you doing at shark like? How did you get that? I didn’t also didn’t know that. Well, I have a shark vacuum, but I didn’t know that those 2 companies were like the same company.
170 00:12:02.050 ⇒ 00:12:06.909 Thomas’s iPhone: I know right? It’s a it’s a hilarious name for a company. Sounds kind of like teenage.
171 00:12:06.910 ⇒ 00:12:11.649 Uttam Kumaran: Fruit. Ninja. It’s like fruit. Ninja.
172 00:12:12.440 ⇒ 00:12:25.639 Thomas’s iPhone: Exactly. Yeah. Started yesterday. It’s on their data engineering team. So all this, you know, same old, same old like on the snowflake warehouse load all the like advertising data in
173 00:12:25.650 ⇒ 00:12:26.910 Thomas’s iPhone: that kind of thing.
174 00:12:27.539 ⇒ 00:12:36.480 Thomas’s iPhone: So it’d be cool. I’m I’m just finding the way of land here. So yeah, I mean for me. I am interested in doing some contracting, but like
175 00:12:37.050 ⇒ 00:12:38.160 Thomas’s iPhone: this month.
176 00:12:39.250 ⇒ 00:12:40.063 Thomas’s iPhone: maybe not.
177 00:12:40.470 ⇒ 00:12:48.880 Uttam Kumaran: Yeah, yeah, no, I don’t think we have anything that’s like we need you tomorrow. But I kind of just wanted to. Well, why, I wanted to just say, Hi! It’s been a while, but.
178 00:12:48.880 ⇒ 00:12:49.400 Thomas’s iPhone: Yeah.
179 00:12:49.400 ⇒ 00:12:50.000 Uttam Kumaran: No?
180 00:12:50.667 ⇒ 00:12:52.540 Uttam Kumaran: Yeah. I just wanted to see. Like.
181 00:12:52.550 ⇒ 00:12:57.559 Uttam Kumaran: if you’re open to it, then I can just like, let you know when when we start to get some more solidified stuff.
182 00:12:59.350 ⇒ 00:13:00.190 Uttam Kumaran: and if we can.
183 00:13:00.190 ⇒ 00:13:02.059 Patrick Trainer: Get any discounts on blenders too.
184 00:13:02.060 ⇒ 00:13:08.730 Uttam Kumaran: Yeah. Oh, yeah, I mean, look, I don’t know what you get me in the beta program because I have to find Pat. I like my shark vacuum.
185 00:13:08.730 ⇒ 00:13:09.480 Patrick Trainer: Yeah.
186 00:13:09.814 ⇒ 00:13:18.835 Uttam Kumaran: If you guys are testing out more, if I can get one of those that’d be nice need data help. You could bring us in.
187 00:13:20.360 ⇒ 00:13:28.969 Thomas’s iPhone: The holiday sales coming up. Let me know that we get some pretty good discounts. I think. I I get 2020 purchases, which seems like a lot. So I I doubt I’m gonna buy like.
188 00:13:28.970 ⇒ 00:13:32.089 Uttam Kumaran: 2020 vacuums.
189 00:13:33.130 ⇒ 00:13:34.278 Thomas’s iPhone: I can hook you guys out.
190 00:13:34.470 ⇒ 00:13:38.909 Uttam Kumaran: But Ninja has a lot of products like when you go to target, there’s like 50 types.
191 00:13:39.450 ⇒ 00:13:43.604 Thomas’s iPhone: Yeah, they do a ton of like blenders and
192 00:13:44.320 ⇒ 00:13:55.170 Thomas’s iPhone: hair products. And they’re big into like ice cream and slushy. This, the big product this year is the ninja slushy, which is like a Margarita maker.
193 00:13:55.240 ⇒ 00:13:58.009 Thomas’s iPhone: Apparently it’s been a huge Tiktok sensation.
194 00:13:58.010 ⇒ 00:13:58.740 Uttam Kumaran: Wow!
195 00:14:00.070 ⇒ 00:14:05.140 Thomas’s iPhone: I was just watching keynote from the CEO about how to be like a billion dollars on social machine.
196 00:14:06.840 ⇒ 00:14:07.870 Patrick Trainer: So
197 00:14:07.920 ⇒ 00:14:13.850 Patrick Trainer: alright. I’m I’m on their website now. I’ve never, never been to shark ninja.com. So.
198 00:14:14.280 ⇒ 00:14:20.132 Thomas’s iPhone: So I make guys in mind, too, for like, like. One thing my boss has just been telling me is
199 00:14:20.750 ⇒ 00:14:21.770 Thomas’s iPhone: that
200 00:14:21.840 ⇒ 00:14:29.990 Thomas’s iPhone: it’s like a very contractor. Heavy environment. They love to just bring people in to do day engineering contracting work, and then
201 00:14:30.000 ⇒ 00:14:37.580 Thomas’s iPhone: are always about like we don’t trust our employees. We want to bring in contractors because they’re the experts, so maybe
202 00:14:37.700 ⇒ 00:14:40.930 Thomas’s iPhone: do some contracting for you, but maybe also keep you in mind for
203 00:14:41.300 ⇒ 00:14:43.030 Thomas’s iPhone: stuff that comes up here.
204 00:14:43.030 ⇒ 00:14:47.160 Uttam Kumaran: Yeah, let me know. I mean, we’re we’re doing the same old same old, too.
205 00:14:47.532 ⇒ 00:15:03.020 Uttam Kumaran: Things never change. So we’re doing the only thing I will say is, we’re getting better and smarter at doing it, and we’re trying to like, Use AI to speed some of it up. But like we have like we’re doing a lot of same stuff on tbt, on Snowflake on 5 trend.
206 00:15:03.312 ⇒ 00:15:14.037 Uttam Kumaran: It’s just been a lot of stuff on the modeling side like probably prefer to do that instead of like analysis. But you know, we have a bunch of people that we have done that for us, too.
207 00:15:14.856 ⇒ 00:15:19.830 Uttam Kumaran: So yeah. And then the kind of the stuff that we’re looking at is, have you heard of real data before?
208 00:15:20.790 ⇒ 00:15:21.909 Thomas’s iPhone: RILL.
209 00:15:21.910 ⇒ 00:15:22.640 Uttam Kumaran: Yeah.
210 00:15:23.450 ⇒ 00:15:28.070 Thomas’s iPhone: No, I don’t know. I haven’t heard of it, or it’s not familiar, but I don’t know what it is.
211 00:15:28.342 ⇒ 00:15:41.959 Uttam Kumaran: Well, it’s it’s just like a di tool that’s like, kind of newish. But they’re like built on duck TV. And it’s kind of like a it’s pretty nice tool, I mean, we’ve been using it for some clients, and they’re actually thinking of bringing us on as like
212 00:15:42.420 ⇒ 00:15:47.999 Uttam Kumaran: they’re like white labeled like professional services because they’re getting a lot of clients that they basically can’t
213 00:15:48.070 ⇒ 00:16:14.502 Uttam Kumaran: on board onto their product because they’re like a startup. And we’re like, we’ve done like 3 implementations so far. And we’re like, it’s like, Bi, oh, the the edges like bias code. So everything is like in Github. It’s all a cloud deployed. And it’s like, really, really fast. So they’re they’re thinking about bringing us on to help with some click house to like real implementations, or like Snowflake to real
214 00:16:15.321 ⇒ 00:16:36.530 Uttam Kumaran: And that’s why I was like, Okay, cool. Let me see if, like Tom’s available, I was gonna call Kilo, and like Brian and Bang, too. But just like they they kind of don’t need a lot of modeling stuff. It’s more on, like the data and movement like they may have like terabyte scale data from like click, house or stuff, they need to move into
215 00:16:37.232 ⇒ 00:16:43.549 Uttam Kumaran: they need to like build with real and but yeah, if you guys also need data stuff again.
216 00:16:44.049 ⇒ 00:16:49.630 Uttam Kumaran: a bunch of like, the normal crowd has worked with us. And then we’re building like our team internally, too.
217 00:16:49.820 ⇒ 00:16:52.979 Uttam Kumaran: but it’s all snowflake. Dvt, 5 trend stuff.
218 00:16:53.370 ⇒ 00:16:56.960 Thomas’s iPhone: So you and you and Tarush are like competitors. You
219 00:16:57.040 ⇒ 00:17:00.730 Thomas’s iPhone: fighting for the same clients is is that kind of similar like?
220 00:17:00.830 ⇒ 00:17:02.420 Thomas’s iPhone: Do you know what 5 x does.
221 00:17:02.420 ⇒ 00:17:07.020 Uttam Kumaran: Yeah, I I mean, he’s like a scammer. So like.
222 00:17:07.480 ⇒ 00:17:07.890 Thomas’s iPhone: Okay.
223 00:17:07.890 ⇒ 00:17:17.209 Uttam Kumaran: I mean, like I was, I mean, look I he actually wanted to hire me like 2 years ago, 2 or 3 years ago, for that company. But they were trying to do like white labeled
224 00:17:17.310 ⇒ 00:17:19.369 Uttam Kumaran: like they’re trying to basically do like.
225 00:17:20.569 ⇒ 00:17:22.980 Uttam Kumaran: buy 5 x, and you buy everything that’s not.
226 00:17:22.980 ⇒ 00:17:23.510 Thomas’s iPhone: Yeah.
227 00:17:23.510 ⇒ 00:17:25.760 Uttam Kumaran: I. We don’t buy anything. We’re just like.
228 00:17:25.760 ⇒ 00:17:27.040 Thomas’s iPhone: Do the work. And yeah.
229 00:17:27.040 ⇒ 00:17:31.100 Uttam Kumaran: Smart people that have done this like 50 times. And we’re like, we’ll just do this
230 00:17:31.557 ⇒ 00:17:45.379 Uttam Kumaran: like 5 x is like, they basically have, like an all in one modern day, like modern data stack, like all in one. So you buy, you buy 5 x, and they give you like Dbt. And like everything you can like, plug and play.
231 00:17:45.380 ⇒ 00:17:45.710 Patrick Trainer: Right.
232 00:17:46.010 ⇒ 00:17:51.720 Uttam Kumaran: But I think it’s primarily a consulting business like I don’t know how much they actually have a product.
233 00:17:51.950 ⇒ 00:17:52.730 Thomas’s iPhone: Yes.
234 00:17:53.180 ⇒ 00:17:56.140 Uttam Kumaran: But he’s just a polarizing guy like interested in that.
235 00:17:56.720 ⇒ 00:18:06.430 Uttam Kumaran: Yeah. Yeah. But, Tom, you’d be surprised at how much the stuff we do is still like everybody needs this sort of stuff.
236 00:18:07.050 ⇒ 00:18:19.195 Thomas’s iPhone: Oh, yeah, my company, like Shatarc Ninja is like a 4 billion dollar company, and they’re just starting with like setting up. They got 5 grand like 6 months ago.
237 00:18:19.800 ⇒ 00:18:25.493 Thomas’s iPhone: so it’s it was amazing to see exactly the stuff you guys are doing stuff I’ve done before.
238 00:18:25.810 ⇒ 00:18:29.539 Uttam Kumaran: It’s like for for me. More of the thing I try to focus on is like.
239 00:18:29.660 ⇒ 00:18:33.090 Uttam Kumaran: Well, how do I get the people that I know, have done this like a bunch of times.
240 00:18:33.110 ⇒ 00:18:37.300 Uttam Kumaran: and like can work with like a the business, or like a chill humans.
241 00:18:37.700 ⇒ 00:18:51.259 Uttam Kumaran: And then how do I just go find out how I can charge the most, and like pay as much as I can. So that’s like the. But the nice thing about this is like, I don’t. I don’t. Wanna. This isn’t like trying to go. Do 5 x, which is like, try to start a product
242 00:18:51.970 ⇒ 00:19:03.070 Uttam Kumaran: like that’s like way, too much work like, and there has to be some real edge there. I feel like this is just like trying to get the best clients. And again, there’s a lot of people that still need the most basic stuff.
243 00:19:03.250 ⇒ 00:19:06.500 Uttam Kumaran: and they’re gonna try to hire internally.
244 00:19:06.530 ⇒ 00:19:11.259 Uttam Kumaran: or they’re gonna try to get like another consulting firm that, like has everything outsourced.
245 00:19:11.720 ⇒ 00:19:31.390 Uttam Kumaran: I think, with folks that we’ve worked with, we’ve really like done a good job for and it’s just like plugging in the people we know that are really smart. And being like, Yeah, we’ll just do this. It’s pretty easy stuff, you know, like I. Still, I feel still feel like after we work like that’s the most complicated stuff we’ve done, you know. And that was years ago. So.
246 00:19:31.620 ⇒ 00:19:32.290 Thomas’s iPhone: Yeah.
247 00:19:32.430 ⇒ 00:19:33.360 Thomas’s iPhone: for sure.
248 00:19:34.280 ⇒ 00:19:38.369 Thomas’s iPhone: Yeah. I mean, I’m I’m I’m I’m kind of interested. I I don’t know if it’s gonna work out
249 00:19:38.450 ⇒ 00:19:43.030 Thomas’s iPhone: to work like for me with the I have my daughter, who’s a
250 00:19:43.150 ⇒ 00:19:50.330 Thomas’s iPhone: 16 months at this point, like, Am I gonna have time to fit in contracting with you all on top of my current position.
251 00:19:50.970 ⇒ 00:19:52.550 Thomas’s iPhone: I can’t say honestly.
252 00:19:52.550 ⇒ 00:19:52.910 Uttam Kumaran: Yeah.
253 00:19:52.910 ⇒ 00:19:58.458 Thomas’s iPhone: Work or not, but I’d love to keep in the loop and just like, hear about what what you guys have going on. And
254 00:19:59.190 ⇒ 00:20:06.309 Thomas’s iPhone: you know. Also keep you in mind for stuff that comes up at Shark ninja, because I think that that might even be the the better opportunity.
255 00:20:07.350 ⇒ 00:20:14.449 Uttam Kumaran: Okay, cool. Yeah, I’ll let. I’ll let you know. And then, if you know any folks that are like us that are looking for stuff. Let me know, too.
256 00:20:15.700 ⇒ 00:20:29.190 Uttam Kumaran: you know I feel like I I just like to know who’s like all available. But again, like I’ll send it to you, and you let me know no problem either way. And then, yeah, if I can send you anything once you’re in shark, ninja, you kind of figure stuff out.
257 00:20:29.820 ⇒ 00:20:31.599 Uttam Kumaran: yeah, let’s do something.
258 00:20:32.490 ⇒ 00:20:33.380 Thomas’s iPhone: Nice. Yeah.
259 00:20:34.566 ⇒ 00:20:40.720 Thomas’s iPhone: that’d be great. I mean, I’ll send you. I could send you a couple of names of people I worked with at my previous company.
260 00:20:41.212 ⇒ 00:20:44.047 Thomas’s iPhone: If you’re interested, who are smart
261 00:20:45.330 ⇒ 00:20:48.619 Thomas’s iPhone: cause I don’t think I’m allowed to poach them, you know.
262 00:20:48.620 ⇒ 00:20:49.319 Patrick Trainer: I can.
263 00:20:49.320 ⇒ 00:20:50.370 Thomas’s iPhone: And encourage you to vote.
264 00:20:50.642 ⇒ 00:21:01.277 Uttam Kumaran: No, if you know, I mean you, you know, if you know people like us that are like chill. And they they like can take on data stuff. I would love to give them money to do work.
265 00:21:01.580 ⇒ 00:21:08.060 Uttam Kumaran: And I wanna work. I just wanna work with cool people like us so happy to, and then happy to also
266 00:21:08.120 ⇒ 00:21:12.100 Uttam Kumaran: tell them that you may or may not be hiring that shark, Ninja.
267 00:21:13.889 ⇒ 00:21:16.609 Uttam Kumaran: I’ll say I wasn’t coerced into it, so.
268 00:21:17.310 ⇒ 00:21:18.030 Thomas’s iPhone: Nice.
269 00:21:18.340 ⇒ 00:21:18.720 Uttam Kumaran: Yeah.
270 00:21:18.988 ⇒ 00:21:29.979 Thomas’s iPhone: Well, I I kind of want to keep talking. But also my phone is at 4%, and I forgot to charge you today, so I can’t stay on for much longer. I don’t want to just abruptly drop off.
271 00:21:29.980 ⇒ 00:21:37.220 Uttam Kumaran: I’ll text you. Let’s let’s chat again next month, sometime. And then, yeah, again, if you want to connect with anyone you think is cool. Let me know.
272 00:21:37.960 ⇒ 00:21:38.680 Thomas’s iPhone: Awesome.
273 00:21:39.220 ⇒ 00:21:39.600 Uttam Kumaran: Okay.
274 00:21:39.952 ⇒ 00:21:42.770 Thomas’s iPhone: Well, nice to see you both, or Yeah.
275 00:21:42.770 ⇒ 00:21:43.900 Patrick Trainer: Yeah. Good. Meeting you.
276 00:21:44.470 ⇒ 00:21:45.340 Thomas’s iPhone: Likewise
277 00:21:45.560 ⇒ 00:21:50.370 Thomas’s iPhone: we gotta get. We gotta rekindle the discord a little bit. It’s gone. Yeah, a little quiet. Recently.
278 00:21:50.370 ⇒ 00:21:57.070 Uttam Kumaran: I’m gonna I’m gonna I’ll send. I’ll send this. I’m gonna send this waymo thing in there today, and then I’ll see we should host. This we should host a meeting again sometime soon.
279 00:21:57.070 ⇒ 00:21:57.790 Patrick Trainer: Right.
280 00:21:58.380 ⇒ 00:21:59.449 Thomas’s iPhone: Yeah. That’d be fun.
281 00:21:59.630 ⇒ 00:22:00.640 Uttam Kumaran: Send something.
282 00:22:01.490 ⇒ 00:22:02.110 Thomas’s iPhone: Cool.
283 00:22:02.640 ⇒ 00:22:04.479 Uttam Kumaran: Okay, catch you later, cool.
284 00:22:04.480 ⇒ 00:22:05.090 Thomas’s iPhone: Bye.
285 00:22:05.440 ⇒ 00:22:06.190 Uttam Kumaran: Awesome
286 00:22:07.990 ⇒ 00:22:09.889 Uttam Kumaran: cool, so we’ll see what he says.
287 00:22:09.890 ⇒ 00:22:11.350 Patrick Trainer: Yeah, yeah.
288 00:22:12.130 ⇒ 00:22:15.155 Patrick Trainer: yeah, 2020 products a year.
289 00:22:15.660 ⇒ 00:22:16.320 Uttam Kumaran: Nice and.
290 00:22:16.320 ⇒ 00:22:26.370 Patrick Trainer: Insane. I looked at their product list that I didn’t like. They’ve got grills. They’ve got outdoor grills blenders I mean blenders. Of course they got like
291 00:22:26.560 ⇒ 00:22:29.650 Patrick Trainer: hair dryers, like all sorts of shit. So.
292 00:22:31.500 ⇒ 00:22:39.430 Uttam Kumaran: I mean, let’s see, I then, you know, that would be really nice, for, like Christmas presents to be like I I brought you a vacuum, I’d be so I.
293 00:22:39.430 ⇒ 00:22:41.290 Patrick Trainer: Got you a blender? Yeah.
294 00:22:41.290 ⇒ 00:22:42.510 Uttam Kumaran: He’s so ice
295 00:22:43.910 ⇒ 00:22:44.989 Uttam Kumaran: that’d be really.
296 00:22:44.990 ⇒ 00:22:46.030 Patrick Trainer: That would be tight.
297 00:22:47.570 ⇒ 00:22:48.950 Patrick Trainer: cool.
298 00:22:48.950 ⇒ 00:22:54.650 Uttam Kumaran: Cool. I’m gonna try to grab some lunch. I may push our thing back like.
299 00:22:54.650 ⇒ 00:22:57.749 Patrick Trainer: Yeah, that’s yeah. That’s that’s that’s cool. Let me know.
300 00:22:57.750 ⇒ 00:22:58.359 Uttam Kumaran: Okay. Cool.
301 00:22:58.360 ⇒ 00:22:59.100 Patrick Trainer: Gonna
302 00:22:59.250 ⇒ 00:23:00.630 Patrick Trainer: run to the gym.
303 00:23:00.650 ⇒ 00:23:01.790 Patrick Trainer: do something.
304 00:23:02.120 ⇒ 00:23:07.649 Uttam Kumaran: Okay, cool. I’m gonna push everything back. Just let me know when you’re back. No rush, because I’m basically free. The rest of the day.
305 00:23:07.650 ⇒ 00:23:08.969 Patrick Trainer: Yeah, yeah, me, too.
306 00:23:10.080 ⇒ 00:23:10.670 Uttam Kumaran: Okay.
307 00:23:11.140 ⇒ 00:23:12.820 Uttam Kumaran: Bye, June. Alright.
308 00:23:13.430 ⇒ 00:23:14.190 Uttam Kumaran: but it.