Meeting Title: Uttam <> Bryce Date: 2024-07-08 Meeting participants: Bryce Codell, Uttam Kumaran
WEBVTT
1 00:10:59.370 ⇒ 00:11:00.250 Uttam Kumaran: Yo.
2 00:11:03.760 ⇒ 00:11:04.680 Bryce Codell: Yo.
3 00:11:04.990 ⇒ 00:11:05.860 Uttam Kumaran: Love.
4 00:11:06.390 ⇒ 00:11:07.449 Bryce Codell: How you doing, man.
5 00:11:07.470 ⇒ 00:11:10.129 Uttam Kumaran: Good day. How are you? How’s the weekend.
6 00:11:10.870 ⇒ 00:11:14.290 Bryce Codell: I’m alright. We’re still recovering a little bit. So.
7 00:11:14.830 ⇒ 00:11:15.790 Bryce Codell: Dad.
8 00:11:16.160 ⇒ 00:11:21.082 Bryce Codell: as you, as you are well aware, Hss. Has been retired
9 00:11:21.530 ⇒ 00:11:22.105 Uttam Kumaran: Yes.
10 00:11:23.420 ⇒ 00:11:26.842 Bryce Codell: We Rohan and I founded a a new
11 00:11:27.340 ⇒ 00:11:28.900 Bryce Codell: opulent dining club.
12 00:11:29.170 ⇒ 00:11:30.050 Uttam Kumaran: Okay.
13 00:11:30.050 ⇒ 00:11:31.708 Bryce Codell: Yeah, it’s called pizza door.
14 00:11:32.630 ⇒ 00:11:37.460 Bryce Codell: real original name. I’ll let you guess what it entails. Yeah. So it’s
15 00:11:37.540 ⇒ 00:11:49.399 Bryce Codell: when I went vegan. I told like back like, right before the pandemic. I told Rohan, I’m like, all right, I’m gonna do this for 6 months, and then we’re gonna go eat a shit ton of pizza at a bunch of different places all around the city.
16 00:11:49.500 ⇒ 00:11:52.249 Bryce Codell: and he was like great. That sounds good. And then the pandemic.
17 00:11:52.250 ⇒ 00:11:52.910 Uttam Kumaran: Thinking.
18 00:11:53.060 ⇒ 00:12:00.940 Bryce Codell: That plan got deferred by like 3 years, because everybody was all over the place. So we finally got around to doing it for the 1st time last year.
19 00:12:01.110 ⇒ 00:12:04.629 Bryce Codell: Smash hit. There were like 12 or 14 people.
20 00:12:04.630 ⇒ 00:12:05.250 Uttam Kumaran: Case.
21 00:12:05.250 ⇒ 00:12:20.730 Bryce Codell: Went to like 5, like 6 different places. And we’re like, all right. Well, we’re just gonna run this back. And then we did this year, but just pick different places this time. It was disgusting, because we’re in the midst of a wicked heat wave, so.
22 00:12:20.730 ⇒ 00:12:21.976 Uttam Kumaran: Oh, okay.
23 00:12:22.600 ⇒ 00:12:31.029 Bryce Codell: Like sweating into the pizza as we were eating it, and there’s nothing to make the body warmer than like sunny air.
24 00:12:31.030 ⇒ 00:12:33.642 Uttam Kumaran: And some of the pizza slices are hot like so hot.
25 00:12:33.880 ⇒ 00:12:38.130 Bryce Codell: I know my God, and, like I like, roasted the roof of my laptop.
26 00:12:38.130 ⇒ 00:12:39.220 Uttam Kumaran: Yes, yes, that’s.
27 00:12:39.536 ⇒ 00:12:53.129 Bryce Codell: Real hungry. I was like, like, immediately put myself on the injured list. But I’m like, I’m playing through the pain. Yeah. But we hit up. I think we ended up hitting up about 6 different shops, and there was like
28 00:12:53.270 ⇒ 00:13:03.519 Bryce Codell: a solid 2 h like 2 and a half hour air condition bar, break, and like a 3 h karaoke break in the middle of it. It was it was. It was a vibe.
29 00:13:03.520 ⇒ 00:13:09.060 Uttam Kumaran: Yeah, I did one of that when I was in New York. Maybe I just got to. Maybe we got to 3 or 4 before we’re like
30 00:13:09.250 ⇒ 00:13:12.100 Uttam Kumaran: I’m done. I can’t anymore.
31 00:13:12.610 ⇒ 00:13:14.750 Bryce Codell: Yeah, I mean the like.
32 00:13:15.120 ⇒ 00:13:18.760 Bryce Codell: We had like 16 people, I think, in total.
33 00:13:18.760 ⇒ 00:13:19.350 Uttam Kumaran: Wow!
34 00:13:19.350 ⇒ 00:13:37.279 Bryce Codell: So we would just go to a place, get 2 pies, and everyone would get a slice, and then it. Then it worked out pretty nicely and like some people would be a little hungrier. Some people would like split a couple of slices if we got 2 different kinds of pies. But yeah, we we have some great shot spots, and it was it was a really good time. But we went to Roberta’s at the end of like.
35 00:13:37.280 ⇒ 00:13:37.950 Uttam Kumaran: Yes.
36 00:13:37.950 ⇒ 00:13:57.912 Bryce Codell: Rupert dwindled, and we went. We like snuck into Roberta’s right at the end of the night, and they’re like indoor dining restaurants, and there was maybe, like 7 of us left, and Rohan, just like, took over the menu and ordered half of the summer. We’re like dude. We have been eating for 11 h like, why did you just order us 4 more pizza.
37 00:13:58.210 ⇒ 00:14:00.939 Uttam Kumaran: Doing, mma, or somebody’s like Bro. I’m so hungry.
38 00:14:01.733 ⇒ 00:14:02.526 Bryce Codell: No.
39 00:14:04.670 ⇒ 00:14:05.832 Bryce Codell: and then he
40 00:14:06.579 ⇒ 00:14:16.180 Bryce Codell: went, and then, like I ended up going home after after Roberta’s. But him and a couple of other people like him, and Taylor and a couple of his friends went out to like one more bar.
41 00:14:16.210 ⇒ 00:14:19.464 Bryce Codell: and then he slept for like 14 h after that.
42 00:14:20.370 ⇒ 00:14:21.974 Bryce Codell: fucking, incredible, strong.
43 00:14:22.510 ⇒ 00:14:23.110 Uttam Kumaran: Yeah.
44 00:14:23.110 ⇒ 00:14:25.309 Bryce Codell: Yeah. Kenny came. It was a good time.
45 00:14:25.310 ⇒ 00:14:26.110 Uttam Kumaran: Nice.
46 00:14:26.110 ⇒ 00:14:29.700 Bryce Codell: Yeah, yeah. But anyway, how’s your weekend.
47 00:14:29.900 ⇒ 00:14:36.890 Uttam Kumaran: Weekend was good. It was just like a lot of packing and unpacking or unpacking. And then this room is like.
48 00:14:36.910 ⇒ 00:14:40.379 Uttam Kumaran: okay setup. There’s like all sorts of shit down here.
49 00:14:40.510 ⇒ 00:14:41.600 Uttam Kumaran: but like
50 00:14:41.770 ⇒ 00:14:44.279 Uttam Kumaran: looks nice on camera. Actually.
51 00:14:44.280 ⇒ 00:14:47.110 Bryce Codell: Very nice. I like the plant action in the background.
52 00:14:47.110 ⇒ 00:14:52.600 Uttam Kumaran: Thanks. That’s the one thing in my life that I’ve been getting really good at is is plants. There’s plant here.
53 00:14:52.730 ⇒ 00:14:55.379 Uttam Kumaran: There’s like this little guy
54 00:14:55.700 ⇒ 00:14:57.930 Uttam Kumaran: here that’s really nice.
55 00:14:59.170 ⇒ 00:14:59.990 Uttam Kumaran: See that.
56 00:14:59.990 ⇒ 00:15:05.970 Bryce Codell: And when you say the one thing in your life that you’ve been getting good at really good at, you mean because you’re already good at everything.
57 00:15:05.970 ⇒ 00:15:07.417 Uttam Kumaran: Oh, no! No! No!
58 00:15:07.780 ⇒ 00:15:09.300 Bryce Codell: My man, we’re.
59 00:15:09.300 ⇒ 00:15:11.599 Uttam Kumaran: One thing that I’ve been spending time
60 00:15:11.700 ⇒ 00:15:16.790 Uttam Kumaran: not like fucking up on this plants. And I, some plants are really not new.
61 00:15:16.910 ⇒ 00:15:37.679 Uttam Kumaran: What’s the plane gets going. And you’re like, you’re just not really like anal about watering every day. And then you fuck it up. You kind of just vibe it out. You’re like, Oh, it’s been a couple of days since I water it probably should water that I nobody told me that you got to do it like that. Everybody just plants. They have these rules and shit. I’m like dude. I’m not like.
62 00:15:37.760 ⇒ 00:15:41.290 Uttam Kumaran: I’m not like gonna water every 3rd day and measure soil temperature
63 00:15:41.320 ⇒ 00:15:48.959 Uttam Kumaran: I have. I’m like there’s no fucking way. I do that. It’s it’s gotta be totally on vibes. And so I’ll see a plan. And I’m like
64 00:15:48.980 ⇒ 00:15:54.769 Uttam Kumaran: when I last water, or maybe last week. Okay, I’ll put some water in, and that changed everything. They all crushed.
65 00:15:54.970 ⇒ 00:15:58.360 Uttam Kumaran: It was actually reducing the amount of rules
66 00:15:58.590 ⇒ 00:16:09.810 Uttam Kumaran: and relying more on just vibes and like, like, I don’t think I water that in a while I’m gonna water it. And then they all fucking crushed when I was like every 2 days, or like
67 00:16:10.500 ⇒ 00:16:13.789 Uttam Kumaran: too much energy on it, it was getting bad. So yeah.
68 00:16:13.790 ⇒ 00:16:16.339 Bryce Codell: Yeah. Your planning instincts are just on point is what you’re saying.
69 00:16:16.340 ⇒ 00:16:19.070 Uttam Kumaran: Yes, they’re getting a lot better. They’re getting a lot better.
70 00:16:19.070 ⇒ 00:16:30.588 Bryce Codell: i i i am envious of you. Am I indoor plan? Instincts, or non-existent ari solicited me once to keep one of his snake plans alive while he was on vacation for a few weeks.
71 00:16:31.570 ⇒ 00:16:47.191 Bryce Codell: Pounded immediately he came home. He’s like Bryce. He, like took a picture he like had to like, remove it from the soil, and then move it to body like took pictures of the surgery that he performed as he was doing it, to let me know that he will never hire me again. For this
72 00:16:47.550 ⇒ 00:16:49.020 Bryce Codell: you get what you paid for, which was.
73 00:16:49.020 ⇒ 00:17:01.810 Uttam Kumaran: No, I know that’s the thing it’s like. But when you leave on vacation it’s really tough. But yeah, that that’s the thing. So if you over water it if they fuck up, and I never knew that I went through a whole round of killing like every plant.
74 00:17:01.990 ⇒ 00:17:05.540 Uttam Kumaran: and then it I took like a year where I was like, I’m not gonna do this.
75 00:17:05.579 ⇒ 00:17:08.309 Uttam Kumaran: And then I like got slowly back into it.
76 00:17:08.319 ⇒ 00:17:11.869 Bryce Codell: Yeah, yeah, I wish there were. Was more
77 00:17:12.019 ⇒ 00:17:21.309 Bryce Codell: like literature out there that I at least that I had seen to tell me like, hey, Bryce! Like embrace a year of like murdering in like houseplants.
78 00:17:21.310 ⇒ 00:17:39.320 Uttam Kumaran: No, this is the thing. It’s just like we don’t like. Yeah, we’re just everybody that gets into things is so gatekeeping and like not fucking normal about stuff where they just gotta for me. I’m like yo. I like. It’s kind of like cooking like people are like, oh, how did you get good at cooking. Well, I’m like I fucked up like years.
79 00:17:39.320 ⇒ 00:17:40.340 Bryce Codell: Yeah, exactly.
80 00:17:40.340 ⇒ 00:17:42.789 Uttam Kumaran: Oh, I like, no, I like
81 00:17:43.280 ⇒ 00:17:46.919 Uttam Kumaran: remember how to solve things like, I’m putting a seatbelt on like, it’s just like, yeah.
82 00:17:47.290 ⇒ 00:17:50.669 Uttam Kumaran: And like, or like I could do 3 things at once and talk.
83 00:17:50.740 ⇒ 00:18:01.830 Uttam Kumaran: How did you do it? Well, I just like fucked up for a long time. I don’t know what else to tell you. Yeah, I’m making it kind of easy for you, because otherwise you’re going to have to learn read books and stuff like that I’m like, no, just like.
84 00:18:02.240 ⇒ 00:18:05.950 Uttam Kumaran: just like, keep trying slowly and like, don’t ever invest.
85 00:18:06.400 ⇒ 00:18:07.070 Bryce Codell: Yes.
86 00:18:07.070 ⇒ 00:18:08.940 Uttam Kumaran: Won’t buy too many things, and.
87 00:18:08.940 ⇒ 00:18:09.470 Bryce Codell: Yeah.
88 00:18:09.470 ⇒ 00:18:10.370 Uttam Kumaran: Like.
89 00:18:10.370 ⇒ 00:18:11.000 Bryce Codell: Yeah.
90 00:18:11.000 ⇒ 00:18:13.047 Uttam Kumaran: Okay, just try again.
91 00:18:13.630 ⇒ 00:18:16.775 Uttam Kumaran: It’s a hobby. So it’s been like a little bit, you know.
92 00:18:17.300 ⇒ 00:18:19.459 Bryce Codell: No, a hundred percent. I’m like,
93 00:18:20.430 ⇒ 00:18:33.839 Bryce Codell: when I have my, when I’ve made my b 2 b money I want to like there are so many like consumer ideas that I have for just like passion projects like, and but all of them, it’s like, I want it to be
94 00:18:34.030 ⇒ 00:18:39.160 Bryce Codell: failure friendly. So it’s like, here’s like some guidelines and stuff, and like
95 00:18:39.560 ⇒ 00:18:43.850 Bryce Codell: you’re gonna fail. So here’s your backup plan, for when, like, you try to call.
96 00:18:43.850 ⇒ 00:18:44.360 Uttam Kumaran: Isn’t.
97 00:18:44.360 ⇒ 00:18:49.850 Bryce Codell: And it comes out like ass I. This is how you’ll course correct, and maybe it’s like.
98 00:18:49.920 ⇒ 00:18:53.009 Bryce Codell: I don’t know. We’ll subsidize you some like uber eats, or some shit like that.
99 00:18:53.010 ⇒ 00:18:58.358 Uttam Kumaran: Yeah, exactly. Or like, yeah, when you when you burn it, you’re like, I’m just gonna order ramen, whatever.
100 00:18:58.640 ⇒ 00:18:59.270 Bryce Codell: Exactly.
101 00:19:00.260 ⇒ 00:19:00.560 Bryce Codell: Okay.
102 00:19:02.108 ⇒ 00:19:05.491 Bryce Codell: yeah. And just be forgiving and be just be like.
103 00:19:05.830 ⇒ 00:19:10.409 Uttam Kumaran: Thanks for giving. Yeah. Like again, some people they ask. They’re like, Oh, my God, I just. I’m like
104 00:19:10.570 ⇒ 00:19:19.429 Uttam Kumaran: dude. I’m so tired I don’t know how to do these things. It’s just all gotta be on vibes. Mainly. I don’t have the time or energy to like. Think too hard about
105 00:19:20.250 ⇒ 00:19:21.889 Uttam Kumaran: the rest of stuff. Yeah.
106 00:19:21.890 ⇒ 00:19:22.630 Bryce Codell: Yeah.
107 00:19:22.630 ⇒ 00:19:25.500 Uttam Kumaran: Although what you got a guy on my team just sent me yerba
108 00:19:25.570 ⇒ 00:19:26.770 Uttam Kumaran: here. But Matte.
109 00:19:26.770 ⇒ 00:19:28.160 Bryce Codell: Hello! Very nice.
110 00:19:28.160 ⇒ 00:19:29.730 Uttam Kumaran: Drinking a bunch of that today.
111 00:19:29.730 ⇒ 00:19:30.620 Bryce Codell: Very nice.
112 00:19:30.620 ⇒ 00:19:40.615 Uttam Kumaran: Do I feel super caffinated? No, but if I think it’s better for you than just like what I do, which is drink fucking double espresso.
113 00:19:41.000 ⇒ 00:19:42.239 Bryce Codell: Like to the face.
114 00:19:42.240 ⇒ 00:19:43.416 Uttam Kumaran: Freak the fuck out.
115 00:19:43.710 ⇒ 00:19:45.322 Bryce Codell: Yeah, we we
116 00:19:46.380 ⇒ 00:19:50.619 Bryce Codell: did. I tell you we bought one of those like fancy espresso makers the bread like a bread.
117 00:19:50.620 ⇒ 00:19:53.290 Uttam Kumaran: I have one, too, and like, back there somewhere. Yeah.
118 00:19:53.290 ⇒ 00:19:57.780 Bryce Codell: It’s just like once that’s like once that’s in play. It like.
119 00:19:58.230 ⇒ 00:19:59.880 Uttam Kumaran: And coffee is so good it’s.
120 00:19:59.880 ⇒ 00:20:00.790 Bryce Codell: It’s like, yeah.
121 00:20:00.790 ⇒ 00:20:05.199 Uttam Kumaran: So good. When you go to you buy the beans from like your local store that you like.
122 00:20:05.990 ⇒ 00:20:08.049 Uttam Kumaran: Holy fuck! This is so good.
123 00:20:08.050 ⇒ 00:20:08.670 Bryce Codell: Yeah, and.
124 00:20:08.670 ⇒ 00:20:10.999 Uttam Kumaran: Make lattes and stuff at home. But yeah, I just.
125 00:20:11.220 ⇒ 00:20:14.579 Uttam Kumaran: It’s so easy just to take like, just take it to the face.
126 00:20:14.580 ⇒ 00:20:15.250 Bryce Codell: Yeah.
127 00:20:15.830 ⇒ 00:20:24.930 Uttam Kumaran: I’m glad I didn’t have that when I was in New York, because I was just drink. We just drink about. We work home. Then it would be brutal cause. I would have had one before and after work, probably.
128 00:20:24.930 ⇒ 00:20:25.540 Bryce Codell: Yeah.
129 00:20:25.540 ⇒ 00:20:31.572 Uttam Kumaran: So in addition to like having cool, just like dude, there were days. I just only drink cold.
130 00:20:32.790 ⇒ 00:20:34.452 Uttam Kumaran: I didn’t drink water like I just.
131 00:20:34.690 ⇒ 00:20:35.970 Bryce Codell: There’s water in this right.
132 00:20:35.970 ⇒ 00:20:39.880 Uttam Kumaran: No, I’m pretty sure there was water in it like I’m just gonna drink this all day.
133 00:20:39.880 ⇒ 00:20:40.520 Bryce Codell: Yeah.
134 00:20:40.520 ⇒ 00:20:44.252 Uttam Kumaran: And then you get you go to lunch. You come back. I’m tired. I can have more cobra.
135 00:20:44.991 ⇒ 00:20:49.769 Bryce Codell: Yeah. Gotta love that that early twenties, metabolism, mentality.
136 00:20:49.770 ⇒ 00:20:54.499 Uttam Kumaran: Yeah. And like, now, I’m like, I need to. I can’t eat before I sleep.
137 00:20:55.422 ⇒ 00:20:58.390 Uttam Kumaran: Yeah, I’m like brushing my teeth more often.
138 00:20:58.390 ⇒ 00:21:03.803 Bryce Codell: Yeah, I like cut myself off from drinking at like 9 Pm. And like, if I have anything sugary after 7 o’clock.
139 00:21:04.430 ⇒ 00:21:05.890 Bryce Codell: Edward Hartburg.
140 00:21:06.220 ⇒ 00:21:08.089 Uttam Kumaran: Yeah, yeah, yeah.
141 00:21:08.525 ⇒ 00:21:08.960 Bryce Codell: Yeah.
142 00:21:10.220 ⇒ 00:21:16.423 Bryce Codell: yeah. Yeah. But anyway, yeah, thank you for setting me up with some Google and slack access.
143 00:21:16.750 ⇒ 00:21:18.250 Uttam Kumaran: So you inside. Now.
144 00:21:18.250 ⇒ 00:21:21.419 Bryce Codell: I I’m I’m Bryce at Brain Forge.
145 00:21:21.830 ⇒ 00:21:24.539 Uttam Kumaran: Yay, okay, and you’re in slack.
146 00:21:24.540 ⇒ 00:21:26.840 Bryce Codell: I am in slack. I just joined.
147 00:21:26.840 ⇒ 00:21:28.380 Uttam Kumaran: Yay. Okay.
148 00:21:28.380 ⇒ 00:21:29.330 Bryce Codell: For this call.
149 00:21:30.230 ⇒ 00:21:33.120 Uttam Kumaran: I don’t know what a default puts you in, but
150 00:21:33.710 ⇒ 00:21:39.830 Bryce Codell: The channels are internal alerts, announcements, automations AI, and giving back.
151 00:21:39.830 ⇒ 00:21:40.490 Uttam Kumaran: Cool.
152 00:21:40.689 ⇒ 00:21:44.080 Bryce Codell: I don’t know if there are other channels they think I should join, or anything like that.
153 00:21:44.511 ⇒ 00:21:46.669 Uttam Kumaran: I will add you to
154 00:21:47.440 ⇒ 00:21:48.530 Uttam Kumaran: stuff.
155 00:21:48.730 ⇒ 00:21:52.490 Uttam Kumaran: A lot of stuff is just going to be noisy, but I’ll add you to. I’ll add you to stuff.
156 00:21:52.490 ⇒ 00:21:53.489 Bryce Codell: Yeah. Martin. So.
157 00:21:53.490 ⇒ 00:21:57.300 Uttam Kumaran: What else is on the list? So ndas, yeah, I have it open. I need to
158 00:21:57.500 ⇒ 00:21:59.960 Uttam Kumaran: just hit you with the adobe sign.
159 00:22:01.970 ⇒ 00:22:03.480 Uttam Kumaran: And
160 00:22:03.520 ⇒ 00:22:05.469 Uttam Kumaran: yeah, let’s talk about.
161 00:22:05.580 ⇒ 00:22:09.020 Uttam Kumaran: I read your okay. Let me add you to Github.
162 00:22:09.880 ⇒ 00:22:11.600 Uttam Kumaran: Oh, so I don’t forget.
163 00:22:12.930 ⇒ 00:22:13.610 Bryce Codell: Yen
164 00:22:14.491 ⇒ 00:22:23.499 Bryce Codell: regarding Nda, I will probably have my I will have my lawyer take a look at it, and I will probably come back with some adjustments, just as a heads up.
165 00:22:23.910 ⇒ 00:22:27.059 Uttam Kumaran: It’s a blank. It’s a blanket one. So yeah, change whatever.
166 00:22:27.060 ⇒ 00:22:30.279 Bryce Codell: Yeah, yeah, I just want to make sure that we’re like.
167 00:22:30.760 ⇒ 00:22:31.280 Uttam Kumaran: Yeah.
168 00:22:31.280 ⇒ 00:22:36.351 Bryce Codell: Yeah, on the same page around, like what this looks like with the scenarios in which, like.
169 00:22:36.880 ⇒ 00:22:42.529 Bryce Codell: I’m only getting paid. If you’re getting paid like who are stuff like that. I wanna make sure that that stuff is.
170 00:22:42.530 ⇒ 00:22:49.699 Uttam Kumaran: Yeah. So the main thing on the yeah. So I think we should probably sign an nda, and then actual, like a
171 00:22:50.410 ⇒ 00:22:58.729 Uttam Kumaran: like a contract or something separate, but if we’re having your lawyer to do it, then then take a crack at it.
172 00:22:59.380 ⇒ 00:23:00.539 Uttam Kumaran: Have some stuff.
173 00:23:01.463 ⇒ 00:23:11.799 Uttam Kumaran: The usual contracts, the usual contract. Some people are like pretty specified on rates, and like actual work, something different. But then I can
174 00:23:12.250 ⇒ 00:23:19.740 Uttam Kumaran: either get feedback or send it to my lawyers. It’s just like if I send it to. They just took a lot of money. It’s gonna take a little bit. So.
175 00:23:19.740 ⇒ 00:23:20.300 Bryce Codell: Yeah, me.
176 00:23:20.300 ⇒ 00:23:26.599 Uttam Kumaran: You’re taking a crack at it. Then that’s perfect, and then let’s just like workshop it until it’s adds everything detailed.
177 00:23:28.120 ⇒ 00:23:41.279 Bryce Codell: Yeah, that makes sense. Yeah, for like the nda, that should be relatively quick. But then, yeah, we should get like some type of like and like master service agreement in place. That’s just like generic. And we can that will like encompass the like. This like
178 00:23:41.320 ⇒ 00:23:53.049 Bryce Codell: proof of concept period. And then once we start to like shop, the stuff I’m building around to some of your clients. We can do like we can do an addendum to that and clarify, like what the like.
179 00:23:53.100 ⇒ 00:23:58.569 Bryce Codell: what the costs and stuff like, what like proceeds revenue and stuff like. How that’ll how that work.
180 00:23:58.750 ⇒ 00:24:03.660 Uttam Kumaran: Okay, let me just finish adding, you
181 00:24:04.720 ⇒ 00:24:06.320 Uttam Kumaran: here.
182 00:24:10.150 ⇒ 00:24:12.459 Uttam Kumaran: Okay, check. If you got the Github
183 00:24:13.360 ⇒ 00:24:14.590 Uttam Kumaran: invite.
184 00:24:32.030 ⇒ 00:24:34.846 Bryce Codell: I have a few different
185 00:24:35.960 ⇒ 00:24:37.699 Uttam Kumaran: Okay, it should have just sent.
186 00:24:37.700 ⇒ 00:24:38.250 Bryce Codell: Eric.
187 00:24:38.750 ⇒ 00:24:39.710 Bryce Codell: Let’s see.
188 00:24:40.450 ⇒ 00:24:41.750 Bryce Codell: here we go.
189 00:24:48.150 ⇒ 00:24:50.339 Uttam Kumaran: We have teams, repos.
190 00:24:50.680 ⇒ 00:24:51.770 Bryce Codell: Everybody, eats.
191 00:24:52.480 ⇒ 00:24:56.770 Uttam Kumaran: Everybody eats. Yeah, that was actually gonna be like, kind of our open source.
192 00:24:57.480 ⇒ 00:25:01.119 Uttam Kumaran: People. There is some stuff that we have internally that I want to
193 00:25:01.880 ⇒ 00:25:03.380 Uttam Kumaran: publish. But
194 00:25:03.390 ⇒ 00:25:05.580 Uttam Kumaran: yeah, name Tbd.
195 00:25:05.580 ⇒ 00:25:05.870 Bryce Codell: Yeah.
196 00:25:06.160 ⇒ 00:25:09.449 Uttam Kumaran: But like we have, like, we have brain forge actions which
197 00:25:11.050 ⇒ 00:25:14.950 Uttam Kumaran: has a lot of our internal like actions and stuff that we’ve been doing.
198 00:25:18.230 ⇒ 00:25:18.910 Bryce Codell: Yeah.
199 00:25:19.400 ⇒ 00:25:26.179 Uttam Kumaran: And yeah, there’s a lot of helpful stuff. And then so in terms of clients. So I’m just gonna kind of keep adding stuff to
200 00:25:27.128 ⇒ 00:25:30.710 Uttam Kumaran: I’m just gonna add a little. Another notes thing for us here.
201 00:25:40.470 ⇒ 00:25:45.019 Uttam Kumaran: cool. So we’re there’s 2 clients now that I think would be
202 00:25:45.460 ⇒ 00:25:51.009 Uttam Kumaran: good one. That’s really large, 1 1 that’s really large in terms of scope
203 00:25:51.040 ⇒ 00:25:55.629 Uttam Kumaran: and the amount of stuff we’ve already done one that’s relatively newer
204 00:25:56.570 ⇒ 00:25:57.849 Uttam Kumaran: but also
205 00:25:58.410 ⇒ 00:26:03.349 Uttam Kumaran: where, like again. They they probably both are similar opportunities.
206 00:26:04.710 ⇒ 00:26:07.110 Uttam Kumaran: And so we could just talk through both of them.
207 00:26:08.190 ⇒ 00:26:11.173 Uttam Kumaran: so the 1st one and I will.
208 00:26:13.290 ⇒ 00:26:18.540 Uttam Kumaran: I’ll also invite you to notion, and you could. You’ll kind of see all of our docs and stuff like that.
209 00:26:19.190 ⇒ 00:26:20.710 Uttam Kumaran: Brain, forge, one.
210 00:26:21.780 ⇒ 00:26:27.059 Uttam Kumaran: But the we have one client that’s called. It’s actually the client that I got from Kenny.
211 00:26:27.420 ⇒ 00:26:27.960 Bryce Codell: Parts.
212 00:26:27.960 ⇒ 00:26:29.100 Uttam Kumaran: Oh, yeah.
213 00:26:29.260 ⇒ 00:26:29.860 Bryce Codell: Sec.
214 00:26:30.090 ⇒ 00:26:33.350 Uttam Kumaran: And the company is called Company, called Stella Source.
215 00:26:35.080 ⇒ 00:26:37.890 Uttam Kumaran: Stella source is a steel
216 00:26:38.240 ⇒ 00:26:39.450 Uttam Kumaran: quoting
217 00:26:41.440 ⇒ 00:26:42.770 Uttam Kumaran: software.
218 00:26:43.560 ⇒ 00:26:45.700 Uttam Kumaran: Or steel fabrication.
219 00:26:47.580 ⇒ 00:26:50.540 Uttam Kumaran: Basically, they have a software that allows people to like
220 00:26:51.390 ⇒ 00:26:57.009 Uttam Kumaran: input measurements. And there’s both like a analytics component. There’s a product
221 00:26:57.050 ⇒ 00:26:58.640 Uttam Kumaran: data component.
222 00:26:59.240 ⇒ 00:27:08.346 Uttam Kumaran: There is a Zendesk component so they have a pretty good wide range of data. Full parts is like super broad
223 00:27:10.140 ⇒ 00:27:14.149 Uttam Kumaran: we are working on everything we are working on.
224 00:27:14.210 ⇒ 00:27:17.810 Uttam Kumaran: on, almost on almost everything except for
225 00:27:17.820 ⇒ 00:27:19.170 Uttam Kumaran: financials.
226 00:27:19.911 ⇒ 00:27:28.038 Uttam Kumaran: In terms of like accounting. But we are doing like financial measurement. We’re doing everything from sales
227 00:27:28.540 ⇒ 00:27:34.087 Uttam Kumaran: to like, from sales to shipping to
228 00:27:36.280 ⇒ 00:27:39.812 Uttam Kumaran: sales, shipping tickets.
229 00:27:41.941 ⇒ 00:27:45.148 Uttam Kumaran: We’re doing inventory. We’re doing
230 00:27:47.625 ⇒ 00:27:52.634 Uttam Kumaran: sales tickets, shipping inventory. We’re also doing
231 00:27:55.620 ⇒ 00:27:58.780 Uttam Kumaran: like profit related things, cogs
232 00:28:00.275 ⇒ 00:28:01.590 Uttam Kumaran: discounts.
233 00:28:02.390 ⇒ 00:28:03.100 Bryce Codell: We’re in.
234 00:28:03.460 ⇒ 00:28:10.010 Uttam Kumaran: Refunds, basically the entire Ecom landscape. Some of their big problems
235 00:28:10.050 ⇒ 00:28:13.160 Uttam Kumaran: right now that we’re working on are
236 00:28:13.900 ⇒ 00:28:14.750 Uttam Kumaran: and
237 00:28:14.940 ⇒ 00:28:21.500 Uttam Kumaran: some of their, some of their prompt. So I’ll just list some of their like goals. So goals right now is like profitable every day.
238 00:28:21.730 ⇒ 00:28:23.030 Uttam Kumaran: Decrease
239 00:28:23.990 ⇒ 00:28:25.750 Uttam Kumaran: marketing costs.
240 00:28:27.747 ⇒ 00:28:30.649 Uttam Kumaran: segments, customers decrease
241 00:28:31.410 ⇒ 00:28:32.690 Uttam Kumaran: shipping costs.
242 00:28:33.930 ⇒ 00:28:37.590 Uttam Kumaran: I’ll just. I’ll just be. That’s a straight up kind of like
243 00:28:38.450 ⇒ 00:28:45.980 Uttam Kumaran: goals that they that we’re working on right now, which are pretty broad, but in terms of like what we’re doing. One we’re helping them
244 00:28:47.090 ⇒ 00:28:50.169 Uttam Kumaran: open new shipping warehouses
245 00:28:50.510 ⇒ 00:28:51.980 Uttam Kumaran: to decrease
246 00:28:55.200 ⇒ 00:28:59.520 Uttam Kumaran: distance between warehouse and customers.
247 00:28:59.600 ⇒ 00:29:03.780 Uttam Kumaran: We’re segmenting their customers between
248 00:29:04.400 ⇒ 00:29:05.870 Uttam Kumaran: professional
249 00:29:05.900 ⇒ 00:29:07.570 Uttam Kumaran: and consumers.
250 00:29:07.860 ⇒ 00:29:09.809 Bryce Codell: Are you writing this up, or are you reading this.
251 00:29:09.810 ⇒ 00:29:12.379 Uttam Kumaran: I. I am writing this in
252 00:29:12.720 ⇒ 00:29:14.080 Uttam Kumaran: in notion.
253 00:29:14.080 ⇒ 00:29:17.559 Bryce Codell: Okay, not in the one that you share, not on the dock. You share with me.
254 00:29:17.560 ⇒ 00:29:21.710 Uttam Kumaran: In the one I in the one I shared with you. If you scroll down, there’s meeting notes.
255 00:29:21.710 ⇒ 00:29:25.809 Bryce Codell: Oh, I just don’t have that expanded. You’re like a fucking boot.
256 00:29:25.810 ⇒ 00:29:26.590 Uttam Kumaran: Alright.
257 00:29:30.140 ⇒ 00:29:34.939 Uttam Kumaran: So segmenting their customers between professionals and consumers.
258 00:29:36.110 ⇒ 00:29:37.390 Uttam Kumaran: We’re also
259 00:29:37.500 ⇒ 00:29:44.530 Uttam Kumaran: assisting in the expansion of their direct mail marketing
260 00:29:44.740 ⇒ 00:29:46.060 Uttam Kumaran: program.
261 00:29:48.470 ⇒ 00:29:49.710 Uttam Kumaran: and
262 00:29:50.670 ⇒ 00:29:52.350 Uttam Kumaran: I’m also
263 00:29:52.520 ⇒ 00:29:54.929 Uttam Kumaran: having anomaly
264 00:29:55.190 ⇒ 00:29:56.680 Uttam Kumaran: detection
265 00:29:56.760 ⇒ 00:30:00.089 Uttam Kumaran: and testing on key kpis
266 00:30:00.340 ⇒ 00:30:01.980 Uttam Kumaran: 2. There’s
267 00:30:02.090 ⇒ 00:30:02.800 Uttam Kumaran: Dan.
268 00:30:05.430 ⇒ 00:30:08.360 Uttam Kumaran: kind of the infra problems.
269 00:30:09.380 ⇒ 00:30:11.819 Uttam Kumaran: testing everywhere.
270 00:30:14.500 ⇒ 00:30:17.850 Uttam Kumaran: setting up real for them.
271 00:30:18.950 ⇒ 00:30:19.820 Uttam Kumaran: I’m
272 00:30:21.470 ⇒ 00:30:23.120 Uttam Kumaran: setting up rail
273 00:30:23.190 ⇒ 00:30:27.330 Uttam Kumaran: and getting them onboarded. We’re moving off of light. Dash.
274 00:30:29.840 ⇒ 00:30:31.890 Uttam Kumaran: Because it sucks compared to real.
275 00:30:31.890 ⇒ 00:30:32.730 Bryce Codell: Hmm.
276 00:30:33.353 ⇒ 00:30:36.639 Uttam Kumaran: And it’s way less code and like way less bullshit to manage.
277 00:30:39.990 ⇒ 00:30:43.778 Uttam Kumaran: these are probably like the biggest things.
278 00:30:45.270 ⇒ 00:30:54.269 Uttam Kumaran: there’s just a long tail of stuff for them. Basically, the the things that we really impacted for them, so far as we really help them reduce their shipping costs.
279 00:30:54.360 ⇒ 00:30:58.870 Uttam Kumaran: We also basically brought them from 0 to one on reporting, and that they have
280 00:30:59.320 ⇒ 00:31:02.200 Uttam Kumaran: reporting now across all these different segments.
281 00:31:03.060 ⇒ 00:31:07.460 Uttam Kumaran: However, as you see, these are multiple different categories of data.
282 00:31:08.270 ⇒ 00:31:16.570 Uttam Kumaran: So like, probably a really good way for you to get an understanding of a variety of different
283 00:31:16.600 ⇒ 00:31:17.990 Uttam Kumaran: data models.
284 00:31:18.070 ⇒ 00:31:18.784 Uttam Kumaran: And
285 00:31:20.670 ⇒ 00:31:22.629 Uttam Kumaran: you know, understand? Like, kind of like.
286 00:31:25.000 ⇒ 00:31:28.579 Uttam Kumaran: understand? Like, how we’re modeling stuff from each of these areas?
287 00:31:30.000 ⇒ 00:31:31.640 Uttam Kumaran: the, the.
288 00:31:31.660 ⇒ 00:31:38.210 Uttam Kumaran: the thing I’ll say is data modeling for these guys is a challenge just because of how broad it is.
289 00:31:38.565 ⇒ 00:31:42.019 Uttam Kumaran: I think for someone like me or you, or like
290 00:31:42.400 ⇒ 00:31:55.140 Uttam Kumaran: Brian, who’s helping this is manageable, because, like we can kind of, I think we’re just like senior enough to kind of see everything for junior people. It’s really difficult. And for analysts really difficult, because
291 00:31:55.370 ⇒ 00:31:59.820 Uttam Kumaran: they just like have a hard time seeing all this in their head.
292 00:31:59.820 ⇒ 00:32:00.560 Bryce Codell: Yeah.
293 00:32:00.560 ⇒ 00:32:04.370 Uttam Kumaran: So that’s where I do. I am trying to think about like
294 00:32:05.550 ⇒ 00:32:10.410 Uttam Kumaran: exactly what we talked about last time. Where, how do we simplify this. There’s there’s
295 00:32:10.420 ⇒ 00:32:14.959 Uttam Kumaran: I, probably a ton. There’s a ton of Dbt files
296 00:32:15.200 ⇒ 00:32:16.899 Uttam Kumaran: across all this stuff.
297 00:32:17.030 ⇒ 00:32:17.560 Bryce Codell: Hmm.
298 00:32:17.610 ⇒ 00:32:23.850 Uttam Kumaran: Definitely opportunities for consolidation and clean up. It’s just like this is a. This is like.
299 00:32:24.050 ⇒ 00:32:30.439 Uttam Kumaran: in a year we’ve gone them to a pretty to a really good spot in terms of Dbt, and that they have a lot of stuff.
300 00:32:31.181 ⇒ 00:32:34.520 Uttam Kumaran: The tough part is, there’s a lot of logic
301 00:32:35.059 ⇒ 00:32:44.221 Uttam Kumaran: across sales. They sell on like Amazon and shopify, and Walmart. They ship through multiple different shipping providers.
302 00:32:45.420 ⇒ 00:32:50.749 Uttam Kumaran: So each of these has, like some a bunch of nuances in terms of where the data is coming from. Clean up in the middle.
303 00:32:50.970 ⇒ 00:32:51.580 Bryce Codell: And how.
304 00:32:51.580 ⇒ 00:32:52.430 Uttam Kumaran: Splayed
305 00:32:53.740 ⇒ 00:33:02.299 Bryce Codell: Do you have any references to like process related documentation, like, what does their sales process look like? What does their fulfillment process look like? What does shipping look like.
306 00:33:02.300 ⇒ 00:33:15.999 Uttam Kumaran: We are starting a lot of that for each client. Basically, we have documentation on, we’re basically starting kind of a documentation library on each of those things.
307 00:33:17.450 ⇒ 00:33:21.489 Uttam Kumaran: I think, mainly just because of it was mostly me for the first, st
308 00:33:21.710 ⇒ 00:33:24.159 Uttam Kumaran: like 6 months of pull parts
309 00:33:24.370 ⇒ 00:33:35.909 Uttam Kumaran: that we just didn’t. I just didn’t have time to invest in that. Now we do have a lot. We do have a we do have a good amount of documentation since then, and we have access to everybody in slack.
310 00:33:35.990 ⇒ 00:33:37.590 Uttam Kumaran: And so
311 00:33:38.900 ⇒ 00:33:48.360 Uttam Kumaran: All this is either is in my head or in somebody’s head on the team. So a lot of it is probably just like getting it out on paper. The other thing that I think a lot about is like
312 00:33:48.530 ⇒ 00:33:53.439 Uttam Kumaran: we’re we’re having a new process by which we do documentation for our clients.
313 00:33:54.058 ⇒ 00:33:56.711 Uttam Kumaran: That’s kind of like we have like
314 00:33:57.190 ⇒ 00:34:06.200 Uttam Kumaran: how to documents versus like infra set up documents versus like client specific stuff. So that’s even a whole area of stuff that we’ve only been starting to do in the last 2 months.
315 00:34:07.236 ⇒ 00:34:10.860 Uttam Kumaran: But I’ll I think a lot of this will just be like QA. Between us.
316 00:34:11.846 ⇒ 00:34:13.080 Uttam Kumaran: But also
317 00:34:13.290 ⇒ 00:34:18.530 Uttam Kumaran: probably just asking directly. And we have a client channel where you can ask directly in there, and someone will answer.
318 00:34:19.170 ⇒ 00:34:20.409 Bryce Codell: Okay, yeah.
319 00:34:20.460 ⇒ 00:34:23.069 Bryce Codell: yeah, that makes sense like the.
320 00:34:23.199 ⇒ 00:34:24.600 Bryce Codell: And
321 00:34:24.610 ⇒ 00:34:38.520 Bryce Codell: this, this looks good. Love, the love, the use of qualified statements big fan. But anyway, the I’m getting a little sidetracked digging into the looking at the actual code. So do you off the top of your head like, what are the
322 00:34:38.530 ⇒ 00:34:52.899 Bryce Codell: key business entities that pull parts things about on a regular basis? Do they? Typically look at things at the order level, at the shipment level, at the customer level all the above.
323 00:34:53.270 ⇒ 00:34:57.870 Uttam Kumaran: It’s all the above. It’s like order items in an order. It’s the order itself.
324 00:34:59.181 ⇒ 00:35:01.989 Uttam Kumaran: Order can have one or more shipments.
325 00:35:02.110 ⇒ 00:35:02.570 Bryce Codell: -
326 00:35:02.945 ⇒ 00:35:06.320 Uttam Kumaran: And then an order is attributed to a customer.
327 00:35:06.860 ⇒ 00:35:13.269 Uttam Kumaran: They’re primarily sell on Amazon and shopify, but shopify. We have a wealth more of information.
328 00:35:15.460 ⇒ 00:35:21.260 Uttam Kumaran: They don’t care so much about Zendesk in that it’s running well, and we have reporting
329 00:35:21.450 ⇒ 00:35:25.059 Uttam Kumaran: oh, and then marketing costs. Of course they they run ads on
330 00:35:25.450 ⇒ 00:35:28.090 Uttam Kumaran: like all the classic platforms.
331 00:35:30.330 ⇒ 00:35:36.179 Uttam Kumaran: And then just understanding impact. We, we aren’t doing anything on their site. Analytics in in that.
332 00:35:36.260 ⇒ 00:35:38.379 Uttam Kumaran: It just hasn’t been something we’ve gone to.
333 00:35:39.403 ⇒ 00:35:43.109 Uttam Kumaran: Meaning we’re not really doing any sort of attribution.
334 00:35:43.190 ⇒ 00:35:49.019 Uttam Kumaran: mainly because, you know, the conversation I had with them is like, Look, we can embark on like trying to figure out
335 00:35:49.040 ⇒ 00:36:01.200 Uttam Kumaran: attribution and stuff like that. Instead, I think you should just govern what your marketing costs are, and then what your expectation is on in terms of sales, and we’ll get to there later. Basically.
336 00:36:01.200 ⇒ 00:36:01.779 Bryce Codell: Yeah, now.
337 00:36:01.780 ⇒ 00:36:08.389 Uttam Kumaran: These guys. They don’t have a ton of analysts. They actually work. They don’t have any people that are like actively
338 00:36:08.480 ⇒ 00:36:11.849 Uttam Kumaran: analyzing data more that they have just operators.
339 00:36:11.850 ⇒ 00:36:12.440 Bryce Codell: Yet.
340 00:36:12.440 ⇒ 00:36:13.365 Uttam Kumaran: Oh,
341 00:36:15.470 ⇒ 00:36:18.170 Uttam Kumaran: It’s like less relevant for them to like.
342 00:36:18.500 ⇒ 00:36:23.590 Uttam Kumaran: Have a shits on the dimensionality. It’s more relevant for us to just tell them like what the answer is.
343 00:36:24.120 ⇒ 00:36:32.220 Uttam Kumaran: Or at least like, give them just a couple of things to explore and tell them what the answer is. This is a unique client, and that they don’t care how we get there.
344 00:36:33.031 ⇒ 00:36:36.108 Uttam Kumaran: They just care that we get to a decision.
345 00:36:36.710 ⇒ 00:36:42.100 Uttam Kumaran: like letting them like giving them too many options is actually going. They’re good. The feedback we’re gonna get is like.
346 00:36:42.130 ⇒ 00:36:45.149 Uttam Kumaran: simplify and give us a recommendation.
347 00:36:45.280 ⇒ 00:36:50.919 Uttam Kumaran: So this is an interesting client where we we’re like full. We’re like, really full stack.
348 00:36:52.100 ⇒ 00:36:58.605 Bryce Codell: yeah, that. Okay, this is awesome, that this is exactly the type of like
349 00:36:59.340 ⇒ 00:37:03.380 Bryce Codell: data set, or like data stores that I would want to work with.
350 00:37:03.380 ⇒ 00:37:03.960 Uttam Kumaran: Yeah.
351 00:37:03.960 ⇒ 00:37:06.681 Bryce Codell: For for a proof of concept.
352 00:37:07.070 ⇒ 00:37:13.919 Uttam Kumaran: Yeah, and my suggestion would be to take one segment. And you can, we basically also, we’re using elementary
353 00:37:14.530 ⇒ 00:37:20.650 Uttam Kumaran: and then in in elementary for testing, but also it has, like linear graphs and stuff like that. So.
354 00:37:21.726 ⇒ 00:37:22.500 Uttam Kumaran: I’ll like.
355 00:37:22.500 ⇒ 00:37:24.329 Bryce Codell: Using their cloud product or just their.
356 00:37:24.330 ⇒ 00:37:29.810 Uttam Kumaran: No, we are self. We’re just self hosting it on s. 3, because 600 per
357 00:37:31.130 ⇒ 00:37:42.159 Uttam Kumaran: something. And I was like, I’m not fucking paying that we’re gonna run this like, we’re just, we’re just running it in a Github action. And then we’re hosting the HTML file.
358 00:37:42.740 ⇒ 00:37:46.140 Uttam Kumaran: Kind of like Akila used to do with like Dbt. Cloud.
359 00:37:46.140 ⇒ 00:37:46.970 Bryce Codell: Yeah.
360 00:37:47.231 ⇒ 00:37:49.060 Uttam Kumaran: When we 1st started using dbt, so
361 00:37:49.410 ⇒ 00:37:57.770 Uttam Kumaran: I mean again, I I am cost conscious when it comes like dumb stuff like that, like. I’m just not going to pay that same with Dbt, I’m just not going to pay
362 00:37:58.800 ⇒ 00:37:59.590 Bryce Codell: Yeah.
363 00:37:59.850 ⇒ 00:38:01.580 Uttam Kumaran: Like I can’t. I’m not like
364 00:38:01.840 ⇒ 00:38:06.339 Uttam Kumaran: if we if it’s open source and they’re just making it hard. Then we’re gonna find a way around that.
365 00:38:06.340 ⇒ 00:38:06.760 Bryce Codell: Yeah.
366 00:38:07.362 ⇒ 00:38:16.919 Uttam Kumaran: Cause. I’m we have like, we have people. And we can do that sort of stuff. So we run elementary. We have elementary tests, and then we just host test host HDMI. S. 3.
367 00:38:16.920 ⇒ 00:38:19.663 Bryce Codell: Hmm, yeah, that makes a ton of sense.
368 00:38:20.570 ⇒ 00:38:22.710 Bryce Codell: yeah. So
369 00:38:28.250 ⇒ 00:38:30.380 Bryce Codell: when they sell.
370 00:38:31.000 ⇒ 00:38:40.379 Bryce Codell: it’s you one of the things that I see you talking about up here is segmenting between their like professional versus consumer customers. So
371 00:38:40.910 ⇒ 00:38:47.970 Bryce Codell: are you talking about doing like some sort of clust, like clustering analysis, like like rules, based analysis.
372 00:38:47.970 ⇒ 00:38:55.679 Uttam Kumaran: Yeah, all of our stuff is rules based in that. We basically, you know, it’s like a, it’s a double thing. It’s 1.
373 00:38:56.788 ⇒ 00:39:07.700 Uttam Kumaran: The nice thing here is we’re not trying to like hit a kpi. And so we skew the definition to hit it. We’re establishing like a new metric. So the 1st thing I wanted to get is like a baseline of like.
374 00:39:08.140 ⇒ 00:39:13.909 Uttam Kumaran: who? How many are a customer base like? How many are professionals versus? How many are
375 00:39:14.720 ⇒ 00:39:17.609 Uttam Kumaran: consumers, and I’ll kind of show you a little bit of like
376 00:39:17.840 ⇒ 00:39:18.715 Uttam Kumaran: the
377 00:39:20.680 ⇒ 00:39:23.740 Uttam Kumaran: the split there. Let me just share this.
378 00:39:26.330 ⇒ 00:39:28.099 Uttam Kumaran: What this is gonna share.
379 00:39:28.980 ⇒ 00:39:30.910 Uttam Kumaran: or it’s not gonna share anything.
380 00:39:32.680 ⇒ 00:39:34.750 Uttam Kumaran: Okay, this
381 00:39:35.980 ⇒ 00:39:38.119 Uttam Kumaran: cool. So let me just show you
382 00:39:38.630 ⇒ 00:39:42.339 Uttam Kumaran: like, kind of in real like what we decide to do
383 00:39:42.490 ⇒ 00:39:43.810 Uttam Kumaran: so
384 00:39:44.750 ⇒ 00:39:46.140 Uttam Kumaran: we
385 00:39:46.800 ⇒ 00:39:50.850 Uttam Kumaran: have like. So we so one is, we can only do this for shopify because
386 00:39:51.180 ⇒ 00:40:00.260 Uttam Kumaran: Amazon doesn’t give us customer ids or customer. It just does give us the emails. And so there’s no really, we can’t really retarget.
387 00:40:01.870 ⇒ 00:40:07.339 Uttam Kumaran: And we basically can’t understand like repeat orders and like shit like that. So it’s kind of a waste in terms of data.
388 00:40:07.530 ⇒ 00:40:08.170 Bryce Codell: Yeah.
389 00:40:08.170 ⇒ 00:40:11.889 Uttam Kumaran: What what we did is basically in the pool parts.
390 00:40:12.520 ⇒ 00:40:19.069 Uttam Kumaran: In the pool parts business as a whole. There are 2 types of customers. They sell directly to people like
391 00:40:19.310 ⇒ 00:40:36.859 Uttam Kumaran: buy on the pool, and I want to replace my own pump. I could buy them. Reason is, it’s way cheaper than buying from your pool, Guy. There’s also handy men that kind of buy from them where they’re going to like. Wonder they have a couple of pool routes. They do, they buy and they install it. And there’s also, like some larger pool service companies
392 00:40:36.940 ⇒ 00:40:39.875 Uttam Kumaran: that basically just buy from probably them. And a variety of people.
393 00:40:40.120 ⇒ 00:40:40.650 Bryce Codell: Yeah.
394 00:40:40.650 ⇒ 00:40:42.900 Uttam Kumaran: Bullparts. Business is primarily
395 00:40:43.390 ⇒ 00:40:46.249 Uttam Kumaran: the former. It’s like individual consumers.
396 00:40:46.250 ⇒ 00:40:46.880 Bryce Codell: Yeah.
397 00:40:46.880 ⇒ 00:40:47.490 Uttam Kumaran: Hmm.
398 00:40:47.660 ⇒ 00:40:48.630 Uttam Kumaran: which
399 00:40:49.510 ⇒ 00:40:55.319 Uttam Kumaran: they have. We basically found that they have a different profile in in buying, and that we found that like.
400 00:40:55.650 ⇒ 00:41:09.800 Uttam Kumaran: there’s a couple of ways where we set how we segmented one, we we want to segment just based on email. So we looked at like people with like pool in their email or pool service in their email. So that that’s a dead giveaway. Second thing is and you can see that’s this, like flag year. We have, like
401 00:41:10.536 ⇒ 00:41:13.690 Uttam Kumaran: types to like total distant customers. You can see that like
402 00:41:13.990 ⇒ 00:41:16.639 Uttam Kumaran: this is, if I just do the last 2 years.
403 00:41:17.170 ⇒ 00:41:24.592 Uttam Kumaran: There’s only like 197 people that like have that email domain flag. Second thing we looked at is
404 00:41:25.510 ⇒ 00:41:30.860 Uttam Kumaran: when you go to their website and you go to Checkout. They ask you, are you a pool? Professional?
405 00:41:30.990 ⇒ 00:41:39.418 Uttam Kumaran: Not yes or no. But they, if the questions really shitty the way I’ve ever worded. But in some way did people self identify as pro or not.
406 00:41:40.010 ⇒ 00:41:44.875 Uttam Kumaran: And we found that a lot of people self identified as pro. However,
407 00:41:45.300 ⇒ 00:41:51.649 Uttam Kumaran: we got a lot of pushback from the client, basically saying that like, I think people are either just confused, or maybe they’re trying to go for discounts.
408 00:41:51.800 ⇒ 00:41:53.690 Uttam Kumaran: or they’re not really a professional.
409 00:41:53.970 ⇒ 00:41:58.350 Uttam Kumaran: So the last thing we did is we basically wanted to find what is a buying pattern
410 00:41:58.480 ⇒ 00:42:01.089 Uttam Kumaran: that gives us more confidence. And we found that
411 00:42:01.170 ⇒ 00:42:03.589 Uttam Kumaran: if people order more than twice
412 00:42:03.830 ⇒ 00:42:05.000 Uttam Kumaran: in a
413 00:42:05.130 ⇒ 00:42:13.339 Uttam Kumaran: in a year, they’re really likely to be a professional, because people for the most part, all these, all their customers are one and done meaning they never come back.
414 00:42:14.101 ⇒ 00:42:18.799 Uttam Kumaran: The second thing is, if they come back at all, and they come back within the same year.
415 00:42:18.890 ⇒ 00:42:25.141 Uttam Kumaran: It’s not typically because, like something’s broken, it’s most likely because,
416 00:42:25.920 ⇒ 00:42:33.890 Uttam Kumaran: they’re they’re professional. So they’re ordering multiple times. So what we did is we created some logic that basically looks at
417 00:42:34.890 ⇒ 00:42:38.769 Uttam Kumaran: I just wanna get the wording right? Cause we just like had a whole
418 00:42:39.200 ⇒ 00:42:42.689 Uttam Kumaran: like meeting on this, which is basically
419 00:42:50.815 ⇒ 00:42:52.450 Uttam Kumaran: we’re gonna do
420 00:42:52.560 ⇒ 00:42:58.170 Uttam Kumaran: based on like, did you self identify? And did you order
421 00:42:58.630 ⇒ 00:43:02.690 Uttam Kumaran: 2 or more in one in a single 365 day period.
422 00:43:03.250 ⇒ 00:43:04.310 Uttam Kumaran: Or
423 00:43:04.570 ⇒ 00:43:06.490 Uttam Kumaran: is your email have pool in it?
424 00:43:06.560 ⇒ 00:43:09.500 Uttam Kumaran: And that basically gave us this like,
425 00:43:10.843 ⇒ 00:43:15.920 Uttam Kumaran: we have a flag here that’s like, is pool pro derived.
426 00:43:15.960 ⇒ 00:43:19.760 Uttam Kumaran: And you can see that like, there’s only a 1,600 customers that fit
427 00:43:20.040 ⇒ 00:43:23.599 Uttam Kumaran: that criteria. So 2 plus.
428 00:43:23.630 ⇒ 00:43:24.780 Uttam Kumaran: and
429 00:43:25.250 ⇒ 00:43:32.000 Uttam Kumaran: they self identified, or their email as pool, or some variety of keywords that we look for.
430 00:43:32.000 ⇒ 00:43:33.489 Bryce Codell: Yeah, yeah, and.
431 00:43:33.490 ⇒ 00:43:44.640 Uttam Kumaran: And then what we found is like those people they spend double. They come back more often, of course, and this the last thing is that it’s so low meaning there’s like a fat opportunity, because
432 00:43:45.044 ⇒ 00:43:57.719 Uttam Kumaran: there’s a fat opportunity in that. There’s an opportunity to re-engage the folks who already know our professionals and to go after new. So that’s what we’re working on with marketing now is basically saying we need 2 work streams, one go after
433 00:43:58.320 ⇒ 00:44:13.990 Uttam Kumaran: go after like customers that exist in the marketplace that just don’t know us, and like, what, how do we portray? Do we do they need special pricing? There’s a whole, some bunch of shit there. The second thing is re-engaging this existing base through direct mail or
434 00:44:14.100 ⇒ 00:44:23.640 Uttam Kumaran: email or something like that. So that’s like the customer segmentation stuff that we’re we’re starting on now. There’s probably a 3rd category which is like people in the middle
435 00:44:25.140 ⇒ 00:44:28.400 Uttam Kumaran: which is like probably like handyman or something like that.
436 00:44:28.560 ⇒ 00:44:37.511 Uttam Kumaran: I I basically just know how like, I don’t want to get stuck in the Kpi definition, hell, so I basically was like, let’s start with 2. Let’s make it as
437 00:44:38.350 ⇒ 00:44:41.300 Uttam Kumaran: scrutinizing as possible and like conservative as possible.
438 00:44:41.370 ⇒ 00:44:42.930 Uttam Kumaran: And then basically
439 00:44:43.560 ⇒ 00:44:50.290 Uttam Kumaran: try to just do the segmentation so we can take some, make some decisions on it. This is their 1st time they’ve ever segmented customers in this way.
440 00:44:51.099 ⇒ 00:44:53.699 Uttam Kumaran: So for us, it’s a big win, because, like
441 00:44:53.860 ⇒ 00:45:14.950 Uttam Kumaran: these, customers are clearly different, and they need to be marketed to different. They’re buying patterns are different, but also as a for brain forge. We are now going to be able to measure how we affected their revenue growth. So we spent a lot of time in the over the year focusing on lowering their cost. And now we’re going to be kind of affecting like their growth. And so
442 00:45:15.040 ⇒ 00:45:23.490 Uttam Kumaran: we’ll be able to see how this changes over time, basically using our definitions like our people coming back more often, our pros coming. You know, things like that. So.
443 00:45:23.490 ⇒ 00:45:26.820 Bryce Codell: Yeah, are more people becoming pros? Then, yeah.
444 00:45:26.820 ⇒ 00:45:28.299 Uttam Kumaran: That’s it, too. Yeah.
445 00:45:28.800 ⇒ 00:45:29.165 Bryce Codell: Yeah.
446 00:45:30.286 ⇒ 00:45:34.549 Bryce Codell: yeah, this is awesome. I mean, like, this is like
447 00:45:35.470 ⇒ 00:45:42.040 Bryce Codell: real data science, like, I know, people talking about the like, oh, yeah, I gotta use my like clustering algorithms.
448 00:45:42.040 ⇒ 00:45:45.830 Uttam Kumaran: No, no, no, this. It’s just like, yeah. Dude, this is so like.
449 00:45:46.010 ⇒ 00:45:47.679 Bryce Codell: This is. This is like
450 00:45:47.830 ⇒ 00:45:50.060 Bryce Codell: the actually meaningful stuff, like we don’t.
451 00:45:50.060 ⇒ 00:45:51.818 Uttam Kumaran: This is it? And and
452 00:45:52.320 ⇒ 00:46:01.100 Uttam Kumaran: the the good part is like me, and you can talk, and we can go. Do shit for them. The the problem is, they need
453 00:46:01.140 ⇒ 00:46:05.040 Uttam Kumaran: recommendations they don’t need like. Here’s a table.
454 00:46:05.990 ⇒ 00:46:08.270 Uttam Kumaran: So this there in that way. It’s a little bit of a
455 00:46:08.310 ⇒ 00:46:11.430 Uttam Kumaran: different customer, sometimes tough, sometimes helpful.
456 00:46:13.470 ⇒ 00:46:14.390 Uttam Kumaran: so.
457 00:46:14.390 ⇒ 00:46:15.659 Bryce Codell: It’s exactly what I’m looking for.
458 00:46:15.660 ⇒ 00:46:35.069 Uttam Kumaran: You have. You have to take it the distance to show value like I can’t just stop with end of the table and be like cool. We have all this dimensionality. Take it instead, act to go, not only create the segments, and then, honestly, I have to go talk to marketing, but here’s how you use it. So in that sense our job is a little bit beyond what we are used to as data folks. However.
459 00:46:35.140 ⇒ 00:46:38.610 Uttam Kumaran: like I don’t give a fuck like this is, I think we can. Actually.
460 00:46:38.690 ⇒ 00:46:43.219 Uttam Kumaran: if we’re closer to actually affecting the metric, then I’m happy because I think we can actually affect the metric.
461 00:46:43.220 ⇒ 00:46:48.110 Bryce Codell: Yeah, for sure. So that’s your cape that’s like the high level Kpi dashboard that you’ve built for them. Do you also.
462 00:46:49.160 ⇒ 00:46:52.960 Bryce Codell: Use case specific content? Or am I misunderstanding that.
463 00:46:52.960 ⇒ 00:46:56.689 Uttam Kumaran: So so that was just for customer shopify customers. We have
464 00:46:56.860 ⇒ 00:47:00.570 Uttam Kumaran: stuff, we have dash. We have like a real dashboard on all orders.
465 00:47:00.620 ⇒ 00:47:09.059 Uttam Kumaran: Kpis tickets order items, so I’ll share that with you as well. Let me just put that here, cause then that’ll be if you use real
466 00:47:09.410 ⇒ 00:47:14.460 Uttam Kumaran: and you click around, you’ll get a The, you’ll basically understand their their business from the data side.
467 00:47:15.350 ⇒ 00:47:18.410 Uttam Kumaran: It may be a little bit tougher to get the exact definitions, but
468 00:47:20.140 ⇒ 00:47:23.030 Uttam Kumaran: I’m just gonna put down to give you real
469 00:47:39.864 ⇒ 00:47:48.860 Uttam Kumaran: I guess I just want to talk a little bit about. So there’s I’ll leave you kind of with that, and then I’ll give you access to that data so you can kind of poke around and then now you also have.
470 00:47:49.310 ⇒ 00:47:52.000 Uttam Kumaran: I’ll give you access. I have to give you snowflake
471 00:47:54.180 ⇒ 00:47:56.014 Uttam Kumaran: and I have to give you
472 00:47:59.020 ⇒ 00:48:02.760 Uttam Kumaran: well, you and you have real snowflake, and you you already have a
473 00:48:03.130 ⇒ 00:48:06.019 Uttam Kumaran: the repo. So basically, you’ll be able to. Now see.
474 00:48:07.080 ⇒ 00:48:08.369 Uttam Kumaran: you see everything.
475 00:48:08.370 ⇒ 00:48:09.090 Bryce Codell: And
476 00:48:09.610 ⇒ 00:48:10.490 Bryce Codell: yeah.
477 00:48:11.350 ⇒ 00:48:14.739 Uttam Kumaran: The for for Stella. So the other client
478 00:48:14.910 ⇒ 00:48:16.980 Uttam Kumaran: we are only
479 00:48:18.360 ⇒ 00:48:19.790 Uttam Kumaran: handling.
480 00:48:22.710 ⇒ 00:48:24.709 Uttam Kumaran: modeling for now.
481 00:48:25.750 ⇒ 00:48:31.089 Uttam Kumaran: In that. This is where there’s probably some opportunity to be like, oh, to show off and get some
482 00:48:31.500 ⇒ 00:48:35.597 Uttam Kumaran: way into the analysis portion, basically.
483 00:48:36.930 ⇒ 00:48:39.360 Uttam Kumaran: the stuff we’re doing for them or Zendesk
484 00:48:39.380 ⇒ 00:48:40.500 Uttam Kumaran: tickets.
485 00:48:41.225 ⇒ 00:48:43.750 Uttam Kumaran: They’re like actual product analytics.
486 00:48:45.547 ⇒ 00:48:47.070 Uttam Kumaran: And then Hubspot.
487 00:48:48.480 ⇒ 00:48:49.790 Uttam Kumaran: customer.
488 00:48:50.720 ⇒ 00:48:52.579 Uttam Kumaran: Crm related shit
489 00:48:52.750 ⇒ 00:48:56.449 Uttam Kumaran: so like, probably linking the customers to the product analytics.
490 00:48:56.760 ⇒ 00:49:01.690 Uttam Kumaran: and then like being able to show like which customers are using the software. More things like that.
491 00:49:02.110 ⇒ 00:49:02.780 Bryce Codell: Yeah.
492 00:49:05.390 ⇒ 00:49:08.319 Uttam Kumaran: This is all also like dbt.
493 00:49:08.370 ⇒ 00:49:09.620 Uttam Kumaran: snowflake.
494 00:49:11.510 ⇒ 00:49:14.789 Uttam Kumaran: I’m today probably gonna set up real internally.
495 00:49:14.790 ⇒ 00:49:15.480 Bryce Codell: Urgent.
496 00:49:15.480 ⇒ 00:49:23.140 Uttam Kumaran: You have it because they’re they’re using metabase. And like another play is basically to get them on real.
497 00:49:23.350 ⇒ 00:49:26.250 Uttam Kumaran: It’s nice thing is we can set up real for every client, for free
498 00:49:27.750 ⇒ 00:49:30.610 Uttam Kumaran: and like the real guys, don’t care.
499 00:49:30.770 ⇒ 00:49:33.389 Uttam Kumaran: And so that’s perfect.
500 00:49:33.817 ⇒ 00:49:39.552 Uttam Kumaran: But here’s where there’s an opportunity where the the data models are very, very simple here.
501 00:49:40.710 ⇒ 00:49:42.630 Uttam Kumaran: The and everything is like.
502 00:49:43.150 ⇒ 00:49:48.499 Uttam Kumaran: I would say, our pool part stuff is tough, because I made a lot of like
503 00:49:49.060 ⇒ 00:49:57.689 Uttam Kumaran: like shitty decisions because I was running fast. And I didn’t know how big this is. Gonna get now that we’re like we’re really in depth with them. We’re going back and like
504 00:49:58.010 ⇒ 00:49:59.949 Uttam Kumaran: cleaning up snowflake and a lot of stuff.
505 00:50:00.090 ⇒ 00:50:02.120 Uttam Kumaran: Stella is really, really clean.
506 00:50:02.120 ⇒ 00:50:02.780 Bryce Codell: Deep.
507 00:50:02.780 ⇒ 00:50:07.379 Uttam Kumaran: Super clean snowflake is pretty clean. There’s only a couple of things going on.
508 00:50:07.560 ⇒ 00:50:10.320 Uttam Kumaran: We are subcontracting through
509 00:50:10.970 ⇒ 00:50:14.706 Uttam Kumaran: a friend of mine who is an analyst for them.
510 00:50:15.080 ⇒ 00:50:15.890 Bryce Codell: Ella.
511 00:50:16.120 ⇒ 00:50:18.630 Uttam Kumaran: At Stell. He’s not at Stella. He’s a contractor, too.
512 00:50:18.630 ⇒ 00:50:19.660 Bryce Codell: Right, yeah, yeah.
513 00:50:20.035 ⇒ 00:50:26.820 Uttam Kumaran: But he’s basically owning all the analysis. And he’s the through line to the client like we don’t directly interact with the client.
514 00:50:28.560 ⇒ 00:50:29.840 Uttam Kumaran: However.
515 00:50:30.540 ⇒ 00:50:36.100 Uttam Kumaran: there is a he is a data person, and so there’s probably an opportunity to show him interesting stuff and be like
516 00:50:37.040 ⇒ 00:50:41.519 Uttam Kumaran: like you should be using this paradigm, and like we can help you on the analysis side.
517 00:50:42.800 ⇒ 00:50:48.459 Uttam Kumaran: there’s probably even a way for us to to. Then, Con. If we can, Ex continued. If we can
518 00:50:48.580 ⇒ 00:50:58.649 Uttam Kumaran: deliver more on the analysis side and help him, he might even be able to again say, Okay, we’ll want to bring Bryce on as an additional analyst resource cause we’ve been outputting so much.
519 00:50:59.020 ⇒ 00:51:01.549 Uttam Kumaran: There’s yeah. There’s opportunity there.
520 00:51:01.550 ⇒ 00:51:02.115 Bryce Codell: Sense
521 00:51:02.680 ⇒ 00:51:05.493 Uttam Kumaran: He’s like a he’s like he’s like a close friend of mine. And
522 00:51:06.310 ⇒ 00:51:07.120 Uttam Kumaran: yeah.
523 00:51:07.300 ⇒ 00:51:08.590 Bryce Codell: Who is this person? If you don’t mind.
524 00:51:08.947 ⇒ 00:51:16.810 Uttam Kumaran: I don’t know if you he’s he. Clint introduced me to him. His name’s Robert. From a company called Puno Insights.
525 00:51:17.359 ⇒ 00:51:19.949 Uttam Kumaran: He just he basically has like a
526 00:51:20.230 ⇒ 00:51:25.110 Uttam Kumaran: brain forge kind of company just does like analysis work. It’s like him. And like one or 2 other people.
527 00:51:25.910 ⇒ 00:51:28.519 Uttam Kumaran: We’ve been working close in that we’re trying to sell
528 00:51:28.700 ⇒ 00:51:31.590 Uttam Kumaran: more stellas and things like that together.
529 00:51:32.140 ⇒ 00:51:32.999 Uttam Kumaran: So like
530 00:51:33.560 ⇒ 00:51:36.910 Uttam Kumaran: I just have. He brought me on to Stella, cause he’s like
531 00:51:36.960 ⇒ 00:51:39.380 Uttam Kumaran: we don’t. He doesn’t know how to do this data and stuff.
532 00:51:40.020 ⇒ 00:51:53.479 Uttam Kumaran: I think it’s like he doesn’t have any understanding really of like Dbt and the modeling world. So we can basically move to your thing, probably pretty simply, Nick. There’s a guy named Nick Baker who’s working on Stella.
533 00:51:53.480 ⇒ 00:51:55.159 Bryce Codell: That name sounds very familiar.
534 00:51:55.160 ⇒ 00:51:57.429 Uttam Kumaran: Nick Baker works at Spotify. He’s.
535 00:51:57.430 ⇒ 00:51:57.940 Bryce Codell: Oh!
536 00:51:58.460 ⇒ 00:51:59.500 Uttam Kumaran: It’s expensive.
537 00:52:00.020 ⇒ 00:52:01.460 Bryce Codell: Think I’ve met him before.
538 00:52:01.460 ⇒ 00:52:02.160 Uttam Kumaran: Again.
539 00:52:02.160 ⇒ 00:52:02.840 Bryce Codell: Last one year.
540 00:52:02.840 ⇒ 00:52:04.077 Uttam Kumaran: Like super cool.
541 00:52:04.740 ⇒ 00:52:07.709 Uttam Kumaran: so he’s he’s basically running that
542 00:52:08.010 ⇒ 00:52:09.110 Uttam Kumaran: whole thing.
543 00:52:12.380 ⇒ 00:52:13.290 Uttam Kumaran: so.
544 00:52:13.290 ⇒ 00:52:14.075 Bryce Codell: Thick.
545 00:52:15.030 ⇒ 00:52:18.701 Bryce Codell: So alright couple of questions for you. So
546 00:52:19.220 ⇒ 00:52:21.980 Bryce Codell: what is the etiquette
547 00:52:22.040 ⇒ 00:52:24.160 Bryce Codell: on like
548 00:52:25.140 ⇒ 00:52:29.799 Bryce Codell: snowflake? Compute and storage costs for dev work?
549 00:52:31.560 ⇒ 00:52:41.740 Uttam Kumaran: Yeah, I, it’s on our backlog to kind of like, create something for basic cost management. At the moment, it’s like, we’re we’re nobody except for the jobs.
550 00:52:42.170 ⇒ 00:52:45.553 Uttam Kumaran: It’s not like a ton that’s going on.
551 00:52:47.630 ⇒ 00:52:54.920 Uttam Kumaran: so I can also provide you with access to our internal instance. But of course, the client data, isn’t there? So
552 00:52:55.290 ⇒ 00:52:59.069 Uttam Kumaran: on the client instances I don’t know. It kind of depends on like how much
553 00:53:00.540 ⇒ 00:53:02.830 Uttam Kumaran: like how like, how much.
554 00:53:03.380 ⇒ 00:53:04.749 Uttam Kumaran: how much money.
555 00:53:05.144 ⇒ 00:53:09.980 Uttam Kumaran: It’s like a if it’s like a meaningless amount of money that doesn’t matter. Nobody’s gonna care.
556 00:53:09.980 ⇒ 00:53:11.480 Bryce Codell: Yeah, well, so
557 00:53:12.500 ⇒ 00:53:35.363 Bryce Codell: alright, I’ll I’ll like, share my thinking with a little more clarity. So if I want to build event level data, then oftentimes what I find that I need to to do, especially when working with data sources that are, say, migrated from 5 trend is, I need to slap some snapshots on top of them. In order to capture like dimension change like dimension value changes and stuff.
558 00:53:36.020 ⇒ 00:53:37.120 Bryce Codell: I can
559 00:53:37.150 ⇒ 00:53:45.119 Bryce Codell: get away with like running. A single instance of snapshots is like a 1 time thing, so that I have, like a local.
560 00:53:45.120 ⇒ 00:53:45.890 Uttam Kumaran: Yeah, I have.
561 00:53:45.890 ⇒ 00:53:48.410 Bryce Codell: Like a dev instance of the table to reference.
562 00:53:48.950 ⇒ 00:54:02.160 Bryce Codell: As I’m like going through these proofs of concept and like trying to keep costs like as a way it means to keep costs low, like I have ambitions of like building a
563 00:54:02.210 ⇒ 00:54:30.100 Bryce Codell: like some form of a caching layer that pull like just like pulls event data into like a separate environment, so that the like duck Tb can run on top of it. But like in the immediate term, like I have to balance like that, like nice to have with the more pressing pressing must have of like getting some early analysis output in place. And so in that scenario, like
564 00:54:30.250 ⇒ 00:54:41.670 Bryce Codell: like, given the those trade offs, it’s probably in like, in order to move appropriately fast. It probably isn’t my best interest to like hit Snowflake every now and again to pull it. The data that I need to work with, but.
565 00:54:42.180 ⇒ 00:54:48.580 Uttam Kumaran: I don’t think I mean I don’t like. I don’t even know. I think we’re probably spending less than 500 bucks
566 00:54:49.040 ⇒ 00:54:55.200 Uttam Kumaran: on stuff, for like I can even look at pool parts right now, like I don’t even know how much we’re spending, but it’s.
567 00:54:55.420 ⇒ 00:54:57.129 Bryce Codell: Are you put like.
568 00:54:57.500 ⇒ 00:55:03.489 Bryce Codell: or do you manage their account? And then you get the bill, and then you just put that as a line item on there.
569 00:55:03.490 ⇒ 00:55:07.990 Uttam Kumaran: No, their their card is on it. I didn’t. I just didn’t
570 00:55:08.060 ⇒ 00:55:13.900 Uttam Kumaran: like. I just didn’t want to deal with that. Guys told me to do that. I’m like.
571 00:55:14.800 ⇒ 00:55:21.750 Uttam Kumaran: I don’t know. These guys aren’t. We’re not spending a lot dude like like, for example, let’s let me just look at like
572 00:55:22.170 ⇒ 00:55:26.259 Uttam Kumaran: in the last 3 months we spent 500 600 bucks.
573 00:55:26.260 ⇒ 00:55:26.710 Bryce Codell: Okay.
574 00:55:28.870 ⇒ 00:55:32.949 Uttam Kumaran: Honestly, I probably can like reduce that if we just run stuff like.
575 00:55:33.330 ⇒ 00:55:34.350 Uttam Kumaran: So
576 00:55:34.680 ⇒ 00:55:39.310 Uttam Kumaran: it’s not that much meaning like, yeah, just keep keep an eye on it, or.
577 00:55:39.620 ⇒ 00:55:40.870 Uttam Kumaran: Yeah.
578 00:55:42.120 ⇒ 00:55:42.845 Bryce Codell: Yeah,
579 00:55:43.570 ⇒ 00:55:44.380 Uttam Kumaran: Anyway.
580 00:55:44.570 ⇒ 00:55:52.005 Bryce Codell: Gotcha, and then, like I’ll spin up my own like local, like my own personal development branch and my local machine
581 00:55:52.770 ⇒ 00:55:56.500 Bryce Codell: is there? How like, how often do you run like
582 00:55:57.297 ⇒ 00:56:01.069 Bryce Codell: like run like, how often does your data pipeline run.
583 00:56:01.400 ⇒ 00:56:05.189 Uttam Kumaran: Everything runs every day at least once a day.
584 00:56:05.340 ⇒ 00:56:07.270 Uttam Kumaran: at most like 3 times a day.
585 00:56:07.568 ⇒ 00:56:13.540 Bryce Codell: For data that’s getting synced by a 3rd party tool like 5 trend. How often is that data getting replicated.
586 00:56:14.280 ⇒ 00:56:15.290 Uttam Kumaran: Every day.
587 00:56:15.450 ⇒ 00:56:24.830 Bryce Codell: Gotcha, are you doing using any of the like property history tables from 5 trend and like Hubspot, for example, are you just taking like the base, like company.
588 00:56:24.830 ⇒ 00:56:33.009 Uttam Kumaran: So for pool parts we have, like a lot of ownership for Stella. I have. We have less ownership on, like the setup.
589 00:56:33.500 ⇒ 00:56:38.572 Uttam Kumaran: Maybe it may be like a question for Robert on
590 00:56:39.310 ⇒ 00:56:41.333 Uttam Kumaran: same thing on snowflake.
591 00:56:42.400 ⇒ 00:56:43.530 Uttam Kumaran: so
592 00:56:44.315 ⇒ 00:56:52.530 Uttam Kumaran: yeah, I mean, I think, like, I think pool parts is probably the better place to start, unless until we have, like a good plan, because
593 00:56:53.990 ⇒ 00:57:01.829 Uttam Kumaran: for Stella, because both parts we have like full basic ownership. But we’re not doing. We’re not. We’re not really doing any sort of incremental
594 00:57:03.330 ⇒ 00:57:05.900 Uttam Kumaran: stuff there. Any sort of snapshots or.
595 00:57:05.900 ⇒ 00:57:06.530 Bryce Codell: Yeah. Him.
596 00:57:06.530 ⇒ 00:57:08.830 Uttam Kumaran: It’s basically all straight connectors.
597 00:57:08.830 ⇒ 00:57:21.210 Bryce Codell: Yeah, yeah, that makes sense alright cool. So my game plan for my proofs of concept is I’ll probably spin up some very bare bones, definitions of like key business events that
598 00:57:21.360 ⇒ 00:57:26.940 Bryce Codell: would factor into like relevant analyses of interest and then
599 00:57:27.620 ⇒ 00:57:34.478 Bryce Codell: focus more on the analysis output. And then, if there’s like there’s some compelling stories to be told
600 00:57:35.665 ⇒ 00:57:54.804 Bryce Codell: then we I’ll we can start to think about like how this would look in the actual, how this should fit into the actual data pipeline cause I don’t wanna just start like like I can build these event models, and I can sure it will be trivial for me to like, move forward with like pushing them and like opening up Prs and asking for reviews and getting them into production.
601 00:57:55.350 ⇒ 00:57:57.850 Bryce Codell: I don’t wanna just start needlessly jacking up
602 00:57:58.110 ⇒ 00:57:59.390 Bryce Codell: compute costs for.
603 00:57:59.390 ⇒ 00:58:00.030 Uttam Kumaran: Yeah.
604 00:58:00.030 ⇒ 00:58:02.020 Bryce Codell: Where there’s a relevant
605 00:58:02.190 ⇒ 00:58:06.030 Bryce Codell: proof of concept in place to support that approach to data modeling.
606 00:58:06.210 ⇒ 00:58:07.270 Uttam Kumaran: Yeah, and
607 00:58:08.000 ⇒ 00:58:11.199 Uttam Kumaran: for Stella. I may have to get you a
608 00:58:12.260 ⇒ 00:58:16.600 Uttam Kumaran: a user created. I’ll have to talk to Robert about that.
609 00:58:17.920 ⇒ 00:58:19.699 Uttam Kumaran: so it might take me like a week.
610 00:58:19.730 ⇒ 00:58:22.500 Uttam Kumaran: We have service accounts that you can use.
611 00:58:23.180 ⇒ 00:58:24.790 Uttam Kumaran: Maybe I just give you that.
612 00:58:26.060 ⇒ 00:58:27.489 Bryce Codell: Yeah, whatever you think is best.
613 00:58:27.710 ⇒ 00:58:28.370 Uttam Kumaran: Okay.
614 00:58:29.060 ⇒ 00:58:29.840 Bryce Codell: And
615 00:58:30.550 ⇒ 00:58:31.410 Bryce Codell: but
616 00:58:31.820 ⇒ 00:58:33.520 Bryce Codell: yeah, that is cool. So.
617 00:58:33.520 ⇒ 00:58:39.509 Uttam Kumaran: Whatever ideas you have, and I’ll I’ll give you real, and I’ll give you snowflakes for pool part. So you better poke around.
618 00:58:40.219 ⇒ 00:58:43.089 Uttam Kumaran: And then throw whatever ideas you have in here.
619 00:58:43.090 ⇒ 00:58:43.810 Bryce Codell: Ghana.
620 00:58:43.810 ⇒ 00:58:45.220 Uttam Kumaran: And we can go from there.
621 00:58:45.220 ⇒ 00:58:49.429 Bryce Codell: Yeah, how? How often is 5. Trans syncing for pool parts.
622 00:58:49.430 ⇒ 00:58:50.340 Uttam Kumaran: Every day.
623 00:58:50.670 ⇒ 00:58:51.959 Bryce Codell: What? Just once a day.
624 00:58:52.570 ⇒ 00:58:56.260 Uttam Kumaran: For? Yeah, for the most part, because these guys aren’t looking at anything intraday.
625 00:58:56.260 ⇒ 00:58:57.870 Bryce Codell: Okay, yeah.
626 00:58:58.260 ⇒ 00:59:00.277 Bryce Codell: yeah, that’s fair.
627 00:59:01.250 ⇒ 00:59:12.819 Bryce Codell: cool. So is that most of the like, I saw that you have, like some time series stuff like you’ve got like your metrics over time. For most of the segmentation that you’re doing. Are you just looking at like
628 00:59:13.060 ⇒ 00:59:17.460 Bryce Codell: current state value? So if, like a customer changes attributes, or like.
629 00:59:17.460 ⇒ 00:59:23.580 Uttam Kumaran: Yeah, we’re not looking at any change. Yeah, we’re not looking at any phase changes or anything. Basically.
630 00:59:23.580 ⇒ 00:59:25.900 Bryce Codell: Yeah, yeah, that is totally fair.
631 00:59:25.900 ⇒ 00:59:31.889 Uttam Kumaran: In that way. It’s really simple. We’re not looking at, churned or like reactivated. We don’t have like
632 00:59:31.980 ⇒ 00:59:33.380 Uttam Kumaran: that much logic.
633 00:59:33.920 ⇒ 00:59:35.699 Uttam Kumaran: All basic time series stuff.
634 00:59:35.700 ⇒ 00:59:43.959 Bryce Codell: Yeah. Yeah. So like, if a customer like moved addresses, for example, like, if they’ve moved from one state to another state, but they remain.
635 00:59:44.430 ⇒ 00:59:45.710 Uttam Kumaran: We have no idea.
636 00:59:45.710 ⇒ 00:59:53.750 Bryce Codell: Okay, yeah, yeah. And so like, if you were reporting by like region and a custom move a customer, a pull parts customer moved.
637 00:59:53.750 ⇒ 00:59:55.270 Uttam Kumaran: Historicals. Yeah, I would move.
638 00:59:55.270 ⇒ 00:59:57.652 Bryce Codell: Yeah, which? Okay? And they’re okay with that.
639 00:59:59.310 ⇒ 01:00:04.269 Uttam Kumaran: Just I find a time. Explain that to them. They’d probably be like, what do you.
640 01:00:04.270 ⇒ 01:00:05.339 Bryce Codell: What the fuck are you talking about?
641 01:00:05.340 ⇒ 01:00:07.380 Uttam Kumaran: Well, like they’d be like, okay. So.
642 01:00:07.640 ⇒ 01:00:08.280 Bryce Codell: Yeah.
643 01:00:08.280 ⇒ 01:00:11.739 Uttam Kumaran: It’s just a, it’s just not a can of worms. I open because the impact when
644 01:00:12.190 ⇒ 01:00:23.920 Uttam Kumaran: yeah, it’s probably it. The priority was like, well, how much do we sell tomorrow? So we sell today? Versus, oh, yeah, like, they’re not. Then they they’re not strict on like reporting or anything. So.
645 01:00:23.920 ⇒ 01:00:28.199 Bryce Codell: Yeah, okay, that’s help. That’s helpful to know. Cause that also gives me a sense of like.
646 01:00:28.400 ⇒ 01:00:36.490 Bryce Codell: how important it is to get all of the nuances exact like, and semantics exactly right in these like event. In these event, definitions like.
647 01:00:36.500 ⇒ 01:00:38.449 Bryce Codell: I can just treat like
648 01:00:38.580 ⇒ 01:00:39.280 Bryce Codell: like
649 01:00:39.610 ⇒ 01:00:54.483 Bryce Codell: giving some insight into how this works like stuff like customer region, would be like actual like properties that I would specify as like to like the like customer created account, or like created profile,
650 01:00:55.590 ⇒ 01:01:00.250 Bryce Codell: event. And so like, there’s some people who care about like
651 01:01:00.570 ⇒ 01:01:08.129 Bryce Codell: customer customer user mobility. And so that would warrant a dedicated event for tracking like when.
652 01:01:08.130 ⇒ 01:01:08.780 Uttam Kumaran: Yeah.
653 01:01:08.780 ⇒ 01:01:16.829 Bryce Codell: And changes. But I can treat this as like. This is just like always been their location, and we know it on this one event, and that’s what that’s all that we care about.
654 01:01:16.830 ⇒ 01:01:17.480 Uttam Kumaran: Yeah.
655 01:01:18.460 ⇒ 01:01:20.157 Bryce Codell: Yeah. Okay, sweet,
656 01:01:21.290 ⇒ 01:01:30.440 Uttam Kumaran: It’s just to start. So let’s slack me about it. I have to jump to another thing. But then we didn’t talk about like future stuff or or future clients. But maybe we can.
657 01:01:30.540 ⇒ 01:01:36.220 Uttam Kumaran: We can keep talking about that next week about like setting up example. Cause I think that may be
658 01:01:36.500 ⇒ 01:01:41.459 Uttam Kumaran: a little bit easier, or at least something we should. We could probably, and you could tackle in parallel, which is like
659 01:01:41.750 ⇒ 01:01:43.499 Uttam Kumaran: setting up the fake ones.
660 01:01:43.500 ⇒ 01:01:50.019 Bryce Codell: Yeah, yeah, that sounds good. Okay, do you? Wanna do let me double check my calendar. But do you wanna try to do this time again next week?
661 01:01:50.020 ⇒ 01:01:50.620 Uttam Kumaran: Yes.
662 01:01:50.620 ⇒ 01:01:51.220 Bryce Codell: To, the.
663 01:01:51.220 ⇒ 01:01:52.010 Uttam Kumaran: A.
664 01:01:52.970 ⇒ 01:01:56.019 Uttam Kumaran: I will send you this. I think I may be
665 01:01:56.350 ⇒ 01:01:59.479 Uttam Kumaran: booked 2 to 4 Central next week.
666 01:01:59.920 ⇒ 01:02:01.550 Uttam Kumaran: So maybe I do.
667 01:02:04.240 ⇒ 01:02:07.469 Uttam Kumaran: Yeah, let me. Let me let me slack you about it.
668 01:02:07.470 ⇒ 01:02:08.677 Bryce Codell: Okay. Sounds good.
669 01:02:09.440 ⇒ 01:02:10.569 Bryce Codell: Alright, I think.
670 01:02:10.570 ⇒ 01:02:11.267 Uttam Kumaran: Good, catching up.
671 01:02:11.500 ⇒ 01:02:13.639 Bryce Codell: Yeah. Talk to you soon. Bye.