Meeting Title: Daily-Brainforge-Standup Date: 2024-05-09 Meeting participants: Uttam Kumaran, Agustin, Jakob Kagel, Patrick Trainer, Ryan Luke Daque
WEBVTT
1 00:00:57.170 ⇒ 00:00:58.330 Ryan Luke Daque: Hello! Hello!
2 00:00:58.330 ⇒ 00:00:59.390 Jakob Kagel: Hey? How’s it going.
3 00:01:00.060 ⇒ 00:01:01.679 Ryan Luke Daque: Doing? Well, how are you guys.
4 00:01:03.170 ⇒ 00:01:05.290 Jakob Kagel: Doing well, doing well.
5 00:01:06.330 ⇒ 00:01:07.090 Patrick Trainer: Yo.
6 00:01:09.860 ⇒ 00:01:11.170 Jakob Kagel: What’s up? How are you?
7 00:01:11.940 ⇒ 00:01:14.580 Patrick Trainer: Not too bad, went and got some.
8 00:01:14.620 ⇒ 00:01:16.050 Patrick Trainer: picked up some food.
9 00:01:16.610 ⇒ 00:01:18.070 Jakob Kagel: Oh, nice! What do you get.
10 00:01:18.070 ⇒ 00:01:31.450 Patrick Trainer: I got there’s a new like kind of like breakfast brunch place that opened up down the street. Got a big Teresa breakfast burrito, with like avocado and pico, and all that good stuff.
11 00:01:31.700 ⇒ 00:01:34.948 Jakob Kagel: Are you in? You’re in New Orleans, or am I making that up? Okay.
12 00:01:35.180 ⇒ 00:01:35.900 Patrick Trainer: Silence. Yeah.
13 00:01:35.900 ⇒ 00:01:37.270 Jakob Kagel: Okay, okay, okay.
14 00:01:37.660 ⇒ 00:01:38.839 Jakob Kagel: this is the.
15 00:01:39.040 ⇒ 00:01:40.420 Jakob Kagel: So do you want me to.
16 00:01:40.420 ⇒ 00:01:43.519 Patrick Trainer: We’ve got a pretty good selection of food. Yeah, that’s for sure.
17 00:01:43.520 ⇒ 00:01:59.800 Jakob Kagel: I love Louisiana food magazine drive like from like I’m from Georgia originally, and like when I moved to Texas like I was, I had remote job, and I still do. But I used to drive back to Georgia sometimes, just so I could have my car like cause I would go.
18 00:01:59.800 ⇒ 00:02:00.519 Patrick Trainer: Probably a couple.
19 00:02:00.520 ⇒ 00:02:01.560 Jakob Kagel: So whatnot.
20 00:02:01.590 ⇒ 00:02:05.989 Jakob Kagel: And like, yeah, man, I always gotta stop in Louisiana. I mean, it’s like halfway, too. So it’s like.
21 00:02:05.990 ⇒ 00:02:07.480 Patrick Trainer: Right, right.
22 00:02:07.480 ⇒ 00:02:09.175 Jakob Kagel: Alright, yeah. Louisiana.
23 00:02:09.740 ⇒ 00:02:13.089 Patrick Trainer: We’re we’re like in peak crawfish season, and.
24 00:02:13.090 ⇒ 00:02:13.700 Jakob Kagel: Oh, man!
25 00:02:13.700 ⇒ 00:02:14.870 Patrick Trainer: Yeah, we’re killing it.
26 00:02:14.870 ⇒ 00:02:17.715 Jakob Kagel: They got a lot of crawfish in Texas, though. Low cute like
27 00:02:18.190 ⇒ 00:02:18.490 Patrick Trainer: Yeah.
28 00:02:18.790 ⇒ 00:02:26.609 Jakob Kagel: Spots like in Austin that like we’ll have like free crawfish, like bars and stuff that have like do like massive crawfish bulls, and just give it away for free like on.
29 00:02:26.610 ⇒ 00:02:28.610 Patrick Trainer: Yeah, that’s all. That’s that’s awesome.
30 00:02:28.780 ⇒ 00:02:29.530 Jakob Kagel: Damn!
31 00:02:30.200 ⇒ 00:02:31.729 Patrick Trainer: Where where in Georgia.
32 00:02:32.660 ⇒ 00:02:33.910 Jakob Kagel: Athens. I wear the University.
33 00:02:33.910 ⇒ 00:02:35.159 Patrick Trainer: So George. Yes.
34 00:02:35.160 ⇒ 00:02:39.380 Jakob Kagel: That’s like where I’m already from. I used to live in Atlanta, too, but I’m from Athens.
35 00:02:39.540 ⇒ 00:02:42.270 Patrick Trainer: Okay, did you go to Uga?
36 00:02:42.550 ⇒ 00:02:43.770 Jakob Kagel: Go, dogs.
37 00:02:43.890 ⇒ 00:02:49.960 Jakob Kagel: for sure. There you go, and both my parents work for Georgia, and I have 2 degrees from Georgia. So.
38 00:02:49.960 ⇒ 00:02:50.820 Patrick Trainer: Yeah, okay.
39 00:02:50.820 ⇒ 00:02:51.200 Jakob Kagel: So.
40 00:02:51.200 ⇒ 00:02:56.370 Patrick Trainer: So, so I’m sure you appreciate when I sprinkle in the roll tide and in the.
41 00:02:58.000 ⇒ 00:02:59.222 Jakob Kagel: Don’t do it.
42 00:03:01.150 ⇒ 00:03:01.950 Uttam Kumaran: Night.
43 00:03:02.362 ⇒ 00:03:04.010 Jakob Kagel: No, it’s all good.
44 00:03:04.010 ⇒ 00:03:05.029 Patrick Trainer: That’s funny.
45 00:03:08.900 ⇒ 00:03:11.241 Uttam Kumaran: Cool. I think pretty
46 00:03:12.620 ⇒ 00:03:14.855 Uttam Kumaran: chill day today.
47 00:03:16.350 ⇒ 00:03:18.609 Uttam Kumaran: let me just pull stuff up
48 00:03:34.220 ⇒ 00:03:35.880 Uttam Kumaran: cool. So
49 00:03:36.030 ⇒ 00:03:36.850 Uttam Kumaran: guess we just.
50 00:03:36.850 ⇒ 00:03:37.460 Patrick Trainer: Go through.
51 00:03:39.200 ⇒ 00:03:46.410 Uttam Kumaran: stuff in progress. So I sent this email yesterday, Jacob, for scheduling that refunds meeting.
52 00:03:47.160 ⇒ 00:03:48.010 Jakob Kagel: Yeah.
53 00:03:50.090 ⇒ 00:03:52.210 Uttam Kumaran: This guy is also
54 00:03:52.640 ⇒ 00:03:56.089 Uttam Kumaran: done, so I’ll just kind of wait until this kind of gets closed out.
55 00:03:56.450 ⇒ 00:04:02.403 Jakob Kagel: Yeah, I mean, I I responded to him. He hasn’t responded yet. I can reach back out to him.
56 00:04:03.150 ⇒ 00:04:11.759 Jakob Kagel: I mean, it’s hard like, I’ll just go ahead and schedule the meeting. But the thing is like we don’t have visibility like into their calendar. Do we like? I don’t wanna schedule.
57 00:04:11.760 ⇒ 00:04:15.349 Uttam Kumaran: Yeah, I’m like he’s on the on the customer service side.
58 00:04:16.540 ⇒ 00:04:17.140 Jakob Kagel: Yeah, that’s.
59 00:04:17.140 ⇒ 00:04:19.120 Uttam Kumaran: Service side. So like
60 00:04:19.880 ⇒ 00:04:22.867 Uttam Kumaran: I assume he’s just like answering tickets all day.
61 00:04:23.200 ⇒ 00:04:26.709 Jakob Kagel: Yeah. So I was gonna let him pick the time, basically
62 00:04:27.950 ⇒ 00:04:32.390 Jakob Kagel: But if he doesn’t respond, I mean, I’ll make sure I’ll reach back out and just make sure, like, you know.
63 00:04:32.620 ⇒ 00:04:34.949 Jakob Kagel: we get some eyes like on our work.
64 00:04:35.470 ⇒ 00:04:35.990 Patrick Trainer: Oh!
65 00:04:37.571 ⇒ 00:04:40.988 Uttam Kumaran: Great. And then I guess if you wanna go on
66 00:04:42.190 ⇒ 00:04:43.150 Uttam Kumaran: the
67 00:04:43.380 ⇒ 00:04:46.519 Uttam Kumaran: the filters stuff and anything else you’re doing.
68 00:04:46.760 ⇒ 00:04:54.938 Jakob Kagel: Yeah, I mean, yesterday I mainly worked on like the refunds and returns analysis like adding in some additional views there, like the
69 00:04:56.070 ⇒ 00:05:21.653 Jakob Kagel: the distribution of like return days. So like how many like returns like we’re returned in one day, like all the way up to like, you know, 100 days. By looking at that. I added that I added the month over month, like returns, and like cost of returns for shopify and Amazon, both of those. And then also, like the product class, mix for, like Texas and Florida. Top, 2 States.
70 00:05:22.000 ⇒ 00:05:24.450 Jakob Kagel: so added those as well. I mean, it wasn’t
71 00:05:24.690 ⇒ 00:05:28.910 Jakob Kagel: that many sort of like unique.
72 00:05:29.240 ⇒ 00:05:37.292 Jakob Kagel: like orders or whatnot, or not enough to where I really thought it warranted going to the skew level? So I just kept it the product class level.
73 00:05:38.310 ⇒ 00:05:43.139 Jakob Kagel: and yeah, basically, that’s the main thing that I worked on yesterday. I mean, as far as like
74 00:05:43.210 ⇒ 00:05:58.470 Jakob Kagel: the shipping data like, or the like pulling the cohort for Kim, I mean, I gave her, like all the shopify ones, I mean. I can give her like what we have for Amazon. I don’t really know what to do. To be honest about like all these redacted addresses.
75 00:05:58.770 ⇒ 00:06:02.999 Uttam Kumaran: That’s all we got. I mean, like we can’t. We can’t get around really. So.
76 00:06:03.000 ⇒ 00:06:11.820 Jakob Kagel: I’m just gonna give her. I mean, I’ll just give her the ones that we do have for Amazon. I mean, it’s not even gonna make like a full 3,000, which is unfortunate. But
77 00:06:12.440 ⇒ 00:06:24.419 Jakob Kagel: yeah, I mean, I don’t know what we can really do if we can’t get like. If the if the addresses are redacted. And I mean, this is really only an issue for direct mail. I mean everything else like that we wanted targeting for like.
78 00:06:24.420 ⇒ 00:06:26.180 Uttam Kumaran: Like only an issue for Amazon.
79 00:06:26.490 ⇒ 00:06:27.330 Jakob Kagel: Right.
80 00:06:27.570 ⇒ 00:06:28.720 Jakob Kagel: So
81 00:06:29.040 ⇒ 00:06:40.810 Jakob Kagel: I don’t know if, like we should make like. I don’t know if there’s anything we can do, as far as even making like a recommendation about like getting the data in the future, like, I don’t know if they’ll even like even get that like.
82 00:06:40.810 ⇒ 00:06:48.270 Uttam Kumaran: The only thing I’ve talked I’ve talked to like the I’ve talked to Dan. Who’s the CEO about? He’s basically look, we run an Amazon. We run a shopify business.
83 00:06:48.490 ⇒ 00:06:49.040 Jakob Kagel: Right.
84 00:06:49.040 ⇒ 00:06:51.479 Uttam Kumaran: Through Amazon. But like we don’t have.
85 00:06:51.600 ⇒ 00:06:54.160 Uttam Kumaran: we can’t control anything. The
86 00:06:54.250 ⇒ 00:06:58.969 Uttam Kumaran: the cancellations and refunds and stuff is really bad, and they take fees.
87 00:06:59.120 ⇒ 00:07:05.710 Uttam Kumaran: So he’s like our job is to promote shopify as much as possible. So that’s all we have. That’s fine.
88 00:07:06.370 ⇒ 00:07:13.330 Jakob Kagel: Yeah, I mean, I don’t know. I mean, it looks like I haven’t looked at actually like, sort of like, their total revenue numbers, like, by split.
89 00:07:13.330 ⇒ 00:07:14.830 Uttam Kumaran: A lot of money coming from Amazon.
90 00:07:14.830 ⇒ 00:07:20.182 Jakob Kagel: Returns. Yes, execute. It seems like it’s a lot coming from Amazon, just based on like the returns.
91 00:07:20.860 ⇒ 00:07:36.314 Jakob Kagel: I mean the number of returns, like the cost of returns, is not as high as shopify, but, like the number of returns, is like, is definitely comparable. The cost of the the total returns. But anyway, yeah, I mean, we’ll give them what we have. And
92 00:07:36.880 ⇒ 00:07:40.250 Jakob Kagel: yeah, it’s it’s unfortunate that we can’t give them more. But yeah.
93 00:07:40.970 ⇒ 00:07:41.802 Uttam Kumaran: Okay, cool. Yeah.
94 00:07:42.080 ⇒ 00:08:00.939 Jakob Kagel: And I’m meeting with I’m meeting with Kim, too, today, like later to just talk about Ab tests. I mean, we have like a price one already set up, which is like the first one that you mentioned in the notes, and I think we can like go ahead with that one, but I do think it probably makes sense. We can just run a couple in parallel. It’s not really a reason not to
95 00:08:01.533 ⇒ 00:08:11.149 Jakob Kagel: so yeah, anyway, I’ll meet with her like later today on that, and then Clint on Friday, for the is like the revenue forecasting. I think right.
96 00:08:11.150 ⇒ 00:08:18.370 Uttam Kumaran: Yeah, okay, great on the intelligent stuff. I mean, I have a little bit of experience running tests and like optimizing stuff. But again, it’s not my like.
97 00:08:18.820 ⇒ 00:08:19.710 Jakob Kagel: Yeah, I.
98 00:08:19.710 ⇒ 00:08:20.260 Uttam Kumaran: So I like.
99 00:08:20.260 ⇒ 00:08:25.482 Jakob Kagel: I would I would. To be completely honest. I wouldn’t say it’s my forte, either, but I do have experience doing it, and like.
100 00:08:25.700 ⇒ 00:08:27.560 Uttam Kumaran: Probably the most experience. Yeah.
101 00:08:27.560 ⇒ 00:08:38.119 Jakob Kagel: Yeah, I mean, their tool looks pretty good. And they’re saying they’re gonna give us like, basically 6 weeks of support, like in the beginning, like as onboarding or whatever. And I’m sure, like, you know.
102 00:08:38.200 ⇒ 00:08:43.659 Jakob Kagel: I could ask enough questions to figure out everything that we need to know. I mean.
103 00:08:43.710 ⇒ 00:08:47.710 Jakob Kagel: I just from looking at the tool, like in the initial, like, call and stuff. It’s like
104 00:08:47.860 ⇒ 00:08:51.540 Jakob Kagel: they have everything in there, too, for us to be able to say like, if the results are.
105 00:08:51.540 ⇒ 00:08:52.550 Uttam Kumaran: Exactly.
106 00:08:52.550 ⇒ 00:08:59.960 Jakob Kagel: Or not. And that’s like, really the part that you care about. Like it’s like, actually what the results are. It’s like, are they significant?
107 00:09:00.346 ⇒ 00:09:01.100 Jakob Kagel: So, yeah.
108 00:09:01.100 ⇒ 00:09:06.109 Uttam Kumaran: That tool came recommended from. Like some people I follow on Twitter. And then I tested it out. And like.
109 00:09:06.230 ⇒ 00:09:13.160 Uttam Kumaran: I was like, Yeah, the analysis layer is really good. And we could basically like, figure out whether it’s working or not. And.
110 00:09:13.410 ⇒ 00:09:16.963 Jakob Kagel: And it integrates like straight into shopify, which is like a huge
111 00:09:17.260 ⇒ 00:09:18.030 Uttam Kumaran: Yeah.
112 00:09:18.030 ⇒ 00:09:24.579 Jakob Kagel: Advantage to like. I definitely like that. That’s that’s honestly like the best part. Probably.
113 00:09:25.040 ⇒ 00:09:26.360 Uttam Kumaran: Yeah. And I hope, like.
114 00:09:26.380 ⇒ 00:09:36.799 Uttam Kumaran: you know, they haven’t run any tests like Kim has been testing like on the marketing side, kind of anecdotally, but nothing has been fully integrated with the store.
115 00:09:37.150 ⇒ 00:09:37.940 Jakob Kagel: So.
116 00:09:38.130 ⇒ 00:09:39.250 Uttam Kumaran: I think, like
117 00:09:39.870 ⇒ 00:09:48.669 Uttam Kumaran: I’m sure she wants to run a bunch of stuff, or she has a lot of like anecdotal evidence that we can really try. And then they haven’t done any price. Elasticity testing.
118 00:09:48.770 ⇒ 00:09:52.790 Uttam Kumaran: not much offer testing, except for just putting things on and seeing kind of like
119 00:09:52.820 ⇒ 00:09:54.479 Uttam Kumaran: getting a sense. So
120 00:09:54.640 ⇒ 00:09:55.480 Uttam Kumaran: yeah.
121 00:09:56.070 ⇒ 00:10:00.950 Jakob Kagel: Let’s do it. Alright. Yeah. So I’ll I’ll meet with her, and then I’ll just let you know sort of what comes out of that.
122 00:10:01.260 ⇒ 00:10:02.330 Uttam Kumaran: Okay. Sick.
123 00:10:05.420 ⇒ 00:10:06.799 Uttam Kumaran: Alright pat. You wanna go.
124 00:10:08.001 ⇒ 00:10:16.659 Patrick Trainer: Yep. So today first up is gonna be like the snowflake azure stuff that’s
125 00:10:16.680 ⇒ 00:10:23.119 Patrick Trainer: going pretty good. And I’m gonna drop all those scripts and stuff in there into the the
126 00:10:23.190 ⇒ 00:10:24.869 Patrick Trainer: what the stellar repo
127 00:10:25.370 ⇒ 00:10:35.679 Patrick Trainer: next up is the netify stuff. Finally got that account shit situated. I don’t really understand what the what the issue was there. But
128 00:10:35.870 ⇒ 00:10:37.679 Patrick Trainer: I I think we’ve got it
129 00:10:37.780 ⇒ 00:10:46.329 Patrick Trainer: figured out at least, so we’re we’re good on that front. It does look like everything’s like working now, like we’re getting
130 00:10:46.370 ⇒ 00:10:51.900 Patrick Trainer: certificates, https. And like all of that, and then the
131 00:10:52.100 ⇒ 00:10:55.898 Patrick Trainer: online like, off flow that seems to be working.
132 00:10:56.320 ⇒ 00:10:56.880 Uttam Kumaran: Well.
133 00:10:57.876 ⇒ 00:10:58.870 Patrick Trainer: And then.
134 00:10:59.320 ⇒ 00:11:02.674 Patrick Trainer: But the other parts that I’m gonna be looking at are just like
135 00:11:03.638 ⇒ 00:11:14.820 Patrick Trainer: like the deployment process as well as like what’s coming back into github then, like we can to set up kind of like the like test environment. So we don’t have to
136 00:11:14.930 ⇒ 00:11:16.780 Patrick Trainer: like push to
137 00:11:17.220 ⇒ 00:11:29.081 Patrick Trainer: prod on every change, or at least in each pull request. So I wanna like, make sure that we have, like 2 separate or least 2 separate environments. So we’re not like clobbering everything
138 00:11:30.540 ⇒ 00:11:31.490 Patrick Trainer: the
139 00:11:31.610 ⇒ 00:11:38.179 Patrick Trainer: last part, I mean, actions are ongoing. That’s just kind of a thing. And then
140 00:11:39.002 ⇒ 00:11:55.920 Patrick Trainer: there was one that I saw yeah in in ready this shipping overview dashboard improvements I’m marked as the assignee. But then Ryan’s kind of like taking all of the tickets that are in there. So I like I.
141 00:11:56.990 ⇒ 00:11:57.990 Uttam Kumaran: I think it’s. I think.
142 00:11:57.990 ⇒ 00:12:03.609 Patrick Trainer: Yeah, I know what this is about. I just like I it’s it’s it’s slipping my mind. Why, I’m assigned
143 00:12:03.960 ⇒ 00:12:05.040 Patrick Trainer: this one
144 00:12:06.250 ⇒ 00:12:13.260 Uttam Kumaran: There’s so there’s a couple of things. One is, I mean, I think this was like, part of that email, like thread from Friday. So basically.
145 00:12:13.260 ⇒ 00:12:14.080 Patrick Trainer: So right.
146 00:12:14.080 ⇒ 00:12:24.270 Uttam Kumaran: You can own the communication like once this all gets finished. I’m adding a couple of things, and then we should wrap up like the work associated, and then.
147 00:12:24.630 ⇒ 00:12:25.680 Patrick Trainer: Okay, alright cool. You did.
148 00:12:25.680 ⇒ 00:12:27.009 Uttam Kumaran: Send it, send it out.
149 00:12:27.280 ⇒ 00:12:28.780 Patrick Trainer: Cool. Okay,
150 00:12:29.670 ⇒ 00:12:30.899 Patrick Trainer: And then has
151 00:12:31.090 ⇒ 00:12:33.010 Patrick Trainer: Dan and Ben been
152 00:12:34.160 ⇒ 00:12:34.860 Patrick Trainer: like
153 00:12:35.390 ⇒ 00:12:37.489 Patrick Trainer: responding or responsive to you.
154 00:12:37.710 ⇒ 00:12:45.260 Uttam Kumaran: Nothing on email, I’m gonna I can text. I’m gonna text. I’m gonna text, Ben, be like, Hey, we send a bunch of stuff over. What do you think? So.
155 00:12:45.260 ⇒ 00:12:45.800 Patrick Trainer: Okay.
156 00:12:45.800 ⇒ 00:12:51.449 Uttam Kumaran: If we can get this for today, I think it gives me like enough to be like, hey, we finished everything from last week.
157 00:12:52.400 ⇒ 00:12:53.560 Uttam Kumaran: whatever we.
158 00:12:54.190 ⇒ 00:12:57.149 Patrick Trainer: Cool. Okay, yeah. Cause he hadn’t responded to my
159 00:12:57.340 ⇒ 00:13:01.040 Patrick Trainer: the Friday message, or whenever that was.
160 00:13:01.340 ⇒ 00:13:02.000 Uttam Kumaran: Yeah.
161 00:13:02.110 ⇒ 00:13:03.429 Uttam Kumaran: And then this
162 00:13:03.480 ⇒ 00:13:09.059 Uttam Kumaran: I would say, this is like the highest priority. Because I want to get this data to Nick.
163 00:13:09.610 ⇒ 00:13:10.550 Uttam Kumaran: Yeah.
164 00:13:11.630 ⇒ 00:13:13.869 Uttam Kumaran: So that would be great to crush today.
165 00:13:14.180 ⇒ 00:13:14.840 Patrick Trainer: Right?
166 00:13:15.270 ⇒ 00:13:16.819 Patrick Trainer: Yeah. So he
167 00:13:17.010 ⇒ 00:13:20.628 Patrick Trainer: so and then Nick has to. Nick’s got
168 00:13:21.190 ⇒ 00:13:28.590 Patrick Trainer: like modeling work in between that right? Or because, like the them pushing any sort of data into
169 00:13:29.000 ⇒ 00:13:31.170 Patrick Trainer: azure blobs like that’s
170 00:13:31.720 ⇒ 00:13:34.079 Patrick Trainer: like that’s not currently happening.
171 00:13:34.590 ⇒ 00:13:36.660 Patrick Trainer: Do am I understanding that correct.
172 00:13:36.660 ⇒ 00:13:39.010 Uttam Kumaran: I think they are pushing data into that.
173 00:13:39.010 ⇒ 00:13:40.590 Patrick Trainer: Oh, they are okay. Okay.
174 00:13:40.590 ⇒ 00:13:42.570 Uttam Kumaran: I think there is data there.
175 00:13:42.860 ⇒ 00:13:49.820 Uttam Kumaran: Nick just needs it purely for modeling. So like pretty much, I think this is the last like kind of like major data engineering hurdle.
176 00:13:49.850 ⇒ 00:13:54.559 Uttam Kumaran: And then where he’s just gonna be modeling on metrics for their dashboards.
177 00:13:54.760 ⇒ 00:13:55.390 Patrick Trainer: Got it
178 00:13:55.620 ⇒ 00:13:56.400 Patrick Trainer: right on.
179 00:14:00.346 ⇒ 00:14:02.910 Uttam Kumaran: Great Brian, do you wanna go.
180 00:14:03.710 ⇒ 00:14:05.460 Ryan Luke Daque: Yeah, sure on my end.
181 00:14:05.770 ⇒ 00:14:10.209 Ryan Luke Daque: I still figuring out the custom reports, especially for Facebook ads.
182 00:14:10.814 ⇒ 00:14:13.789 Ryan Luke Daque: to get the revenue like conversions.
183 00:14:13.830 ⇒ 00:14:15.510 Ryan Luke Daque: values and revenue as well.
184 00:14:15.861 ⇒ 00:14:20.529 Ryan Luke Daque: I think I got it for Google ads. But I think, yeah, it’s it’s still
185 00:14:20.750 ⇒ 00:14:21.795 Ryan Luke Daque: quite
186 00:14:24.040 ⇒ 00:14:26.940 Ryan Luke Daque: a bit complicated for Facebook, basically.
187 00:14:26.960 ⇒ 00:14:29.901 Ryan Luke Daque: And it looks like we can’t do it for like
188 00:14:30.560 ⇒ 00:14:31.769 Ryan Luke Daque: what do you call this
189 00:14:32.200 ⇒ 00:14:39.120 Ryan Luke Daque: play video or attentive, though. So I guess it’s only just Facebook in Google, and that we can do like for.
190 00:14:40.280 ⇒ 00:14:45.399 Ryan Luke Daque: So yeah, that’s it for me. I did create also the draft for the
191 00:14:46.020 ⇒ 00:14:47.110 Ryan Luke Daque: shipments.
192 00:14:47.932 ⇒ 00:14:56.580 Ryan Luke Daque: using the source. But, like I mentioned, it’s still like, as as soon as we get the correct logic for the shipping rate and the shipping
193 00:14:56.740 ⇒ 00:14:58.080 Ryan Luke Daque: amount of
194 00:14:58.130 ⇒ 00:14:59.550 Ryan Luke Daque: cost. Then
195 00:14:59.940 ⇒ 00:15:03.759 Ryan Luke Daque: then we can just basically change the metrics there, and should be the correct
196 00:15:03.840 ⇒ 00:15:05.810 Ryan Luke Daque: calculation already.
197 00:15:06.460 ⇒ 00:15:12.079 Uttam Kumaran: Okay, cool, can we? Can you stay on for like 2 min after this? I just have everything I’m like working on. I just wanna
198 00:15:12.300 ⇒ 00:15:13.539 Uttam Kumaran: runs by it.
199 00:15:16.887 ⇒ 00:15:23.499 Uttam Kumaran: Yeah, I think that’s mainly so. I’m working on adding stuff to the shipment stable. And then I’m gonna
200 00:15:23.680 ⇒ 00:15:27.849 Uttam Kumaran: just push the Pr. For the S 3 bucket for elementary.
201 00:15:27.890 ⇒ 00:15:29.380 Uttam Kumaran: And so it should wrap up
202 00:15:29.730 ⇒ 00:15:31.220 Uttam Kumaran: basically these 2.
203 00:15:31.290 ⇒ 00:15:32.529 Uttam Kumaran: This one is
204 00:15:32.640 ⇒ 00:15:36.129 Uttam Kumaran: blocked. We haven’t really been hearing back from
205 00:15:36.920 ⇒ 00:15:41.160 Uttam Kumaran: the vendor. So I’m just gonna leave it here because I don’t really know
206 00:15:41.760 ⇒ 00:15:43.369 Uttam Kumaran: we have what’s going to happen.
207 00:15:43.929 ⇒ 00:15:49.520 Uttam Kumaran: And then, Ryan, the only other thing is we’re gonna we’re signing real for asset Link.
208 00:15:49.700 ⇒ 00:15:52.609 Uttam Kumaran: I think the next set of tasks I would love.
209 00:15:54.170 ⇒ 00:16:04.379 Uttam Kumaran: I mean, I would love like one other person on the team to kind of also go through like one of the implementations. Basically just get a like an understanding of real like end to end.
210 00:16:04.500 ⇒ 00:16:11.439 Uttam Kumaran: So, Brian, if you want to do that, or if you think you’re good on it, then I’ll see if one other person wants to do it, because
211 00:16:11.710 ⇒ 00:16:14.479 Uttam Kumaran: I just kind of want to share, like the knowledge around that
212 00:16:15.224 ⇒ 00:16:16.700 Uttam Kumaran: like. What do you think.
213 00:16:16.700 ⇒ 00:16:22.600 Ryan Luke Daque: Yeah, sure. Yeah, I’m I’m up to it. Unless, like, anybody else wants to take on as well.
214 00:16:23.710 ⇒ 00:16:27.990 Uttam Kumaran: Yeah, maybe if you can do it. And then, like, maybe on Demos
215 00:16:28.410 ⇒ 00:16:29.790 Uttam Kumaran: next week.
216 00:16:30.080 ⇒ 00:16:35.739 Uttam Kumaran: you can just share, like what the process is. Cause I’ve been using it for like a month or 2
217 00:16:35.800 ⇒ 00:16:37.699 Uttam Kumaran: so I think it’s would be great if.
218 00:16:38.400 ⇒ 00:16:38.950 Ryan Luke Daque: Cool
219 00:16:39.230 ⇒ 00:16:39.890 Ryan Luke Daque: anything.
220 00:16:46.210 ⇒ 00:16:47.179 Ryan Luke Daque: and just
221 00:16:48.370 ⇒ 00:16:52.125 Ryan Luke Daque: just for more contacts. What what am I? What are we supposed to do with this?
222 00:16:52.360 ⇒ 00:16:57.932 Uttam Kumaran: Oh, yeah, sorry. There’s nothing. There’s nothing in this, I’ll add. I’ll add contacts. Basically.
223 00:16:58.360 ⇒ 00:17:01.790 Uttam Kumaran: asset link is like setting up real cloud.
224 00:17:01.920 ⇒ 00:17:03.100 Uttam Kumaran: So
225 00:17:03.620 ⇒ 00:17:06.769 Uttam Kumaran: we want to move stuff over from white dash.
226 00:17:07.380 ⇒ 00:17:07.805 Ryan Luke Daque: Okay.
227 00:17:08.230 ⇒ 00:17:11.180 Uttam Kumaran: We’re gonna be, we’re gonna be using that instead of light dash.
228 00:17:11.687 ⇒ 00:17:18.880 Uttam Kumaran: so we just wanna recreate the key views and make sure all their stuff is there, and then we’ll get on a cadence with Devon
229 00:17:19.140 ⇒ 00:17:21.470 Uttam Kumaran: on, like keeping things up to date. So.
230 00:17:22.260 ⇒ 00:17:23.109 Ryan Luke Daque: So it’s good.
231 00:17:25.940 ⇒ 00:17:26.550 Uttam Kumaran: Oh,
232 00:17:27.880 ⇒ 00:17:33.120 Uttam Kumaran: I think that’s it. So the only other thing is, tomorrow, Friday, I think we’ll start just doing like
233 00:17:33.250 ⇒ 00:17:36.479 Uttam Kumaran: Demo and retro alongside like normal updates.
234 00:17:36.500 ⇒ 00:17:38.100 Uttam Kumaran: just like people can share. Like
235 00:17:38.110 ⇒ 00:17:41.899 Uttam Kumaran: Jacob, it’d be cool to share your evidence stuff with everybody.
236 00:17:42.210 ⇒ 00:17:43.140 Jakob Kagel: Yeah, certainly.
237 00:17:43.800 ⇒ 00:17:48.399 Uttam Kumaran: And then, if anyone’s been working on anything interesting or wants to do a demo that that’d be great, and then
238 00:17:48.540 ⇒ 00:17:49.040 Uttam Kumaran: but
239 00:17:51.048 ⇒ 00:18:01.529 Uttam Kumaran: so we gave an offer out to Nico, who’s gonna be the new Project manager, and he accepted. So he’ll be starting on the twentieth
240 00:18:01.914 ⇒ 00:18:04.830 Uttam Kumaran: like part time. I think his actual like he’s
241 00:18:05.450 ⇒ 00:18:16.680 Uttam Kumaran: he’s basically putting in his 2 weeks. And then he’s like his first day was going to be 27. But I’m like, can you start a little bit earlier part time, so you can kind of like on board onto some of our processes. So may twentieth should be the date.
242 00:18:17.333 ⇒ 00:18:22.450 Uttam Kumaran: Seems like it’s a while away, but so it’s doing. So
243 00:18:22.510 ⇒ 00:18:25.781 Uttam Kumaran: I’m excited. I’m very, very excited for that.
244 00:18:26.635 ⇒ 00:18:29.654 Uttam Kumaran: so I’ll just be doing onboarding stuff for him.
245 00:18:30.460 ⇒ 00:18:36.349 Uttam Kumaran: otherwise, like everybody, should have been paid for last month. So I think that’s all set.
246 00:18:36.490 ⇒ 00:18:37.290 Agustin: And then.
247 00:18:39.020 ⇒ 00:18:39.860 Uttam Kumaran: Thank you. Sorry.
248 00:18:39.860 ⇒ 00:18:40.900 Agustin: So I’m printed.
249 00:18:40.930 ⇒ 00:18:43.420 Agustin: I’m I’m curious. Where is he from?
250 00:18:44.405 ⇒ 00:18:46.750 Uttam Kumaran: He’s he’s from. He’s from Buenos Aires.
251 00:18:47.680 ⇒ 00:18:48.919 Agustin: Oh, really I I.
252 00:18:48.920 ⇒ 00:18:49.580 Uttam Kumaran: Yes. Question.
253 00:18:49.580 ⇒ 00:18:54.170 Agustin: That because Nicolas is a very Argentinian name.
254 00:18:54.480 ⇒ 00:19:00.129 Uttam Kumaran: So his. I asked him his his family’s from like Syria cause Sukari is not
255 00:19:00.260 ⇒ 00:19:02.250 Uttam Kumaran: an Argentinian name, and I was like.
256 00:19:02.720 ⇒ 00:19:13.647 Uttam Kumaran: and I was talking to him, and he was like, Yeah, his like family. His family is from like, he’s like great grandfathers from like Syria or something like that. So? Yeah, I mean, we’ll have to do a trip to go see you guys.
257 00:19:13.890 ⇒ 00:19:14.570 Agustin: Yeah, yeah.
258 00:19:15.830 ⇒ 00:19:16.670 Agustin: studying
259 00:19:17.060 ⇒ 00:19:21.110 Agustin: him in person. Maybe you in the future. But yeah, I I would probably not get to know him.
260 00:19:21.110 ⇒ 00:19:25.539 Uttam Kumaran: Yeah, yeah, yeah. No. I was excited to connect you all. So yeah, I’m excited.
261 00:19:27.650 ⇒ 00:19:30.400 Uttam Kumaran: Cool. I guess, Augustine, if if you want to go.
262 00:19:32.170 ⇒ 00:19:32.780 Agustin: Sure.
263 00:19:33.780 ⇒ 00:19:39.069 Agustin: yeah, not many much. Have many updates from my side. And today we’ll keep working on the
264 00:19:39.160 ⇒ 00:19:43.460 Agustin: elementary website. To make sure, we can use the bring first domain.
265 00:19:44.530 ⇒ 00:19:46.690 Agustin: And yeah, we’ll focus on that.
266 00:19:48.710 ⇒ 00:19:52.030 Uttam Kumaran: Okay, cool. I just moved this to blocked
267 00:19:52.499 ⇒ 00:19:55.639 Uttam Kumaran: and then I also I may have some other
268 00:19:56.247 ⇒ 00:19:58.210 Uttam Kumaran: AI things. We want to test
269 00:19:58.810 ⇒ 00:20:02.830 Uttam Kumaran: Augustine that honestly like, I think we could probably pause on the
270 00:20:03.260 ⇒ 00:20:08.879 Uttam Kumaran: I mean, like, if the brain force thing is gonna take like 30 min. Go ahead and do it. But if it’s gonna take longer.
271 00:20:08.920 ⇒ 00:20:16.290 Uttam Kumaran: I think we just close this out. I wanna kind of start working a little bit on like the send desk AI
272 00:20:16.400 ⇒ 00:20:18.750 Uttam Kumaran: kind of thing we kept we were working on.
273 00:20:18.880 ⇒ 00:20:27.190 Uttam Kumaran: So I wanna kind of make further progress. Maybe, like me, you and Jacob can probably like talk briefly, and just think about like wants and needs from that.
274 00:20:27.510 ⇒ 00:20:30.609 Uttam Kumaran: because I think the stuff with land chain that we did was like
275 00:20:31.030 ⇒ 00:20:37.479 Uttam Kumaran: was like, really, it’s gonna work really well for like basic. And then also, I did a bunch of stuff yesterday on like summarization
276 00:20:37.750 ⇒ 00:20:39.670 Uttam Kumaran: and like sentiment
277 00:20:39.760 ⇒ 00:20:43.109 Uttam Kumaran: and things like that. And I think there’s a lot of opportunity. So.
278 00:20:44.470 ⇒ 00:20:49.260 Agustin: Yeah, I will make sure I can finish it in less than an hour or half an hour. Yeah.
279 00:20:49.260 ⇒ 00:20:52.729 Uttam Kumaran: Okay, cool. Yeah. And then whatever you need for me, for, like the
280 00:20:52.790 ⇒ 00:20:56.109 Uttam Kumaran: the website domain, or like Dns or whatever. Just let me know.
281 00:20:56.970 ⇒ 00:20:58.419 Agustin: Sure I will do that.
282 00:21:01.530 ⇒ 00:21:05.307 Patrick Trainer: The high today here is 104.
283 00:21:07.086 ⇒ 00:21:11.550 Patrick Trainer: So 40 40°C for non American friends.
284 00:21:11.550 ⇒ 00:21:15.900 Jakob Kagel: Hey? Texas is only like Austin’s, only like 90 or something.
285 00:21:15.900 ⇒ 00:21:21.140 Patrick Trainer: Yeah, yeah, it’s like, it’s, it’s currently 94. It’s hot as hell outside.
286 00:21:21.850 ⇒ 00:21:23.410 Ryan Luke Daque: That’s hot, indeed. Yeah.
287 00:21:23.800 ⇒ 00:21:25.120 Jakob Kagel: For us today.
288 00:21:26.110 ⇒ 00:21:30.659 Jakob Kagel: but our humidity is through. The roof is like 67% right now.
289 00:21:31.010 ⇒ 00:21:32.620 Patrick Trainer: Where? Where we
290 00:21:33.450 ⇒ 00:21:36.999 Patrick Trainer: we’re at. Yeah, we’re at 65 right now.
291 00:21:37.220 ⇒ 00:21:38.410 Patrick Trainer: That’s any fun stuff.
292 00:21:38.410 ⇒ 00:21:39.943 Jakob Kagel: Yeah. Yeah. Yeah. Alright. Well.
293 00:21:40.595 ⇒ 00:21:40.940 Patrick Trainer: That.
294 00:21:40.940 ⇒ 00:21:42.310 Jakob Kagel: Out of bed.
295 00:21:42.310 ⇒ 00:21:46.010 Patrick Trainer: It’s it’s coming. The cats on my porch are pissed.
296 00:21:48.480 ⇒ 00:21:49.740 Jakob Kagel: Believe that.
297 00:21:51.070 ⇒ 00:21:52.430 Uttam Kumaran: Okay. But.
298 00:21:53.130 ⇒ 00:21:55.079 Uttam Kumaran: Ryan, you wanted to stay on for a hot set.
299 00:21:55.080 ⇒ 00:21:56.353 Ryan Luke Daque: Yeah, sure.
300 00:21:57.440 ⇒ 00:21:58.120 Uttam Kumaran: Be, a.
301 00:21:58.310 ⇒ 00:21:59.070 Ryan Luke Daque: See it.
302 00:22:02.526 ⇒ 00:22:05.209 Uttam Kumaran: I wanted to look at.
303 00:22:12.770 ⇒ 00:22:20.389 Uttam Kumaran: So just to clarify. So one I was looking at the shipment table. So I’ll just walk through. Basically, we’re
304 00:22:20.420 ⇒ 00:22:24.440 Uttam Kumaran: unioning all the different columns from each of the 3 shipping providers.
305 00:22:24.953 ⇒ 00:22:31.749 Uttam Kumaran: So that makes sense. Can you walk me through exactly like what to bring over from this. I was just having, like a little bit of confusion.
306 00:22:33.150 ⇒ 00:22:34.282 Ryan Luke Daque: Yeah, it’s the
307 00:22:35.260 ⇒ 00:22:39.550 Ryan Luke Daque: Like, if you go to Amazon order items. For example, you have that one.
308 00:22:39.570 ⇒ 00:22:43.169 Ryan Luke Daque: There’s like a calculation for the shipping amount where it’s like.
309 00:22:43.580 ⇒ 00:22:46.549 Ryan Luke Daque: yeah, that one would be like order. If if
310 00:22:46.580 ⇒ 00:22:51.415 Ryan Luke Daque: yeah, there’s like a couple, there’s logic in there, like, if the weight is 0. Then it’s
311 00:22:52.050 ⇒ 00:22:54.760 Ryan Luke Daque: shipping amount times quantity.
312 00:22:54.760 ⇒ 00:22:56.957 Uttam Kumaran: Oh, okay. Okay.
313 00:22:58.410 ⇒ 00:22:59.260 Ryan Luke Daque: Yeah.
314 00:22:59.430 ⇒ 00:23:04.359 Ryan Luke Daque: And then same for the shipping rate. There’s also like a logic in place.
315 00:23:04.670 ⇒ 00:23:07.800 Ryan Luke Daque: and then may at the very bottom. There’s another
316 00:23:08.290 ⇒ 00:23:09.670 Ryan Luke Daque: like logic.
317 00:23:09.960 ⇒ 00:23:13.249 Ryan Luke Daque: That also includes the Ltl
318 00:23:13.830 ⇒ 00:23:15.770 Ryan Luke Daque: shipping amount, I believe.
319 00:23:19.430 ⇒ 00:23:20.740 Ryan Luke Daque: who’s that?
320 00:23:23.870 ⇒ 00:23:26.339 Ryan Luke Daque: Yeah. Row? 1 9 1.
321 00:23:27.170 ⇒ 00:23:29.450 Ryan Luke Daque: So the shipping amount is actually
322 00:23:29.900 ⇒ 00:23:32.589 Ryan Luke Daque: the ship station shipping amount plus the
323 00:23:33.160 ⇒ 00:23:35.019 Ryan Luke Daque: Ltl. Shipping them
324 00:23:36.070 ⇒ 00:23:37.040 Ryan Luke Daque: so.
325 00:23:38.310 ⇒ 00:23:39.270 Uttam Kumaran: Oh.
326 00:23:41.450 ⇒ 00:23:42.820 Uttam Kumaran: okay. Interesting.
327 00:23:47.270 ⇒ 00:23:52.420 Ryan Luke Daque: Yeah, it’s it’s a bit complicated. And then I think it’s also different in
328 00:23:53.320 ⇒ 00:23:55.510 Ryan Luke Daque: gosh, what was this
329 00:23:55.690 ⇒ 00:23:56.800 Ryan Luke Daque: shopify?
330 00:23:57.470 ⇒ 00:24:01.719 Ryan Luke Daque: Think the calculation is a bit different as well. There.
331 00:24:02.720 ⇒ 00:24:06.784 Uttam Kumaran: Okay, so this makes sense. I know how to do this. I’ll take care of that. And then
332 00:24:12.660 ⇒ 00:24:15.680 Ryan Luke Daque: Shopify it.
333 00:24:19.400 ⇒ 00:24:20.710 Ryan Luke Daque: Yeah. Oops
334 00:24:20.870 ⇒ 00:24:23.300 Ryan Luke Daque: here here, like, we’re
335 00:24:24.400 ⇒ 00:24:30.019 Ryan Luke Daque: well, I think it’s the same. It’s we’re just including ltails, shipments directly here in the logic.
336 00:24:31.560 ⇒ 00:24:33.280 Ryan Luke Daque: Yeah, looks like it’s
337 00:24:33.980 ⇒ 00:24:38.510 Ryan Luke Daque: it’s the same. It’s just added here instead of like added in the.
338 00:24:41.580 ⇒ 00:24:53.689 Uttam Kumaran: So based on doing is like depending on what the order is it gets Ltl. Or doesn’t in this situation. What this, what we’ll what I’ll do is I’ll join this to Ltl. And I’ll join this to
339 00:24:53.700 ⇒ 00:24:54.880 Uttam Kumaran: ship station
340 00:24:55.910 ⇒ 00:24:58.299 Uttam Kumaran: that way, and then
341 00:24:58.700 ⇒ 00:25:01.140 Uttam Kumaran: kind of like have to filter out which
342 00:25:03.810 ⇒ 00:25:09.740 Uttam Kumaran: from the one joining Sip station. I’ll make sure there’s no Ltl. From the one joining Ltl. And make sure there’s no ship station.
343 00:25:10.240 ⇒ 00:25:11.059 Uttam Kumaran: and that I think.
344 00:25:11.060 ⇒ 00:25:11.610 Ryan Luke Daque: We should be.
345 00:25:11.610 ⇒ 00:25:13.269 Uttam Kumaran: Alright. So that makes sense. Okay.
346 00:25:13.270 ⇒ 00:25:14.919 Ryan Luke Daque: Yeah, I think that makes sense. Yeah.
347 00:25:16.270 ⇒ 00:25:17.049 Uttam Kumaran: Okay, cool.
348 00:25:17.190 ⇒ 00:25:18.530 Uttam Kumaran: Alright, that’s all I needed.
349 00:25:18.760 ⇒ 00:25:19.330 Ryan Luke Daque: Cool.
350 00:25:19.550 ⇒ 00:25:21.789 Uttam Kumaran: And then last question on the
351 00:25:24.440 ⇒ 00:25:28.444 Uttam Kumaran: on the elementary. I’m just going to add the
352 00:25:29.600 ⇒ 00:25:31.470 Uttam Kumaran: the parameters here.
353 00:25:33.240 ⇒ 00:25:33.830 Uttam Kumaran: or the.
354 00:25:33.830 ⇒ 00:25:37.999 Ryan Luke Daque: I mean for the S. 3 bucket. I think it’s different. I can share.
355 00:25:38.725 ⇒ 00:25:41.210 Ryan Luke Daque: Yeah, let me share you the link.
356 00:25:41.775 ⇒ 00:25:46.339 Ryan Luke Daque: the dog documentation for that one. I think it’s different. If it’s a S. 3 bucket
357 00:25:49.153 ⇒ 00:25:50.540 Ryan Luke Daque: she’s here.
358 00:26:13.300 ⇒ 00:26:15.980 Ryan Luke Daque: Share post on S. 3. Here it is.
359 00:26:22.830 ⇒ 00:26:25.000 Ryan Luke Daque: Yeah, I’ll send you the link
360 00:26:26.270 ⇒ 00:26:29.230 Ryan Luke Daque: here also, just maybe have this in slack. So.
361 00:26:40.360 ⇒ 00:26:40.970 Uttam Kumaran: Okay.
362 00:26:43.490 ⇒ 00:26:44.650 Uttam Kumaran: Nice. Okay.
363 00:26:47.490 ⇒ 00:26:52.909 Ryan Luke Daque: Just a quick question, though, and different topic like. Did you already send the payment for
364 00:26:53.400 ⇒ 00:26:54.670 Ryan Luke Daque: May? April?
365 00:26:54.740 ⇒ 00:26:55.970 Ryan Luke Daque: April? Right?
366 00:26:56.220 ⇒ 00:26:57.560 Uttam Kumaran: I did.
367 00:26:58.305 ⇒ 00:26:58.720 Ryan Luke Daque: Cool!
368 00:26:59.200 ⇒ 00:27:00.490 Uttam Kumaran: Did you not receive it?
369 00:27:00.490 ⇒ 00:27:03.280 Ryan Luke Daque: I haven’t yet for some I don’t know.
370 00:27:03.895 ⇒ 00:27:06.030 Uttam Kumaran: Okay, let me check. Hold on.
371 00:27:09.310 ⇒ 00:27:11.819 Uttam Kumaran: If not, then my bad.
372 00:27:12.060 ⇒ 00:27:12.799 Ryan Luke Daque: No problem.
373 00:27:13.780 ⇒ 00:27:16.759 Ryan Luke Daque: I just yeah. I know you’re you’re busy, and all of.
374 00:27:17.300 ⇒ 00:27:27.299 Uttam Kumaran: No, no, no, no, I mean, this is like it’s something I should take I’ve taken care of. It’s just I’m I’m doing it all manually. So every month. Make sure that it’s all gone through.
375 00:27:34.490 ⇒ 00:27:36.940 Uttam Kumaran: Oh, yeah, you’re correct. Okay, okay, let me do that right.
376 00:27:38.100 ⇒ 00:27:40.760 Uttam Kumaran: Okay, I’ll just send you. So I’ll send you a note when it’s done.
377 00:27:41.000 ⇒ 00:27:42.120 Ryan Luke Daque: Cool thanks.
378 00:27:42.120 ⇒ 00:27:43.380 Uttam Kumaran: Okay. Thanks. Ryan.
379 00:27:43.380 ⇒ 00:27:44.649 Ryan Luke Daque: Have a nice day. Bye, bye.