Meeting Title: DE-AE-AI Standup Date: 2025-12-04 Meeting participants: Casie Aviles, Mustafa Raja, Surf’s iPhone, Demilade Agboola, Rico Rejoso, Gabriel Lam, Uttam Kumaran, Awaish Kumar, Ashwini Sharma
WEBVTT
1 00:00:29.170 ⇒ 00:00:30.270 Surf’s iPhone: Hey!
2 00:00:45.230 ⇒ 00:00:46.120 Casie Aviles: Hey guys.
3 00:00:50.060 ⇒ 00:00:50.740 Mustafa Raja: Mmm.
4 00:00:55.230 ⇒ 00:00:56.810 Demilade Agboola: Hi, how’s everyone doing?
5 00:00:57.720 ⇒ 00:00:58.910 Mustafa Raja: Good, how are you?
6 00:00:59.620 ⇒ 00:01:00.710 Demilade Agboola: I’m doing very well.
7 00:01:01.420 ⇒ 00:01:05.779 Demilade Agboola: It’s a bit cold, I’m in Minnesota, so it’s incredibly cold.
8 00:01:07.980 ⇒ 00:01:11.219 Demilade Agboola: It’s, like, negative 20 degrees Celsius.
9 00:01:12.820 ⇒ 00:01:13.360 Surf’s iPhone: won’t…
10 00:01:14.300 ⇒ 00:01:16.300 Demilade Agboola: It’s negative 20 degrees Celsius.
11 00:01:17.450 ⇒ 00:01:17.950 Demilade Agboola: Bye.
12 00:01:17.950 ⇒ 00:01:18.959 Surf’s iPhone: This must be…
13 00:01:19.830 ⇒ 00:01:20.820 Demilade Agboola: Yeah.
14 00:01:21.240 ⇒ 00:01:23.899 Demilade Agboola: So if you’re a fairly nice person, right?
15 00:01:24.690 ⇒ 00:01:25.730 Surf’s iPhone: Yes.
16 00:01:26.170 ⇒ 00:01:31.759 Demilade Agboola: Okay, so in Fahrenheit, that would be negative 4. That feels like negative 16.
17 00:01:32.090 ⇒ 00:01:33.289 Surf’s iPhone: Oh, boy.
18 00:01:33.650 ⇒ 00:01:34.460 Demilade Agboola: Yeah. Nope.
19 00:01:35.200 ⇒ 00:01:35.660 Uttam Kumaran: Hey, guys.
20 00:01:35.660 ⇒ 00:01:40.810 Surf’s iPhone: I would call… I would call my local person in Congress and make an official complaint.
21 00:01:41.290 ⇒ 00:01:44.399 Demilade Agboola: You know what, I’m thinking of it, I’m thinking of it.
22 00:01:45.880 ⇒ 00:01:51.970 Demilade Agboola: So, I was just saying that I’m in Minnesota right now, and it’s, like, negative 4. That feels like negative 16.
23 00:01:54.350 ⇒ 00:01:56.580 Uttam Kumaran: Yeah, dude.
24 00:01:57.000 ⇒ 00:02:05.390 Uttam Kumaran: Feels like negative 16, yeah, I don’t know. After, after 30 degrees, it’s all the same.
25 00:02:06.470 ⇒ 00:02:17.679 Demilade Agboola: I mean, to be fair, yeah, at some point, you just don’t really notice how cold it really gets, until… so there was a time I had to, buy gas, and I needed to put my, like, pin in.
26 00:02:17.860 ⇒ 00:02:28.939 Demilade Agboola: And in that short period of time, my fingers got numb, and I was like, oh, that’s… like, today’s ridiculously cold. So, you do feel it at some point, but, like, it’s… it’s all the same. It’s all the same.
27 00:02:33.830 ⇒ 00:02:34.660 Uttam Kumaran: That’s funny.
28 00:02:35.870 ⇒ 00:02:37.550 Uttam Kumaran: Okay, Wish, I’ll let you take it.
29 00:02:40.130 ⇒ 00:02:48.220 Awaish Kumar: Yeah, sure. Yeah, we can… Start discussing with,
30 00:02:53.500 ⇒ 00:03:00.079 Awaish Kumar: Yeah, on… So, on Hedra, everything is done.
31 00:03:00.210 ⇒ 00:03:03.650 Awaish Kumar: For CTA, let’s wait for Aishwini.
32 00:03:04.280 ⇒ 00:03:10.709 Awaish Kumar: We can discuss them, maybe, element, So, I…
33 00:03:13.150 ⇒ 00:03:17.760 Awaish Kumar: like, worked on the discovery of the Emerson data.
34 00:03:20.150 ⇒ 00:03:22.809 Awaish Kumar: maybe I’m creating, kind of, memo.
35 00:03:23.190 ⇒ 00:03:24.990 Awaish Kumar: And an ocean dog for them.
36 00:03:25.280 ⇒ 00:03:35.859 Awaish Kumar: So, like, we… And apart from that, also updating the Google sh… like, the data platform documentation, so…
37 00:03:36.110 ⇒ 00:03:41.600 Awaish Kumar: To share with them, like, what access needs we have, and what platform we might need demos for.
38 00:03:43.660 ⇒ 00:03:48.529 Awaish Kumar: And today, we also have two meetings. I don’t know if you are… Will you be having both?
39 00:03:48.830 ⇒ 00:03:50.929 Awaish Kumar: One with comments on this weekly.
40 00:03:50.930 ⇒ 00:04:08.069 Uttam Kumaran: Yeah, we’ll have both. I will be… I’ll… I’m gonna prepare and send a note over. I think in the second meeting, it would be great to talk about, like, the ETL decision, and then I’ll… I guess I’ll… we’ll also review, sort of, like, notes from both meetings.
41 00:04:08.080 ⇒ 00:04:14.110 Uttam Kumaran: And talk a little bit about, like, the architecture. So I feel like that’s… We’re good.
42 00:04:15.020 ⇒ 00:04:21.180 Awaish Kumar: Okay, for the ETL decision, like, will we be opening the discussion, or we will be proposing… The two.
43 00:04:22.210 ⇒ 00:04:36.599 Uttam Kumaran: I think one is, like, if you have a diagram, I would like just to have a discussion about, like, how we select a tool, and sort of, like, you know, what, what, like, you know, how we make that decision, and that way we just kind of kick it off.
44 00:04:36.970 ⇒ 00:04:40.750 Uttam Kumaran: And then we could kind of see, like, what they’re interested in, in terms of a, like.
45 00:04:41.170 ⇒ 00:04:45.540 Uttam Kumaran: Like, documentation, or how we’re actually doing the decision-making process.
46 00:04:47.260 ⇒ 00:04:48.120 Awaish Kumar: Okay.
47 00:04:49.040 ⇒ 00:04:51.840 Awaish Kumar: Maybe I’ll figure out if I have any… anything.
48 00:04:52.410 ⇒ 00:04:52.990 Uttam Kumaran: Okay.
49 00:04:54.370 ⇒ 00:04:57.570 Awaish Kumar: But, yeah, so…
50 00:04:58.090 ⇒ 00:05:03.850 Awaish Kumar: I have shared, like, with, like, the list of sources, and we can share them.
51 00:05:04.130 ⇒ 00:05:05.600 Awaish Kumar: To get the access.
52 00:05:05.980 ⇒ 00:05:10.649 Awaish Kumar: Basically, if we have access, we can determine the volume, and then we can…
53 00:05:10.940 ⇒ 00:05:14.129 Awaish Kumar: Select the tools, and probably we will need 5 train, I think.
54 00:05:14.250 ⇒ 00:05:16.110 Awaish Kumar: No, they have Amazon.
55 00:05:17.080 ⇒ 00:05:22.130 Awaish Kumar: Atomic don’t have a connector for Amazon yet, so…
56 00:05:25.320 ⇒ 00:05:25.930 Uttam Kumaran: Okay.
57 00:05:26.910 ⇒ 00:05:38.400 Awaish Kumar: Okay, apart from that, maybe… Yeah, for… default, did we…
58 00:05:38.870 ⇒ 00:05:42.150 Awaish Kumar: Yeah, Mustafar, do you have any updates on… on your tickets?
59 00:05:42.810 ⇒ 00:05:43.660 Mustafa Raja: Yes.
60 00:05:43.970 ⇒ 00:05:45.829 Mustafa Raja: So,
61 00:05:47.530 ⇒ 00:05:57.370 Mustafa Raja: Okay, so, so the vendor, vendor comparison I did, just as we talked about it, and then the,
62 00:05:57.850 ⇒ 00:06:08.839 Mustafa Raja: the master sheet, I am building it, similarly to what we decided on how we should, format the, columns.
63 00:06:08.970 ⇒ 00:06:17.049 Mustafa Raja: I might, I might ask for your review, or a quick huddle to go over it, just to make sure that
64 00:06:17.240 ⇒ 00:06:28.170 Mustafa Raja: It doesn’t get messy and all. And apart from that, I also did, the dashboard update that Caitlin asked for yesterday.
65 00:06:28.280 ⇒ 00:06:33.360 Mustafa Raja: And I updated, her, in the same thread she asked.
66 00:06:33.550 ⇒ 00:06:36.530 Mustafa Raja: For the update. And that is pretty much it.
67 00:06:37.200 ⇒ 00:06:46.260 Awaish Kumar: Okay, yeah, for, like, for context, Sutam, like, for data vendors comparison sheet, we decided to have, like, 3 tables in a sheet.
68 00:06:46.380 ⇒ 00:06:57.320 Awaish Kumar: One with the name and the scores, based on scoring model, like, which one is better than the other, and then all the fields, the bottom… two different tables with the…
69 00:06:57.950 ⇒ 00:07:02.560 Awaish Kumar: All the fields, and selecting, like, which ones are available from what, which vendor.
70 00:07:03.030 ⇒ 00:07:03.780 Uttam Kumaran: Okay.
71 00:07:03.780 ⇒ 00:07:04.860 Awaish Kumar: and people’s API.
72 00:07:04.860 ⇒ 00:07:06.439 Mustafa Raja: So, what’s obvious?
73 00:07:06.440 ⇒ 00:07:07.420 Awaish Kumar: Yeah.
74 00:07:07.420 ⇒ 00:07:16.170 Mustafa Raja: Yeah, just to… just to add a little bit more, I’ve split these into two different sheets, so the scoring model one would be one sheet.
75 00:07:16.340 ⇒ 00:07:26.390 Mustafa Raja: As comparison sheet, and then, the field comparison would be master vendor sheet.
76 00:07:26.820 ⇒ 00:07:30.630 Mustafa Raja: If that’s okay. I can consolidate them too, if you want.
77 00:07:30.840 ⇒ 00:07:34.689 Awaish Kumar: Are you, like, are you still working on that, or what are the next steps?
78 00:07:34.690 ⇒ 00:07:40.150 Mustafa Raja: So I’m working on the fields one. The scoring one, should be good.
79 00:07:40.930 ⇒ 00:07:42.640 Mustafa Raja: It’s 176.
80 00:07:43.260 ⇒ 00:07:44.780 Mustafa Raja: DEF176.
81 00:07:44.800 ⇒ 00:07:45.680 Awaish Kumar: Yeah.
82 00:07:47.160 ⇒ 00:07:51.519 Awaish Kumar: Apart from that, like, do you have any update on…
83 00:07:52.180 ⇒ 00:07:57.149 Awaish Kumar: the ETL, like, you know, data from SuperPhase 2 is S3.
84 00:07:57.330 ⇒ 00:08:00.640 Mustafa Raja: Not yet. They haven’t gotten back to us.
85 00:08:01.220 ⇒ 00:08:02.309 Mustafa Raja: You too.
86 00:08:03.280 ⇒ 00:08:03.600 Awaish Kumar: Okay.
87 00:08:03.600 ⇒ 00:08:06.929 Mustafa Raja: We have a meeting today, so we might get some updates in that.
88 00:08:14.480 ⇒ 00:08:17.189 Awaish Kumar: Yeah, for… yeah, next is Eden.
89 00:08:17.620 ⇒ 00:08:27.109 Awaish Kumar: For Aidans, we… like, demolade? Like, did we finish up French modeling, or…
90 00:08:27.930 ⇒ 00:08:28.440 Awaish Kumar: Nope.
91 00:08:28.440 ⇒ 00:08:41.569 Demilade Agboola: It’s just a little bit left for the offline data modeling, so I’ll get that out today. But the other stuff about the reverse ETL, it doesn’t appear that… so that’s 1206.
92 00:08:43.340 ⇒ 00:09:02.830 Demilade Agboola: it doesn’t appear that they have any APIs ready for us to push anything back into their, into the Fluence infrastructure. But I’ve been talking to their contacts, their customer support, Michelle, so Michelle said she’ll reach out to the team and let me know if, like, what if they do, and what they can do about it.
93 00:09:02.830 ⇒ 00:09:11.390 Demilade Agboola: But I looked through their documentations, by the time I looked through their documentation, and we couldn’t see anything that would be useful to push back.
94 00:09:11.710 ⇒ 00:09:15.369 Demilade Agboola: any data into their API, or into their system.
95 00:09:16.230 ⇒ 00:09:19.150 Awaish Kumar: Yeah, so for this, the idea is that, like.
96 00:09:19.300 ⇒ 00:09:29.820 Awaish Kumar: I don’t know, for Catalyst, the idea was that they were sending data from Pixel with the status pending, and then we again sent the same order with the status, completed.
97 00:09:29.850 ⇒ 00:09:39.739 Awaish Kumar: from API, and then that means an order is properly completed, and we can pay for that to Catalyst. And they want to have similar kind of process for
98 00:09:39.910 ⇒ 00:09:43.139 Awaish Kumar: affluence, so maybe we can discuss with,
99 00:09:43.350 ⇒ 00:09:51.360 Awaish Kumar: Zoran, like, how Pixel thing is going, and then maybe… and how then we need this
100 00:09:52.090 ⇒ 00:09:58.729 Awaish Kumar: like, to send data over CTL, and maybe you can discuss, like, we don’t… they don’t yet have this API, so how…
101 00:09:59.020 ⇒ 00:09:59.510 Awaish Kumar: I don’t.
102 00:09:59.510 ⇒ 00:10:00.880 Demilade Agboola: Yeah, I mean…
103 00:10:01.160 ⇒ 00:10:19.309 Demilade Agboola: That’s fair. We did talk to, like, the Fluence team. They asked what they needed, like, what do we need to send into the… into their system, and I just said, basically, the order ID, the order total, and the order status, so we can just use it to verify, within UpFluence, which
104 00:10:19.470 ⇒ 00:10:22.990 Demilade Agboola: Campaigns and which influencers and which profiles converted.
105 00:10:23.210 ⇒ 00:10:27.590 Demilade Agboola: So yeah, that’s basically… we’ll see what Offerings has to say.
106 00:10:27.590 ⇒ 00:10:28.080 Awaish Kumar: Absolutely.
107 00:10:28.360 ⇒ 00:10:32.880 Demilade Agboola: create something for us, cool. If not, we’ll have to think of another way around it.
108 00:10:33.670 ⇒ 00:10:39.610 Awaish Kumar: Yeah, I’ll just, like, go ask Zoran, like, how he’s sending from pixel size, like, how the data is…
109 00:10:39.930 ⇒ 00:10:42.690 Awaish Kumar: in going there. That will, like…
110 00:10:43.400 ⇒ 00:10:50.769 Awaish Kumar: Help us, like, determine, like, if we’re sending the status with the data, order data, or… Oh, that is…
111 00:10:51.160 ⇒ 00:10:52.010 Awaish Kumar: Happening.
112 00:10:52.380 ⇒ 00:10:53.860 Awaish Kumar: On that place platform.
113 00:10:55.510 ⇒ 00:10:56.719 Demilade Agboola: Alright, sounds good.
114 00:10:58.750 ⇒ 00:11:00.050 Awaish Kumar: So, yeah.
115 00:11:00.860 ⇒ 00:11:06.520 Awaish Kumar: I don’t know, today, we also have a meeting, like, will you be joining that, like… I think from…
116 00:11:07.420 ⇒ 00:11:14.639 Awaish Kumar: Brad from Telehealth have opened a meeting to discuss COGS-related Issues and things like that.
117 00:11:15.970 ⇒ 00:11:16.460 Demilade Agboola: Anyways.
118 00:11:19.690 ⇒ 00:11:21.500 Demilade Agboola: In use, admitted meeting.
119 00:11:21.910 ⇒ 00:11:25.640 Awaish Kumar: Yeah, you are already in the NY. You, me, and Henry, and everyone.
120 00:11:26.410 ⇒ 00:11:28.009 Demilade Agboola: But that’s tomorrow, though.
121 00:11:28.620 ⇒ 00:11:30.230 Awaish Kumar: Oh, okay, yeah, that’s…
122 00:11:30.230 ⇒ 00:11:30.920 Demilade Agboola: Okay.
123 00:11:31.140 ⇒ 00:11:36.670 Awaish Kumar: Okay, so yeah, like, do you have any context for that, or, like, you want to prepare for that?
124 00:11:37.460 ⇒ 00:11:54.289 Demilade Agboola: So we’ve… we had a meeting last time where we had conversations about what we would like to do, in terms of the progress. Right now, the highest priority seems to be duplicating what he has in his spreadsheets.
125 00:11:54.510 ⇒ 00:11:59.949 Demilade Agboola: like, Excel files into, like, Tableau, so he doesn’t have to look into multiple places.
126 00:12:00.100 ⇒ 00:12:03.650 Demilade Agboola: for, his numbers.
127 00:12:04.360 ⇒ 00:12:16.210 Demilade Agboola: And it’s kind of because of those kind of meetings, we started putting pressure on Basque to also have vowel size, so they’re working on the vowel size portion of it. I would need to get details from,
128 00:12:18.210 ⇒ 00:12:34.350 Demilade Agboola: Henry, about, like, what progress has been made in regard, like, you know, moving some of his charts into Tableau, if there are any blockers, if… like, he hasn’t flagged that he needs me for any modeling, so I’m just… my assumption is he has a lot of what he needs.
129 00:12:34.430 ⇒ 00:12:40.109 Demilade Agboola: And if there are any blockers, I guess we’ll have to… we can find out in the next meeting if there are any blockers with that.
130 00:12:41.690 ⇒ 00:12:50.049 Awaish Kumar: Yeah, okay, great. So I just moved one of my tickets to next cycle, because I don’t think that’s going to happen this week.
131 00:12:50.260 ⇒ 00:12:54.580 Awaish Kumar: That’s regarding TikTok, and we haven’t started on this.
132 00:12:55.140 ⇒ 00:12:59.020 Awaish Kumar: from… like, it needs to be started from Zoran first.
133 00:13:00.230 ⇒ 00:13:04.720 Awaish Kumar: Then, Ashwini, like, do you wanna give update?
134 00:13:05.850 ⇒ 00:13:13.350 Ashwini Sharma: Yeah, so yesterday, I created a basic dbt project for, CTA, one data model as well.
135 00:13:13.520 ⇒ 00:13:17.879 Ashwini Sharma: But I was not able to upload it, don’t have Git access, write access.
136 00:13:18.100 ⇒ 00:13:23.980 Ashwini Sharma: So, yeah, I asked the, asked for it, but didn’t see any response.
137 00:13:23.980 ⇒ 00:13:26.860 Awaish Kumar: Like, even now, like, then you cannot give an update on CTA.
138 00:13:26.860 ⇒ 00:13:35.800 Ashwini Sharma: So, okay, for Eden, I didn’t get any time to work yesterday, so today I’m starting to look at the one that was assigned to Zoran, the meta thing.
139 00:13:36.740 ⇒ 00:13:39.530 Ashwini Sharma: the validation of, of, yeah, your PR.
140 00:13:40.320 ⇒ 00:13:42.849 Awaish Kumar: And what then also the metaplane stuff.
141 00:13:42.850 ⇒ 00:13:46.319 Ashwini Sharma: Yeah, that is also pending. I’ll take a stab at that, too.
142 00:13:48.590 ⇒ 00:13:50.480 Awaish Kumar: Okay, then let’s discuss CTA.
143 00:13:50.780 ⇒ 00:13:51.310 Ashwini Sharma: Yep.
144 00:13:51.770 ⇒ 00:13:52.380 Awaish Kumar: Yeah.
145 00:13:52.620 ⇒ 00:13:56.339 Uttam Kumaran: Yeah, so, Ashwini, she responded, I think she just gave us access.
146 00:13:56.960 ⇒ 00:14:01.170 Ashwini Sharma: Yes, sir, did? I didn’t see that in the thread anywhere. Okay, I’ll check that.
147 00:14:01.370 ⇒ 00:14:05.499 Ashwini Sharma: If it’s there, then I’ll just, put it in the repo.
148 00:14:05.960 ⇒ 00:14:16.440 Uttam Kumaran: So then I’m gonna try to… I’m gonna try to get on the phone with her later today, so I can present that, and then talk about ETL. So, yeah.
149 00:14:19.310 ⇒ 00:14:28.270 Ashwini Sharma: Cool. Okay. Yeah, as soon as we can get some data in it, I think it would be good. I could start on some basic modeling.
150 00:14:29.710 ⇒ 00:14:34.619 Ashwini Sharma: Do… do we have a list of KPIs that… that… I mean, she’s interested in?
151 00:14:35.810 ⇒ 00:14:38.160 Uttam Kumaran: That’s, like, what I’m gonna be…
152 00:14:38.340 ⇒ 00:14:46.779 Uttam Kumaran: like, trying to gather for… because we only have one data source, which is the remembers data, so I’ll sort of… I’m going to kind of build out the… the scope.
153 00:14:47.470 ⇒ 00:14:51.640 Ashwini Sharma: Yeah, it would be nice to get some quick wins, right, on these things, yeah.
154 00:14:52.610 ⇒ 00:14:53.220 Uttam Kumaran: debt.
155 00:14:53.840 ⇒ 00:14:55.589 Awaish Kumar: Is, remember, as a tool, or…
156 00:14:55.800 ⇒ 00:14:56.390 Awaish Kumar: Something?
157 00:14:56.390 ⇒ 00:14:57.080 Uttam Kumaran: Yes.
158 00:14:58.390 ⇒ 00:14:59.390 Uttam Kumaran: to talk.
159 00:15:00.270 ⇒ 00:15:00.880 Awaish Kumar: Okay.
160 00:15:01.300 ⇒ 00:15:08.139 Ashwini Sharma: And she also said, something about, you know, Google Analytics data being there on BigQuery.
161 00:15:08.290 ⇒ 00:15:16.239 Ashwini Sharma: So, like, is this something you’ve already done before? Like, has somebody worked on synchronizing data between BigQuery and Snowflake?
162 00:15:16.860 ⇒ 00:15:18.410 Uttam Kumaran: No, no, not yet.
163 00:15:18.870 ⇒ 00:15:19.530 Ashwini Sharma: Okay.
164 00:15:23.180 ⇒ 00:15:29.569 Ashwini Sharma: Cool, because there seems to be an option where you can, you know, back that BigQuery data as an iceberg files.
165 00:15:29.940 ⇒ 00:15:45.489 Ashwini Sharma: tables, and then the same iceberg tables can be exposed in Snowflake. So the data resides in one place as iceberg tables and Parquet files, and then both the data can be exposed as the BigQuery tables as well as Snowflake tables.
166 00:15:45.650 ⇒ 00:15:51.250 Ashwini Sharma: it is feasible, but I don’t know, like, what would be the effort in doing so.
167 00:15:51.550 ⇒ 00:15:57.719 Ashwini Sharma: Otherwise, like, we end up, you know, having a connector that extracts data from BigQuery and puts it into Snowflake.
168 00:15:58.080 ⇒ 00:16:03.330 Awaish Kumar: But, like… Why we chose Snowflake then, if we have a big query?
169 00:16:04.330 ⇒ 00:16:10.650 Uttam Kumaran: No, I mean, I’m… I’m not… I’m not personally familiar with this. This is the first time I’m hearing the BigQuery thing, so…
170 00:16:11.880 ⇒ 00:16:18.860 Ashwini Sharma: Yeah, that’s what she mentioned yesterday, or maybe the day before yesterday in the call, or maybe in the thread, yeah, somewhere.
171 00:16:21.100 ⇒ 00:16:25.420 Uttam Kumaran: Yeah, everything will end up landing in Snowflake, so we didn’t end up choosing
172 00:16:25.790 ⇒ 00:16:29.140 Uttam Kumaran: BigQuery or anything, so yeah, just something for us to think about.
173 00:16:30.710 ⇒ 00:16:39.729 Awaish Kumar: Okay, yeah, we can discuss, like, if they’re already using BigQuery and most of the data stays there, then we can just utilize that.
174 00:16:42.080 ⇒ 00:16:42.620 Uttam Kumaran: Okay.
175 00:16:43.970 ⇒ 00:16:50.379 Awaish Kumar: Yeah, so apart from that, for the README, Mutzfar, do you wanna… Have any update?
176 00:16:54.420 ⇒ 00:16:59.580 Mustafa Raja: Yes, so, I did work on the, 67 yesterday.
177 00:16:59.890 ⇒ 00:17:06.999 Mustafa Raja: and I have a dashboard, ready for that. in the channel, I’ve also linked the Loom.
178 00:17:07.440 ⇒ 00:17:12.800 Mustafa Raja: Where I explained how I did that. And for 66,
179 00:17:12.980 ⇒ 00:17:19.940 Mustafa Raja: I was unable to find any, events triggering from the offline page that they have for pricing.
180 00:17:20.220 ⇒ 00:17:28.530 Mustafa Raja: I tried listening to those events using the extension that Robert suggested, and also tried searching up relevant events in the…
181 00:17:30.090 ⇒ 00:17:36.680 Mustafa Raja: in amplitude, but I could’ve… couldn’t find it. This is something that I am extending in the loom also.
182 00:17:36.970 ⇒ 00:17:43.529 Mustafa Raja: So yeah, I just need Robert’s review on these. 67 could be… could be put… put in, internal review.
183 00:17:44.950 ⇒ 00:17:45.680 Awaish Kumar: Okay.
184 00:17:50.620 ⇒ 00:17:52.800 Awaish Kumar: Read me, okay.
185 00:17:53.090 ⇒ 00:17:59.370 Awaish Kumar: And then we can go… Towards, like, lilo?
186 00:18:00.120 ⇒ 00:18:05.670 Awaish Kumar: I got, so, do you have any update on… on Zillow?
187 00:18:09.050 ⇒ 00:18:19.769 Surf’s iPhone: Yep. Me and Otom have been chatting, back and forth with, Zach. We got full access to the railway environment,
188 00:18:20.080 ⇒ 00:18:37.319 Surf’s iPhone: Today, so that’s all set up, admin access level, so between today and tomorrow, I’m gonna be working on redeploying their platform on Railway. So that should be a pretty good spot, and then after that, the next thing I’m gonna be working on is rewriting their auth.
189 00:18:39.140 ⇒ 00:18:41.050 Surf’s iPhone: So that’s, like, the first order of business.
190 00:18:43.410 ⇒ 00:18:44.880 Awaish Kumar: Okay, huh.
191 00:18:46.950 ⇒ 00:18:48.250 Awaish Kumar: And…
192 00:18:48.250 ⇒ 00:18:49.880 Surf’s iPhone: You wanna add 2 tickets for that?
193 00:18:51.100 ⇒ 00:18:53.100 Awaish Kumar: Yeah, like, we can…
194 00:18:53.100 ⇒ 00:18:59.160 Surf’s iPhone: One for, redepl- put, redeploy platform on… Railway?
195 00:18:59.430 ⇒ 00:19:03.609 Surf’s iPhone: And then a second ticket for rebuild auth using BetterAuth.
196 00:19:05.840 ⇒ 00:19:07.100 Surf’s iPhone: Rebuilder what?
197 00:19:07.890 ⇒ 00:19:10.700 Surf’s iPhone: Rebuild off A-U-T-H.
198 00:19:11.090 ⇒ 00:19:13.940 Surf’s iPhone: Using Better Off.
199 00:19:14.700 ⇒ 00:19:17.990 Surf’s iPhone: Better, and then dash off, yeah. That’s fine.
200 00:19:18.280 ⇒ 00:19:18.840 Awaish Kumar: Great.
201 00:19:22.280 ⇒ 00:19:23.700 Awaish Kumar: Do we have one?
202 00:19:25.070 ⇒ 00:19:25.910 Awaish Kumar: Yeah.
203 00:19:26.830 ⇒ 00:19:29.770 Awaish Kumar: Rico, can we add Soph in this team?
204 00:19:31.950 ⇒ 00:19:37.539 Uttam Kumaran: I think if you type his name, it’ll let you assign, it just won’t… Oh, maybe not.
205 00:19:40.150 ⇒ 00:19:45.069 Awaish Kumar: Okay, I’ll just put it there, and I can sign later. Yeah, and what was the other one?
206 00:19:46.400 ⇒ 00:19:50.280 Surf’s iPhone: Redeploy platform on railway.
207 00:19:54.380 ⇒ 00:19:55.040 Awaish Kumar: Okay.
208 00:20:00.450 ⇒ 00:20:06.309 Awaish Kumar: Okay, and does it… need to be combined in a project, or we only have one project for this client?
209 00:20:07.830 ⇒ 00:20:11.629 Surf’s iPhone: When you say project… What do you mean?
210 00:20:12.050 ⇒ 00:20:18.180 Awaish Kumar: Like, for one client, we might be working on multiple things, and we can then group different tasks and different projects.
211 00:20:18.510 ⇒ 00:20:26.960 Surf’s iPhone: Well, alright, yeah, well, the grouping for both of these is… Like, platform architecture.
212 00:20:27.770 ⇒ 00:20:28.420 Awaish Kumar: Okay.
213 00:20:29.100 ⇒ 00:20:31.239 Awaish Kumar: Yeah, I… we can create that later.
214 00:20:31.790 ⇒ 00:20:33.810 Awaish Kumar: And what about remote?
215 00:20:34.680 ⇒ 00:20:53.459 Surf’s iPhone: Remo, a bunch of chatter back and forth, and talking with them all the time. I’m literally… Josh just texted me again. So… oh, he just… oh, that’s awesome. Alright, so he just issued me a credit card so that I can buy all of the toolings. It looks like…
216 00:20:53.820 ⇒ 00:20:57.900 Surf’s iPhone: Josh is gonna get…
217 00:20:58.140 ⇒ 00:21:07.659 Surf’s iPhone: what’s his name? Cameron, to actually deploy the thing, because I asked him yesterday, he kind of said no, and then Josh got involved, and now he’s saying yes. So…
218 00:21:08.220 ⇒ 00:21:21.619 Surf’s iPhone: That whole thing is confusing, I’m gonna figure it out, but I don’t have a really great update for that. Other than I just got the credit card, he literally just sent it to me. So I have the credit card number to buy, the pieces.
219 00:21:23.220 ⇒ 00:21:34.390 Surf’s iPhone: So I’m gonna start issuing that stuff out today. I don’t have the full list from Cameron of all the things I need to get, but I’m gonna start on that today, so I’ll have a better update for you potentially tomorrow.
220 00:21:36.730 ⇒ 00:21:46.010 Surf’s iPhone: But I’m chat… I’m basically chatting with Josh and Adam. I’m chatting with them all day yesterday. Probably gonna do the same thing today, cause…
221 00:21:46.660 ⇒ 00:21:51.929 Surf’s iPhone: the whole thing is kind of just in this beginning state where it’s a little bit confusing. I have it under control, but…
222 00:21:52.590 ⇒ 00:21:57.650 Surf’s iPhone: It’s a work. Yeah, just, just, just know, put it like this,
223 00:21:57.990 ⇒ 00:22:01.720 Surf’s iPhone: For them, the only ticket that we have is…
224 00:22:02.050 ⇒ 00:22:07.880 Surf’s iPhone: Deploy all the infrastructure, and pay for all the new services.
225 00:22:09.050 ⇒ 00:22:09.680 Awaish Kumar: Okay.
226 00:22:11.700 ⇒ 00:22:16.100 Awaish Kumar: Okay, and I saw some messages from Robert, he was looking for a resourcing plan, or…
227 00:22:17.590 ⇒ 00:22:20.889 Surf’s iPhone: Resourcing plan, give me a second, let me just double-check.
228 00:22:20.890 ⇒ 00:22:23.730 Awaish Kumar: Because people needed, or whatever.
229 00:22:24.640 ⇒ 00:22:30.870 Awaish Kumar: like, if the Eden has to hire those, or if you are going to manage them, things like that. Like, he was asking.
230 00:22:30.870 ⇒ 00:22:33.269 Surf’s iPhone: Oh, me and Robert spoke yesterday about that.
231 00:22:33.420 ⇒ 00:22:33.890 Awaish Kumar: Okay.
232 00:22:33.890 ⇒ 00:22:37.040 Surf’s iPhone: So yeah, we actually had a conversation about that, so we should be good.
233 00:22:37.330 ⇒ 00:22:41.960 Awaish Kumar: Yeah, so, yeah, if you just share the update, like, what was the conclusion?
234 00:22:42.490 ⇒ 00:22:43.220 Surf’s iPhone: Got you.
235 00:22:45.020 ⇒ 00:22:45.650 Awaish Kumar: Okay.
236 00:22:48.570 ⇒ 00:22:49.850 Awaish Kumar: Sorry, go ahead.
237 00:22:53.840 ⇒ 00:22:55.189 Surf’s iPhone: No, I didn’t say anything after that.
238 00:22:56.100 ⇒ 00:22:57.540 Awaish Kumar: So, yeah, then we…
239 00:22:57.540 ⇒ 00:22:58.849 Surf’s iPhone: the conclusion in Slack.
240 00:22:59.810 ⇒ 00:23:05.919 Awaish Kumar: Okay, sure, no worries. Then, like, I had just one thing for Mustafa, like, yesterday we…
241 00:23:07.270 ⇒ 00:23:13.280 Awaish Kumar: we were supporting Henry to upload files to Mother Duck, and I think it was blocked by payment plans.
242 00:23:13.280 ⇒ 00:23:14.160 Mustafa Raja: Yes.
243 00:23:15.720 ⇒ 00:23:22.470 Awaish Kumar: So, like, are you in that meeting where Robert wanted us to… Like, ask for it.
244 00:23:23.840 ⇒ 00:23:28.059 Mustafa Raja: I, is it with the Honeysync client?
245 00:23:28.240 ⇒ 00:23:32.490 Mustafa Raja: Yeah, check-in meeting. I don’t think so. I don’t think I’m in there.
246 00:23:33.560 ⇒ 00:23:35.270 Awaish Kumar: Okay. Let me double check the…
247 00:23:39.940 ⇒ 00:23:41.510 Mustafa Raja: Yes, I’m not in there.
248 00:23:42.600 ⇒ 00:23:43.730 Mustafa Raja: Is it today?
249 00:23:44.590 ⇒ 00:23:47.399 Awaish Kumar: I don’t know, I’m not in there either, so who’s…
250 00:23:47.480 ⇒ 00:23:48.560 Uttam Kumaran: For what?
251 00:23:49.040 ⇒ 00:23:52.369 Awaish Kumar: for Honeystringer, check-in meeting, like, are you joining the.
252 00:23:53.240 ⇒ 00:23:55.730 Uttam Kumaran: Yeah, check-in meeting is tomorrow.
253 00:23:57.000 ⇒ 00:24:01.890 Uttam Kumaran: I can add you, Mustafa, if you need to be there.
254 00:24:02.000 ⇒ 00:24:03.770 Uttam Kumaran: Right now, it’s just me, Amber.
255 00:24:04.950 ⇒ 00:24:10.850 Mustafa Raja: I think we just need to… we just need, honey… the mother duck paid.
256 00:24:11.620 ⇒ 00:24:16.619 Uttam Kumaran: Yeah, well, I moved it to… I moved it to a free account, so you should still be able to use it. So…
257 00:24:16.620 ⇒ 00:24:17.380 Mustafa Raja: Okay, yeah.
258 00:24:17.380 ⇒ 00:24:22.459 Uttam Kumaran: In case, like, that happens again, you just have to scroll down on that page, and you can click Free.
259 00:24:23.680 ⇒ 00:24:24.420 Mustafa Raja: Okay.
260 00:24:24.420 ⇒ 00:24:30.029 Uttam Kumaran: Oh, yeah. I’m gonna get them to pay for it, but you should still be able to use it.
261 00:24:30.360 ⇒ 00:24:31.720 Mustafa Raja: Okay, yeah, I’ll do that then.
262 00:24:32.510 ⇒ 00:24:33.220 Uttam Kumaran: Okay.
263 00:24:33.380 ⇒ 00:24:39.460 Awaish Kumar: Okay, then we can work on uploading the data, and then, Demilade, did you able… were you able to help?
264 00:24:39.590 ⇒ 00:24:43.069 Awaish Kumar: Henry for… Aiden’s files?
265 00:24:44.940 ⇒ 00:24:50.829 Demilade Agboola: No, not yet. I know the data, there was barely any data in there.
266 00:24:51.430 ⇒ 00:24:55.329 Demilade Agboola: And so, I wasn’t able to, like… give me a second…
267 00:24:56.220 ⇒ 00:24:59.469 Awaish Kumar: Are you able to see anything? He sent, he sent a new…
268 00:24:59.470 ⇒ 00:25:01.899 Demilade Agboola: He sent a new spreadsheet, I didn’t see that.
269 00:25:02.210 ⇒ 00:25:02.830 Awaish Kumar: Okay.
270 00:25:03.670 ⇒ 00:25:12.659 Demilade Agboola: I, I will loop… Alright, I’ll look into that, and I’ll respond now.
271 00:25:13.230 ⇒ 00:25:13.780 Awaish Kumar: Okay.
272 00:25:15.510 ⇒ 00:25:16.950 Demilade Agboola: Yeah, I’ve…
273 00:25:17.790 ⇒ 00:25:20.530 Awaish Kumar: Forgot what case he was working on.
274 00:25:20.720 ⇒ 00:25:22.200 Uttam Kumaran: Maybe ABC stuff?
275 00:25:22.400 ⇒ 00:25:26.349 Awaish Kumar: Yeah, Casey, if you wanna… Give update on your clients.
276 00:25:27.590 ⇒ 00:25:34.050 Casie Aviles: Yeah, so for ABC, what we’ve been just working on is… The migration, which is,
277 00:25:34.210 ⇒ 00:25:37.590 Casie Aviles: You know, that one is in progress right now.
278 00:25:38.410 ⇒ 00:25:45.040 Casie Aviles: Yeah, so yesterday, I was also working with Amber to address some triage
279 00:25:45.710 ⇒ 00:25:48.450 Casie Aviles: Tickets, and I just got a note right now.
280 00:25:48.580 ⇒ 00:25:52.639 Casie Aviles: for the zip code database, so I’m going to take a look at that.
281 00:25:53.620 ⇒ 00:26:01.299 Casie Aviles: Yeah, it’s mostly just… I mean, I can see, like, some updates going through, but…
282 00:26:01.810 ⇒ 00:26:05.389 Casie Aviles: I’m going to double-check what’s exactly causing this.
283 00:26:06.560 ⇒ 00:26:12.949 Casie Aviles: Yeah, I think that’s pretty much it. We just deployed some dashboard changes as well.
284 00:26:13.720 ⇒ 00:26:22.160 Casie Aviles: And yeah, like, I had the call with Tim, which we basically… aligned on…
285 00:26:22.660 ⇒ 00:26:27.800 Casie Aviles: What we’ll need, so he… we agreed on several things, like being… setting up
286 00:26:28.600 ⇒ 00:26:34.950 Casie Aviles: the environments for, like, staging, dev, and broad environments for Andy, stuff like that, and…
287 00:26:35.120 ⇒ 00:26:37.259 Casie Aviles: API keys that you’ll need, so…
288 00:26:38.320 ⇒ 00:26:43.710 Casie Aviles: Yeah, I also walked them through that. That’s all I have from ABC.
289 00:26:45.080 ⇒ 00:26:49.109 Awaish Kumar: Okay, we are in the process of migrating all to GCP platform.
290 00:26:50.090 ⇒ 00:26:51.150 Casie Aviles: Yes, yes.
291 00:26:52.580 ⇒ 00:26:53.220 Awaish Kumar: Okay.
292 00:26:54.210 ⇒ 00:26:58.009 Awaish Kumar: And, yeah, what about Aiden? You have been working on some analysis?
293 00:26:58.520 ⇒ 00:27:04.689 Casie Aviles: I’ve worked… there’s just one ticket that I worked on yesterday for Eden, which is…
294 00:27:04.880 ⇒ 00:27:07.659 Casie Aviles: The November reconciliation.
295 00:27:07.960 ⇒ 00:27:10.700 Casie Aviles: So, I already have that up for…
296 00:27:10.830 ⇒ 00:27:16.239 Casie Aviles: for review, I think Henry’s talking with someone on Eden’s side already.
297 00:27:17.220 ⇒ 00:27:18.090 Awaish Kumar: Okay. Yeah.
298 00:27:18.910 ⇒ 00:27:24.289 Awaish Kumar: Yeah, and then Gab, do you wanna… Give updates on internal stuff.
299 00:27:25.940 ⇒ 00:27:27.150 Gabriel Lam: Yes.
300 00:27:27.380 ⇒ 00:27:40.929 Gabriel Lam: Okay, main updates from yesterday, Casey and Mustafa, you guys can, provide more detail if you can. The main updates were to migration of,
301 00:27:41.550 ⇒ 00:27:49.129 Gabriel Lam: migration into Maestra, agents into Maestra. Casey, I believe you had… Gotten all the clients.
302 00:27:49.520 ⇒ 00:27:54.820 Gabriel Lam: into Superbase, into a single table, and to move… the…
303 00:27:54.940 ⇒ 00:28:03.269 Gabriel Lam: superbase and variables to Daxter, right, I believe, if you’re able to talk a little more about that. And then I believe you are going to…
304 00:28:03.770 ⇒ 00:28:07.850 Gabriel Lam: handle the channel IDs for Slack today as well.
305 00:28:08.710 ⇒ 00:28:11.400 Casie Aviles: Yes, it was mainly just the Zoom.
306 00:28:11.610 ⇒ 00:28:14.480 Casie Aviles: Zoom loading, so now it should be able to…
307 00:28:14.690 ⇒ 00:28:17.880 Casie Aviles: Dynamically pull from our client’s table.
308 00:28:18.110 ⇒ 00:28:20.919 Casie Aviles: So the only piece left there is Slack.
309 00:28:21.310 ⇒ 00:28:23.840 Casie Aviles: Which I mentioned was a little different.
310 00:28:24.100 ⇒ 00:28:25.699 Casie Aviles: In terms of, like, how it…
311 00:28:26.220 ⇒ 00:28:30.770 Casie Aviles: pulled the client data, so I’m just going to make some changes to…
312 00:28:31.160 ⇒ 00:28:33.780 Casie Aviles: The source table to accommodate that.
313 00:28:35.090 ⇒ 00:28:39.209 Gabriel Lam: Yeah. There’s also a few quality of life updates that I’d like to…
314 00:28:39.370 ⇒ 00:28:42.880 Gabriel Lam: Propose, namely from people who’ve given the feedback.
315 00:28:43.080 ⇒ 00:28:47.120 Gabriel Lam: About the case study assistant.
316 00:28:47.630 ⇒ 00:29:01.840 Gabriel Lam: It’s just a short Slack notification, and since Sam’s not here, I think… I think it’s a pretty small update, given that the notifications exist, just not for completed interviews, so that should be a quick fix.
317 00:29:02.050 ⇒ 00:29:12.620 Gabriel Lam: For myself, I know, Hannah had reached out yesterday, regarding a contextual AI insurance
318 00:29:13.180 ⇒ 00:29:17.840 Gabriel Lam: partnership, Utam, I’m, like, going through the call you had yesterday.
319 00:29:17.840 ⇒ 00:29:18.320 Uttam Kumaran: Cool.
320 00:29:18.320 ⇒ 00:29:19.140 Gabriel Lam: So…
321 00:29:19.140 ⇒ 00:29:22.659 Uttam Kumaran: Maybe give you, like, 2 seconds of context on that, so…
322 00:29:22.740 ⇒ 00:29:41.430 Uttam Kumaran: Yeah, we’re just gonna prioritize creating, like, maybe one or two demos on the contextual platform. So I’ll go ahead and… I’ll go ahead and invite you there, and maybe me and you can basically… we can work on, like, a PRD for, like, you know, what the… basically, like, what,
323 00:29:41.460 ⇒ 00:29:54.389 Uttam Kumaran: a demo could look like, and what the demo flows are, and then add it to our roadmap to develop. So this is something that we’ll be going… building some joint go-to-market efforts with Contextual on, particularly around insurance.
324 00:29:54.390 ⇒ 00:30:13.780 Uttam Kumaran: And so there’s some very, very great use cases. So, all the context is in there, but certainly I would say use the transcript and then work with GPT, because it’ll explain some of the insurance nuances. A couple people on that call were big insurance, so we sort of breezed through some basics, but, yeah, and then maybe we could work on, like.
325 00:30:13.890 ⇒ 00:30:16.310 Uttam Kumaran: I don’t know, I was kind of thinking on, like, what…
326 00:30:16.540 ⇒ 00:30:31.959 Uttam Kumaran: we just can think about scopes for, like, a proof of concept and an MVP for maybe a couple demos. And then Ian, who’s on that call, will be a great person to just immediately get feedback from. He’s super, super responsive, and a friend of mine, so…
327 00:30:32.730 ⇒ 00:30:33.910 Gabriel Lam: Awesome. Okay.
328 00:30:34.330 ⇒ 00:30:37.429 Uttam Kumaran: I think you’ll like the platform, by the way, it’s very, very cool, so…
329 00:30:37.990 ⇒ 00:30:38.750 Gabriel Lam: Awesome.
330 00:30:41.870 ⇒ 00:30:43.489 Gabriel Lam: Yeah, that’s it for the internal.
331 00:30:44.330 ⇒ 00:30:45.180 Awaish Kumar: Yeah.
332 00:30:45.510 ⇒ 00:30:48.840 Awaish Kumar: then I think we are good in terms of, like…
333 00:30:48.970 ⇒ 00:30:51.530 Awaish Kumar: Does anyone have anything you want to bring up?
334 00:30:52.950 ⇒ 00:30:55.900 Awaish Kumar: Any blockers, or any need need?
335 00:30:56.210 ⇒ 00:30:58.650 Awaish Kumar: Any help needed from colleagues?
336 00:30:59.750 ⇒ 00:31:09.569 Uttam Kumaran: Yeah, I guess my only question is, like, if we’re gonna start looping in, maybe I’ll let you decide, Awash, but I think it would be great to start looping in one more person on default.
337 00:31:09.950 ⇒ 00:31:12.260 Uttam Kumaran: And then…
338 00:31:12.470 ⇒ 00:31:22.369 Uttam Kumaran: I think also this week, we can start to determine if we… we need to loop in other folks across, CTA and Element.
339 00:31:24.150 ⇒ 00:31:31.650 Uttam Kumaran: you know, so I know we… me, you, and Clarence talked yesterday, so I’ll let you kind of make a… make the decision there, but it would be great to start to get some…
340 00:31:31.790 ⇒ 00:31:35.440 Uttam Kumaran: some redundancy. So, yeah.
341 00:31:35.610 ⇒ 00:31:43.679 Awaish Kumar: Yeah, I will come up with some… Something today, and discuss.
342 00:31:46.230 ⇒ 00:31:46.860 Uttam Kumaran: Perfect.
343 00:31:47.030 ⇒ 00:31:48.689 Awaish Kumar: Okay, thank you, everyone.
344 00:31:49.850 ⇒ 00:31:50.730 Uttam Kumaran: Thank you!
345 00:31:52.390 ⇒ 00:31:53.260 Gabriel Lam: Thank you.
346 00:31:53.620 ⇒ 00:31:54.310 Gabriel Lam: Bye.
347 00:31:54.890 ⇒ 00:31:55.460 Surf’s iPhone: mate.