Meeting Title: Ellie-Hyp-Readme-Eden-US Standup Date: 2025-10-28 Meeting participants: Robert Tseng, Amber Lin, Awaish Kumar, Uttam Kumaran, Rico Rejoso, Casie Aviles, Samuel Roberts, Mustafa Raja, Demilade Agboola, Zoran Selinger
WEBVTT
1 00:00:13.360 ⇒ 00:00:14.570 Uttam Kumaran: Hello!
2 00:00:20.770 ⇒ 00:00:22.220 Robert Tseng: Hello, good morning!
3 00:00:23.340 ⇒ 00:00:25.350 Uttam Kumaran: Good morning, dude, you’re awfully happy.
4 00:00:26.800 ⇒ 00:00:28.450 Robert Tseng: Am I? -Oh.
5 00:00:31.920 ⇒ 00:00:32.780 Robert Tseng: Bye.
6 00:00:33.490 ⇒ 00:00:36.900 Robert Tseng: I mean, I like it when… I like it when deals are made. What can I say?
7 00:00:38.010 ⇒ 00:00:42.840 Uttam Kumaran: I’m ha- I’m happy, I spent, like, 2 hours in cursor. That’s what makes me happy.
8 00:00:45.870 ⇒ 00:00:47.909 Uttam Kumaran: That isn’t great. I woke up early.
9 00:00:48.280 ⇒ 00:00:48.770 Robert Tseng: Nice.
10 00:00:49.450 ⇒ 00:00:52.109 Uttam Kumaran: banging stuff out.
11 00:00:52.110 ⇒ 00:00:57.920 Robert Tseng: How come you always… how come golden hour impacts you, on the… on the mornings instead of the evenings?
12 00:01:00.030 ⇒ 00:01:02.280 Uttam Kumaran: Maybe she’s, east-facing, right?
13 00:01:02.550 ⇒ 00:01:06.410 Robert Tseng: Oh, is that… okay, that makes sense. I suppose it’s sunrise over there.
14 00:01:06.760 ⇒ 00:01:08.700 Uttam Kumaran: Yeah.
15 00:01:09.000 ⇒ 00:01:15.409 Amber Lin: Yeah, I’m on my balcony, if you’re talking about me, and that’s why my Wi-Fi is a bit choppy, because I have to…
16 00:01:15.410 ⇒ 00:01:15.839 Uttam Kumaran: So it doesn’.
17 00:01:15.840 ⇒ 00:01:18.679 Amber Lin: And the door is very thick.
18 00:01:20.200 ⇒ 00:01:20.780 Robert Tseng: Huh.
19 00:01:21.830 ⇒ 00:01:22.650 Robert Tseng: Okay.
20 00:01:24.070 ⇒ 00:01:28.360 Uttam Kumaran: Cool. Okay, so let’s run through stuff. I think Amber will,
21 00:01:28.590 ⇒ 00:01:39.290 Uttam Kumaran: I’m kind of, like, continuing to iterate on how we run these. Ideally, what we do is, like, we start with kind of the major clients, and then if people… if you’re not on the later clients, you can just drop off.
22 00:01:39.480 ⇒ 00:01:46.940 Uttam Kumaran: I commandeered the last meeting to talk mainly about AI stuff, so we can get to default and ABC
23 00:01:47.090 ⇒ 00:01:53.120 Uttam Kumaran: Later, so let’s start today with, insomnia.
24 00:01:53.900 ⇒ 00:01:57.079 Uttam Kumaran: I guess, Amber, you made a bunch of progress yesterday.
25 00:01:57.220 ⇒ 00:02:00.239 Uttam Kumaran: How do we, like.
26 00:02:00.490 ⇒ 00:02:06.449 Uttam Kumaran: I’ll also… I also have the, sort of, priorities on our side open, but any updates
27 00:02:08.180 ⇒ 00:02:13.859 Uttam Kumaran: on, like, finalizing that analysis and, I guess, delivering something to Robert.
28 00:02:14.740 ⇒ 00:02:20.590 Amber Lin: Yeah, I’m making the draft slides. In order to make This…
29 00:02:23.110 ⇒ 00:02:25.370 Uttam Kumaran: You’re cutting out.
30 00:02:25.660 ⇒ 00:02:26.210 Amber Lin: Sweet.
31 00:02:29.810 ⇒ 00:02:30.450 Amber Lin: But…
32 00:02:30.450 ⇒ 00:02:31.920 Uttam Kumaran: Oh.
33 00:02:31.920 ⇒ 00:02:33.559 Amber Lin: Sorry, let me, let me go in.
34 00:02:33.760 ⇒ 00:02:35.319 Amber Lin: This is… Okay, okay.
35 00:02:37.170 ⇒ 00:02:38.550 Amber Lin: Yeah, let me go outside.
36 00:02:40.460 ⇒ 00:02:47.030 Uttam Kumaran: Yeah, so we have, like, the braze currents work, campaign performance, and the segmentation, and the
37 00:02:47.340 ⇒ 00:02:49.329 Uttam Kumaran: Campaign realization work.
38 00:02:49.950 ⇒ 00:03:07.040 Amber Lin: Yeah, what I was saying was that with what we have right now, I think this analysis is as far as it can go, to make it go further, I have to combine the data sets, that’s one, or to have the current data. So either of those
39 00:03:07.120 ⇒ 00:03:20.990 Amber Lin: will allow me to go further, but so far, I’ve found some interesting stuff. I will, put it in the deck, and then you guys can look at it to see if it’s enough. If we don’t think it’s enough, I can, I can see what we can do more.
40 00:03:22.730 ⇒ 00:03:32.140 Robert Tseng: Yeah, what I would recommend, Amber, is just… just outline your slides. You don’t have to, you don’t have to be, like, you don’t have to fill anything in. Just, like, let me know what’s in there so I can point out what else.
41 00:03:32.140 ⇒ 00:03:36.580 Amber Lin: Yeah. That’s essentially what I have, it’s very… it’s very rough.
42 00:03:36.720 ⇒ 00:03:37.889 Robert Tseng: Okay, great, yeah.
43 00:03:39.240 ⇒ 00:03:42.259 Uttam Kumaran: And that’s, this one, right?
44 00:03:42.660 ⇒ 00:03:47.699 Amber Lin: That’s the campaign portfolio analysis, so that would be…
45 00:03:49.500 ⇒ 00:03:50.560 Uttam Kumaran: Yeah.
46 00:03:50.560 ⇒ 00:03:51.100 Amber Lin: Yeah.
47 00:03:57.800 ⇒ 00:03:59.099 Uttam Kumaran: Where’d it go? Oh.
48 00:04:02.610 ⇒ 00:04:03.950 Uttam Kumaran: Okay.
49 00:04:07.300 ⇒ 00:04:13.180 Uttam Kumaran: Okay, great. I guess the other thing, Sam, could you take a look at the current work? I guess…
50 00:04:14.410 ⇒ 00:04:18.389 Uttam Kumaran: Yeah, we’re doing an architecture review of Insomnia today.
51 00:04:18.510 ⇒ 00:04:26.929 Uttam Kumaran: I think, Sam, could you… do you mind taking a look at the currents integration? Basically, it’s just an ability for us to get Braze data outside… out of the
52 00:04:27.660 ⇒ 00:04:38.379 Uttam Kumaran: out of Brave, Braze, and then I think, naturally, like, I think if we are able to deliver that, that’s a good handoff to Demilade to start thinking about the data models, so…
53 00:04:39.380 ⇒ 00:04:45.670 Uttam Kumaran: If we can deliver… if we can deliver some… something today on that, I mean, I think it should be as simple as.
54 00:04:45.930 ⇒ 00:04:48.690 Uttam Kumaran: Ideally, it’s as simple as configuring,
55 00:04:49.360 ⇒ 00:04:55.099 Uttam Kumaran: What these experts are, and making sure that they’re able to get into Mother Duck is the best.
56 00:04:55.100 ⇒ 00:04:55.660 Samuel Roberts: Yeah.
57 00:04:55.860 ⇒ 00:04:58.179 Uttam Kumaran: And then we have a through line, it’s at their support if we need.
58 00:04:58.860 ⇒ 00:05:00.219 Samuel Roberts: Perfect. Okay, cool.
59 00:05:00.680 ⇒ 00:05:02.770 Uttam Kumaran: Okay, great. And then…
60 00:05:04.820 ⇒ 00:05:18.679 Uttam Kumaran: the other… so we’re meeting on the architecture today, so we should have, like, next steps on that. We had a great architecture review for ABC yesterday, so I think this one will be really good, too. So I think the biggest thing,
61 00:05:18.730 ⇒ 00:05:28.330 Uttam Kumaran: I would say Casey, Sam, and Demolade, if you guys can make sure that the, that architecture diagram has
62 00:05:28.570 ⇒ 00:05:29.610 Uttam Kumaran: is, like.
63 00:05:29.780 ⇒ 00:05:36.410 Uttam Kumaran: prepared. You guys were in the architecture review yesterday. If you can just take a look and make sure that
64 00:05:36.910 ⇒ 00:05:49.310 Uttam Kumaran: like, you can do a little bit of pre-work just to, like, make sure. That way, we only have an hour, and I really don’t think I’m gonna have more time this week to, like, facilitate another one, so I want to make sure this is, like.
65 00:05:49.830 ⇒ 00:05:53.400 Uttam Kumaran: this goes well. If before that, you can just poke at this.
66 00:05:53.680 ⇒ 00:05:56.099 Uttam Kumaran: And make sure that,
67 00:05:56.490 ⇒ 00:06:03.010 Uttam Kumaran: Just walk through each flow, call out anything beforehand, that way, ideally, we can hit the ground running in the architecture review.
68 00:06:03.180 ⇒ 00:06:08.200 Uttam Kumaran: You guys know how we did it yesterday, so we’re gonna be going through the same thing. There’s a lot here.
69 00:06:08.480 ⇒ 00:06:12.969 Uttam Kumaran: So, it’s a lot to cover in an hour, so if you could do a little pre-work there, that’d be great.
70 00:06:14.960 ⇒ 00:06:24.370 Uttam Kumaran: It’s mainly for, I mean, of course Casey, but it’s mainly for Sam, Demolade, and then, Mustafa, if you can take a look as well, that’d be great.
71 00:06:25.560 ⇒ 00:06:25.900 Samuel Roberts: Sounds good.
72 00:06:25.900 ⇒ 00:06:33.300 Uttam Kumaran: It’s… it’s 1245, so, Robert, I’m happy to have you there if you want to join and just listen in. You don’t need to…
73 00:06:34.010 ⇒ 00:06:36.329 Uttam Kumaran: Say anything, but it’s also optional.
74 00:06:36.540 ⇒ 00:06:37.290 Robert Tseng: Okay.
75 00:06:38.450 ⇒ 00:06:45.680 Uttam Kumaran: Okay, cool. Anything else on, Insomnia?
76 00:06:46.150 ⇒ 00:06:47.150 Uttam Kumaran: Robert?
77 00:06:47.530 ⇒ 00:06:48.789 Uttam Kumaran: Since yesterday?
78 00:06:49.430 ⇒ 00:06:54.649 Robert Tseng: No, I think we’re… we’re on track on the right things, so…
79 00:06:54.650 ⇒ 00:06:55.280 Uttam Kumaran: Okay.
80 00:06:55.630 ⇒ 00:06:55.980 Robert Tseng: Yeah.
81 00:06:55.980 ⇒ 00:07:02.679 Uttam Kumaran: I think, Casey, the only thing I mentioned is we… we have approval to execute this analysis.
82 00:07:03.030 ⇒ 00:07:03.750 Casie Aviles: Yes.
83 00:07:03.750 ⇒ 00:07:08.010 Uttam Kumaran: What do you think is, like, the,
84 00:07:08.990 ⇒ 00:07:15.949 Uttam Kumaran: like, what would you say is, like, level of effort here? If you don’t, then I’ll… I can… I would say… I will… I can give you a time box.
85 00:07:16.320 ⇒ 00:07:20.230 Uttam Kumaran: And you can work within that.
86 00:07:22.010 ⇒ 00:07:24.770 Casie Aviles: Yeah, sure, so I think I’ll need Nick.
87 00:07:24.990 ⇒ 00:07:27.010 Casie Aviles: Probably 3 points worth.
88 00:07:27.820 ⇒ 00:07:28.450 Uttam Kumaran: Okay.
89 00:07:29.870 ⇒ 00:07:36.149 Uttam Kumaran: And the other kind of thing I would say is, if we go to analysis…
90 00:07:44.440 ⇒ 00:07:48.219 Uttam Kumaran: Rico, is there… did we have, like, an analysis output doc?
91 00:07:53.740 ⇒ 00:07:55.729 Uttam Kumaran: Oh, just the outline, I think.
92 00:07:56.200 ⇒ 00:07:58.460 Uttam Kumaran: Okay, yeah, I think…
93 00:08:07.370 ⇒ 00:08:12.630 Uttam Kumaran: Okay, we, I mean, we might as well, like, Robert, what do you think about, like, for an analysis like this.
94 00:08:13.900 ⇒ 00:08:24.089 Uttam Kumaran: what would you expect? Just, like, a SQL notebook with, like, findings? I mean, I would… my recommendation is we just basically… I’ll add another section to the outline that’s, like.
95 00:08:24.410 ⇒ 00:08:25.620 Uttam Kumaran: the results.
96 00:08:26.050 ⇒ 00:08:26.730 Robert Tseng: Yeah.
97 00:08:27.240 ⇒ 00:08:31.319 Robert Tseng: Yeah, I think the SQL notebook for now is fine. Like, I don’t really think we…
98 00:08:32.260 ⇒ 00:08:36.259 Robert Tseng: Well, I mean, we’re just trying to… To me, this is like…
99 00:08:36.260 ⇒ 00:08:40.829 Uttam Kumaran: Deck building… the deck building multiple people can do, but I really want to have, like.
100 00:08:40.990 ⇒ 00:08:44.730 Uttam Kumaran: show your work through SQL findings for you to.
101 00:08:44.730 ⇒ 00:08:45.070 Robert Tseng: Yeah, there’s.
102 00:08:45.070 ⇒ 00:08:45.880 Uttam Kumaran: It doesn’t be exactly…
103 00:08:45.880 ⇒ 00:08:56.020 Robert Tseng: this one. I think this is just for us to get early signal on what else we’re not looking at right now. That’s… but I don’t really know how he’s gonna pull in the other variables if we don’t have the current setup, so…
104 00:08:56.980 ⇒ 00:09:02.769 Uttam Kumaran: Yeah, so we’ll see today. I think, I mean, the biggest thing, I think, Casey, is for you to, one, just, like.
105 00:09:03.430 ⇒ 00:09:14.390 Uttam Kumaran: figure out how you’re gonna run this analysis, and then if you can flag what data you’re missing, then as soon as Sam can deliver that, you can execute. So, I still want you to try to make some, like.
106 00:09:14.490 ⇒ 00:09:15.780 Uttam Kumaran: progress here.
107 00:09:16.000 ⇒ 00:09:21.790 Uttam Kumaran: And sort of see where you… see where you stop. This would be a big win for us to get done this week.
108 00:09:22.130 ⇒ 00:09:25.649 Uttam Kumaran: I’d like us to see something by tomorrow, if possible.
109 00:09:27.070 ⇒ 00:09:27.740 Casie Aviles: Okay.
110 00:09:28.410 ⇒ 00:09:29.790 Casie Aviles: Yeah, I’ll work on this first.
111 00:09:29.790 ⇒ 00:09:31.150 Uttam Kumaran: So that we can give feedback.
112 00:09:42.760 ⇒ 00:09:54.059 Uttam Kumaran: Can I ask… can I talk about the SQL notebook? So, Amber, you’re saving… your stuff is in a Mother Duck notebook. Is… are those shareable? Like, should we think about another environment to, like, share…
113 00:09:54.250 ⇒ 00:09:56.800 Uttam Kumaran: Our work for this type of stuff.
114 00:09:58.110 ⇒ 00:10:12.929 Amber Lin: Yeah, my… yesterday, I did it in a Python notebook, which is in cursor, and I can share it after I download it. I think the same with Mother Duck, so we don’t have a live sharing environment yet.
115 00:10:13.230 ⇒ 00:10:17.560 Uttam Kumaran: And then, when you’re doing it in cursor, you’re using the Mother Duck CLI to query?
116 00:10:17.820 ⇒ 00:10:22.089 Amber Lin: No, I’m using Python yesterday, so I don’t…
117 00:10:22.090 ⇒ 00:10:24.910 Uttam Kumaran: No, no, but how is it… how is it querying the database?
118 00:10:24.910 ⇒ 00:10:26.390 Amber Lin: I download the data.
119 00:10:27.710 ⇒ 00:10:29.679 Uttam Kumaran: Oh, ask that, dude. Why are you doing that?
120 00:10:29.680 ⇒ 00:10:33.039 Amber Lin: I don’t know how to connect it, exactly.
121 00:10:33.040 ⇒ 00:10:36.149 Uttam Kumaran: I know, you gotta… you gotta call… you gotta send a message, dude.
122 00:10:36.260 ⇒ 00:10:40.409 Uttam Kumaran: Okay, send a note. Someone will tell you how to do…
123 00:10:40.430 ⇒ 00:10:41.999 Demilade Agboola: That’s way easier.
124 00:10:42.590 ⇒ 00:10:44.370 Demilade Agboola: Where do you download the data from?
125 00:10:44.770 ⇒ 00:10:46.389 Amber Lin: From Mother Duck.
126 00:10:46.850 ⇒ 00:10:47.910 Demilade Agboola: Oh…
127 00:10:48.290 ⇒ 00:10:51.130 Amber Lin: And… and then some from Graze.
128 00:10:52.100 ⇒ 00:11:02.789 Uttam Kumaran: What was the advice I gave last week? Ask questions. This is really the theme of this week. If you don’t know what you’re doing, please ask questions, because I’m telling you, there’s someone here, so…
129 00:11:03.670 ⇒ 00:11:17.989 Uttam Kumaran: Can you send a couple of questions, Amber, in the thing about how to do what you’re doing? So, a couple things. I think, Demolade and Awash, you guys are on, so I think, we should probably have the team
130 00:11:18.150 ⇒ 00:11:26.100 Uttam Kumaran: just do notebooks in a repo, and that way, when they finalize work, they can just push a PR with a notebook.
131 00:11:26.390 ⇒ 00:11:28.360 Uttam Kumaran: Like, do you think that’s fair?
132 00:11:29.030 ⇒ 00:11:31.630 Awaish Kumar: Yes, I think that will work.
133 00:11:32.320 ⇒ 00:11:42.350 Uttam Kumaran: Okay, so I think the recommendation here, Amber, for this work is we’ll need to create a repo for insomnia sort of analysis. That’ll be pretty easy.
134 00:11:42.510 ⇒ 00:11:51.879 Uttam Kumaran: I want you to work on connecting MotherDuck via the CLI so that you’re not downloading data. It’ll just issue queries directly to MotherDuck and pull it back.
135 00:11:52.150 ⇒ 00:12:00.600 Uttam Kumaran: And then if you can push a PR with this. So those are all things that you can work on with someone on the team just today. And, like, that’s gonna be… that’s the outcome.
136 00:12:01.340 ⇒ 00:12:09.239 Awaish Kumar: Can I suggest having those notebooks in a data platform repo, so that we can even build helper functions?
137 00:12:09.680 ⇒ 00:12:22.660 Awaish Kumar: For a team member to use, like, if you want to get data from WeatherDuck, just use this function. For Snowflake, use this, and just send the query. And then all the… under the hood, how it disconnects, how it gets data.
138 00:12:22.800 ⇒ 00:12:25.069 Awaish Kumar: We can just build those wrappers.
139 00:12:26.910 ⇒ 00:12:28.980 Uttam Kumaran: Okay, I’m fine for now, I mean…
140 00:12:29.080 ⇒ 00:12:35.279 Uttam Kumaran: Later, it’ll… we’ll need to isolate somehow, where you’ll need to build, basically, like, packages.
141 00:12:35.520 ⇒ 00:12:40.819 Uttam Kumaran: For those, that can get reused across other repos, because we’re not going to be able to have all client stuff in one place.
142 00:12:41.120 ⇒ 00:12:53.079 Uttam Kumaran: But I don’t mind, yeah, you can use a data platform one and just create… so I wish, like, I guess if you can enable Amber to do these, that’d be great, but Amber, everybody on the team should be able to help you with each of those, so…
143 00:12:53.080 ⇒ 00:12:56.950 Amber Lin: Yeah, awesome, let me know when the repo is done, and I’ll grab time.
144 00:12:56.950 ⇒ 00:13:00.340 Uttam Kumaran: No, you need… you need to create it, yeah. You could do all those things.
145 00:13:00.340 ⇒ 00:13:03.749 Amber Lin: Okay, I will grab time after the meeting.
146 00:13:03.960 ⇒ 00:13:11.969 Amber Lin: No, no, just Google how to do it. I’m telling you. Just Google how to do it. You’re already using cursor, you’re already running analysis. Creating a repo is the easiest of the things that you’re doing.
147 00:13:11.970 ⇒ 00:13:13.039 Awaish Kumar: We’re gonna be fair, right?
148 00:13:13.040 ⇒ 00:13:16.169 Demilade Agboola: Does Amber have access to our, like, the GitHub?
149 00:13:16.880 ⇒ 00:13:17.240 Uttam Kumaran: Yeah.
150 00:13:17.240 ⇒ 00:13:18.399 Amber Lin: I think so, yeah.
151 00:13:19.020 ⇒ 00:13:25.159 Uttam Kumaran: So if we can just make sure that she has the data platform access, and then if someone can just walk her through how to, like.
152 00:13:25.560 ⇒ 00:13:28.019 Awaish Kumar: create… create a PR with her notebook.
153 00:13:28.050 ⇒ 00:13:36.990 Uttam Kumaran: And then in that PR, as long as you can make… can you just make sure that she’s… she’s… she’s not uploading data there? Instead that…
154 00:13:37.220 ⇒ 00:13:39.760 Uttam Kumaran: there’s just a hook into the Motherdeck CLI.
155 00:13:40.010 ⇒ 00:13:42.470 Uttam Kumaran: That’s ideal.
156 00:13:43.250 ⇒ 00:13:44.349 Awaish Kumar: San Diego.
157 00:13:44.990 ⇒ 00:13:50.709 Uttam Kumaran: So that’s, like, what I want to see is the output, because having someone download that notebook and do it is going to be, like, it’s too much, so…
158 00:13:51.290 ⇒ 00:13:58.149 Uttam Kumaran: Okay, so I feel good about stuff so far. Let’s talk about, pipe.
159 00:13:58.290 ⇒ 00:14:04.469 Uttam Kumaran: I guess, Awake, are you spending any time today on hype stuff?
160 00:14:05.320 ⇒ 00:14:06.010 Awaish Kumar: Chancellor…
161 00:14:06.010 ⇒ 00:14:07.060 Uttam Kumaran: review.
162 00:14:07.060 ⇒ 00:14:13.900 Awaish Kumar: Today, I mainly spend time on Korean, so today I will be working on, Yeah, hype.
163 00:14:15.030 ⇒ 00:14:15.640 Uttam Kumaran: Okay.
164 00:14:15.760 ⇒ 00:14:22.359 Uttam Kumaran: So I think the biggest thing for… For hype this week…
165 00:14:22.690 ⇒ 00:14:25.550 Uttam Kumaran: Is we want to do…
166 00:14:25.710 ⇒ 00:14:28.819 Uttam Kumaran: validations between Healthy and Stripe.
167 00:14:29.270 ⇒ 00:14:34.590 Uttam Kumaran: So that’s gonna be important. Let me just pull up,
168 00:14:37.240 ⇒ 00:14:39.980 Uttam Kumaran: James, this over here, he doesn’t have the objectives.
169 00:14:48.160 ⇒ 00:14:51.299 Uttam Kumaran: Okay, yeah, so we’re gonna want to do the,
170 00:14:52.480 ⇒ 00:14:55.019 Uttam Kumaran: the integration between Healthy and Stripe.
171 00:14:55.130 ⇒ 00:14:57.790 Uttam Kumaran: We want to break out the,
172 00:14:59.080 ⇒ 00:15:01.950 Uttam Kumaran: The new patient and existing patient.
173 00:15:02.180 ⇒ 00:15:02.730 Awaish Kumar: Yes.
174 00:15:02.730 ⇒ 00:15:09.229 Uttam Kumaran: So I’m gonna find that one… This one moves in cycle…
175 00:15:18.390 ⇒ 00:15:19.740 Uttam Kumaran: Which word?
176 00:15:27.530 ⇒ 00:15:28.460 Uttam Kumaran: Okay.
177 00:15:28.700 ⇒ 00:15:31.510 Uttam Kumaran: Rico, when we create new tickets.
178 00:15:31.890 ⇒ 00:15:35.130 Uttam Kumaran: Please just, just create them in requirements.
179 00:15:35.290 ⇒ 00:15:41.850 Uttam Kumaran: started. That way, they don’t end up in the backlog. It’s hard for me to understand, like, which ones we just recently created.
180 00:15:42.240 ⇒ 00:15:47.929 Uttam Kumaran: So… I’m trying to see which one we recently did.
181 00:15:49.210 ⇒ 00:15:51.889 Uttam Kumaran: Oh, this is an existing patient flow.
182 00:15:53.590 ⇒ 00:15:58.890 Uttam Kumaran: This is Don…
183 00:16:17.290 ⇒ 00:16:19.570 Rico Rejoso: From 27th to 41.
184 00:16:20.540 ⇒ 00:16:22.229 Uttam Kumaran: Okay, okay, great, thank you.
185 00:16:22.580 ⇒ 00:16:26.430 Uttam Kumaran: So, I want to have new patients. Okay, so this is a…
186 00:16:29.920 ⇒ 00:16:30.670 Uttam Kumaran: Great.
187 00:16:31.050 ⇒ 00:16:36.830 Uttam Kumaran: Okay, so these are the ones that we want to try to make progress on this week.
188 00:16:37.240 ⇒ 00:16:43.309 Uttam Kumaran: So, Awash, if you can take a look at these…
189 00:16:44.720 ⇒ 00:16:56.549 Uttam Kumaran: take a look at some of the stuff that’s in Requirements Started, and then if you take a look at some of the ones that are in cycle here, I guess my… my feedback is, like, I would suggest watching that call.
190 00:16:57.080 ⇒ 00:16:59.850 Uttam Kumaran: That I did with… with the team yet last week.
191 00:16:59.980 ⇒ 00:17:10.189 Uttam Kumaran: It’ll give you context. Basically, we’re gonna break up into 3 different flows, new patient, existing patient, and then the within the visit. That’s, like, the E&M.
192 00:17:10.460 ⇒ 00:17:11.359 Uttam Kumaran: Thing.
193 00:17:11.609 ⇒ 00:17:14.879 Uttam Kumaran: And then they gave some feedback on the flows yesterday.
194 00:17:15.250 ⇒ 00:17:23.099 Uttam Kumaran: So the two big outcomes is, one, I think on Wednesday, we want to just do another, like, flow process for new patient.
195 00:17:23.329 ⇒ 00:17:29.159 Uttam Kumaran: So this is the most… this is the most urgent one, and then I want to be able to test out Healthy with Stripe.
196 00:17:29.570 ⇒ 00:17:35.100 Uttam Kumaran: And then, is there any other, like, healthy stuff?
197 00:17:37.740 ⇒ 00:17:39.389 Awaish Kumar: with new information.
198 00:17:47.020 ⇒ 00:17:49.680 Uttam Kumaran: The… the call will make sense… more.
199 00:17:51.010 ⇒ 00:17:52.500 Awaish Kumar: Correct.
200 00:17:52.550 ⇒ 00:17:55.219 Uttam Kumaran: Okay, so this one is done…
201 00:17:58.710 ⇒ 00:18:07.129 Uttam Kumaran: Yeah, so if you can work on that, and then I just… if you can poke around at Healthy, test the Stripe integration. The other integrations to test are the Healthy Forms.
202 00:18:08.400 ⇒ 00:18:09.080 Uttam Kumaran: Right.
203 00:18:09.720 ⇒ 00:18:21.330 Uttam Kumaran: And then the, healthy, what’s it called? The,
204 00:18:22.040 ⇒ 00:18:24.489 Uttam Kumaran: Healthy and, like, paragon, right?
205 00:18:28.600 ⇒ 00:18:34.919 Uttam Kumaran: Great. Okay, cool. So yeah, so yeah, I would say these two are really important to get done by Thursday. That’s when our meeting is.
206 00:18:35.910 ⇒ 00:18:39.370 Uttam Kumaran: So… Okay.
207 00:18:39.470 ⇒ 00:18:40.330 Uttam Kumaran: Great.
208 00:18:40.440 ⇒ 00:18:44.569 Uttam Kumaran: Let’s talk about, Eden.
209 00:18:45.100 ⇒ 00:18:51.459 Uttam Kumaran: Anything… We want to discuss, yeah.
210 00:18:52.680 ⇒ 00:19:00.730 Awaish Kumar: So yesterday, I was, hand it… hand it over to create that Dexter pipeline.
211 00:19:01.140 ⇒ 00:19:03.470 Awaish Kumar: For Catalyst.
212 00:19:04.250 ⇒ 00:19:04.850 Uttam Kumaran: Okay.
213 00:19:05.270 ⇒ 00:19:08.339 Awaish Kumar: From Henry, and I just implemented that.
214 00:19:08.460 ⇒ 00:19:17.850 Awaish Kumar: So that pipeline is done. I was in a call with Rion, just before this, and… we discussed
215 00:19:18.000 ⇒ 00:19:20.899 Awaish Kumar: The pipeline is working, but the model which
216 00:19:21.320 ⇒ 00:19:26.000 Awaish Kumar: which is created to get the successful order for Catalyst,
217 00:19:26.310 ⇒ 00:19:30.720 Awaish Kumar: is basically not working as expected, so I will be
218 00:19:30.940 ⇒ 00:19:34.709 Awaish Kumar: I’m working on that right now, because we need to finish it today.
219 00:19:35.050 ⇒ 00:19:41.760 Awaish Kumar: So, I will finalize it today. So, all the Catalyst server-side stuff, we’ll be done today.
220 00:19:42.660 ⇒ 00:19:43.729 Uttam Kumaran: That’s this one.
221 00:19:45.220 ⇒ 00:19:46.060 Uttam Kumaran: Oh, that’s this one.
222 00:19:46.310 ⇒ 00:19:49.480 Awaish Kumar: Yeah, this one is, but I’ve… working on.
223 00:19:50.630 ⇒ 00:19:53.580 Uttam Kumaran: Okay, and are you owning, like, communicating that in the channel?
224 00:19:55.220 ⇒ 00:20:00.069 Awaish Kumar: Yeah, I was just added today, for stand-up.
225 00:20:00.280 ⇒ 00:20:08.830 Awaish Kumar: So… This is the first time I’ve met with, with the team for Catalyst stuff, so, yeah.
226 00:20:11.540 ⇒ 00:20:12.210 Uttam Kumaran: Okay.
227 00:20:15.030 ⇒ 00:20:15.840 Uttam Kumaran: Okay.
228 00:20:17.580 ⇒ 00:20:19.340 Uttam Kumaran: It seems to be continuing.
229 00:20:20.180 ⇒ 00:20:22.210 Uttam Kumaran: But, okay.
230 00:20:22.210 ⇒ 00:20:22.750 Awaish Kumar: Yeah, bud.
231 00:20:23.160 ⇒ 00:20:28.779 Awaish Kumar: From the server side, it will be done today, and there’s one change I think they suggested on,
232 00:20:29.140 ⇒ 00:20:33.190 Awaish Kumar: from Zoran as well, so I don’t know how, when it’ll be done.
233 00:20:35.250 ⇒ 00:20:39.800 Awaish Kumar: But hoping to get… they were hoping to get it done by, like, tomorrow.
234 00:20:40.170 ⇒ 00:20:40.660 Awaish Kumar: Mr.
235 00:20:40.660 ⇒ 00:20:41.190 Uttam Kumaran: Okay.
236 00:20:42.280 ⇒ 00:20:42.870 Zoran Selinger: Yeah, so…
237 00:20:42.870 ⇒ 00:20:43.600 Uttam Kumaran: And then…
238 00:20:43.600 ⇒ 00:20:56.030 Zoran Selinger: updating some triggers in GTM as well for this today, because we want to really limit firing of the catalyst triggers to only catalyst visits.
239 00:20:57.710 ⇒ 00:21:01.910 Zoran Selinger: So I’m gonna be working on that for, right after this call.
240 00:21:02.870 ⇒ 00:21:07.430 Zoran Selinger: That’s just one point, will be enough, there.
241 00:21:07.730 ⇒ 00:21:24.089 Zoran Selinger: Okay. Then around, we’ll… we’ll review, test a couple of more times, and yeah, I think we… today, we’ll… we’ll be done with this, as long as… as long as Aveesh finishes his part,
242 00:21:24.410 ⇒ 00:21:29.160 Zoran Selinger: Yeah, we’ll be… will be done on both the client and the server side.
243 00:21:30.110 ⇒ 00:21:30.810 Uttam Kumaran: Okay.
244 00:21:36.890 ⇒ 00:21:41.730 Uttam Kumaran: Okay, great. Any other updates?
245 00:21:43.180 ⇒ 00:21:52.059 Demilade Agboola: So I… We’ll be working on some of the refunds modeling for Henry’s task.
246 00:21:52.440 ⇒ 00:21:57.019 Demilade Agboola: Apparently, he needs it in a different, slightly different structure, so I will work on that today.
247 00:21:57.160 ⇒ 00:22:03.790 Demilade Agboola: Okay. Also, the reconciliation of the affiliate conversions, I should be done with that today as well.
248 00:22:04.920 ⇒ 00:22:05.510 Uttam Kumaran: Okay.
249 00:22:07.450 ⇒ 00:22:10.220 Awaish Kumar: I just want to discuss about that message.
250 00:22:10.440 ⇒ 00:22:13.900 Awaish Kumar: Robert and you sent in the Slack channel regarding notary.
251 00:22:14.570 ⇒ 00:22:15.160 Uttam Kumaran: Yeah.
252 00:22:16.500 ⇒ 00:22:16.890 Awaish Kumar: No shot.
253 00:22:16.890 ⇒ 00:22:18.620 Uttam Kumaran: Yeah, go ahead.
254 00:22:20.140 ⇒ 00:22:27.359 Uttam Kumaran: Yeah, I mean, Robert, we discussed next week for North Beam stuff. If we have this stuff closed, then I can have Zoran take it this week.
255 00:22:27.930 ⇒ 00:22:33.729 Robert Tseng: Yeah. Well, so, I mean, I just got off a call with the Eden guys again, and this is… this is top of mind, like…
256 00:22:33.990 ⇒ 00:22:38.580 Robert Tseng: they’re kind of rushing into purchasing another vendor, and so I want to just, like.
257 00:22:39.000 ⇒ 00:22:42.350 Robert Tseng: Give them, like, we… give them an answer on…
258 00:22:42.560 ⇒ 00:22:55.329 Robert Tseng: Are we going to be able to make it work with Northbeam or not? Like, I feel like our team is still divided on this. Oasis saying we can send data to Northbeam, Henry’s saying it’s not possible, Eden guys are just like, you know.
259 00:22:55.330 ⇒ 00:23:02.689 Uttam Kumaran: I don’t know, I thought yes… no, yesterday we talked about it’s totally possible. Basically, what we found is that we can’t…
260 00:23:02.830 ⇒ 00:23:09.629 Uttam Kumaran: the existing thing that’s sending the North Beam, we don’t have ownership of, so we need to deprecate, and then Zoron is gonna move.
261 00:23:09.630 ⇒ 00:23:24.770 Robert Tseng: Yeah, and apparently that’s sending PII data to Northbeam, which is not great. We have to shut that off, which is why… I mean, I got a message from their… from their email from their legal team saying that patient data is being exposed in Northbeam, which I don’t even know how they found that, but… yeah.
262 00:23:24.770 ⇒ 00:23:34.589 Uttam Kumaran: But I… I don’t… I’m not familiar with Henry saying that that’s not possible. Like, both, I guess, Awash and Zoran, like, what’s the challenge there? I… yeah.
263 00:23:34.750 ⇒ 00:23:36.160 Uttam Kumaran: So first I heard of that.
264 00:23:38.710 ⇒ 00:23:50.920 Zoran Selinger: So, yeah, so I don’t know about the PII. We still don’t exactly know where the… where the API calls are coming from.
265 00:23:50.920 ⇒ 00:23:55.980 Uttam Kumaran: Yeah, I don’t wanna… yeah, I’m fine with that. I guess my point is, like, are we confident that
266 00:23:56.730 ⇒ 00:23:58.820 Uttam Kumaran: But when we moved to server-side.
267 00:23:59.240 ⇒ 00:24:06.140 Uttam Kumaran: like, we’re gonna achieve what we want. And I didn’t know that there’s still reservations on that. We talked about this yesterday, I feel like it’s totally possible.
268 00:24:07.420 ⇒ 00:24:17.580 Zoran Selinger: there are definitely reservations in terms of server-side for NordBeam, and you maybe can see my last message on Slack.
269 00:24:17.990 ⇒ 00:24:28.450 Zoran Selinger: So, my problem with this is normally… the only endpoint that we can use is for the orders, and we cannot use it for touchpoints.
270 00:24:28.970 ⇒ 00:24:30.960 Zoran Selinger: There’s no…
271 00:24:30.960 ⇒ 00:24:54.309 Zoran Selinger: upserting of touchpoints via the API. So we are fully reliant on the client side, on the pixel, even though it is a first-party pixel, and who knows what’s going to happen in 6 months with tracking prevention when we’re relying on the client. So I don’t really have a capability of sending an API call from the edge.
272 00:24:54.610 ⇒ 00:24:59.349 Zoran Selinger: That will say, okay, there’s been a visit from this and this traffic source.
273 00:25:00.950 ⇒ 00:25:04.439 Zoran Selinger: I can only do this once an order happens.
274 00:25:04.440 ⇒ 00:25:16.770 Robert Tseng: Tom, they call this view-through attribution. So, like, we can’t figure out customers that viewed an ad on Meta and then convert on Google. That’s… that’s Eden Cutter on Google.
275 00:25:16.770 ⇒ 00:25:17.090 Uttam Kumaran: Yeah.
276 00:25:17.090 ⇒ 00:25:28.679 Robert Tseng: thinks that that’s happening, but we can’t… we can’t tell that story with… with Northbeam, because it’ll just show up as a conversion in Google, and there’s no way that… they just don’t take any other data other than conversion data.
277 00:25:30.540 ⇒ 00:25:31.270 Uttam Kumaran: Okay.
278 00:25:33.170 ⇒ 00:25:35.560 Robert Tseng: I don’t know what the team was agreeing on here, yeah.
279 00:25:35.750 ⇒ 00:25:45.080 Zoran Selinger: The pixel itself, it does collect these other data, pages and sessions in the background, but it’s… we cannot do it with an API.
280 00:25:45.470 ⇒ 00:25:46.070 Zoran Selinger: Okay.
281 00:25:46.070 ⇒ 00:25:48.409 Uttam Kumaran: So what’s your… so what’s the recommendation?
282 00:25:49.400 ⇒ 00:25:53.670 Uttam Kumaran: Like, is there another tool you’re recommending, or what, like, what’s the recommendation?
283 00:25:54.280 ⇒ 00:25:59.770 Robert Tseng: I don’t think we know if there’s another tool right now. I think that’s what we’re… Eden has scoped out their own
284 00:25:59.790 ⇒ 00:26:19.459 Robert Tseng: Segment has offered another partner. I’m talking to them later this week. But yeah, we’re basically trying to see what vendors can actually support what we’re looking for. Or, like, do we just build it ourselves? Like, we already are doing attribution stitching into the warehouse. The edge layer is feeding everything into BigQuery, so we could technically just
285 00:26:19.670 ⇒ 00:26:33.179 Robert Tseng: We don’t really… do we even need a tool? Don’t we just… don’t we just, like, send… send this data to the ad platforms ourselves, or, like, build our own attribution model? Which, you know, yeah, like, I think that there… there’s a lift there to build.
286 00:26:36.910 ⇒ 00:26:40.110 Uttam Kumaran: Okay, so we want, like, a decision on that, like, this week?
287 00:26:40.110 ⇒ 00:26:40.580 Robert Tseng: Yeah, this week.
288 00:26:40.580 ⇒ 00:26:48.829 Uttam Kumaran: Yeah, I mean, I don’t know. I just, like, don’t think we should build this. I feel like Northbeam is the best in class here.
289 00:26:48.950 ⇒ 00:26:55.920 Uttam Kumaran: it’s either North Beam or Triple Whale that’s usually, like, best in class here. So, I would be surprised, like.
290 00:26:56.690 ⇒ 00:26:57.320 Uttam Kumaran: I… I…
291 00:26:57.320 ⇒ 00:27:06.080 Robert Tseng: Well, our team’s jumped on, like, multiple calls with Northgame, so that’s why I’m surprised that we haven’t, like, gotten to the root of, like, seeing Northam actually doing what we want.
292 00:27:06.420 ⇒ 00:27:13.859 Uttam Kumaran: But I guess what I’m hearing, Zoran, is that you just don’t trust their client-side pixel. I’m saying, what is the alternative?
293 00:27:14.670 ⇒ 00:27:15.819 Zoran Selinger: Oh, so…
294 00:27:16.340 ⇒ 00:27:30.500 Zoran Selinger: the trust here. So, they, they have this, they have this, target of, you know, 95% attributable, you know, visits and, and all that. And what happens when, when, you know.
295 00:27:30.500 ⇒ 00:27:50.249 Zoran Selinger: first party isn’t… isn’t… is no longer a first party. There’s even stricter… So, I’ll give you an example. So, I don’t know, a year ago, a year ago, we had a… we had a thing where, okay, you host the server-side GTM on your own subdomain.
296 00:27:50.370 ⇒ 00:28:05.660 Zoran Selinger: Right? And that’s your… that’s your first party, it’s not limited by anything. Now, they started checking the underlying, like, DNS records, underlying IP addresses, and if it’s not the same IP, if it’s not the same subset, right?
297 00:28:06.480 ⇒ 00:28:07.640 Uttam Kumaran: Yeah, yeah, yeah.
298 00:28:07.640 ⇒ 00:28:17.770 Zoran Selinger: they… they start limiting you. So what happens in 6 months, when it becomes… it starts becoming even stricter and stricter? I don’t know what’s gonna happen there.
299 00:28:17.770 ⇒ 00:28:23.070 Uttam Kumaran: Well, why don’t you do both? Why don’t do both, and then layer it on, and then you just choose?
300 00:28:23.440 ⇒ 00:28:29.269 Uttam Kumaran: But, like, basically, it’s like, I don’t know whether there’s a better alternative than Northbeam on the market.
301 00:28:30.510 ⇒ 00:28:37.320 Uttam Kumaran: But if your suggestion is to also do it ourselves, then we should do both, and then you… you can just layer it on.
302 00:28:40.280 ⇒ 00:28:53.399 Uttam Kumaran: Yeah, I mean, Wicked Report, whatever we decide, I think you’re gonna have the same problem, Awash, is that… what Zoran is saying, but this is what I’m saying, like, we can’t go to a client… I don’t really want to build an attribution system. It’s, like, a lot of work.
303 00:28:53.650 ⇒ 00:28:58.369 Uttam Kumaran: So I would rather us go with Northbeam, and then also do that, if we want to do that, and…
304 00:28:58.500 ⇒ 00:29:02.570 Uttam Kumaran: show the benefit, like, I don’t know, but… it’s gonna take a long time.
305 00:29:04.710 ⇒ 00:29:11.570 Awaish Kumar: Yeah, Stuart, like, just called me, and he was proposing this tool, WickedReport.
306 00:29:11.820 ⇒ 00:29:23.310 Awaish Kumar: And he said, like, the kind of things which Zoran is mentioning, like, he can’t make API calls for first-party pigs or things like that, that’s possible in that tool.
307 00:29:25.740 ⇒ 00:29:44.880 Robert Tseng: Well, I don’t believe anything Stuart says until we validate it. He… every tool that has been, like, a shitshow has come from him. Catalysts, like, all this stuff. Like, it’s just… he has no idea what he’s talking about. So, we… I mean, we could talk to Wicked Reports, but their website doesn’t even work. They just look like some janky.
308 00:29:44.880 ⇒ 00:29:46.629 Uttam Kumaran: No, it’s a BI tool.
309 00:29:46.630 ⇒ 00:30:00.470 Robert Tseng: Like, the incremental… like, they use incremental, I don’t know how much money they’re paying to them, it literally does nothing, doesn’t tell you anything about incremental sales. So, like, I don’t… it’s just… I don’t trust him, but I understand the problem. The problem is just…
310 00:30:00.470 ⇒ 00:30:02.059 Uttam Kumaran: So who are you talking to, Robert?
311 00:30:02.060 ⇒ 00:30:12.269 Robert Tseng: Who am I talking to? They’re called… they’re called attribution.app. It… the founder is… he… he was, he was the founder of Mammoth Growth, which is,
312 00:30:12.630 ⇒ 00:30:13.180 Uttam Kumaran: Yeah, yeah.
313 00:30:13.180 ⇒ 00:30:32.860 Robert Tseng: agency that I’ve… I’ve tried to work with before, so… I… I mean, I feel like he… I’m just gonna… I got an intro to him, so, I mean, I want to ask him about a couple things, but I want to see if his tool has… if they’ve really thought about this problem. Because if they’re working on it, then, yeah, I don’t… I can… I can push… we… we can… I’d rather… I’d rather…
314 00:30:32.860 ⇒ 00:30:33.320 Uttam Kumaran: We…
315 00:30:33.320 ⇒ 00:30:34.270 Robert Tseng: Bye, yeah.
316 00:30:34.660 ⇒ 00:30:40.109 Uttam Kumaran: We asked, we asked… so, you asked Northbeam if they can do this, and they said no.
317 00:30:41.760 ⇒ 00:30:50.180 Zoran Selinger: Correct, yes. So they… they fully depend on the pixel. Pixel needs to… needs to fire,
318 00:30:51.080 ⇒ 00:30:59.219 Zoran Selinger: When it comes to the touchpoints, right? Which is the main problem of the attribution, right?
319 00:30:59.220 ⇒ 00:31:07.010 Uttam Kumaran: I know, but I guess my… my… I guess, let me ask a question. If we go to Attribution App and Triple Whale, and the answer is the same, what is the decision?
320 00:31:12.290 ⇒ 00:31:23.289 Zoran Selinger: Well, the only… then… the only other question is, do we want to build it? If we don’t want to build it, we can absolutely stay with… with NordBeam, because,
321 00:31:23.860 ⇒ 00:31:26.020 Zoran Selinger: The coverage is really good.
322 00:31:26.360 ⇒ 00:31:34.580 Zoran Selinger: We are close to the, you know, the implementation targets at, what, 95-96%. That’s really good right now.
323 00:31:35.380 ⇒ 00:31:39.280 Zoran Selinger: Again, I don’t know what’s gonna happen in a year with this.
324 00:31:39.990 ⇒ 00:31:58.949 Uttam Kumaran: Okay, so then my suggestion is, like, at this point, if nothing changes, Robert, based on your conversation, I’ll call Triple Whale, we could do the same thing. Then the plan is to do North Beam, and then we have to scope out, like, what building this looks like. Like, I can’t… I don’t know what the impact, like, the timing and, like, how much work that is.
325 00:31:59.440 ⇒ 00:32:04.699 Uttam Kumaran: But my suggestion is to do that, like, in addition to Northbeam.
326 00:32:04.830 ⇒ 00:32:07.069 Uttam Kumaran: if… and then… but I need to understand, like.
327 00:32:07.330 ⇒ 00:32:24.359 Uttam Kumaran: what is that gonna impact? Like, if… I already know with Northbeam, you’re gonna get pretty high coverage, they already do, like, a bunch of great… they’re the North… they’re the best people in this field, so that would be my plan. So unless you hear differently from Attribution App, and I can send a note to Triple Whale asking this.
328 00:32:24.390 ⇒ 00:32:27.519 Uttam Kumaran: Then this is my… this is my recommendation.
329 00:32:31.110 ⇒ 00:32:36.740 Uttam Kumaran: Like, I basically want to go to Eden and say, look, we’re at this thing, this is the problem with North Beam.
330 00:32:36.870 ⇒ 00:32:42.589 Uttam Kumaran: we interviewed this many apps, none of them do it. In order for us to build it, it’s gonna take this many hours.
331 00:32:42.590 ⇒ 00:32:44.790 Robert Tseng: Yeah. And here’s the lift you can expect.
332 00:32:44.820 ⇒ 00:32:47.750 Uttam Kumaran: And they can decide whether they want to do it now or later.
333 00:32:48.740 ⇒ 00:33:01.650 Uttam Kumaran: But I just wanna… I just wanna share that, like, if nothing changes, Northbeam is gonna be it, and then Awash, I want… we should just close the service, I think, this week. So, like, that’s gonna be, like, what I’m proposing.
334 00:33:02.870 ⇒ 00:33:08.169 Robert Tseng: Yeah, I mean, I want our team to just wrap this up by this week, because we’ve been talking about Northbeam for weeks.
335 00:33:08.170 ⇒ 00:33:11.939 Uttam Kumaran: Cool. Alright. Yeah. So, so, so Zoran, this is a good,
336 00:33:12.190 ⇒ 00:33:16.069 Uttam Kumaran: This is a good first, sort of, like, mess for you to…
337 00:33:16.170 ⇒ 00:33:24.829 Uttam Kumaran: I’ll figure out this week. So, okay, great. So let’s plan on that. I think we’re all clear on that. Anything else on,
338 00:33:25.500 ⇒ 00:33:26.680 Uttam Kumaran: on Eden.
339 00:33:27.940 ⇒ 00:33:33.939 Robert Tseng: No, I think we’re just catching up, closing out on the old marketing stuff. I mean, yeah, then we’ll be able to…
340 00:33:33.940 ⇒ 00:33:38.610 Uttam Kumaran: Let’s talk tomorrow during grooming on, like, opportunistic stuff. Yeah.
341 00:33:38.610 ⇒ 00:33:39.710 Robert Tseng: Yeah. Okay. Yep.
342 00:33:40.530 ⇒ 00:33:43.349 Uttam Kumaran: Okay, I know we’re a bit over, any…
343 00:33:43.750 ⇒ 00:33:46.060 Uttam Kumaran: Anything else on any other clients?
344 00:33:46.640 ⇒ 00:33:49.660 Uttam Kumaran: Ellie, you’re meeting up today?
345 00:33:49.900 ⇒ 00:33:54.030 Robert Tseng: I bought… she rescheduled tomorrow, so I got a little more time.
346 00:33:54.860 ⇒ 00:34:01.880 Uttam Kumaran: Okay, so, like, we’re ready there. Okay, so we have several things for insomnia that I’ll try to follow up on later.
347 00:34:01.920 ⇒ 00:34:02.870 Robert Tseng: Great.
348 00:34:02.870 ⇒ 00:34:07.080 Uttam Kumaran: I know we have an Urban Stems architecture, we have an Insomnia architecture.
349 00:34:07.180 ⇒ 00:34:19.130 Uttam Kumaran: I got, I’m meeting with ABC CEO on Tuesday to pitch a few more opportunities, so that’s getting booked. I will send notes on default,
350 00:34:19.750 ⇒ 00:34:21.230 Robert Tseng: I’ll follow up with Rimi, yeah.
351 00:34:21.679 ⇒ 00:34:27.859 Uttam Kumaran: And then, yeah, if you can, yeah, on the REME stuff, let me know. I have time later this afternoon to touch base on that, so…
352 00:34:27.860 ⇒ 00:34:28.530 Robert Tseng: Okay.
353 00:34:29.920 ⇒ 00:34:31.080 Uttam Kumaran: Okay, okay, cool.
354 00:34:31.580 ⇒ 00:34:33.370 Uttam Kumaran: Alright, thank you guys.
355 00:34:33.920 ⇒ 00:34:34.539 Robert Tseng: Alright, thanks everyone.
356 00:34:34.540 ⇒ 00:34:35.080 Zoran Selinger: Yes.