2025-12-03_de-ae-ai_standup_20f73c82

Meeting Title: DE-AE-AI Standup Date: 2025-12-03 Meeting participants: Uttam Kumaran, Awaish Kumar, Clarence Stone, Surf’s iPhone, Mustafa Raja, Casie Aviles, Gabriel Lam, Demilade Agboola, Ashwini Sharma, Rico Rejoso, Henry Zhao, Robert Tseng, Zoran Selinger, Amber Lin

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WEBVTT

1 00:09:32.810 ⇒ 00:09:33.730 Awaish Kumar: No.

2 00:09:59.880 ⇒ 00:10:00.490 Surf’s iPhone: Yep.

3 00:10:00.490 ⇒ 00:10:02.290 Uttam Kumaran: Hello. Good morning.

4 00:10:18.630 ⇒ 00:10:20.560 Uttam Kumaran: It’s time for me to get a coffee.

5 00:10:21.810 ⇒ 00:10:23.779 Uttam Kumaran: What’s new, Always?

6 00:10:24.010 ⇒ 00:10:26.120 Surf’s iPhone: Had an amazing coffee this morning.

7 00:10:26.370 ⇒ 00:10:27.579 Uttam Kumaran: Oh yeah, what’d you have?

8 00:10:27.580 ⇒ 00:10:30.379 Surf’s iPhone: Ethiopian Dark Grows, French Press.

9 00:10:31.060 ⇒ 00:10:34.089 Uttam Kumaran: Dude, that’s too much caffeine, bro.

10 00:10:34.090 ⇒ 00:10:36.929 Surf’s iPhone: Bro, I am perfectly wired right now.

11 00:10:38.000 ⇒ 00:10:42.779 Surf’s iPhone: I got 5 more hours of high output, and then the crash.

12 00:10:43.140 ⇒ 00:10:43.799 Surf’s iPhone: Some of these roles.

13 00:10:43.800 ⇒ 00:10:46.320 Uttam Kumaran: No, that’s… and then the second coffee, bro.

14 00:10:46.320 ⇒ 00:10:52.919 Surf’s iPhone: No, no, no, I can’t… I can’t do the late-day coffee. If I do that, it’s… it’s game over.

15 00:10:52.920 ⇒ 00:10:55.699 Uttam Kumaran: I had a latte at 7pm, I called.

16 00:10:55.700 ⇒ 00:10:58.510 Surf’s iPhone: Oh, you’re sick, Utam. Sick.

17 00:10:58.510 ⇒ 00:11:01.019 Uttam Kumaran: And I slept at 9pm.

18 00:11:01.020 ⇒ 00:11:02.480 Surf’s iPhone: No, insane.

19 00:11:02.630 ⇒ 00:11:05.530 Uttam Kumaran: And I woke up at, like, 6.45.

20 00:11:05.530 ⇒ 00:11:07.109 Surf’s iPhone: Insane behavior.

21 00:11:07.110 ⇒ 00:11:12.780 Uttam Kumaran: I worked… somehow, I’m getting the body to really push

22 00:11:13.330 ⇒ 00:11:18.630 Uttam Kumaran: the limits of focus. The thing I’m realizing, though, is I have to stagger different types of work.

23 00:11:19.030 ⇒ 00:11:21.700 Uttam Kumaran: Like, I can’t sit in VS.

24 00:11:22.090 ⇒ 00:11:23.680 Surf’s iPhone: Like, after, like…

25 00:11:23.680 ⇒ 00:11:28.910 Uttam Kumaran: after, like, 4 o’clock, it’s really hard for me to code, but I can hop on calls and, like.

26 00:11:29.600 ⇒ 00:11:33.039 Uttam Kumaran: ramble, you know, and so I’m like, yeah.

27 00:11:33.220 ⇒ 00:11:37.330 Surf’s iPhone: I like that, yeah, I could… that’s one of the things. I can cook with the best of them.

28 00:11:40.000 ⇒ 00:11:46.990 Uttam Kumaran: Yeah, it’s the actually doing work part that I do need a brain for.

29 00:11:46.990 ⇒ 00:11:58.369 Surf’s iPhone: Yeah, agreed. Well, the nice thing, at least now, is, especially for us engineers, some of the AI coding tools are really good if you are.

30 00:11:58.370 ⇒ 00:11:59.210 Uttam Kumaran: Oh, yeah.

31 00:11:59.210 ⇒ 00:12:01.630 Surf’s iPhone: about it, so I’m killing it with Claude Code.

32 00:12:01.850 ⇒ 00:12:02.899 Surf’s iPhone: Right? Yeah, I don’t do that.

33 00:12:02.900 ⇒ 00:12:06.410 Uttam Kumaran: You should, if you want cursor, everybody here uses cursor.

34 00:12:06.680 ⇒ 00:12:09.610 Surf’s iPhone: Cursor… Right.

35 00:12:09.610 ⇒ 00:12:14.230 Uttam Kumaran: Let’s see, I’m going crazy on… I’m also using Cursor for project management now.

36 00:12:14.300 ⇒ 00:12:15.590 Surf’s iPhone: Got it.

37 00:12:15.980 ⇒ 00:12:18.729 Uttam Kumaran: And, wait, I’ll have to show you guys my life.

38 00:12:18.730 ⇒ 00:12:21.579 Surf’s iPhone: Which LLM are you using in Kershaw?

39 00:12:21.580 ⇒ 00:12:23.029 Uttam Kumaran: It… you can pick.

40 00:12:23.290 ⇒ 00:12:25.790 Uttam Kumaran: Okay, cool. You can pick all of them.

41 00:12:25.790 ⇒ 00:12:34.759 Surf’s iPhone: Alright, cool. Yeah, I’m using Claude Code specifically in VS Code. I just downloaded Anti-Gravity, though, because people are saying it’s sick.

42 00:12:35.590 ⇒ 00:12:48.209 Uttam Kumaran: Yeah, so Cursor Cursor is, like, a better version of it. I mean, Clarence can tell you about his experience with anti-graph. I have not tried it. I don’t know if I’m going to. Honestly, I’m happy.

43 00:12:48.440 ⇒ 00:12:52.190 Surf’s iPhone: Alright, cool. I think the one thing that I want to get

44 00:12:52.370 ⇒ 00:12:56.899 Surf’s iPhone: More down-packed, is which one’s best for design.

45 00:12:57.190 ⇒ 00:13:05.489 Surf’s iPhone: His cursor is not… I mean, Cloud Code is not good with design, but it fries with, like, backend, all the technical stuff.

46 00:13:05.890 ⇒ 00:13:12.269 Surf’s iPhone: But it’s just, like, for design, it always gives you, like, stuff that looks like… you remember Bootstrap?

47 00:13:12.710 ⇒ 00:13:13.179 Surf’s iPhone: It always looks like.

48 00:13:13.180 ⇒ 00:13:20.500 Uttam Kumaran: bootstrap. Yeah. Well, for design, we started using this application called Magic Patterns, which is, like, a pure design

49 00:13:20.630 ⇒ 00:13:26.540 Uttam Kumaran: Like, mid-fi, high-fi, focused… Design tool.

50 00:13:26.740 ⇒ 00:13:36.450 Uttam Kumaran: And so, we can get… I’ll get you access to that as well, but they built, basically, an LLM just for front-end designs and prototypes.

51 00:13:36.460 ⇒ 00:13:45.299 Surf’s iPhone: Got it, okay, cool. And so what we’ve been trying to do is basically work on the first version there, and then, like, anybody in the business can work on it there, and then hand that off.

52 00:13:45.300 ⇒ 00:13:55.810 Uttam Kumaran: and we’ve loaded in our, like, brand, our, like, brand colors and everything, and… but then for design, otherwise, I use… I’ve been using codecs.

53 00:13:56.180 ⇒ 00:14:01.589 Uttam Kumaran: like, GPT-5 codex, and then for writing, I use Sonnet… Sonnet 4.5.

54 00:14:01.760 ⇒ 00:14:04.839 Surf’s iPhone: Oh, yeah, yeah Son is beautiful, yeah, Sonic’s poetic with it.

55 00:14:05.080 ⇒ 00:14:10.050 Uttam Kumaran: Yeah, so for any writing, I switched immediately to Sonnet, and it’s brushed, like…

56 00:14:10.050 ⇒ 00:14:10.490 Surf’s iPhone: Yeah.

57 00:14:10.490 ⇒ 00:14:11.530 Uttam Kumaran: Dude, I…

58 00:14:11.670 ⇒ 00:14:20.620 Uttam Kumaran: the discovery work I’m doing for a couple clients, it’s… what I’m… what I’ve… I have to show you guys, like, on Friday, like, my workflow, but, like.

59 00:14:20.940 ⇒ 00:14:24.169 Uttam Kumaran: We should be doing everything in cursor.

60 00:14:24.170 ⇒ 00:14:25.329 Surf’s iPhone: Cool, sweet, I love it.

61 00:14:25.510 ⇒ 00:14:32.850 Uttam Kumaran: Chrysler Maxie here, yeah, I wanna, like… I… some clients, I’m like.

62 00:14:33.220 ⇒ 00:14:43.100 Uttam Kumaran: I don’t know, for… even we have some technical clients who I’m like, dude, we’re not gonna do any spreadsheets or any Google Docs, like, everything will be Markdown files in cursor, you know, eventually.

63 00:14:43.610 ⇒ 00:14:46.580 Uttam Kumaran: And end up in the repo.

64 00:14:49.410 ⇒ 00:14:50.209 Surf’s iPhone: I love it.

65 00:14:52.990 ⇒ 00:14:54.960 Uttam Kumaran: Clarence or anyone else, any thoughts?

66 00:14:56.550 ⇒ 00:15:18.760 Clarence Stone: I encourage everyone to check out all of these coding tools, especially Cursor. And because they’re open source and there’s, like, plugins that you can add to it, if there’s functionality that you want that’s not there yet, like, you could probably find a plugin for it. So, when UTOM says, like, this could pretty much run everything that’s involving your workflow, it really could.

67 00:15:20.870 ⇒ 00:15:30.279 Uttam Kumaran: Yeah, I’m… I’m maxing out. Awash, do you use… are you using… you’re using… is everybody else using Cursor for the most part? Or is anyone using cloud code or anti-gravity?

68 00:15:31.140 ⇒ 00:15:31.989 Awaish Kumar: No, I’m using.

69 00:15:31.990 ⇒ 00:15:39.000 Clarence Stone: Oh, important thing about anti-gravity, you’re gonna hit rate limits, and you can’t even pay for it, it’s just in preview right now.

70 00:15:39.330 ⇒ 00:15:40.979 Clarence Stone: So, yeah.

71 00:15:46.210 ⇒ 00:16:00.030 Uttam Kumaran: I… we need to think of some way to share, like, cursor workflows, or, like, maybe we… I mean, eventually, I think we’ll probably try to build our own, like, internal MCPs, and internal slash commands and stuff like that.

72 00:16:00.400 ⇒ 00:16:04.899 Uttam Kumaran: I don’t know, like, if BC and Mustafa, you guys are doing anything interesting in there.

73 00:16:08.550 ⇒ 00:16:12.859 Mustafa Raja: Yeah, for the most part, with Kursana, I’m only doing the coding stuff.

74 00:16:16.200 ⇒ 00:16:18.250 Uttam Kumaran: Do you have… you’re not using any MCPs?

75 00:16:19.370 ⇒ 00:16:21.210 Mustafa Raja: Nope, not right now.

76 00:16:22.850 ⇒ 00:16:25.640 Uttam Kumaran: I feel like even the Super Base MCP was decent.

77 00:16:27.510 ⇒ 00:16:30.000 Mustafa Raja: Yeah, I haven’t… I haven’t plugged in any of those, though.

78 00:16:30.730 ⇒ 00:16:32.910 Mustafa Raja: So maybe I… maybe I should try that.

79 00:16:39.710 ⇒ 00:16:41.479 Uttam Kumaran: Cool, okay, who are we missing?

80 00:16:44.710 ⇒ 00:16:46.490 Awaish Kumar: Maybe, definitely.

81 00:16:48.450 ⇒ 00:16:49.430 Awaish Kumar: And…

82 00:16:51.420 ⇒ 00:16:54.290 Uttam Kumaran: Sweeney’s not on yet.

83 00:16:54.550 ⇒ 00:16:56.710 Awaish Kumar: Ashwini and Demonade are y’all.

84 00:16:57.990 ⇒ 00:16:58.680 Uttam Kumaran: Okay.

85 00:16:59.740 ⇒ 00:17:03.980 Uttam Kumaran: Okay, let’s get started. Yeah, maybe you can go ahead, Alish.

86 00:17:04.599 ⇒ 00:17:06.269 Awaish Kumar: Yeah, so…

87 00:17:07.179 ⇒ 00:17:14.309 Awaish Kumar: I will start with the… with the projects, which are… of which we have the people here, so maybe we can go with…

88 00:17:14.569 ⇒ 00:17:16.359 Awaish Kumar: Remo and Lilo first.

89 00:17:18.969 ⇒ 00:17:26.649 Awaish Kumar: And, like… for both of them, I don’t know if we have anything in linear yet.

90 00:17:28.919 ⇒ 00:17:35.839 Awaish Kumar: Yeah, we don’t have anything in the linear board, like, Serf, do you want to utilize linear for…

91 00:17:36.119 ⇒ 00:17:40.629 Awaish Kumar: Both of these projects, and, like, put in some… Possibly?

92 00:17:45.950 ⇒ 00:17:47.319 Uttam Kumaran: Sir, if you’re on mute.

93 00:17:55.160 ⇒ 00:17:56.319 Uttam Kumaran: Sir, you there?

94 00:18:03.480 ⇒ 00:18:04.700 Uttam Kumaran: So for…

95 00:18:05.050 ⇒ 00:18:10.900 Uttam Kumaran: For, I can comment on Lilo. So right now, we’re just gonna set up… we’re setting up railway.

96 00:18:11.790 ⇒ 00:18:17.900 Uttam Kumaran: For hosting, and then we’re also gonna set up off.

97 00:18:18.200 ⇒ 00:18:23.800 Uttam Kumaran: And then I’m, I’m basically adding,

98 00:18:24.620 ⇒ 00:18:27.399 Uttam Kumaran: I’m trying to get a meeting set up with the other dev team.

99 00:18:27.540 ⇒ 00:18:37.400 Uttam Kumaran: So, maybe we can have, a way she can have Rico actually probably create those tickets. The summary of, like, the to-dos are in the… in the,

100 00:18:37.770 ⇒ 00:18:39.000 Uttam Kumaran: Lilo Channel.

101 00:18:40.260 ⇒ 00:18:41.380 Awaish Kumar: Okay.

102 00:18:43.330 ⇒ 00:18:45.899 Awaish Kumar: And for the little, like, we…

103 00:18:46.170 ⇒ 00:18:54.320 Awaish Kumar: like, it’s completely on us, like, Seth, or, like, Sam, or people from our team, we will be…

104 00:18:54.750 ⇒ 00:19:02.939 Uttam Kumaran: It’s us, yeah. So, so this week is mainly figuring out, like, what’s the scope for the 3 months, and then on Monday.

105 00:19:03.120 ⇒ 00:19:08.489 Uttam Kumaran: me, you, Sam, and Surf can chat about

106 00:19:08.720 ⇒ 00:19:18.010 Uttam Kumaran: other resources. Like, I think, for example, like, we may need, either Casey or Mustafa,

107 00:19:18.500 ⇒ 00:19:20.949 Uttam Kumaran: So that’s what I want to kind of get to next week.

108 00:19:22.690 ⇒ 00:19:27.480 Awaish Kumar: Okay, and yeah, anything on VMO, if you know anything?

109 00:19:30.670 ⇒ 00:19:32.130 Uttam Kumaran: That’s all surf.

110 00:19:33.400 ⇒ 00:19:33.870 Awaish Kumar: Great.

111 00:19:33.870 ⇒ 00:19:35.660 Uttam Kumaran: Maybe we can come back to it when he gets back.

112 00:19:36.840 ⇒ 00:19:41.770 Awaish Kumar: Yeah, actually, I’m Demiladia here. We can start with Eden Tas.

113 00:19:42.530 ⇒ 00:19:50.070 Awaish Kumar: Today, first, like, by having…

114 00:19:52.500 ⇒ 00:19:58.099 Awaish Kumar: So, yeah, Ashwini, like, I think you and Zoran chat.

115 00:19:58.250 ⇒ 00:20:03.059 Awaish Kumar: Had a chat about, like, the… Data for, like, meta.

116 00:20:03.160 ⇒ 00:20:03.720 Awaish Kumar: And…

117 00:20:03.720 ⇒ 00:20:20.499 Ashwini Sharma: Yeah, yeah, he sent me a link to a ticket, but I haven’t, honestly, like, I haven’t got a chance to look into it. I just came out of a different meeting. Yeah, I’ll start looking into it. Can you give me a little bit more insight into what exactly is to be done in that ticket?

118 00:20:21.060 ⇒ 00:20:22.960 Awaish Kumar: Yeah, like, I…

119 00:20:23.310 ⇒ 00:20:30.240 Awaish Kumar: created a model for the meta, like, we want to do reverse ETL part, so we already have a model.

120 00:20:30.430 ⇒ 00:20:41.749 Awaish Kumar: But what we want to do is just validate it, like, now that we have data, previously, the data from Agile was missing, and we were not able to test it.

121 00:20:42.030 ⇒ 00:20:52.419 Awaish Kumar: So now that we have the data coming in, and we can just verify that it is working as expected, and the model is ready, and we can just hand it over to Zorad there.

122 00:20:52.870 ⇒ 00:20:56.539 Ashwini Sharma: Oh, okay, okay, got it. Alright, alright, just verification, right?

123 00:20:56.810 ⇒ 00:20:57.450 Awaish Kumar: Yeah.

124 00:20:58.200 ⇒ 00:20:59.210 Ashwini Sharma: Alright.

125 00:21:00.390 ⇒ 00:21:08.360 Awaish Kumar: Yeah, and I think there’s one of the tickets which was assigned to me by Henry, and he has commented, like, I will just go back to him in the…

126 00:21:08.680 ⇒ 00:21:13.060 Awaish Kumar: in the next meeting, and ask about it, so…

127 00:21:13.880 ⇒ 00:21:22.339 Awaish Kumar: That is also… maybe I think it’s a duplicated issue for the same thing, like, putting data to meta, so I’ll just clarify there.

128 00:21:22.610 ⇒ 00:21:26.900 Awaish Kumar: Then for Casey, do you have any update on viewer tickets?

129 00:21:28.110 ⇒ 00:21:33.390 Casie Aviles: Yeah, so for the heat maps that should be done,

130 00:21:34.020 ⇒ 00:21:37.319 Casie Aviles: So I think that should unblock 931 as well.

131 00:21:37.920 ⇒ 00:21:40.489 Uttam Kumaran: How did we end up doing this? Through Mixpanel?

132 00:21:41.950 ⇒ 00:21:45.800 Casie Aviles: Yes, basically we just gave them a code snippet.

133 00:21:45.960 ⇒ 00:21:49.889 Casie Aviles: to enable the… Session replays and heat map.

134 00:21:49.890 ⇒ 00:21:50.570 Uttam Kumaran: Nice.

135 00:21:50.880 ⇒ 00:21:51.939 Uttam Kumaran: And it’s working?

136 00:21:52.630 ⇒ 00:21:59.739 Casie Aviles: Yes. I would say we were able to go to Xpanel and see, like, the replays, and create. Nice.

137 00:22:00.430 ⇒ 00:22:01.200 Uttam Kumaran: Nice, dude.

138 00:22:03.770 ⇒ 00:22:10.119 Casie Aviles: But also, so I think, yeah, for this bike, I just added some more tests there, I think.

139 00:22:10.680 ⇒ 00:22:17.349 Casie Aviles: Oh, this… oh, sorry. For the ones that are in Todo, those are… I will check them out, but I will focus on…

140 00:22:17.930 ⇒ 00:22:19.910 Casie Aviles: Catalyst Reconciliation.

141 00:22:20.760 ⇒ 00:22:21.699 Awaish Kumar: This one, right?

142 00:22:21.700 ⇒ 00:22:27.019 Casie Aviles: This one, yes. I haven’t taken a look at this, but yeah, I can do this today.

143 00:22:28.200 ⇒ 00:22:30.290 Awaish Kumar: Yeah, I think, I think that’s all.

144 00:22:30.540 ⇒ 00:22:34.570 Awaish Kumar: Yeah, that’s something, like, the marketing team is asking for.

145 00:22:34.970 ⇒ 00:22:37.939 Awaish Kumar: So, we can get started on this one.

146 00:22:38.480 ⇒ 00:22:41.440 Awaish Kumar: Yeah, and then for Demuli…

147 00:22:44.500 ⇒ 00:22:48.580 Awaish Kumar: Like, did we start it on excellence data modeling?

148 00:22:48.940 ⇒ 00:22:51.710 Demilade Agboola: Yes, it’s a work in progress.

149 00:22:51.900 ⇒ 00:22:58.630 Demilade Agboola: So I’m… the data came in yesterday, I believe, from, Polytomic, so right now I am…

150 00:22:59.090 ⇒ 00:23:06.940 Demilade Agboola: In the process of, like, modeling and just adding it to our current models so that it can populate the Fluence data.

151 00:23:07.250 ⇒ 00:23:10.190 Demilade Agboola: Numbers that have been blank.

152 00:23:10.860 ⇒ 00:23:12.690 Demilade Agboola: And then…

153 00:23:14.790 ⇒ 00:23:24.250 Demilade Agboola: this I haven’t started looking at, to be honest, but I will reach out to the Polytomic team today, and just ask them if we can set up pre-versity with… actually, I could do that right now.

154 00:23:24.520 ⇒ 00:23:31.240 Demilade Agboola: If I can reach out to the Pyotomic team today and ask if we could set up Reverse ETL and what it will take for us to do that with them.

155 00:23:31.910 ⇒ 00:23:36.220 Demilade Agboola: And then…

156 00:23:37.220 ⇒ 00:23:41.260 Awaish Kumar: also, like, if you need my… like, we… I have a thread with them.

157 00:23:41.610 ⇒ 00:23:45.000 Awaish Kumar: Perfect. If you want, I can add you there, and you can just…

158 00:23:45.220 ⇒ 00:23:49.379 Awaish Kumar: Ask our flights as well, if you need any documentation from them.

159 00:23:49.760 ⇒ 00:23:51.990 Demilade Agboola: Okay, sure, please add me to that as well.

160 00:23:53.430 ⇒ 00:24:04.779 Demilade Agboola: Also, do we have a format of the data that we send back to… like, how do we send data to, like, Catalyst and all that, so I can just send that as a sample of what we will be sending?

161 00:24:04.780 ⇒ 00:24:05.430 Awaish Kumar: Okay.

162 00:24:05.750 ⇒ 00:24:07.760 Awaish Kumar: It depends on the API itself.

163 00:24:07.870 ⇒ 00:24:09.640 Awaish Kumar: A lot of accepts.

164 00:24:09.880 ⇒ 00:24:15.409 Awaish Kumar: For the catalyst, we just needed to put some order ID and order total.

165 00:24:16.120 ⇒ 00:24:18.310 Awaish Kumar: It is, and it works, so…

166 00:24:18.480 ⇒ 00:24:24.840 Awaish Kumar: For opulence, we don’t know, like, we need to have a look at API, what it accepts, and what are the required fields.

167 00:24:25.040 ⇒ 00:24:26.300 Demilade Agboola: Okay, gotcha.

168 00:24:27.080 ⇒ 00:24:34.779 Demilade Agboola: Yeah, so, yeah, we’ll try to figure that out today. I don’t think that’s necessarily blocked right now. There’s nothing really blocking it, because we’ve…

169 00:24:36.480 ⇒ 00:24:37.800 Awaish Kumar: Yeah, my goodness.

170 00:24:37.800 ⇒ 00:24:38.860 Demilade Agboola: progress.

171 00:24:47.240 ⇒ 00:24:57.810 Demilade Agboola: Yeah, so I think that’s largely it. I mean, the LTV car stuff, I will do that later this week, like, tomorrow, Friday, sort of thing.

172 00:25:00.640 ⇒ 00:25:07.080 Awaish Kumar: Okay, and yeah, for the… task in the Henry’s plate, like, we have…

173 00:25:07.720 ⇒ 00:25:15.259 Awaish Kumar: some tickets for Pharmatica API, or things like that, they are still back and forth between the Indian FarmOps team and the…

174 00:25:15.460 ⇒ 00:25:18.890 Awaish Kumar: Henry? Okay. Regarding that resource yet.

175 00:25:21.870 ⇒ 00:25:22.670 Awaish Kumar: Oh, shit.

176 00:25:23.100 ⇒ 00:25:27.190 Awaish Kumar: Yeah, I can move on to the next one, which is, like…

177 00:25:31.640 ⇒ 00:25:32.650 Awaish Kumar: Default.

178 00:25:33.780 ⇒ 00:25:34.310 Mustafa Raja: No.

179 00:25:34.310 ⇒ 00:25:36.510 Uttam Kumaran: Yeah, because… Oh my god.

180 00:25:36.990 ⇒ 00:25:40.419 Awaish Kumar: We have… Yeah, go ahead.

181 00:25:41.570 ⇒ 00:25:45.059 Mustafa Raja: Yeah, so, Avish and I are going to meet today,

182 00:25:45.700 ⇒ 00:25:55.769 Mustafa Raja: to set up, a comparison for, vendors. And then Katen also has a request for, a dashboard update.

183 00:25:55.940 ⇒ 00:26:05.720 Mustafa Raja: So I’m going to work on that. So these are two updates, and then we met with Thomas yesterday, hopefully, soon enough, we’ll have some updates.

184 00:26:06.090 ⇒ 00:26:08.300 Mustafa Raja: From their side.

185 00:26:08.850 ⇒ 00:26:10.299 Mustafa Raja: Regarding Catalyst.

186 00:26:11.020 ⇒ 00:26:12.580 Mustafa Raja: And S3, yeah.

187 00:26:15.390 ⇒ 00:26:23.389 Uttam Kumaran: So there’s two other… so, there’s… there’s two other things that also came up. The… there’s a request for a dashboard change.

188 00:26:23.570 ⇒ 00:26:26.780 Uttam Kumaran: And there’s the master… Vendor list, right?

189 00:26:30.140 ⇒ 00:26:31.080 Mustafa Raja: Yes.

190 00:26:32.210 ⇒ 00:26:33.299 Uttam Kumaran: Are those ticketed?

191 00:26:35.250 ⇒ 00:26:35.975 Mustafa Raja: No.

192 00:26:37.110 ⇒ 00:26:38.520 Uttam Kumaran: Do you want to go ahead and create those?

193 00:26:38.520 ⇒ 00:26:39.320 Mustafa Raja: Yeah.

194 00:26:40.410 ⇒ 00:26:40.960 Uttam Kumaran: Okay.

195 00:26:42.110 ⇒ 00:26:46.600 Awaish Kumar: Okay, but, like, for a short the sheet for mastermindelist, right?

196 00:26:47.610 ⇒ 00:26:51.340 Uttam Kumaran: Yeah, you just need to get that over to… Caitlin.

197 00:26:54.660 ⇒ 00:26:58.129 Awaish Kumar: Yeah, apart from that, we can,

198 00:26:58.450 ⇒ 00:27:02.660 Awaish Kumar: Yeah, do you have any update on Augustam’s process for…

199 00:27:03.230 ⇒ 00:27:06.119 Awaish Kumar: Engaging in the tickets or anything?

200 00:27:07.360 ⇒ 00:27:08.500 Uttam Kumaran: Nothing yet.

201 00:27:11.170 ⇒ 00:27:17.299 Awaish Kumar: Okay, for README… Mr. Far, do you have anything?

202 00:27:18.370 ⇒ 00:27:22.289 Mustafa Raja: Yeah, so Robert is going to create some tickets for me.

203 00:27:22.430 ⇒ 00:27:29.010 Mustafa Raja: It’s just going to be about some, new dashboards and amplitude.

204 00:27:34.790 ⇒ 00:27:39.839 Uttam Kumaran: Can you just… can you just create the placeholder ticket, Mustafa, so it shows up there?

205 00:27:40.490 ⇒ 00:27:42.039 Mustafa Raja: Oh yeah, yeah, let me do that.

206 00:27:48.320 ⇒ 00:27:52.129 Awaish Kumar: Okay, for element, like,

207 00:27:53.720 ⇒ 00:27:58.839 Awaish Kumar: Yeah, I, like, we got access to Snowflake, and also…

208 00:28:00.000 ⇒ 00:28:04.029 Awaish Kumar: I have asked them to give us access to sales platforms.

209 00:28:04.500 ⇒ 00:28:09.730 Awaish Kumar: So, we can maybe start profiling the data and understand the volume of it.

210 00:28:09.990 ⇒ 00:28:13.550 Awaish Kumar: To design the architecture.

211 00:28:15.600 ⇒ 00:28:19.020 Awaish Kumar: And I will explore the Snowflake data today.

212 00:28:20.360 ⇒ 00:28:21.150 Uttam Kumaran: Great.

213 00:28:21.630 ⇒ 00:28:28.680 Uttam Kumaran: If you can… one suggestion I would have when you’re doing the, like, exploration is,

214 00:28:29.160 ⇒ 00:28:45.299 Uttam Kumaran: One, you can actually access Snowflake via cursor, so you can install the Snowflake integration. Second is try to store as much of the profiling information in

215 00:28:45.420 ⇒ 00:28:46.640 Uttam Kumaran: the repo?

216 00:28:47.150 ⇒ 00:28:50.549 Uttam Kumaran: Because we’ll use that to basically set up the raw…

217 00:28:51.530 ⇒ 00:29:02.319 Uttam Kumaran: schema, right? So that’s, like, our… this is our first source that we have access to. So that way, we can start to keep the documentation there, and then we can lift it out of there and put it into Google Docs.

218 00:29:02.890 ⇒ 00:29:04.069 Uttam Kumaran: you know, later.

219 00:29:04.240 ⇒ 00:29:09.140 Uttam Kumaran: But I’m almost, like, trying to push for the repo to be the source of truth

220 00:29:09.430 ⇒ 00:29:26.770 Uttam Kumaran: to have everything, and for example, one of the things that we’re gonna have to write is, like, a memo for every source. What’s in Emerson? What’s in Shopify? Right? But that we can use… you can use Sonnet to write a lot of that, as long as we have the meetings and the prof… the, like, profile stuff in there.

221 00:29:26.880 ⇒ 00:29:30.000 Uttam Kumaran: It’ll make it so much easier, so that would be my suggestion.

222 00:29:31.050 ⇒ 00:29:31.760 Awaish Kumar: Okay.

223 00:29:32.140 ⇒ 00:29:33.810 Awaish Kumar: Yeah, I will start…

224 00:29:33.950 ⇒ 00:29:42.949 Awaish Kumar: Looking at it today, and then… yeah, I will move to Hedra. I started… I just shared the final updates with them yesterday.

225 00:29:43.200 ⇒ 00:29:48.560 Awaish Kumar: We’ve worked on bringing in product data and ancestors of street blasking.

226 00:29:48.800 ⇒ 00:29:51.920 Awaish Kumar: To… to air out, like, final summary tables.

227 00:29:52.200 ⇒ 00:29:55.639 Awaish Kumar: Yeah, that’s pretty much done.

228 00:29:57.010 ⇒ 00:29:58.150 Awaish Kumar: One more sec, yeah.

229 00:30:04.150 ⇒ 00:30:04.840 Uttam Kumaran: Okay.

230 00:30:06.520 ⇒ 00:30:13.210 Awaish Kumar: Okay, so, like, when do you have a meeting with her on the next steps? Maybe later this week?

231 00:30:13.960 ⇒ 00:30:15.910 Uttam Kumaran: Yeah, it’ll be later this week.

232 00:30:16.750 ⇒ 00:30:18.220 Uttam Kumaran: Whenever Michael’s back.

233 00:30:18.360 ⇒ 00:30:23.369 Uttam Kumaran: But I feel good, like, I think at least we should get that, probably that 20 hours.

234 00:30:23.510 ⇒ 00:30:29.460 Uttam Kumaran: I want us to get both the DE, AE work, and…

235 00:30:29.900 ⇒ 00:30:38.370 Uttam Kumaran: product analytics, or analytic analysis, or something. One thing you heard on the phone yesterday that was really clear was they don’t have a CPO.

236 00:30:38.560 ⇒ 00:30:45.100 Uttam Kumaran: So Michael is making all the product decisions, which means there’s no way there’s anyone spending time looking at data.

237 00:30:45.600 ⇒ 00:30:52.679 Uttam Kumaran: And they… these guys know that’s a problem, and as you guys saw in the data, there’s tons and tons of stuff.

238 00:30:52.950 ⇒ 00:30:59.950 Uttam Kumaran: Right? They have so many users. For context, guys, this client is,

239 00:31:00.190 ⇒ 00:31:08.450 Uttam Kumaran: Hedra.com. They are one of the larger, generative content.

240 00:31:08.780 ⇒ 00:31:10.320 Uttam Kumaran: platforms.

241 00:31:10.480 ⇒ 00:31:13.809 Uttam Kumaran: So images, videos,

242 00:31:14.260 ⇒ 00:31:28.470 Uttam Kumaran: Yeah, and they just raised, like, they raised a Series A recently, they’re kind of exploding, and they’re basically trying to… they need to figure out pricing, they need to figure out enterprise, PLG, like, there’s a ton, so…

243 00:31:28.870 ⇒ 00:31:30.790 Awaish Kumar: I want to select our…

244 00:31:30.790 ⇒ 00:31:33.110 Uttam Kumaran: Keith in as much as possible, if we can.

245 00:31:33.400 ⇒ 00:31:34.289 Uttam Kumaran: It’s a cool product.

246 00:31:35.380 ⇒ 00:31:38.050 Awaish Kumar: So, like, I don’t think, like, we have…

247 00:31:38.440 ⇒ 00:31:43.319 Uttam Kumaran: like, much of the DE needs now, we can, like, split this time between.

248 00:31:43.320 ⇒ 00:31:46.349 Awaish Kumar: AE and data analyst, so we can…

249 00:31:46.720 ⇒ 00:31:53.370 Awaish Kumar: Like, get into the data and come up with some disc, like, I agree.

250 00:31:53.370 ⇒ 00:31:55.750 Demilade Agboola: I agree with that. I… I just want to, like…

251 00:31:56.340 ⇒ 00:32:01.219 Demilade Agboola: It feels more like a project where the value can be seen with

252 00:32:01.460 ⇒ 00:32:04.509 Demilade Agboola: an AE and an analyst, especially an analyst.

253 00:32:04.900 ⇒ 00:32:19.390 Demilade Agboola: Because if we’re able to show them the numbers and what’s going on, and come up with strategies to retain or to help reduce churn, those kind of strategies, I think that would… that would make a world of different… world of difference for them.

254 00:32:22.240 ⇒ 00:32:23.289 Uttam Kumaran: Yeah, I agree.

255 00:32:26.470 ⇒ 00:32:31.060 Awaish Kumar: Okay, yeah, we’re good here for CTA, I… don’t know.

256 00:32:32.480 ⇒ 00:32:38.739 Uttam Kumaran: Yeah, let’s talk about CTA. Maybe Ashwini, I… so I… I don’t know if you caught up on the thread I sent with,

257 00:32:39.000 ⇒ 00:32:44.619 Uttam Kumaran: with Catherine, but basically I’m trying to drive her towards, you know, making an ETL decision.

258 00:32:45.050 ⇒ 00:32:51.809 Uttam Kumaran: What’s, like, what’s your availability today on CTA stuff? Are you gonna be working on, like.

259 00:32:52.190 ⇒ 00:33:00.489 Ashwini Sharma: So, mostly, yeah, today it’s going to be mostly on CTA, my plan is to load those Snowflake with, initialize a Snowflake.

260 00:33:00.650 ⇒ 00:33:08.109 Ashwini Sharma: create a dbt project, and then we can, you know, get started with at least some basic model on top of the…

261 00:33:08.560 ⇒ 00:33:14.960 Ashwini Sharma: Initial data. Yeah, the initial data that was mentioned. I’m gonna do… I’m gonna look through that data today.

262 00:33:14.970 ⇒ 00:33:17.470 Uttam Kumaran: And I’ll start to write some things about what’s in there.

263 00:33:17.700 ⇒ 00:33:27.979 Uttam Kumaran: And then I’m also going to… I’m driving her towards choosing one of the ETL tools. So, most likely, we’ll probably go with…

264 00:33:28.140 ⇒ 00:33:31.689 Uttam Kumaran: Fivetran to start.

265 00:33:31.950 ⇒ 00:33:34.660 Uttam Kumaran: Because we have the free, like, the free trial.

266 00:33:35.140 ⇒ 00:33:40.569 Uttam Kumaran: We’ll measure, look at some of the volume, and then we can… Shop it around.

267 00:33:41.460 ⇒ 00:33:42.170 Ashwini Sharma: Sure.

268 00:33:43.010 ⇒ 00:33:54.449 Ashwini Sharma: Yeah, and she also said yesterday in a call that she can get access to Salesforce Marketing Cloud. That seems to be the biggest data volume contributor for them, and

269 00:33:54.730 ⇒ 00:34:06.109 Ashwini Sharma: if we can set up a Fivetran account for them, and then start a connector flowing, I think that would be really cool, right? Historical syncs take a lot of time with such a huge volume of data, so…

270 00:34:06.230 ⇒ 00:34:09.649 Ashwini Sharma: As soon as we get data, then we can start looking into it.

271 00:34:10.610 ⇒ 00:34:11.179 Uttam Kumaran: Yeah.

272 00:34:13.320 ⇒ 00:34:21.049 Awaish Kumar: Yeah, like, I and Ashwini had a look at these ETL tools, like, assessment and, like.

273 00:34:21.190 ⇒ 00:34:29.270 Awaish Kumar: only the Fivetran had a few P0 sources, and other tools, like Polytomic, didn’t, but I don’t know what…

274 00:34:29.510 ⇒ 00:34:33.569 Awaish Kumar: where to make a call, like, but Fivetran is still missing some of the.

275 00:34:34.139 ⇒ 00:34:35.639 Uttam Kumaran: They’re both missing.

276 00:34:35.639 ⇒ 00:34:36.379 Ashwini Sharma: Yeah.

277 00:34:36.650 ⇒ 00:34:38.109 Uttam Kumaran: They’re both missing. I…

278 00:34:38.540 ⇒ 00:34:45.609 Uttam Kumaran: Look, this is where, like, I… I think we’re gonna have to have them build some connectors, and…

279 00:34:46.400 ⇒ 00:34:55.749 Uttam Kumaran: I mean, Ashwin, you can correct me if I’m wrong, but, like, I feel like they’re… Pipetran may build it or add it to their roadmap, but not… not as quick as Polyatomic is gonna do.

280 00:34:56.540 ⇒ 00:34:57.349 Ashwini Sharma: That’s true.

281 00:34:57.610 ⇒ 00:35:00.270 Uttam Kumaran: I don’t think they’re very price sensitive.

282 00:35:00.560 ⇒ 00:35:06.020 Uttam Kumaran: So, I may…

283 00:35:06.710 ⇒ 00:35:12.409 Uttam Kumaran: push it towards Polytomic longer term, but Fivetran gives you, like, a really generous free tier.

284 00:35:14.670 ⇒ 00:35:15.280 Ashwini Sharma: Yeah.

285 00:35:15.940 ⇒ 00:35:20.559 Uttam Kumaran: So… I don’t want to lose 2 months on an ETL decision.

286 00:35:20.790 ⇒ 00:35:23.770 Uttam Kumaran: When we can just start loading some data in.

287 00:35:24.030 ⇒ 00:35:33.429 Uttam Kumaran: and, like, running some queries, and I can start to let people look at that, and then we can… hopefully, within this month, we can make a decision. Of course, that’s gonna…

288 00:35:33.600 ⇒ 00:35:38.140 Uttam Kumaran: if we have to switch Salesforce from one to another, schemas will change, like, we’ll deal with that, but…

289 00:35:38.510 ⇒ 00:35:40.870 Uttam Kumaran: Trying to parallel as much as we can.

290 00:35:42.700 ⇒ 00:35:43.450 Uttam Kumaran: Does that make sense?

291 00:35:44.540 ⇒ 00:35:45.020 Ashwini Sharma: Yep.

292 00:35:45.020 ⇒ 00:35:45.880 Awaish Kumar: Yes.

293 00:35:48.950 ⇒ 00:36:00.270 Uttam Kumaran: Okay. Yeah, I guess, like, Awash, is the… is the… any of the stuff on Eden, like, more priority for Ashwini? I guess I would look to you to kind of tell me

294 00:36:00.480 ⇒ 00:36:01.630 Uttam Kumaran: what the…

295 00:36:02.350 ⇒ 00:36:07.219 Awaish Kumar: I can give you the priorities on CTA and some of the stuff that I’m owning, so…

296 00:36:08.010 ⇒ 00:36:24.090 Awaish Kumar: Yeah, for Eden, like, all the MarTech work, like, is priority. Like, right now, we have catalyst work on Gessi’s plate, and then meta work, like, meta validation part on the Ashwanese plate, they are both, high priority.

297 00:36:24.700 ⇒ 00:36:25.280 Uttam Kumaran: Okay.

298 00:36:28.610 ⇒ 00:36:29.410 Uttam Kumaran: Okay.

299 00:36:38.090 ⇒ 00:36:38.800 Awaish Kumar: Yeah.

300 00:36:39.260 ⇒ 00:36:41.029 Awaish Kumar: I don’t know if Self is back.

301 00:36:44.480 ⇒ 00:36:45.830 Uttam Kumaran: Sir, if you there?

302 00:36:46.370 ⇒ 00:36:47.179 Surf’s iPhone: Good, man.

303 00:36:47.940 ⇒ 00:36:52.290 Uttam Kumaran: Oh, okay, sorry. Can we talk… can we talk through Lilo and Remo?

304 00:36:52.290 ⇒ 00:37:07.959 Surf’s iPhone: Cool, sweet! On the… let’s talk about the Remo side, because that’s probably going to be easier. On the Remo side, I have a meeting with Cameron today at 3. The meeting’s either going to be fully setting up the staging environment, or him giving me the runaround,

305 00:37:08.170 ⇒ 00:37:25.159 Surf’s iPhone: And then another day of setting up the staging environment. Staging environment needs to be set up before Monday. So my plan of attack there is either set it up today with him, set it up tomorrow with him, or, rebuild the entire thing from the ground up for Monday, because my engineers start on Monday.

306 00:37:25.490 ⇒ 00:37:30.920 Surf’s iPhone: So it’s non-negotiable, the, infrastructure being set up.

307 00:37:31.090 ⇒ 00:37:38.210 Surf’s iPhone: Because of the tools that he decided to use, there is no actual local environment. We have to set it up,

308 00:37:38.700 ⇒ 00:37:48.039 Surf’s iPhone: Leveraging, like, third-party tools just to actually work with the thing, and because of the timeline, there’s just no way to rewrite a bunch of the stuff.

309 00:37:48.230 ⇒ 00:37:49.279 Surf’s iPhone: Like, the timeline’s just…

310 00:37:49.760 ⇒ 00:37:58.419 Surf’s iPhone: So that’s the main objective for today, tomorrow. Either see if I could leverage him to do it, or I’ll just do it.

311 00:37:58.560 ⇒ 00:38:04.379 Surf’s iPhone: by myself, which means I have to do a large rewrite of a lot of the code, so there’s gonna be a bunch of hours in there.

312 00:38:04.810 ⇒ 00:38:13.939 Surf’s iPhone: Then on the Lilo side, I pinged you already, Utam. I just need the password information for the Stitch account,

313 00:38:13.940 ⇒ 00:38:17.819 Uttam Kumaran: Yeah, I replied, I just need you to accept the invite for one pass.

314 00:38:17.820 ⇒ 00:38:34.250 Surf’s iPhone: Alright, cool, perfect. So then once I do that, then I will add my GitHub to the railway, because you have to do it through kind of railway, and then I can get cracking on, pulling their current version and seeing if I could get it up and running in Railway.

315 00:38:34.330 ⇒ 00:38:42.049 Surf’s iPhone: Probably not gonna work because the auth is gonna be messed up. But then the next item is to rewrite auth.

316 00:38:42.950 ⇒ 00:38:43.520 Surf’s iPhone: So…

317 00:38:43.520 ⇒ 00:38:44.150 Uttam Kumaran: Okay.

318 00:38:44.150 ⇒ 00:38:44.860 Surf’s iPhone: post it.

319 00:38:45.460 ⇒ 00:38:52.120 Uttam Kumaran: When do you… if you… maybe, depending on how far you get today, just, like, livestream stuff into that channel.

320 00:38:52.330 ⇒ 00:39:07.730 Uttam Kumaran: These guys are, like, on Slack all day, so as long as we can send a couple messages per day, I think they’ll be happy. Especially if you make progress on Railway. And then I want to drive towards trying to chat with the other team sometime soon, so as soon as you feel comfortable and you want to chat with them, do that.

321 00:39:07.860 ⇒ 00:39:15.020 Uttam Kumaran: Also, just ask for environment variables as you go, like, different keys and things like that, so we’ll throw them into one pass.

322 00:39:15.320 ⇒ 00:39:25.520 Surf’s iPhone: Cool, sweet, love it, yeah, I’m gonna do that. Ideally, it’s a Docker image, so it should be fine, but if I run into anything, I’ll ping that all in the channel. Actually, the team that set up

323 00:39:25.630 ⇒ 00:39:26.990 Surf’s iPhone: the Lilo stuff…

324 00:39:27.360 ⇒ 00:39:31.230 Surf’s iPhone: Is, because it’s a dev shop, they did it, like, the right way, so they, like, packaged

325 00:39:31.550 ⇒ 00:39:49.900 Surf’s iPhone: as a Docker deployable, which makes it, like, easy to set up on Railway, that kind of stuff. I wish the Remo side was similar, but that thing’s all sorts of… all over the place, so I gotta go wrangle that tiger. So that’s where the vast majority of my time’s gonna be spent, wrangling that thing to, like, get it into a sensible state.

326 00:39:50.390 ⇒ 00:39:51.350 Uttam Kumaran: Okay, okay.

327 00:39:51.350 ⇒ 00:39:51.950 Surf’s iPhone: Sweet.

328 00:39:54.880 ⇒ 00:40:01.479 Awaish Kumar: Okay, one more thing I have on Eden is a question for Ashwini, like, did we…

329 00:40:01.770 ⇒ 00:40:05.649 Awaish Kumar: I, like, updated the secret key for Metaplane connection.

330 00:40:06.320 ⇒ 00:40:07.909 Ashwini Sharma: Oh, no, no, not yet.

331 00:40:08.530 ⇒ 00:40:09.710 Ashwini Sharma: I haven’t done that.

332 00:40:14.600 ⇒ 00:40:18.279 Awaish Kumar: Okay, yeah. So, yeah, let us know when it’s.

333 00:40:20.160 ⇒ 00:40:25.189 Ashwini Sharma: Sure, yeah, yeah, we need to change that, definitely, it’s with a different account. I’ll do that.

334 00:40:26.260 ⇒ 00:40:32.940 Ashwini Sharma: But yeah, maybe we should have a, sort of a common account, right, which can… Hello, I’m done.

335 00:40:32.940 ⇒ 00:40:36.730 Uttam Kumaran: The problem… the problem with meta… the problem with Metaplane is that we can’t have…

336 00:40:37.590 ⇒ 00:40:45.399 Uttam Kumaran: like, you can’t have this one email, multiple orgs. So they keep asking us to do, like, a Sweeney plus something.

337 00:40:45.820 ⇒ 00:40:50.520 Uttam Kumaran: So one is you can change it all to engineering at Brainforge.

338 00:40:51.310 ⇒ 00:40:52.959 Uttam Kumaran: Which is a group email.

339 00:40:53.270 ⇒ 00:40:54.370 Uttam Kumaran: If you want to do that.

340 00:40:58.560 ⇒ 00:41:01.209 Ashwini Sharma: No, no, this was basically, like,

341 00:41:02.830 ⇒ 00:41:14.330 Ashwini Sharma: you know, an account needed to create a token so that that token can be used to report the dbt models build into Metaplane, right? Instead of using a personal account.

342 00:41:15.320 ⇒ 00:41:20.060 Ashwini Sharma: So, if we can create an account like Brainforge plus Eden at the rate

343 00:41:20.220 ⇒ 00:41:25.160 Ashwini Sharma: reinforce.ai, or, like, the same kind of pattern against each of the clients.

344 00:41:26.720 ⇒ 00:41:29.480 Uttam Kumaran: Yeah, I mean, but I guess, what’s blocking that? Like, just go ahead and do that.

345 00:41:30.040 ⇒ 00:41:30.650 Ashwini Sharma: Okay.

346 00:41:31.780 ⇒ 00:41:34.430 Uttam Kumaran: Yeah, like, you can use engineering at Brainforge.

347 00:41:35.290 ⇒ 00:41:38.699 Uttam Kumaran: Engineering Plus Eden, or whatever, and just store… store all…

348 00:41:39.040 ⇒ 00:41:43.340 Uttam Kumaran: I would just keep a record of it, in one pass.

349 00:41:46.260 ⇒ 00:41:47.120 Ashwini Sharma: Okay, yeah.

350 00:41:47.410 ⇒ 00:41:49.069 Ashwini Sharma: I’ll do that too.

351 00:41:51.670 ⇒ 00:41:53.909 Ashwini Sharma: Okay, yeah, I’ll do it.

352 00:41:54.350 ⇒ 00:41:55.140 Uttam Kumaran: Okay, cool.

353 00:41:55.760 ⇒ 00:41:56.830 Awaish Kumar: Pardon me, yeah.

354 00:41:57.780 ⇒ 00:42:07.839 Uttam Kumaran: Alright, I’m still free the next 30 minutes, so I might just chill here and work if anyone wants to just hang out. I mean, Clarence, I was gonna work on the lemonade stand…

355 00:42:08.360 ⇒ 00:42:17.010 Uttam Kumaran: Stuff, but if anyone else wants to hang out, I’m gonna be here, so… But no pressure.

356 00:42:20.490 ⇒ 00:42:22.810 Awaish Kumar: You’re working with Element, or…

357 00:42:23.050 ⇒ 00:42:32.909 Uttam Kumaran: No, no, no, I’m gonna work… me and Clarence were talking about, like, a project yesterday, so some of our… based on our, like, planning conversation for later, so preparing for that, kind of.

358 00:42:33.910 ⇒ 00:42:34.729 Awaish Kumar: Okay, okay.

359 00:42:37.270 ⇒ 00:42:39.060 Clarence Stone: You taught me to have the link to that, right?

360 00:42:39.610 ⇒ 00:42:42.619 Uttam Kumaran: I need the drive link, I need the presentation link.

361 00:42:42.620 ⇒ 00:42:43.630 Clarence Stone: Well, I got you.

362 00:42:45.690 ⇒ 00:42:48.939 Uttam Kumaran: I guess also, maybe,

363 00:42:49.190 ⇒ 00:42:55.640 Uttam Kumaran: Gabe, I know we didn’t… I skipped updates yesterday. Anything on… on your side?

364 00:42:56.890 ⇒ 00:42:59.840 Gabriel Lam: Main thing really has been…

365 00:43:00.180 ⇒ 00:43:06.940 Gabriel Lam: Getting the summaries and linear ticket generation from meetings, like, that flow, a lot more polished.

366 00:43:07.260 ⇒ 00:43:11.430 Gabriel Lam: We started on the migration, but I think the team wants to…

367 00:43:11.600 ⇒ 00:43:14.759 Gabriel Lam: We were documenting what the existing process is, and…

368 00:43:15.650 ⇒ 00:43:26.889 Gabriel Lam: setting up sort of a scaffolding for what we want the new migration, the post-migration to look like. Mustafa and Casey got started on documenting that, and, basically.

369 00:43:28.560 ⇒ 00:43:34.770 Gabriel Lam: Hoping to turn… From, like, specific client hubs to a generic client hub that we can then…

370 00:43:35.520 ⇒ 00:43:45.339 Gabriel Lam: every time we add a new client, that’ll be easily done. So, having a sort of generic object in that way. We are hoping to wait for Sam to come back to then give us, like.

371 00:43:45.500 ⇒ 00:43:49.800 Gabriel Lam: A final review before we break stuff.

372 00:43:50.250 ⇒ 00:43:58.190 Gabriel Lam: Potentially. So this week we sort of see it as, like, a documentation and planning week for the migration.

373 00:43:58.430 ⇒ 00:44:00.660 Gabriel Lam: On the side, I have…

374 00:44:00.840 ⇒ 00:44:08.309 Gabriel Lam: a couple features and ideas that I think we can implement that I’ll be working on, trying to either do a PRD or have, like, a sort of

375 00:44:08.620 ⇒ 00:44:10.450 Gabriel Lam: sketch for.

376 00:44:10.780 ⇒ 00:44:13.690 Gabriel Lam: So that’s internal stuff, and…

377 00:44:13.820 ⇒ 00:44:17.840 Gabriel Lam: depending on how much capacity Casey and Mustafa have today.

378 00:44:18.570 ⇒ 00:44:21.510 Gabriel Lam: outside of client work, I can check in with them.

379 00:44:22.150 ⇒ 00:44:23.110 Uttam Kumaran: Okay, okay.

380 00:44:23.630 ⇒ 00:44:30.859 Uttam Kumaran: Yeah, we have one, new engineer on the AI team that’s, like, that we’re sort of in the final rounds, and then…

381 00:44:31.040 ⇒ 00:44:41.640 Uttam Kumaran: I’m meeting with some… interns here in Austin, like, potential people, tomorrow,

382 00:44:43.310 ⇒ 00:44:55.059 Uttam Kumaran: And then… yeah, I need to… we’re basically… we’re closing out recruiting for a sales coordinator, PM coordinator, ops coordinator, and then I’m moving back, and then also…

383 00:44:55.580 ⇒ 00:45:02.449 Uttam Kumaran: data… some data folks, and then I will shift back into AI, and…

384 00:45:02.700 ⇒ 00:45:07.550 Uttam Kumaran: And then I’ll… I’ll loop back around, so… Fantastic. Yeah.

385 00:45:09.050 ⇒ 00:45:22.220 Uttam Kumaran: Okay, cool. I guess one question is, does anyone… do you need access to magic patterns, or does anyone else need access? I guess, like, who else is doing UI stuff? Surf, I can give you access, if you want to go play around.

386 00:45:24.370 ⇒ 00:45:27.759 Uttam Kumaran: This is for, like, U, like, UI.

387 00:45:28.050 ⇒ 00:45:32.100 Uttam Kumaran: like, UI, UX.

388 00:45:32.100 ⇒ 00:45:34.149 Surf’s iPhone: Yep, yeah. Send me access to it.

389 00:45:34.580 ⇒ 00:45:35.190 Uttam Kumaran: Okay.

390 00:45:35.650 ⇒ 00:45:40.869 Uttam Kumaran: Does anyone else, like… Have you been using it, Gabe?

391 00:45:41.860 ⇒ 00:45:47.950 Gabriel Lam: I’ve been trying to figure out how the credits thing work, because I know we’re still on the free plan, I don’t want to just go in.

392 00:45:47.950 ⇒ 00:45:53.799 Uttam Kumaran: Dude, why don’t I… I’ll just upgrade you. Which one… which account are you using? I’m gonna… should I… I’m gonna remove… well…

393 00:45:54.820 ⇒ 00:45:56.969 Uttam Kumaran: I can upgrade the engineering one.

394 00:45:56.970 ⇒ 00:45:59.420 Gabriel Lam: Yeah, that’s the one I’ve been using, really.

395 00:45:59.600 ⇒ 00:46:05.500 Uttam Kumaran: Okay. I’m trying to go a little slower and just make sure we’re not burning. How many messages, like, how many…

396 00:46:07.490 ⇒ 00:46:09.720 Uttam Kumaran: I’m just gonna give you the…

397 00:46:11.180 ⇒ 00:46:14.099 Uttam Kumaran: I’m just gonna give you the pro amount, and you just let me know.

398 00:46:14.100 ⇒ 00:46:14.770 Gabriel Lam: Alright.

399 00:46:28.200 ⇒ 00:46:34.509 Uttam Kumaran: I think you’re gonna be, like, on steroids with this, so that’s why I wanna, like, make sure you just have access to.

400 00:46:34.510 ⇒ 00:46:35.080 Gabriel Lam: Yeah.

401 00:46:42.660 ⇒ 00:46:48.039 Uttam Kumaran: Okay, cool. Yeah, everyone else, feel free to drop or hang out, no problem.

402 00:46:50.620 ⇒ 00:46:52.099 Awaish Kumar: Okay, thank you, everyone.

403 00:46:53.180 ⇒ 00:46:53.830 Uttam Kumaran: Thanks.

404 00:46:53.830 ⇒ 00:46:54.540 Clarence Stone: Thanks!

405 00:46:56.900 ⇒ 00:46:57.770 Demilade Agboola: Thank you, everyone.

406 00:46:57.770 ⇒ 00:46:58.770 Gabriel Lam: Thank you.

407 00:46:59.110 ⇒ 00:46:59.620 Uttam Kumaran: Thanks, dude.

408 00:46:59.620 ⇒ 00:47:08.330 Ashwini Sharma: Hey, Utam, what does it take to, you know, create a 510 account? Like, I’ve never been on the other side, creating accounts, right, so…

409 00:47:09.530 ⇒ 00:47:15.230 Uttam Kumaran: I would… I would suggest we create the account with the CTA domain.

410 00:47:15.460 ⇒ 00:47:22.710 Uttam Kumaran: So the one problem is if we create it with the Brainforge account, then transferring is a nightmare. We just dealt with that.

411 00:47:23.090 ⇒ 00:47:25.579 Uttam Kumaran: All they have to do is go create a trial.

412 00:47:26.220 ⇒ 00:47:28.960 Uttam Kumaran: So… are you talking for CTA?

413 00:47:29.180 ⇒ 00:47:30.459 Ashwini Sharma: Yeah, for CDA. Yeah, yeah.

414 00:47:30.460 ⇒ 00:47:34.470 Uttam Kumaran: I would just… I would… I would ask, Catherine to just go create a trial.

415 00:47:34.670 ⇒ 00:47:41.220 Uttam Kumaran: But, like, she’s… she’s basically deciding still, so… Yeah.

416 00:47:41.710 ⇒ 00:47:46.750 Uttam Kumaran: We also didn’t get CTA emails, so it’s on her to go create the trial account.

417 00:47:47.120 ⇒ 00:47:48.570 Ashwini Sharma: Okay, alright.

418 00:47:49.820 ⇒ 00:47:52.260 Ashwini Sharma: Yeah, we’ll ping her today.

419 00:47:53.040 ⇒ 00:47:54.929 Uttam Kumaran: Yeah, check out my thread with her, yeah.

420 00:47:54.930 ⇒ 00:48:00.120 Ashwini Sharma: Yeah, yeah, I went through that thread in the morning itself, and…

421 00:48:01.350 ⇒ 00:48:05.490 Ashwini Sharma: Yeah, let me finish whatever I want to do today, and so that,

422 00:48:06.410 ⇒ 00:48:11.380 Ashwini Sharma: Yeah, when she runs the connector, we would be ready to process that data.

423 00:48:14.380 ⇒ 00:48:22.139 Ashwini Sharma: Okay. Alright, okay, I’m gonna drop off, I need some info from Avaesh, and I’ll start on that here. Alright.

424 00:48:22.140 ⇒ 00:48:23.670 Uttam Kumaran: Okay, okay. Thanks, dude.

425 00:48:29.240 ⇒ 00:48:31.100 Uttam Kumaran: Yeah, good morning, everyone.

426 00:48:34.700 ⇒ 00:48:38.439 Clarence Stone: I’m throwing in some lemonades and cookies for you into the slide.

427 00:48:38.440 ⇒ 00:48:45.250 Uttam Kumaran: Okay, cool, yeah, I was gonna say where you want me to work, but yeah, I, like… I was gonna do last night, but I was like.

428 00:48:45.540 ⇒ 00:48:46.990 Uttam Kumaran: Let me just sleep.

429 00:48:47.790 ⇒ 00:48:54.189 Uttam Kumaran: let me just sleep, and then I’ll, I’ll, like, my brain will, will, like, unconscious brain will process.

430 00:48:54.430 ⇒ 00:48:57.109 Clarence Stone: It’s an interesting analogy to think on.

431 00:48:57.110 ⇒ 00:49:03.710 Uttam Kumaran: No, I think it’s great! I mean, I actually… I actually think Mustafa being here is good, too, because we can run some of these ideas.

432 00:49:03.910 ⇒ 00:49:09.130 Uttam Kumaran: see what he thinks, but I think it’s a great, like, simplification, and…

433 00:49:09.770 ⇒ 00:49:17.040 Uttam Kumaran: yeah, it’s… I think it’s, like, very pleasant, and it lends to, like, good visuals and, like, a good explanation for everybody. I don’t know, like.

434 00:49:17.260 ⇒ 00:49:23.009 Uttam Kumaran: Mustafa, is there, like, do you know what, like, is there… is there an equivalent of, like, lemonade stand in Pakistan?

435 00:49:23.440 ⇒ 00:49:24.310 Mustafa Raja: No.

436 00:49:24.970 ⇒ 00:49:26.539 Mustafa Raja: You know what we’re talking about, right?

437 00:49:26.540 ⇒ 00:49:27.679 Uttam Kumaran: Lemonade stand?

438 00:49:27.680 ⇒ 00:49:32.620 Mustafa Raja: Yeah, yeah, I know that. But there have been equivalent ideas recently.

439 00:49:32.620 ⇒ 00:49:34.780 Uttam Kumaran: In India, there’s, like, sugar cane stand.

440 00:49:34.780 ⇒ 00:49:35.630 Clarence Stone: Oh, yeah!

441 00:49:35.630 ⇒ 00:49:36.440 Mustafa Raja: Oh!

442 00:49:36.810 ⇒ 00:49:40.619 Mustafa Raja: Oh yeah, those we do have, those we do have, yeah.

443 00:49:41.240 ⇒ 00:49:42.280 Uttam Kumaran: Yeah, okay.

444 00:49:42.280 ⇒ 00:49:47.780 Mustafa Raja: And recently, we have been having, donut stands.

445 00:49:47.780 ⇒ 00:49:49.120 Uttam Kumaran: Oh, really?

446 00:49:49.120 ⇒ 00:49:54.919 Mustafa Raja: Yeah, so people would, pull up in their cars and, on some roadside, they’d open up

447 00:49:55.180 ⇒ 00:50:03.309 Mustafa Raja: The… the boots and… Yeah, they’d set up a stand there.

448 00:50:04.400 ⇒ 00:50:08.539 Mustafa Raja: For donuts. Yeah, I have… I just have right across my house.

449 00:50:08.960 ⇒ 00:50:11.410 Mustafa Raja: One guy pulls up every now and then.

450 00:50:23.550 ⇒ 00:50:33.080 Uttam Kumaran: And then I also, dude, I told you, if I can… if I get you a… if I get you a webcam, then I better see some… I better see that beautiful face more often.

451 00:50:33.160 ⇒ 00:50:34.430 Mustafa Raja: Hopefully.

452 00:50:35.870 ⇒ 00:50:40.099 Uttam Kumaran: Clarence, Mustafa looks like a movie star, and…

453 00:50:41.740 ⇒ 00:50:46.969 Uttam Kumaran: And I… I don’t know, I just… he’s shy. And I was like, dude, you gotta, like…

454 00:50:51.770 ⇒ 00:50:53.390 Clarence Stone: We gotta rock it, man, it’s fine.

455 00:50:53.390 ⇒ 00:50:54.720 Uttam Kumaran: I know, I know.

456 00:51:46.810 ⇒ 00:51:53.889 Clarence Stone: Hey, you Tom, our 11 o’clock. I’m gonna be, like, 10-15 minutes late. I have another call to hop on.

457 00:51:53.890 ⇒ 00:51:55.540 Uttam Kumaran: Oh, yeah, yeah, yeah, don’t worry, don’t worry.

458 00:51:55.540 ⇒ 00:51:56.529 Clarence Stone: Okay, okay, cool.

459 00:51:58.540 ⇒ 00:52:01.749 Clarence Stone: Alright, you got your lemonade, and you got your cookie.

460 00:52:03.500 ⇒ 00:52:07.180 Mustafa Raja: So are you going to set up a lemonade stand in Texas or something?

461 00:52:07.180 ⇒ 00:52:09.170 Uttam Kumaran: No, I wish that, you know…

462 00:52:09.470 ⇒ 00:52:12.979 Uttam Kumaran: You don’t want me running a lemonade stand, it would not be fun.

463 00:52:13.980 ⇒ 00:52:14.620 Mustafa Raja: Oh.

464 00:52:15.700 ⇒ 00:52:23.789 Uttam Kumaran: Meaning, like, Yeah, we’re gonna have to pump out several… we’re gonna launch with several flavors, rewards program.

465 00:52:24.040 ⇒ 00:52:26.880 Uttam Kumaran: Like, too much.

466 00:52:29.500 ⇒ 00:52:37.869 Uttam Kumaran: I was talking to my girlfriend, I was like, yeah, maybe we should do a bakery one day, and you can… she can run the front of the house, I’ll run the back of the house, and then I said.

467 00:52:38.100 ⇒ 00:52:42.830 Uttam Kumaran: you know, honestly, you don’t… probably just don’t want me in that setting, honestly, because I…

468 00:52:43.750 ⇒ 00:52:47.950 Uttam Kumaran: I don’t know if I can, like… I would have to win.

469 00:52:48.900 ⇒ 00:52:51.690 Uttam Kumaran: And I don’t know, like, we’d have to be running

470 00:52:51.860 ⇒ 00:52:55.949 Uttam Kumaran: we’d have to be running dynamic pricing. I already… you know, I did a…

471 00:52:56.290 ⇒ 00:53:01.999 Uttam Kumaran: one day I was, like, maybe, like, 6 or 7 months ago, I was at a coffee shop. There’s a coffee shop here in Austin that…

472 00:53:02.150 ⇒ 00:53:08.420 Uttam Kumaran: Stays open late, and I go there often, because it’s the only… one of the few

473 00:53:08.840 ⇒ 00:53:13.869 Uttam Kumaran: it’s, like, the only coffee shop open after, like, 11pm, and…

474 00:53:14.100 ⇒ 00:53:19.199 Uttam Kumaran: I was… they charge… they… they give you a 2-hour Wi-Fi code when you buy something.

475 00:53:19.400 ⇒ 00:53:23.940 Uttam Kumaran: And I was like, more places to charge for Wi-Fi, because I basically…

476 00:53:24.050 ⇒ 00:53:28.210 Uttam Kumaran: started the company, like, at a coffee shop, like, for, like, 6 months, and I…

477 00:53:28.510 ⇒ 00:53:29.130 Mustafa Raja: Oh.

478 00:53:29.620 ⇒ 00:53:39.659 Uttam Kumaran: I paid $5 a day, but, like, they could have totally charged me for Wi-Fi, and so I looked into a lot of different, like, open source packages around how to build, like, gated Wi-Fi.

479 00:53:39.920 ⇒ 00:53:45.380 Uttam Kumaran: And I was thinking about an idea for a service that would help

480 00:53:46.010 ⇒ 00:53:52.409 Uttam Kumaran: these types of, like, third spaces monetize Wi-Fi during peak times.

481 00:53:52.560 ⇒ 00:53:57.159 Uttam Kumaran: Because one of the things that people in Austin do here is they have, like, no laptops.

482 00:53:57.290 ⇒ 00:54:09.419 Uttam Kumaran: times, but after 4, you can’t have laptops. But even during the day, like, most of the people here are working for companies. You can totally charge them, but they’re coming in and paying $5 a day, and maybe driving

483 00:54:09.670 ⇒ 00:54:15.000 Uttam Kumaran: Tens of thousands of dollars for their company, you know, in revenue or actions.

484 00:54:15.260 ⇒ 00:54:16.460 Uttam Kumaran: So…

485 00:54:17.050 ⇒ 00:54:27.360 Uttam Kumaran: I didn’t want to make it too complicated, like, I didn’t want to do, like, a metered system by, like, gigs or anything. I was mainly wanting to just do, like, you pay an hourly fee to use the Wi-Fi.

486 00:54:27.530 ⇒ 00:54:29.320 Uttam Kumaran: And…

487 00:54:29.440 ⇒ 00:54:34.599 Uttam Kumaran: But the thing is, like, coffee shop owners, and these guys are non-technical, so you have to build, like, a service

488 00:54:34.720 ⇒ 00:54:37.160 Uttam Kumaran: That makes it really easy for them to, like.

489 00:54:37.270 ⇒ 00:54:39.299 Uttam Kumaran: Get it on their local network.

490 00:54:39.560 ⇒ 00:54:44.870 Uttam Kumaran: And then build the, like, landing page to gate, put your card in.

491 00:54:45.190 ⇒ 00:54:45.610 Mustafa Raja: Yeah.

492 00:54:45.610 ⇒ 00:54:48.709 Uttam Kumaran: There’s… there’s 2 companies that do this right now out in Europe.

493 00:54:49.080 ⇒ 00:55:02.480 Uttam Kumaran: And I found them, and I was like, we could just clone this product. And then, basically, it gives… I mean, Austin in particular, where there’s a lot of remote workforce, they could drive, you know, at least, like, probably a couple hundred dollars more per day.

494 00:55:02.630 ⇒ 00:55:03.460 Uttam Kumaran: Easily.

495 00:55:04.550 ⇒ 00:55:12.709 Uttam Kumaran: you know, charging 5 to 10 bucks, and then during peak times, like, when you notice there’s tons of MAC addresses connected, you can just…

496 00:55:13.260 ⇒ 00:55:16.300 Uttam Kumaran: raise the prices, right? And…

497 00:55:17.330 ⇒ 00:55:24.040 Uttam Kumaran: Yeah, and that was, like, something I wanted to do, but I don’t have time to do, but that was… that was just an idea for y’all to… that’s a freebie.

498 00:55:26.090 ⇒ 00:55:29.370 Mustafa Raja: Yeah, maybe, maybe, maybe I can do that in parts or something.

499 00:55:29.750 ⇒ 00:55:31.569 Uttam Kumaran: Yeah, dude, please.

500 00:55:31.960 ⇒ 00:55:36.609 Uttam Kumaran: Or, you call me one of these weekends, I’ll vibe coda with you, but we have to get

501 00:55:36.950 ⇒ 00:55:38.160 Uttam Kumaran: 48 hours.

502 00:55:38.300 ⇒ 00:55:40.680 Uttam Kumaran: Because Monday hits, I have no time.

503 00:55:41.180 ⇒ 00:55:42.560 Mustafa Raja: I think it’s doable.

504 00:55:50.470 ⇒ 00:55:56.310 Clarence Stone: Yeah, is 8 closer to what you were saying? Like, the product lines are your service lines.

505 00:55:57.290 ⇒ 00:56:00.310 Uttam Kumaran: Yeah, so almost what I wanted to do is, like.

506 00:56:02.190 ⇒ 00:56:05.410 Uttam Kumaran: like, maybe what I’m gonna do in the next slide…

507 00:56:05.590 ⇒ 00:56:10.480 Uttam Kumaran: Is, like, just roughly, like, map out what those are.

508 00:56:10.480 ⇒ 00:56:11.260 Clarence Stone: Yes.

509 00:56:22.020 ⇒ 00:56:27.970 Uttam Kumaran: And let me just, like, I’m gonna just have ChatGBT tell me some other, like, items that we could consider for this analogy.

510 00:56:28.730 ⇒ 00:56:31.559 Uttam Kumaran: Or can I use a Gemini within this guy?

511 00:56:31.760 ⇒ 00:56:36.060 Uttam Kumaran: I upgraded our Google Workspace, how do I… where is the… is there a Gemini button?

512 00:56:36.260 ⇒ 00:56:37.739 Clarence Stone: The star on the top right.

513 00:56:40.260 ⇒ 00:56:41.330 Uttam Kumaran: Oh…

514 00:56:42.500 ⇒ 00:56:46.619 Clarence Stone: the lazy UX icon to indicate anything with AI?

515 00:56:48.120 ⇒ 00:56:51.629 Uttam Kumaran: You know how many people are never gonna click on that?

516 00:56:54.930 ⇒ 00:56:56.889 Clarence Stone: It looks so innocuous.

517 00:56:56.890 ⇒ 00:57:03.930 Uttam Kumaran: Their company bought Gemini’s paying all this money, and then they fuck up the, like… like here, like, to use AI.

518 00:57:06.230 ⇒ 00:57:15.759 Uttam Kumaran: So, I’m working on a… Lemonade stand analogy… With my…

519 00:57:16.320 ⇒ 00:57:21.770 Uttam Kumaran: company, Brainforge. We’re thinking about various different menu items to…

520 00:57:21.960 ⇒ 00:57:29.910 Uttam Kumaran: match up with, like, services we offer. So right now, we have lemonade, and we have cookies. I need some help thinking through, like, other fictitious…

521 00:57:31.870 ⇒ 00:57:39.880 Uttam Kumaran: items that we could sell that, like, start to build up this analogy. And ideally, what we’re sort of driving towards is…

522 00:57:40.130 ⇒ 00:57:51.549 Uttam Kumaran: There will be owners of different menu items as part of the lemonade stand, and that allows Robert and I to go move up a layer to start thinking about new

523 00:57:52.040 ⇒ 00:58:00.459 Uttam Kumaran: Menu items to add, or potentially going into other drinks in general, other drinks or form factors in general.

524 00:58:02.560 ⇒ 00:58:04.239 Uttam Kumaran: Okay, let’s see what it says.

525 00:58:11.790 ⇒ 00:58:14.759 Uttam Kumaran: Sweet tea, iced coffee, salty pretzels.

526 00:58:16.340 ⇒ 00:58:17.430 Uttam Kumaran: Hot cocoa.

527 00:58:17.630 ⇒ 00:58:27.510 Uttam Kumaran: Seasonal. So I like hot cocoa as, like, sort of a, oh, yeah. Okay, so that’s, like, a season… so that’s a good example. So can I… are you using the nano banana to create the images?

528 00:58:28.480 ⇒ 00:58:35.539 Clarence Stone: I’m actually, like, I’m taking this from my image library. I already have these.

529 00:58:35.540 ⇒ 00:58:41.560 Uttam Kumaran: Let me… I’m gonna say create a suite… be in Create.

530 00:58:42.010 ⇒ 00:58:42.570 Uttam Kumaran: Comfortable.

531 00:58:48.420 ⇒ 00:58:50.700 Clarence Stone: Oh, the cookie I generated, yeah.

532 00:59:04.260 ⇒ 00:59:12.240 Uttam Kumaran: This is great. It’s taking 6 hours to generate a small image, an icon of a… of hot cocoa, I guess.

533 00:59:13.650 ⇒ 00:59:18.740 Uttam Kumaran: generate the icon PNGs for each.

534 00:59:28.870 ⇒ 00:59:33.419 Uttam Kumaran: Okay, I’m… I’m over this, it’s not working. I’m moving ChatGPT.

535 00:59:34.860 ⇒ 00:59:37.400 Uttam Kumaran: It just… it’s spinning.

536 00:59:38.280 ⇒ 00:59:40.229 Clarence Stone: Everybody has their favorite LLM.

537 00:59:43.960 ⇒ 00:59:46.630 Uttam Kumaran: Look, I don’t… I don’t have a favor, they were first.

538 00:59:47.030 ⇒ 00:59:50.549 Uttam Kumaran: And so, they’re, you know, that’s first mover’s advantage.

539 00:59:52.910 ⇒ 00:59:57.699 Clarence Stone: I’m, I’m really loving perplexity for, like, general search these days.

540 00:59:57.700 ⇒ 01:00:08.739 Uttam Kumaran: Oh, yeah, I have… and dude, you know, oh, Ryan told me this on our team, if you hook up your PayPal, you get free year of Perplexity, so a bunch of us have a free year, yeah.

541 01:00:09.070 ⇒ 01:00:11.560 Clarence Stone: There you go, I did that, it was such a good deal.

542 01:00:15.560 ⇒ 01:00:24.679 Uttam Kumaran: I… people are… people… some people are like, it’s sort of useless, some people like Perplexity. I think it’s better than Google Search, but it’s still not, like…

543 01:00:25.260 ⇒ 01:00:26.280 Uttam Kumaran: Great.

544 01:00:26.580 ⇒ 01:00:27.479 Uttam Kumaran: You know?

545 01:00:28.760 ⇒ 01:00:31.859 Clarence Stone: I, I like the UI in that it’s fast.

546 01:00:33.940 ⇒ 01:00:34.990 Uttam Kumaran: Mmm…

547 01:00:42.440 ⇒ 01:00:45.919 Clarence Stone: So it’s really great for, like, the small things that…

548 01:00:47.000 ⇒ 01:00:53.289 Clarence Stone: I don’t really care too much about. It’s like, hey, make me a simple image of this, or like, search this for me.

549 01:00:55.870 ⇒ 01:00:56.760 Uttam Kumaran: Hmm…

550 01:01:33.030 ⇒ 01:01:39.639 Clarence Stone: So, by the way, you reconfigured the analogy last night, though. It made a lot of sense, because

551 01:01:40.100 ⇒ 01:01:47.629 Clarence Stone: Like, if you treated it like any kitchen, it would be that person that’s expediting the orders.

552 01:01:48.100 ⇒ 01:01:53.210 Clarence Stone: It’s the person that says, Table 5 wants 2 lemonades and a cookie.

553 01:01:53.490 ⇒ 01:02:02.749 Clarence Stone: Right, and it’s staged there, and that person walks up and goes, okay, table 5 asked for this, okay, this is correct, let me give it to table 5.

554 01:02:05.070 ⇒ 01:02:22.830 Clarence Stone: Right, and right now, in that analogy, you guys are the one that’s… that are doing that. You double-check that the lemonade is right, it has the strawberry flavor in it, that, oh yeah, they need a cookie too, you verify that, and then you turn around and give it to the client, right? So, you guys are that connecting tissue between

555 01:02:23.660 ⇒ 01:02:27.269 Clarence Stone: That vertical stack of production that’s happening.

556 01:02:32.500 ⇒ 01:02:44.889 Clarence Stone: And that’s why I said, like, earlier, like, before I even, you know, started looking into this, it’s like, I still do believe that that same person is best off having the client interaction, too.

557 01:02:45.800 ⇒ 01:02:48.919 Uttam Kumaran: No, no, no, I… I… and that’s why I’m… I want to just.

558 01:02:48.920 ⇒ 01:02:49.570 Clarence Stone: It seems like a groc.

559 01:02:49.570 ⇒ 01:02:53.449 Uttam Kumaran: I wanna… yeah, yeah, like, I’m okay with that as well, like…

560 01:02:53.980 ⇒ 01:02:59.289 Uttam Kumaran: And I want to debate every assumption we’re making here, like, because I, you know, in some of this…

561 01:02:59.630 ⇒ 01:03:06.039 Uttam Kumaran: It will be just because of the state we’re in, but some of this, like, may be where we have to go, so… yeah.

562 01:03:07.100 ⇒ 01:03:14.740 Clarence Stone: Yeah, because, I mean, in the analogy, it’s kind of cool. This person sees everything that they’re about to… to give.

563 01:03:15.450 ⇒ 01:03:18.659 Clarence Stone: to the client before, right? So there is this…

564 01:03:18.810 ⇒ 01:03:25.230 Clarence Stone: Natural, built-in human gait check of quality and understanding about what you’re delivering.

565 01:03:26.030 ⇒ 01:03:26.650 Uttam Kumaran: Yeah.

566 01:05:27.590 ⇒ 01:05:32.879 Clarence Stone: Dude, Material Icon Library still hasn’t called their star icon AI yet.

567 01:05:42.180 ⇒ 01:05:43.150 Uttam Kumaran: That’s funny.

568 01:07:01.150 ⇒ 01:07:06.839 Uttam Kumaran: Yeah, I want to keep it simple, but, like, we can get further into, like, what is a… what is a…

569 01:07:07.080 ⇒ 01:07:16.020 Uttam Kumaran: Product versus an add-on, which ones can be bundled? Because ultimately, the customer should not care about this abstraction, right?

570 01:07:17.210 ⇒ 01:07:22.650 Uttam Kumaran: So, I do wanna, like… One thing I just want to make sure is that

571 01:07:23.530 ⇒ 01:07:34.820 Uttam Kumaran: when you come to buy, it doesn’t look… it’s like you’re buying the car. You don’t care. You’re buying the car with the ones you want, and you don’t… it looks like it’s coming from Tesla. It doesn’t look like it’s, like.

572 01:07:34.930 ⇒ 01:07:41.649 Uttam Kumaran: Bob over here, Joe over here, you know, like that, so that’s just something that we’ll have to… we’ll have to think further about, but…

573 01:07:41.650 ⇒ 01:07:47.770 Clarence Stone: I mean, great point. If you look at what I’m sketching up now, It kind of talks about.

574 01:07:47.770 ⇒ 01:07:48.720 Uttam Kumaran: Yeah, yeah, yeah.

575 01:07:48.720 ⇒ 01:07:49.200 Clarence Stone: Right, because.

576 01:07:49.200 ⇒ 01:07:50.060 Uttam Kumaran: Exactly.

577 01:07:50.380 ⇒ 01:07:53.219 Clarence Stone: We want to think about what these crosscuts are.

578 01:07:54.980 ⇒ 01:07:55.720 Uttam Kumaran: Yeah.

579 01:07:57.480 ⇒ 01:07:59.319 Clarence Stone: be… yeah, like…

580 01:08:02.030 ⇒ 01:08:10.619 Clarence Stone: And I think this is a great visualization of, like, just the overall theme of the conversation from yesterday is, like, what is the right crosscut?

581 01:08:11.410 ⇒ 01:08:15.280 Clarence Stone: Right? For… for meetings and discussions and…

582 01:08:15.650 ⇒ 01:08:31.979 Clarence Stone: And growth overall. And, you know, in this diagram, you’re seeing that distinct challenge of, you know, you’ve got, let’s say, an analytics team that’s working on multiple projects across multiple clients, right? And…

583 01:08:32.240 ⇒ 01:08:44.519 Clarence Stone: That’s a horizontal stack of competency, but if you cross-cut those same teams and same people, by client, you’re seeing that, you know, it’s a different stack altogether.

584 01:08:46.200 ⇒ 01:08:56.899 Clarence Stone: And really what we’re contending with is there are meetings for these horizontal cuts right now, and you guys are filling in those vertical stack roles right now.

585 01:08:58.189 ⇒ 01:08:58.929 Clarence Stone: Right.

586 01:09:00.109 ⇒ 01:09:06.859 Clarence Stone: So maybe I’ll color these in slightly different. And then, like, it’s on us to refine

587 01:09:09.699 ⇒ 01:09:14.509 Clarence Stone: What the behaviors of somebody that’s in that vertical cut is gonna be like.

588 01:09:19.339 ⇒ 01:09:21.749 Clarence Stone: What is somebody who’s running.

589 01:09:22.520 ⇒ 01:09:25.879 Uttam Kumaran: Well, who… who… yeah, and who has to be in the meeting?

590 01:09:27.130 ⇒ 01:09:30.060 Uttam Kumaran: It’s almost like the adjacency or something, yeah.

591 01:09:30.370 ⇒ 01:09:31.050 Clarence Stone: Yeah.

592 01:09:31.050 ⇒ 01:09:31.640 Uttam Kumaran: -Oh.

593 01:09:36.850 ⇒ 01:09:37.680 Clarence Stone: So…

594 01:09:42.149 ⇒ 01:09:52.310 Clarence Stone: Right, and I think this goes back to what I was saying yesterday, that, like, these horizontal cuts are the ones that know how to make lemonade.

595 01:09:52.580 ⇒ 01:09:53.439 Clarence Stone: Right.

596 01:09:53.560 ⇒ 01:09:57.440 Clarence Stone: But it’s very different than running the whole lemonade stand.

597 01:10:00.250 ⇒ 01:10:00.870 Uttam Kumaran: Yeah.

598 01:10:03.680 ⇒ 01:10:07.029 Clarence Stone: It’s like, in order to run that, you need this vertical cut.

599 01:10:08.680 ⇒ 01:10:09.270 Uttam Kumaran: Yeah.

600 01:10:20.110 ⇒ 01:10:25.189 Uttam Kumaran: So one thing I’m gonna do, and maybe I can… I can get your help with this, is, like.

601 01:10:26.090 ⇒ 01:10:34.150 Uttam Kumaran: I think we’ll just have different cuts of the same analogy. I’m… should I just put people’s… I may just put people’s faces in here.

602 01:10:34.410 ⇒ 01:10:34.959 Clarence Stone: Yeah, sure.

603 01:10:35.740 ⇒ 01:10:37.649 Clarence Stone: I’ll give you better images.

604 01:10:39.510 ⇒ 01:10:40.090 Uttam Kumaran: Okay.

605 01:10:41.980 ⇒ 01:10:44.029 Clarence Stone: Have you got cupcakes? Nice.

606 01:10:47.230 ⇒ 01:10:48.440 Uttam Kumaran: Yeah, so I’m gonna put…

607 01:10:49.300 ⇒ 01:10:51.279 Clarence Stone: Oh, it’s 9.30, I gotta go to Roberts.

608 01:10:51.830 ⇒ 01:10:53.679 Uttam Kumaran: I think this is the same link, so…

609 01:10:53.680 ⇒ 01:10:55.459 Clarence Stone: That’s okay.

610 01:10:55.700 ⇒ 01:10:56.230 Uttam Kumaran: Yeah.

611 01:11:05.250 ⇒ 01:11:06.320 Robert Tseng: Hello.

612 01:11:07.770 ⇒ 01:11:08.840 Clarence Stone: Hello, hello!

613 01:11:09.270 ⇒ 01:11:10.080 Uttam Kumaran: Hello.

614 01:11:59.870 ⇒ 01:12:03.050 Robert Tseng: Alright, I think that’s enough to get started.

615 01:12:05.660 ⇒ 01:12:09.760 Robert Tseng: So… yeah, so I’m just gonna do it throughout my huge screen.

616 01:12:10.240 ⇒ 01:12:13.260 Robert Tseng: We’ll do… we’ll start with Eden today.

617 01:12:13.550 ⇒ 01:12:20.680 Robert Tseng: Okay, I mean, I think this is kind of coming out. I think…

618 01:12:22.640 ⇒ 01:12:29.759 Robert Tseng: What do we have here? Alright, I’m gonna skip the DE step, and we’ll just go straight into Henry and Zoran.

619 01:12:29.900 ⇒ 01:12:32.389 Robert Tseng: I guess, Henry, we’ll start with you today.

620 01:12:35.710 ⇒ 01:12:47.399 Henry Zhao: Okay, so Robert and I met on, like, some of the analysis ideas for 2026 yesterday. If anyone’s curious, like, kind of what we discussed there, I have a spreadsheet that kind of lists that out.

621 01:12:47.740 ⇒ 01:12:53.709 Henry Zhao: I… the analyze repeat orders for 2025 is done.

622 01:12:54.180 ⇒ 01:12:57.089 Henry Zhao: But, Casey’s helping me connect,

623 01:12:57.370 ⇒ 01:13:00.110 Henry Zhao: Wobbly and whatever to the,

624 01:13:00.480 ⇒ 01:13:04.250 Henry Zhao: the BigQuery database so that we can test to see if that works for this analysis.

625 01:13:04.600 ⇒ 01:13:11.440 Henry Zhao: But I’m not sure it will, but I guess that’ll give some feedback for Casey on, like, improvements that we can make.

626 01:13:11.600 ⇒ 01:13:14.049 Henry Zhao: Just cause some of the things are kind of, like.

627 01:13:14.820 ⇒ 01:13:18.749 Henry Zhao: you need a little bit of knowledge of Eden to kind of, be able to do that.

628 01:13:19.310 ⇒ 01:13:21.279 Henry Zhao: But yeah, Casey, we can talk about that.

629 01:13:22.270 ⇒ 01:13:23.610 Henry Zhao: And then…

630 01:13:25.020 ⇒ 01:13:38.720 Henry Zhao: Split ad campaigns by drug is a new one, but basically, we want to see if we can split up the ad campaigns based on, like, whatever’s in their name by drug, so we can analyze ad spend by drug and look at how much,

631 01:13:38.990 ⇒ 01:13:41.319 Henry Zhao: Conversions and how much revenue is being brought in.

632 01:13:41.550 ⇒ 01:13:45.290 Henry Zhao: By ad spend. And that’ll help us with the forecasting and stuff like that.

633 01:13:45.490 ⇒ 01:13:54.560 Henry Zhao: Additionally, I scheduled a call with Jonah next Monday, and I invited Sezim. We’re gonna talk about the forecasting tasks that we want to do, moving forward.

634 01:13:56.770 ⇒ 01:14:02.029 Robert Tseng: Okay, you already met with SEZM on the forecast, I guess, kind of what’s…

635 01:14:02.460 ⇒ 01:14:07.000 Robert Tseng: Is she… have you brought her up to speed?

636 01:14:08.590 ⇒ 01:14:09.409 Henry Zhao: I don’t think she has…

637 01:14:09.410 ⇒ 01:14:11.290 Robert Tseng: Like, what’s the outcome there?

638 01:14:12.120 ⇒ 01:14:27.330 Henry Zhao: Yeah, so I’m having her look at, like, some of the docs and, like, the ideas that we had, and as well as what Jonah requested in the initial, linear task, and then we’re gonna probably meet again later this week to just kind of walk through her feedback, and if she has any additional ideas, and then we’re gonna talk through that with Jonah on Monday.

639 01:14:27.860 ⇒ 01:14:28.900 Robert Tseng: Okay, great.

640 01:14:28.910 ⇒ 01:14:35.519 Henry Zhao: Yeah, see if he agrees. But one thing that’s missing is this, like, splitting ad campaigns by drug, because we want to see

641 01:14:35.900 ⇒ 01:14:42.469 Henry Zhao: For forecasting, if we can make it detailed to the level of pharmacy and drug, and

642 01:14:43.150 ⇒ 01:14:44.670 Henry Zhao: Yeah, basically that’s it.

643 01:14:46.140 ⇒ 01:14:49.060 Henry Zhao: And then one of my to-dos is to understand how

644 01:14:49.130 ⇒ 01:15:06.350 Henry Zhao: the prescriptions get delegated to the pharmacies, so I… can you put that into the forecasting model, right? So, like, as a number of prescriptions coming in grows, how does that get, like, distributed to the pharmacies? And how do we know what their, like, capacity is?

645 01:15:07.940 ⇒ 01:15:08.660 Robert Tseng: Okay.

646 01:15:08.840 ⇒ 01:15:17.470 Robert Tseng: And then, I know you showed me some of the analysis, ideas. Some of those things, I mean, are you deferring all of them to 2026, or like…

647 01:15:17.470 ⇒ 01:15:18.279 Henry Zhao: No, no, no.

648 01:15:18.510 ⇒ 01:15:19.060 Robert Tseng: Okay.

649 01:15:19.380 ⇒ 01:15:29.970 Henry Zhao: Next step is to, like, do planning, like, what are we gonna get started now, what are we gonna put to 2026? But right now, we at least gotta do all the prep work to make sure we have the understanding from the stakeholders, and have a plan for all of them. That was…

650 01:15:31.500 ⇒ 01:15:42.469 Robert Tseng: Okay, because our next check-in with ELT is going to be next week, and I want to be able to present to them what we’re going to be working on, what we’re going to get done, like, this year, and then kind of… yeah, we haven’t met with them in a couple weeks, so…

651 01:15:43.630 ⇒ 01:15:54.330 Henry Zhao: Okay, and then Zaran, we should probably also present at that meeting something on attribution, since we have, like, attribution data ready now, like, we can have some analysis there for ELT.

652 01:15:54.810 ⇒ 01:16:01.889 Robert Tseng: Yeah, okay, so I’m gonna say, by end of week, I wanna know, like, what am I gonna be presenting to them? Like that, I don’t want to be doing a scramble early next week.

653 01:16:01.890 ⇒ 01:16:02.570 Henry Zhao: Okay.

654 01:16:02.820 ⇒ 01:16:06.340 Robert Tseng: Yeah, the idea’s already there, I don’t really think that we need to…

655 01:16:06.970 ⇒ 01:16:11.029 Robert Tseng: Take that long and kind of… Putting it on a roadmap.

656 01:16:12.980 ⇒ 01:16:13.810 Robert Tseng: Alright.

657 01:16:13.810 ⇒ 01:16:24.969 Henry Zhao: And then for the pharmacy piece, Pete was able to give me, like, a zipped file with some data that potentially is what Rebecca is asking for. So I put into cursor, I’m just trying to figure out how to, query that zipped data.

658 01:16:26.580 ⇒ 01:16:28.099 Robert Tseng: Oh, so they did give you data.

659 01:16:28.830 ⇒ 01:16:32.890 Henry Zhao: I don’t know, I’m not able to query it yet. It’s, like, a lot of raw, like…

660 01:16:32.890 ⇒ 01:16:38.089 Uttam Kumaran: You should get it loaded into BigQuery, you shouldn’t… you don’t need to query anything in cursor.

661 01:16:38.500 ⇒ 01:16:39.830 Uttam Kumaran: So, ping…

662 01:16:39.830 ⇒ 01:16:42.229 Henry Zhao: We need to figure out how to upload it to BigQuery, yeah.

663 01:16:42.230 ⇒ 01:16:46.219 Uttam Kumaran: You don’t need to do that. You should offload that to the data engineers.

664 01:16:46.510 ⇒ 01:16:48.109 Henry Zhao: Okay, I’ll do that right away.

665 01:16:48.110 ⇒ 01:16:50.729 Uttam Kumaran: So ping… just ping in the channel, and ping…

666 01:16:50.980 ⇒ 01:16:53.810 Uttam Kumaran: And say, like, I need this loaded into BigQuery, yeah.

667 01:16:54.140 ⇒ 01:16:54.810 Henry Zhao: Okay.

668 01:16:55.490 ⇒ 01:16:58.380 Henry Zhao: Who would be good for that? Like, Demolade, or Mustafa, or…

669 01:16:58.380 ⇒ 01:16:59.620 Awaish Kumar: Do that.

670 01:16:59.900 ⇒ 01:17:00.520 Henry Zhao: Okay.

671 01:17:00.520 ⇒ 01:17:01.340 Awaish Kumar: 15.

672 01:17:02.260 ⇒ 01:17:07.689 Awaish Kumar: And for the other ticket, like, I would just wanted to ask, I assume it’s duplicated.

673 01:17:07.810 ⇒ 01:17:10.999 Awaish Kumar: work, like, I already worked on the model.

674 01:17:11.180 ⇒ 01:17:15.030 Awaish Kumar: for which, like, Zoran already asked about a model for…

675 01:17:15.170 ⇒ 01:17:18.440 Awaish Kumar: reverse ETLing data to MetaCAPI.

676 01:17:18.930 ⇒ 01:17:25.709 Awaish Kumar: Which includes the logic, same as get less. Isn’t it the same thing, like 1055?

677 01:17:29.120 ⇒ 01:17:32.519 Robert Tseng: 1055 is the same thing as 01 and Zoran’s.

678 01:17:32.520 ⇒ 01:17:35.119 Henry Zhao: change. Change to 105, that’s just TikTok, then.

679 01:17:37.060 ⇒ 01:17:40.019 Robert Tseng: I mean, isn’t this already canceled? Does someone already moved this?

680 01:17:40.020 ⇒ 01:17:49.240 Awaish Kumar: Yeah, but I just got a comment on Slack from Henry that we might need to work on it, but I think 1162 and this both are duplicated, so that’s why I’m…

681 01:17:49.720 ⇒ 01:17:52.150 Henry Zhao: Okay. Then change 1055 to just TikTok.

682 01:17:52.900 ⇒ 01:17:53.460 Awaish Kumar: Okay.

683 01:17:53.460 ⇒ 01:17:56.749 Henry Zhao: And yeah, my question was just if it’s possible to do it for TikTok.

684 01:17:57.770 ⇒ 01:18:00.040 Henry Zhao: That’s why I didn’t uncancel it yet.

685 01:18:01.490 ⇒ 01:18:02.410 Awaish Kumar: Okay.

686 01:18:03.180 ⇒ 01:18:03.960 Robert Tseng: Alright.

687 01:18:04.510 ⇒ 01:18:05.819 Robert Tseng: You guys are gonna…

688 01:18:06.010 ⇒ 01:18:07.309 Awaish Kumar: Handle that.

689 01:18:07.310 ⇒ 01:18:09.629 Henry Zhao: Yeah, Robert, we talked about this yesterday as well in our 101. Yeah.

690 01:18:09.990 ⇒ 01:18:10.879 Awaish Kumar: Yeah, we can do this.

691 01:18:10.880 ⇒ 01:18:14.470 Robert Tseng: I guess it just needs to be reflected in the tickets, because I don’t want the guys, the engineers…

692 01:18:14.470 ⇒ 01:18:16.809 Henry Zhao: And it’s… it’s not high pry either, so…

693 01:18:19.900 ⇒ 01:18:20.660 Robert Tseng: Okay.

694 01:18:21.110 ⇒ 01:18:22.200 Robert Tseng: Anything else?

695 01:18:23.070 ⇒ 01:18:24.459 Henry Zhao: Nothing else on my end.

696 01:18:24.820 ⇒ 01:18:25.670 Robert Tseng: Right.

697 01:18:25.930 ⇒ 01:18:28.060 Robert Tseng: What user on?

698 01:18:28.980 ⇒ 01:18:36.159 Zoran Selinger: Yeah, very simple today. So we… I had to create that synthetic data.

699 01:18:36.800 ⇒ 01:18:45.929 Zoran Selinger: So, so Ashwini can, can proceed with creating the model. There’s actually two models there. They want,

700 01:18:46.880 ⇒ 01:18:51.899 Zoran Selinger: They want the purchase event to be our first time, first touch.

701 01:18:52.410 ⇒ 01:19:02.650 Zoran Selinger: And the download event is going to be just first-time customers with Meta being any touchpoint.

702 01:19:03.740 ⇒ 01:19:15.670 Zoran Selinger: So they, they, they want that, so it’s two different tables. So Ashwini was briefed, and just waiting for that right now.

703 01:19:15.780 ⇒ 01:19:33.410 Zoran Selinger: I’m in the conversation with Stuart, we are defining those non-integrated channels that need to be there. Right now, it seems like maybe the only one that we could consider importing costs for is upfluence.

704 01:19:34.910 ⇒ 01:19:39.659 Zoran Selinger: But, we’ll, we’ll conf… I’ll confirm that by tomorrow.

705 01:19:43.800 ⇒ 01:19:47.410 Robert Tseng: Did you already kind of review? I guess this is after this call, I guess…

706 01:19:47.610 ⇒ 01:19:54.559 Robert Tseng: Zoran and Henry, you guys are gonna stay on to talk, or I’m just not gonna be on this meeting, but you’re meeting with Mitesh, right?

707 01:19:55.420 ⇒ 01:19:57.430 Henry Zhao: Yeah. Okay.

708 01:19:59.380 ⇒ 01:20:06.270 Zoran Selinger: So that’s everything… everything for me. We will… we’ll have… I guess we’ll have some more updates after that meeting.

709 01:20:06.920 ⇒ 01:20:07.590 Robert Tseng: Okay.

710 01:20:13.030 ⇒ 01:20:16.269 Robert Tseng: Alright, anything else, on this?

711 01:20:26.270 ⇒ 01:20:33.590 Robert Tseng: Okay, we have, like, combining health info to edge layer, like, we have some things that we want, I guess, where are we at with these things?

712 01:20:38.630 ⇒ 01:20:46.210 Casie Aviles: For the edge slave, this one I haven’t really looked into yet. I’m working on the Catalyst Reconciliation right now.

713 01:20:46.740 ⇒ 01:20:48.449 Casie Aviles: Okay, so… Yeah, that’s more good.

714 01:20:48.900 ⇒ 01:20:49.850 Casie Aviles: Okay.

715 01:20:57.480 ⇒ 01:21:12.469 Robert Tseng: Yeah, I guess, like, my… my thought on this is, like, now that you guys are more or less, like, meeting with these stakeholders on your own, I mean, I feel like I come here just to kind of check on, like, progress on tickets. You guys are creating your own tickets as well, especially Henry and Zaron.

716 01:21:12.940 ⇒ 01:21:15.210 Robert Tseng: And then you’re meeting with engineers, so…

717 01:21:15.250 ⇒ 01:21:23.940 Robert Tseng: Like, I don’t… like, I… I want this to be more helpful for the team, like, I… I don’t really want to, like, go through and click through every… every ticket.

718 01:21:23.940 ⇒ 01:21:40.429 Robert Tseng: I think what I care about is just… we do our weekly updates, making sure that I know what to discuss with ELT, and then if there are any escalations on people not getting you things, or you need help on, like, defining requirements, like, that’s kind of where I should be tapped in at this point, so…

719 01:21:41.020 ⇒ 01:21:48.589 Robert Tseng: Other than that, I’m kind of just assuming that things are moving forward, because, you know, you guys are… we are pretty integrated with this client.

720 01:21:49.540 ⇒ 01:21:57.609 Robert Tseng: Any thoughts on, like, how… I’m like, is that… is that a good assessment? Kind of… I mean, I don’t… I haven’t heard anything in a while, so that kind of makes me…

721 01:21:58.060 ⇒ 01:22:03.490 Robert Tseng: Makes me anxious, but it’s also maybe a good, good thing that the clients are not, like, kind of pigging me directly.

722 01:22:16.610 ⇒ 01:22:18.850 Henry Zhao: Yeah, I think it’s a fair assessment, I think things are going well.

723 01:22:21.700 ⇒ 01:22:37.600 Uttam Kumaran: That’s not giving me any confidence at all. Am I, like, the only person here that, number one, heard, like, a minute of silence, and then hearing, no, everything is good? What, like, can you explain why? Like, have you, who have you talked to? What were the conversations? Why you think things are going well?

724 01:22:38.160 ⇒ 01:22:54.260 Henry Zhao: Well, first of all, there’s, like, less demands right now, I think because we, like, finished all the fires, right? It was, like, the attribution stuff, the catalyst stuff, like, Northbeam is progressing, so I think there’s not a lot, like, of urgent, urgent stuff, so that’s allowing us to work on the analysis stuff.

725 01:22:54.450 ⇒ 01:23:01.399 Henry Zhao: And then pharmacy, like, everything that was blocked is now unblocked, right? So BASC is working on the data that they need to give us.

726 01:23:01.830 ⇒ 01:23:06.719 Henry Zhao: Pete is giving me, like, an alternative solution to, like, query the data while we wait on…

727 01:23:06.860 ⇒ 01:23:17.000 Henry Zhao: Pharmedica, but we also have a meeting with Pharmetica on Friday to go over, like, how to get the data that Rebecca needs. So, like, everything is on track, basically.

728 01:23:18.140 ⇒ 01:23:18.740 Uttam Kumaran: Okay.

729 01:23:18.910 ⇒ 01:23:21.350 Uttam Kumaran: That’s giving me more confidence, that answer.

730 01:23:21.350 ⇒ 01:23:21.990 Henry Zhao: Yeah, yeah.

731 01:23:21.990 ⇒ 01:23:29.690 Uttam Kumaran: I… what I don’t… I don’t… every time someone in this business has said, no, it’s going well, don’t worry about it, never went well. Yeah.

732 01:23:29.690 ⇒ 01:23:30.260 Henry Zhao: Okay.

733 01:23:30.260 ⇒ 01:23:33.289 Uttam Kumaran: you can tell why it makes me anxious. I think.

734 01:23:33.290 ⇒ 01:23:33.920 Henry Zhao: No, my only point…

735 01:23:33.920 ⇒ 01:23:35.999 Uttam Kumaran: here is if there’s anything that…

736 01:23:36.220 ⇒ 01:23:37.280 Henry Zhao: sounds…

737 01:23:37.280 ⇒ 01:23:49.590 Uttam Kumaran: technical, you need to reach out to data engineering. So this WAMBI thing has been blocked, I know, since last week, and Awashi’s gonna clear it in probably, like, 90 seconds. The zip file thing?

738 01:23:49.750 ⇒ 01:24:06.830 Uttam Kumaran: Ashwini could clear for you, like, also in, like, 90 seconds. So both of those things are good candidates for just, like, raise your hand. The other thing I’m nervous about is, like… Yeah, the other thing I’m nervous about Robert, is, like, for Sezim. Like, I don’t know how you feel things are going there. I haven’t spoken to her this week, but…

739 01:24:06.960 ⇒ 01:24:11.310 Uttam Kumaran: That’s… Being an outsider here, that’s probably my only…

740 01:24:12.120 ⇒ 01:24:16.380 Uttam Kumaran: thing that I’m like, okay, she onboarded, and just she feel like she has knowledge on everything.

741 01:24:18.430 ⇒ 01:24:25.299 Robert Tseng: Well, that’s why, I mean, Henry… I mean, I’ve already signed the… I’ve already signed the project, Henry’s kind of caught her up to speed, and I mean…

742 01:24:25.300 ⇒ 01:24:25.670 Uttam Kumaran: Okay.

743 01:24:25.670 ⇒ 01:24:29.720 Robert Tseng: just… we’ll see, like, I don’t… I don’t know either, I haven’t seen any…

744 01:24:29.720 ⇒ 01:24:31.690 Uttam Kumaran: Does she have a deliverable by Friday?

745 01:24:32.040 ⇒ 01:24:43.809 Robert Tseng: She doesn’t have one on this… on this client, she has it on Insomnia. Like, this one was really just kind of get up to speed on where the current efforts are, and then meet with Jonah and, like, kind of give him the plan on, like, what things are… how we’re going to take it from there.

746 01:24:43.810 ⇒ 01:24:50.670 Henry Zhao: Yeah, the deliverable I asked her for on the finance stuff is, like, I already have a spreadsheet that has, like, our plan of what we want for the financing model.

747 01:24:50.780 ⇒ 01:24:57.149 Henry Zhao: I just asked her to look it over, and then provide notes by, like, midweek, so that we can go over it and prepare for our meeting with Joan on Monday.

748 01:24:57.460 ⇒ 01:24:59.809 Uttam Kumaran: It’s midweek today. Oh, midweek next week.

749 01:25:00.020 ⇒ 01:25:04.990 Henry Zhao: No, midweek, like, today or tomorrow, so we can schedule a meeting, and just be prepared for next Monday.

750 01:25:07.330 ⇒ 01:25:13.109 Uttam Kumaran: Okay, I just… I’ve… it’s 3 days since Monday, and I haven’t seen a single message in Slack from her.

751 01:25:13.240 ⇒ 01:25:14.330 Uttam Kumaran: So…

752 01:25:14.740 ⇒ 01:25:25.650 Uttam Kumaran: that’s just my… my perspective. So again, I’m… I’m sort of, like, in… after… after doing this for 3 years, and…

753 01:25:25.860 ⇒ 01:25:37.640 Uttam Kumaran: Anytime new people don’t send Slack messages, there’s a 100% chance of failure. So, that’s my… that’s what I’m kind of raising.

754 01:25:39.180 ⇒ 01:25:39.980 Henry Zhao: Yeah.

755 01:25:40.430 ⇒ 01:25:44.129 Henry Zhao: And I think we’ve all… we’ve kind of all learned that over the past few… few months, so…

756 01:25:44.130 ⇒ 01:25:49.929 Uttam Kumaran: But, like, what do you, like, are you gonna… are you gonna own that, Henry?

757 01:25:49.930 ⇒ 01:25:51.099 Henry Zhao: I’ll be with her later today, yeah.

758 01:25:51.370 ⇒ 01:25:52.000 Uttam Kumaran: Yeah.

759 01:25:52.550 ⇒ 01:25:53.400 Uttam Kumaran: So…

760 01:25:56.870 ⇒ 01:26:11.870 Robert Tseng: Okay, I mean, I think… and we can move on from this, but, you know, I’m just looking at the… I mean, as the needs are shifting, Utam, like, I feel like this team has, like… like, we have, like, too many engineers on this client. There’s just not that much engineering work. It’s, like, one ticket going to Ashwini.

761 01:26:11.870 ⇒ 01:26:23.260 Robert Tseng: like, I haven’t gotten an update from Dan Milani this week, because nothing he’s working on is urgent. Like, I don’t know, it’s just kind of like, we’re spreading, like, just, like, a few tickets across, like, 4 people, so I don’t know, I feel like something…

762 01:26:23.390 ⇒ 01:26:33.200 Robert Tseng: I mean, I mean, the analysis needs to… needs to get going, which is… we’ve been in planning the past couple weeks, sure, like, with Thanksgiving and whatever, but…

763 01:26:33.450 ⇒ 01:26:39.449 Robert Tseng: I think, I think we might have to… we have to, like, change, change, change things up, because,

764 01:26:39.450 ⇒ 01:26:47.959 Uttam Kumaran: Yeah, I mean, at this point, I think, like, Ashwini really can take on any net new stuff. Okay. But also, again, like.

765 01:26:48.440 ⇒ 01:27:07.560 Uttam Kumaran: the deck being done by Friday, it’s Wednesday, and there’s nothing on analysis. We’ve already presented the Gantt charts and, like, a plan, and so… yeah, I’m also in the same boat where I’m like, what are we gonna present on? So that’s, like, for Henry and Zora, and for you guys to give us the confidence in, like, what we’re gonna present on these… on these work streams.

766 01:27:07.640 ⇒ 01:27:13.769 Uttam Kumaran: For Zoran’s piece, I feel like it’s… it’s still moving. I think for Henry, for your piece, it’s up to you to…

767 01:27:13.780 ⇒ 01:27:27.860 Uttam Kumaran: to continue to… I think… I know you’re pushing on the Pharmedica stuff, so that’s fine. I think the SESM piece, I kind of would like you to own as much as possible. So you set the requirements, set the deadlines, and drive, and then you raise the flag when it’s, like.

768 01:27:27.890 ⇒ 01:27:31.320 Uttam Kumaran: you should… you should be seeing, hey, it’s Wednesday, and, like.

769 01:27:31.600 ⇒ 01:27:37.340 Uttam Kumaran: we have a new person who we’ve given new analysis to and haven’t said anything in Slack. It’s sort of like…

770 01:27:37.460 ⇒ 01:27:40.320 Uttam Kumaran: the… Perfect storm.

771 01:27:40.470 ⇒ 01:27:47.550 Uttam Kumaran: You know? Yeah, yeah. And we’ve been sailing for a while, we can just dodge this one, right? So… yeah.

772 01:27:50.470 ⇒ 01:27:55.459 Henry Zhao: Yeah, but for this Friday, I think, in terms of analysis, we should just present what we have on attribution.

773 01:27:56.270 ⇒ 01:27:58.879 Henry Zhao: Cause I don’t think anything else will be ready by Friday.

774 01:28:02.560 ⇒ 01:28:03.620 Uttam Kumaran: But why not?

775 01:28:04.310 ⇒ 01:28:05.220 Demilade Agboola: Oh, loosely.

776 01:28:05.220 ⇒ 01:28:06.319 Uttam Kumaran: Three days from now.

777 01:28:06.860 ⇒ 01:28:11.679 Demilade Agboola: I could get the offline stuff in there as well, by the way.

778 01:28:11.680 ⇒ 01:28:15.820 Uttam Kumaran: Even on the analysis piece, like, what could possibly not, like.

779 01:28:16.620 ⇒ 01:28:25.670 Uttam Kumaran: let’s… we have… we have month… we have 5 days to get, like, some small analysis done, or at least, like, one or two slides. What…

780 01:28:26.240 ⇒ 01:28:28.330 Henry Zhao: Why not? What would you consider?

781 01:28:28.720 ⇒ 01:28:29.270 Henry Zhao: Like…

782 01:28:29.730 ⇒ 01:28:33.169 Uttam Kumaran: The presentation’s on Wednesday, so you technically have a week and a half.

783 01:28:33.330 ⇒ 01:28:37.420 Uttam Kumaran: I guess, like, are we gonna go to Wednesday and say, great, we…

784 01:28:38.440 ⇒ 01:28:40.299 Uttam Kumaran: This is what we’re going to do.

785 01:28:40.900 ⇒ 01:28:44.739 Uttam Kumaran: And this is also what we presented on 2 weeks ago, right?

786 01:28:45.220 ⇒ 01:28:50.719 Uttam Kumaran: I guess, like, is there any analysis in the sheet that you shared that can be done by next week?

787 01:28:51.520 ⇒ 01:28:52.910 Henry Zhao: I’ll take a look, yeah.

788 01:28:55.130 ⇒ 01:29:00.720 Uttam Kumaran: No, I’m asking, like, right now, like, is there… is there anything on that list that can be done by next Wednesday? That’s one week from now.

789 01:29:03.780 ⇒ 01:29:10.499 Uttam Kumaran: And then why not just set a deadline to say, like, okay, conduct this analysis by Friday, right? I don’t know.

790 01:29:12.270 ⇒ 01:29:14.289 Henry Zhao: Okay, I’ll find something and present it by Friday.

791 01:29:14.640 ⇒ 01:29:16.210 Henry Zhao: Or by tomorrow, actually.

792 01:29:16.510 ⇒ 01:29:33.979 Uttam Kumaran: No, no, no, but I think we’re just, like, I’m not… I’m just hearing yes, yes, yes, yes, yes, like, it’s not going to happen. It’s not gonna get done. So, what I’m trying to understand is, like, we’re gonna go into next Wednesday, and we’re gonna say we’re gonna conduct all these analyses, but we’ve already… we already have… we have another week.

793 01:29:34.130 ⇒ 01:29:41.519 Uttam Kumaran: So, like, what analyses can we expect to get done, and are you handling it? Is SESM handling it? Like, we need some, like.

794 01:29:42.080 ⇒ 01:29:46.749 Uttam Kumaran: understanding of, like, who’s doing what, and, like, what’s gonna be done by Wednesday, but…

795 01:29:47.960 ⇒ 01:29:49.740 Uttam Kumaran: Two days is a long time.

796 01:29:50.010 ⇒ 01:29:55.789 Uttam Kumaran: Like, in our world, you know? So… I feel like what… How much… like, yeah, like…

797 01:29:55.900 ⇒ 01:29:58.130 Uttam Kumaran: There’s only 5 tables to look at.

798 01:29:59.310 ⇒ 01:30:00.240 Uttam Kumaran: Really?

799 01:30:00.950 ⇒ 01:30:11.469 Uttam Kumaran: And throw… throw together some type of thing, you know? I don’t know. Like, it’s not… we’re not dealing with, like, too much complicated analysis, right? Like, what… what could possibly take more than a week and a half?

800 01:30:14.200 ⇒ 01:30:17.450 Henry Zhao: Yeah, like, the pharmacy stuff and the finance stuff will not be ready, so…

801 01:30:17.600 ⇒ 01:30:21.660 Henry Zhao: Cause we… cause the, like, pharmacy data we don’t have, like, fully yet, so…

802 01:30:22.690 ⇒ 01:30:24.190 Uttam Kumaran: But then, what about finance?

803 01:30:25.200 ⇒ 01:30:39.420 Henry Zhao: like, finance, we’re creating, like, a financial model, like, that’s not good… that’s gonna take a while. Like, like I said, we have to do the, like, breakdown by drug, we have to… there’s a lot of things that we need to think about, COGS, we have to understand COGS, contra revenue, like, all that stuff.

804 01:30:42.160 ⇒ 01:30:49.639 Uttam Kumaran: I’m still not convinced. I don’t know. None of those things, like, we already have that. Awash will come off mute and tell you we already have all that stuff in a table.

805 01:30:49.800 ⇒ 01:30:55.739 Uttam Kumaran: Right, like, for a lot of the financial analysis. I know, because I worked on that stuff, like, last year.

806 01:30:55.980 ⇒ 01:30:58.030 Uttam Kumaran: So… I don’t know.

807 01:30:58.540 ⇒ 01:31:02.619 Uttam Kumaran: I’m just surprised that we can’t put together an analysis for Eden by next week.

808 01:31:03.240 ⇒ 01:31:04.410 Uttam Kumaran: And ship something.

809 01:31:05.440 ⇒ 01:31:10.460 Henry Zhao: We can, but I think what’s more important for now is to do the attribution analysis, because I think that’s more urgent and more important for now.

810 01:31:10.740 ⇒ 01:31:13.129 Uttam Kumaran: It says I’m on… it says I’m doing that? Who’s doing that?

811 01:31:14.430 ⇒ 01:31:16.880 Henry Zhao: Robert said that Zoran should do it, but I don’t mind doing it.

812 01:31:17.030 ⇒ 01:31:19.070 Uttam Kumaran: So there’s 3 other people on this client.

813 01:31:19.470 ⇒ 01:31:29.069 Uttam Kumaran: So what is everyone else doing? Like, what are you and Seism gonna present, then? That’s Zoran. I’m comfortable with what Zoron’s stuff is, like, I feel good about that.

814 01:31:32.550 ⇒ 01:31:36.260 Uttam Kumaran: We can take it offline, but what I… I’m just, like, hearing that there’s a week.

815 01:31:36.460 ⇒ 01:31:46.800 Uttam Kumaran: And I’m still not hearing, like, anything about why we can’t put together some analyses on some of the questions. I’ve reviewed some of the stuff we presented last week, I’ll take a look again, but…

816 01:31:47.000 ⇒ 01:31:52.419 Uttam Kumaran: I don’t know. And I’m not seeing any questions in Slack from anybody on these analyses.

817 01:31:52.680 ⇒ 01:31:53.570 Uttam Kumaran: You know?

818 01:31:57.240 ⇒ 01:31:59.549 Uttam Kumaran: So, okay, let’s… we can talk in Slack.

819 01:32:01.410 ⇒ 01:32:09.150 Henry Zhao: Yeah, I think what I would like to just help figure… have some help figuring out is, like, what would be a useful analysis to present now versus, like, in 2026, you know what I mean?

820 01:32:09.800 ⇒ 01:32:19.329 Henry Zhao: We have the matrix, right? Like, there’s difficulty and priority. Like, what is the low-hanging fruit, or what is the stuff that’s high priority that we should do right now by Friday?

821 01:32:20.210 ⇒ 01:32:22.599 Robert Tseng: I mean, Henry, you should figure that out.

822 01:32:22.600 ⇒ 01:32:23.479 Uttam Kumaran: Yeah, you should come down.

823 01:32:23.480 ⇒ 01:32:40.409 Robert Tseng: Five times more than every other client, and we’re… and we’re pushing weekly analysis on every other client. So, I… I just… I don’t know what the disconnect is. Like, I’ve seen your ideas. It’s the same stuff that we pitched at them, like, before the week before Thanksgiving. So, I just… yeah, I mean, like…

824 01:32:40.580 ⇒ 01:32:44.780 Robert Tseng: I’m… I’m not gonna… I’m not gonna press on this this week, but, like.

825 01:32:46.190 ⇒ 01:32:49.270 Robert Tseng: Yeah, I mean, I think starting next week, I’ll probably start to…

826 01:32:49.420 ⇒ 01:32:52.850 Robert Tseng: I’ll probably start to be looking at this a lot more closely.

827 01:32:53.490 ⇒ 01:33:03.769 Henry Zhao: Okay, so what I’m gonna do for now is I’m gonna get one of the engineers to help me with the zip data that Pete gave me. I think pharmacy is probably the highest priority, and I’m gonna see what analysis we can do from the zipped files.

828 01:33:03.770 ⇒ 01:33:08.049 Uttam Kumaran: We’ll just move this whole conversation to Slack, and I’ll answer all your questions there, but, like.

829 01:33:08.050 ⇒ 01:33:08.420 Henry Zhao: Okay.

830 01:33:08.420 ⇒ 01:33:13.299 Uttam Kumaran: This is coming up now for the first time after me digging it out of the ground. That’s not right.

831 01:33:13.410 ⇒ 01:33:22.580 Uttam Kumaran: Right? So, like, if you’re… if you don’t have clarity over the priority, ask. Why aren’t we… why isn’t there a question? And if you don’t have clarity, how is Seven gonna have clarity?

832 01:33:22.940 ⇒ 01:33:24.030 Uttam Kumaran: No way.

833 01:33:24.200 ⇒ 01:33:28.700 Uttam Kumaran: Right? And so, like, ask. Ask in Slack. I need to see this in Slack.

834 01:33:28.820 ⇒ 01:33:32.930 Uttam Kumaran: You know, what I’m hearing is there is confusion, And…

835 01:33:33.110 ⇒ 01:33:36.050 Uttam Kumaran: But the start of the meeting was, like, everything’s figured out.

836 01:33:36.540 ⇒ 01:33:38.040 Uttam Kumaran: So, it’s…

837 01:33:38.280 ⇒ 01:33:49.940 Uttam Kumaran: You know, it’s not fair. It’s not fair to us. Like, we can’t have this… we’re going to get to Friday, and we’re gonna be like, we don’t have anything to present, and then I’m gonna have to work the weekend. And I don’t wanna work the weekend.

838 01:33:50.100 ⇒ 01:34:01.310 Uttam Kumaran: I worked last weekend. I worked the weekend before, so let’s try to have a conversation in Slack today, let’s get through all this confusion. So if you could start a thread, let’s get through it today.

839 01:34:01.750 ⇒ 01:34:07.880 Henry Zhao: Yeah, I would say I have clarity on the priorities, I just need to figure out what can we do by Friday that is one of the high priority items. That’s basically it.

840 01:34:07.880 ⇒ 01:34:10.270 Uttam Kumaran: Let’s talk about it in Slack. Yeah.

841 01:34:11.680 ⇒ 01:34:21.700 Robert Tseng: Alright, let’s move on to, insomnia. So, Zaron, I guess I had you review, kind of, this… this proposal that I put together.

842 01:34:21.890 ⇒ 01:34:24.780 Robert Tseng: Do you think you can get that done today, so I can shoot it over?

843 01:34:27.250 ⇒ 01:34:39.629 Zoran Selinger: Sorry, what did you want me to add to it? I did review it, I added a comment to the document, looks really good. I mean, it’s everything we talked about in the call, on the.

844 01:34:39.630 ⇒ 01:34:40.010 Robert Tseng: Okay.

845 01:34:40.010 ⇒ 01:34:41.700 Zoran Selinger: It’s fine, yeah.

846 01:34:41.700 ⇒ 01:34:43.740 Robert Tseng: That’s it. If you don’t have anything to add, like, I just… I just wanted.

847 01:34:43.740 ⇒ 01:34:54.229 Zoran Selinger: Yeah, so I had a comment, we just, we mentioned that the server-to-server thing is still gonna be on their dev team.

848 01:34:54.540 ⇒ 01:35:03.259 Zoran Selinger: And yeah, so all those requests, are gonna be on their dev team. At least for now, they don’t see…

849 01:35:03.440 ⇒ 01:35:15.470 Zoran Selinger: a reason to… to transfer over to the, let’s call it the marketing team. So that’s the only thing that I see there that’s, that’s a super small thing that’s missing, and that’s it.

850 01:35:16.180 ⇒ 01:35:17.810 Robert Tseng: Okay, alright.

851 01:35:17.810 ⇒ 01:35:28.200 Zoran Selinger: Yeah, we have to, we have to see about the pricing, and that’s it. And that might be on you 100%.

852 01:35:28.200 ⇒ 01:35:31.020 Robert Tseng: Yeah, yeah, yeah, I’ll send it out to David.

853 01:35:31.450 ⇒ 01:35:32.919 Zoran Selinger: Okay, cool, cool.

854 01:35:33.690 ⇒ 01:35:38.010 Robert Tseng: Yeah, I mean, other than that, I don’t think we really have anything to talk about with this client, so…

855 01:35:38.200 ⇒ 01:35:39.860 Robert Tseng: We’ll, we’ll skip.

856 01:35:40.270 ⇒ 01:35:48.520 Robert Tseng: We’ll move to Honey Stinger. So, I know there were a couple things that are pretty much at the finish line at this point, so I just want to make sure that we’re ready to send.

857 01:35:48.830 ⇒ 01:35:54.040 Robert Tseng: Yeah, Amber, I think I kind of… yeah, where are we at with these things?

858 01:35:56.120 ⇒ 01:36:05.250 Amber Lin: They are ready to send, I just… Byron just doesn’t know me. I can totally send them if you’re okay with that message.

859 01:36:07.030 ⇒ 01:36:07.450 Amber Lin: you should.

860 01:36:07.450 ⇒ 01:36:12.770 Robert Tseng: Are you… are you not in the channel? You’ve never been on… you’ve never been on a call with him? Okay. I didn’t realize that.

861 01:36:12.770 ⇒ 01:36:15.760 Uttam Kumaran: No, no, no, I think you were. Amber, you were on a call with him, right?

862 01:36:15.880 ⇒ 01:36:17.810 Uttam Kumaran: Last, like, last two weeks ago.

863 01:36:19.830 ⇒ 01:36:20.460 Amber Lin: Huh.

864 01:36:21.650 ⇒ 01:36:22.310 Amber Lin: Oh, I think.

865 01:36:22.310 ⇒ 01:36:25.179 Uttam Kumaran: I think you should ship it. You were… yeah, I think you should ship it.

866 01:36:25.180 ⇒ 01:36:27.339 Amber Lin: I’m happy to. That will, that will make it…

867 01:36:27.340 ⇒ 01:36:28.539 Uttam Kumaran: No, I think it’s worth… I think it’s worth.

868 01:36:28.540 ⇒ 01:36:31.099 Amber Lin: He went away, but I really wasn’t sure if he knew me at all.

869 01:36:31.100 ⇒ 01:36:38.079 Uttam Kumaran: No, no, it’s worth… it’s worth clarifying, but I… I think… I think you should just ship it, if… if Robert… if Robert gave the thumbs.

870 01:36:38.380 ⇒ 01:36:39.910 Amber Lin: Okay, awesome.

871 01:36:40.070 ⇒ 01:36:51.419 Amber Lin: I’ll do that. Yeah. And then today, my analysis, I’m just, wrapping up the cross-channel comparison. Some trends are different, but have to make sense of what that means.

872 01:36:51.430 ⇒ 01:37:01.059 Amber Lin: But that’s the thing that I have for now. Like, I don’t have market spend data, I don’t have other things, so that probably would just be for today.

873 01:37:01.060 ⇒ 01:37:11.450 Henry Zhao: Amber, I think we have a lot of that data in Acosta, so I’m gonna need an engineer else to help me get that data to Mother Duck, but there’s a lot of data there, so Amber, we can go over that, yeah.

874 01:37:11.620 ⇒ 01:37:12.030 Amber Lin: Cool.

875 01:37:13.130 ⇒ 01:37:19.079 Henry Zhao: In terms of access, Uten or Robert, only I have access. How do I give access to the engineers? Do I need to go through Acosta, or just…

876 01:37:20.820 ⇒ 01:37:22.099 Uttam Kumaran: to the Excel sheets?

877 01:37:22.540 ⇒ 01:37:23.100 Henry Zhao: Yeah.

878 01:37:23.770 ⇒ 01:37:25.000 Uttam Kumaran: Can you download them?

879 01:37:25.590 ⇒ 01:37:27.719 Henry Zhao: I can just download and give them to the engineers, right?

880 01:37:28.410 ⇒ 01:37:32.250 Uttam Kumaran: Yeah, I would download as a CSV, though. Don’t download as Excel, if possible.

881 01:37:32.710 ⇒ 01:37:34.560 Uttam Kumaran: Unless it’s, like, some weird format.

882 01:37:34.760 ⇒ 01:37:36.770 Uttam Kumaran: Yeah.

883 01:37:37.130 ⇒ 01:37:38.890 Henry Zhao: It’s a weird format, it’s like a lot of tabs.

884 01:37:39.500 ⇒ 01:37:43.919 Henry Zhao: So… So you can’t even… Oh, it was a weird format.

885 01:37:46.750 ⇒ 01:37:49.999 Uttam Kumaran: Yeah, you’re, let’s talk also about that in Slack.

886 01:37:54.160 ⇒ 01:37:58.639 Awaish Kumar: Yeah, a lot of tabs means we need to put, like, get all those tabs.

887 01:37:59.530 ⇒ 01:38:02.849 Awaish Kumar: Data, like, imported into a warehouse?

888 01:38:05.210 ⇒ 01:38:06.289 Awaish Kumar: Yeah, then probably…

889 01:38:06.290 ⇒ 01:38:11.430 Henry Zhao: Is there an AI tool that can, like, go into these Excel docs and, like, format them nicely and then download a.

890 01:38:11.430 ⇒ 01:38:13.699 Uttam Kumaran: Let’s do it in Slack, let’s do it in Slack, let’s do it in Slack.

891 01:38:15.800 ⇒ 01:38:17.280 Henry Zhao: I’ll make a loom, actually, about it.

892 01:38:18.830 ⇒ 01:38:19.530 Robert Tseng: Okay.

893 01:38:20.600 ⇒ 01:38:28.350 Robert Tseng: I think I had already talked to Mustafa about, kind of, the modeling that he’s gonna get done by the end of the week, so I don’t need to go over that again today.

894 01:38:29.170 ⇒ 01:38:38.039 Robert Tseng: Alright, let’s move to README. So, yeah, I think I want to spend a few minutes here with Mustafa. I did add a bunch of these tickets, so…

895 01:38:38.740 ⇒ 01:38:44.829 Robert Tseng: I mean, these are pretty much just, like, iterations off of… I’ll just kind of pick… pick one that we discussed.

896 01:38:45.550 ⇒ 01:38:49.069 Robert Tseng: This one, pretty good.

897 01:38:50.440 ⇒ 01:39:01.829 Robert Tseng: Yeah, so, like, I’m looking at your linting, kind of, like, report. I mean, this is generally, I think, the right approach for, kind of, like, evaluating feature engagement, before and after event, so…

898 01:39:01.830 ⇒ 01:39:16.280 Robert Tseng: We just got the backfill, like, there is an existing report on this one already, but, like, if we could kind of just build out a similar dash for each of these different experiments, I think that would probably be… that’s pretty much the ask. The metrics that you’re looking at are a bit different, so…

899 01:39:16.280 ⇒ 01:39:19.420 Robert Tseng: We want to look at sign-ups that get conversions, and then…

900 01:39:19.810 ⇒ 01:39:25.779 Robert Tseng: We… I mean, if you have questions about, like, what some of these… so every experiment needs to have, like, one

901 01:39:25.780 ⇒ 01:39:42.789 Robert Tseng: like, standard metric that’s, like, you’re measuring across all experiments, and then you need one, something, at least one that’s, like, specific to this experiment. So, like, you know, for this one, did this feature actually lead to more, like, onboarding completes, right? So, that’s kind of how I’ve,

902 01:39:42.900 ⇒ 01:39:44.960 Robert Tseng: Structured some of these.

903 01:39:45.460 ⇒ 01:39:49.529 Robert Tseng: And then there’s, like, if you get confused on the pricing one,

904 01:39:50.050 ⇒ 01:40:06.499 Robert Tseng: they made one pricing change, but it’s actually two. I don’t think you’ll be able to pick that up from the transcript, so I tried to illustrate it here. When the pricing page was updated in September, it was only updated to the logged-out version, which is just this particular screen.

905 01:40:06.880 ⇒ 01:40:21.860 Robert Tseng: And so there’s kind of a need to measure that. And then they… they noticed it two months later, that, like, hey, it didn’t actually update internally. I couldn’t show you their… their product was, like, down or something for me today, so I… I mean, I was just showing you how to navigate to it internally.

906 01:40:21.860 ⇒ 01:40:37.149 Robert Tseng: Or, like, in the product, but this is after you log in, and then you’re basically trying to upgrade, or you’re moving through it through, through, like, a launch button. So, like, that… that whole sequence of where the pricing shows up, once you’re already logged in, that’s, like, the second change there.

907 01:40:37.240 ⇒ 01:40:41.589 Robert Tseng: So really, to me, this is, like, two reports, like.

908 01:40:42.070 ⇒ 01:40:54.289 Robert Tseng: one on onboarding, one around pricing, and then they have this one that hasn’t gone live yet. Or, actually, it just went live, so, yeah, this is, like, every… everything around pricing can be on the same… on the same dash.

909 01:40:56.080 ⇒ 01:41:01.879 Mustafa Raja: Okay, so, so do we know, do we need to create new dashboards, or this, I should update this one only?

910 01:41:01.880 ⇒ 01:41:10.309 Robert Tseng: No, you should create new ones. This one, I think this is fine. This is, like, a set of features. Onboarding should be its own dash, and then pricing should be its own dash.

911 01:41:10.310 ⇒ 01:41:12.329 Mustafa Raja: Okay, yeah, that makes sense. Yeah. Okay.

912 01:41:12.330 ⇒ 01:41:12.690 Robert Tseng: Yeah.

913 01:41:12.690 ⇒ 01:41:13.270 Mustafa Raja: Thank you.

914 01:41:14.530 ⇒ 01:41:15.250 Robert Tseng: Okay.

915 01:41:15.970 ⇒ 01:41:25.160 Robert Tseng: Great. And then we’re meeting with Phoebe tomorrow, so I think that’s why I kind of put a couple that I’d like to get done by tomorrow, so at least we have something to show her.

916 01:41:25.800 ⇒ 01:41:26.520 Robert Tseng: Yeah.

917 01:41:27.930 ⇒ 01:41:28.840 Robert Tseng: Okay.

918 01:41:28.950 ⇒ 01:41:40.350 Robert Tseng: Cool. Yeah, that’s pretty much it for analysis. Right now.

919 01:41:42.050 ⇒ 01:41:44.660 Robert Tseng: Yeah, I guess with the remaining time, like.

920 01:41:44.780 ⇒ 01:41:56.410 Robert Tseng: I’d like to stay on and groom the Eden ones specifically, so I’d like to pull that up and really just, like, be crystal clear on, like, what we’re going to be pushing there.

921 01:41:56.430 ⇒ 01:42:06.090 Robert Tseng: Just because all the other clients, they have something going out this week, so I feel good about it. So, but for Eden, we don’t have anything going out this week, so I… I’m not… I’m not really…

922 01:42:06.710 ⇒ 01:42:09.560 Robert Tseng: I’m not at peace with, kind of, where we’re at there.

923 01:42:12.960 ⇒ 01:42:21.400 Robert Tseng: Okay, so if no other questions, then I want at least Henry to stay on, and then I guess everyone else can drop, but we’re gonna go and actually…

924 01:42:21.810 ⇒ 01:42:23.019 Robert Tseng: Figure that out now.

925 01:42:26.320 ⇒ 01:42:27.299 Uttam Kumaran: Hey, Sass.

926 01:42:28.350 ⇒ 01:42:29.810 Uttam Kumaran: I’ll make you host, Robert.

927 01:42:30.220 ⇒ 01:42:30.840 Robert Tseng: Okay.

928 01:42:39.650 ⇒ 01:42:44.610 Amber Lin: I also have capacity if there’s just something short you want to assign to me, because…

929 01:42:44.760 ⇒ 01:42:50.580 Amber Lin: I, like, after the honey single one is done, I don’t have any analysis on my plate yet.

930 01:42:51.950 ⇒ 01:42:54.370 Henry Zhao: When we have the Acosta data, Amber, there will be lots of.

931 01:42:54.370 ⇒ 01:42:54.800 Amber Lin: Oh.

932 01:42:54.800 ⇒ 01:42:55.280 Henry Zhao: reserve policy.

933 01:42:55.280 ⇒ 01:42:56.530 Amber Lin: Okay, valid.

934 01:42:56.730 ⇒ 01:42:58.580 Amber Lin: We’ll see when that comes in.

935 01:42:58.840 ⇒ 01:43:13.640 Robert Tseng: I mean, Amber, if you… I know I didn’t give you another, like, follow-up for Insomnia, because you’re kind of just, like, beholden to, like, their action, what they’re taking, but there were… I mean, I’ve already… I’d already outlined all the different things that we could do, like, I… if you want.

936 01:43:13.640 ⇒ 01:43:14.010 Amber Lin: to try.

937 01:43:14.010 ⇒ 01:43:24.820 Robert Tseng: try to build your own roadmap, like, I think you could try to submit a couple outlines and tell me, like, what you think the next one should be, if you want to try that exercise rather than the, kind of.

938 01:43:24.820 ⇒ 01:43:26.080 Amber Lin: Coming to you with… Cool, yeah.

939 01:43:26.080 ⇒ 01:43:26.720 Robert Tseng: outline.

940 01:43:26.720 ⇒ 01:43:27.770 Amber Lin: That sounds good.

941 01:43:28.160 ⇒ 01:43:28.810 Robert Tseng: Yeah.

942 01:43:29.140 ⇒ 01:43:36.930 Robert Tseng: Like, to me, it’s a low-stakes way of just kind of, like, you kind of trying to identify what’s important, and then you’re kind of bringing it to the table.

943 01:43:37.200 ⇒ 01:43:38.380 Amber Lin: Perfect. Yeah.

944 01:43:38.610 ⇒ 01:43:39.910 Amber Lin: Yeah, I can do that.

945 01:43:40.250 ⇒ 01:43:40.970 Robert Tseng: Okay.

946 01:43:40.970 ⇒ 01:43:43.099 Amber Lin: Alright, I’ll hop then. Bye, guys.

947 01:43:43.100 ⇒ 01:43:43.660 Robert Tseng: Sure.

948 01:43:43.970 ⇒ 01:43:44.660 Robert Tseng: Yep.

949 01:43:47.860 ⇒ 01:43:48.650 Robert Tseng: A.

950 01:43:49.080 ⇒ 01:43:50.140 Robert Tseng: So…

951 01:43:54.130 ⇒ 01:43:59.650 Robert Tseng: Eden Retro November 14th, this is the last one.

952 01:44:01.290 ⇒ 01:44:04.210 Robert Tseng: And… Why?

953 01:44:22.560 ⇒ 01:44:27.309 Robert Tseng: Okay, well, I mean, this is the last one that we left off on, so…

954 01:44:33.150 ⇒ 01:44:48.219 Robert Tseng: I mean, yeah, this is just us telling them what we were going to do, and so it’s been 2 weeks since then, and yeah, it’s like, you know, if I’m gonna update this, like, what am I gonna show them? So, I’m gonna literally just start the outline now,

955 01:44:49.210 ⇒ 01:44:53.680 Robert Tseng: So, I could do, nope.

956 01:44:58.620 ⇒ 01:45:00.149 Robert Tseng: What’s it called?

957 01:45:00.340 ⇒ 01:45:01.370 Robert Tseng: Why?

958 01:45:14.910 ⇒ 01:45:18.029 Robert Tseng: Where’s your spreadsheet that you set, that you showed me?

959 01:45:18.860 ⇒ 01:45:22.949 Henry Zhao: This one?

960 01:45:32.860 ⇒ 01:45:35.950 Robert Tseng: I can’t look at ZoomChat, you’re seeing my screen, so I kind of…

961 01:45:35.950 ⇒ 01:45:36.700 Henry Zhao: Oh.

962 01:45:38.220 ⇒ 01:45:38.810 Robert Tseng: Yeah.

963 01:45:39.550 ⇒ 01:45:40.150 Henry Zhao: Slack.

964 01:45:44.410 ⇒ 01:45:44.980 Robert Tseng: Okay.

965 01:46:12.910 ⇒ 01:46:23.590 Robert Tseng: 5 institutions be… I guess we were cut off then, so I’ll say… December 1st to…

966 01:46:30.320 ⇒ 01:46:33.170 Robert Tseng: It’s really… this.

967 01:46:33.850 ⇒ 01:46:43.240 Robert Tseng: Yeah, so, I mean, we don’t have to fill this in right now, but, like, you know, we’re gonna need to read out on some of this stuff by next week.

968 01:46:50.330 ⇒ 01:47:04.030 Robert Tseng: the MarTech roadmap is already there. FarmOps roadmap’s here. I mean, yeah, we have all of the… we have all of the objectives and the strategy stuff, like, written out here, so… I think this is, like, I just…

969 01:47:04.240 ⇒ 01:47:09.819 Robert Tseng: I just need to know, like, what are we actually going to be able to put on this by Wednesday? So…

970 01:47:13.580 ⇒ 01:47:20.049 Zoran Selinger: Oh, yeah, so meta activation is gonna be done by next Wednesday.

971 01:47:20.340 ⇒ 01:47:22.900 Zoran Selinger: So…

972 01:47:24.180 ⇒ 01:47:35.260 Zoran Selinger: our Northern implementation looks good. So, on the meeting following this one, I’m going to start… open the conversation about OKRs for Q1.

973 01:47:35.860 ⇒ 01:47:39.420 Zoran Selinger: So we’ll see what comes out of that meeting. I’m going to…

974 01:47:39.420 ⇒ 01:47:40.050 Robert Tseng: Yeah.

975 01:47:40.250 ⇒ 01:47:46.800 Zoran Selinger: write that up, and, you know, just kind of roughly include it into… onto the Gantt chart.

976 01:47:46.960 ⇒ 01:47:50.269 Zoran Selinger: And I can come back to the slides here as well.

977 01:47:51.870 ⇒ 01:48:02.219 Zoran Selinger: Yeah, so we kind of agreed to have a really good idea about what we’re doing in Q1 by… by mid… by mid-December, but I’m going to open that conversation today.

978 01:48:02.220 ⇒ 01:48:16.079 Zoran Selinger: Already, and gonna close that in, because we are… the latest list of 4KRs that we got from Cutter. We are basically, we’ve done 3 or 4 things on that list.

979 01:48:16.200 ⇒ 01:48:20.779 Zoran Selinger: Or… or we’re going to finish it in the next week or so, so…

980 01:48:21.150 ⇒ 01:48:28.509 Robert Tseng: I mean, I’m even looking at this, so this is, like, almost done. We haven’t finished this one yet, but the other two are done at this point.

981 01:48:28.510 ⇒ 01:48:35.880 Zoran Selinger: Yeah, so we’re doing pretty well there, but yeah, we need… we need new stuff. Our… our current…

982 01:48:36.000 ⇒ 01:48:40.260 Zoran Selinger: Our chart is, you know, by the end of the year. So, yeah, we bring new stuff.

983 01:48:40.260 ⇒ 01:48:50.399 Robert Tseng: So I think, yeah, you pulling up that chart, walking the touch through it, telling, kind of, like, referencing how we’ve already finished this, like, yeah, put the burden on them to give you new scope. I’m not worried about the marketing side.

984 01:48:50.400 ⇒ 01:48:52.049 Zoran Selinger: I think we’re doing fine there.

985 01:48:52.220 ⇒ 01:48:52.760 Robert Tseng: Yeah.

986 01:48:54.380 ⇒ 01:48:55.210 Robert Tseng: Okay.

987 01:48:59.800 ⇒ 01:49:13.510 Robert Tseng: Yeah, so, I mean, obviously, on the farm op side, we have a roadmap as well, we have these objectives, we’re not making any progress, or, like, we just… obviously, we don’t… we don’t… I don’t think we’ve achieved any of these things, so…

988 01:49:14.730 ⇒ 01:49:26.870 Robert Tseng: I mean, I don’t know, like, do… do we see, like, there’s, like, a big difference? We had a roadmap, we executed against it, the objectives are actually getting done. Here, we have… I mean, I understand that it’s different domains, things are not kind of in our hands, but, like…

989 01:49:27.130 ⇒ 01:49:37.279 Robert Tseng: this is why I’m not worried about Martech. Like, we have executed on everything, and we just need more scope. At this point, we have a lot of objectives that we’re not, like, really

990 01:49:37.750 ⇒ 01:49:40.629 Robert Tseng: For one reason or another, we’re not hitting any of them.

991 01:49:41.140 ⇒ 01:49:42.999 Robert Tseng: And we don’t really have, like.

992 01:49:43.550 ⇒ 01:49:50.000 Robert Tseng: progress updates for them, either. It’s just kind of… like, I don’t know what the story is, so…

993 01:49:51.480 ⇒ 01:49:52.299 Robert Tseng: like that.

994 01:49:54.300 ⇒ 01:49:59.480 Robert Tseng: Yeah, I need you… I need you to build… I need you to build that story, Henry.

995 01:50:00.740 ⇒ 01:50:08.310 Henry Zhao: Yeah, let me… let me get the data engineers today to load that zipped file for me into MotherDuck, and build an analysis on that, and I’ll update this slide.

996 01:50:08.310 ⇒ 01:50:16.130 Robert Tseng: Them not hitting their objectives is gonna look… is gonna reflect on us. Like, there could be a million different reasons, but we have to just…

997 01:50:16.240 ⇒ 01:50:25.030 Robert Tseng: I mean, you either size down the number of objectives, you only pick the ones that you can impact, like, that’s part of the exercise, too. Like, Zoran picked things that, like.

998 01:50:25.150 ⇒ 01:50:26.150 Robert Tseng: We’re…

999 01:50:26.400 ⇒ 01:50:32.199 Robert Tseng: Cutter gave a wide range of things. We picked the things that we knew we could hit, and then he’s hitting them, right? So, like.

1000 01:50:32.200 ⇒ 01:50:32.520 Henry Zhao: Yeah.

1001 01:50:32.520 ⇒ 01:50:46.330 Robert Tseng: we kind of need to do the same thing across… and you’re… you have more… I mean, you have more hours, one, you have more budget than Doron does, like, because you’re kind of hitting other teams. Like, we only did this for farm ops, but, like.

1002 01:50:46.490 ⇒ 01:50:54.250 Robert Tseng: you know, we have lifecycle marketing here, you have product insights, like, it is all very, like, kind of fluffy at this point. So…

1003 01:50:55.960 ⇒ 01:51:02.499 Robert Tseng: I mean, yeah, this is not easy work, this is the hard work. This is why it’s, like, difficult for me to do this across, like, many clients, which is why I’ve kind of

1004 01:51:02.710 ⇒ 01:51:08.710 Robert Tseng: like, when you run it… run with it on Eden? But, like, we do this for every client, right? So…

1005 01:51:11.130 ⇒ 01:51:17.580 Henry Zhao: I think it’s the same question I had from yesterday, our one-on-one, like, for example, the COGS stuff. If I’m not in those negotiations, how do I…

1006 01:51:17.770 ⇒ 01:51:21.769 Henry Zhao: do an analysis where I can actually impact, like, COGS, you know what I mean?

1007 01:51:23.090 ⇒ 01:51:27.920 Henry Zhao: So my work on Monday was to understand, like, how could I do this? And I don’t have a clear understanding from Eden.

1008 01:51:28.040 ⇒ 01:51:32.590 Henry Zhao: Because, like, Brad is the one doing the negotiating, and, like, I can talk to Brad, but…

1009 01:51:32.840 ⇒ 01:51:35.289 Henry Zhao: I don’t know… I’m not super…

1010 01:51:35.290 ⇒ 01:51:38.499 Robert Tseng: Yeah, but we already talked about that yesterday. Didn’t I… didn’t I answer that?

1011 01:51:38.840 ⇒ 01:51:39.510 Henry Zhao: Yeah.

1012 01:51:43.210 ⇒ 01:51:53.970 Robert Tseng: If we have an accurate understanding of what current COGS is, we know our volumes, then we give him leverage in those negotiations. I gave you the example of how I was able to help them to claw back this situation from

1013 01:51:54.070 ⇒ 01:52:05.890 Robert Tseng: From… from, whatever, like, the offer. So, like, that’s… that’s how you… that’s… that’s the whole, like, partnership, where, like, the… the business stakeholder, they’re the one that’s, like.

1014 01:52:05.980 ⇒ 01:52:19.479 Robert Tseng: executing the process, or, like, they own the budget, or whatever. Like, they need to make a decision. We influence the decision by, like, telling them, like, how to make that decision. Like, that’s… that is very much how data partners with

1015 01:52:19.590 ⇒ 01:52:23.499 Robert Tseng: Like, this… with other biz… with other business stakeholders.

1016 01:52:25.830 ⇒ 01:52:28.759 Robert Tseng: So, like, I mean, if it’s, like.

1017 01:52:29.160 ⇒ 01:52:35.250 Robert Tseng: we need to go through that for every topic, like, we can spend time doing that, but, like, I’m kind of, like.

1018 01:52:36.560 ⇒ 01:52:38.240 Robert Tseng: I mean, I’m not as…

1019 01:52:38.620 ⇒ 01:52:46.099 Robert Tseng: pushy as maybe UTAM is, and demanding things by certain times or whatever. I’m, like, trying to give you the…

1020 01:52:46.730 ⇒ 01:52:51.389 Robert Tseng: like… You’re… you’ll… let you kind of take the reins

1021 01:52:52.030 ⇒ 01:52:54.139 Robert Tseng: But I… I am just gonna say, like.

1022 01:52:54.420 ⇒ 01:52:59.000 Robert Tseng: If by next week I don’t see anything, I’m gonna just claw back a lot of this scope.

1023 01:52:59.020 ⇒ 01:53:15.410 Robert Tseng: And, like, I don’t know, like, we’re just gonna have to… we’re gonna have to kind of, like, crank up the velocity. So, like, I think that’s my approach. I’m, like, hands-off until I need to be hands-off. Otherwise, like, I kind of expect you to drive and, like, tell me, like, where I can help.

1024 01:53:15.410 ⇒ 01:53:28.579 Robert Tseng: But, you know, if it gets to the point where I think, like, I don’t really think things are moving, then I will just jump in and just kind of take over again. So, that’s just my approach to it. It’s… maybe that’s not what other people would do, but, like, yeah, I think that’s…

1025 01:53:28.980 ⇒ 01:53:30.060 Robert Tseng: I’m, I mean…

1026 01:53:30.320 ⇒ 01:53:39.550 Robert Tseng: I’m not, like I said, I’m not gonna… I’m not gonna push too hard on… on… on this week, like, I… I think we have plenty of time to, like, figure these things out, and, like.

1027 01:53:40.230 ⇒ 01:53:45.020 Robert Tseng: I clearly am making myself available to, like, talk through what we need to talk through.

1028 01:53:45.730 ⇒ 01:53:59.739 Robert Tseng: But yeah, come next week, if I don’t feel ready to present on Wednesday, I will do whatever I need to do by then to have something done. And I’m sure that I will have… I will be able to come up with something to present on Wednesday, even if I look at it by Monday.

1029 01:54:01.170 ⇒ 01:54:06.820 Henry Zhao: Okay, but is it fair to say that my… the action items from row 24 to 28 is a… is a good start?

1030 01:54:07.530 ⇒ 01:54:10.100 Henry Zhao: For me to be able to have something by end of the week.

1031 01:54:11.070 ⇒ 01:54:23.809 Robert Tseng: Yeah, I mean, these action items are, like, just… I don’t really need to hear these things from you. I think you should be… you telling me you don’t know what the priorities are is, like, that’s… that’s not a great answer, right? Because, like.

1032 01:54:24.070 ⇒ 01:54:28.540 Robert Tseng: you should be the stakeholder, you should be the partner to all these people. If you think.

1033 01:54:28.540 ⇒ 01:54:29.540 Henry Zhao: You know what the priorities are.

1034 01:54:29.950 ⇒ 01:54:36.449 Robert Tseng: Yeah, so, like, I mean, you kind of… you kind of shot yourself in the foot on the stand-up earlier, because you said you didn’t know what the priorities were.

1035 01:54:36.680 ⇒ 01:54:41.619 Robert Tseng: That’s why UTAM kind of, like, flipped out there. But, like, Yeah, I, I…

1036 01:54:42.400 ⇒ 01:54:48.340 Robert Tseng: I… I don’t… to me, these action items are just, like… it’s like a means to an end, like…

1037 01:54:48.550 ⇒ 01:54:54.420 Robert Tseng: I’m… at this point, I’ve… I’m just, like, think… I’m… I care about, like, the deliver… like, the deliverable.

1038 01:54:54.420 ⇒ 01:54:55.609 Henry Zhao: So… Hmm.

1039 01:54:56.200 ⇒ 01:55:10.119 Robert Tseng: like, I… if you need to help, if you need help driving these things, like, yeah, we can… we can talk about that, but what I… I need you to, like, go from goal to deliverable. Like, I think there’s just, like, there isn’t, like, an end-to-end, like.

1040 01:55:10.320 ⇒ 01:55:20.149 Robert Tseng: like, chain that I’m seeing in kind of what you’re sharing with me. Like, this 2026 analysis plan is just kind of a head-scratcher to me, because, like.

1041 01:55:20.160 ⇒ 01:55:35.959 Robert Tseng: like I said, for every client, we’re already pushing things out on a weekly basis, and Eden is, like, we… if anything, they should be the most set up for us to be doing weekly analysis, because we control all the data. So.

1042 01:55:36.450 ⇒ 01:55:40.680 Robert Tseng: like… Yeah, like, I… I… I… that’s… that’s…

1043 01:55:40.900 ⇒ 01:55:44.790 Robert Tseng: That’s… that’s my assessment of, kind of, where things are at.

1044 01:55:45.160 ⇒ 01:55:48.629 Robert Tseng: So it’s completely… to me, it’s completely on us to…

1045 01:55:48.830 ⇒ 01:55:57.539 Robert Tseng: decide. This is the… these are the questions, these are the analyses, this is what… this is what the deliverable is. It’s completely on us. We have so much

1046 01:55:57.540 ⇒ 01:56:15.739 Robert Tseng: like, free reign to do that. Like, this is the ideal position to be in, actually, compared to all the other clients where we are limited because we don’t have access to whatever here and there, or, like, we only get to work with one stakeholder. We have access to their entire team at this point, so, like, I think that…

1047 01:56:16.040 ⇒ 01:56:19.639 Robert Tseng: You know, like, this is the best spot to be at.

1048 01:56:20.170 ⇒ 01:56:22.069 Henry Zhao: No, I agree, that’s a good point, yeah.

1049 01:56:22.070 ⇒ 01:56:22.640 Robert Tseng: Yeah.

1050 01:56:23.940 ⇒ 01:56:24.780 Robert Tseng: Yeah.

1051 01:56:25.400 ⇒ 01:56:30.499 Robert Tseng: Yeah, so, I mean, this isn’t, like, a pep call, like, pep talk call, like, I’m here to, like.

1052 01:56:31.000 ⇒ 01:56:40.499 Robert Tseng: Like, I mean, I want you to do the thinking. Like, what do we… what do we need, what do we need to do? I mean, I’m trying to help you, because obviously you’re gonna…

1053 01:56:40.730 ⇒ 01:56:41.400 Robert Tseng: Bye.

1054 01:56:41.530 ⇒ 01:56:58.520 Robert Tseng: I don’t want you to be getting the type of pressure that you’re getting from Utam either. Like, I… I… I… I advocated for you to be on this client. So, I guess, like, this is… this is, like, I’ll sit here for another 10 minutes, but, like.

1055 01:56:58.860 ⇒ 01:57:03.770 Robert Tseng: And if we don’t get closer, we don’t get closer. Like, I think I, you know, this is…

1056 01:57:04.290 ⇒ 01:57:06.179 Henry Zhao: No, I think I should do those meetings.

1057 01:57:06.430 ⇒ 01:57:10.579 Henry Zhao: I should do the action items right now and work on the analysis. That’s basically it.

1058 01:57:11.440 ⇒ 01:57:12.170 Robert Tseng: Okay.

1059 01:57:13.220 ⇒ 01:57:16.549 Henry Zhao: And I will reach out for help if I need, so I can have something done by end of day tomorrow.

1060 01:57:17.380 ⇒ 01:57:17.980 Henry Zhao: To give myself…

1061 01:57:17.980 ⇒ 01:57:27.710 Robert Tseng: I mean, obviously, I have constraints and stuff, so, like, I’m not gonna reply to you instantly, like, I think this is kind of, this is the best time that you have for me, like, but,

1062 01:57:27.960 ⇒ 01:57:29.119 Robert Tseng: Yeah, I think…

1063 01:57:29.230 ⇒ 01:57:38.070 Robert Tseng: I’ll… like I said, I’ll get… I’ll get this deck started, like, I’ll kind of tag… tag you guys in, you guys will go ahead and be meeting with Mitesh, so, I mean, I’m sure Zoran will build out some newer map.

1064 01:57:38.970 ⇒ 01:57:42.479 Robert Tseng: Yeah, like, if we need to, like, shift things, because…

1065 01:57:42.870 ⇒ 01:57:59.999 Robert Tseng: there’s too many stakeholders, like, that’s what I’m seeing right now. Like, you’re kind of, like, kind of spinning around in circles because there’s too many… too many stakeholders, and you’re not really owning… owning them. Like, for Zaron, like, the Zaron-Cutter kind of, like, relationship is, like, very clear at this point.

1066 01:58:00.410 ⇒ 01:58:15.280 Robert Tseng: And so if… if we need to just, like, split it up more, like, I move another, like, move Zaron into another, like, team, like, that’s fine, too. Like, I… I need to be able to make those decisions. Like, I… I’m letting you, kind of.

1067 01:58:15.400 ⇒ 01:58:22.459 Robert Tseng: like I said, I let you drive for the past couple weeks, but if the driving is not going anywhere, then I’m gonna make some of those decisions, so…

1068 01:58:24.000 ⇒ 01:58:24.730 Robert Tseng: Yeah.

1069 01:58:27.110 ⇒ 01:58:39.359 Robert Tseng: like, I would consider, out of your bucket, lifecycle marketing, I would consider moving to Zora. Like, I would just try to keep him in the marketing world, and make sure that he’s holding Judd accountable, like, having him run these things. A lot of this is, like.

1070 01:58:39.370 ⇒ 01:58:52.769 Robert Tseng: data that I feel like he could be familiar with already. And then you would literally just be doing pharmacy operations, and then, like, this is very undeveloped, but I do think this is good. I mean, this is a… this is a good domain for us to go to as well.

1071 01:58:53.850 ⇒ 01:58:55.550 Henry Zhao: Okay, I think that’s a good idea.

1072 01:58:58.170 ⇒ 01:58:58.840 Robert Tseng: Okay.

1073 01:58:59.100 ⇒ 01:59:14.269 Robert Tseng: Yeah, I mean, if that’s… if that helps you narrow it down, then, yeah, I think pharmacy operations and, like, making sure… to me, it’s… there’s ops, there’s finance, this is, like, not the same thing, right? There’s…

1074 01:59:15.550 ⇒ 01:59:20.929 Robert Tseng: There’s finance… marketing, like, I could get drawn on this.

1075 01:59:21.350 ⇒ 01:59:22.340 Henry Zhao: More?

1076 01:59:24.310 ⇒ 01:59:33.140 Zoran Selinger: Yes, I’d be fine with that, if you guys think I can… I can assist there, obviously, that is… that is okay. I can… I can do that.

1077 01:59:33.510 ⇒ 01:59:39.020 Zoran Selinger: I’ll just, yeah, need to be briefed, yes.

1078 01:59:39.020 ⇒ 01:59:48.029 Robert Tseng: Okay, I mean, I’ll… we… I mean, it sounds like we already are kind of in agreement, so this is… this is gonna move to Zuran. So,

1079 01:59:48.710 ⇒ 01:59:55.219 Robert Tseng: Yeah, okay, then I can… I’ll meet with Jeron separately, I’ll brief you on this, so we can move some of this work over.

1080 01:59:55.220 ⇒ 01:59:56.809 Henry Zhao: I can also brief him on in if you want.

1081 01:59:58.150 ⇒ 02:00:06.500 Robert Tseng: Okay, yeah, I mean, I would… I would obviously prefer that, so… I think,

1082 02:00:06.970 ⇒ 02:00:24.800 Robert Tseng: what’s gonna come out of this is, I think, these objectives go onto the Martech roadmap as well. So, I mean, I don’t even know if I want to call this MarTech anymore, but, like, to me, this is still part of marketing. It’s less about, like, top of funnel tracking and everything, but it’s, like, you know, activating kind of the data that we have, so…

1083 02:00:24.910 ⇒ 02:00:36.209 Robert Tseng: Yeah, if you want to brief Zoran on this, I think that would be fine. But I also don’t want you to get distracted on, like, taking the time to go and brief him, and then you’re not actually, like, doing… doing this.

1084 02:00:36.210 ⇒ 02:00:41.980 Henry Zhao: No, no, no, I gotta know, yeah. And the briefing should take only 30 minutes, there’s not that much complicated complexity.

1085 02:00:42.710 ⇒ 02:00:43.420 Robert Tseng: Okay.

1086 02:00:43.910 ⇒ 02:00:54.069 Robert Tseng: Yeah, and then obviously, like, Sesame, I’m gonna make a decision on her by the end of next week, so if you’re not, like, working with her, like, or if she doesn’t put out anything.

1087 02:00:54.310 ⇒ 02:01:12.369 Robert Tseng: I mean, it could be her fault, it could not be her fault, but either way, the output’s gonna look like it was zero, and so she’s gonna… she’s not gonna be here anymore. So, you know, and then we either don’t, you know… so it’s kind of… it’s kind of on you, you gotta, like, protect your analyst. Like, if you… if you wanna… if you wanna have her, if you don’t, like, it’s kind of on you, so…

1088 02:01:12.510 ⇒ 02:01:13.330 Robert Tseng: Okay.

1089 02:01:13.530 ⇒ 02:01:14.320 Robert Tseng: Yeah.

1090 02:01:14.880 ⇒ 02:01:17.730 Robert Tseng: product insights, I…

1091 02:01:21.060 ⇒ 02:01:30.860 Robert Tseng: I mean, I feel like you should be able to cover two domains, like, I don’t… I don’t think this is… I don’t think this is unfair, like, yeah, so…

1092 02:01:31.640 ⇒ 02:01:33.020 Robert Tseng: Yeah, I guess…

1093 02:01:36.220 ⇒ 02:01:48.579 Robert Tseng: I don’t think we necessarily need another roadmap and a set of objectives, but if that helps you to frame things, like, do the exercise, but it just has to have, like, things that you’re executing against, so…

1094 02:01:48.820 ⇒ 02:01:49.560 Henry Zhao: Yeah, okay.

1095 02:01:50.350 ⇒ 02:01:53.549 Henry Zhao: Yeah, and it’s not like I’m swamped anymore, so it’s not like a bandwidth issue, it’s just…

1096 02:01:53.850 ⇒ 02:02:01.540 Henry Zhao: I think I just need some time to think, like, just… not a long time, but just, like, some time to think about this stuff, and have a plan, and execute, basically.

1097 02:02:03.840 ⇒ 02:02:04.550 Robert Tseng: Okay.

1098 02:02:04.890 ⇒ 02:02:06.190 Henry Zhao: Yeah.

1099 02:02:06.850 ⇒ 02:02:11.889 Robert Tseng: Alright, so I guess we’ll probably check back in on this by end of the week, but I’ll… I’ll just…

1100 02:02:12.210 ⇒ 02:02:15.940 Robert Tseng: I’ll give you the benefit of the doubt, we’ll just kind of keep it at that for now.

1101 02:02:16.460 ⇒ 02:02:18.940 Robert Tseng: Alright.

1102 02:02:19.160 ⇒ 02:02:20.549 Robert Tseng: I think that’s… that’s all I got.

1103 02:02:20.550 ⇒ 02:02:29.510 Henry Zhao: while you’re swamped, if I’m, like, halfway along the way, and I want somebody to, like, help me, just to, like, a second pair of eyes on the analysis, should I reach out to Amber, or…

1104 02:02:29.760 ⇒ 02:02:36.769 Henry Zhao: go to client Eden and hope somebody responds, like, what do you think is the best way to, like, be timely in getting feedback? So I can… so instead of, like.

1105 02:02:36.770 ⇒ 02:02:45.719 Robert Tseng: I mean, I review all the analysis, like, anytime it’s… anytime Amber has sent me something, I’m gonna take… I won’t… I review it within 24 hours. So, like, I…

1106 02:02:46.290 ⇒ 02:02:58.110 Robert Tseng: like, I think I review outlines, I think that’s a good point for review. Like, I don’t think you should send me something that’s, like, 60% of the way there, and that’s, like, completely doesn’t make any sense. Like, I don’t think that would be a good use of time, so…

1107 02:02:58.110 ⇒ 02:03:08.789 Robert Tseng: Yeah, outlines are good, and then, like, first… first passes on slides are good. I think Amber kind of gets it within, like, two reviews now, so I… at least that’s what’s working for her.

1108 02:03:08.930 ⇒ 02:03:10.150 Henry Zhao: I mean…

1109 02:03:10.150 ⇒ 02:03:13.140 Robert Tseng: Yeah, like, I think that to me is the kind of the expectation.

1110 02:03:13.850 ⇒ 02:03:29.400 Henry Zhao: Yeah, I just want to avoid the situation where Thursday I think I’m done, I ask for feedback, nobody responds till Friday afternoon, and it’s like, this is not good, or, like, this is not something I can present to Eden, and then Monday is the same situation, you know? So I’m trying to plan ahead for that, and avoid that.

1111 02:03:29.530 ⇒ 02:03:32.619 Henry Zhao: Obviously, I want something to be good, but in case it’s not.

1112 02:03:32.870 ⇒ 02:03:36.050 Henry Zhao: Like, making sure we don’t get back into that situation.

1113 02:03:36.760 ⇒ 02:03:42.009 Robert Tseng: Yeah, well, I mean, it’s kind of late, so I don’t know if we will avoid it, so… we’ll just have to see.

1114 02:03:43.790 ⇒ 02:03:44.690 Robert Tseng: Yeah.

1115 02:03:46.030 ⇒ 02:03:47.030 Henry Zhao: I’ll do my best.

1116 02:03:47.590 ⇒ 02:03:48.170 Robert Tseng: Yeah.

1117 02:03:48.290 ⇒ 02:03:49.110 Robert Tseng: Okay.

1118 02:03:49.270 ⇒ 02:03:50.040 Robert Tseng: Alright.

1119 02:03:50.320 ⇒ 02:03:51.519 Robert Tseng: Talk to you guys later.

1120 02:03:51.880 ⇒ 02:03:52.430 Henry Zhao: Alright, easily.