Meeting Title: [HOLD] Weekly Grooming Date: 2025-11-19 Meeting participants: Ashwini Sharma, Uttam Kumaran, Rico Rejoso, Henry Zhao, Casie Aviles, Amber Lin, Mustafa Raja


WEBVTT

1 00:05:49.330 00:05:50.250 Uttam Kumaran: Hey.

2 00:05:53.370 00:05:54.429 Ashwini Sharma: Hey, Utam.

3 00:05:55.100 00:05:55.870 Uttam Kumaran: Ayy.

4 00:05:56.160 00:05:57.070 Uttam Kumaran: How’s it going?

5 00:05:57.320 00:05:58.100 Ashwini Sharma: Good?

6 00:06:00.330 00:06:06.380 Uttam Kumaran: Great, I guess, yeah, I guess we usually… it takes a few days to, like, get people in, but…

7 00:06:06.890 00:06:11.050 Uttam Kumaran: So I know things may be a little bit crazy, but…

8 00:06:11.550 00:06:19.840 Uttam Kumaran: tell me what you’ve gotten access to so far, and I can sort of make sure that you have… we can talk through a couple of tasks, and sort of see,

9 00:06:20.660 00:06:22.219 Uttam Kumaran: See where you can plug in.

10 00:06:22.840 00:06:28.659 Ashwini Sharma: Yeah, so, so I, I got access to probably almost all the systems,

11 00:06:29.300 00:06:32.640 Ashwini Sharma: Got access to linear, notion.

12 00:06:33.140 00:06:35.070 Uttam Kumaran: Clockify…

13 00:06:35.780 00:06:44.510 Ashwini Sharma: That’s dead, and then, got access to AI, GitHub, repo, cursor… GPT…

14 00:06:45.710 00:06:50.420 Ashwini Sharma: What else? Yeah, I think, I think that, that should get me started.

15 00:06:52.330 00:06:52.940 Uttam Kumaran: Okay.

16 00:06:53.410 00:06:55.789 Uttam Kumaran: You’re in… are you in,

17 00:06:56.330 00:07:00.580 Uttam Kumaran: GitHub for, just in the organization in general.

18 00:07:02.200 00:07:08.420 Ashwini Sharma: Brentforge AI repo, like, I didn’t see any org over there, it was just a repo.

19 00:07:09.720 00:07:10.920 Uttam Kumaran: Okay, okay.

20 00:07:11.350 00:07:12.990 Uttam Kumaran: Cool.

21 00:07:13.410 00:07:17.780 Uttam Kumaran: So I guess, yeah, today, maybe we can talk a little bit about,

22 00:07:18.490 00:07:23.439 Uttam Kumaran: where we probably immediately need some support, and then I can…

23 00:07:23.730 00:07:27.380 Uttam Kumaran: Sort of talk to you…

24 00:07:27.620 00:07:30.110 Uttam Kumaran: Yeah, just, like, how to kind of get ramped up.

25 00:07:30.440 00:07:32.489 Ashwini Sharma: Sure. So I…

26 00:07:32.490 00:07:35.330 Uttam Kumaran: Put in… let me just get my notes…

27 00:07:41.120 00:07:49.210 Uttam Kumaran: Cool, so if… do you want to share a screen? Can you see if you can see anything for… oh, you may not be able to… okay, actually, let me add to you.

28 00:07:49.360 00:07:53.250 Uttam Kumaran: What is… can you send me your, GitHub username in…

29 00:07:54.030 00:08:00.740 Ashwini Sharma: It’s AK Sharmon Tech. It was open right over here, that’s it.

30 00:08:13.060 00:08:15.209 Ashwini Sharma: Oh, thanks, Rico.

31 00:08:17.410 00:08:18.110 Uttam Kumaran: Nice.

32 00:08:19.890 00:08:20.830 Uttam Kumaran: Okay.

33 00:08:31.730 00:08:36.359 Uttam Kumaran: So, we are working with this client called Eden Health.

34 00:08:36.559 00:08:43.799 Uttam Kumaran: And I will send their thing to you here.

35 00:08:44.179 00:08:47.530 Uttam Kumaran: I’m just adding you to their repo.

36 00:08:48.520 00:08:50.320 Ashwini Sharma: Aiden. Okay.

37 00:08:52.310 00:08:53.020 Ashwini Sharma: Cool.

38 00:08:59.110 00:09:00.450 Uttam Kumaran: Kind of the…

39 00:09:00.450 00:09:02.830 Ashwini Sharma: You said it’s a health company, right?

40 00:09:03.380 00:09:04.579 Uttam Kumaran: Health company, yeah.

41 00:09:04.580 00:09:09.689 Ashwini Sharma: And the contractors are getting access to the prod data?

42 00:09:10.520 00:09:14.690 Ashwini Sharma: For a health company? Or… how’s it working, like…

43 00:09:14.920 00:09:19.969 Ashwini Sharma: Anybody is able to access their data, if they have access to the repo, or it’s just a dummy.

44 00:09:19.970 00:09:20.600 Uttam Kumaran: No.

45 00:09:20.600 00:09:21.050 Ashwini Sharma: output.

46 00:09:21.050 00:09:25.470 Uttam Kumaran: We’re not, I mean, we’re not… we’re not working on patient data, like, there’s a sales…

47 00:09:25.710 00:09:28.329 Uttam Kumaran: Marketing, like, there’s all this other data, right?

48 00:09:28.580 00:09:31.500 Uttam Kumaran: Yeah, yeah, so now we’re not working on patient data.

49 00:09:31.960 00:09:36.619 Uttam Kumaran: But yeah, if you can… I just invited you to the repo, if you can…

50 00:09:36.750 00:09:39.019 Ashwini Sharma: Yeah. Take a look.

51 00:09:39.020 00:09:46.100 Uttam Kumaran: Both Awash, so today’s gonna be a little bit tough, because both Awash and… Demolade, who are the core…

52 00:09:46.300 00:09:49.070 Uttam Kumaran: Analytics engineers on this client are out, but…

53 00:09:49.260 00:09:54.220 Uttam Kumaran: at least I can let you poke around. I don’t know if I’ll… I’m… I don’t think I have…

54 00:09:54.360 00:09:56.550 Uttam Kumaran: Enough context to give you, like.

55 00:09:56.900 00:10:04.690 Uttam Kumaran: Or the time to give, like, sort of the full overview, but at least I can get you into here, and so you can take a look at the repo.

56 00:10:05.810 00:10:09.200 Ashwini Sharma: Okay, I’m, I’m in the,

57 00:10:09.930 00:10:12.520 Ashwini Sharma: What repo should I be looking at?

58 00:10:12.990 00:10:13.560 Ashwini Sharma: Intake?

59 00:10:13.560 00:10:14.960 Uttam Kumaran: This one.

60 00:10:16.450 00:10:18.590 Uttam Kumaran: I just sent it here in…

61 00:10:18.590 00:10:20.479 Ashwini Sharma: I didn’t analytics, okay?

62 00:10:26.210 00:10:30.469 Uttam Kumaran: And then let me get… let me make sure you’re in, BigQuery as well.

63 00:11:15.640 00:11:18.329 Uttam Kumaran: And… where is…

64 00:11:22.660 00:11:27.210 Ashwini Sharma: Right, it’s a dbt repo, I’m just trying to open it on cursor.

65 00:11:28.180 00:11:30.860 Uttam Kumaran: Yes, it’s a dbt repo,

66 00:11:32.760 00:11:37.120 Uttam Kumaran: Yeah, and again, I think just… I will kind of leave,

67 00:11:37.470 00:11:41.300 Uttam Kumaran: We’ll have to wait until Awash gets back, because he’ll give you…

68 00:11:42.860 00:11:45.110 Uttam Kumaran: He’ll give, kind of, the overview.

69 00:11:45.440 00:11:50.480 Uttam Kumaran: But I just want to make sure you’re into things, and then let me… Also check,

70 00:11:53.230 00:11:54.770 Uttam Kumaran: Yeah, I’m serious.

71 00:11:54.770 00:11:58.719 Ashwini Sharma: And what’s the issue with this client?

72 00:12:01.990 00:12:16.869 Uttam Kumaran: there’s a lot of things, so I’m not gonna… I’m not gonna be able to explain to you all the things for this client, but I just want to make sure you’re in. I’m not actively working with them, so… Okay. But today, it’s probably… I just want to make sure you have access to everything, and then, honestly.

73 00:12:17.050 00:12:22.339 Uttam Kumaran: I may just be tomorrow, it’s best to just get time with the Wish.

74 00:12:22.570 00:12:25.450 Ashwini Sharma: The Demolade’s out on holiday.

75 00:12:25.450 00:12:30.299 Uttam Kumaran: And then, Zoran and Henry are, like, the core analysts.

76 00:12:30.410 00:12:31.490 Uttam Kumaran: On the client?

77 00:12:31.860 00:12:35.179 Uttam Kumaran: But yeah, we’re… so… so…

78 00:12:35.390 00:12:41.080 Uttam Kumaran: To give you a sense, like, we’re working with almost 12 different clients, and we’re… so for Eden Health, we are their entire data team.

79 00:12:41.560 00:12:46.439 Uttam Kumaran: So, we have, like, almost, like, 4 or 5 different work streams that we’re doing for them.

80 00:12:46.710 00:12:51.740 Uttam Kumaran: Cool. So there are a lot of tickets and linear and things like that, but again, I’ll let…

81 00:12:51.930 00:13:00.380 Uttam Kumaran: I’ll let Awash sort of hand that off. I just wanted to get you in today so that tomorrow you don’t have to have any access issues, but…

82 00:13:01.200 00:13:06.940 Uttam Kumaran: that may be all we can get done today. And just so you meet… you meet some people, so…

83 00:13:07.240 00:13:07.920 Ashwini Sharma: Okay.

84 00:13:08.240 00:13:16.170 Ashwini Sharma: And, do… does everybody work in USRs, or, like, are Temilade and Avesh available?

85 00:13:16.510 00:13:18.089 Ashwini Sharma: Sometime during the day.

86 00:13:19.080 00:13:30.920 Uttam Kumaran: Most of the people… are working U.S. hours, except for… Except for Zoran.

87 00:13:31.040 00:13:32.830 Uttam Kumaran: But, yeah, most of the people…

88 00:13:36.350 00:13:36.940 Ashwini Sharma: Okay.

89 00:13:37.260 00:13:41.469 Ashwini Sharma: So, so they’ll, they’ll be available in the, in the night, right? I think that’s fine.

90 00:13:43.160 00:13:55.169 Uttam Kumaran: Yeah, yeah, yeah. So their main… everybody’s… because a lot of our stuff is during U.S. client hours. Yeah, yeah. But, like, Demolade is in Malta, in Spain, Oasis in Pakistan.

91 00:13:55.520 00:14:00.580 Uttam Kumaran: Mustafa’s in Pakistan. We don’t have anyone else in India. Zoran is in Eastern Europe.

92 00:14:00.800 00:14:03.289 Uttam Kumaran: I’m here in Austin, Robert’s in New York.

93 00:14:03.770 00:14:06.640 Uttam Kumaran: Sam is in Ohio, so everybody’s kind of, like, everywhere.

94 00:14:06.640 00:14:08.600 Ashwini Sharma: Distributed, okay, no issues there.

95 00:14:09.460 00:14:12.499 Ashwini Sharma: I’ll catch him tomorrow, when he comes.

96 00:14:18.500 00:14:23.310 Ashwini Sharma: And this repo, okay, you don’t have much information, right?

97 00:14:24.540 00:14:27.260 Uttam Kumaran: Yeah, hit me with any questions, I just don’t have, like.

98 00:14:27.380 00:14:29.989 Uttam Kumaran: I don’t know exactly the immediate priorities.

99 00:14:30.380 00:14:33.579 Uttam Kumaran: So, I don’t think I can help.

100 00:14:34.390 00:14:38.060 Uttam Kumaran: there, but I do… I can…

101 00:14:39.670 00:14:46.950 Uttam Kumaran: Definitely, if you send… if you start poking around today, I think just to get yourself familiar, and then I’ll make sure you’re also in the,

102 00:14:49.500 00:14:55.340 Uttam Kumaran: With the rest of the, the platform.

103 00:14:56.380 00:15:00.450 Uttam Kumaran: So, like, I’m gonna make sure you’re in Eden Data Warehouse, let me just check.

104 00:15:03.440 00:15:06.479 Ashwini Sharma: And you give me access to BigQuery as well, right?

105 00:15:06.970 00:15:08.380 Uttam Kumaran: Yeah, I’m adding you now.

106 00:15:17.130 00:15:23.459 Uttam Kumaran: Oh, actually, maybe, Henry, I can have you maybe give an overview of Eden to Ashwini.

107 00:15:23.850 00:15:24.270 Henry Zhao: Oh my.

108 00:15:24.270 00:15:25.090 Uttam Kumaran: Oh, no.

109 00:15:25.090 00:15:26.789 Henry Zhao: It’s crazy today. I’ve been in.

110 00:15:26.790 00:15:27.330 Uttam Kumaran: Back to back to batch.

111 00:15:28.120 00:15:31.070 Henry Zhao: No, it’s just a back-to-back-to-back-to-back meetings.

112 00:15:31.760 00:15:35.739 Henry Zhao: So, Ashmini, a lot going on with Eden. Wait, wait, wait, so, Utem, first of all…

113 00:15:35.740 00:15:40.840 Uttam Kumaran: Give me, give me one second, let me, let me just make sure he’s in… let me make sure he’s in,

114 00:15:42.230 00:15:47.310 Uttam Kumaran: BigQuery, and then I can hand it to you. I’m gonna jump to another meeting, then I’ll come back.

115 00:15:47.710 00:15:51.549 Uttam Kumaran: But let me just, like… let me just make sure he has the same…

116 00:15:52.080 00:15:54.050 Uttam Kumaran: access as you do, Henry.

117 00:15:55.430 00:15:59.160 Uttam Kumaran: So you have BigQuery admin, okay, BigQuery admin, Looker Admins.

118 00:16:01.230 00:16:03.760 Henry Zhao: Well, let me gather my thoughts, because I’ve had so many meetings, I need to…

119 00:16:03.760 00:16:04.940 Uttam Kumaran: Okay, okay.

120 00:16:05.700 00:16:06.640 Henry Zhao: Take notes on what I.

121 00:16:06.640 00:16:15.449 Uttam Kumaran: Basically, I want… Ashwini can start to take on some of the dbt data modeling. I also would like him to own, like, monitoring and, like, Metaplane.

122 00:16:15.540 00:16:27.060 Uttam Kumaran: So, to kind of look at uptime, like, make sure… getting… making sure that Metaflane is on all of our MARTS models, and that we’re tracking things, and then just generally giving him an overview of, like.

123 00:16:27.160 00:16:28.410 Uttam Kumaran: the codebase?

124 00:16:28.640 00:16:32.050 Uttam Kumaran: So let me… so I’m just adding you now…

125 00:16:37.670 00:16:40.110 Uttam Kumaran: query…

126 00:16:40.380 00:16:43.640 Henry Zhao: So we’re pretty much transitioning a lot of Eden stuff to KC and Oshini, right?

127 00:16:45.590 00:16:52.400 Uttam Kumaran: Yeah, I think Casey’s gonna start to help on, like, AI stuff and on analysis.

128 00:16:52.530 00:17:00.510 Uttam Kumaran: Okay. And then, yeah, I think ideally, as Sweeney starts to take on some of the data engineering, analytics engineering work… Perfect.

129 00:17:03.290 00:17:08.789 Henry Zhao: Yeah, so KC, our immediate analysis on attribution stuff, so we’ll… we’ll talk about that.

130 00:17:13.940 00:17:21.170 Uttam Kumaran: Okay, and then let me, get the BigQuery link.

131 00:17:23.619 00:17:28.299 Uttam Kumaran: You should have got… you should have got an invite, Ashmini, I don’t know.

132 00:17:28.620 00:17:29.819 Uttam Kumaran: Do you see that?

133 00:17:30.890 00:17:36.039 Ashwini Sharma: Checking it, checking it, no, I don’t see it on my…

134 00:17:38.530 00:17:41.470 Ashwini Sharma: Oh, okay, hold on, this is GitHub, sorry.

135 00:17:42.780 00:17:44.740 Ashwini Sharma: No, it’s still not there.

136 00:17:48.130 00:17:51.549 Ashwini Sharma: You, you send it to the Brainforge ID, right? Not, not…

137 00:17:51.550 00:17:54.140 Uttam Kumaran: Yeah, it may not… it may or may not…

138 00:17:55.010 00:17:58.939 Uttam Kumaran: Invite you, but see if you can access this link.

139 00:18:04.070 00:18:07.549 Henry Zhao: Also, Casey, you know SQL as well, right? Obviously? Yes?

140 00:18:07.780 00:18:11.320 Casie Aviles: Yeah, I do have some experience with…

141 00:18:13.940 00:18:19.610 Casie Aviles: Is this for, like, the BigQuery, eden’s BigQuery, this link here.

142 00:18:20.290 00:18:28.049 Henry Zhao: Yeah, I have some easy data… ad hoc data pulls that I need today. I think it’s good for you to, like, go in there to understand the data structure.

143 00:18:28.710 00:18:30.259 Henry Zhao: Cause some of it’s a little bit messy.

144 00:18:30.750 00:18:33.240 Henry Zhao: Took a while with using cursor and things like that, too.

145 00:18:33.240 00:18:36.540 Ashwini Sharma: Yeah, I am inside BigQuery.

146 00:18:37.210 00:18:40.239 Ashwini Sharma: It’s the Eden Data Warehouse, right? That’s the one?

147 00:18:41.090 00:18:41.800 Uttam Kumaran: Yeah.

148 00:18:42.420 00:18:47.289 Henry Zhao: So, Utam, who should I be giving some of these easier exercises to Casey or Ashwini, so they can understand the difference?

149 00:18:47.290 00:18:50.270 Uttam Kumaran: What is… I would just give…

150 00:18:50.630 00:18:57.539 Uttam Kumaran: give one to both. Can I… yeah, I would just give one to either of them. Like, what are some of the questions?

151 00:18:59.090 00:19:00.270 Henry Zhao: So…

152 00:19:00.640 00:19:09.370 Henry Zhao: Some of the influencer conversions are not showing up in the edge layer, so we want to see what they’re showing up as, and figure out why it’s not showing up in the edge layer.

153 00:19:09.850 00:19:15.439 Uttam Kumaran: And that would be in… in the warehouse to find? Okay. And then what else is there?

154 00:19:17.830 00:19:24.429 Henry Zhao: there… right now, I’m using Cursor to try to figure out why order summary table doesn’t match the order summary in BASC.

155 00:19:24.900 00:19:33.440 Henry Zhao: Okay. So I have some analysis I can do there. I can literally just structure the questions, because I think it’s good for learning to, like, have structured.

156 00:19:33.440 00:19:42.190 Uttam Kumaran: Both of those are great, so I would… I would just pass either one off individually. Probably the second one I think you should hand to Ashwini, that’s sort of, like, some…

157 00:19:42.410 00:19:49.230 Uttam Kumaran: More of, like, data QA, and Ashwin, an order summary is, like, sort of our sales model.

158 00:19:49.450 00:19:56.869 Uttam Kumaran: So that’ll kind of give you… so maybe, Henry, I can… did… did you… did… Casey, did you ever get an overview of Eden, either?

159 00:19:58.000 00:20:01.599 Casie Aviles: Yeah, I was just looking at the slides that you shared.

160 00:20:03.230 00:20:07.130 Uttam Kumaran: But, like, overall, did you get an overview of, like, the repository?

161 00:20:08.150 00:20:09.259 Uttam Kumaran: Like, the codebase?

162 00:20:09.430 00:20:10.680 Casie Aviles: No, no, not good.

163 00:20:11.310 00:20:17.439 Uttam Kumaran: Okay, so maybe, Henry, can I ask you to… maybe I could start a breakout room, and then that way I can work with Amber on something else?

164 00:20:17.580 00:20:21.000 Uttam Kumaran: And then if you want to just give an overview, and then you guys can come back whenever.

165 00:20:22.380 00:20:23.390 Uttam Kumaran: What do you think?

166 00:20:25.070 00:20:26.340 Henry Zhao: Yeah. Yep, okay.

167 00:20:27.230 00:20:29.320 Uttam Kumaran: Alright.

168 00:20:40.840 00:20:41.580 Uttam Kumaran: Okay.

169 00:20:41.920 00:20:43.210 Uttam Kumaran: I created the room.

170 00:20:46.320 00:20:47.110 Henry Zhao: Thanks.

171 00:21:01.720 00:21:02.950 Uttam Kumaran: Okay!

172 00:21:04.190 00:21:07.350 Uttam Kumaran: Just us. Rico, you can stay wherever.

173 00:21:08.950 00:21:16.010 Uttam Kumaran: Okay, what’s a good place to start,

174 00:21:18.120 00:21:22.889 Uttam Kumaran: I basically have the next, like, 2-3 hours just to work on stuff, so…

175 00:21:46.200 00:21:50.289 Uttam Kumaran: Amber, or Masafa, like, what, anything that you guys are working on?

176 00:21:50.290 00:21:52.260 Amber Lin: Yeah, I was muted.

177 00:21:52.260 00:21:52.670 Uttam Kumaran: Oh.

178 00:21:52.670 00:22:05.609 Amber Lin: I was talking, I was like, why is nobody talking to me? I said, I need to go at 12 for lunch, but I have an hour. I don’t think Robert has said anything for the Insomnia weekly business review.

179 00:22:05.780 00:22:12.750 Amber Lin: So… might need to work an afternoon on that. Still working on the… Beautiful slides.

180 00:22:13.300 00:22:17.519 Amber Lin: And… Adding in, like, the new stuff that we wanted to do.

181 00:22:22.640 00:22:26.289 Mustafa Raja: Yeah, for me, I just started looking into the README stuff.

182 00:22:26.560 00:22:33.360 Mustafa Raja: And I see that, Away should programmatically created some aggregates.

183 00:22:33.520 00:22:37.420 Mustafa Raja: To verify the funnel that we have in amplitude.

184 00:22:37.640 00:22:44.239 Mustafa Raja: I believe I’m just going to look into that, look into the aggregates that he has created.

185 00:22:44.610 00:22:50.199 Mustafa Raja: And yeah, if it all adds up, I’ll just notify Robin that it looks good.

186 00:22:51.340 00:22:51.940 Uttam Kumaran: Okay.

187 00:22:57.820 00:23:01.009 Uttam Kumaran: Okay, yeah, the README stuff is probably the biggest priority.

188 00:23:01.610 00:23:06.910 Mustafa Raja: Yeah, or Robert… Robert’s ended the day, they’re meeting… Tomorrow.

189 00:23:25.300 00:23:27.480 Uttam Kumaran: So, do you need any help there?

190 00:23:29.590 00:23:35.320 Mustafa Raja: No, I’m, for now, I’m just going to understand what’s happening. Okay.

191 00:23:36.440 00:23:43.330 Mustafa Raja: I believe, just looking at the conversations,

192 00:23:43.480 00:23:50.600 Mustafa Raja: I believe, Robert couldn’t replicate, what, Aviation programmatically.

193 00:23:50.790 00:23:58.839 Mustafa Raja: on the UI, and I’m just seeing… what’s it called? The… aggregates in the UI, so…

194 00:23:59.510 00:24:04.200 Mustafa Raja: I think even giving these to Robert might answer his questions.

195 00:24:05.650 00:24:06.210 Uttam Kumaran: Okay.

196 00:24:16.860 00:24:24.749 Uttam Kumaran: Okay, well, yeah, I mean, it’s just blocked by you asking him that. I would… I would try to do that as soon as possible. He sent a message earlier this morning.

197 00:24:24.930 00:24:29.489 Uttam Kumaran: Saying this was super urgent, so you’re… Running out of time.

198 00:24:31.280 00:24:32.070 Mustafa Raja: Yeah.

199 00:24:32.170 00:24:40.400 Mustafa Raja: I just, I just, on my side, I also want to verify that this is all good before sending out the message from it.

200 00:24:41.610 00:24:42.929 Uttam Kumaran: What is all good?

201 00:24:43.610 00:24:46.620 Mustafa Raja: The aggregates that, we set up.

202 00:24:49.780 00:24:53.569 Uttam Kumaran: But did you read through the Slack, like…

203 00:24:55.440 00:25:04.189 Uttam Kumaran: So, I don’t know, overall, like, I’m not involved here, so… the only thing I know is this morning we talked, he asked for something, it’s already 1 o’clock.

204 00:25:04.680 00:25:07.670 Uttam Kumaran: Three hours ago, he said, it’s a high priority.

205 00:25:08.450 00:25:10.700 Uttam Kumaran: You need to send something to him.

206 00:25:10.700 00:25:11.240 Mustafa Raja: Okay.

207 00:25:11.240 00:25:13.340 Uttam Kumaran: In that channel. I don’t know what it is.

208 00:25:14.160 00:25:33.179 Uttam Kumaran: my brain is everywhere, I really can’t help, I can’t assist, so you need to underst… go through and understand, like, what it is they’re looking for. He’s already sent you a lot of different analyses, so just talk directly with him, don’t wait, because if this doesn’t get out today, he… like, either me or him is gonna have to handle it later, so…

209 00:25:35.890 00:25:36.550 Mustafa Raja: Yeah.

210 00:25:50.180 00:25:57.479 Uttam Kumaran: And then, Amber, is there anything you want to discuss now, or should we… Like, wait till later?

211 00:25:58.030 00:26:08.109 Amber Lin: Probably later. Let me at least do the first draft default slides and add in the new stuff. I want to do a round review later today, and then…

212 00:26:08.220 00:26:14.059 Amber Lin: Like, I don’t have anything for review on its song yet. I still need to do the analysis.

213 00:26:15.150 00:26:20.280 Uttam Kumaran: Yeah, so the… I may actually hand off the Honey Stinger work to you, like, what is your…

214 00:26:20.940 00:26:25.150 Uttam Kumaran: Like, availability today, like, do you want to just, like, talk through that now?

215 00:26:26.170 00:26:33.439 Uttam Kumaran: Or, like, you wanna… like, I could… I talked to Robert a bit, and I’m just, like, not sure that…

216 00:26:33.730 00:26:40.809 Uttam Kumaran: It’s going to… End up out, because Henry is out, so…

217 00:26:41.170 00:26:41.580 Amber Lin: Okay.

218 00:26:41.580 00:26:44.530 Uttam Kumaran: I would like him… I would… I would like Henry to just…

219 00:26:45.510 00:26:48.500 Uttam Kumaran: You know, transition it over to you if possible.

220 00:26:48.870 00:26:52.190 Amber Lin: Yeah, is he… he’s out after today, right?

221 00:26:53.690 00:27:01.669 Amber Lin: Yeah, okay, I… have default work and that insomnia work. I don’t think either of those are…

222 00:27:01.850 00:27:10.859 Amber Lin: huge… super pressing, I do want to get default done for tomorrow’s meeting. I can push insomnia a day later, so I can get started on honeystering today.

223 00:27:11.420 00:27:17.960 Amber Lin: But it would… I would be fully booked if I… like, I… I can move the insomnia, so I can do Honey Stinger today.

224 00:27:19.210 00:27:24.049 Uttam Kumaran: Yeah, I don’t think we need to do any more on Insomnia stuff, like, let’s just wait there.

225 00:27:24.050 00:27:28.760 Amber Lin: I’ll see a follow-up. We don’t need decks today, this week, so it’s lighter stuff.

226 00:27:29.280 00:27:32.859 Amber Lin: Probably 2 hours this week.

227 00:27:33.150 00:27:47.039 Amber Lin: Okay, so I can do that. I have some context by seeing Robert go through the data. I’ve seen the data in Mother Duck. I am lacking context on where the current analysis is.

228 00:27:47.370 00:27:52.079 Uttam Kumaran: Yeah, take a look, take a look in the channel. Yeah, take a look in the channel.

229 00:27:52.490 00:27:57.240 Uttam Kumaran: So, there are tickets here on…

230 00:28:01.620 00:28:05.259 Uttam Kumaran: an understanding of the Amazon analytics.

231 00:28:07.280 00:28:13.039 Uttam Kumaran: Additionally… Henry has sent some looms here, but…

232 00:28:13.040 00:28:15.730 Amber Lin: Yeah, I think I’ll read some reviews stuff.

233 00:28:15.730 00:28:18.780 Uttam Kumaran: Yeah, there’s been some Walmart stuff added this morning.

234 00:28:20.170 00:28:23.370 Uttam Kumaran: And so…

235 00:28:24.640 00:28:31.150 Uttam Kumaran: Yeah, maybe if you can get to a good stopping point on default, I would honestly say this is a higher priority.

236 00:28:31.510 00:28:31.890 Amber Lin: Just…

237 00:28:31.890 00:28:37.829 Uttam Kumaran: because I feel like we’ve done well on default in Insomnia, and so even if we…

238 00:28:38.240 00:28:45.170 Uttam Kumaran: like, was there any urgent action items from default on things? Or, like, just, like, more follow-up?

239 00:28:45.170 00:28:51.079 Amber Lin: Of course, the things that you sent me. So those 3 things that you sent me. So, the deck. I have…

240 00:28:51.080 00:28:52.159 Uttam Kumaran: Oh, okay, then yeah.

241 00:28:52.160 00:28:52.650 Amber Lin: done.

242 00:28:52.650 00:28:56.429 Uttam Kumaran: then I would just, like, I would weigh on that stuff, and I would instead…

243 00:28:57.000 00:29:03.819 Uttam Kumaran: focus here, just because, like, we’ve already… we’ve sort of gone through two weeks, and we’ve… we’ve struggled to…

244 00:29:04.440 00:29:08.019 Uttam Kumaran: get something out, and I think it could use your brain.

245 00:29:08.420 00:29:26.580 Amber Lin: Yeah, I can do that. On default, probably need someone to polish up the slides, but if they don’t care as much, most of it is just previous ideas. And then, for the experimentation, you can… we can run it through ChatGPT and then give them the ideas, so…

246 00:29:26.710 00:29:33.190 Amber Lin: Like, we don’t need the slides. I know we wanted to share stuff, and this is a much better format to share, but we don’t need it.

247 00:29:36.020 00:29:39.980 Uttam Kumaran: Yeah, so you can take a look at… I’m just gonna kind of be on this meeting, kind of, like.

248 00:29:40.340 00:29:42.050 Uttam Kumaran: For the next few hours, so…

249 00:29:42.620 00:29:45.030 Uttam Kumaran: Cool. You can feel free to hop in and out and let me know.

250 00:29:45.500 00:29:54.239 Amber Lin: Yeah, I’ll go take a look at Henry’s stuff, and I’ll… I’ll send some things. Does he know he’s going to pause, or should I sync with him to get his more…

251 00:29:55.030 00:29:55.860 Amber Lin: Thanks.

252 00:29:56.980 00:29:59.760 Uttam Kumaran: Yeah, I mean, I’m gonna… I’m basically gonna…

253 00:30:03.260 00:30:06.550 Uttam Kumaran: I can send him a note. I mean, he’s in the other breakout room right now.

254 00:30:06.850 00:30:07.420 Amber Lin: Cool.

255 00:30:08.050 00:30:12.510 Amber Lin: Yeah, just send… just say, like, Mom.

256 00:30:12.720 00:30:13.510 Amber Lin: I’ll sync with.

257 00:30:13.510 00:30:14.339 Uttam Kumaran: I’ll send him a note.

258 00:30:14.340 00:30:17.440 Amber Lin: Or he… like, goes PTO.

259 00:30:17.440 00:30:18.220 Uttam Kumaran: Okay.

260 00:30:18.450 00:30:19.400 Amber Lin: Cool. Okay.

261 00:30:19.940 00:30:20.580 Amber Lin: Okay.

262 00:30:20.710 00:30:24.919 Amber Lin: I’ll hop, I’ll send messages in Slack, I need to go look at his video.

263 00:30:24.920 00:30:25.610 Uttam Kumaran: Okay.

264 00:30:25.940 00:30:26.670 Amber Lin: Cool, thanks.

265 00:30:26.670 00:30:27.590 Uttam Kumaran: Okay, thank you.

266 00:30:27.590 00:30:28.200 Amber Lin: Right?

267 00:30:28.990 00:30:29.790 Uttam Kumaran: Bye.

268 00:30:46.150 00:30:50.380 Uttam Kumaran: I’m just gonna share screen and work on stuff,

269 00:30:51.680 00:30:54.810 Uttam Kumaran: So, yeah, you guys can feel free to chill.

270 00:31:00.270 00:31:02.450 Uttam Kumaran: And let me know if you need any help, Mustafo.

271 00:31:04.350 00:31:05.020 Mustafa Raja: Yeah.

272 00:31:05.580 00:31:10.969 Mustafa Raja: I’m just verifying the, what do you call the charts, that we have.

273 00:41:28.580 00:41:30.080 Uttam Kumaran: Could I play some music?

274 00:41:34.620 00:41:37.999 Mustafa Raja: Do you ever listen to Hindi Urdu music?

275 00:41:39.150 00:41:40.959 Uttam Kumaran: No, I don’t, dude.

276 00:41:44.480 00:41:47.250 Mustafa Raja: I don’t… I have loved, loved that, actually.

277 00:41:48.270 00:41:50.709 Uttam Kumaran: I don’t even know what to even look for for that.

278 00:41:51.440 00:41:57.030 Mustafa Raja: So how often do you, go back, India?

279 00:41:58.120 00:41:59.810 Uttam Kumaran: Like, every few years?

280 00:42:00.140 00:42:02.169 Uttam Kumaran: I’ll come see you next time I go.

281 00:42:02.380 00:42:04.250 Mustafa Raja: Oh, you promise?

282 00:42:05.140 00:42:08.039 Uttam Kumaran: I swear, dude, I’ll come see you, yeah, don’t… don’t…

283 00:42:08.040 00:42:08.359 Mustafa Raja: Oh, yeah.

284 00:42:08.360 00:42:09.839 Uttam Kumaran: Dare me, I’ll be there.

285 00:42:09.840 00:42:11.670 Mustafa Raja: Oh, yeah, I dare you.

286 00:42:15.770 00:42:18.430 Mustafa Raja: You can see me and Avish also.

287 00:42:19.080 00:42:20.469 Uttam Kumaran: Yeah, no, I will.

288 00:42:31.510 00:42:32.180 Mustafa Raja: Hmm.

289 00:43:07.110 00:43:12.180 Mustafa Raja: Which city, which city, in India do you, do you go back to?

290 00:43:12.180 00:43:13.600 Uttam Kumaran: I go to Mother A.

291 00:43:14.600 00:43:15.790 Uttam Kumaran: Double nods.

292 00:43:15.960 00:43:17.280 Uttam Kumaran: All the way in the south.

293 00:43:18.950 00:43:20.590 Mustafa Raja: Oh, okay.

294 00:43:22.230 00:43:27.250 Mustafa Raja: My, my aunt is a big, big fan of South Indian movies.

295 00:43:28.110 00:43:30.310 Uttam Kumaran: Oh, really? Yeah, they’re big.

296 00:43:30.310 00:43:30.620 Mustafa Raja: as…

297 00:43:30.930 00:43:32.070 Uttam Kumaran: Movie place.

298 00:43:32.470 00:43:38.600 Mustafa Raja: Yeah, she has… she’s almost, like, watched almost every single one.

299 00:43:40.050 00:43:41.040 Uttam Kumaran: Really?

300 00:43:41.320 00:43:42.070 Mustafa Raja: Yeah, she’s big.

301 00:44:51.290 00:44:54.859 Uttam Kumaran: Here, I’ll play some… I’ll play some background music for us.

302 00:44:54.860 00:44:55.490 Mustafa Raja: Yeah.

303 00:44:58.660 00:45:01.119 Mustafa Raja: What’s, like, your favorite artist, though?

304 00:45:04.820 00:45:06.500 Uttam Kumaran: Favorite artists?

305 00:45:08.660 00:45:11.540 Uttam Kumaran: I don’t know, I have a lot of favorite artists.

306 00:45:13.450 00:45:16.659 Uttam Kumaran: But I like, some of this, like, electronic music.

307 00:45:18.480 00:45:19.310 Mustafa Raja: Mmm…

308 00:45:26.730 00:45:31.090 Uttam Kumaran: I’ll play, that’s something good.

309 00:45:45.270 00:45:46.100 Uttam Kumaran: Oh, yeah.

310 00:45:46.960 00:45:48.160 Uttam Kumaran: Hold on one second.

311 00:45:48.970 00:45:49.690 Mustafa Raja: Yay.

312 01:03:05.050 01:03:06.290 Uttam Kumaran: Okay, guys, I’m back.

313 01:03:16.000 01:03:17.239 Uttam Kumaran: Can you guys hear this music?

314 01:03:18.650 01:03:19.160 Mustafa Raja: Yes.

315 01:03:19.700 01:03:20.810 Rico Rejoso: Yep.

316 01:03:20.810 01:03:22.199 Uttam Kumaran: Is it too loud?

317 01:03:22.480 01:03:23.415 Mustafa Raja: No?

318 01:03:26.330 01:03:26.710 Uttam Kumaran: Okay.

319 01:08:01.260 01:08:02.260 Audio shared by Uttam Kumaran: Pimona!

320 01:09:30.670 01:09:31.340 Audio shared by Uttam Kumaran: How do you?

321 01:16:38.730 01:16:44.940 Mustafa Raja: I’ve added, my analysis in the thread

322 01:16:45.110 01:16:52.969 Mustafa Raja: So, I’m just wondering, if I can, go through it with you. I’ve tagged Robert, but seems like he’s on a flight or something.

323 01:16:54.080 01:16:56.830 Uttam Kumaran: Yeah, gimme, give me just 2 more minutes.

324 01:16:56.910 01:16:58.470 Mustafa Raja: Yeah, yeah. Just gonna… That works.

325 01:16:58.470 01:17:00.450 Uttam Kumaran: finish up one thing, I’m just pushing a key.

326 01:17:01.060 01:17:01.780 Audio shared by Uttam Kumaran: Yeah.

327 01:22:01.110 01:22:02.350 Uttam Kumaran: Okay, go ahead and stop that.

328 01:22:07.720 01:22:09.959 Mustafa Raja: Okay, I’m sharing.

329 01:22:11.320 01:22:19.919 Mustafa Raja: Okay, so… Let me also… So this is the document, the Notion document that,

330 01:22:20.160 01:22:24.169 Mustafa Raja: Which created, and this is pretty much, very good.

331 01:22:24.390 01:22:34.740 Mustafa Raja: So the task was to verify that this data does align with the data that is in, MongoDB.

332 01:22:34.970 01:22:39.900 Mustafa Raja: And, that is what Aviation did.

333 01:22:40.440 01:22:46.049 Mustafa Raja: And then, so what a waste did is he did it programmatically.

334 01:22:46.200 01:22:51.530 Mustafa Raja: He has this code that he, ran.

335 01:22:51.640 01:22:56.109 Mustafa Raja: the script, and then created this machine doc.

336 01:22:56.560 01:23:02.389 Mustafa Raja: And then what I did is I went in these individual,

337 01:23:02.720 01:23:15.870 Mustafa Raja: documents, and then, applied the filters to verify if the information is correct or not. And this is the thread where I’m posting all of this. So…

338 01:23:15.950 01:23:31.790 Mustafa Raja: for MongoDB says for the month September 2025, we have 8,918 signups, which aptitude is way off. Aptitude says we have 3,425.

339 01:23:32.320 01:23:48.790 Mustafa Raja: And I have attached the Explorer link, and also the filters that I used. Similar for, projects created, so Amplitude says that, okay, we created almost 1,800 one, but…

340 01:23:49.280 01:23:52.050 Mustafa Raja: Mongodb says nope.

341 01:23:52.190 01:23:54.440 Mustafa Raja: We did 2,400.

342 01:23:54.600 01:24:03.749 Mustafa Raja: And then, attempted launch, I think this is a flag somewhere in the project document. I couldn’t find it.

343 01:24:03.940 01:24:07.660 Mustafa Raja: I can… Actually, here I am…

344 01:24:10.380 01:24:18.880 Mustafa Raja: I think this could be it. I guess I can, take a look at that later, this attempted launch flag, and then also subs…

345 01:24:19.550 01:24:36.700 Mustafa Raja: And then for subscriptions, Amtitude says that we have 10 subscriptions for, sep… Actually 11 subscriptions for September, and then, MongoDB data says, it’s actually 72.

346 01:24:37.160 01:24:37.580 Uttam Kumaran: Okay.

347 01:24:37.580 01:24:48.109 Mustafa Raja: So, the… what’s it called? The plans are attached over here, so, what…

348 01:24:48.540 01:25:03.280 Mustafa Raja: If they’re not on subscription, it would be, free, so, yeah, we’ll just, say not in free, so, that pretty much does, does our thing. And they have a Stripe link also.

349 01:25:03.580 01:25:08.329 Mustafa Raja: So… so yeah, that is pretty much it. I’ve also tagged Robert.

350 01:25:08.450 01:25:12.790 Mustafa Raja: Yeah, let me know, let me know your thoughts on this.

351 01:25:14.420 01:25:17.779 Uttam Kumaran: No, I think this looks great. I think…

352 01:25:17.780 01:25:23.740 Mustafa Raja: And this actually also verifies what, Awish is also saying here.

353 01:25:24.580 01:25:25.580 Mustafa Raja: Yeah.

354 01:25:28.100 01:25:32.729 Uttam Kumaran: Do you think if Robert looks at this, it’ll be clear enough, or you want to put it into Notion, basically?

355 01:25:32.730 01:25:51.629 Mustafa Raja: Yes, so Robert was having confusion. I think, it was because, he was having confusions because, he was having difficulties navigating in Mongo. I’m not sure, though. So what I have done here is I have added the links.

356 01:25:53.200 01:25:59.250 Mustafa Raja: And the filters, so if he wants to double-check it, and I’ve also added the…

357 01:26:01.300 01:26:07.400 Mustafa Raja: you know, results here. So this… this is the filter that I ran, and this is the amount of results that I’ve

358 01:26:07.630 01:26:08.650 Mustafa Raja: cotton…

359 01:26:08.980 01:26:17.330 Mustafa Raja: I guess I can, I can, put, put it in, in a Notion document, if, if that, if that, would feel good.

360 01:26:17.330 01:26:22.529 Uttam Kumaran: Yes, that would be great. And then, yeah, I feel like this is enough to at least send it over to him.

361 01:26:23.150 01:26:26.459 Mustafa Raja: Yeah, I’ve sent it, I’ve tagged… tagged him.

362 01:26:26.790 01:26:29.810 Mustafa Raja: But he seems to be on a flight, so… yeah.

363 01:26:29.810 01:26:32.430 Uttam Kumaran: If you… no, if you can get into Notion, and then, yeah, he’ll…

364 01:26:32.430 01:26:32.900 Mustafa Raja: Oh, yeah.

365 01:26:32.900 01:26:33.690 Uttam Kumaran: Tony’s on.

366 01:26:34.430 01:26:37.359 Mustafa Raja: Yeah, yeah, yeah, I’ll do that now. Thank you.

367 01:26:38.740 01:26:39.690 Uttam Kumaran: Okay, perfect.

368 01:26:41.280 01:26:51.499 Mustafa Raja: Yeah, after this, I’ll be… I’ll be looking into the dbt stuff. I… I saw that, you’re suggesting me that I should, pair up with Ashwini.

369 01:26:51.820 01:26:59.340 Mustafa Raja: Yes. And, taking his advice on, on stuff, and I will be doing that.

370 01:26:59.640 01:27:08.039 Mustafa Raja: Once I read the dbt doc that you sent over, I… Perfect. It’s very good, I want to read that.

371 01:27:08.830 01:27:09.710 Uttam Kumaran: Okay, okay.

372 01:27:10.070 01:27:12.419 Mustafa Raja: Yeah, I’ll then catch up with him. Thank you.

373 01:27:12.630 01:27:13.290 Uttam Kumaran: Okay.

374 01:31:51.140 01:31:52.779 Uttam Kumaran: Okay, I’m gonna jump.

375 01:31:55.900 01:31:57.900 Uttam Kumaran: Rico, we can jump to a finance meeting.

376 01:32:00.740 01:32:01.500 Mustafa Raja: Okay.

377 01:32:02.370 01:32:03.150 Uttam Kumaran: Okay.

378 01:32:03.270 01:32:09.399 Uttam Kumaran: I’m going to… well, I know they’re meeting in the other meeting, I guess I can…

379 01:32:12.530 01:32:16.019 Uttam Kumaran: I guess, Rico, maybe you can…

380 01:32:16.380 01:32:19.579 Uttam Kumaran: Bring them here and make them host? I don’t know.

381 01:32:21.530 01:32:27.040 Uttam Kumaran: I’ll let you… yeah, maybe you can have them come back here, and then you can make them host, but I’ll jump to finance.

382 01:32:27.260 01:32:28.840 Rico Rejoso: Okay, okay. I’ll follow up after that.

383 01:32:32.540 01:32:34.679 Mustafa Raja: Okay, bye.

384 01:32:37.220 01:32:38.620 Rico Rejoso: Do you need the same stepper?

385 01:32:39.050 01:32:39.930 Rico Rejoso: Very good.

386 01:32:41.270 01:32:46.680 Mustafa Raja: Yeah, is this still the working session meeting, or is someone else coming?

387 01:32:47.600 01:32:53.690 Rico Rejoso: I’m gonna bring in, the other… I mean, the team on the broad, on the broadcast room.

388 01:32:53.870 01:32:54.779 Rico Rejoso: They could do it here.