Meeting Title: Eden | Standup Date: 2025-08-12 Meeting participants: Amber Lin, Demilade Agboola, Annie Yu, Vashdev Heerani, Henry Zhao, Awaish Kumar


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1 00:00:31.740 00:00:33.010 Amber Lin: Hello!

2 00:00:35.260 00:00:36.660 Demilade Agboola: Hi, Amber, how are you?

3 00:00:37.330 00:00:43.389 Amber Lin: I’m good. I’m not used to not having a Urban Stem stand-up earlier.

4 00:00:45.120 00:00:51.760 Demilade Agboola: Little wins, little wins, you know? You could get another, like, 15, 30 minutes of sleep, you know?

5 00:00:51.760 00:00:52.720 Amber Lin: Huh.

6 00:00:52.720 00:01:00.210 Demilade Agboola: No, I was up, I had to get up for another client, so I was… I wanted to sleep, I couldn’t.

7 00:01:01.950 00:01:05.960 Demilade Agboola: Well, I hoped you would have, but unfortunately, I guess not.

8 00:01:08.370 00:01:12.360 Amber Lin: … Let’s see… Okay.

9 00:01:12.630 00:01:15.880 Amber Lin: Oh, other people are not here. Oh, there we are.

10 00:01:16.200 00:01:17.440 Amber Lin: Hi, Annie.

11 00:01:18.310 00:01:19.250 Annie Yu: Hello.

12 00:01:21.070 00:01:26.939 Amber Lin: … Let’s get started, and then people can trickle in.

13 00:01:27.910 00:01:28.430 Amber Lin: Here.

14 00:01:37.500 00:01:41.669 Amber Lin: … Skip the top part.

15 00:01:42.930 00:01:48.880 Amber Lin: And… oh, Vasha, do you know if this ticket can be closed?

16 00:01:57.670 00:01:58.440 Amber Lin: The chef?

17 00:01:58.440 00:01:59.600 Vashdev Heerani: Nope, nope, yeah.

18 00:02:00.670 00:02:01.900 Amber Lin: This is done.

19 00:02:01.900 00:02:06.210 Vashdev Heerani: So, and, not, not yet. It’s not, ….

20 00:02:08.400 00:02:12.470 Amber Lin: Okay, let’s look at… let’s skip that.

21 00:02:12.830 00:02:17.719 Amber Lin: … And you were talking with Robert later.

22 00:02:17.960 00:02:20.610 Amber Lin: I’m gonna start for Rebecca and Tani.

23 00:02:20.920 00:02:26.139 Amber Lin: … I sent this for review by Josh, …

24 00:02:26.250 00:02:34.290 Amber Lin: So we got two things, which one is about the pending item that we expected, and then the other one is that

25 00:02:34.360 00:02:54.029 Amber Lin: There’s NALV pharmacies currently in the dashboard, and they… those need to be replaced by actual pharmacies. Annie told me that might be a BASC issue. Would you mind asking the BASC people if they can help us or provide those type of data in…

26 00:02:54.220 00:03:00.600 Amber Lin: … If they don’t respond, or if they don’t help, we can escalate to Josh.

27 00:03:02.150 00:03:16.339 Demilade Agboola: Oh, yeah, that’s fine. Yeah, the non-pharmacies tend to come from task, but I’ll poke around and see if there’s any other way in which we can, potentially filter data. If not, then yeah, I’ll just hand over to Bowie.

28 00:03:16.580 00:03:18.650 Amber Lin: Okay, sounds good.

29 00:03:20.240 00:03:27.519 Annie Yu: And one quick thing, Amber, I’m looking at the calendar, I think you scheduled that for tomorrow, actually.

30 00:03:27.550 00:03:28.620 Amber Lin: Oh, what?

31 00:03:28.620 00:03:30.199 Annie Yu: The one with Robert.

32 00:03:31.850 00:03:41.810 Amber Lin: Well, if it’s for tomorrow, then Robert probably moved it, because it’s not… Oh.

33 00:03:42.680 00:03:44.660 Amber Lin: Oh, no. Okay.

34 00:03:44.830 00:03:45.980 Amber Lin: My bad.

35 00:03:46.350 00:03:47.820 Amber Lin: I’m gonna scoot it.

36 00:03:50.050 00:03:56.910 Annie Yu: But… yeah, looks like I have a meeting night to 10… Yeah.

37 00:03:56.910 00:04:02.689 Amber Lin: C… … I’m gonna put it there.

38 00:04:16.690 00:04:22.100 Amber Lin: Put it there, I’ll let you… Gonna transfer…

39 00:04:31.970 00:04:35.129 Amber Lin: So I have another meeting then, so I won’t have the meeting room.

40 00:04:35.490 00:04:40.389 Amber Lin: Thanks for bringing that up, that was important. We have…

41 00:04:40.490 00:04:57.399 Amber Lin: I’ve added in the next part for this, so this is the fulfillment forecasting, so I think it’s these four charts. I’ve asked AI to give the fields needed. Are we able to get started on this?

42 00:04:59.310 00:05:01.290 Annie Yu: Hmm, I haven’t even looked at this.

43 00:05:01.620 00:05:02.070 Amber Lin: Okay.

44 00:05:02.070 00:05:03.980 Annie Yu: I’m not so sure.

45 00:05:04.170 00:05:09.850 Amber Lin: Okay, can you take a look and let us know whatever modeling needs there are?

46 00:05:10.040 00:05:10.830 Annie Yu: Okay.

47 00:05:10.830 00:05:11.530 Amber Lin: Okay.

48 00:05:11.720 00:05:14.360 Amber Lin: I put this as high, because it’s from Josh.

49 00:05:15.980 00:05:22.279 Amber Lin: I’m waiting on Josh for the product suits, then… okay.

50 00:05:23.510 00:05:31.699 Amber Lin: Next project is the… the dashboard. Can this be…

51 00:05:31.940 00:05:37.390 Amber Lin: Closed? Okay. Is there any other changes we need?

52 00:05:38.580 00:05:42.400 Annie Yu: I brought up two other issues with Vashdev.

53 00:05:42.400 00:05:45.380 Amber Lin: Yesterday, I’m not sure, ….

54 00:05:45.380 00:05:46.349 Annie Yu: That’s unfortunate enough.

55 00:05:46.350 00:05:47.189 Amber Lin: That’s 4 days ago.

56 00:05:47.980 00:05:58.790 Vashdev Heerani: Okay, can we open another ticket? So, technically, the requirement for this ticket is complete, so we have to create another ticket for description.

57 00:05:58.970 00:06:02.530 Amber Lin: Okay, yeah, tell me what the… what are the requirements?

58 00:06:03.240 00:06:06.440 Annie Yu: The numbers are not matching the….

59 00:06:06.920 00:06:11.270 Amber Lin: Okay, so I’m gonna say Jonah, …

60 00:06:16.550 00:06:19.830 Amber Lin: Not matching what? What’s not matching?

61 00:06:20.720 00:06:33.130 Annie Yu: I validated the model against the pre-existing cohort revenue retention summary, and the Asspend don’t aggregate.

62 00:06:34.690 00:06:36.819 Annie Yu: The same, for some reason.

63 00:06:36.820 00:06:39.519 Amber Lin: Okay. I think there’s another thing.

64 00:06:39.550 00:06:43.180 Annie Yu: Which I can’t recall off the top of my head, but it’s in a thread.

65 00:06:49.440 00:06:50.300 Amber Lin: Okay.

66 00:06:51.730 00:06:54.629 Amber Lin: So, number one, number two.

67 00:06:54.760 00:06:56.890 Amber Lin: I’m gonna put a placeholder there.

68 00:06:57.340 00:07:01.360 Amber Lin: Okay, and Vasha, if there’s enough requirements for you to do that ticket?

69 00:07:03.690 00:07:04.930 Vashdev Heerani: Yes, yes.

70 00:07:04.930 00:07:13.859 Amber Lin: Okay, awesome. If you can, can you add requirements to that, that ticket we just created? Because I don’t know where the….

71 00:07:14.380 00:07:15.450 Vashdev Heerani: Okay, sure, sure.

72 00:07:15.450 00:07:16.640 Amber Lin: Okay, awesome.

73 00:07:16.840 00:07:23.319 Amber Lin: And then… So, I assume this is blocked until further adjustment is made.

74 00:07:24.070 00:07:28.619 Annie Yu: Yeah, the visions aren’t there, but the numbers are not.

75 00:07:28.910 00:07:30.160 Annie Yu: Gotcha. Right, right.

76 00:07:31.000 00:07:36.229 Amber Lin: Mmm… Oh, where is a wish? I need a wish.

77 00:07:36.860 00:07:40.380 Amber Lin: … It’s a waste of meeting.

78 00:07:44.370 00:07:45.490 Amber Lin: Okay.

79 00:07:45.910 00:07:47.000 Amber Lin: Okay.

80 00:07:47.660 00:07:48.750 Amber Lin: That’s fine.

81 00:07:49.250 00:07:55.219 Amber Lin: … This was from a while back. Did we ever fix this?

82 00:08:00.790 00:08:02.600 Demilade Agboola: Can I see the top of the ticket?

83 00:08:02.600 00:08:03.160 Amber Lin: Yeah.

84 00:08:13.440 00:08:15.550 Demilade Agboola: No, I’m not sure we fixed it.

85 00:08:21.240 00:08:25.620 Demilade Agboola: No. I could look at it today while looking at also the….

86 00:08:25.790 00:08:26.670 Amber Lin: Okay.

87 00:08:27.470 00:08:28.489 Demilade Agboola: What’s it called?

88 00:08:30.750 00:08:32.250 Demilade Agboola: the… Hmm.

89 00:08:32.250 00:08:33.900 Amber Lin: the other Josh requests.

90 00:08:33.909 00:08:35.899 Demilade Agboola: Okay, cool, thank you.

91 00:08:35.960 00:08:43.960 Amber Lin: Yeah, because if Josh raised this, let’s prioritize it, because he will come back again, and if he comes back again, he will be unhappy.

92 00:08:44.370 00:08:50.249 Amber Lin: Oh, okay. Yeah, I will ask Awayish about his tickets.

93 00:08:50.710 00:08:51.590 Amber Lin: Okay.

94 00:08:52.420 00:08:58.620 Amber Lin: … skipping that color, that’s blocked affiliate, it needs to…

95 00:08:59.140 00:09:04.320 Amber Lin: Ash, are you working with Awash on the affiliate, connecting to API stuff?

96 00:09:07.770 00:09:15.340 Vashdev Heerani: So, I need more context regarding this ticket, … I haven’t started that yet.

97 00:09:16.000 00:09:16.620 Amber Lin: Huh?

98 00:09:17.520 00:09:19.610 Amber Lin: Oh, that’s okay. …

99 00:09:19.750 00:09:25.840 Amber Lin: we still need to connect to the API, so, I think a witch is gonna do that.

100 00:09:25.980 00:09:27.650 Amber Lin: I’m gonna move back.

101 00:09:33.760 00:09:34.750 Amber Lin: Okay.

102 00:09:43.030 00:09:44.230 Amber Lin: Boom.

103 00:09:45.240 00:09:46.559 Amber Lin: It’s a new one.

104 00:09:47.080 00:09:54.419 Amber Lin: Oh, Annie, this is for you. This is from a request from Mitesh, so I do think this is… I would put it as high priority.

105 00:09:54.570 00:09:58.999 Amber Lin: … This is his request.

106 00:10:00.860 00:10:06.329 Annie Yu: Yeah, the total metrics can happen, but not the first one.

107 00:10:06.740 00:10:07.160 Amber Lin: Hmm.

108 00:10:07.160 00:10:11.770 Annie Yu: So… In this model, we currently don’t have any channel-level view.

109 00:10:11.770 00:10:12.380 Amber Lin: nacho.

110 00:10:12.380 00:10:13.180 Annie Yu: So this is….

111 00:10:14.670 00:10:17.690 Amber Lin: Yeah, let me make a… make a ticket.

112 00:10:32.310 00:10:36.770 Annie Yu: But yeah, for the rest of the part, that’s something I can do.

113 00:10:36.770 00:10:39.109 Amber Lin: Okay, let me say this is blocked.

114 00:10:39.590 00:10:40.390 Amber Lin: Okay.

115 00:10:41.220 00:10:42.010 Amber Lin: Excellent.

116 00:10:45.520 00:10:49.460 Amber Lin: Okay, I’m gonna put it on you and say it’s blocked.

117 00:10:49.660 00:10:51.510 Amber Lin: So don’t worry about it yet.

118 00:10:52.210 00:10:53.869 Amber Lin: And burn…

119 00:10:59.800 00:11:00.790 Amber Lin: …

120 00:11:01.350 00:11:10.039 Amber Lin: Cutter was here yesterday, I think this was the… is this the same… this is not the same dashboard as the previous one, right?

121 00:11:10.270 00:11:17.290 Annie Yu: Yeah, it looks like a different one. I actually combined them already, so I just haven’t sent any note.

122 00:11:17.650 00:11:22.720 Amber Lin: Oh, okay, so let’s… you mean these three?

123 00:11:22.720 00:11:25.590 Annie Yu: Yeah, for this… for Josh dashboard.

124 00:11:27.920 00:11:29.509 Amber Lin: Or if we’re Josh’s dashboard?

125 00:11:29.510 00:11:37.639 Annie Yu: But yeah, I got this dashboard is called, I think, Product Revenue… snapshot dashboard for Josh.

126 00:11:37.930 00:11:46.229 Amber Lin: Oh, that’s so funny. Okay. So let’s… we’ll just send a… I’ll send a message.

127 00:11:47.460 00:11:49.410 Amber Lin: Send a message.

128 00:11:49.660 00:11:50.400 Amber Lin: Okay.

129 00:11:51.150 00:11:52.280 Amber Lin: That’s awesome.

130 00:11:52.530 00:11:54.040 Amber Lin: And…

131 00:11:57.530 00:11:59.830 Amber Lin: I think this one…

132 00:12:03.220 00:12:16.560 Amber Lin: Exclude affiliates’ emails for new sales, to have an option to include and exclude them. That sounds like a modeling task.

133 00:12:21.500 00:12:22.150 Demilade Agboola: Oh.

134 00:12:22.150 00:12:23.090 Amber Lin: Yeah, cool.

135 00:12:23.240 00:12:24.390 Amber Lin: What do you think?

136 00:12:27.740 00:12:34.800 Demilade Agboola: Have we… the affiliate channels… and emails…

137 00:12:36.030 00:12:38.740 Demilade Agboola: Isn’t this, like, tied to the affiliate spend?

138 00:12:40.000 00:12:45.979 Amber Lin: I think this is… I think just affiliates in general, …

139 00:12:46.430 00:12:51.710 Amber Lin: I think he more meant as an aggregate, can I just exclude the….

140 00:12:52.440 00:12:53.659 Demilade Agboola: Of which….

141 00:12:54.020 00:12:57.230 Amber Lin: Probably doesn’t require us to

142 00:12:57.340 00:13:03.729 Amber Lin: attribute it by channel. Like, once we have it by channel, we can add it, but I think he just wants to…

143 00:13:04.060 00:13:08.060 Amber Lin: … Help the overall numbers.

144 00:13:10.390 00:13:11.010 Demilade Agboola: Do we….

145 00:13:11.010 00:13:15.560 Amber Lin: Spends just tagged as affiliate, and not by channel.

146 00:13:16.450 00:13:19.810 Demilade Agboola: I mean, we… we have it by…

147 00:13:21.730 00:13:26.910 Demilade Agboola: So, we have, like, the affiliate… we have ad spend by campaigns, …

148 00:13:27.460 00:13:37.680 Demilade Agboola: We have it by the… but we… I’m not necessarily sure if we do, like, email campaigns, or if it’s just, like, social media campaigns, so we might need to make it more granular than it already is.

149 00:13:37.680 00:13:38.210 Amber Lin: Hmm.

150 00:13:38.210 00:13:44.450 Demilade Agboola: … Yeah, so this… yeah, I would have to look into this, to be honest.

151 00:13:45.310 00:13:49.970 Amber Lin: Okay, so I’ll put… ….

152 00:13:50.850 00:13:55.140 Demilade Agboola: But what’s my priority? Because there are a number of quote-unquote high-priority things, so I need.

153 00:13:55.140 00:14:02.809 Amber Lin: Yeah, there’s a lot of, items coming from… Oh, that was…

154 00:14:03.040 00:14:18.349 Amber Lin: That was last cycle. This is from Josh, too. So, whatever’s from Josh, I’ve learned to put it as high priority. I just want to make you aware first, and then let’s look at per person.

155 00:14:18.680 00:14:25.100 Amber Lin: right after we go through things, and then we’ll… we’ll see where things are like, but maybe a spike?

156 00:14:25.510 00:14:30.049 Amber Lin: I can change this to a spike, and then you can let us know what it’s like.

157 00:14:31.230 00:14:31.929 Demilade Agboola: Oh, okay.

158 00:14:31.930 00:14:32.880 Amber Lin: time today.

159 00:14:33.820 00:14:50.029 Amber Lin: So I’ll do a spike… … Okay, discrepancy… Annie, is there anything…

160 00:14:50.130 00:14:53.070 Amber Lin: Here, that’s waiting to be closed or reviewed.

161 00:14:53.530 00:14:58.389 Annie Yu: Okay. Robert had some feedback, and this actually…

162 00:14:58.670 00:15:05.829 Annie Yu: So, both this one and that other… for Josh’s dashboard.

163 00:15:06.510 00:15:15.350 Annie Yu: Choir… … Adding channel view into product sales summary by transaction.

164 00:15:18.400 00:15:19.210 Amber Lin: Huh?

165 00:15:19.890 00:15:26.829 Annie Yu: Like, this model doesn’t have any channel view, so it’s the same issue as the last, for Josh thing.

166 00:15:27.010 00:15:30.359 Annie Yu: And it looks like Robert wants to…

167 00:15:30.770 00:15:34.410 Annie Yu: At channel level into this model.

168 00:15:34.410 00:15:35.400 Amber Lin: Wait, does he?

169 00:15:36.170 00:15:39.449 Annie Yu: Yeah, that… see that first? That’s from him.

170 00:15:40.660 00:15:41.730 Amber Lin: so much products.

171 00:15:41.730 00:15:43.759 Annie Yu: help summary by transaction.

172 00:15:49.790 00:15:55.360 Annie Yu: So for… to get this done, we have to have channel-level information in that model.

173 00:15:55.580 00:16:03.460 Amber Lin: Okay, okay, I see. The channel’s gonna take a while, is there a way to put a placeholder, or should I tell them this is.

174 00:16:03.460 00:16:13.040 Annie Yu: Yeah, I think… For what we have now, it’s ready. I’m not sure if we should wait, or… …

175 00:16:13.210 00:16:14.580 Annie Yu: We should share.

176 00:16:14.710 00:16:16.420 Annie Yu: I don’t think he gave….

177 00:16:17.380 00:16:26.030 Amber Lin: There’s 3 lines of requests from Robert, so you said the first one’s not doable, but the bottom two?

178 00:16:26.030 00:16:32.640 Annie Yu: The second one is kind of fixed, … Yeah, the second one is…

179 00:16:34.220 00:16:40.620 Annie Yu: I think the second one is sort of fixed, because I eventually got the pharmacy field from another

180 00:16:40.960 00:16:43.800 Annie Yu: Table that join with this.

181 00:16:45.200 00:16:57.439 Annie Yu: And the overhead table, I don’t know what he means by leave blank, but make the table exportable for Jonah. We don’t have this data at all in our system.

182 00:16:57.440 00:17:05.499 Amber Lin: Yeah, I think just to… Like, do we have people’s names? What is.

183 00:17:05.500 00:17:07.589 Annie Yu: Not that I know of.

184 00:17:08.440 00:17:09.310 Amber Lin: Okay.

185 00:17:10.079 00:17:22.220 Amber Lin: Okay, so… I’m gonna put it into 3 tickets, and let’s go… clarify with… Ugh.

186 00:17:22.220 00:17:25.870 Annie Yu: I would say this pharmacy thing is fixed.

187 00:17:26.200 00:17:28.259 Amber Lin: Okay, okay, sounds good.

188 00:18:05.200 00:18:08.959 Amber Lin: So… I’m gonna close this one.

189 00:18:12.190 00:18:19.070 Annie Yu: Yeah, but I don’t think he’s ever shared that dashboard with Jonah, and I don’t know if we…

190 00:18:19.190 00:18:27.579 Annie Yu: are trying to share that before everything, or not? Because I think there are… They’re ready for now.

191 00:18:27.580 00:18:42.540 Amber Lin: It sounds like I’m owning communications with Jonah this school, which, let’s clarify on these two, and then if there’s nothing that we can do on those two, let’s share…

192 00:18:42.730 00:18:45.239 Amber Lin: Let’s go share that.

193 00:18:46.830 00:18:47.530 Amber Lin: Okay.

194 00:18:48.560 00:18:49.320 Amber Lin: Huh.

195 00:18:49.550 00:18:50.560 Amber Lin: Here.

196 00:18:51.120 00:18:53.630 Amber Lin: Okay, anything else?

197 00:19:04.840 00:19:05.610 Amber Lin: Oh.

198 00:19:06.720 00:19:08.590 Amber Lin: Oh gosh, we’re out of time.

199 00:19:09.000 00:19:13.669 Amber Lin: … Is this still a ticket that we’re investigating?

200 00:19:17.640 00:19:19.290 Demilade Agboola: Yes…

201 00:19:19.620 00:19:24.640 Demilade Agboola: I still haven’t figured out why. To be fair, I haven’t looked at this in a minute, because…

202 00:19:24.800 00:19:27.709 Demilade Agboola: Other things have kind of come up.

203 00:19:27.980 00:19:30.720 Demilade Agboola: But, yeah, the value still keeps…

204 00:19:31.280 00:19:36.610 Demilade Agboola: seem to keep changing. I’ll need to look at Annie’s dashboard to compare and see… That.

205 00:19:38.670 00:19:53.050 Demilade Agboola: But the basic idea is just figuring out, like, why those numbers are changing, and why the, … actually, I know the numbers are changing because of the new customer accounts keeps changing, and it’s to figure out, like, why that new customer account keeps changing in retrospect.

206 00:19:53.500 00:19:54.430 Amber Lin: Okay.

207 00:20:01.800 00:20:08.640 Amber Lin: That sounds like… this… Task from Josh.

208 00:20:09.000 00:20:11.419 Demilade Agboola: Yeah, it’s… yeah, it’s related.

209 00:20:11.550 00:20:17.730 Amber Lin: Yeah, okay, so I’m going to… Move fast…

210 00:20:25.670 00:20:27.680 Amber Lin: I’m a little bit there.

211 00:20:28.530 00:20:29.490 Amber Lin: Okay.

212 00:20:31.120 00:20:36.480 Amber Lin: I mean, last thing… Is the request from…

213 00:20:37.010 00:20:46.600 Amber Lin: request for Urano. So it looks like Delano has completed the modeling, so the rest would be for…

214 00:20:47.210 00:20:53.099 Amber Lin: Can you… have you had a chance to look at the… the model that….

215 00:20:53.870 00:20:54.849 Annie Yu: They look good.

216 00:20:54.850 00:20:58.249 Amber Lin: Okay, awesome. So I will close that.

217 00:21:00.400 00:21:05.100 Amber Lin: And… I will sort this by…

218 00:21:05.670 00:21:16.920 Amber Lin: person, and we have a lot of stuff per person. Okay, Annie, oh gosh, … Okay, and review…

219 00:21:17.110 00:21:18.430 Amber Lin: I review.

220 00:21:18.850 00:21:20.030 Amber Lin: Blocked.

221 00:21:20.650 00:21:21.820 Amber Lin: blocked.

222 00:21:23.980 00:21:26.900 Amber Lin: That one’s also blogs.

223 00:21:27.550 00:21:34.829 Amber Lin: So… These are the… these three tasks.

224 00:21:34.940 00:21:36.740 Amber Lin: Are the main focus.

225 00:21:40.060 00:21:45.150 Annie Yu: Okay, should I prioritize, 658 or 667?

226 00:21:46.490 00:21:47.260 Annie Yu: Patricia.

227 00:21:47.260 00:21:49.550 Amber Lin: Do you prioritize 585.

228 00:21:49.550 00:21:51.700 Annie Yu: Yeah, like, between those two….

229 00:21:51.700 00:21:55.390 Amber Lin: And between those two, let’s do…

230 00:21:55.820 00:22:05.009 Amber Lin: Let’s do it for Josh, because I think we can tell Josh… we can tell Mitesh I’m doing something for Josh, but I don’t think we can tell Josh we’re doing something for Mitesh.

231 00:22:05.010 00:22:05.710 Annie Yu: Okay.

232 00:22:06.410 00:22:11.270 Annie Yu: Yeah, I imagine this one will take me some time to understand, too, so….

233 00:22:11.270 00:22:12.510 Amber Lin: This one?

234 00:22:12.510 00:22:13.230 Annie Yu: Yep.

235 00:22:13.230 00:22:20.669 Amber Lin: I see. Actually, can you let me know after you do the initial spike to figure out what’s up with that one?

236 00:22:20.670 00:22:21.400 Annie Yu: Huh.

237 00:22:21.400 00:22:26.780 Amber Lin: Okay, yeah, let me know, because you might be blocked on modeling, and if so, we can do the other one.

238 00:22:26.780 00:22:27.340 Annie Yu: Okay.

239 00:22:27.340 00:22:28.410 Amber Lin: Alright.

240 00:22:28.840 00:22:43.830 Amber Lin: Let me just… Coffee… Guys, okay. And then… oh, that’s a wish. And then for Demolade’s task… …

241 00:22:44.540 00:22:49.920 Amber Lin: Okay, very valid, there’s a lot. I think these two are the same.

242 00:22:51.430 00:22:52.890 Amber Lin: …

243 00:22:54.810 00:23:01.789 Amber Lin: It’s related to NCAC. Did Zach ever get back to us on what you were requesting, though, from them?

244 00:23:02.420 00:23:06.410 Demilade Agboola: No, Zach doesn’t get back. Like, I give him…

245 00:23:06.520 00:23:15.220 Demilade Agboola: Like, even the, regular stuff about, like, the new products that I requested every week, that doesn’t respond, so… you know.

246 00:23:15.220 00:23:16.720 Amber Lin: Funny. Okay.

247 00:23:17.200 00:23:29.020 Amber Lin: I see, okay. I’m still waiting on a way to help me create the COGS tickets, and then once I know what to ask for, I’ll ask to be added to the channel, and I’ll ping them.

248 00:23:29.210 00:23:30.660 Amber Lin: Nonstop.

249 00:23:30.910 00:23:36.760 Amber Lin: Okay, so we have… These, let’s prioritize them.

250 00:23:37.310 00:23:40.429 Amber Lin: Okay, those two are in progress.

251 00:23:40.810 00:23:45.180 Amber Lin: Think this is… 10K discrepancy.

252 00:23:45.850 00:23:48.049 Amber Lin: That’s the spike. Okay.

253 00:23:48.460 00:23:52.180 Amber Lin: … We have a lot of spikes, it seems.

254 00:23:52.180 00:24:04.219 Demilade Agboola: Yeah, that’s why, that’s why I said that everything seems to be, like, high priority, which is kind of my problem with my tickets, generally. Everything is important, so I have to move some important things to less important status.

255 00:24:04.220 00:24:09.199 Amber Lin: Yeah, that’s got… gotcha. Let’s put… that’s a spike.

256 00:24:09.810 00:24:11.750 Amber Lin: That’s a spike.

257 00:24:12.100 00:24:19.540 Amber Lin: Okay, I’m gonna say… I’m gonna turn this into high.

258 00:24:19.790 00:24:21.449 Amber Lin: That’s urgent.

259 00:24:21.670 00:24:28.820 Amber Lin: That’s from Robert yesterday. I think that’s a pretty big number. And then…

260 00:24:36.050 00:24:39.090 Amber Lin: Between, let’s say, between…

261 00:24:39.720 00:24:45.740 Amber Lin: This, and this. Which one will take more time, and which one should be more important?

262 00:24:48.290 00:24:49.980 Demilade Agboola: … Hmm…

263 00:24:50.190 00:24:56.709 Demilade Agboola: I’m not sure… I’m not sure about which will take more time, but since they’re similar, like, data sources.

264 00:24:57.070 00:24:59.390 Demilade Agboola: It would kind of be similar.

265 00:24:59.710 00:25:03.270 Demilade Agboola: I will say that you can…

266 00:25:04.330 00:25:09.759 Demilade Agboola: And they’re for the same dashboard, so I don’t think there’s anyone that is more important in that sense.

267 00:25:09.760 00:25:11.820 Amber Lin: Okay, I’ll com… I can combine them.

268 00:25:14.450 00:25:15.410 Amber Lin: Should I?

269 00:25:15.720 00:25:16.480 Demilade Agboola: Yeah, sure.

270 00:25:16.680 00:25:17.350 Amber Lin: Okay.

271 00:25:28.100 00:25:29.270 Amber Lin: Alright.

272 00:25:36.750 00:25:40.180 Amber Lin: I’m gonna move this… 2…

273 00:25:40.880 00:25:47.909 Amber Lin: Down here, put that to low. We’ll do it closer to the end of the sprint. I’m gonna delete.

274 00:25:48.170 00:25:49.449 Amber Lin: Due date.

275 00:25:50.510 00:25:51.790 Amber Lin: …

276 00:25:54.790 00:26:00.879 Amber Lin: Oh… I think we need to spike on this, and then…

277 00:26:01.820 00:26:05.079 Amber Lin: Do… do the actual work later.

278 00:26:05.780 00:26:10.120 Amber Lin: So, are these two for the same dashboard?

279 00:26:11.910 00:26:19.329 Demilade Agboola: Yeah, and just general business, like, numbers, because marketing just needs to know what their NCAC looks like.

280 00:26:20.570 00:26:23.140 Amber Lin: Okay, okay. …

281 00:26:43.340 00:26:44.380 Amber Lin: That’s…

282 00:26:49.220 00:27:00.625 Amber Lin: Among these, Okay, we’re gonna look at… This first, and then… Mmm…

283 00:27:03.660 00:27:06.189 Amber Lin: So, based on….

284 00:27:06.390 00:27:08.919 Demilade Agboola: Things that are actively in motion.

285 00:27:09.140 00:27:17.239 Demilade Agboola: And what might be blocking things. I would say, personally, 672, 675, and 579.

286 00:27:17.640 00:27:22.200 Demilade Agboola: Actually, no, not 57… oh, well, 672 and 675.

287 00:27:22.600 00:27:27.620 Demilade Agboola: I have very high priority, because, like, there are literally things that are happening right now.

288 00:27:27.620 00:27:28.260 Amber Lin: Yeah, okay.

289 00:27:28.260 00:27:30.439 Demilade Agboola: Some of the information for that.

290 00:27:30.610 00:27:35.940 Demilade Agboola: And then, from my perspective, I would say 580 would then be next.

291 00:27:36.350 00:27:37.939 Amber Lin: Okay, got it.

292 00:27:38.210 00:27:42.910 Amber Lin: … I’m gonna change that, then.

293 00:27:43.590 00:27:44.470 Amber Lin: Okay.

294 00:27:47.150 00:27:48.320 Amber Lin: Alright.

295 00:27:48.930 00:27:50.430 Amber Lin: So…

296 00:27:53.750 00:27:55.399 Amber Lin: How do I…

297 00:27:56.270 00:28:07.910 Amber Lin: It’s medium, but higher than medium. I don’t know how to categorize this. I’m going to turn this into urgent, so you can have an idea. Okay, so urgent, and then high, and then medium. Is that better?

298 00:28:09.040 00:28:10.529 Demilade Agboola: Yes, yes, that’s better.

299 00:28:10.530 00:28:21.509 Amber Lin: Okay, awesome. I need to… oh, there we go. Vashlav, I know you sent in these two PRs. Are… is someone reviewing them for you?

300 00:28:27.220 00:28:31.099 Vashdev Heerani: Nope, I… I just added, …

301 00:28:31.670 00:28:35.769 Vashdev Heerani: added the PR in the link, sorry, in the comments.

302 00:28:36.200 00:28:41.699 Vashdev Heerani: So, let me ask, Vesh to review that and merge those PRs.

303 00:28:42.340 00:28:44.089 Amber Lin: Okay, sounds good.

304 00:28:44.500 00:28:45.740 Amber Lin: ….

305 00:28:47.600 00:28:48.589 Awaish Kumar: Let’s okay.

306 00:28:52.200 00:28:56.720 Awaish Kumar: Yeah, this DVT model, I think that is a duplicated ticket.

307 00:28:57.020 00:28:57.680 Amber Lin: Okay.

308 00:28:57.720 00:29:02.720 Awaish Kumar: Assigned to me, like, do not cancel here, cancel which is assigned to me.

309 00:29:03.390 00:29:04.140 Amber Lin: Okay.

310 00:29:04.990 00:29:06.649 Amber Lin: Sounds or away.

311 00:29:06.820 00:29:08.890 Amber Lin: I saw that they sent.

312 00:29:08.890 00:29:09.500 Awaish Kumar: No, no.

313 00:29:09.500 00:29:11.270 Amber Lin: The catalyst?

314 00:29:11.270 00:29:15.629 Awaish Kumar: was… I was saying the same task

315 00:29:15.930 00:29:18.599 Awaish Kumar: Has two tickets, and …

316 00:29:19.230 00:29:25.830 Awaish Kumar: It is… one is assigned to me, and one is to WashSave, so the one which is assigned to me, just, like, cancel it.

317 00:29:26.150 00:29:26.490 Amber Lin: Oh, -.

318 00:29:26.490 00:29:27.849 Awaish Kumar: Thank you very much, sir.

319 00:29:28.040 00:29:29.990 Amber Lin: I see, that makes more sense.

320 00:29:30.450 00:29:31.710 Amber Lin: ….

321 00:29:31.710 00:29:33.090 Awaish Kumar: 55.

322 00:29:33.620 00:29:36.390 Amber Lin: 5… 5… 7.

323 00:29:39.200 00:29:42.100 Amber Lin: Should I reassign this to Vaschev?

324 00:29:42.710 00:29:44.380 Awaish Kumar: Yeah, that’s also fine, yeah.

325 00:29:44.610 00:29:47.300 Amber Lin: Yeah, I think this ticket has more context.

326 00:29:50.360 00:29:51.180 Amber Lin: Okay.

327 00:29:51.600 00:29:52.850 Amber Lin: …

328 00:29:57.650 00:30:00.150 Amber Lin: Okay, this is urgent.

329 00:30:00.480 00:30:05.580 Amber Lin: And then… Question on…

330 00:30:06.300 00:30:19.580 Amber Lin: I wish I… I think I’ll stay over… I wish with you to talk about the affiliate marketing stuff. I think Annie and Demlade, feel free to hop off. I think we talked about your tickets already.

331 00:30:22.050 00:30:23.400 Demilade Agboola: Sounds good.

332 00:30:23.400 00:30:24.450 Annie Yu: Okay, fantastic.

333 00:30:24.690 00:30:25.380 Amber Lin: Thanks!

334 00:30:25.530 00:30:28.159 Amber Lin: Harry, are these tickets updated?

335 00:30:32.920 00:30:36.629 Henry Zhao: Sorry, sorry, I couldn’t find my unmute button.

336 00:30:37.510 00:30:39.530 Henry Zhao: Yeah, everything is updated.

337 00:30:40.250 00:30:41.359 Amber Lin: Okay.

338 00:30:41.800 00:30:47.700 Henry Zhao: Right now, I’m working on the Pilot Reverse ETL to Custom I.O, so hopefully getting that done today, which would also get 561 done.

339 00:30:47.700 00:30:50.169 Amber Lin: Yeah, forget that one sec.

340 00:30:50.380 00:30:52.870 Amber Lin: Okay, sounds good.

341 00:30:52.870 00:30:57.940 Henry Zhao: And then optimized steps assignment API calls, can we change that due date to this Friday? I haven’t had a chance to do that yet.

342 00:31:03.130 00:31:04.590 Henry Zhao: And what the hell are you doing law school?

343 00:31:04.730 00:31:05.390 Amber Lin: Yeah.

344 00:31:05.830 00:31:06.690 Henry Zhao: What’s up?

345 00:31:07.190 00:31:09.900 Amber Lin: I have no idea how you changed it by using a search bar, but that was cool.

346 00:31:10.570 00:31:15.320 Amber Lin: I… it’s, … It’s the shortcuts in linear.

347 00:31:15.550 00:31:16.360 Henry Zhao: Oh, cool.

348 00:31:16.800 00:31:18.360 Amber Lin: Okay.

349 00:31:18.570 00:31:27.079 Amber Lin: With your tickets… I know you sent a message, I know they still haven’t responded to you, on the affiliate side…

350 00:31:27.870 00:31:29.330 Amber Lin: ….

351 00:31:29.900 00:31:31.030 Awaish Kumar: I don’t know why.

352 00:31:31.230 00:31:37.770 Awaish Kumar: What is that? Affiliate 686. We already have a Vibe API, and we are getting the…

353 00:31:37.900 00:31:40.980 Awaish Kumar: data to the sheet? So what is the request?

354 00:31:41.360 00:31:44.240 Amber Lin: Oh, no, I was just trying to catch up to what you were doing.

355 00:31:44.240 00:31:48.099 Awaish Kumar: I just wanted to recommend things. So, we’re trying to get….

356 00:31:48.100 00:31:48.530 Amber Lin: We’re actually….

357 00:31:48.530 00:31:55.780 Awaish Kumar: It was, like, … for Vibe, it was, kind of a… Like, it was already happening.

358 00:31:55.990 00:31:59.400 Amber Lin: The data is already being going to the sheet, but the problem is….

359 00:31:59.400 00:32:02.189 Awaish Kumar: it got an error, and I just fixed that.

360 00:32:02.940 00:32:04.480 Awaish Kumar: failed a bit of something.

361 00:32:05.200 00:32:06.640 Amber Lin: I see. Fix.

362 00:32:07.010 00:32:07.635 Amber Lin: Error.

363 00:32:08.710 00:32:12.969 Amber Lin: Let’s see… Is that fixed?

364 00:32:13.940 00:32:14.900 Awaish Kumar: Yes.

365 00:32:14.900 00:32:22.199 Amber Lin: Okay, that’s done. Do we have all the product names from Vibe, or is that something we’re trying to do?

366 00:32:22.460 00:32:27.209 Awaish Kumar: Oh, no, like, for… I’m not sure, like, the only thing which, …

367 00:32:27.400 00:32:33.440 Awaish Kumar: like, I got a clue from Mitesh, was on the… the offer.

368 00:32:33.650 00:32:37.180 Awaish Kumar: a source. He said in the offer source.

369 00:32:37.310 00:32:42.480 Awaish Kumar: like, the platform, for example, they have, kind of, URLs.

370 00:32:42.600 00:32:45.729 Awaish Kumar: And from the URLs, you can figure out the product names.

371 00:32:45.850 00:32:50.690 Awaish Kumar: But for other sources, we don’t have any…

372 00:32:51.190 00:32:54.379 Awaish Kumar: clue, like, how to get product names. The, the, they’re…

373 00:32:54.820 00:32:58.789 Awaish Kumar: So what I… if I… we need to get product names for all these

374 00:32:58.990 00:33:02.180 Awaish Kumar: Sources, then we need to get access

375 00:33:02.520 00:33:04.800 Awaish Kumar: to Y platform as well.

376 00:33:05.100 00:33:05.510 Awaish Kumar: God.

377 00:33:05.510 00:33:07.520 Amber Lin: from the AP… just the API?

378 00:33:07.560 00:33:13.460 Awaish Kumar: I’m getting the SPAN information, I’m not sure, like, even…

379 00:33:13.870 00:33:18.250 Awaish Kumar: If the platform has the product names or not.

380 00:33:18.460 00:33:22.409 Awaish Kumar: So once we can see it somewhere, I know, like, okay, we have written…

381 00:33:22.950 00:33:24.749 Awaish Kumar: We have it in the platform.

382 00:33:25.080 00:33:27.689 Awaish Kumar: And now, how to extract it via the APIs?

383 00:33:27.690 00:33:36.229 Amber Lin: Huh, okay, let me go clarify. I was not sure on the affiliate side. I will go clarify that.

384 00:33:37.030 00:33:38.380 Amber Lin: ….

385 00:33:38.800 00:33:45.660 Awaish Kumar: So we don’t have access to Y platform, we only have access to Y API, and I just… I already checked that, I already….

386 00:33:46.030 00:33:46.610 Amber Lin: I see.

387 00:33:46.920 00:33:50.730 Awaish Kumar: Like in the APR, we don’t get any product names from there.

388 00:33:50.730 00:34:01.100 Amber Lin: Yeah, okay, I see. So I saw the message on Polyatomic, so we’re getting… testing that today. These are still blocked until we test, I guess?

389 00:34:01.100 00:34:08.139 Awaish Kumar: No, we are not locked, like, Domic has built it, now it’s up to us how to connect and….

390 00:34:08.210 00:34:12.849 Amber Lin: So, 644 is done.

391 00:34:14.699 00:34:17.539 Awaish Kumar: Yes, it is connector status, so we have the connector.

392 00:34:17.989 00:34:18.659 Amber Lin: Okay.

393 00:34:19.089 00:34:25.419 Amber Lin: Done, and then… I guess this is… This is actually in progress.

394 00:34:27.949 00:34:29.379 Amber Lin: Is this to-do?

395 00:34:31.369 00:34:35.729 Amber Lin: … oh, I had a question, Henry, I…

396 00:34:35.909 00:34:49.479 Amber Lin: I know, or this was created by Andrew, yesterday we talked about to fix a CAPI event to include the event ID, and then I… and I also know that Kevin sent…

397 00:34:49.679 00:34:56.699 Amber Lin: or it’s on the marketing channel, they said they want to add those two… these two pixel IDs.

398 00:34:56.699 00:34:57.259 Henry Zhao: Yup.

399 00:34:57.440 00:34:59.960 Amber Lin: Two segments. Are they the same ticket?

400 00:35:00.710 00:35:01.270 Henry Zhao: No.

401 00:35:01.270 00:35:03.270 Amber Lin: Oh, okay, that sounds good.

402 00:35:03.390 00:35:05.910 Awaish Kumar: What is that, 663? I don’t know.

403 00:35:06.490 00:35:07.000 Henry Zhao: 63.

404 00:35:07.000 00:35:10.000 Awaish Kumar: And also this, I… I shouldn’t….

405 00:35:10.000 00:35:14.849 Henry Zhao: That was… yeah, I wish that was what Andrew asked you about in the chat between us.

406 00:35:15.740 00:35:19.250 Awaish Kumar: Yeah, but I… I’m already sending the GF4 event IDs.

407 00:35:20.580 00:35:21.190 Henry Zhao: Okay, maybe a couple….

408 00:35:21.190 00:35:21.700 Awaish Kumar: Awesome.

409 00:35:21.920 00:35:22.410 Henry Zhao: Yeah, maybe we need.

410 00:35:22.410 00:35:23.240 Awaish Kumar: That was…

411 00:35:23.910 00:35:34.130 Awaish Kumar: Yeah, like, the task to get the GFO event IDs, to Meta Conversion API via segment is done.

412 00:35:34.250 00:35:47.000 Awaish Kumar: I asked Andrew to QA the data, which is coming to Meta, if that is, like, correct or not. So I’m not sure if it is a feedback on that, the data is not as expected, or what….

413 00:35:47.740 00:35:54.130 Henry Zhao: Let me ask for clarification. I’ll ask in the chat with all three of us, so we can keep track.

414 00:35:54.450 00:35:57.680 Amber Lin: Yeah, do you want to add me there so I can update the tickets?

415 00:35:57.860 00:36:01.370 Amber Lin: If not, you’ll have to update the tickets yourselves, so….

416 00:36:01.370 00:36:07.880 Awaish Kumar: Kennedy… So, in that conversation, I already sent a reply that Hmm.

417 00:36:07.880 00:36:10.599 Henry Zhao: They didn’t apply to one of them, so let me…

418 00:36:10.780 00:36:15.470 Henry Zhao: Let me add Amber to that one, and just tag… One more time.

419 00:36:16.240 00:36:19.350 Awaish Kumar: And for 676, why is that assigned to me?

420 00:36:20.020 00:36:24.739 Amber Lin: 6, 7, 6… well, who is gonna do it?

421 00:36:24.740 00:36:25.530 Henry Zhao: Andrew.

422 00:36:26.370 00:36:38.299 Amber Lin: Oh, Andrew said… I saw it in the chat, Andrew said, let me get the team to do it. I was like, who’s the team? You’re the team! I saw this, ….

423 00:36:38.300 00:36:40.600 Henry Zhao: One, he should be… This one.

424 00:36:40.600 00:36:49.769 Awaish Kumar: Yeah, but that is, like, work, CDP work, right? So that’s… like, we have Henry and Andrew on CDP side, so any one of them has to….

425 00:36:51.330 00:36:53.129 Amber Lin: Oh, so this is assigned to Andrew.

426 00:36:54.220 00:36:55.000 Amber Lin: Okay.

427 00:36:57.800 00:36:58.880 Amber Lin: Andrew?

428 00:37:00.850 00:37:02.000 Amber Lin: Alright.

429 00:37:03.310 00:37:04.270 Amber Lin: Okay.

430 00:37:06.430 00:37:11.609 Amber Lin: Kevin’s request… Right here, have you seen it?

431 00:37:12.940 00:37:14.589 Amber Lin: Who’s gonna be doing it?

432 00:37:15.110 00:37:17.200 Amber Lin: Is that also gonna be Andrew?

433 00:37:18.890 00:37:21.640 Amber Lin: Oh, is this the first that you were….

434 00:37:21.640 00:37:24.680 Awaish Kumar: It’s going to… so there are two things. One.

435 00:37:24.680 00:37:25.010 Amber Lin: -Oh.

436 00:37:25.010 00:37:30.499 Awaish Kumar: Is getting data from that platform? Yeah. So maybe if that is a….

437 00:37:30.500 00:37:31.219 Amber Lin: Using API.

438 00:37:31.220 00:37:41.510 Awaish Kumar: One is to get data from there to our warehouse, and maybe, add that data with our offline spend. That’s on me.

439 00:37:41.680 00:37:44.699 Awaish Kumar: But I don’t know about Google Tag Manager and….

440 00:37:44.700 00:37:51.670 Amber Lin: Gosh, no, okay. This then needs to be Andrew, because I don’t think…

441 00:37:52.430 00:37:56.800 Amber Lin: anyone. Henry, is that something you would do, or is this just Andrew?

442 00:37:56.800 00:38:03.870 Henry Zhao: I have no idea what Catalyst is, but I can at least look into it. If you just send me this ticket, let me take a look at it first.

443 00:38:03.870 00:38:04.670 Amber Lin: Okay. ….

444 00:38:04.970 00:38:07.510 Henry Zhao: Yeah, but I probably can’t do this. But I’ll give it a try.

445 00:38:07.900 00:38:09.500 Henry Zhao: Just to at least… yeah.

446 00:38:09.700 00:38:20.330 Amber Lin: Gotcha, okay, let me send… this… … Oh, yay!

447 00:38:20.760 00:38:22.780 Amber Lin: We’ve got to offer API.

448 00:38:23.020 00:38:24.650 Amber Lin: Okay, I’m gonna send….

449 00:38:25.430 00:38:26.800 Awaish Kumar: Okay, August.

450 00:38:26.800 00:38:27.930 Amber Lin: Yeah, I think….

451 00:38:27.930 00:38:30.149 Awaish Kumar: And it’s the offer API, not this.

452 00:38:30.300 00:38:34.689 Amber Lin: Yeah, yeah, I know. I think we have… that’s… that’s all.

453 00:38:35.490 00:38:36.970 Awaish Kumar: I will hop….

454 00:38:37.110 00:38:39.339 Amber Lin: I think everybody… thanks, everyone.

455 00:38:39.470 00:38:42.040 Amber Lin: I’m gonna clean this up.

456 00:38:44.680 00:38:46.990 Awaish Kumar: Okay, I will just then, …

457 00:38:47.810 00:38:53.479 Awaish Kumar: maybe take it, I don’t know, watchtiv has enough tickets, right? Should I take it, the offer thing, or…?

458 00:38:54.090 00:39:04.020 Amber Lin: It’s… it’s you. It’s for you to decide. Vashtuff has, 1, 2… we don’t… we can’t do that yet.

459 00:39:04.650 00:39:07.680 Amber Lin: … Sweet.

460 00:39:07.680 00:39:09.190 Awaish Kumar: Okay, and fire….

461 00:39:09.190 00:39:10.559 Amber Lin: has these two.

462 00:39:13.220 00:39:15.190 Amber Lin: I think the offer’s more important.

463 00:39:15.190 00:39:21.840 Awaish Kumar: 627 is just… Okay, I can work on that one, and also for this GHL source.

464 00:39:22.680 00:39:24.890 Amber Lin: Oh, so I’ll assign this to you.

465 00:39:24.890 00:39:27.580 Awaish Kumar: Maybe, send it to me, and I don’t know, he….

466 00:39:27.580 00:39:38.240 Amber Lin: Yeah, we can move it later. This is not as urgent as the other ticket I’ve seen. The marketing… the offer is much more urgent. So let me grab…

467 00:39:39.130 00:39:43.310 Amber Lin: Let me grab it from… Affiliates….

468 00:39:43.310 00:39:47.890 Awaish Kumar: I asked… I told them to deliver by EOW, maybe.

469 00:39:48.140 00:39:49.670 Awaish Kumar: We’ll do that.

470 00:39:50.120 00:39:50.720 Amber Lin: Huh?

471 00:39:50.930 00:39:51.930 Amber Lin: Which one?

472 00:39:52.590 00:39:59.410 Awaish Kumar: So, in one of the messages, like, we say, like, we will execute this, this week, so I’ll do that, like, we have….

473 00:40:01.310 00:40:01.860 Amber Lin: Okay.

474 00:40:01.860 00:40:03.499 Awaish Kumar: We have 3 more days in the week.

475 00:40:03.810 00:40:10.750 Amber Lin: Okay, so I’m assigning this offer, connecting to API to Vashtab, I’m gonna put this as high.

476 00:40:12.260 00:40:20.649 Amber Lin: I’m gonna link… the… the… No, where is it?

477 00:40:22.420 00:40:23.340 Amber Lin: Okay.

478 00:40:28.740 00:40:31.000 Amber Lin: Okay, I think that’s all.

479 00:40:32.970 00:40:34.450 Amber Lin: Yeah, thanks, everyone.

480 00:40:36.050 00:40:36.869 Henry Zhao: Thank you, guys.

481 00:40:37.350 00:40:38.550 Amber Lin: Yeah, thanks.

482 00:40:40.530 00:40:41.310 Vashdev Heerani: Thank you.