Meeting Title: ABC Standup Date: 2025-08-26 Meeting participants: Amber Lin, Casie Aviles, Mustafa Raja
WEBVTT
1 00:00:17.820 ⇒ 00:00:18.920 Amber Lin: Oh!
2 00:00:21.090 ⇒ 00:00:22.210 Amber Lin: Tissue!
3 00:00:23.420 ⇒ 00:00:24.340 Amber Lin: Aww!
4 00:00:24.460 ⇒ 00:00:25.900 Amber Lin: Good morning, tissue!
5 00:00:28.660 ⇒ 00:00:29.470 Amber Lin: Hi!
6 00:00:30.910 ⇒ 00:00:31.660 Casie Aviles: Eye.
7 00:00:33.980 ⇒ 00:00:35.369 Amber Lin: How was yesterday?
8 00:00:37.000 ⇒ 00:00:40.229 Casie Aviles: Yeah, I just took the time off, but I, I…
9 00:00:40.580 ⇒ 00:00:43.419 Casie Aviles: up on some of the stuff that I didn’t.
10 00:00:43.600 ⇒ 00:00:46.110 Casie Aviles: Complete, so, yeah, just make sure to….
11 00:00:47.560 ⇒ 00:00:50.989 Amber Lin: Yeah, so I was wondering why you’re still working when it’s a holiday.
12 00:00:51.800 ⇒ 00:01:01.379 Casie Aviles: Yeah, I just didn’t want to leave some open stuff, and, you know, for insomnia, I think Robert had, like, a meeting, I’m not sure, but…
13 00:01:01.670 ⇒ 00:01:04.310 Casie Aviles: So yeah, I wanted him to have…
14 00:01:05.099 ⇒ 00:01:07.160 Casie Aviles: You know, the stuff he needs.
15 00:01:07.930 ⇒ 00:01:15.310 Amber Lin: Yeah, your notes was really helpful, and I think the looms as well, we were able to… I think he was able to make the slides.
16 00:01:16.890 ⇒ 00:01:17.820 Casie Aviles: Okay, nice.
17 00:01:17.820 ⇒ 00:01:18.340 Amber Lin: Oh.
18 00:01:19.630 ⇒ 00:01:23.649 Amber Lin: Is there still anything left on the
19 00:01:24.440 ⇒ 00:01:29.630 Amber Lin: Insomnia Cookies, I know there’s the Uber… The Uber Eats one.
20 00:01:29.630 ⇒ 00:01:31.279 Casie Aviles: Yes. Yeah, …
21 00:01:31.770 ⇒ 00:01:38.460 Casie Aviles: I think there’s, like… I’m going to treat those separately, because those are two… like, they’re two separate….
22 00:01:38.630 ⇒ 00:01:39.240 Amber Lin: Platform.
23 00:01:39.240 ⇒ 00:01:47.980 Casie Aviles: Methods, yeah, and… yeah. So, Uber Eats, I already have the… like, it’s already in progress.
24 00:01:47.980 ⇒ 00:01:49.840 Amber Lin: Mmm, the Uber ads, I saw.
25 00:01:50.480 ⇒ 00:01:56.099 Casie Aviles: Yeah, I mean, Uber Ads, yeah, sorry, Uber Ads. For Uber Eats, it… I haven’t, …
26 00:01:56.640 ⇒ 00:02:07.989 Casie Aviles: what do you call this? I haven’t had a chance to look into how we could automate that, because it involves… it’s slightly more involved in terms of, like, manual work.
27 00:02:07.990 ⇒ 00:02:08.380 Amber Lin: Mmm.
28 00:02:08.889 ⇒ 00:02:12.569 Casie Aviles: So it involves, like, Generating a report.
29 00:02:12.569 ⇒ 00:02:14.529 Amber Lin: I’m not sure, I mean….
30 00:02:14.739 ⇒ 00:02:15.909 Casie Aviles: Thankfully.
31 00:02:16.119 ⇒ 00:02:20.679 Casie Aviles: Yeah, if there’s a way we could do it through API, then why not, but…
32 00:02:21.299 ⇒ 00:02:23.639 Casie Aviles: If not, then I guess I’ll have to…
33 00:02:23.879 ⇒ 00:02:27.729 Casie Aviles: Figure out how we could do that via browser automation.
34 00:02:28.330 ⇒ 00:02:29.110 Amber Lin: I see.
35 00:02:29.860 ⇒ 00:02:34.579 Amber Lin: Okay, so I… Oh, I’m not sharing screen.
36 00:02:35.600 ⇒ 00:02:45.520 Amber Lin: So I have… Ayy… Uber Eats Manager, Spike, And then, …
37 00:02:46.670 ⇒ 00:02:53.060 Amber Lin: Uber Ads, and then let me add a… …
38 00:03:10.690 ⇒ 00:03:12.670 Amber Lin: Oh, that’s great.
39 00:03:13.370 ⇒ 00:03:15.539 Amber Lin: Automations… okay.
40 00:03:16.180 ⇒ 00:03:17.690 Amber Lin: Sounds good.
41 00:03:21.290 ⇒ 00:03:22.160 Amber Lin: Okay.
42 00:03:22.820 ⇒ 00:03:32.390 Amber Lin: Alright, I think those are the two that’s left in the automations. I’ll make the SOP from the video Robert sent.
43 00:03:32.700 ⇒ 00:03:34.680 Amber Lin: I’ll do that today.
44 00:03:35.230 ⇒ 00:03:40.129 Amber Lin: How long do you think this bike would take on the Uber Eats manager?
45 00:03:41.880 ⇒ 00:03:49.439 Casie Aviles: Last time, I usually try to have it 1-2 hours, but I took around 4 hours, actually.
46 00:03:49.440 ⇒ 00:03:51.569 Amber Lin: I see, I’m just gonna… Because….
47 00:03:51.570 ⇒ 00:03:52.190 Casie Aviles: Yeah, they’re….
48 00:03:52.190 ⇒ 00:03:52.720 Amber Lin: Done.
49 00:03:53.080 ⇒ 00:03:59.009 Casie Aviles: Okay, yeah, because there… sometimes there are things that I don’t foresee, like, for example, the…
50 00:03:59.130 ⇒ 00:04:02.409 Casie Aviles: getting blocked by the CAPTCHA for Uber Eats.
51 00:04:02.410 ⇒ 00:04:03.360 Amber Lin: Huh.
52 00:04:04.290 ⇒ 00:04:05.970 Amber Lin: I see. Okay.
53 00:04:06.310 ⇒ 00:04:12.719 Amber Lin: So, we’ll say, is this something you’ll do today, tomorrow?
54 00:04:15.700 ⇒ 00:04:23.990 Casie Aviles: It depends on when it’s needed, like, I think in the internal side, looks like we have some stuff there that’s been bumped.
55 00:04:24.130 ⇒ 00:04:25.450 Casie Aviles: Priorities.
56 00:04:26.950 ⇒ 00:04:28.810 Amber Lin: Bumped up or bumped out?
57 00:04:30.110 ⇒ 00:04:34.420 Casie Aviles: Bumped up, bumped up in priority, so it’s, like, urgent now.
58 00:04:34.660 ⇒ 00:04:35.200 Casie Aviles: So….
59 00:04:35.200 ⇒ 00:04:36.030 Amber Lin: I see.
60 00:04:37.920 ⇒ 00:04:38.810 Amber Lin: ….
61 00:04:38.810 ⇒ 00:04:41.659 Casie Aviles: Maybe tomorrow, maybe tomorrow I can start.
62 00:04:41.660 ⇒ 00:04:42.360 Amber Lin: Okay.
63 00:04:45.050 ⇒ 00:04:45.840 Amber Lin: Alright.
64 00:04:46.460 ⇒ 00:04:47.170 Amber Lin: Yep.
65 00:04:47.890 ⇒ 00:04:54.159 Amber Lin: And then, hopefully, we finish the Uber Ads and Uber Eats.
66 00:04:55.150 ⇒ 00:05:00.000 Amber Lin: This week, I think we only have Grubhub left, but we don’t have access, so…
67 00:05:00.240 ⇒ 00:05:02.699 Amber Lin: Not a… not a huge problem.
68 00:05:03.070 ⇒ 00:05:08.969 Amber Lin: I think end of this week is reasonable. Let’s see… on April….
69 00:05:08.970 ⇒ 00:05:10.589 Casie Aviles: For ABC, yeah.
70 00:05:10.590 ⇒ 00:05:11.230 Amber Lin: Yeah.
71 00:05:11.520 ⇒ 00:05:17.620 Amber Lin: Oh, also, before we go to that, on the data platform side, …
72 00:05:17.900 ⇒ 00:05:30.109 Amber Lin: I… so we’re… we need to ingest calendar data. That’s… I think we’ll assign that maybe to Vashtav, maybe to Awish, and then… oh, but I think they’re off-boarding Vashtav.
73 00:05:30.610 ⇒ 00:05:39.710 Amber Lin: So I need to ask someone else to do this. I got the feedback from… from Utam.
74 00:05:40.720 ⇒ 00:05:41.720 Amber Lin: And…
75 00:05:42.680 ⇒ 00:05:55.230 Amber Lin: So we have… I think we want another dashboard for finance data. I think the QuickBooks data is already in Snowflake, and then we would want… there’s some…
76 00:05:55.640 ⇒ 00:06:04.739 Amber Lin: changes to the linear and Clockify dashboard. I would say these are lower in priority than all the client work.
77 00:06:05.450 ⇒ 00:06:12.609 Amber Lin: Okay. But… How long do you think each of these would take, approximately?
78 00:06:15.780 ⇒ 00:06:20.970 Casie Aviles: Last time, I… for it, like, for linear, I took…
79 00:06:21.390 ⇒ 00:06:25.730 Casie Aviles: I took, let’s say, an RN30, and…
80 00:06:26.430 ⇒ 00:06:28.859 Casie Aviles: For Clackify, it was a lot faster.
81 00:06:30.920 ⇒ 00:06:33.949 Casie Aviles: So that took me… More or less an R.
82 00:06:34.370 ⇒ 00:06:39.980 Amber Lin: Hmm. So… So, should I say… …
83 00:06:40.760 ⇒ 00:06:57.060 Amber Lin: These are… these are edits to the current one, so estimate label, completed date. I think they’re still… these are all existing fields. I think these are calculation fields, so you would say this also takes about 1 point, because it’s about 2 hours.
84 00:06:57.370 ⇒ 00:07:00.680 Casie Aviles: Okay, yeah, I think one point should be good.
85 00:07:00.820 ⇒ 00:07:04.939 Amber Lin: Okay. Clockify, I think we only have 2 requests.
86 00:07:05.790 ⇒ 00:07:10.309 Amber Lin: So I will just… it sounds like a little tiny bit of modeling.
87 00:07:10.470 ⇒ 00:07:14.310 Amber Lin: But I’m gonna also say one point.
88 00:07:14.610 ⇒ 00:07:19.120 Casie Aviles: Okay, this should be faster, it looks like the comments are minor, so, yeah.
89 00:07:19.120 ⇒ 00:07:19.670 Amber Lin: Yeah.
90 00:07:19.820 ⇒ 00:07:28.010 Amber Lin: And then this is the finance data. Should be available in Snowflake, you might have to see what the data is like.
91 00:07:28.250 ⇒ 00:07:29.400 Amber Lin: …
92 00:07:30.710 ⇒ 00:07:33.470 Amber Lin: But I wish that it shouldn’t be too much modeling.
93 00:07:34.200 ⇒ 00:07:41.809 Amber Lin: I’ll… I’ll put… two points so that you have… you can edit that. Maybe we should.
94 00:07:41.810 ⇒ 00:07:42.140 Casie Aviles: Okay.
95 00:07:42.140 ⇒ 00:07:49.680 Amber Lin: Prioritize… This, and then probably… these are… Like, quick fixes.
96 00:07:51.140 ⇒ 00:07:51.770 Casie Aviles: Okay.
97 00:07:51.770 ⇒ 00:07:54.260 Amber Lin: Maybe that one by the…
98 00:07:55.170 ⇒ 00:08:01.000 Amber Lin: Ended this week, and the others are small fixes, so whenever you have time. If not, we’ll push it.
99 00:08:01.670 ⇒ 00:08:02.270 Casie Aviles: Okay.
100 00:08:02.270 ⇒ 00:08:02.920 Amber Lin: Okay.
101 00:08:04.660 ⇒ 00:08:11.620 Amber Lin: And then back to ABC… … Okay…
102 00:08:12.840 ⇒ 00:08:16.059 Amber Lin: Okay, I’ll… I’ll triage, I’ll triage these.
103 00:08:16.350 ⇒ 00:08:22.150 Amber Lin: So I groomed this a little bit, so this is the…
104 00:08:22.730 ⇒ 00:08:33.299 Amber Lin: organization of the different projects. So the most important one is gonna be the zip code database, And then…
105 00:08:35.780 ⇒ 00:08:40.140 Amber Lin: I’ll say… Transcripts?
106 00:08:40.270 ⇒ 00:08:48.859 Amber Lin: I just put everything there. And then there’s the different department integrations, and then whatever support we need to…
107 00:08:49.380 ⇒ 00:08:54.599 Amber Lin: give them. So, looking at this current…
108 00:08:55.040 ⇒ 00:09:03.160 Amber Lin: this current cycle. Is anything here that can be closed?
109 00:09:03.720 ⇒ 00:09:09.949 Amber Lin: Has Utam gave feedback on the designs of the database, or the automations?
110 00:09:11.950 ⇒ 00:09:14.810 Casie Aviles: For the cleanup, I think that should be done, ….
111 00:09:15.300 ⇒ 00:09:16.280 Amber Lin: I….
112 00:09:16.290 ⇒ 00:09:17.580 Casie Aviles: It’s just, you know, …
113 00:09:18.540 ⇒ 00:09:23.609 Casie Aviles: I guess if you need to take a look at it, if you think it’s already
114 00:09:24.160 ⇒ 00:09:31.320 Casie Aviles: clean, but I got rid of, like, most of the spread… the sheets that were not being used, and the ones that
115 00:09:31.780 ⇒ 00:09:35.099 Casie Aviles: Kind of, you know, add to the noise, but….
116 00:09:36.110 ⇒ 00:09:39.130 Casie Aviles: But yeah, this should be, definitely, I…
117 00:09:39.740 ⇒ 00:09:46.019 Casie Aviles: got rid of… I mean, hidden. I… yeah, those are… those sheets are hidden, so… should be cleaner.
118 00:09:47.140 ⇒ 00:09:47.810 Amber Lin: Okay.
119 00:09:48.720 ⇒ 00:09:56.050 Amber Lin: And right now, … The inspector sheet connects to the one with the… without formulas, right?
120 00:09:56.940 ⇒ 00:09:57.790 Casie Aviles: Yes, yes, yes.
121 00:09:57.790 ⇒ 00:10:00.079 Amber Lin: Okay, awesome. So I would…
122 00:10:03.220 ⇒ 00:10:06.479 Amber Lin: Yeah, I’ll go check it, and I’ll close that one.
123 00:10:06.600 ⇒ 00:10:07.370 Amber Lin: ….
124 00:10:07.370 ⇒ 00:10:11.999 Mustafa Raja: For 644, I would want to review on that.
125 00:10:12.690 ⇒ 00:10:13.330 Amber Lin: Okay.
126 00:10:13.710 ⇒ 00:10:14.690 Mustafa Raja: …
127 00:10:15.610 ⇒ 00:10:22.910 Mustafa Raja: Yeah, so this is… this got split into four sheets. The zip tables are merged into one, and the sket guide was split into four.
128 00:10:26.670 ⇒ 00:10:28.229 Amber Lin: Skills and zips.
129 00:10:28.230 ⇒ 00:10:33.680 Mustafa Raja: And, you know, this is, … input… Thing.
130 00:10:34.050 ⇒ 00:10:38.000 Mustafa Raja: Import range, and this is… yeah, these are… these are all import ranges.
131 00:10:38.270 ⇒ 00:10:40.110 Amber Lin: Okay.
132 00:10:40.490 ⇒ 00:10:42.990 Amber Lin: Awesome. Guidelines…
133 00:10:46.060 ⇒ 00:10:51.449 Amber Lin: Okay, perfect. I will… I’ll close those out.
134 00:10:51.590 ⇒ 00:10:52.400 Amber Lin: Yeah.
135 00:10:52.400 ⇒ 00:11:03.699 Mustafa Raja: And… but, this is only normalization. We still need to connect, these sheets to Andy, so once this is reviewed, we’ll need to create another ticket.
136 00:11:05.050 ⇒ 00:11:08.700 Amber Lin: Okay, let me put a placeholder. …
137 00:11:21.840 ⇒ 00:11:22.690 Amber Lin: Okay.
138 00:11:22.850 ⇒ 00:11:31.119 Amber Lin: … Did we hear back from Utam on… How we’re creating the database.
139 00:11:34.280 ⇒ 00:11:35.549 Amber Lin: I assume not.
140 00:11:35.660 ⇒ 00:11:37.720 Amber Lin: He said he’ll review it.
141 00:11:39.370 ⇒ 00:11:43.269 Casie Aviles: Oh, yeah, I said no. Yeah, I didn’t get that.
142 00:11:43.620 ⇒ 00:11:51.659 Amber Lin: I see. Because I do want to make the zip code database,
143 00:11:52.380 ⇒ 00:11:55.800 Amber Lin: this sprint, so I think we have 2 weeks.
144 00:11:56.720 ⇒ 00:11:58.100 Amber Lin: …
145 00:11:58.260 ⇒ 00:12:06.429 Amber Lin: Do we have a plan of how we’re building it up? Like, the different schema designs, and how the database should look like?
146 00:12:08.460 ⇒ 00:12:18.760 Casie Aviles: Based on my spike, like, I have, like, two possible ways that we could Design the database.
147 00:12:18.760 ⇒ 00:12:19.600 Amber Lin: Hmm. But….
148 00:12:20.680 ⇒ 00:12:22.700 Casie Aviles: It would be helpful if…
149 00:12:23.100 ⇒ 00:12:27.029 Casie Aviles: maybe, I don’t know, maybe Sam can review? Like.
150 00:12:27.030 ⇒ 00:12:27.650 Amber Lin: Hmm.
151 00:12:29.860 ⇒ 00:12:38.909 Casie Aviles: Yeah, like, I have it on my Loom, and on the Loom video that I attached there, like, I have two database
152 00:12:39.220 ⇒ 00:12:41.510 Casie Aviles: What do you call these designs there, but….
153 00:12:41.810 ⇒ 00:12:42.860 Amber Lin: Okay.
154 00:12:43.120 ⇒ 00:12:54.080 Amber Lin: So, let me get those reviewed, and then maybe we should just book a session to talk about it. Let me check their calendars.
155 00:12:54.900 ⇒ 00:13:02.010 Amber Lin: Utam and Sam… Okay, I don’t think Utam has a brick.
156 00:13:02.260 ⇒ 00:13:06.150 Amber Lin: So, let’s see, Sam… Okay.
157 00:13:06.810 ⇒ 00:13:08.290 Amber Lin: …
158 00:13:11.620 ⇒ 00:13:12.570 Amber Lin: Hmm.
159 00:13:13.250 ⇒ 00:13:15.040 Amber Lin: Maybe we can…
160 00:13:19.030 ⇒ 00:13:23.430 Amber Lin: Grab time, like, tomorrow?
161 00:13:24.610 ⇒ 00:13:32.900 Amber Lin: Probably we can grab time, like, after the data… Maybe after the… AI Team Sync.
162 00:13:33.520 ⇒ 00:13:40.390 Amber Lin: Okay, I’ll… I’ll put a… Placeholder… …
163 00:13:50.540 ⇒ 00:13:52.560 Amber Lin: Mustafa, do you want to be there?
164 00:13:53.100 ⇒ 00:13:54.059 Mustafa Raja: Yeah, yeah, yeah.
165 00:13:54.060 ⇒ 00:13:54.680 Amber Lin: Okay.
166 00:13:57.160 ⇒ 00:14:01.090 Amber Lin: I’ll invite UTAM and mark him as optional.
167 00:14:02.370 ⇒ 00:14:03.490 Amber Lin: Save.
168 00:14:04.230 ⇒ 00:14:07.349 Amber Lin: Send… I’m gonna cancel that one.
169 00:14:08.120 ⇒ 00:14:11.020 Amber Lin: this event… Okay.
170 00:14:13.370 ⇒ 00:14:14.720 Amber Lin: Sounds good.
171 00:14:18.760 ⇒ 00:14:22.449 Amber Lin: … alright, so we’ll do that tomorrow.
172 00:14:22.600 ⇒ 00:14:30.210 Amber Lin: And then… oh, I think this is part of the database design of… …
173 00:14:31.070 ⇒ 00:14:50.770 Amber Lin: you know, in the zip code sheet, they have, say, Austin North, Austin South. Those are, like, quadrants, and that’s how they assign backup, so I was wondering if we can also have that in a database of, oh, these belong to the same quadrant, and these belong to the same quadrant, so they can be backups for each other.
174 00:14:52.680 ⇒ 00:15:02.270 Casie Aviles: Yeah, yeah, I think it’s all possible. It’s just, like, I guess the main thing to consider is whether…
175 00:15:02.620 ⇒ 00:15:05.199 Casie Aviles: You know, like, how we design it. Is it…
176 00:15:05.570 ⇒ 00:15:10.160 Casie Aviles: going to produce the right queries? Is it structured in a way that
177 00:15:10.430 ⇒ 00:15:12.729 Casie Aviles: Makes sense and is, you know.
178 00:15:13.230 ⇒ 00:15:19.760 Casie Aviles: So I think it’s possible to have quadrants there. It’s just more of, like, how do we add it, basically?
179 00:15:20.280 ⇒ 00:15:24.750 Amber Lin: Okay, I see, awesome. Now we have…
180 00:15:25.040 ⇒ 00:15:28.750 Amber Lin: The transcript, it’s still not successful yet, right?
181 00:15:29.780 ⇒ 00:15:36.150 Casie Aviles: Yeah, I didn’t have the chance to… because, yeah, I asked the Avash devs help here.
182 00:15:36.150 ⇒ 00:15:40.690 Amber Lin: Yeah, I don’t think Vashtra will be able to take that. Utam said he would, …
183 00:15:41.310 ⇒ 00:15:43.970 Amber Lin: I’m gonna also ask him tomorrow.
184 00:15:44.440 ⇒ 00:15:49.409 Amber Lin: Skip those… okay, and then… I think I’ll take…
185 00:15:49.700 ⇒ 00:16:00.400 Amber Lin: I’ll take these two. I tried to ask the ABC folks to do it, they couldn’t, so I’m gonna do… I’m gonna create the central docs, and I’ll let you guys know when we can make it.
186 00:16:00.600 ⇒ 00:16:03.270 Amber Lin: when we can rag it, and then… Okay.
187 00:16:03.430 ⇒ 00:16:05.010 Mustafa Raja: ….
188 00:16:06.140 ⇒ 00:16:16.589 Amber Lin: Yeah, I think that’s mostly… It… other… oh, this one of… Showing the original.
189 00:16:16.790 ⇒ 00:16:19.869 Casie Aviles: Oh, okay, okay, yeah, I’ll fix this today. Yeah, yeah, yeah.
190 00:16:19.870 ⇒ 00:16:30.579 Amber Lin: Okay. I don’t think this is, like, too urgent. Most of them, we can get a sense based on Annie’s answer, but sometimes, like, people ask. So if you have time, we can do that. I’ll just say end of week.
191 00:16:31.600 ⇒ 00:16:32.510 Casie Aviles: Okay, okay.
192 00:16:32.650 ⇒ 00:16:33.440 Amber Lin: Yeah.
193 00:16:34.070 ⇒ 00:16:42.950 Amber Lin: And here are some feedback. I probably need to triage, some of them.
194 00:16:44.010 ⇒ 00:16:49.880 Amber Lin: I think… oh, there was a… I think for the mechanical questions ones, there was…
195 00:16:50.130 ⇒ 00:16:52.800 Amber Lin: A lot of times, they would be in…
196 00:16:52.920 ⇒ 00:16:57.830 Amber Lin: the central dock and not showing up, so I don’t know what’s…
197 00:16:58.070 ⇒ 00:17:14.380 Amber Lin: Going on there, so let me check… Inbox… Filter by… A, B, C… Yeah.
198 00:17:15.140 ⇒ 00:17:25.089 Amber Lin: So… It’s in… Like… She doesn’t know why it’s not showing up, And …
199 00:17:25.460 ⇒ 00:17:30.990 Amber Lin: Janiece is also saying that it’s not coming out correctly… …
200 00:17:34.300 ⇒ 00:17:41.680 Amber Lin: And then it’s not picking it up… is… is the rack not updating, or…?
201 00:17:42.360 ⇒ 00:17:49.989 Mustafa Raja: RAG, RAG is updating, we can… we can see if… Hmm… if it’s specific to…
202 00:17:50.420 ⇒ 00:17:52.150 Mustafa Raja: Mechanical thing or not.
203 00:17:52.790 ⇒ 00:17:59.639 Mustafa Raja: Because I see, in the channel that, we are getting the lag-updated notification quite a lot.
204 00:17:59.640 ⇒ 00:18:02.240 Amber Lin: Yeah, I see that too.
205 00:18:02.620 ⇒ 00:18:04.239 Amber Lin: So, I… I have….
206 00:18:04.240 ⇒ 00:18:11.080 Mustafa Raja: We can also, look into the database, if, if that is up-to-date or not.
207 00:18:11.650 ⇒ 00:18:22.030 Mustafa Raja: Yeah. We have a step, step in, Superbase. We first, store the whole content into a database, and then, then we write it.
208 00:18:22.140 ⇒ 00:18:24.769 Mustafa Raja: So we do have the raw data, in there.
209 00:18:25.300 ⇒ 00:18:29.230 Mustafa Raja: So if it’s there, it’s going to be… I see.
210 00:18:29.230 ⇒ 00:18:34.740 Amber Lin: See? Okay, so it’s not our problem with the rags, so maybe it’s how they’re…
211 00:18:34.990 ⇒ 00:18:47.680 Amber Lin: wording it, they’re getting confused. Oh, I’ll do that later. I think they’re getting confused, because I’m looking at here, she says car charger, the question is about EV charger, I don’t think Andy understands.
212 00:18:47.840 ⇒ 00:18:48.510 Amber Lin: cars….
213 00:18:48.510 ⇒ 00:18:51.660 Mustafa Raja: Yeah, this isn’t going to work.
214 00:18:51.660 ⇒ 00:18:52.400 Amber Lin: Yeah.
215 00:18:52.400 ⇒ 00:18:54.930 Mustafa Raja: Charger might match, but the EV and….
216 00:18:54.930 ⇒ 00:18:57.430 Amber Lin: Car conflict is going to be there.
217 00:18:59.950 ⇒ 00:19:00.580 Amber Lin: Huh?
218 00:19:01.020 ⇒ 00:19:09.490 Mustafa Raja: The car… car… sorry, the charger thing might match, but, the EV isn’t going to be found, no?
219 00:19:11.130 ⇒ 00:19:16.849 Amber Lin: Yeah, I agree. So, I’ll go… I’ll go look through them. I think there was a few things that…
220 00:19:17.930 ⇒ 00:19:19.250 Amber Lin: needed help.
221 00:19:19.580 ⇒ 00:19:29.620 Amber Lin: … That’s from… Tara… okay, I’ll look through these, and I’ll follow up on them.
222 00:19:29.960 ⇒ 00:19:30.760 Amber Lin: Why do you guys….
223 00:19:30.760 ⇒ 00:19:31.480 Mustafa Raja: Okay.
224 00:19:31.970 ⇒ 00:19:39.530 Amber Lin: Yeah. Anything on the AI side that needs my review? I know I still haven’t looked at the meeting score system, but I don’t think it’s that urgent.
225 00:19:41.030 ⇒ 00:19:45.689 Casie Aviles: It’s not super urgent, but yeah, just whenever you get the chance.
226 00:19:45.690 ⇒ 00:19:46.130 Amber Lin: Okay.
227 00:19:46.130 ⇒ 00:19:46.850 Mustafa Raja: Yeah.
228 00:19:47.030 ⇒ 00:19:50.999 Mustafa Raja: And we also haven’t been, too active in internal work.
229 00:19:51.140 ⇒ 00:19:53.320 Mustafa Raja: It’s mostly client work that we’re working on.
230 00:19:53.320 ⇒ 00:19:58.680 Amber Lin: I see, I see, I see. Do you guys like doing more client work, or do you guys prefer the internal work?
231 00:19:58.680 ⇒ 00:20:01.719 Mustafa Raja: Internal work is very chilled.
232 00:20:03.600 ⇒ 00:20:07.830 Mustafa Raja: Client work is, you know, you have to meet the deadlines.
233 00:20:07.830 ⇒ 00:20:09.370 Amber Lin: Yeah, I agree.
234 00:20:09.370 ⇒ 00:20:10.529 Mustafa Raja: the meeting.
235 00:20:10.650 ⇒ 00:20:11.010 Amber Lin: Yeah.
236 00:20:11.010 ⇒ 00:20:20.850 Mustafa Raja: And for interlude and default, there’s a meeting every week, so I need to make some progress on both of them.
237 00:20:21.140 ⇒ 00:20:24.959 Amber Lin: Mmm, wow. I see.
238 00:20:26.850 ⇒ 00:20:30.879 Mustafa Raja: Whereas the client work… oh, sorry, the internal work would be….
239 00:20:32.160 ⇒ 00:20:33.450 Amber Lin: I see.
240 00:20:33.870 ⇒ 00:20:36.310 Amber Lin: Yeah, I like, I liked when I was…
241 00:20:37.390 ⇒ 00:20:42.670 Amber Lin: working on some internal work, too. It was… the stuff we’re doing is very nice.
242 00:20:43.990 ⇒ 00:20:46.040 Amber Lin: Yeah, anyways, thank you guys for….
243 00:20:46.040 ⇒ 00:20:47.190 Mustafa Raja: It’s pretty chill.
244 00:20:47.190 ⇒ 00:20:53.269 Amber Lin: Yeah, he is. Okay, I’ll see you guys tomorrow. I’m gonna hop to talk to Rico.
245 00:20:53.730 ⇒ 00:20:54.629 Casie Aviles: Okay, thank you.
246 00:20:54.810 ⇒ 00:20:55.490 Amber Lin: Bye!
247 00:20:55.490 ⇒ 00:20:56.160 Casie Aviles: everyone.
248 00:20:56.160 ⇒ 00:20:56.790 Mustafa Raja: Right.
249 00:20:57.290 ⇒ 00:20:58.080 Amber Lin: Thank you.