Meeting Title: Onboarding Call <> Annie, Patrik, & James Date: 2025-03-19 Meeting participants: Mariane Cequina, Annie Yu, Patrik
WEBVTT
1 00:03:42.090 ⇒ 00:03:43.590 Annie Yu: Hello! Everyone.
2 00:03:44.340 ⇒ 00:03:48.280 Mariane Cequina: Hello! Just wait for let’s wait for James.
3 00:03:49.100 ⇒ 00:03:50.170 Annie Yu: Awesome.
4 00:04:05.010 ⇒ 00:04:11.080 Annie Yu: Where are you both? Located? I guess you 3 wait. Is that is that you, Marian?
5 00:04:11.690 ⇒ 00:04:13.060 Annie Yu: Yeah. Hello. Yeah.
6 00:04:13.060 ⇒ 00:04:13.450 Annie Yu: Okay.
7 00:04:13.450 ⇒ 00:04:14.340 Mariane Cequina: Hey?
8 00:04:14.680 ⇒ 00:04:16.620 Mariane Cequina: I’m actually from the Philippines.
9 00:04:18.110 ⇒ 00:04:22.639 Annie Yu: Awesome. I’ve never been but heard great things about the beaches
10 00:04:23.150 ⇒ 00:04:25.850 Mariane Cequina: Yeah, and there are a lot of mountains and beaches here
11 00:04:27.370 ⇒ 00:04:29.770 Patrik: What’s the time? What’s the time over there?
12 00:04:30.680 ⇒ 00:04:32.300 Mariane Cequina: Scared. 11 Pm.
13 00:04:32.300 ⇒ 00:04:32.735 Annie Yu: Oh!
14 00:04:33.170 ⇒ 00:04:35.149 Patrik: Oh, my lord!
15 00:04:37.658 ⇒ 00:04:40.129 Mariane Cequina: Yeah, you. You’re both in the Us. Right?
16 00:04:41.660 ⇒ 00:04:42.700 Mariane Cequina: Okay?
17 00:04:42.850 ⇒ 00:04:43.310 Annie Yu: Which time.
18 00:04:43.310 ⇒ 00:04:49.740 Patrik: I’m on the yeah. I’m on the east coast. I’m I’m right outside of New York City in Hoboken.
19 00:04:50.330 ⇒ 00:04:54.150 Annie Yu: Oh, love it! I I have a few still live there
20 00:04:54.380 ⇒ 00:04:56.590 Patrik: Oh, nice, nice, very cool!
21 00:04:56.880 ⇒ 00:04:58.500 Patrik: Have you spent time out here, or
22 00:04:59.931 ⇒ 00:05:02.059 Annie Yu: I do know. Rockers
23 00:05:02.630 ⇒ 00:05:03.900 Patrik: Yes. Yeah, yeah, definitely.
24 00:05:03.900 ⇒ 00:05:05.199 Annie Yu: There’s there! That’s why
25 00:05:05.200 ⇒ 00:05:06.750 Patrik: Oh, no way! Oh, cool
26 00:05:06.750 ⇒ 00:05:09.380 Annie Yu: People that still live around the area
27 00:05:09.380 ⇒ 00:05:17.289 Patrik: Yeah, yeah, yeah, I grew up north of Philadelphia. I went to school in in Jersey and and Pennington. So.
28 00:05:18.520 ⇒ 00:05:21.750 Patrik: But the area yeah. Rutgers is close.
29 00:05:25.390 ⇒ 00:05:26.410 Patrik: and where are you now?
30 00:05:26.880 ⇒ 00:05:28.830 Annie Yu: Portland, Oregon.
31 00:05:29.740 ⇒ 00:05:32.720 Patrik: Nice nice! What brought what brought you out there
32 00:05:33.325 ⇒ 00:05:34.535 Annie Yu: Yeah, it’s
33 00:05:35.450 ⇒ 00:05:42.512 Annie Yu: It’s been so rainy, and I think it’s the spring is finally around the corner. So wish me luck.
34 00:05:43.553 ⇒ 00:05:44.840 Patrik: Yeah. Yeah.
35 00:05:51.135 ⇒ 00:05:53.129 Patrik: yeah, rut, curses.
36 00:05:55.745 ⇒ 00:06:00.110 Mariane Cequina: Think we should start if he was late for 5 min. We can actually start
37 00:06:00.110 ⇒ 00:06:00.710 Annie Yu: Yeah.
38 00:06:01.020 ⇒ 00:06:01.450 Mariane Cequina: Okay.
39 00:06:01.450 ⇒ 00:06:02.300 Patrik: Perfect.
40 00:06:08.350 ⇒ 00:06:09.160 Patrik: see.
41 00:06:13.260 ⇒ 00:06:13.975 Mariane Cequina: Hold on
42 00:06:14.990 ⇒ 00:06:17.020 Mariane Cequina: Usually Nico will be here.
43 00:06:17.150 ⇒ 00:06:23.320 Mariane Cequina: so he’s more talkative than I’ve. But for some reason he has other meetings. So I was just me
44 00:06:23.810 ⇒ 00:06:24.700 Patrik: Yes.
45 00:06:24.700 ⇒ 00:06:25.580 Annie Yu: Awesome.
46 00:06:25.740 ⇒ 00:06:28.770 Mariane Cequina: Okay, just wait for let’s wait for 5 more minutes.
47 00:06:29.320 ⇒ 00:06:29.750 Patrik: Okay.
48 00:07:46.800 ⇒ 00:07:48.579 Mariane Cequina: Okay, cool. I think we should start.
49 00:07:48.770 ⇒ 00:07:50.500 Mariane Cequina: or maybe you won’t be training us.
50 00:07:50.700 ⇒ 00:07:51.730 Mariane Cequina: So I’ll just
51 00:07:53.700 ⇒ 00:08:01.210 Mariane Cequina: okay. So welcome again, Patrick and Annie. I’m Marian. So usually in operation, it was me and Nico.
52 00:08:01.320 ⇒ 00:08:03.830 Mariane Cequina: So for now it won’t be.
53 00:08:04.200 ⇒ 00:08:24.880 Mariane Cequina: He won’t be joining us because he have other meetings today. And yeah, so about the brain forge. So brain forge AI, Llc. Llc. Established on July 2120 23. So it was actually a boutique data analytics consulting base in Austin, Texas. So, as you all know, we don’t have the
54 00:08:25.110 ⇒ 00:08:26.140 Mariane Cequina: they go.
55 00:08:26.710 ⇒ 00:08:53.169 Mariane Cequina: I mean, this is just a remote job for now, and the company specializes in transforming raw data into actionable, actionable insights, and which enables businesses to make smarter, faster decisions that drive meaningful change. So the CEO is utamaran. And yeah. So he was actually the founder of Brainforge. So last year I was hired here last year 2024. We’re just around less than 10
56 00:08:53.460 ⇒ 00:09:00.060 Mariane Cequina: members. And it’s kind of crazy because most of us are actually Filipino back then. But right now we are
57 00:09:00.560 ⇒ 00:09:08.089 Mariane Cequina: quickly expanding. It’s really crazy. Because if I’m not mistaken. We’re currently 25 active members right now. So
58 00:09:08.780 ⇒ 00:09:09.569 Mariane Cequina: Yeah, so.
59 00:09:09.570 ⇒ 00:09:12.858 Patrik: How many? How many are full? Time versus
60 00:09:14.170 ⇒ 00:09:14.680 Mariane Cequina: Part time.
61 00:09:14.680 ⇒ 00:09:16.330 Patrik: Hourly. Yeah, part time.
62 00:09:17.180 ⇒ 00:09:21.000 Mariane Cequina: To be honest, I don’t have the information without yet.
63 00:09:21.270 ⇒ 00:09:21.870 Patrik: Yeah.
64 00:09:21.870 ⇒ 00:09:22.850 Mariane Cequina: Regarding that.
65 00:09:23.650 ⇒ 00:09:31.020 Mariane Cequina: So yeah, as you can see, we have a managing partner, which is Robert. He started joining us this year.
66 00:09:31.150 ⇒ 00:09:33.380 Mariane Cequina: If I’m not mistake. It’s around January.
67 00:09:33.620 ⇒ 00:09:37.160 Mariane Cequina: So he actually he was the owner of
68 00:09:37.440 ⇒ 00:09:40.100 Mariane Cequina: pinpoint. Is that correct? I’m sorry.
69 00:09:40.280 ⇒ 00:09:41.500 Mariane Cequina: What’s the
70 00:09:42.663 ⇒ 00:09:43.809 Patrik: Which one?
71 00:09:43.810 ⇒ 00:09:45.569 Mariane Cequina: Something like the like the emerge
72 00:09:49.140 ⇒ 00:09:50.460 Patrik: Little insights. Yeah.
73 00:09:50.460 ⇒ 00:09:50.900 Patrik: Yeah.
74 00:09:50.900 ⇒ 00:09:54.590 Mariane Cequina: Your your pronunciation is as good as mine, so I’m sorry
75 00:09:54.590 ⇒ 00:09:56.829 Patrik: That one’s that one’s tough, that one’s tough
76 00:09:57.236 ⇒ 00:10:02.919 Mariane Cequina: So so they actually merge. So they are actually friends and something like that.
77 00:10:05.340 ⇒ 00:10:11.250 Mariane Cequina: And then for me, the team I’m gonna share with you the screen here? Hold on.
78 00:10:12.160 ⇒ 00:10:13.420 Mariane Cequina: Hmm, yeah.
79 00:10:14.110 ⇒ 00:10:34.550 Mariane Cequina: So some of this are not updated. So I haven’t added the new members. But yeah, so we have Michael for the data architect and advisor, and Stephen as a lead project manager, and then Akash as a project manager and amber as a junior project manager, and Annie is a project manager as well correct
80 00:10:37.620 ⇒ 00:10:41.020 Annie Yu: Oh, I was muted. No, I’m a data analyst
81 00:10:41.020 ⇒ 00:10:59.010 Mariane Cequina: Oh, sorry, I’m sorry about that. And then for the operation, Nico and I and Robert will be recruiter. And then for the data team. It was Ryan. So Ryan is actually Philippine as well. And then we also have Payas, and then Sahana, who
82 00:10:59.220 ⇒ 00:11:06.340 Mariane Cequina: Kyle and the male lead, and for the AI. We have Miguel Cassie, Jonah.
83 00:11:06.790 ⇒ 00:11:12.150 Mariane Cequina: And we have the new. Yeah, Patrick, you’ll be part of the AI as well. Yeah.
84 00:11:12.330 ⇒ 00:11:12.870 Mariane Cequina: Yeah.
85 00:11:12.870 ⇒ 00:11:28.899 Mariane Cequina: And Annie will be part of the data, and for the design team was Anne Hannah. Hannah actually is not totally a designer. He she’s more in like the head of the marketing so, and then Ryan is the content writer. So that’s our team.
86 00:11:29.310 ⇒ 00:11:32.214 Patrik: I don’t think I’ve met jonna yet.
87 00:11:33.230 ⇒ 00:11:36.509 Mariane Cequina: Yeah, she’s she’s not really active in joining meetings.
88 00:11:37.650 ⇒ 00:11:38.789 Mariane Cequina: She’s actually a partner.
89 00:11:38.790 ⇒ 00:11:39.320 Mariane Cequina: M.
90 00:11:39.470 ⇒ 00:11:41.650 Patrik: She’s part time, but she’s still working on stuff
91 00:11:42.150 ⇒ 00:11:42.940 Mariane Cequina: Yeah, yeah.
92 00:11:44.810 ⇒ 00:11:45.740 Patrik: Good to know
93 00:11:47.700 ⇒ 00:11:50.259 Mariane Cequina: Kazi, I think, is full time as well as Miguel
94 00:11:50.260 ⇒ 00:11:54.596 Patrik: Yeah, I’ve I’ve I met Cassie and and Miguel
95 00:11:55.800 ⇒ 00:12:00.310 Patrik: made like a 1 on one call. Got up to speed with, you know a couple of the projects.
96 00:12:00.901 ⇒ 00:12:03.709 Patrik: But yeah, haven’t. Haven’t talked to China yet.
97 00:12:04.560 ⇒ 00:12:10.749 Mariane Cequina: Yeah, maybe maybe I will tell him to. I tell her to join some meetings, because she’s not really active even in
98 00:12:10.910 ⇒ 00:12:14.050 Mariane Cequina: sometimes in kickoff meetings. And yeah, so
99 00:12:14.050 ⇒ 00:12:14.850 Patrik: Yeah, yeah.
100 00:12:14.850 ⇒ 00:12:15.500 Mariane Cequina: That one.
101 00:12:16.320 ⇒ 00:12:29.720 Mariane Cequina: That’s the expectation. So so, Patrick and Annie, as you’ll be collaborating with different the members, and then.
102 00:12:29.820 ⇒ 00:12:33.550 Mariane Cequina: if I’m not mistaken. They are trying to organize the
103 00:12:33.690 ⇒ 00:12:54.269 Mariane Cequina: assignee, because before the data analyst, for example, they’re all over the place. So sometimes they will tell them to to work in different clients. But if I’m not mistaken, autumn is trying to organize those things. So, for example, if Annie will be assigned in Eden, for example. And that was all it because before they’re trying to
104 00:12:54.380 ⇒ 00:13:03.420 Mariane Cequina: assign team members from different or to different clients, so they’re trying to be more organized on that one, and also to have different project manager
105 00:13:04.404 ⇒ 00:13:11.639 Mariane Cequina: in a certain clients, because before we only have one project manager in which is Nico in the
106 00:13:11.760 ⇒ 00:13:15.109 Mariane Cequina: right now he’s working more on operations.
107 00:13:15.950 ⇒ 00:13:28.109 Mariane Cequina: and then for the tools we use slack as a form of communication, and we have notion. So before we use notion as a task data management tool. But we are migrating now in linear
108 00:13:28.320 ⇒ 00:13:29.000 Mariane Cequina: so
109 00:13:29.800 ⇒ 00:13:38.010 Mariane Cequina: the one that will on board you on that one is actually the project manager. So if I’m not mistaken, it was actually Amber who’s trying to organize those things
110 00:13:38.305 ⇒ 00:13:40.959 Patrik: Yeah, yeah, she’s she’s been on top of it.
111 00:13:41.726 ⇒ 00:13:51.380 Mariane Cequina: And then but we’re keeping the notion for documentation processes, so if you need to look for some okay, i’m gonna show it with you.
112 00:13:52.716 ⇒ 00:13:53.990 Mariane Cequina: Hold on
113 00:13:55.020 ⇒ 00:14:01.810 Mariane Cequina: here, if you can, you can. You can see me so you can go here in the home page and then for the documentation here.
114 00:14:03.340 ⇒ 00:14:08.450 Mariane Cequina: So yeah, so if you need anything, you can see it here in the documentation.
115 00:14:08.600 ⇒ 00:14:10.130 Mariane Cequina: And then
116 00:14:13.850 ⇒ 00:14:19.100 Mariane Cequina: we track the time using clockify. So I’m gonna show you the clockify. So we don’t.
117 00:14:19.760 ⇒ 00:14:25.100 Mariane Cequina: We don’t screenshot or anything like that. So and you also have a
118 00:14:26.880 ⇒ 00:14:30.249 Mariane Cequina: hold on. I’m gonna share my screen.
119 00:14:30.970 ⇒ 00:14:31.660 Mariane Cequina: Okay.
120 00:14:33.290 ⇒ 00:14:33.930 Patrik: See.
121 00:14:40.840 ⇒ 00:14:47.019 Mariane Cequina: So you’re in the clock. If I you can go here in the don’t go here in the time sheet, but here
122 00:14:47.220 ⇒ 00:14:53.350 Mariane Cequina: and then I assign you with project or with the clients that you’re assigned to, and then you can click it.
123 00:14:53.610 ⇒ 00:14:54.790 Mariane Cequina: and then
124 00:14:55.080 ⇒ 00:15:04.769 Mariane Cequina: you have the option to have a timer. But you can also, for example, here you can also do the manual mode just in case you need to change something
125 00:15:06.150 ⇒ 00:15:08.839 Mariane Cequina: Okay, so that’s for the clock. If I and
126 00:15:08.840 ⇒ 00:15:10.529 Patrik: That would be good. Yeah.
127 00:15:10.530 ⇒ 00:15:16.159 Mariane Cequina: Yeah. And then we use gusto. As for the payment.
128 00:15:16.690 ⇒ 00:15:21.199 Mariane Cequina: so I’ll be sending you some invite for gusto, and then
129 00:15:21.310 ⇒ 00:15:23.450 Mariane Cequina: and then you need to fill up your bank there
130 00:15:23.700 ⇒ 00:15:32.609 Mariane Cequina: and then for the engineer. So both of both of you, Patrick and Annie, is part of the engineering team. You will be paid once a month. Are you aware of that
131 00:15:33.540 ⇒ 00:15:34.040 Mariane Cequina: at
132 00:15:35.730 ⇒ 00:15:39.790 Patrik: Yeah, yeah, I wasn’t aware of that. But that sounds good.
133 00:15:40.310 ⇒ 00:15:46.260 Mariane Cequina: Okay, so you’ll be paid once a month in the 1st week of
134 00:15:46.530 ⇒ 00:15:50.530 Mariane Cequina: the month, like, for example, here in March, you will be paid on April
135 00:15:51.410 ⇒ 00:15:58.559 Patrik: Yeah, that’s good. And it’s all connected to clockify like we don’t have to put anything into
136 00:15:58.850 ⇒ 00:16:03.049 Mariane Cequina: Yeah, so make sure to always update the your time.
137 00:16:03.160 ⇒ 00:16:05.050 Mariane Cequina: Ow, no.
138 00:16:05.050 ⇒ 00:16:15.510 Mariane Cequina: And then we also have one password. So I’m sure you’re aware of that, how to use those things. And then we have Github. I’m not quite sure if I invited both of you, because
139 00:16:15.510 ⇒ 00:16:15.840 Patrik: Yes.
140 00:16:15.840 ⇒ 00:16:23.879 Mariane Cequina: We’re having a problem in the Github, and we’re trying to just invite, invite the project manager or something like that. So I will keep you posted about that.
141 00:16:24.040 ⇒ 00:16:25.310 Mariane Cequina: So yeah, so that’s the
142 00:16:25.310 ⇒ 00:16:29.310 Patrik: I’m all set. I’m all set with github maybe any
143 00:16:29.520 ⇒ 00:16:32.249 Annie Yu: I’m also on the company ones
144 00:16:32.990 ⇒ 00:16:33.580 Mariane Cequina: Okay?
145 00:16:34.090 ⇒ 00:16:47.159 Mariane Cequina: So yeah, so that’s the tool that we use the slack notion clock. If I have one password and gusto expect the project manager will on board you on linear. So you’re trying to finalize those things.
146 00:16:49.280 ⇒ 00:16:50.600 Mariane Cequina: So I, yeah.
147 00:16:50.770 ⇒ 00:16:56.389 Mariane Cequina: yeah. So that was all. It. If you have any question. Let me know. Do you have any
148 00:17:02.650 ⇒ 00:17:04.170 Patrik: Let’s see.
149 00:17:06.319 ⇒ 00:17:15.490 Patrik: Oh, yeah, I need, I think I need access to our Gct instance, Google Google Cloud project this
150 00:17:15.490 ⇒ 00:17:16.969 Mariane Cequina: Okay, Google, cloud, okay.
151 00:17:18.099 ⇒ 00:17:19.369 Patrik: And
152 00:17:22.849 ⇒ 00:17:27.809 Patrik: yeah, I think that should be good. What’s the 3rd one from the right? I don’t recognize that logo.
153 00:17:28.529 ⇒ 00:17:29.869 Patrik: Annie. Maybe you know
154 00:17:29.870 ⇒ 00:17:30.630 Annie Yu: Data break
155 00:17:30.630 ⇒ 00:17:31.290 Mariane Cequina: Fine.
156 00:17:31.770 ⇒ 00:17:40.729 Mariane Cequina: Oh, I’m not really quite sure about that, like the real whatsoever from like in the engineering. So actually, the Google Cloud, I was not the one who invite people there. But I will
157 00:17:40.730 ⇒ 00:17:43.564 Patrik: I can ask. I can ask amber.
158 00:17:44.270 ⇒ 00:17:48.339 Patrik: yeah. The 3rd from the right, not the databricks, one the one to the right of the row.
159 00:17:48.340 ⇒ 00:17:49.070 Annie Yu: Awesome.
160 00:17:49.430 ⇒ 00:17:51.419 Patrik: Oh, that’s tableau. Okay?
161 00:17:52.840 ⇒ 00:17:56.339 Annie Yu: Okay, we have access to all these
162 00:17:58.460 ⇒ 00:18:01.480 Annie Yu: Oh, and yeah, I believe
163 00:18:01.480 ⇒ 00:18:05.790 Mariane Cequina: Oh, I’m not really quite sure about that, because usually they will invite you about it. Yeah.
164 00:18:07.020 ⇒ 00:18:09.429 Annie Yu: Yeah, cause I think I only have
165 00:18:10.410 ⇒ 00:18:15.830 Annie Yu: probably Snowflake, as of now. And the real real data
166 00:18:16.160 ⇒ 00:18:16.710 Mariane Cequina: Okay.
167 00:18:16.710 ⇒ 00:18:18.250 Patrik: Yeah, real? Yeah, real?
168 00:18:20.910 ⇒ 00:18:24.160 Mariane Cequina: I’m surprised they’re using tableau if they
169 00:18:24.750 ⇒ 00:18:26.100 Patrik: Pushing, real.
170 00:18:26.100 ⇒ 00:18:35.400 Annie Yu: I might be wrong, but the at least the dashboards I’m taking over now are all on Meta base instead of tableau.
171 00:18:36.750 ⇒ 00:18:40.612 Mariane Cequina: Yeah, I’m not really. I’m not also sure of that. So I’ll ask him about
172 00:18:41.330 ⇒ 00:18:44.550 Patrik: Yeah, it’s probably like a per by by client as well. So
173 00:18:44.550 ⇒ 00:18:59.989 Mariane Cequina: Yeah. So I was actually thinking, it’s actually based on the client as well. Yeah. So for the linear. So before we use notion. So it’s much easier to tell like this or the task that you need today. But for now we are migrating in linear, so they will be the one who are assigned
174 00:19:00.120 ⇒ 00:19:04.759 Mariane Cequina: you with that and onboard you and help you how to use linear. So are you familiar with linear, though.
175 00:19:05.210 ⇒ 00:19:07.029 Mariane Cequina: But it’s actually straightforward
176 00:19:07.030 ⇒ 00:19:09.500 Patrik: Yeah, I, I use, I use linear my current.
177 00:19:09.950 ⇒ 00:19:10.880 Patrik: So, okay.
178 00:19:11.430 ⇒ 00:19:12.660 Mariane Cequina: Okay, cool.
179 00:19:12.890 ⇒ 00:19:17.070 Mariane Cequina: So I think that’s it. I’ll be sending you an invite in Github.
180 00:19:17.390 ⇒ 00:19:20.399 Mariane Cequina: I mean in gusto for payment.
181 00:19:21.060 ⇒ 00:19:25.570 Patrik: I think that’s the last, the last piece on my end at least.
182 00:19:26.460 ⇒ 00:19:35.728 Annie Yu: I did have one more question about clockify. So I’m I’m starting like these 2 weeks as a a part Timer,
183 00:19:37.110 ⇒ 00:19:41.280 Annie Yu: and I know that our agreement was 20 HA week.
184 00:19:41.630 ⇒ 00:19:48.170 Annie Yu: and I think the same question as a part timer and like full timer, do we always try to, I guess.
185 00:19:48.570 ⇒ 00:19:54.000 Annie Yu: Stay on the 20 h versus also, like the 40 h for for full time
186 00:19:55.290 ⇒ 00:19:58.060 Mariane Cequina: Over time is that
187 00:19:58.420 ⇒ 00:19:58.890 Annie Yu: The.
188 00:19:58.890 ⇒ 00:20:01.639 Mariane Cequina: No, actually, yeah, is that
189 00:20:01.800 ⇒ 00:20:11.119 Mariane Cequina: I might be wrong. So I will confirm with them first.st But the reason why we’re using clockify to ensure that if you you’ll be having like an overtime, you can actually put it there
190 00:20:11.930 ⇒ 00:20:12.900 Annie Yu: Got it. Got it
191 00:20:12.900 ⇒ 00:20:13.420 Mariane Cequina: Yeah.
192 00:20:14.050 ⇒ 00:20:17.449 Patrik: I think it’s probably just like a like a target.
193 00:20:17.580 ⇒ 00:20:22.940 Patrik: Oh, so like if you go a little more, a little less like, you know.
194 00:20:22.940 ⇒ 00:20:23.890 Mariane Cequina: Yeah.
195 00:20:23.890 ⇒ 00:20:24.340 Patrik: So.
196 00:20:24.340 ⇒ 00:20:24.780 Mariane Cequina: Yeah.
197 00:20:24.780 ⇒ 00:20:29.327 Patrik: I think I think what’s more important is getting getting the work done or wrapping up the project
198 00:20:29.580 ⇒ 00:20:30.650 Mariane Cequina: Yeah, definitely.
199 00:20:30.650 ⇒ 00:20:34.060 Annie Yu: Makes sense all right good deal
200 00:20:34.420 ⇒ 00:20:35.140 Mariane Cequina: Okay?
201 00:20:35.290 ⇒ 00:20:43.550 Mariane Cequina: So any more questions. And if you have any questions about operations, let us know. Like, for example, if in the slack channel whatever.
202 00:20:43.720 ⇒ 00:20:46.999 Mariane Cequina: So yeah, you can PIN us either me or Nico
203 00:20:48.000 ⇒ 00:20:50.909 Patrik: Perfect. Yeah, you guys have been super helpful. So thank you.
204 00:20:51.620 ⇒ 00:20:52.440 Mariane Cequina: Okay.
205 00:20:52.630 ⇒ 00:20:53.939 Annie Yu: Thank you so much
206 00:20:54.190 ⇒ 00:20:59.120 Mariane Cequina: Okay, I think that’s it. Thank you. And welcome again. Patrick and Annie, yeah, have a great weekend
207 00:20:59.480 ⇒ 00:21:00.509 Patrik: Alright. You, too. Yeah.
208 00:21:01.140 ⇒ 00:21:01.920 Mariane Cequina: Thank you.