Meeting Title: ABC and Eden Weekly Planning Date: 2025-07-21 Meeting participants: Awaish Kumar, Amber Lin, Hannah Wang, Uttam Kumaran
WEBVTT
1 00:00:31.190 ⇒ 00:00:32.580 Amber Lin: Hi! There!
2 00:00:34.950 ⇒ 00:00:35.680 Awaish Kumar: Hello!
3 00:00:36.090 ⇒ 00:00:37.340 Hannah Wang: Hello!
4 00:00:38.390 ⇒ 00:00:42.580 Amber Lin: I don’t know where Robert or Utam is.
5 00:00:44.970 ⇒ 00:00:50.670 Hannah Wang: I think Robert’s in a lot of in person stuff. He’s still in.
6 00:00:51.710 ⇒ 00:00:52.750 Amber Lin: That’s true!
7 00:00:56.100 ⇒ 00:00:59.040 Hannah Wang: But John’s probably running late. You can ping him.
8 00:00:59.620 ⇒ 00:01:00.520 Amber Lin: Okay.
9 00:01:01.490 ⇒ 00:01:02.990 Hannah Wang: Well, I do help!
10 00:01:02.990 ⇒ 00:01:08.460 Amber Lin: Can you help ping him? I am walking back home. I need to go back home to be.
11 00:01:08.460 ⇒ 00:01:09.090 Hannah Wang: Okay.
12 00:01:12.670 ⇒ 00:01:18.210 Amber Lin: How was the mark? How’s the marketing meetings, is it? Do you feel better about it now?
13 00:01:19.400 ⇒ 00:01:24.939 Hannah Wang: I think so, I think, cause the board is a lot smaller. It’s less intimidating. So.
14 00:01:24.940 ⇒ 00:01:33.389 Amber Lin: That’s what I thought, because a lot of like Eden’s board is also massive, and it’s so scary every time, like no, there’s so much stuff to do.
15 00:01:34.240 ⇒ 00:01:38.711 Hannah Wang: Oh, I’ll leave. I feel like the content. Board is still kind of a lot.
16 00:01:39.010 ⇒ 00:01:39.640 Amber Lin: Hmm.
17 00:01:39.640 ⇒ 00:01:40.719 Hannah Wang: So I’m just one.
18 00:01:40.720 ⇒ 00:01:41.460 Amber Lin: I agree.
19 00:01:41.460 ⇒ 00:01:48.174 Hannah Wang: Okay, like, I. I guess that’s 1 of my risks is I constantly worry about his workload.
20 00:01:48.570 ⇒ 00:02:08.840 Amber Lin: I see. Yeah, let’s, I think what we what we can help with is to give estimates to all his tickets, and then we’ll look at the estimates and say, Hey, Ryan, you are taking on 40 points. You don’t even have 80 h in this week should not do that. So we’ll we’ll
21 00:02:09.070 ⇒ 00:02:17.690 Amber Lin: think next time we do grooming we’ll give estimates to his tickets as well. We’ll start with whatever’s in cycle.
22 00:02:18.590 ⇒ 00:02:24.610 Hannah Wang: Yeah. Rico asked if Ryan could point his his tickets so any other.
23 00:02:24.610 ⇒ 00:02:24.960 Amber Lin: Okay.
24 00:02:25.460 ⇒ 00:02:26.100 Hannah Wang: Yeah.
25 00:02:26.100 ⇒ 00:02:34.970 Amber Lin: Okay, yeah, we have grooming this week. I probably can’t be there unless we pick a different day.
26 00:02:38.160 ⇒ 00:02:41.360 Hannah Wang: That’s fine, or I don’t mind moving it.
27 00:02:41.360 ⇒ 00:02:41.810 Amber Lin: Okay.
28 00:02:41.810 ⇒ 00:02:42.440 Uttam Kumaran: Yes.
29 00:02:43.300 ⇒ 00:02:44.120 Amber Lin: Bye.
30 00:02:44.260 ⇒ 00:02:55.209 Amber Lin: we were just talking about the marketing team and the current state. Maybe Thursday, if you can ask him to move it Thursday, I can. I can join, and I can help with grooming.
31 00:02:55.900 ⇒ 00:02:59.079 Hannah Wang: Okay, let me let me ping rico.
32 00:02:59.370 ⇒ 00:03:00.080 Amber Lin: Okay?
33 00:03:01.380 ⇒ 00:03:06.687 Amber Lin: Yeah. Cause I would love to look at the points Ryan’s doing.
34 00:03:10.810 ⇒ 00:03:21.800 Amber Lin: There’s that anything, any current risk? Wish that you’re you’re seeing happening. How how do you feel?
35 00:03:22.550 ⇒ 00:03:23.583 Awaish Kumar: Yeah, like,
36 00:03:25.440 ⇒ 00:03:26.479 Amber Lin: I don’t.
37 00:03:26.720 ⇒ 00:03:34.860 Awaish Kumar: See the risk. But just an update like Luke is off on the ABC. I’m taking some of his work, as you know.
38 00:03:35.000 ⇒ 00:03:43.510 Awaish Kumar: and on the Eden side, like we are working on some of the stuff from segment.
39 00:03:43.740 ⇒ 00:03:47.109 Awaish Kumar: That’s kind of that’s new. We are trying to.
40 00:03:47.510 ⇒ 00:03:53.860 Awaish Kumar: I’m trying to figure it out, and in the kind of help Robert.
41 00:03:54.170 ⇒ 00:03:55.898 Amber Lin: Set up the connectors
42 00:03:56.740 ⇒ 00:04:06.140 Awaish Kumar: Along with Henry. So that’s not apart from that, I
43 00:04:06.780 ⇒ 00:04:13.050 Awaish Kumar: think. Like, Oh, yeah, Rico has sent an email for the interview like with a mask today.
44 00:04:14.234 ⇒ 00:04:17.695 Awaish Kumar: Like, yeah, I will be doing that. And then
45 00:04:18.660 ⇒ 00:04:19.820 Uttam Kumaran: Cool.
46 00:04:20.110 ⇒ 00:04:28.370 Awaish Kumar: For the interns like that’s like close. So we do have some pending work from there, like some of them.
47 00:04:28.770 ⇒ 00:04:30.380 Awaish Kumar: and things like that.
48 00:04:30.500 ⇒ 00:04:31.030 Awaish Kumar: So.
49 00:04:31.780 ⇒ 00:04:39.219 Awaish Kumar: Sure, if we want to move those out to the it or data, you’ll just want to keep it in the same project in linear.
50 00:04:41.937 ⇒ 00:04:52.339 Amber Lin: Do we still plan to do? I I guess we can talk about each of them one by one, for the intern team tasks. Are we still doing them, or we moving up to backlog?
51 00:04:52.770 ⇒ 00:04:53.809 Amber Lin: For now.
52 00:04:53.810 ⇒ 00:04:57.317 Uttam Kumaran: We’ll probably move it to backlog. I mean, I kind of I’m
53 00:04:58.120 ⇒ 00:05:03.339 Uttam Kumaran: I may ask Annie for some more time.
54 00:05:03.600 ⇒ 00:05:04.770 Amber Lin: To help me.
55 00:05:08.020 ⇒ 00:05:09.380 Uttam Kumaran: And then just kind of we can.
56 00:05:10.230 ⇒ 00:05:10.760 Awaish Kumar: Some of those.
57 00:05:10.760 ⇒ 00:05:11.480 Awaish Kumar: Yeah, huh?
58 00:05:13.170 ⇒ 00:05:20.170 Awaish Kumar: All the marketing us are like getting Linkedin data engagement. I’m not sure how important they are.
59 00:05:20.170 ⇒ 00:05:22.409 Uttam Kumaran: Stuff I’ll take on with the AI team.
60 00:05:22.640 ⇒ 00:05:27.169 Uttam Kumaran: I guess more of like the operating clockify related analytics.
61 00:05:27.770 ⇒ 00:05:28.240 Amber Lin: Okay.
62 00:05:28.240 ⇒ 00:05:29.410 Uttam Kumaran: That one.
63 00:05:30.340 ⇒ 00:05:34.929 Uttam Kumaran: It’s probably something I want to work with Annie on, but it’s those both of those aren’t like.
64 00:05:35.270 ⇒ 00:05:36.520 Uttam Kumaran: do or die.
65 00:05:37.080 ⇒ 00:05:37.590 Amber Lin: Hmm.
66 00:05:37.590 ⇒ 00:05:39.610 Uttam Kumaran: Like, yeah.
67 00:05:40.270 ⇒ 00:05:43.170 Amber Lin: Okay, give me 30 seconds. I’m in an elevator.
68 00:05:43.650 ⇒ 00:05:47.059 Uttam Kumaran: You’re good. You’re good. Yeah. I don’t think I wish either of those are like.
69 00:05:47.630 ⇒ 00:05:49.229 Uttam Kumaran: do we have to do it
70 00:05:49.760 ⇒ 00:05:52.460 Uttam Kumaran: like they were intern projects for a reason. So
71 00:05:53.320 ⇒ 00:05:58.800 Uttam Kumaran: I’m okay with that. Yeah, we could just move every. Let’s just move it. Move everything either to data platform
72 00:05:59.140 ⇒ 00:06:03.269 Uttam Kumaran: or to the AI team. If it’s related to the marketing analytics.
73 00:06:05.150 ⇒ 00:06:06.330 Awaish Kumar: Okay. Yeah.
74 00:06:10.030 ⇒ 00:06:35.460 Amber Lin: So sent that in the chat. The other one. Yeah. For Eden. I I also feel that I’ve been trying to take on more. Pm. For that. I’ve been running. Stand ups now and think I just need some time with Robert, cause he’s very busy doing in person stuff and it’s a bit hard to
75 00:06:36.010 ⇒ 00:06:39.629 Amber Lin: get all of it handed off like today
76 00:06:40.070 ⇒ 00:06:50.739 Amber Lin: for the planning meeting. I know he wasn’t wasn’t able to make it to the planning meeting, and so the only thing I could do is to run it like a stand up. So I think
77 00:06:51.430 ⇒ 00:06:58.350 Amber Lin: the risk there is that I would need more of his time to get the Pm. Stuff set up, but once we do.
78 00:06:58.750 ⇒ 00:07:03.539 Amber Lin: it’ll probably run more smoothly, and I asked him today
79 00:07:04.000 ⇒ 00:07:13.800 Amber Lin: why, we have a weekly planning meeting, and I think the Eden team’s requirements changes pretty fast, so we might end up running a
80 00:07:14.430 ⇒ 00:07:20.180 Amber Lin: one week sprint instead of 2 weeks, because right now the Eden Board is just way too big
81 00:07:20.380 ⇒ 00:07:23.240 Amber Lin: for people to concentrate.
82 00:07:24.070 ⇒ 00:07:26.120 Amber Lin: So that’s I would probably pardon me.
83 00:07:26.120 ⇒ 00:07:26.690 Amber Lin: Don’t need it.
84 00:07:26.690 ⇒ 00:07:28.590 Uttam Kumaran: Speak as much as you can.
85 00:07:30.400 ⇒ 00:07:47.020 Amber Lin: I want to, but it seems like every every week requirements change, and the client wants to work on different projects. So you wanted to have a every week to have a planning meeting with the clients.
86 00:07:47.410 ⇒ 00:07:52.250 Amber Lin: So if that’s the case, I don’t see why we should do a 2 week board.
87 00:07:55.380 ⇒ 00:08:00.680 Amber Lin: But tell, let me know what you think, and what’s the pros and cons of each.
88 00:08:02.160 ⇒ 00:08:07.800 Uttam Kumaran: Yeah, the con is that it’s like a scramble every week because
89 00:08:08.920 ⇒ 00:08:13.730 Uttam Kumaran: you have to do so much legwork as a Pm. Like, you’ll never get ahead.
90 00:08:16.190 ⇒ 00:08:20.970 Uttam Kumaran: Like for the AI team. The reason I do a week is because it’s like
91 00:08:21.840 ⇒ 00:08:25.349 Uttam Kumaran: I would say, it’s like 70% ad hoc work
92 00:08:25.580 ⇒ 00:08:28.899 Uttam Kumaran: like, Oh, wait! She’s eaten like 70% ad hoc.
93 00:08:31.060 ⇒ 00:08:38.490 Awaish Kumar: It’s like for the Eden. It’s like mix of all
94 00:08:38.799 ⇒ 00:08:46.380 Awaish Kumar: a lot of ad hoc. But there is a lot of like projects as well.
95 00:08:47.130 ⇒ 00:08:51.850 Awaish Kumar: like continuous projects. So, but the the requirements
96 00:08:51.990 ⇒ 00:08:56.380 Awaish Kumar: are really like some time marketing team
97 00:08:56.490 ⇒ 00:09:01.559 Awaish Kumar: comes up with something, and that’s really important for for that week and next week, like
98 00:09:02.072 ⇒ 00:09:09.900 Awaish Kumar: For other team like that’s given, given a priority, like by Josh. And he says, Okay, like, let’s get request from
99 00:09:10.300 ⇒ 00:09:19.530 Awaish Kumar: so marketing this week, and like they are, they need your help. And the next week he comes with, okay, another team needs your help. So like, give
100 00:09:19.860 ⇒ 00:09:24.960 Awaish Kumar: give, like the request from that team, the highest priority priorities.
101 00:09:24.960 ⇒ 00:09:29.649 Amber Lin: Yeah. So our focus shifts is what I gathered.
102 00:09:33.690 ⇒ 00:09:34.550 Uttam Kumaran: Hmm.
103 00:09:34.550 ⇒ 00:09:35.140 Awaish Kumar: Okay.
104 00:09:37.220 ⇒ 00:09:45.530 Amber Lin: I can run an experiment like I can run. I can just run 2 weeks on a 1 week sprint. It doesn’t work. I’ll go back with more
105 00:09:46.215 ⇒ 00:09:49.249 Amber Lin: valid evidence that it doesn’t work.
106 00:09:49.440 ⇒ 00:09:53.400 Amber Lin: so I’ll just try. I don’t think there’s.
107 00:09:53.570 ⇒ 00:09:54.120 Uttam Kumaran: Much, for.
108 00:09:54.120 ⇒ 00:09:54.740 Amber Lin: Losing my.
109 00:09:54.740 ⇒ 00:09:58.151 Uttam Kumaran: No, if it is one week, then I would
110 00:10:00.550 ⇒ 00:10:03.200 Amber Lin: And I still would do every 2 weeks grooming.
111 00:10:04.460 ⇒ 00:10:06.659 Amber Lin: I just don’t need that much grooming sessions.
112 00:10:07.660 ⇒ 00:10:13.899 Awaish Kumar: Yeah, I would like the the projects of Eden and and Eden as a client itself is very big.
113 00:10:14.110 ⇒ 00:10:16.710 Awaish Kumar: and at least we should have like
114 00:10:17.050 ⇒ 00:10:22.510 Awaish Kumar: 2 week roadmap for that, like we, we have enough to do in 2 weeks.
115 00:10:23.220 ⇒ 00:10:24.660 Amber Lin: We could plan on.
116 00:10:26.303 ⇒ 00:10:27.649 Amber Lin: I see
117 00:10:35.740 ⇒ 00:10:38.249 Amber Lin: does it? I guess my point
118 00:10:38.730 ⇒ 00:10:47.810 Amber Lin: there then, is, if the requirements keep changing, do we still plan out 2 weeks, or do we just plan out a general roadmap
119 00:10:48.150 ⇒ 00:10:51.089 Amber Lin: and just take things in and out.
120 00:10:51.090 ⇒ 00:10:54.780 Awaish Kumar: For the Idn. There’s 1 challenge like
121 00:10:55.249 ⇒ 00:11:09.930 Awaish Kumar: we can plan on 2 weeks sprint. But the problem is, there’s also the adopt request coming in which gets high which get higher priority. So like we in our sprint, we have to take care of that, like maybe 20
122 00:11:09.930 ⇒ 00:11:14.340 Awaish Kumar: 2% of over time or 30% of our time going to a Doc, 70%.
123 00:11:14.340 ⇒ 00:11:18.089 Awaish Kumar: Okay, like something like that.
124 00:11:20.240 ⇒ 00:11:26.759 Amber Lin: Okay, okay, I, I see that noted, I will take that
125 00:11:27.441 ⇒ 00:11:37.419 Amber Lin: because, we probably still need to do weekly planning, I’ll try if we can do 2 weeks rents and then adjust as needed just the current Eden boy, just massive.
126 00:11:38.500 ⇒ 00:12:03.230 Amber Lin: that’s all. But we’ll we’ll address thanks for helping me discuss, and on ABC. I think Luke’s task. Most of it. I can wait for Luke to come back. The urgent ones which I’ll ask you to cover. And I know Utam, I just I think I saw a notification on you saying you’re gonna take Kyle’s task. So I haven’t looked into that note that note yet.
127 00:12:03.230 ⇒ 00:12:04.910 Uttam Kumaran: And stuff. Yeah, so yeah, okay.
128 00:12:04.910 ⇒ 00:12:12.080 Uttam Kumaran: anything on just anything remaining on deprecation. Just give to me. And I’ll just okay. Okay, okay.
129 00:12:12.080 ⇒ 00:12:14.200 Uttam Kumaran: don’t want to talk about deprecation anymore.
130 00:12:14.200 ⇒ 00:12:16.247 Amber Lin: Okay, okay, valid. Agreed.
131 00:12:18.830 ⇒ 00:12:25.550 Uttam Kumaran: I I also I had a I also had a really good conversation with demalade just now.
132 00:12:25.700 ⇒ 00:12:26.710 Uttam Kumaran: Okay.
133 00:12:26.710 ⇒ 00:12:27.540 Amber Lin: That’s good.
134 00:12:27.860 ⇒ 00:12:32.009 Uttam Kumaran: So I think he’s still really motivated. I think he has capacity to take on
135 00:12:32.380 ⇒ 00:12:37.560 Uttam Kumaran: almost like a solution architect thing, so I may bring him along with me to one of these new clients.
136 00:12:37.560 ⇒ 00:12:38.060 Amber Lin: Okay.
137 00:12:38.060 ⇒ 00:12:40.019 Uttam Kumaran: To sort of just work alongside me.
138 00:12:40.390 ⇒ 00:12:45.560 Amber Lin: Yeah, I’m glad to hear that it will help train him to tech lead better, too.
139 00:12:46.590 ⇒ 00:12:52.010 Amber Lin: and then eventually he’ll be able to take on this technical design document stuff in the future.
140 00:12:53.980 ⇒ 00:12:55.429 Amber Lin: Okay, exciting, I agree.
141 00:12:55.750 ⇒ 00:13:03.889 Amber Lin: Exciting. Abc met with a Yvette earlier today and then met with mechanical to sync
142 00:13:04.395 ⇒ 00:13:07.540 Amber Lin: to update them on the roadmap and let them know what
143 00:13:07.720 ⇒ 00:13:31.070 Amber Lin: meeting cadences and items I need from them. So I think that’s on track. Yvette was talking about the transcript stuff, and how she wants to do it. But Tim is very slow. Every week I talk about Tim. She talks about Tim. Tim doesn’t give us, so there’s nothing we could do but everybody knows Matt knows Steven knows Yvette knows.
144 00:13:31.070 ⇒ 00:13:32.100 Uttam Kumaran: That’s it. Yeah.
145 00:13:32.100 ⇒ 00:13:39.710 Amber Lin: So that’s it. Yeah, yeah, that’s that’s on the ABC side.
146 00:13:39.890 ⇒ 00:13:47.170 Amber Lin: My like, I really had no time to think today. So if something comes up I’ll send it in our channel.
147 00:13:50.638 ⇒ 00:13:55.500 Amber Lin: Oh, I need to set up setup default.
148 00:13:56.210 ⇒ 00:13:57.700 Amber Lin: Think I am.
149 00:13:58.380 ⇒ 00:13:59.060 Awaish Kumar: We
150 00:13:59.734 ⇒ 00:14:08.950 Awaish Kumar: like that that the architecture they were discussing with them like is is that something we are going to implement or like their engineering.
151 00:14:08.950 ⇒ 00:14:18.130 Uttam Kumaran: No, they’re gonna they’re gonna implement. But they just have like feedback for us. They just they just actually just want our like feedback on the implementation.
152 00:14:18.250 ⇒ 00:14:26.340 Uttam Kumaran: So I had a I had a I had a call with them on Friday as well awaish like worth worth watching.
153 00:14:26.982 ⇒ 00:14:32.199 Uttam Kumaran: Where we went to. They’re they’re debating like, where to use click house, whether they do. You know.
154 00:14:32.200 ⇒ 00:14:34.650 Uttam Kumaran: Postgres, instance, for the product?
155 00:14:36.177 ⇒ 00:14:39.889 Uttam Kumaran: But maybe we should do a meeting, and I can kind of walk you through
156 00:14:40.610 ⇒ 00:14:43.970 Uttam Kumaran: kind of the next steps on my side for that work stream is
157 00:14:44.474 ⇒ 00:14:49.990 Uttam Kumaran: I want to get someone from Click house to help them sort of do some architecture planning
158 00:14:51.620 ⇒ 00:14:54.319 Uttam Kumaran: and then, yeah, generally, I think, like
159 00:14:54.710 ⇒ 00:15:00.059 Uttam Kumaran: it’s kind. It’s like, I think it’s more in like. I think you’ll have a lot more
160 00:15:00.340 ⇒ 00:15:04.939 Uttam Kumaran: commentary that I do. I’ve done some sort of product back end work, but not
161 00:15:05.080 ⇒ 00:15:08.979 Uttam Kumaran: not like a ton. I think you’ll have a lot more contacts, lot more health
162 00:15:09.160 ⇒ 00:15:11.999 Uttam Kumaran: help to be helpful on the data engineering side.
163 00:15:12.100 ⇒ 00:15:13.275 Uttam Kumaran: So
164 00:15:15.650 ⇒ 00:15:37.960 Uttam Kumaran: I guess I’m trying to think like, where where is best to loop you in. So I’m I’ll get us. I’m gonna get us access to their fig jam, and then we can start to go in and put comments in there. Ideally, we’re just base. We’re just basically supporting them. So whether they need to have us to come like, discuss anything, or help us with vendors, or if they want us to do proof of concepts, it’ll be us.
165 00:15:38.780 ⇒ 00:15:39.440 Awaish Kumar: Okay.
166 00:15:40.980 ⇒ 00:15:41.600 Awaish Kumar: Yeah.
167 00:15:42.460 ⇒ 00:15:49.200 Awaish Kumar: I don’t know how much like the the volume they are working with, like the data volume, right.
168 00:15:49.790 ⇒ 00:15:52.410 Uttam Kumaran: I feel like it’s going to end up being pretty high.
169 00:15:52.960 ⇒ 00:15:54.889 Uttam Kumaran: but it’s a good question for them.
170 00:15:58.153 ⇒ 00:15:58.580 Awaish Kumar: You bet.
171 00:15:59.260 ⇒ 00:16:03.650 Awaish Kumar: Architect design without knowing the data volume is.
172 00:16:06.060 ⇒ 00:16:09.129 Awaish Kumar: yeah, we can’t get the best design over.
173 00:16:18.245 ⇒ 00:16:19.770 Awaish Kumar: And yeah, for sure.
174 00:16:21.213 ⇒ 00:16:25.579 Awaish Kumar: And they have this 2 different like.
175 00:16:26.260 ⇒ 00:16:34.189 Awaish Kumar: And and I just I didn’t watch the second one. I will. I’m going to just watch this video and see like how the discussion went along. After that.
176 00:16:34.190 ⇒ 00:16:36.210 Uttam Kumaran: Second one was second. One was good.
177 00:16:36.780 ⇒ 00:16:39.149 Uttam Kumaran: It was a bit complicated, but it was good.
178 00:16:40.040 ⇒ 00:16:42.130 Awaish Kumar: Okay, I’ll watch that, and then I’ll
179 00:16:43.080 ⇒ 00:16:44.630 Awaish Kumar: we’ll ask if I have any.
180 00:16:46.680 ⇒ 00:16:53.509 Amber Lin: Oh, I also I was looking at henry’s schedule. He’s gonna be out of office next week.
181 00:16:53.760 ⇒ 00:17:00.410 Amber Lin: So if there’s any product analytics stuff. I I think it’ll be mainly you, Bhutan.
182 00:17:01.100 ⇒ 00:17:01.810 Uttam Kumaran: Okay.
183 00:17:02.020 ⇒ 00:17:04.480 Amber Lin: Yeah, so just a heads up on that.
184 00:17:04.480 ⇒ 00:17:05.509 Uttam Kumaran: When’s he out.
185 00:17:06.291 ⇒ 00:17:08.750 Amber Lin: I’m checking his schedule. He’s
186 00:17:09.619 ⇒ 00:17:23.132 Amber Lin: this week from Tuesday to Thursday. There’s some blocks he’s out. And then starting from this Friday to essentially next Friday. He’s gonna be out. At least, that’s what he says on his calendar.
187 00:17:24.740 ⇒ 00:17:27.559 Uttam Kumaran: Okay, yeah. I didn’t know that before.
188 00:17:32.030 ⇒ 00:17:35.429 Awaish Kumar: So for the product analytics like the these tools.
189 00:17:35.690 ⇒ 00:17:42.640 Awaish Kumar: we are going to implement the post hog or amplitude, whatever it is right.
190 00:17:43.425 ⇒ 00:17:49.980 Uttam Kumaran: Yes. Well, they already have amplitude. So Henry is going to work on creating some reports with an amplitude.
191 00:17:50.820 ⇒ 00:17:51.470 Awaish Kumar: Okay.
192 00:17:55.230 ⇒ 00:17:55.870 Amber Lin: Hmm.
193 00:18:01.870 ⇒ 00:18:02.875 Amber Lin: Okay,
194 00:18:03.880 ⇒ 00:18:07.189 Awaish Kumar: How was the did you have interview with Vaste? Remember.
195 00:18:08.140 ⇒ 00:18:08.660 Amber Lin: Well, who?
196 00:18:08.660 ⇒ 00:18:10.970 Uttam Kumaran: I did. Oh, sorry, Amber’s how much
197 00:18:10.970 ⇒ 00:18:12.880 Uttam Kumaran: I think this this week. Yeah.
198 00:18:13.230 ⇒ 00:18:13.960 Amber Lin: Me.
199 00:18:14.950 ⇒ 00:18:20.320 Amber Lin: I don’t see it on my calendar yet. Let me check.
200 00:18:20.810 ⇒ 00:18:25.089 Amber Lin: No, I don’t see a placeholder. I don’t think he’s booked it yet. Probably should.
201 00:18:25.090 ⇒ 00:18:27.499 Uttam Kumaran: He said. July 23rd at 12, Eastern.
202 00:18:28.300 ⇒ 00:18:32.070 Amber Lin: What? July 23rd with me?
203 00:18:32.740 ⇒ 00:18:34.580 Amber Lin: 12 Eastern.
204 00:18:35.190 ⇒ 00:18:36.530 Amber Lin: I don’t see it.
205 00:18:36.530 ⇒ 00:18:37.570 Uttam Kumaran: 9 Am.
206 00:18:38.160 ⇒ 00:18:41.860 Amber Lin: 9 am my time. I don’t see that.
207 00:18:42.250 ⇒ 00:18:43.969 Amber Lin: July 23.rd
208 00:18:44.420 ⇒ 00:18:49.450 Amber Lin: Nope, let me go. Check Gmail.
209 00:18:49.810 ⇒ 00:18:53.340 Awaish Kumar: July 23, rd 12 Pm. Eastern couldn’t.
210 00:18:53.340 ⇒ 00:18:58.639 Amber Lin: 12. Yeah. 12 pm. Eastern is my 9, Am. I don’t see it yet. What’s his name?
211 00:18:59.730 ⇒ 00:19:02.560 Uttam Kumaran: Vashtev, VASH DEV.
212 00:19:03.080 ⇒ 00:19:06.580 Amber Lin: VAS.
213 00:19:07.780 ⇒ 00:19:09.210 Amber Lin: Oh, hmm!
214 00:19:10.500 ⇒ 00:19:13.969 Amber Lin: Interesting. Don’t see it yet.
215 00:19:15.180 ⇒ 00:19:16.969 Amber Lin: Let me go. Message him.
216 00:19:27.240 ⇒ 00:19:31.909 Amber Lin: Yeah, if he doesn’t. If it’s not on my calendar. I’m just gonna grab a time.
217 00:19:32.100 ⇒ 00:19:33.649 Amber Lin: Just send him an invite.
218 00:19:33.650 ⇒ 00:19:36.320 Uttam Kumaran: He was good, he was good. I feel I have a good feeling.
219 00:19:36.730 ⇒ 00:19:37.580 Amber Lin: Okay?
220 00:19:38.522 ⇒ 00:19:44.040 Amber Lin: Do we do a sorry. Did we do a screening interview with him?
221 00:19:44.040 ⇒ 00:19:50.870 Uttam Kumaran: I did. I did. Yeah, but did I put stuff somewhere? I don’t know.
222 00:19:53.080 ⇒ 00:19:54.409 Uttam Kumaran: Oh, yeah, I did.
223 00:19:54.910 ⇒ 00:19:56.190 Amber Lin: Oh, great. Okay.
224 00:19:56.540 ⇒ 00:20:01.090 Uttam Kumaran: Yeah, it’s in I did. I wrote some stuff in in notion.
225 00:20:01.370 ⇒ 00:20:02.170 Uttam Kumaran: Cool.
226 00:20:02.920 ⇒ 00:20:03.630 Uttam Kumaran: Let’s go.
227 00:20:03.630 ⇒ 00:20:07.559 Amber Lin: Were you? Were you mainly selling to him? Do I need to do the screening.
228 00:20:07.560 ⇒ 00:20:10.870 Uttam Kumaran: No, no, I I did the screening. I did a legit screening.
229 00:20:10.870 ⇒ 00:20:15.080 Amber Lin: Oh, yay, then what am I? What am I talking to him for?
230 00:20:16.370 ⇒ 00:20:17.289 Amber Lin: Because you guys.
231 00:20:17.290 ⇒ 00:20:22.970 Uttam Kumaran: You gotta. Also, you gotta also ask him whether he’s good or not. He’s gonna be working with you.
232 00:20:23.270 ⇒ 00:20:25.049 Amber Lin: Okay. Okay.
233 00:20:25.050 ⇒ 00:20:33.880 Uttam Kumaran: I I think we should typically do 2. Well, I think we typically, I’m thinking we do 3 interviews. But away it’s a referral from a waste. So it’s kind of already, like.
234 00:20:34.360 ⇒ 00:20:37.700 Uttam Kumaran: I mean, I don’t know. Why should we kind of know him technically, but.
235 00:20:38.430 ⇒ 00:20:42.270 Awaish Kumar: Okay, he’s my class fellow. We studied together.
236 00:20:42.270 ⇒ 00:20:42.730 Amber Lin: Hmm.
237 00:20:42.860 ⇒ 00:20:46.089 Awaish Kumar: I know him since, like 2,013.
238 00:20:46.680 ⇒ 00:20:47.110 Amber Lin: Wow!
239 00:20:47.110 ⇒ 00:20:50.510 Uttam Kumaran: Yeah, he, he seems like pretty technically strong. But.
240 00:20:51.720 ⇒ 00:20:56.509 Awaish Kumar: I just like I can’t. I don’t want to hire him, and then he doesn’t. You don’t vibe with him so.
241 00:20:57.180 ⇒ 00:21:02.360 Uttam Kumaran: We, we should think about what a second interview thing is. But
242 00:21:03.480 ⇒ 00:21:13.309 Awaish Kumar: Yeah, he’s technically good. We like, that’s what I can say. But yeah, I haven’t worked alongside him in the same company. So I don’t.
243 00:21:13.500 ⇒ 00:21:14.690 Awaish Kumar: I’m not sure about that.
244 00:21:14.690 ⇒ 00:21:15.580 Amber Lin: Huh!
245 00:21:15.580 ⇒ 00:21:18.519 Awaish Kumar: The working pattern, but I know is technically good.
246 00:21:19.895 ⇒ 00:21:22.330 Amber Lin: Okay, so
247 00:21:23.540 ⇒ 00:21:34.789 Amber Lin: what I can ask him cause if you did screening. So I will just ask him about his past companies and his past experiences to try and get a sense of
248 00:21:35.040 ⇒ 00:21:38.159 Amber Lin: what he does.
249 00:21:39.150 ⇒ 00:21:45.740 Amber Lin: 12 pm. Est. Okay. 1, 2, 3, 12. Pm.
250 00:21:46.210 ⇒ 00:21:51.990 Amber Lin: Okay, alright.
251 00:21:54.300 ⇒ 00:21:59.430 Uttam Kumaran: And then I just haven’t heard back from Sam. I’m talking to like 2 more Pm’s.
252 00:21:59.740 ⇒ 00:22:04.037 Uttam Kumaran: This week. I have a bunch of people, my Linkedin. I need to talk to
253 00:22:07.570 ⇒ 00:22:12.090 Uttam Kumaran: What else? So Sid is doing? Well, I feel like she’s
254 00:22:12.220 ⇒ 00:22:14.261 Uttam Kumaran: yeah. That stuff’s going well,
255 00:22:14.670 ⇒ 00:22:15.529 Amber Lin: All right.
256 00:22:17.130 ⇒ 00:22:17.650 Amber Lin: Good.
257 00:22:20.130 ⇒ 00:22:22.999 Uttam Kumaran: We are still waiting on like.
258 00:22:24.320 ⇒ 00:22:27.490 Uttam Kumaran: 50, 40, grand from late payments.
259 00:22:28.350 ⇒ 00:22:28.980 Amber Lin: Oh!
260 00:22:28.980 ⇒ 00:22:37.090 Uttam Kumaran: So I’m sort of just counting down how fast I can get it. But, like Rico is, Rico is the best ever like
261 00:22:37.260 ⇒ 00:22:38.980 Uttam Kumaran: literally could not have done.
262 00:22:39.270 ⇒ 00:22:42.970 Uttam Kumaran: Yeah, just so happy to have him on the team. He’s helping down a lot.
263 00:22:43.360 ⇒ 00:22:43.680 Amber Lin: Okay.
264 00:22:43.680 ⇒ 00:22:44.580 Uttam Kumaran: Not a lot
265 00:22:46.680 ⇒ 00:22:51.160 Uttam Kumaran: trying to look at my calendar and see what else. So I’m gonna be pitching fan steak at 5.
266 00:22:51.360 ⇒ 00:22:51.790 Amber Lin: Okay.
267 00:22:52.185 ⇒ 00:22:54.560 Uttam Kumaran: My time. So that’s gonna be
268 00:22:54.760 ⇒ 00:22:58.660 Uttam Kumaran: that’s pretty good. Annie helped me out with that. So that was really good.
269 00:23:00.520 ⇒ 00:23:01.320 Amber Lin: Great.
270 00:23:01.550 ⇒ 00:23:05.693 Uttam Kumaran: And then I have
271 00:23:08.120 ⇒ 00:23:10.130 Uttam Kumaran: Let’s see.
272 00:23:14.220 ⇒ 00:23:22.659 Uttam Kumaran: Yeah, I’m I’m excited to kind of for the allocations meeting tomorrow, and then, just to keep cruising on clients. I I the Fan state closes.
273 00:23:22.940 ⇒ 00:23:30.779 Uttam Kumaran: Then I’m gonna really be kind of booked up until we get the get another pm, but it’s fine, like. If answer closes, we will have added about.
274 00:23:31.790 ⇒ 00:23:36.249 Uttam Kumaran: we will add a you know, about like 30 K. In revenue month, so that’ll be good.
275 00:23:36.250 ⇒ 00:23:36.900 Amber Lin: Okay.
276 00:23:38.010 ⇒ 00:23:42.079 Amber Lin: Okay. I know I’m getting close to capacity. I have this.
277 00:23:42.080 ⇒ 00:23:42.440 Uttam Kumaran: Yeah.
278 00:23:42.440 ⇒ 00:23:45.290 Amber Lin: I know Robert wants me on insomnia.
279 00:23:45.500 ⇒ 00:23:46.010 Amber Lin: Yeah.
280 00:23:46.010 ⇒ 00:23:52.840 Uttam Kumaran: Yeah. So I’m gonna just probably pause on like doing sales stuff for a bit. Or I’ll
281 00:23:53.650 ⇒ 00:23:56.579 Uttam Kumaran: basically just have to double our prices and sort of
282 00:23:57.550 ⇒ 00:24:03.389 Uttam Kumaran: not take more sales stuff until we get the Pm. Because we have insomnia, we have default, we have.
283 00:24:03.750 ⇒ 00:24:06.090 Uttam Kumaran: and then I’m also pitching.
284 00:24:06.840 ⇒ 00:24:11.970 Uttam Kumaran: We have 2 more AI clients that may start interlude.
285 00:24:12.585 ⇒ 00:24:15.330 Uttam Kumaran: I’m gonna have to finish the pitch for Nefco.
286 00:24:16.430 ⇒ 00:24:21.829 Uttam Kumaran: Okay, so I mean a lot like we may potentially have like
287 00:24:21.980 ⇒ 00:24:26.690 Uttam Kumaran: 3 more clients and and potentially 5 or potentially 5.
288 00:24:27.510 ⇒ 00:24:35.279 Uttam Kumaran: So I’ll basically be completely jammed until we get like until we get the Pm.
289 00:24:36.230 ⇒ 00:24:39.520 Uttam Kumaran: Or at least get Sam in the door. So.
290 00:24:40.590 ⇒ 00:24:41.619 Awaish Kumar: Good for the.
291 00:24:41.620 ⇒ 00:24:42.170 Amber Lin: Yeah.
292 00:24:42.830 ⇒ 00:24:48.939 Awaish Kumar: For the Allocation meeting, like the weekly ones like. Normally the monthly one is where we
293 00:24:49.100 ⇒ 00:24:52.919 Awaish Kumar: go over all the hours of every person
294 00:24:53.250 ⇒ 00:24:59.199 Awaish Kumar: in the weekly ones. I’m not sure it’s just adding to the operating right? Or is it something else?
295 00:25:02.750 ⇒ 00:25:10.529 Uttam Kumaran: Yeah, I kind of want just wanted to look at it. Now that now that you guys and Rico, I’ve been looking at it, I know the next week one is the one that’s more important.
296 00:25:11.910 ⇒ 00:25:16.729 Uttam Kumaran: I’m just excited because I know Casey helped with some automations, and I just have some.
297 00:25:16.860 ⇒ 00:25:18.860 Uttam Kumaran: I just kind of want to see progress.
298 00:25:19.240 ⇒ 00:25:20.000 Amber Lin: Hmm.
299 00:25:24.030 ⇒ 00:25:30.039 Awaish Kumar: And yeah, for one more thing on AI side, like, do we wanna go like review the
300 00:25:30.990 ⇒ 00:25:35.039 Awaish Kumar: architecture of our AI projects? You are doing.
301 00:25:36.550 ⇒ 00:25:39.210 Uttam Kumaran: For our internal stuff or external.
302 00:25:41.190 ⇒ 00:25:46.850 Awaish Kumar: Like the internal stuff, but, like that, will give us a general architecture to use.
303 00:25:46.850 ⇒ 00:25:58.680 Uttam Kumaran: Yeah, I mean, this is where, like, I, I’m this guy, Sam. I feel like I’m gonna ask him to sort of try to take over some of that stuff. I don’t think anybody on the current team is like senior enough to
304 00:25:59.420 ⇒ 00:26:06.730 Uttam Kumaran: sort of like be able to do the that type of architecture work, you know, so
305 00:26:07.050 ⇒ 00:26:09.340 Uttam Kumaran: I’m a little bit hesitant to like.
306 00:26:10.230 ⇒ 00:26:11.969 Uttam Kumaran: Have them plan
307 00:26:12.776 ⇒ 00:26:25.239 Uttam Kumaran: and I like I don’t want it to be me or you away. So I want someone else to come in and think about overall AI architecture. The trouble is like, I don’t. I haven’t. Don’t meet people that are doing this type of work.
308 00:26:25.440 ⇒ 00:26:30.120 Uttam Kumaran: So I’m trying to just find smart people
309 00:26:30.590 ⇒ 00:26:32.800 Uttam Kumaran: who have an interest in AI
310 00:26:32.930 ⇒ 00:26:36.430 Uttam Kumaran: or have done some AI stuff to get them into this position.
311 00:26:36.830 ⇒ 00:26:41.390 Uttam Kumaran: Recruiting for the AI stuff is will become our next challenge.
312 00:26:42.320 ⇒ 00:26:43.299 Awaish Kumar: Yeah, I agree.
313 00:26:43.690 ⇒ 00:26:48.919 Awaish Kumar: The latest error we are seeing is is because of we are. We didn’t plan the architecture.
314 00:26:48.920 ⇒ 00:26:51.450 Uttam Kumaran: Yeah, yeah, yeah, I know. Yeah. So
315 00:26:51.640 ⇒ 00:26:55.239 Uttam Kumaran: no, I mean the internal stuff. The nice thing with internal work is like.
316 00:26:55.520 ⇒ 00:26:57.759 Uttam Kumaran: it’s for us. Right. So whatever it doesn’t work.
317 00:26:57.760 ⇒ 00:26:58.280 Awaish Kumar: No.
318 00:26:58.280 ⇒ 00:27:00.162 Uttam Kumaran: But it’s like
319 00:27:00.790 ⇒ 00:27:03.759 Awaish Kumar: That design is like. If some client comes like
320 00:27:03.960 ⇒ 00:27:06.250 Awaish Kumar: we are going to implement same page.
321 00:27:06.250 ⇒ 00:27:08.500 Uttam Kumaran: No, we’re gonna do the same thing. I know. I know.
322 00:27:09.560 ⇒ 00:27:10.389 Uttam Kumaran: I know.
323 00:27:12.380 ⇒ 00:27:20.429 Uttam Kumaran: Yeah, I mean, it’s gotta be you or me or someone else senior on the technical side, right? There’s no one else.
324 00:27:22.250 ⇒ 00:27:23.410 Uttam Kumaran: So
325 00:27:25.670 ⇒ 00:27:30.459 Uttam Kumaran: I mean, one thing we can do is if if we want, you can have them work on technical design docs
326 00:27:30.820 ⇒ 00:27:34.820 Uttam Kumaran: for things, and we can get it reviewed.
327 00:27:39.120 ⇒ 00:27:40.700 Uttam Kumaran: That’s 1 option we have.
328 00:27:45.610 ⇒ 00:27:47.209 Awaish Kumar: Okay, yeah, that’s
329 00:27:51.940 ⇒ 00:27:52.639 Awaish Kumar: who can.
330 00:27:52.640 ⇒ 00:27:57.789 Uttam Kumaran: I think we need. I’m trying to get this AI lead ideally. It’s Sam, so he can come in.
331 00:27:58.000 ⇒ 00:28:01.410 Uttam Kumaran: Think he’ll be. He’ll be. He’ll be really helpful for that.
332 00:28:06.390 ⇒ 00:28:10.322 Uttam Kumaran: Yeah, I mean, overall. Like, if I if I look at
333 00:28:12.220 ⇒ 00:28:17.199 Uttam Kumaran: if I can just share like our, because this is really like what’s on my mind right now.
334 00:28:17.600 ⇒ 00:28:20.642 Uttam Kumaran: I share, like our financial model.
335 00:28:23.260 ⇒ 00:28:28.030 Uttam Kumaran: this is fairly accurate to what we did in June.
336 00:28:28.899 ⇒ 00:28:32.690 Uttam Kumaran: And I actually just got the full financial update from?
337 00:28:33.640 ⇒ 00:28:39.680 Uttam Kumaran: Yeah. So we did about 63, 6, 75, 0, yeah, exactly 63, 6, 75. Okay.
338 00:28:39.680 ⇒ 00:28:40.270 Amber Lin: Hmm.
339 00:28:40.808 ⇒ 00:28:56.199 Uttam Kumaran: Out of that overall we spent roughly 37 grand on just like cost
340 00:28:56.450 ⇒ 00:29:00.120 Uttam Kumaran: for that revenue, and then we roughly
341 00:29:00.994 ⇒ 00:29:04.020 Uttam Kumaran: have about 22 grand in
342 00:29:05.790 ⇒ 00:29:11.470 Uttam Kumaran: In operating expenses we reduced, we reduced
343 00:29:12.270 ⇒ 00:29:21.340 Uttam Kumaran: operating expense a bunch in May, and we try and change some ways that we allocated some stuff. But
344 00:29:21.450 ⇒ 00:29:25.960 Uttam Kumaran: the nice thing is for contract for for operating expenses, not going to go up
345 00:29:26.490 ⇒ 00:29:44.860 Uttam Kumaran: as a it’s gonna go down as a percentage of revenue because we’re not like taking on. We’re not like buying. We don’t have to buy every new client. We’re not buying new software. We’re not like doing anything. The only thing we’re doing is is hiring more people. So that’s 1 thing I’m gonna my next sort of focus is to to try to like, analyze all of our expenses.
346 00:29:45.470 ⇒ 00:29:54.189 Uttam Kumaran: and like make sure. But really the number one place is gonna be the contractor cost. But for this next month. I’m kind of looking. We’re looking almost at
347 00:29:55.070 ⇒ 00:30:03.669 Uttam Kumaran: like, right now we have full parts. We have plan Medicare
348 00:30:04.342 ⇒ 00:30:08.549 Uttam Kumaran: we? I’m not sure yet, like we’ll see about fan stake
349 00:30:10.570 ⇒ 00:30:17.310 Uttam Kumaran: so ideally like. If one of these closes it’ll be.
350 00:30:18.390 ⇒ 00:30:24.840 Uttam Kumaran: It’ll be pretty good and default. I feel like it’s probably gonna end up being
351 00:30:28.340 ⇒ 00:30:34.799 Uttam Kumaran: It’s gonna end up. What is L 9. 0, it’s it’s gonna end up being much higher. So
352 00:30:35.250 ⇒ 00:30:41.389 Uttam Kumaran: we have to close like around 3 more clients for us to get to like the 100 K mark.
353 00:30:43.210 ⇒ 00:30:50.930 Uttam Kumaran: so insomnia like this isn’t Con. This is all like booked revenue like, but if I look at like sort of what our estimation is.
354 00:30:51.530 ⇒ 00:30:58.302 Uttam Kumaran: I feel like we could get towards around like 80 to 90 K this month, and that’s not including any of the
355 00:31:00.420 ⇒ 00:31:04.470 Uttam Kumaran: that’s that’s just not including some of our leads and pipeline. So
356 00:31:06.970 ⇒ 00:31:10.609 Uttam Kumaran: yeah, I think we’ll kind of see what ends up happening.
357 00:31:13.190 ⇒ 00:31:15.289 Uttam Kumaran: I’m really hopeful that we can
358 00:31:17.840 ⇒ 00:31:29.310 Uttam Kumaran: ideally get ABC to the next rung and then get both planned medicare insomnia, and one more.
359 00:31:30.560 ⇒ 00:31:32.640 Uttam Kumaran: You know. I’d like 10 K. And we’ll be good.
360 00:31:49.590 ⇒ 00:31:51.350 Amber Lin: okay.
361 00:31:51.610 ⇒ 00:31:52.280 Uttam Kumaran: Okay.
362 00:31:55.370 ⇒ 00:31:57.269 Uttam Kumaran: Anyone else. Have anything?
363 00:31:58.050 ⇒ 00:31:58.930 Uttam Kumaran: Hannah.
364 00:32:01.280 ⇒ 00:32:03.159 Hannah Wang: Oh, I went before you came.
365 00:32:03.160 ⇒ 00:32:04.439 Uttam Kumaran: Oh, sorry. Okay. Okay.
366 00:32:04.440 ⇒ 00:32:15.859 Hannah Wang: Talked about Ryan and his capacity, and then I think the solution to that is just to estimate all of his tickets, so that we know how much to bring in for the next cycles.
367 00:32:17.260 ⇒ 00:32:18.580 Uttam Kumaran: Yeah, I agree.
368 00:32:20.060 ⇒ 00:32:25.350 Hannah Wang: Cause. I feel like most of the campaign work like it’s a lot of him doing it. So
369 00:32:26.362 ⇒ 00:32:27.970 Hannah Wang: yeah, I just don’t.
370 00:32:27.970 ⇒ 00:32:32.549 Uttam Kumaran: But he’s also take. He’s also taking it on. So I’m like, I don’t know where to.
371 00:32:32.880 ⇒ 00:32:36.470 Uttam Kumaran: I’m like he’s like, I’ll take the recruiting campaign. So I’m like, Okay.
372 00:32:37.000 ⇒ 00:32:41.264 Hannah Wang: He like? Taste everything I feel like. That’s just his personality. So.
373 00:32:41.770 ⇒ 00:32:42.960 Uttam Kumaran: Yeah, that’s true.
374 00:32:45.860 ⇒ 00:32:46.640 Hannah Wang: Yeah.
375 00:32:50.020 ⇒ 00:32:51.739 Hannah Wang: Yeah. Cause yeah, I don’t know.
376 00:32:53.520 ⇒ 00:33:06.693 Hannah Wang: Cause initially, we said Rico could help with the recruiting stuff right? But then I I feel like he’s ramping up to a lot of other things, so I don’t want him to also be at Max capacity.
377 00:33:08.540 ⇒ 00:33:09.310 Uttam Kumaran: Yeah.
378 00:33:09.470 ⇒ 00:33:10.110 Hannah Wang: Yeah.
379 00:33:14.590 ⇒ 00:33:16.600 Hannah Wang: like, I’m wondering if we could.
380 00:33:16.760 ⇒ 00:33:26.869 Hannah Wang: Well, I don’t know if Anne expressed interest. I know she talked to you about like the metric stuff right like she said she was initially interested in that stuff.
381 00:33:28.470 ⇒ 00:33:29.420 Uttam Kumaran: Yeah.
382 00:33:29.420 ⇒ 00:33:30.380 Hannah Wang: One, though.
383 00:33:33.270 ⇒ 00:33:38.719 Uttam Kumaran: Yes, I think Sid or Rico will end up taking stuff off his plate slowly.
384 00:33:39.210 ⇒ 00:33:40.080 Hannah Wang: Okay.
385 00:33:43.131 ⇒ 00:33:50.300 Hannah Wang: Can. I see how much Ann is working like I don’t know where to look? But is she working like
386 00:33:50.930 ⇒ 00:33:56.819 Hannah Wang: she’s part time right, but I think she sometimes works more than I do, so I don’t really know.
387 00:33:57.390 ⇒ 00:34:03.630 Uttam Kumaran: Yeah, I feel like you could go look either in clockify or in operating right?
388 00:34:04.750 ⇒ 00:34:05.770 Hannah Wang: Operating.
389 00:34:05.770 ⇒ 00:34:13.689 Amber Lin: Yeah, if you go look in. If you want actual hours, you can go look in, clockify so under
390 00:34:14.150 ⇒ 00:34:20.569 Amber Lin: reports and then under team. I’ll I’ll send.
391 00:34:21.130 ⇒ 00:34:23.629 Amber Lin: I’ll send a screenshot for you.
392 00:34:24.260 ⇒ 00:34:29.560 Amber Lin: So right here I’ll send it in
393 00:34:32.330 ⇒ 00:34:33.510 Hannah Wang: Just DM me.
394 00:34:33.750 ⇒ 00:34:34.670 Amber Lin: Yeah, okay.
395 00:34:37.230 ⇒ 00:34:39.339 Hannah Wang: Okay. I’ll take a look at that.
396 00:34:39.340 ⇒ 00:34:42.180 Amber Lin: Yeah. And then you can select the timeframe. You want to look.
397 00:34:42.389 ⇒ 00:34:43.149 Hannah Wang: Okay.
398 00:34:53.929 ⇒ 00:34:55.399 Hannah Wang: yeah. It’s all for me.
399 00:34:55.989 ⇒ 00:35:01.879 Uttam Kumaran: Okay, okay, great. Well, I’ll let you know how this pitch goes later.
400 00:35:02.329 ⇒ 00:35:06.279 Uttam Kumaran: and then I’ll be on. I’ll be on to catch up a bunch of stuff today.
401 00:35:06.800 ⇒ 00:35:08.779 Amber Lin: Okay. Sounds good.
402 00:35:09.230 ⇒ 00:35:09.900 Uttam Kumaran: Okay.
403 00:35:09.900 ⇒ 00:35:18.099 Hannah Wang: Working on the fan stake stuff like the timeline ones. But let me know if the other slides. You want me to modify it.
404 00:35:18.100 ⇒ 00:35:21.980 Uttam Kumaran: Yeah, if you can take a look at the other slides, that’s probably what I need help with more.
405 00:35:22.220 ⇒ 00:35:22.779 Hannah Wang: Okay.
406 00:35:24.170 ⇒ 00:35:24.770 Uttam Kumaran: The one.
407 00:35:24.770 ⇒ 00:35:26.490 Hannah Wang: That Annie put together. Yeah.
408 00:35:27.020 ⇒ 00:35:35.480 Hannah Wang: So the the latter slides right? Like, okay, okay, okay.
409 00:35:37.170 ⇒ 00:35:37.840 Uttam Kumaran: Okay.
410 00:35:38.360 ⇒ 00:35:39.410 Uttam Kumaran: Thanks. Everyone.
411 00:35:39.870 ⇒ 00:35:41.140 Amber Lin: Hmm, thanks.
412 00:35:42.260 ⇒ 00:35:42.930 Hannah Wang: Bye.
413 00:35:43.790 ⇒ 00:35:44.890 Amber Lin: Hi.