Meeting Title: Uttam <> Ryan—Proactivity-Huddle Date: 2024-09-10 Meeting participants: Ryan Luke Daque, Ryan Daque, Uttam Kumaran


WEBVTT

1 00:01:51.400 00:01:52.140 Uttam Kumaran: Hey, Ryan.

2 00:02:01.220 00:02:02.790 Ryan Daque: Hello, Tom! How’s it going? Hey?

3 00:02:02.940 00:02:03.920 Uttam Kumaran: Good! How are you?

4 00:02:05.030 00:02:06.280 Ryan Daque: Yeah, doing? Well.

5 00:02:07.230 00:02:09.150 Uttam Kumaran: Nice! How’s the week been.

6 00:02:11.460 00:02:12.830 Ryan Daque: Yeah, just pretty.

7 00:02:15.990 00:02:17.100 Uttam Kumaran: Busy yesterday.

8 00:02:25.530 00:02:28.609 Uttam Kumaran: You’re cutting out a little bit. I don’t know if you’re on. If you’re on mute.

9 00:03:06.010 00:03:06.710 Ryan Luke Daque: Hello!

10 00:03:07.160 00:03:08.019 Uttam Kumaran: Hey? Can you hear me?

11 00:03:08.160 00:03:09.219 Ryan Luke Daque: Yeah. Can you hear me?

12 00:03:09.580 00:03:10.170 Uttam Kumaran: Yes.

13 00:03:10.170 00:03:12.279 Ryan Luke Daque: Oh, there you go! Cool, cool.

14 00:03:12.280 00:03:14.760 Uttam Kumaran: How’s everything? Yeah. You mentioned something by yesterday.

15 00:03:15.840 00:03:21.970 Ryan Luke Daque: Oh, no, I I was like saying it. Just start the week just started. So yeah, still have a lot to do.

16 00:03:22.280 00:03:27.109 Ryan Luke Daque: Yeah. Finally, I’ve been able to like fix that real workflow thing.

17 00:03:27.626 00:03:30.203 Ryan Luke Daque: Took a lot of tests, though. But yeah, it

18 00:03:31.310 00:03:33.660 Ryan Luke Daque: Patrick helped out in terms of like

19 00:03:33.920 00:03:35.130 Ryan Luke Daque: how we can

20 00:03:35.200 00:03:38.339 Ryan Luke Daque: continue with that. So yeah, looks like it should be working.

21 00:03:38.790 00:03:39.270 Uttam Kumaran: Okay, cool.

22 00:03:40.630 00:03:44.269 Uttam Kumaran: nice. What was the issue? I know I implemented it and it wasn’t working. And I was like, Okay.

23 00:03:44.270 00:03:45.270 Ryan Luke Daque: I don’t know.

24 00:03:45.510 00:03:47.449 Ryan Luke Daque: It was like the way it was

25 00:03:48.397 00:03:56.000 Ryan Luke Daque: installing, because, like, when you install rail, it needed like keyboard input to select some stuff.

26 00:03:56.370 00:04:05.030 Ryan Luke Daque: So I I did it differently. I think they had a it’s in the documentation, actually, but it’s in gitlab format. I just had to like

27 00:04:06.000 00:04:08.549 Ryan Luke Daque: Change it to get. Yeah, you know, workflow.

28 00:04:08.750 00:04:09.974 Uttam Kumaran: I think we should.

29 00:04:10.490 00:04:12.230 Uttam Kumaran: we should send that to their team

30 00:04:12.990 00:04:14.159 Uttam Kumaran: and discord.

31 00:04:15.120 00:04:16.640 Ryan Luke Daque: Oh, right? Yeah, yeah.

32 00:04:17.130 00:04:20.490 Ryan Luke Daque: yeah, I I can do that. I’ll I can message them.

33 00:04:20.750 00:04:25.579 Uttam Kumaran: Yeah, see if you can message them in one of the channels and just share that because I think that’ll help them out

34 00:04:25.950 00:04:26.465 Uttam Kumaran: right?

35 00:04:27.030 00:04:32.650 Uttam Kumaran: And we’re I mentioned, we’re starting to like kind of work closer with them. So yeah, I want to help them out where we can.

36 00:04:32.800 00:04:34.000 Ryan Luke Daque: Sure. Yeah.

37 00:04:34.210 00:04:37.550 Ryan Luke Daque: I’ll do that. I’ll I’ll log into discord and message and.

38 00:04:38.300 00:04:38.950 Uttam Kumaran: Okay.

39 00:04:39.400 00:04:46.170 Uttam Kumaran: yeah. Otherwise weeks going really? Well, I think. Well, good. It’s always good and bad.

40 00:04:46.950 00:04:49.140 Uttam Kumaran: I think by

41 00:04:49.290 00:04:54.680 Uttam Kumaran: by Thursday I always am happier than I am. On Monday I realized

42 00:04:56.340 00:04:58.109 Ryan Luke Daque: Well, that’s that’s great. Then.

43 00:04:58.120 00:04:59.300 Ryan Luke Daque: like it’s

44 00:04:59.470 00:05:02.780 Ryan Luke Daque: like it’s better than on Thursday or way

45 00:05:03.070 00:05:03.830 Ryan Luke Daque: worse than.

46 00:05:03.830 00:05:07.410 Uttam Kumaran: No, it used to be like that. It used to be like, Damn! I gotta work this weekend.

47 00:05:07.750 00:05:23.710 Uttam Kumaran: Now it’s like Thursday. Friday is always very positive, and then it’s like Monday is just difficulties. So here’s like kind of I mean, you know me. I’m like, always just trying to be open with everybody here. We’re having a lot of challenges with sirage on the pool parts.

48 00:05:23.710 00:05:26.759 Ryan Luke Daque: Like he was like off the whole week last week. Right? Something. Yeah.

49 00:05:26.760 00:05:35.240 Uttam Kumaran: Yeah, he had some personal issues last week, but then, also, like, I don’t know, the progress hasn’t been great. I don’t feel like the communication has been really good.

50 00:05:35.420 00:05:39.529 Uttam Kumaran: Yeah. So we actually hired him through another agency.

51 00:05:40.049 00:05:49.029 Uttam Kumaran: But then they’re causing some confusion like they told him the wrong amount of hours. And all this nonsense. I’m basically like done with it.

52 00:05:49.130 00:05:51.280 Uttam Kumaran: But here’s kind of like

53 00:05:51.410 00:05:52.710 Uttam Kumaran: my pitch.

54 00:05:53.197 00:05:59.279 Uttam Kumaran: I’m thinking, I mean. And the problem is, we’re kind of going like full circle. But I

55 00:05:59.410 00:06:07.570 Uttam Kumaran: I don’t know. I’m learning a lot through this process about like how we can do this. The here’s like the overarching kind of like theme is basically like.

56 00:06:07.620 00:06:10.100 Uttam Kumaran: I don’t feel like we’ve had

57 00:06:11.620 00:06:14.510 Uttam Kumaran: the ability to hire like great analysts.

58 00:06:14.620 00:06:21.339 Uttam Kumaran: right? And I think maybe you can let me know what you think about that? I’d say I. You know our business is a mix of like

59 00:06:21.360 00:06:26.199 Uttam Kumaran: internal people. Right? That’s like me. Maybe that’s like Miguel.

60 00:06:26.514 00:06:40.715 Uttam Kumaran: But then and that’s like a new role, right? I would say I was the only one before then. You have. You have data engineers like Patrick and Augustine. You have data modelers like you, Brian, Nick. And then you have analysts of which we had, like Jack, we had

61 00:06:41.110 00:06:41.836 Uttam Kumaran: we had

62 00:06:42.200 00:06:42.850 Ryan Luke Daque: Jacob.

63 00:06:42.850 00:06:45.250 Uttam Kumaran: Jacob, we have Siraj.

64 00:06:45.947 00:06:47.319 Uttam Kumaran: right? Just like

65 00:06:47.540 00:06:52.290 Uttam Kumaran: data analysts who for me, a data analyst is someone who’s like basically

66 00:06:52.410 00:07:11.220 Uttam Kumaran: just answers any question the business has and helps them make more decisions. Right? But what does that mean? It means they have to be incredibly aware of like the business context incredibly close to the stakeholders, and unfortunately, none of the things, none of the people I interacted with hit the mark for me for one reason

67 00:07:11.260 00:07:16.209 Uttam Kumaran: or the other, like, I think there were some people that you know had that

68 00:07:16.280 00:07:23.649 Uttam Kumaran: we’re. We’re very personal. But then they never really got into the data model. And so they’re always like sitting at the surface.

69 00:07:23.650 00:07:24.479 Ryan Luke Daque: Some people who were.

70 00:07:24.480 00:07:30.610 Uttam Kumaran: Weren’t as personal, right and like, kept waiting for stuff, but could have produced analysis. We gave them requirements.

71 00:07:30.750 00:07:40.790 Uttam Kumaran: you know, and so I’m just having such a challenge hiring for this analyst position that like, I’m I like, basically I I don’t. I just like can’t

72 00:07:40.820 00:07:41.920 Uttam Kumaran: deal with

73 00:07:42.020 00:07:46.370 Uttam Kumaran: people that are, you know, not doing the quality of the job that we need.

74 00:07:46.630 00:07:49.740 Uttam Kumaran: So kind of like. Here’s my proposal is

75 00:07:49.800 00:07:52.219 Uttam Kumaran: is basically trying to get you

76 00:07:52.596 00:08:03.310 Uttam Kumaran: a little bit more hours. And I I mean, I was gonna ask you already, like, I know, we switched to kind of working half hours. I know you’re kind of you’re you’re you’re on.

77 00:08:03.540 00:08:13.289 Uttam Kumaran: you know, like, many times during the day. So I was just gonna ask you, like, Are you still working 20? Are you working more like honestly, and then I can. I’ll kind of tell you what my proposal is.

78 00:08:13.750 00:08:20.520 Ryan Luke Daque: Yeah, well, ever since, like we’ve been, we’ve talked about that like limiting my hours. I try not to

79 00:08:20.620 00:08:28.700 Ryan Luke Daque: work more than 4 h. Yeah. So yeah, so yeah, I still have like enough time, though, if you want me to

80 00:08:28.970 00:08:30.919 Ryan Luke Daque: work more hours.

81 00:08:31.120 00:08:39.759 Uttam Kumaran: Yeah. So here’s what I’m thinking. I’m thinking of extending it. And this is where I think you know we try. I remember. I mean you, I’m sure you remember. But

82 00:08:39.960 00:08:46.072 Uttam Kumaran: in December, so we I you know, I tried to say it was just me and you basically. And let’s see if

83 00:08:46.370 00:08:51.890 Uttam Kumaran: you know, basically, I was like, can you handle the analyst portion? I know we came to an agreement that basically like.

84 00:08:52.050 00:09:02.499 Uttam Kumaran: you’re really more familiar with the stuff on the modeling side. And but I do think that the situation at that point was that we still had so much more modeling to do.

85 00:09:02.660 00:09:03.650 Ryan Luke Daque: Right, yeah.

86 00:09:04.500 00:09:13.560 Uttam Kumaran: like it was a lot different than now, where most of our stuff is on the analysis side. And so that’s the one thing that I want to kind of propose to you is like.

87 00:09:13.680 00:09:15.080 Uttam Kumaran: I think

88 00:09:15.150 00:09:18.150 Uttam Kumaran: if we revert back to me, you and Nico.

89 00:09:18.850 00:09:27.249 Uttam Kumaran: Nico has very, very clear requirements from Kim and Chuck. On the analysis, me and you have a really really solid understanding of the data model.

90 00:09:27.290 00:09:37.089 Uttam Kumaran: And the analysis they’re asking for is actually not very complicated. They’re not asking for like anything crazy. It’s it’s actually just like making sure real is like clean and up to date.

91 00:09:37.090 00:09:37.660 Ryan Luke Daque: Right.

92 00:09:37.875 00:09:40.030 Uttam Kumaran: And you know, and the things that I kind of

93 00:09:40.060 00:09:41.160 Uttam Kumaran: want.

94 00:09:41.520 00:09:50.609 Uttam Kumaran: And this is where, like, you know, I I want to start to be really clear about kind of like. What we’re expecting from the analyst spot is really like one you’re able to

95 00:09:50.700 00:10:05.649 Uttam Kumaran: work with Nico and work with Chuck and Kim, who you’ve met many times on, like, what are the questions that they have right? And then basically just go like one by one on the questions and make sure that not only do we have the data to answer it. The data is accurate, and.

96 00:10:06.000 00:10:06.320 Ryan Luke Daque: Yeah.

97 00:10:06.320 00:10:09.109 Uttam Kumaran: Provide them with the answer right? Like, if Kim wants to know.

98 00:10:09.270 00:10:17.340 Uttam Kumaran: hey, can we measure like conversions? Okay, maybe not. Maybe. Yes, like. That’s the sort of things that we’re still waiting on.

99 00:10:17.390 00:10:19.340 Uttam Kumaran: And so I do think that

100 00:10:19.530 00:10:23.430 Uttam Kumaran: the lack of understanding of the core data model by like everybody.

101 00:10:23.450 00:10:25.909 Uttam Kumaran: And the oh, the last thing I’ll mention also is.

102 00:10:25.920 00:10:29.529 Uttam Kumaran: the analysts aren’t very technical. So they’re always hung up

103 00:10:29.690 00:10:30.200 Uttam Kumaran: online.

104 00:10:30.200 00:10:30.859 Ryan Luke Daque: I mean.

105 00:10:30.860 00:10:31.830 Uttam Kumaran: Github

106 00:10:32.020 00:10:33.659 Uttam Kumaran: vs. Code like

107 00:10:33.750 00:10:35.749 Uttam Kumaran: it’s so painful for me.

108 00:10:36.276 00:10:43.639 Uttam Kumaran: Because, like, I don’t know, I’m like we’re an engineering company. If you don’t know Github like I mean, I’ll take full responsibility for

109 00:10:43.800 00:10:45.579 Uttam Kumaran: bringing those people on. But

110 00:10:45.860 00:10:48.959 Uttam Kumaran: I didn’t really fully grasp that at the moment.

111 00:10:50.090 00:10:50.780 Ryan Luke Daque: Yeah.

112 00:10:50.780 00:10:53.139 Uttam Kumaran: And now that’s like a very clear requirement for me.

113 00:10:53.586 00:10:59.750 Uttam Kumaran: That we need people, that if they’re not good at that, then they need to overcompensate in someone else some other area, you know.

114 00:10:59.750 00:11:05.569 Ryan Luke Daque: Yeah, I I think I agree as well like, that’s what I also noticed like with at least with Jacob. And

115 00:11:05.920 00:11:07.810 Ryan Luke Daque: like Suraj when we were like

116 00:11:08.180 00:11:12.826 Ryan Luke Daque: trying to install rail and stuff like that on his side, and like on Jacob when

117 00:11:13.280 00:11:14.530 Ryan Luke Daque: it’s it’s

118 00:11:14.890 00:11:22.309 Ryan Luke Daque: felt like it took a lot of effort from him to like, understand how real works, how evidence works.

119 00:11:22.340 00:11:26.620 Ryan Luke Daque: So it feel. It felt like he spent more time on that

120 00:11:26.730 00:11:28.079 Ryan Luke Daque: as opposed to like

121 00:11:28.510 00:11:30.280 Ryan Luke Daque: the actual data analyst.

122 00:11:30.986 00:11:32.690 Ryan Luke Daque: job, right? Which was

123 00:11:32.800 00:11:34.369 Ryan Luke Daque: understanding the data.

124 00:11:34.970 00:11:35.760 Uttam Kumaran: Absolutely.

125 00:11:35.760 00:11:36.700 Ryan Luke Daque: Yeah, so.

126 00:11:37.300 00:11:39.929 Ryan Luke Daque: yeah, I, I totally agree with that.

127 00:11:39.930 00:11:50.469 Uttam Kumaran: Totally. You’re totally correct, and so that those are things that like I can’t. I’m not going to make a mistake on in the future. And even here’s like these, here’s even like a bigger picture thing is actually.

128 00:11:50.680 00:12:02.750 Uttam Kumaran: you know, data analysts are always considered like less than the data modelers. Data engineers like they get paid less. They’re considered less technical. But like that’s that’s mainly because I think the

129 00:12:02.840 00:12:05.770 Uttam Kumaran: bar for those folks is lower.

130 00:12:05.910 00:12:09.250 Uttam Kumaran: right? And for me. I don’t consider them any less

131 00:12:09.480 00:12:16.760 Uttam Kumaran: smart or capable than anyone else on the team. And so for me, I actually just realized my bar for data analysts has to be way higher.

132 00:12:16.860 00:12:23.760 Uttam Kumaran: Yeah, like, my bar for data modelers can be a little bit lower. Dana just can be a little bit lower because they’re technical, they’ll figure it out

133 00:12:23.890 00:12:29.270 Uttam Kumaran: for the analyst side. I, they really just have their communication skills. And like

134 00:12:29.720 00:12:35.599 Uttam Kumaran: these, like, you know, figuring out solving these problems. And so for that reason, like

135 00:12:35.740 00:12:44.450 Uttam Kumaran: really need to keep the bar high. So, my, my overarching like proposal is that I you come on a little bit stronger onto pool parts.

136 00:12:44.620 00:12:47.439 Uttam Kumaran: and it just becomes me. You and Nico.

137 00:12:47.600 00:13:01.940 Uttam Kumaran: I think, like I’m still now that we have some more sales going, and things are going well. I have a little bit of time, but also, I think, like out of everybody, you have the really the best understanding of like the data model.

138 00:13:01.990 00:13:03.100 Uttam Kumaran: So

139 00:13:03.150 00:13:20.689 Uttam Kumaran: I do think that you’re the most capable of answering some of these analyst questions. The second thing is, as you see, like, I’m still helping out. And so, even if things are a rush or we need stuff, I’m there. But the biggest thing is like answering the week to week questions, for with Nico, I think, like just between you 2,

140 00:13:20.790 00:13:26.739 Uttam Kumaran: you know, you can answer right? And there’s probably improvements we can do on him. This is where I’m going to. Kind of also lean on you is like

141 00:13:26.800 00:13:30.340 Uttam Kumaran: for you to answer some of these questions. What do you need him to go find out

142 00:13:30.490 00:13:31.129 Uttam Kumaran: right like

143 00:13:31.500 00:13:41.049 Uttam Kumaran: you need him to go, find out definitions because he can go spend all day with them right? But you can’t necessarily do that. So I want. I want you to rely on him as like a

144 00:13:41.130 00:13:52.729 Uttam Kumaran: let’s set. Let’s set up between me and you. You. Maybe we can do it this week is like for analyst and for modeling requirements, like, what are those requirements that he needs to go get from the client.

145 00:13:52.880 00:13:53.200 Ryan Luke Daque: Yeah.

146 00:13:53.200 00:14:05.380 Uttam Kumaran: Before you can take action right? Because before again, this will all go into like better notion. Docs. Better, Github issue templates. But I want us to be really clear on the contracts between each of the different people.

147 00:14:06.128 00:14:11.519 Uttam Kumaran: And as we take on more clients right like this is gonna continue to be the problem. So

148 00:14:11.680 00:14:26.180 Uttam Kumaran: Nico also Nico will go and get these things, I think, for him. He was like just understanding what exactly you need. And of course, like nobody, nobody really made that clear on the analyst side, because they just didn’t have this like engineering mind of like, we have to set clear requirements.

149 00:14:26.476 00:14:30.210 Uttam Kumaran: They were kind of waiting for someone else to do that. And so that’s the thing I really need.

150 00:14:30.290 00:14:32.512 Uttam Kumaran: you know. Help from you on, and

151 00:14:32.870 00:14:42.709 Uttam Kumaran: is to not only come in and, like, you know, of course, like do your magic on stuff for pool parts. But the biggest thing is also helping the system run more efficiently.

152 00:14:42.730 00:14:51.889 Uttam Kumaran: which is like, you know you’ve been. I think you know, I’ve always reminded everybody. But I think you’ve been doing a job on documentation, but also like what is, what does Nico need to get

153 00:14:52.000 00:15:03.509 Uttam Kumaran: for you on the modeling side or the analyst side for it to be successful and push him to go get that right. You don’t have to say like, it’s actually totally fine if you’re like, Hey, this isn’t enough information.

154 00:15:03.530 00:15:10.920 Uttam Kumaran: Go get me more information. That’s totally okay, right? And I want to make sure everybody’s fine with understanding. That’s not rude, or that’s not like.

155 00:15:11.210 00:15:12.110 Ryan Luke Daque: Issue.

156 00:15:12.340 00:15:14.140 Uttam Kumaran: That’s actually like a requirement.

157 00:15:14.410 00:15:19.249 Uttam Kumaran: you know, and and he can say the same thing he can say, Hey, I tried to get all this information for you.

158 00:15:19.270 00:15:24.419 Uttam Kumaran: You told you never told me about this piece, but I’ll go get it now, and let’s write that down somewhere, right? And so.

159 00:15:24.420 00:15:24.800 Ryan Luke Daque: Yeah.

160 00:15:24.800 00:15:31.659 Uttam Kumaran: That’s the things those are. The things that I really want to improve is like those contracts between each of the different roles.

161 00:15:32.160 00:15:36.879 Uttam Kumaran: And then you have my word that I’m not gonna hire a bad analyst ever again.

162 00:15:36.890 00:15:38.210 Uttam Kumaran: Yes, that sucks.

163 00:15:39.790 00:15:40.800 Uttam Kumaran: Yes.

164 00:15:40.800 00:15:43.572 Ryan Luke Daque: Yeah, I can. I can take a stab at that.

165 00:15:44.330 00:15:50.980 Ryan Luke Daque: yeah. Like doing some of the data analyst work, especially like for for parts at the moment. So

166 00:15:52.030 00:15:52.810 Ryan Luke Daque: yeah.

167 00:15:53.360 00:15:54.100 Ryan Luke Daque: sure.

168 00:15:54.800 00:15:57.720 Uttam Kumaran: Yeah, if you can take that on, that would be a huge help.

169 00:15:59.380 00:16:07.060 Uttam Kumaran: And then, yeah, let’s like, go ahead and do that, and just see how many hours it kind of takes. I want to kind of get an understanding from you on like.

170 00:16:07.490 00:16:12.070 Uttam Kumaran: is this like full 40 h? Because I also want to know if I if.

171 00:16:12.100 00:16:15.230 Uttam Kumaran: if, for example, if you’re like, Hey, I can accomplish all this in

172 00:16:15.360 00:16:21.689 Uttam Kumaran: like 6 HA day or 30 HA week. Then I know that you have 10 h, basically where I can go.

173 00:16:21.730 00:16:26.690 Uttam Kumaran: I can. I can have you, Bill, for another client as well. But also, if you’re like, Hey.

174 00:16:26.960 00:16:41.080 Uttam Kumaran: I’m doing data modeling and analysis. And this is taking 40 h. Then you can let me know that as well. I want to kind of give you. I don’t want to like impose it on you. I want to kind of get. Let you get a sense of what it’s going to be. I’ve already kind of informed this to Nico.

175 00:16:41.110 00:16:46.440 Uttam Kumaran: but I want to have a conversation between the 3 of us on setting up these contracts.

176 00:16:46.450 00:16:47.650 Uttam Kumaran: basically

177 00:16:48.275 00:16:51.640 Uttam Kumaran: and so I’ll do that. But again, I’ll I know you’re

178 00:16:52.340 00:16:59.189 Uttam Kumaran: out of out of everyone. You’re you’re like, very, very kind. And you’re very, very like. Whatever it takes, I’ll do it. But I do think that

179 00:16:59.230 00:17:07.859 Uttam Kumaran: one piece of feedback push back, if it’s not good enough. The requirements aren’t good cause that that may come from me. That may come from Nico. But push back.

180 00:17:07.920 00:17:24.249 Uttam Kumaran: and that’s healthy. That’s totally healthy and expected. I’m not expect. I’m actually, I will be cautious. And this is what happened on the analyst side is like, if everybody keeps saying Yes, I get nervous because it can’t. That’s not possible, because I know I’m messing. I’m messing things up all the time.

181 00:17:24.260 00:17:39.960 Uttam Kumaran: So I want to see that like discussion. And it’s getting better, I think, like, you know, even this week, and last week there’s been great discussion. Slack. Patrick still really helps out and you know I’m I’m finding ways to see if I can loop Augustine back to help with some of these like

182 00:17:40.250 00:17:52.559 Uttam Kumaran: weird internal things at the Github actions and netlify stuff. But let’s see that I think we’re going to go back and simplify the pool part stuff. I think again, our main stuff is really on the warehouses and the

183 00:17:53.930 00:17:57.403 Uttam Kumaran: marketing side. So let’s just keep pushing on that

184 00:17:57.790 00:17:58.570 Ryan Luke Daque: Yeah.

185 00:17:59.310 00:17:59.930 Uttam Kumaran: Cool.

186 00:18:00.120 00:18:00.990 Uttam Kumaran: sure.

187 00:18:00.990 00:18:03.930 Ryan Luke Daque: Yeah, sounds like a plan to me.

188 00:18:04.150 00:18:06.879 Uttam Kumaran: What do you? What makes you nervous about that?

189 00:18:09.070 00:18:10.229 Ryan Luke Daque: I don’t.

190 00:18:10.280 00:18:12.859 Ryan Luke Daque: you know. I maybe I’m just like

191 00:18:13.760 00:18:15.130 Ryan Luke Daque: maybe.

192 00:18:16.050 00:18:17.779 Ryan Luke Daque: Well, what? What make

193 00:18:17.810 00:18:22.909 Ryan Luke Daque: probably make me nervous of this? Oh, we would. This is probably, if I can’t like

194 00:18:23.400 00:18:28.620 Ryan Luke Daque: get to the expectations and stuff like that. But yeah, yeah, but I I also like

195 00:18:29.020 00:18:30.280 Ryan Luke Daque: sometimes set

196 00:18:30.470 00:18:36.950 Ryan Luke Daque: high expectations to myself as well, like, yeah. And I I totally agree on, like your sentiment in terms of like

197 00:18:37.440 00:18:45.484 Ryan Luke Daque: I try to do whatever I can. I I say, yes, most of the time like, that’s always been my personality ever since.

198 00:18:45.920 00:18:51.259 Ryan Luke Daque: so yeah, that. But yeah, I think I’ll just try what I can do. And if it

199 00:18:51.770 00:18:57.649 Ryan Luke Daque: doesn’t work like, just just tell me like any feedback, because, like I, I live with on that as well like

200 00:18:59.090 00:19:05.176 Ryan Luke Daque: I think you you already know. Like I I live. I tried to continuously improve myself all the time, and I believe that’s like,

201 00:19:05.790 00:19:09.699 Ryan Luke Daque: yeah, that’s like part of my personality as well. So if we can.

202 00:19:09.700 00:19:15.490 Uttam Kumaran: No, and I’m glad we’re last 2 weeks we’ve been doing this more often. And look, the other thing is, we’re no longer on light. Dash.

203 00:19:15.760 00:19:16.360 Ryan Luke Daque: Surprising.

204 00:19:16.360 00:19:19.990 Uttam Kumaran: Well, we’ve tried. I’ve tried to attack some of those things that

205 00:19:20.120 00:19:27.379 Uttam Kumaran: you know. Imagine if Nico had to give you every single requirement on every single visualization. Right? Like, we don’t have to do those types of things anymore.

206 00:19:27.380 00:19:27.710 Ryan Luke Daque: Yeah.

207 00:19:27.710 00:19:30.080 Uttam Kumaran: And so for that reason, I’m like a lot happier.

208 00:19:31.900 00:19:34.915 Uttam Kumaran: So let’s let’s see how it goes. And then

209 00:19:35.810 00:19:45.370 Uttam Kumaran: yeah, I mean again. I’m going to do my best to meet with with everybody as as often as possible. I do kind of want. I I know you guys are all meeting. And and I’m gonna kind of say.

210 00:19:45.400 00:19:52.910 Uttam Kumaran: you know the same thing over and over again. But I’m I’m excited when when the team meets together and solves problems and doesn’t wait for me.

211 00:19:53.300 00:20:00.600 Uttam Kumaran: And I’m glad Nico is taking more of a leadership position and doing that and he’s learning quickly, too. So everyone, I think, is picking it up.

212 00:20:00.770 00:20:02.110 Uttam Kumaran: I think again.

213 00:20:02.190 00:20:05.329 Uttam Kumaran: this is this whole business is like a learn learning. And

214 00:20:05.490 00:20:10.550 Uttam Kumaran: you know, we’re building the plane as it like flies. So some things we’re gonna make mistakes on.

215 00:20:10.700 00:20:11.520 Uttam Kumaran: But

216 00:20:11.660 00:20:22.679 Uttam Kumaran: you know, I just try to be somebody that makes changes and tries to find the better thing. And again, I’m if I can give folks like you, who have really excelled more responsibility and more money and

217 00:20:22.810 00:20:33.490 Uttam Kumaran: the ability to kind of do more, then we don’t have to hire. I can rely on you more like that’s it. Actually, we have the when we go out to search for new people is when we introduce risk into the business.

218 00:20:33.560 00:20:35.459 Uttam Kumaran: you know. And

219 00:20:35.530 00:20:45.669 Uttam Kumaran: I learned that the hard way, and you know I some at some points. I didn’t have an option because I had to do what I needed. But also, now that we have some options and we have.

220 00:20:45.870 00:20:48.729 Uttam Kumaran: you know, business, I think the biggest thing for me is

221 00:20:49.230 00:20:50.663 Uttam Kumaran: figuring out

222 00:20:51.760 00:20:52.530 Uttam Kumaran: like

223 00:20:52.710 00:21:02.820 Uttam Kumaran: what that bar is for the talent. And then, really being like, we’re not going to bring anyone else into this. That’s gonna like, mess up that that whole vibe. So yeah, I appreciate, I appreciate you listening. And

224 00:21:03.110 00:21:05.129 Uttam Kumaran: taking this into consideration. So.

225 00:21:07.050 00:21:15.240 Ryan Luke Daque: Yeah, let’s work on this together. And let’s see what we can do. Hopefully, it’s a we end up in a positive state like, yeah.

226 00:21:15.750 00:21:20.756 Uttam Kumaran: Yeah. And I do think also that you know, now that Miguel is here.

227 00:21:21.290 00:21:27.659 Uttam Kumaran: I think what I’m gonna I’m gonna try to do this week is host, like an automation like weekly meeting, basically where we talk about

228 00:21:27.730 00:21:30.120 Uttam Kumaran: like some of the AI automations. But

229 00:21:30.150 00:21:43.459 Uttam Kumaran: he’s going to start working on some of the Github automation stuff. And I had mentioned that you’re also working on stuff. So there will be stuff even outside of the core client work, but again, ideally, is like, if the requirements are really good, then you can start to use AI to kind of get some of that work done

230 00:21:43.600 00:21:46.499 Uttam Kumaran: as much as possible. So let’s see how it goes.

231 00:21:46.820 00:21:48.870 Ryan Luke Daque: Sure. Yeah, sounds good.

232 00:21:49.870 00:21:50.590 Uttam Kumaran: Hey, Greg?

233 00:21:50.790 00:21:52.990 Uttam Kumaran: Okay. Anything else for me.

234 00:21:54.000 00:21:56.099 Ryan Luke Daque: I think I’m good so far.

235 00:21:57.100 00:22:02.390 Ryan Luke Daque: Should we like, should we cancel that? We, we have 2 meetings set up.

236 00:22:02.390 00:22:06.269 Uttam Kumaran: I think we have a weekly. I’ll cancel the the one that’s after this.

237 00:22:07.170 00:22:07.670 Ryan Luke Daque: Okay.

238 00:22:07.670 00:22:16.239 Uttam Kumaran: And then, yeah, feel free. I’m gonna I’m gonna look at your real Pr in just a bit. I just wanted to kind of see how how it’s working. And then we’re.

239 00:22:16.240 00:22:17.299 Ryan Luke Daque: Oh, you mean, yeah.

240 00:22:17.300 00:22:19.918 Uttam Kumaran: Yeah. And then we’re also we’re also gonna use that

241 00:22:20.200 00:22:22.550 Uttam Kumaran: as part of like some other clients. So

242 00:22:22.560 00:22:25.820 Uttam Kumaran: just gonna kind of cut it out of there and put it in. Put it in one of our

243 00:22:25.900 00:22:27.729 Uttam Kumaran: template repos, but.

244 00:22:27.730 00:22:28.270 Ryan Luke Daque: Yeah.

245 00:22:29.090 00:22:30.130 Uttam Kumaran: But yeah, perfect.

246 00:22:30.500 00:22:32.159 Ryan Luke Daque: Cool sounds, good.

247 00:22:32.160 00:22:34.320 Uttam Kumaran: Okay, thanks, Ryan. I’ll talk to you soon.

248 00:22:34.320 00:22:36.300 Ryan Luke Daque: Thanks, Utam, have a nice rest of the day.

249 00:22:36.300 00:22:37.120 Uttam Kumaran: Is it fine?

250 00:22:37.120 00:22:37.840 Ryan Luke Daque: Bye, bye.