Meeting Title: Leadership Sync Date: 2026-05-04 Meeting participants: Kaela Gallagher, Rico Rejoso, Brylle Girang, Uttam Kumaran, Robert Tseng
WEBVTT
1 00:02:34.240 ⇒ 00:02:35.399 Kaela Gallagher: Hey, Rico.
2 00:02:39.130 ⇒ 00:02:41.130 Rico Rejoso: Hey guys, happy Monday.
3 00:02:42.260 ⇒ 00:02:43.810 Kaela Gallagher: Happy Monday.
4 00:02:45.270 ⇒ 00:02:46.170 Brylle Girang: Hello.
5 00:02:46.500 ⇒ 00:02:47.330 Kaela Gallagher: Maybe…
6 00:02:53.410 ⇒ 00:02:55.020 Brylle Girang: How was the COVID guide, Kayla?
7 00:02:56.670 ⇒ 00:02:57.750 Kaela Gallagher: How was the what?
8 00:02:57.990 ⇒ 00:02:59.630 Brylle Girang: How was the call with Garrett?
9 00:03:01.730 ⇒ 00:03:02.790 Kaela Gallagher: Oh!
10 00:03:03.290 ⇒ 00:03:05.120 Kaela Gallagher: It was… fine.
11 00:03:06.410 ⇒ 00:03:12.520 Kaela Gallagher: It’s unfortunate, but fine. The feedback…
12 00:03:14.160 ⇒ 00:03:21.899 Kaela Gallagher: I just tried to keep it very, very straightforward. I feel like feedback was already given, so there’s no point in me doing that on a call like that.
13 00:03:23.530 ⇒ 00:03:33.560 Kaela Gallagher: But he did give feedback that he felt like, you know, expectations weren’t clear, the role kept changing, the clients kept changing.
14 00:03:36.070 ⇒ 00:03:41.450 Kaela Gallagher: And… I don’t know, he feels like the way that he was set up, it was not possible to succeed, so…
15 00:03:42.060 ⇒ 00:03:44.930 Kaela Gallagher: I shared that with, with Tom and Robert.
16 00:03:50.670 ⇒ 00:03:51.440 Brylle Girang: Okay.
17 00:04:06.280 ⇒ 00:04:09.200 Brylle Girang: I don’t even know if Otam…
18 00:04:10.110 ⇒ 00:04:11.790 Brylle Girang: We’ll be able to make it.
19 00:04:12.300 ⇒ 00:04:25.859 Brylle Girang: He missed our previous call, so I think… oh, he’s running a bit behind. He messaged. Okay, I think, oh, Kayla, Rico, we can also take this opportunity to look at your open code instance, if you don’t mind.
20 00:04:26.130 ⇒ 00:04:27.709 Brylle Girang: While we’re waiting for them.
21 00:04:28.510 ⇒ 00:04:30.069 Kaela Gallagher: Do you want me to share a screen?
22 00:04:30.370 ⇒ 00:04:32.300 Brylle Girang: Yes, Kayla, just go ahead.
23 00:04:32.940 ⇒ 00:04:35.239 Kaela Gallagher: Okay, let’s see…
24 00:04:37.470 ⇒ 00:04:42.680 Rico Rejoso: Actually, I was… Wanted to reach out to you regarding that as well.
25 00:04:44.470 ⇒ 00:04:45.330 Brylle Girang: Perfect.
26 00:04:45.540 ⇒ 00:04:47.400 Brylle Girang: We have the floor now.
27 00:04:49.540 ⇒ 00:04:51.679 Brylle Girang: Let’s crush this.
28 00:04:54.080 ⇒ 00:04:56.509 Kaela Gallagher: So this is what mine looks like currently.
29 00:04:57.020 ⇒ 00:04:57.630 Brylle Girang: Yeah.
30 00:05:03.370 ⇒ 00:05:07.330 Brylle Girang: Okay, do you have your GitHub desktop open?
31 00:05:15.800 ⇒ 00:05:16.890 Brylle Girang: Hmm.
32 00:05:19.220 ⇒ 00:05:22.639 Kaela Gallagher: Southwest Wi-Fi. This was when I was on the plane.
33 00:05:24.120 ⇒ 00:05:25.580 Kaela Gallagher: Like, a week ago.
34 00:05:25.980 ⇒ 00:05:30.110 Kaela Gallagher: So, I don’t know, now I’m not on that Wi-Fi anymore.
35 00:05:30.400 ⇒ 00:05:32.769 Brylle Girang: Yeah, just click cancel. That should be fine.
36 00:05:33.790 ⇒ 00:05:42.310 Brylle Girang: Okay, you can see here where… We’re back… To this monstrosity?
37 00:05:42.710 ⇒ 00:05:46.380 Brylle Girang: Make 2063 change files, that’s… that’s not right.
38 00:05:46.890 ⇒ 00:05:49.110 Brylle Girang: We might need to reclone again.
39 00:05:49.980 ⇒ 00:05:55.729 Kaela Gallagher: And I have a current branch that’s… why is it my OKRs? Weird.
40 00:05:55.730 ⇒ 00:06:03.270 Brylle Girang: Did you create a PR? Like, did you ask Cursor or anything to create a PR? Not yet.
41 00:06:03.270 ⇒ 00:06:04.310 Kaela Gallagher: I’m aware of.
42 00:06:04.740 ⇒ 00:06:07.680 Brylle Girang: Okay, yeah, that’s fine. I think…
43 00:06:08.480 ⇒ 00:06:15.459 Brylle Girang: the best way to go about this is if we could just reclone. Do you remember those steps? Like, cloning another repository?
44 00:06:17.610 ⇒ 00:06:21.110 Kaela Gallagher: Add… clone…
45 00:06:23.500 ⇒ 00:06:25.670 Brylle Girang: the Brainforge platform.
46 00:06:31.300 ⇒ 00:06:34.129 Brylle Girang: That one, yeah, and then let’s just change…
47 00:06:34.290 ⇒ 00:06:38.990 Brylle Girang: this name. Let’s add a number 3 there, just so that…
48 00:06:39.120 ⇒ 00:06:43.149 Brylle Girang: We know what to delete moving forward. Okay, let’s wait for that.
49 00:06:46.100 ⇒ 00:06:49.460 Kaela Gallagher: Oh my gosh, the open code over here keeps freaking out.
50 00:06:57.930 ⇒ 00:07:00.780 Kaela Gallagher: What are the benefits to open code versus cursor?
51 00:07:01.700 ⇒ 00:07:06.629 Brylle Girang: Well, first, cursor’s models are really, really expensive.
52 00:07:06.740 ⇒ 00:07:12.720 Brylle Girang: And it doesn’t give us that much of an option to, like, Explore other providers.
53 00:07:12.960 ⇒ 00:07:22.329 Brylle Girang: with OpenCode, we… we can definitely, like, use… so OpenCode is just… how do you call this? Open code is just the car.
54 00:07:22.620 ⇒ 00:07:26.619 Brylle Girang: Cursor forces us to choose a driver of their own.
55 00:07:26.660 ⇒ 00:07:33.829 Brylle Girang: Well, with OpenCode, we don’t need to choose their own driver, so we’re free to get whoever we want.
56 00:07:33.830 ⇒ 00:07:49.030 Brylle Girang: Just to make sure that someone gets the car up and running, right? And also, the driver for… the driver for Cursor costs maybe two times, three times as much as the drivers that you can rent for OpenCode.
57 00:07:49.260 ⇒ 00:07:54.879 Brylle Girang: So that’s… that’s two. The next thing is that open code.
58 00:07:55.020 ⇒ 00:08:01.429 Brylle Girang: is going to be really, really similar to the work platform that we’re building, the Brainforge work.
59 00:08:02.130 ⇒ 00:08:04.999 Brylle Girang: And as much… as soon as possible, we want to…
60 00:08:05.540 ⇒ 00:08:13.059 Brylle Girang: Like, we want to… how do you call that? We want to fix the mindset of everyone that, hey, this is how
61 00:08:13.170 ⇒ 00:08:24.349 Brylle Girang: We’re going to use AI tools moving forward. The Brainforge work platform is going to be really similar to OpenCode, so the moment that we transition to the work platform.
62 00:08:24.580 ⇒ 00:08:27.590 Brylle Girang: It’s going to be easier, compared to, like, cursor.
63 00:08:28.160 ⇒ 00:08:29.810 Brylle Girang: From cursor to work.
64 00:08:30.580 ⇒ 00:08:31.769 Kaela Gallagher: That makes sense.
65 00:08:33.580 ⇒ 00:08:43.579 Brylle Girang: And also, I promise, OpenCode Desktop is going to be a lot, lot easier than Cursor. Like, it’s not an IDE, so it’s going to be,
66 00:08:43.870 ⇒ 00:08:46.059 Brylle Girang: It’s going to be more intuitive, I think.
67 00:08:46.060 ⇒ 00:08:46.590 Kaela Gallagher: Okay.
68 00:08:46.590 ⇒ 00:08:54.060 Brylle Girang: It’s just not… it’s just not intuitive now, because we have 2,072 reviews here, so it’s a bit daunting, but it’s good.
69 00:08:54.060 ⇒ 00:08:54.400 Kaela Gallagher: Well.
70 00:08:54.400 ⇒ 00:08:55.230 Brylle Girang: easier.
71 00:08:55.490 ⇒ 00:09:01.599 Kaela Gallagher: Oh my gosh, let me tell you, when I was first setting up OpenCode, I was using the,
72 00:09:02.550 ⇒ 00:09:09.169 Kaela Gallagher: like, the coding version of it, like, the developer portal situation, and I was like.
73 00:09:09.820 ⇒ 00:09:17.869 Kaela Gallagher: what am I doing right now? And then I saw at the end of the tutorial, it said, or you could set it up on desktop, and I was like, oh…
74 00:09:18.900 ⇒ 00:09:19.610 Kaela Gallagher: Hmm…
75 00:09:19.610 ⇒ 00:09:29.140 Brylle Girang: That’s crazy. I’m going to update the course there. I think there was a little note there that, hey, you choose whatever fits, but I’m going to make that more.
76 00:09:31.380 ⇒ 00:09:32.610 Brylle Girang: or distinguishable.
77 00:09:35.750 ⇒ 00:09:40.399 Brylle Girang: Okay, while we’re waiting for this, Rico, you mentioned that you had a problem.
78 00:09:41.150 ⇒ 00:10:00.730 Rico Rejoso: No, not really, no problem, but I wanted to have the… what do you call this? Our AP worksheet that Utam and I are working on the platform, and he mentioned doing it through open code, so I also informed him that I might need your help when it comes to the instructions and how to, you know, use that one.
79 00:10:00.770 ⇒ 00:10:08.880 Rico Rejoso: So, if you have, like, any written instructions, MD file that I can go through first before, you know, we can jump on a call to get that set up.
80 00:10:08.960 ⇒ 00:10:10.729 Rico Rejoso: That’d be… that’d… that’d be great.
81 00:10:11.080 ⇒ 00:10:17.839 Brylle Girang: Yeah, definitely. So, as I understand it, you’re going to move from Google Sheets to the platform?
82 00:10:18.110 ⇒ 00:10:24.929 Brylle Girang: As the database? Is that right? Okay, perfect. We also have, like, a similar plan for Kayla, like, moving…
83 00:10:25.150 ⇒ 00:10:37.219 Brylle Girang: moving anything related to hiring or recruitment from anywhere, Notion… Notion Google Sheets over to the platform, so I think… do you agree that maybe we can schedule
84 00:10:37.400 ⇒ 00:10:43.650 Brylle Girang: Like, working sessions between the three of us, just trying to… just trying to understand how we can do that.
85 00:10:44.440 ⇒ 00:10:44.890 Kaela Gallagher: Yeah.
86 00:10:44.890 ⇒ 00:10:45.440 Rico Rejoso: Yeah.
87 00:10:45.440 ⇒ 00:10:45.770 Brylle Girang: Okay.
88 00:10:45.770 ⇒ 00:10:46.230 Rico Rejoso: Definitely.
89 00:10:46.230 ⇒ 00:10:46.990 Brylle Girang: Perfect.
90 00:10:47.340 ⇒ 00:10:48.140 Brylle Girang: Love it.
91 00:10:48.530 ⇒ 00:10:50.740 Rico Rejoso: Just send out the instruction first so I can have, you know…
92 00:10:51.050 ⇒ 00:10:55.009 Rico Rejoso: A few ideas on how that works and stuff, and how to set up everything goes.
93 00:10:55.510 ⇒ 00:11:01.829 Brylle Girang: Yeah, definitely. I think, with the AI world right now, the main thing that we need to be good at
94 00:11:01.980 ⇒ 00:11:06.320 Brylle Girang: It’s like rewriting down the vision of what we want to happen.
95 00:11:06.590 ⇒ 00:11:22.710 Brylle Girang: Like, most of the AI tools, most of the AI processes right now is failing, because the iteration loop is really, really broken. Like, the vision at front, up front, is not that clear, so the AI’s output is also not clear.
96 00:11:22.920 ⇒ 00:11:23.740 Brylle Girang: So…
97 00:11:24.100 ⇒ 00:11:32.479 Brylle Girang: I think starting now, what we can do, even without trying to think of how can we do that, that’s not… that’s not going to be our role, that’s going to be the AI’s work.
98 00:11:32.630 ⇒ 00:11:37.989 Brylle Girang: about the how. What we need to think about is what do we need the output to look like?
99 00:11:38.210 ⇒ 00:11:45.169 Brylle Girang: what… What design do we want it to have? If you’re into that? What should it show?
100 00:11:45.430 ⇒ 00:11:51.350 Brylle Girang: Where should it get the data from, etc. The coding, all of those stuff. Don’t even try to worry about it.
101 00:11:51.580 ⇒ 00:11:55.899 Brylle Girang: But I’m going to, like, send you both, like, a quick
102 00:11:56.180 ⇒ 00:12:08.470 Brylle Girang: A quick note about how you can create PRDs. Like, pRDs are the sort of plans on how to create the tools, the platforms. We also have standards and playbooks for that, but
103 00:12:08.920 ⇒ 00:12:10.360 Brylle Girang: We can crush it.
104 00:12:11.580 ⇒ 00:12:19.339 Brylle Girang: Okay, cloned, it’s now cloned? Yeah, perfect. Can you go to OpenCode Desktop, and can you click this?
105 00:12:20.360 ⇒ 00:12:23.270 Brylle Girang: the plus button at the left, Kayla?
106 00:12:36.420 ⇒ 00:12:39.009 Brylle Girang: Okay, then where’s the Brain Forge?
107 00:12:40.040 ⇒ 00:12:42.070 Brylle Girang: Is that there?
108 00:12:44.760 ⇒ 00:12:45.950 Brylle Girang: I don’t think that’s it.
109 00:12:46.640 ⇒ 00:12:48.050 Brylle Girang: I think it’s in desktop.
110 00:12:49.470 ⇒ 00:12:51.080 Brylle Girang: Then Brainforge.
111 00:12:51.680 ⇒ 00:12:53.480 Kaela Gallagher: Not today? No. This one.
112 00:12:53.480 ⇒ 00:12:54.610 Brylle Girang: The first one, yup.
113 00:12:56.390 ⇒ 00:12:58.719 Brylle Girang: And then the BringForge Platform 3.
114 00:13:02.160 ⇒ 00:13:05.310 Kaela Gallagher: So on my cursor, do I need to go change it to that as well?
115 00:13:06.410 ⇒ 00:13:08.459 Brylle Girang: Yes, yes, you need to.
116 00:13:16.310 ⇒ 00:13:17.370 Brylle Girang: Did it load?
117 00:13:17.710 ⇒ 00:13:19.980 Brylle Girang: Can you click this one? The first one?
118 00:13:23.590 ⇒ 00:13:26.969 Brylle Girang: Okay, there. I’ll click that one and then click New Session.
119 00:13:28.190 ⇒ 00:13:29.360 Kaela Gallagher: The first one?
120 00:13:29.800 ⇒ 00:13:31.559 Brylle Girang: Yep, and the new session.
121 00:13:35.400 ⇒ 00:13:39.969 Brylle Girang: That’s the new session. Okay, can you right-click on this one?
122 00:13:42.560 ⇒ 00:13:46.150 Brylle Girang: If you right-click, do you have, like, an option to remove that?
123 00:13:53.570 ⇒ 00:13:54.350 Kaela Gallagher: Edit.
124 00:13:55.460 ⇒ 00:13:56.710 Brylle Girang: Yeah, can you click edit?
125 00:13:57.640 ⇒ 00:14:00.240 Brylle Girang: Oh, wait, wait, I think it’s working now.
126 00:14:02.740 ⇒ 00:14:04.379 Kaela Gallagher: Oh, it’s so slow.
127 00:14:05.370 ⇒ 00:14:06.999 Brylle Girang: Yeah, that’s weird.
128 00:14:10.940 ⇒ 00:14:11.870 Kaela Gallagher: Okay.
129 00:14:12.270 ⇒ 00:14:13.730 Brylle Girang: No, no need to edit.
130 00:14:15.810 ⇒ 00:14:18.630 Kaela Gallagher: Should I ask it, are you connected to GitHub?
131 00:14:22.660 ⇒ 00:14:28.530 Brylle Girang: Let’s wait for it. I am 100% confident that it’s now connected to GitHub, let’s just wait for…
132 00:14:28.670 ⇒ 00:14:33.929 Brylle Girang: Like, the review phase. And can you… can you, like, expand this?
133 00:14:34.730 ⇒ 00:14:35.700 Brylle Girang: And then…
134 00:14:43.760 ⇒ 00:14:46.049 Brylle Girang: I see what you mean.
135 00:14:49.070 ⇒ 00:14:49.840 Uttam Kumaran: Hey guys.
136 00:14:50.360 ⇒ 00:14:51.160 Brylle Girang: Hello!
137 00:14:55.330 ⇒ 00:14:59.610 Brylle Girang: We’re just crushing Kayla’s open code, and I see what she means.
138 00:14:59.840 ⇒ 00:15:01.809 Brylle Girang: By it being slow.
139 00:15:01.920 ⇒ 00:15:03.949 Brylle Girang: And I think it’s a device issue.
140 00:15:04.880 ⇒ 00:15:09.470 Kaela Gallagher: Everything I do in AI is… Slow.
141 00:15:09.470 ⇒ 00:15:17.919 Uttam Kumaran: Well, I also wonder, like, why… maybe you can try to use, like, give me a couple examples, Kayla, of, like, what are some of the things you’re trying to do, and I can think about…
142 00:15:18.050 ⇒ 00:15:19.490 Uttam Kumaran: some options.
143 00:15:20.670 ⇒ 00:15:28.710 Kaela Gallagher: I mean, I haven’t done a ton with an open code yet, because it’s like, every time I… I mean, you…
144 00:15:28.710 ⇒ 00:15:35.490 Uttam Kumaran: Even back up, like, give me a gamble of what you were trying to do today that, like, didn’t work. Like, in cursor. Or, like, what were you doing in cursor before this?
145 00:15:35.780 ⇒ 00:15:44.180 Kaela Gallagher: In Cursor, I was, like, building a skill for my PeopleOps onboarding.
146 00:15:44.180 ⇒ 00:15:44.790 Uttam Kumaran: Yes. Okay.
147 00:15:44.790 ⇒ 00:15:49.630 Kaela Gallagher: was updating databases through Slack and Notion, like.
148 00:15:49.630 ⇒ 00:15:50.290 Uttam Kumaran: Okay.
149 00:15:50.860 ⇒ 00:15:51.890 Kaela Gallagher: I don’t know.
150 00:15:52.580 ⇒ 00:15:54.630 Kaela Gallagher: a bunch of other things. Okay.
151 00:15:54.630 ⇒ 00:15:55.350 Uttam Kumaran: Okay.
152 00:15:55.640 ⇒ 00:15:57.700 Kaela Gallagher: Doing ramp-up plans.
153 00:15:59.120 ⇒ 00:15:59.880 Uttam Kumaran: Okay.
154 00:16:01.740 ⇒ 00:16:02.060 Kaela Gallagher: And in.
155 00:16:02.060 ⇒ 00:16:02.849 Uttam Kumaran: Yeah, I mean?
156 00:16:02.850 ⇒ 00:16:03.300 Kaela Gallagher: I mean.
157 00:16:03.300 ⇒ 00:16:03.730 Uttam Kumaran: Yeah.
158 00:16:03.730 ⇒ 00:16:10.060 Kaela Gallagher: Works fine. But, yeah, in open code, just even clicking a button, there’s, like, a huge lag.
159 00:16:10.250 ⇒ 00:16:10.880 Uttam Kumaran: Okay.
160 00:16:11.580 ⇒ 00:16:15.469 Uttam Kumaran: The other alternative, yeah, I mean, I don’t know, B, like, what do you think?
161 00:16:17.640 ⇒ 00:16:18.470 Brylle Girang: Hmm.
162 00:16:19.330 ⇒ 00:16:24.170 Brylle Girang: Oracle’s not going to be any better, I think it’s going to be slower. Yeah.
163 00:16:24.170 ⇒ 00:16:32.690 Uttam Kumaran: I mean, we ultimately need the work product to, like, get working, which I’m, like, making some changes towards, trying to get that all done.
164 00:16:33.150 ⇒ 00:16:41.739 Uttam Kumaran: But… Yeah, I guess… In the meantime, let me just increase it.
165 00:16:42.220 ⇒ 00:16:46.130 Uttam Kumaran: I mean, we’re… we’re a lot lower than we were
166 00:16:47.200 ⇒ 00:16:51.099 Uttam Kumaran: last month, anyways, mainly because I moved my stuff off.
167 00:16:51.500 ⇒ 00:16:54.320 Uttam Kumaran: So let’s just do that, but I think this is good feedback.
168 00:16:54.620 ⇒ 00:16:57.199 Uttam Kumaran: B, that, like, still the surfaces aren’t perfect.
169 00:16:57.390 ⇒ 00:16:58.060 Brylle Girang: Yeah.
170 00:16:58.060 ⇒ 00:17:00.780 Uttam Kumaran: The parlor is on me,
171 00:17:02.080 ⇒ 00:17:07.580 Uttam Kumaran: But I’m pumped, Kayla, to see that you’re actually building skills, like, that’s… that’s amazing, like, I have…
172 00:17:07.589 ⇒ 00:17:11.579 Kaela Gallagher: I did my first skill today, so exciting.
173 00:17:11.579 ⇒ 00:17:13.409 Uttam Kumaran: Sick. That’s great.
174 00:17:21.429 ⇒ 00:17:26.719 Uttam Kumaran: Okay, cool. I increased the limit. It’s… I don’t want to hold… I’m not holding the limit hostage, but I am trying to push…
175 00:17:27.069 ⇒ 00:17:33.369 Uttam Kumaran: Everybody just to try for alternatives, because ultimately, Cursor is like a crutch.
176 00:17:33.689 ⇒ 00:17:47.859 Uttam Kumaran: But we owe you options, whether you’re a developer, whether you’re, like, just building skills, or just using skills, there has to be several options. To give you the business case for why not cursors, I don’t get to see any of the data.
177 00:17:48.059 ⇒ 00:17:52.149 Uttam Kumaran: on, like, what people are doing. Yeah. And…
178 00:17:52.539 ⇒ 00:17:57.539 Uttam Kumaran: We also are giving them basically all of our information every time we use their product.
179 00:17:57.659 ⇒ 00:17:59.939 Uttam Kumaran: And it’s, like, pretty expensive.
180 00:18:00.249 ⇒ 00:18:06.419 Uttam Kumaran: So for all those reasons, we’re trying to come up with alternatives, but we owe you something that works on day one, so…
181 00:18:06.869 ⇒ 00:18:10.409 Uttam Kumaran: But keep going. I increased it, so hopefully it should… it should reflect.
182 00:18:10.410 ⇒ 00:18:13.070 Kaela Gallagher: And I can… I can keep…
183 00:18:13.330 ⇒ 00:18:26.880 Kaela Gallagher: working with OpenCode, too. I think, honestly, like, my laptop is just… the Windows has caused a lot of issues, and, like, it’s just a little bit laggy, too, so I’m probably not on the best device either.
184 00:18:29.780 ⇒ 00:18:31.100 Uttam Kumaran: Makes sense. Okay.
185 00:18:32.680 ⇒ 00:18:37.939 Uttam Kumaran: Cool. I mean, I just had a couple things. I was gonna send this note. I started this, like, sales…
186 00:18:38.420 ⇒ 00:18:43.629 Uttam Kumaran: leadership channel. I’ll just send it, and basically I was just gonna… I’ll just say what I was gonna…
187 00:18:44.220 ⇒ 00:18:47.030 Uttam Kumaran: I’ll just read out what I was gonna say there anyways.
188 00:18:48.900 ⇒ 00:18:55.270 Uttam Kumaran: And I’ll add Yuriko here, sorry. I’m kind of thinking of, like, a couple of pivots this week.
189 00:18:55.410 ⇒ 00:18:59.949 Uttam Kumaran: And… I just wanna, like…
190 00:19:00.400 ⇒ 00:19:05.390 Uttam Kumaran: Think about, making some, like, deeper changes.
191 00:19:05.540 ⇒ 00:19:18.249 Uttam Kumaran: I think part of, like, what I’ll say broadly is, like, change is not easy, and I think, Bryl, you kind of saw it firsthand today, that I felt like you were… you knew this Mustafa thing wasn’t working for 3 weeks.
192 00:19:18.440 ⇒ 00:19:36.159 Uttam Kumaran: And then on Friday, you were like, let me still give it another shot. Today, I was like, move them out, I’m gonna make some changes. So what I want… I wanted to get more in the habit of, like, hey, a week goes by, we don’t see what we’re needing, and we need to pivot. There’s only 52 weeks in a year, and some of those are holidays.
193 00:19:36.270 ⇒ 00:19:50.379 Uttam Kumaran: it’s not many shots on goal for a business like ours, you know, that our shots are… we have to take as many as we can. And so, I think that’s a good reminder for, like, if things are taking more than a week around here, and that client
194 00:19:50.790 ⇒ 00:19:55.749 Uttam Kumaran: it’s, like, not a client thing, then they’re, like, fine with it. We should be really suspect, you know?
195 00:19:55.980 ⇒ 00:20:13.190 Uttam Kumaran: And oftentimes, you’re gonna see there’s external dependencies. Like, Rico, you’re seeing that, like, Leo Luna is slow, Holly is slow, like, people aren’t getting back to us. We just have to demand and push. Like, yes, we’re paying people, and we’ll find new people if it’s a chronic.
196 00:20:13.400 ⇒ 00:20:16.759 Uttam Kumaran: But ultimately, the best way is just to keep knocking on the door.
197 00:20:16.920 ⇒ 00:20:19.330 Uttam Kumaran: But I really want to see us, like.
198 00:20:19.910 ⇒ 00:20:38.189 Uttam Kumaran: crushed through things. We’re already, like, kind of mid-Q2, and, like, Lisa also has a sense of urgency. We, all of us here have that, and so, like, we just keep acting on it, like, just keep knocking on the door. So a couple things that I’m, like, gonna basically kind of change, I think, starting today.
199 00:20:38.260 ⇒ 00:20:56.329 Uttam Kumaran: like, I feel really comfortable handing, Lisa, like, the Snowflake, the AWS, the GCP relationships to, like, move forward. I think she has, like, quite a bit of the contacts, tons of knowledge, and she really effectively is able to utilize me, to, like, push me to go do things to help her, so that’s great.
200 00:20:56.370 ⇒ 00:21:03.500 Uttam Kumaran: we are blocked by certifications, like, pretty squarely on Snowflake. I think Mustafa kind of, like, dropped the ball there.
201 00:21:03.610 ⇒ 00:21:05.159 Uttam Kumaran: And, like, I also think…
202 00:21:05.750 ⇒ 00:21:19.870 Uttam Kumaran: what you’re going to kind of see as I move to the bottom of the list is there’s just some people in the company who are not going to be able to drive our, like, at our speed or our direction. Those people are going to remain as ICs and just, like, wake up, clock in, clock out.
203 00:21:20.240 ⇒ 00:21:24.310 Uttam Kumaran: But for the folks that are, we should just, like, layer on. So…
204 00:21:24.540 ⇒ 00:21:42.010 Uttam Kumaran: One is, like, my focus this week is to get us all those certs out the door. The second thing is, like, I… we’re gonna be shedding, looks like this month, at least default, if not default, and Magic Spoon. These are 100% data clients of ours.
205 00:21:42.310 ⇒ 00:21:51.340 Uttam Kumaran: part of the reason I’m okay with shedding them is at the… kind of the hypothesis that these, vendor partners
206 00:21:51.450 ⇒ 00:21:58.839 Uttam Kumaran: have hot leads ready for us to execute, and belief in, like, basically Robert and team’s, like, pipeline, that the money will come in.
207 00:21:58.970 ⇒ 00:22:10.420 Uttam Kumaran: And those clients are a remnant of, like, an old strategy, which is, like, all data. Also, one of those clients is paying us, like, nothing. The other client is, like, a startup.
208 00:22:10.540 ⇒ 00:22:24.239 Uttam Kumaran: both are sort of out of our ICP, you know, with those traits. So, I’m excited. Second thing is, like, I’ve been kind of probably spending too much time trying to get the platform all stood up alone.
209 00:22:24.240 ⇒ 00:22:37.050 Uttam Kumaran: I feel kind of on the edge of, like, what I need in order to handle, like, any type of AI strategy conversation, all the way technical and all the way sort of business, so I’m gonna kind of move
210 00:22:37.070 ⇒ 00:22:39.959 Uttam Kumaran: basically, Davis is coming on, Mustafa’s coming on.
211 00:22:39.990 ⇒ 00:22:50.269 Uttam Kumaran: Purely just to push that stuff forward. I can’t… there’s not really anybody else in the company that I feel like has the pace and, like, the perseverance.
212 00:22:50.330 ⇒ 00:23:01.349 Uttam Kumaran: To execute on those things, apart from those two, so I’m gonna just have them come on and try to bust down all these items, like getting work set up, getting the Slack assistant set up, things like that.
213 00:23:01.840 ⇒ 00:23:10.649 Uttam Kumaran: Those aren’t just for us, though. Those are all part of, like, our sales engineering kit, on, like, things we can show prospective clients.
214 00:23:10.650 ⇒ 00:23:13.279 Kaela Gallagher: Also, what we’re calling context engineering.
215 00:23:13.770 ⇒ 00:23:15.989 Kaela Gallagher: Sales engineering, context engineering, from.
216 00:23:15.990 ⇒ 00:23:30.320 Uttam Kumaran: No, context engineering is, like, in our company, right, we have stuff from Zoom, we have Docs, we have Notion. Context engineering is, like, getting all that in a place where Kayla can just, like, ask her, sir, and it gives you all the relevant information.
217 00:23:31.150 ⇒ 00:23:44.120 Uttam Kumaran: This is, like, actual, like, someone needs to build that platform, and what we’re calling these surfaces. Like, cursor is a surface that we bought from somebody, we want our own version of that.
218 00:23:44.230 ⇒ 00:23:57.489 Uttam Kumaran: Because we’re going to go to clients, and they’re gonna say, we want to build our own version of that. And so, some of these I’ve taken, like, 60-70% of the way there, and the last mile, I’m not able to do. So, I’m just gonna bring… move these folks on to do it.
219 00:23:57.770 ⇒ 00:24:00.940 Uttam Kumaran: In doing that, I’m also gonna turn them into, like.
220 00:24:01.920 ⇒ 00:24:07.569 Uttam Kumaran: kind of, like, what our probably new class of, like, engineers are gonna be, which is, like, these, like, AI engineers.
221 00:24:07.700 ⇒ 00:24:19.759 Uttam Kumaran: people with, like, not really a lot of subject matter expertise, but with an execution pace that really makes them stand out. Like, they can walk into any situation and build whatever’s needed.
222 00:24:19.980 ⇒ 00:24:35.760 Uttam Kumaran: And so, like, with that, like, I think there’s gonna be some, probably, questions that are coming from Pranav and Sam. Frankly, like, I can handle those, but also, like, they have 120 hours across them for 2 clients right now, and that’s beyond the margin anyways.
223 00:24:36.610 ⇒ 00:24:52.489 Uttam Kumaran: frankly, like, from Robert, it’s not clear that Eden AI is gonna continue. ABC, they should just continue to do a good job there until another… someone else can absorb that. So, what I’m not seeing from… from those two, from Sam, is, like, a real, like.
224 00:24:52.720 ⇒ 00:25:08.980 Uttam Kumaran: hey, I’m gonna grind this thing out in an irrelevant time. For Pranav, I’m not seeing the level of, like, AI technical depth that I need for someone to be an AI strategist. I think with Pranav, I’m gonna give him that feedback, and then see, like, if he can… if he can get there.
225 00:25:09.360 ⇒ 00:25:13.790 Uttam Kumaran: But for now, like, the people I’m pitching for that role is, like, Amber and Greg.
226 00:25:14.100 ⇒ 00:25:24.600 Uttam Kumaran: I think both of them… I just talked to Greg, I will talk to Amber by the end of the day. I think both of them are interested in that role. This is gonna be basically, like, coming with me to, like, anything that’s, like.
227 00:25:25.180 ⇒ 00:25:26.810 Uttam Kumaran: pure AI strategy.
228 00:25:27.460 ⇒ 00:25:32.240 Uttam Kumaran: And I think, Robert, that’s… that’s how I’m gonna be able to fulfill the delivery of, like, some of these deals.
229 00:25:32.670 ⇒ 00:25:37.979 Uttam Kumaran: So I don’t know when I’m gonna do this.
230 00:25:38.190 ⇒ 00:25:43.889 Uttam Kumaran: But as soon as I have some confidence, I will do this, so ideally, in the next 2 weeks.
231 00:25:46.300 ⇒ 00:26:05.419 Uttam Kumaran: So, they’re still working on stuff, but frankly, I just want to spend my time with this group and get this group accelerating, because we’re going to be able to bill 200, 300, 400 an hour for their time, and so, it’s totally worth it. And then for me, I’m just focusing on EY, CTA, and Element. Yeah, like.
232 00:26:05.560 ⇒ 00:26:09.420 Uttam Kumaran: the EY stuff is… So slow.
233 00:26:09.920 ⇒ 00:26:12.470 Uttam Kumaran: And…
234 00:26:14.110 ⇒ 00:26:25.330 Uttam Kumaran: Lisa really said it to me straight. She’s like, this is the number one opportunity. We could probably build an entire business just off the back of UI, if I can get this vendor thing through.
235 00:26:25.480 ⇒ 00:26:28.100 Uttam Kumaran: let alone… everything else.
236 00:26:28.440 ⇒ 00:26:34.829 Uttam Kumaran: So Claire, the partner who’s sponsoring us, is gonna be at Snowflake Summit. I’m… I just met most of the team.
237 00:26:36.080 ⇒ 00:26:44.320 Uttam Kumaran: that CTA and Element is, like, all I really have bandwidth to, like, make sure we nail, but frankly, element I want to see Greg take.
238 00:26:44.650 ⇒ 00:26:49.510 Uttam Kumaran: and then EY and CTA, and then whatever comes next in AI Strategies, like, where I’m gonna move, so…
239 00:26:51.830 ⇒ 00:26:59.439 Uttam Kumaran: Yeah, that’s… I think, Robert, I don’t know if, like, if that kind of matches what you need on the sales side to make your stuff happen, but, like.
240 00:26:59.910 ⇒ 00:27:07.080 Uttam Kumaran: I’ve also… I would love to hear, Kayla, like, how your recruiting strategy sort of ladders into this as well, but,
241 00:27:08.000 ⇒ 00:27:12.009 Uttam Kumaran: Yeah, I feel like I mentioned some of this on Friday, but I kind of thought about it a little bit more.
242 00:27:17.910 ⇒ 00:27:22.839 Kaela Gallagher: I think on… on the people and recruiting side, like, I think we’re learning
243 00:27:23.000 ⇒ 00:27:35.970 Kaela Gallagher: internally what we need to be looking for now as we’re bringing new people in. I think so far, the latest batch of candidates has been kind of this new…
244 00:27:36.470 ⇒ 00:27:41.249 Kaela Gallagher: AI strategist, AI engineer,
245 00:27:41.420 ⇒ 00:27:51.380 Kaela Gallagher: bunch that are kind of, like, young, hungry, work at a fast pace, maybe have done consulting, on their own, maybe they’re a founder,
246 00:27:51.800 ⇒ 00:27:57.899 Kaela Gallagher: So I’m excited to see them come through. I know Bea are going to be meeting, some of them soon, but…
247 00:27:58.160 ⇒ 00:28:02.740 Kaela Gallagher: I haven’t gotten the chance to talk to every single one myself, but they seem exciting so far.
248 00:28:03.370 ⇒ 00:28:08.419 Kaela Gallagher: we can continue adjusting, too, as they’re coming through. Like, B, if you’re not seeing certain…
249 00:28:08.580 ⇒ 00:28:11.190 Kaela Gallagher: Skills or qualities in them, let me know.
250 00:28:11.660 ⇒ 00:28:15.190 Uttam Kumaran: Yeah, so we’re also changing who interviews those people, like, I kind of probably…
251 00:28:15.440 ⇒ 00:28:18.090 Uttam Kumaran: I think, B, you’re gonna do the first round.
252 00:28:18.320 ⇒ 00:28:18.980 Kaela Gallagher: Yeah.
253 00:28:18.980 ⇒ 00:28:25.529 Uttam Kumaran: I don’t really care… I wanna… I’ll say it really clear, I don’t really care if they, like, even know, like, core engineering concepts.
254 00:28:25.620 ⇒ 00:28:44.129 Uttam Kumaran: really care about, like, what they’ve produced and the pace, and, like, if they understand skills and, like, the core engineering concepts around AI, right? Because I can teach, like, I’ve taught Davis now core software lifecycle best practices, but I can’t teach, like, hey, I think I can get this done in the next 2 hours.
255 00:28:44.180 ⇒ 00:28:46.530 Uttam Kumaran: See what I mean? Because you have to have seen that.
256 00:28:46.600 ⇒ 00:28:49.839 Uttam Kumaran: And so that’s why I want you to have a super high bar.
257 00:28:51.340 ⇒ 00:29:09.629 Uttam Kumaran: you’re looking for someone that’s like you, someone that’s like me, someone that’s like Mustafa, you know, like, people that are actually really good builders. The other bucket is this AI strategist. Like, there are gonna be some people that we find for the AI role that aren’t the builders, right? But they can explain these concepts.
258 00:29:09.980 ⇒ 00:29:13.079 Uttam Kumaran: And, like, I want us to think about those two categories of people.
259 00:29:13.410 ⇒ 00:29:17.270 Uttam Kumaran: There’s gonna be some people in the middle who, they wanna get into this in their career.
260 00:29:17.450 ⇒ 00:29:19.539 Uttam Kumaran: Or there’s gonna be some people that are, like.
261 00:29:19.980 ⇒ 00:29:23.000 Uttam Kumaran: Yeah, I use, like, I use Claude.
262 00:29:23.320 ⇒ 00:29:26.110 Uttam Kumaran: I use Claude, but, like, I’ve never built a skill before.
263 00:29:26.230 ⇒ 00:29:27.810 Uttam Kumaran: Both of those people cannot…
264 00:29:27.970 ⇒ 00:29:34.009 Uttam Kumaran: Yeah, they’ll fit the bill. You know what I mean? Yeah. Ultimately, ahead of you on the… yeah, sorry, go ahead, Kayla.
265 00:29:34.290 ⇒ 00:29:37.199 Kaela Gallagher: I was gonna say, today I’ll be adjusting the interview.
266 00:29:37.200 ⇒ 00:29:37.520 Uttam Kumaran: Sure.
267 00:29:37.520 ⇒ 00:29:49.619 Kaela Gallagher: as well, like, I’m gonna go back through our AI questions for every single round, and just adjust too. So, B, like, when you’re doing interviews, you should have a set of questions that are really relevant to what we’re looking for.
268 00:29:50.100 ⇒ 00:29:50.620 Brylle Girang: Yeah.
269 00:29:51.020 ⇒ 00:29:53.310 Kaela Gallagher: And I’ll… I’ll have that done end of day today.
270 00:30:04.020 ⇒ 00:30:07.299 Uttam Kumaran: And then, so basically, I kind of want B for you to do the first one.
271 00:30:08.300 ⇒ 00:30:16.389 Uttam Kumaran: Ideally, like, I may even ask Amber to do the second one, and then we kind of move, because I just don’t think Sam is gonna be a good judge of pace.
272 00:30:16.870 ⇒ 00:30:23.720 Uttam Kumaran: I think he was a good judge when, like, we needed sort of these deep technical expertise, but, like, if you take a Davis, I think he would have screened out.
273 00:30:24.260 ⇒ 00:30:25.060 Uttam Kumaran: Right?
274 00:30:25.200 ⇒ 00:30:28.769 Uttam Kumaran: So… Let’s see how this first one goes, B.
275 00:30:30.970 ⇒ 00:30:36.969 Kaela Gallagher: Can I give my two cents on the technical? I don’t think having Amber do the second round.
276 00:30:36.970 ⇒ 00:30:37.919 Uttam Kumaran: Okay, yeah, sorry, no.
277 00:30:37.920 ⇒ 00:30:38.290 Kaela Gallagher: events.
278 00:30:38.510 ⇒ 00:30:49.380 Kaela Gallagher: Because, respectfully to Amber, like, she was not the hardest grader when she was part of the interview process. Pranav is pretty…
279 00:30:49.380 ⇒ 00:30:50.020 Uttam Kumaran: Okay, okay.
280 00:30:50.020 ⇒ 00:30:56.049 Kaela Gallagher: critical, like, I feel like keeping him as a second round is okay. For now. We can adjust later.
281 00:30:56.340 ⇒ 00:31:01.529 Uttam Kumaran: Yeah, then I think it’s, like, you, Pranava Wesh, who I’m, like, kind of thinking most about, like, making sure that
282 00:31:01.800 ⇒ 00:31:07.350 Uttam Kumaran: we don’t bring in people that don’t have depth. Awish will have to kind of pick up a little more AI stuff, but…
283 00:31:07.470 ⇒ 00:31:10.349 Uttam Kumaran: Okay, that makes sense. I feel good about that.
284 00:31:10.600 ⇒ 00:31:17.140 Kaela Gallagher: Okay, and then I’m still gonna have Sam involved in the final round, he can sit on the panel, he can ask questions, you know.
285 00:31:17.430 ⇒ 00:31:18.310 Uttam Kumaran: Sure.
286 00:31:18.310 ⇒ 00:31:18.910 Kaela Gallagher: Okay.
287 00:31:19.650 ⇒ 00:31:20.330 Kaela Gallagher: Cool.
288 00:31:23.440 ⇒ 00:31:31.000 Brylle Girang: I know that we talk about the work trials, the thing that Linear has been doing. Are we also going to implement that anytime soon?
289 00:31:31.270 ⇒ 00:31:34.639 Uttam Kumaran: Yeah, I guess, Kayla, I wonder what you… what you think about that.
290 00:31:35.000 ⇒ 00:31:38.560 Kaela Gallagher: I think for some roles, it’s not realistic to…
291 00:31:38.990 ⇒ 00:31:42.629 Kaela Gallagher: figure out somebody’s skill set within 3 days.
292 00:31:42.630 ⇒ 00:31:45.140 Uttam Kumaran: But I guess, like, what… what… I would say, what roles…
293 00:31:45.400 ⇒ 00:31:49.460 Uttam Kumaran: Do you feel like, like, outside of delivery, Fair.
294 00:31:49.460 ⇒ 00:31:52.230 Kaela Gallagher: That’s what I was going to say, is anything like…
295 00:31:52.630 ⇒ 00:31:59.980 Kaela Gallagher: client-facing, I feel like there’s a little bit more of a ramp-up of, like, learning the client, building trust with the client.
296 00:32:00.420 ⇒ 00:32:03.729 Uttam Kumaran: But I guess I would say, like, we’re not looking for…
297 00:32:04.440 ⇒ 00:32:07.440 Uttam Kumaran: We’re not necessarily looking for
298 00:32:08.400 ⇒ 00:32:15.679 Uttam Kumaran: like, I’m not looking for you to win a certain client, I’m looking for you to win, and I’m gonna put you on a client, right? So I think in 3 days.
299 00:32:16.160 ⇒ 00:32:23.149 Uttam Kumaran: I could basically say, deliver me a couple of these work products, and kind of judge immediately, like, how you show up, you know?
300 00:32:23.330 ⇒ 00:32:33.010 Uttam Kumaran: But the thing is, like, we won’t do that trial on a client, because I can’t have the client go through this, like, change management. But I will say, cool, you’re gonna join the L&D team this week.
301 00:32:33.150 ⇒ 00:32:37.839 Uttam Kumaran: B is gonna maybe give you, like, a deck to create, or, like, a task to do.
302 00:32:38.130 ⇒ 00:32:40.800 Uttam Kumaran: And, like, your job is just to deliver on that task.
303 00:32:41.120 ⇒ 00:32:44.810 Uttam Kumaran: And, like, I think that’s a… that’s a fair…
304 00:32:45.300 ⇒ 00:32:49.170 Uttam Kumaran: that’s a fair judge. It’s not a 30-day trial.
305 00:32:50.200 ⇒ 00:32:52.610 Uttam Kumaran: But I kind of do like a 5-day…
306 00:32:53.200 ⇒ 00:33:08.800 Uttam Kumaran: a 5-day trial, like, Davis’s thing was kind of, like, a week and a half, culminated in the sort of, like, him interacting with B, him interacting with so-and-so, doing this presentation, interacting with me. Like, I sort of watched, are you asking questions, things like that.
307 00:33:09.030 ⇒ 00:33:09.990 Uttam Kumaran: Yeah.
308 00:33:10.100 ⇒ 00:33:17.050 Uttam Kumaran: And, like, that’s more than enough for me to be like, cool, like, this is good. Ultimately, like, we will give feedback, but…
309 00:33:17.150 ⇒ 00:33:22.379 Uttam Kumaran: It’s a cheaper way to find out than to onboard Someone onto a client?
310 00:33:22.530 ⇒ 00:33:24.870 Uttam Kumaran: And not everybody is going to be able to do this.
311 00:33:25.250 ⇒ 00:33:25.810 Kaela Gallagher: Right.
312 00:33:25.810 ⇒ 00:33:26.540 Uttam Kumaran: For those…
313 00:33:26.540 ⇒ 00:33:38.790 Kaela Gallagher: Think of, like, the recent people that we’ve had, like, okay, Nikhil, who’s joining next week, like, he was working full-time. Like, maybe he could have done something like this, you know.
314 00:33:38.970 ⇒ 00:33:45.119 Kaela Gallagher: In his off hours, and given us maybe 10 hours of work ahead of time, or something like that, but…
315 00:33:45.280 ⇒ 00:33:55.480 Kaela Gallagher: the logistics for him would have been tougher, whereas, like, with this AI engineer that we’re bringing in, okay, maybe, maybe we can have something that’s like Davis.
316 00:33:55.480 ⇒ 00:33:57.979 Uttam Kumaran: Yeah, I think that’s… I should think that should be the exception.
317 00:33:58.230 ⇒ 00:34:01.579 Uttam Kumaran: Like, if I would have said, if Nikhil can’t do it.
318 00:34:01.890 ⇒ 00:34:06.940 Uttam Kumaran: His presentation was good enough that I believe he’ll be fine. Like, I’m putting my stamp on it.
319 00:34:07.210 ⇒ 00:34:09.570 Uttam Kumaran: But if people can do a trial, like.
320 00:34:11.659 ⇒ 00:34:16.569 Kaela Gallagher: Yeah, if they can, then why not? I think we’ve done trials for most people that have.
321 00:34:16.570 ⇒ 00:34:18.419 Uttam Kumaran: And I think, I would say Yeah, what?
322 00:34:18.420 ⇒ 00:34:19.330 Kaela Gallagher: about length.
323 00:34:19.840 ⇒ 00:34:20.540 Uttam Kumaran: Yeah.
324 00:34:21.739 ⇒ 00:34:24.440 Uttam Kumaran: So you don’t think we should do… we could do a one-week trial?
325 00:34:26.159 ⇒ 00:34:30.579 Kaela Gallagher: I think it depends on the role. If… if we have very specific, like.
326 00:34:30.580 ⇒ 00:34:34.980 Uttam Kumaran: Not just delivery, I’m just focused on delivery, just engineering.
327 00:34:34.980 ⇒ 00:34:36.929 Kaela Gallagher: I’m sorry about engineering. Okay!
328 00:34:37.170 ⇒ 00:34:51.870 Kaela Gallagher: I am down to do that, as long as we have something very defined for them that they can hit the ground running with, like, day one. Like, this is going to be your project, and before they even start their first 30 minutes at Brainforge, they know what they need to accomplish.
329 00:34:52.860 ⇒ 00:34:54.389 Uttam Kumaran: Okay, that’s fair pushback.
330 00:34:55.320 ⇒ 00:34:55.860 Kaela Gallagher: Because…
331 00:34:55.860 ⇒ 00:34:59.159 Robert Tseng: We’re at a place to be able to do it, yeah. Like, we need to have, like…
332 00:34:59.160 ⇒ 00:35:01.370 Kaela Gallagher: Like, go ahead, Robert, sorry.
333 00:35:01.370 ⇒ 00:35:04.160 Robert Tseng: No, I was just gonna say, I don’t think we have, like.
334 00:35:04.460 ⇒ 00:35:22.860 Robert Tseng: you know, in a world where we have, like, 50 AI clients all doing the same thing to start with, and, like, we can just, like, pluck it off, we run it so many times that we know how long it should take, we can benchmark it against our best performers, and then we, like, slot someone in you to see if they can take it on. Like, I feel like we need, like, something like that in order to, like.
335 00:35:22.860 ⇒ 00:35:25.310 Robert Tseng: Measure them well, just in a few days.
336 00:35:28.350 ⇒ 00:35:37.819 Robert Tseng: The problems that we’re solving are not defined clearly enough, like, so much of it is hard… like, there’s just… there’s just too many variables that you… you wouldn’t… that you wouldn’t be able to isolate what you’re, like.
337 00:35:37.830 ⇒ 00:35:43.730 Robert Tseng: what you’re trying to evaluate them on. You wouldn’t risk throwing them in front of a client. They can’t gather requirements.
338 00:35:43.730 ⇒ 00:35:58.360 Robert Tseng: So, it would have to be just picking up a ticket and trying… or, like, maybe not it’s a ticket, but it… you know, picking some… some… something that they can go and run on… on… on their own using… using our tools, or something like that. Like, it has to be, like, pretty separate from, like, the client.
339 00:35:59.330 ⇒ 00:36:18.930 Uttam Kumaran: Yeah, I don’t think they would come onto a client engagement during the trial, but I do think there are some intangibles that people have joined and then they aren’t able to do. Like, are you able to ask Slack questions when you get stuck? Do you come prepared to a meeting? Like, do you take… like, are the work products you produce, like, half-decent? Like.
340 00:36:20.120 ⇒ 00:36:24.250 Uttam Kumaran: That’s… that’s a couple things that I just, like, feel like in 5 days, we totally can…
341 00:36:24.510 ⇒ 00:36:37.339 Uttam Kumaran: figure that out, and they could just come onto an internal project. Like, I would just shove them into B’s team. B’s like, hey, I need… I need someone to make a deck or, like, a roadmap for this. And, like, I’m your stakeholder.
342 00:36:37.710 ⇒ 00:36:52.529 Uttam Kumaran: we do planning on Monday, and I want to see you talk in Slack. I want to see you call some of the external stakeholders to gather requirements, present. Like, some people, we can’t judge, like, are they waking up and sending an update in Slack? Are they open to Slack? Like.
343 00:36:52.530 ⇒ 00:37:10.629 Uttam Kumaran: things like that. It’s hard… I don’t know how we do that during the interview, right? And those have been things that have continuously disqualified people, like, Garrett struggled with it, Miranda struggled with it, and, like, I would have liked to see that. We did see it during Miranda’s trial, we saw it during Garrett’s trial. Took 30 days, though. Like, my point is, like.
344 00:37:11.300 ⇒ 00:37:13.980 Uttam Kumaran: Could we have found those signals in 5?
345 00:37:15.730 ⇒ 00:37:18.809 Kaela Gallagher: So I think that’s more of, like, a communication…
346 00:37:18.950 ⇒ 00:37:38.310 Kaela Gallagher: loop between us, because Garrett’s trial was 90 days, but we ended that early because we figured out it wasn’t working. And, like, Jayden starts today, her trial’s 30 days, but let’s say week one, like, we get really bad signals, then, you know, we can end it. There’s nothing…
347 00:37:38.310 ⇒ 00:37:41.490 Uttam Kumaran: I just… I think my point is, I think 30 days is too long.
348 00:37:41.940 ⇒ 00:37:44.500 Uttam Kumaran: We don’t have that many 30 days a year.
349 00:37:44.880 ⇒ 00:37:49.740 Uttam Kumaran: And I would rather force us to cut it even if we cut it to 2 weeks.
350 00:37:50.260 ⇒ 00:37:51.749 Uttam Kumaran: I do think…
351 00:37:52.070 ⇒ 00:37:58.619 Uttam Kumaran: We all have a pretty good instinct about some of these things, and we could figure it out in a week if, yes, we give them a fair shot.
352 00:38:01.540 ⇒ 00:38:05.409 Uttam Kumaran: like… I think 2 weeks is more than fair.
353 00:38:05.870 ⇒ 00:38:08.839 Uttam Kumaran: Like, if we don’t know we want to work with someone in two weeks, like…
354 00:38:09.610 ⇒ 00:38:11.509 Uttam Kumaran: That’s a long time, you know?
355 00:38:13.500 ⇒ 00:38:14.310 Kaela Gallagher: Yeah.
356 00:38:15.300 ⇒ 00:38:19.430 Kaela Gallagher: I have a project our AI engineer could do for their trial.
357 00:38:20.270 ⇒ 00:38:20.889 Kaela Gallagher: They could build.
358 00:38:20.890 ⇒ 00:38:21.210 Uttam Kumaran: Yeah.
359 00:38:21.410 ⇒ 00:38:23.719 Kaela Gallagher: my ATS.
360 00:38:23.720 ⇒ 00:38:29.360 Uttam Kumaran: Yeah, exactly, but I think it’s like, what? Okay, but immediately you find out if you vibe with them, it’s 5 days.
361 00:38:31.710 ⇒ 00:38:32.970 Uttam Kumaran: I don’t know, I’m like…
362 00:38:34.300 ⇒ 00:38:45.989 Uttam Kumaran: I think we need people that show up on day one, or like, I’ll rock it, thanks, let’s… I’ll see, like, I’ll message you guys when I need stuff. We’re babe… I think we’re… it’s, like, so much bathing, like, too much bathing, like, I don’t know.
363 00:38:48.190 ⇒ 00:38:50.830 Kaela Gallagher: Do you think a 5-day trial
364 00:38:52.500 ⇒ 00:38:55.149 Kaela Gallagher: Doesn’t give somebody time to, like.
365 00:38:55.800 ⇒ 00:39:01.330 Kaela Gallagher: I don’t know, onboard properly and, like, really build strong foundations and things.
366 00:39:02.170 ⇒ 00:39:10.619 Uttam Kumaran: I joined this EY call, I asked great questions, immediately 5 of them texted Clarence, like, wow, yeah, this guy’s gonna work out.
367 00:39:11.650 ⇒ 00:39:19.349 Uttam Kumaran: Okay, what, like, how were we not expecting that out of our people? You know, show up, you have 5… you have 5 days to make a sick impression.
368 00:39:20.200 ⇒ 00:39:22.260 Uttam Kumaran: This is what I’m saying, I think, like.
369 00:39:23.130 ⇒ 00:39:26.179 Uttam Kumaran: I also am typically on the candidate side.
370 00:39:26.490 ⇒ 00:39:31.039 Uttam Kumaran: But… I’m tired of getting burned and spending money getting burned.
371 00:39:31.990 ⇒ 00:39:35.700 Uttam Kumaran: And I want us to, like, change something.
372 00:39:35.990 ⇒ 00:39:47.560 Uttam Kumaran: I think we already do such a… we give people great expectations, we give them 30, 60-, 90-day roadmaps, like, we’re a great place to work, it’s fully remote, it’s… we… any AI you want, like.
373 00:39:47.690 ⇒ 00:39:50.770 Uttam Kumaran: There’s not, like, a heavy onboarding process.
374 00:39:52.000 ⇒ 00:40:07.339 Uttam Kumaran: I don’t know. I almost am like, in 5 days, you should come in, you should prove that you can rock it, like… and it will help, like, I told Davis, go call these 4 people in the next, like, 48 hours. Like, don’t end your day without talking to them. Make a good impression. I told Mickey the same thing. Said, you’re in?
375 00:40:07.340 ⇒ 00:40:19.159 Uttam Kumaran: Your job is to go make a good impression. I can’t… I’m not gonna decide on you without you convincing a bunch of other people. Through your work, through the way you work with them, right? He could communicate with Lisa, they have a strategy.
376 00:40:19.630 ⇒ 00:40:24.470 Uttam Kumaran: people… I feel like we’re not… it’s not like we’re just throwing them to the wolves, I’m gonna say, like.
377 00:40:24.710 ⇒ 00:40:28.159 Uttam Kumaran: Over the next 5 days, To make a great impression.
378 00:40:28.620 ⇒ 00:40:31.959 Uttam Kumaran: Right? And if you make a great impression, you have a job.
379 00:40:34.560 ⇒ 00:40:39.809 Uttam Kumaran: I guess I know I’m being, like, very, very, like, forward about this idea, but…
380 00:40:40.970 ⇒ 00:40:47.790 Uttam Kumaran: I don’t know, I just think, like, we’re gonna… I would rather us, like, continue to increase the amount of people we can actually try.
381 00:40:47.940 ⇒ 00:40:52.970 Uttam Kumaran: Versus making, like, You know, 200,000 decisions.
382 00:40:53.330 ⇒ 00:40:56.430 Uttam Kumaran: like… Just have a few hours of interviews.
383 00:40:56.700 ⇒ 00:40:59.759 Uttam Kumaran: So I’d like, if there’s the best… if this is the best of both worlds, like.
384 00:40:59.880 ⇒ 00:41:01.339 Uttam Kumaran: I prefer that, you know?
385 00:41:04.740 ⇒ 00:41:06.780 Uttam Kumaran: Like, even with Nolan, I’m like…
386 00:41:07.610 ⇒ 00:41:15.899 Uttam Kumaran: I could see it, I’m not, like, a hell yeah, so if I’m not a hell yeah, then it’s a no, but what if I was, like, just do a 5-day trial?
387 00:41:19.510 ⇒ 00:41:31.859 Kaela Gallagher: I… I see that perspective, but I also think a 5-day trial is way more time-intensive and resource-intensive than just figuring it out in the interview process. Like…
388 00:41:32.370 ⇒ 00:41:38.239 Kaela Gallagher: Rico and I spend a lot of time onboarding, as much as we’ve, like, automated things, like.
389 00:41:38.240 ⇒ 00:41:39.040 Uttam Kumaran: Okay, okay.
390 00:41:39.040 ⇒ 00:41:50.870 Kaela Gallagher: I’m doing orientation for 3 people today, which is really exciting. It’s the first time I’ve had more than one person in an orientation, but, it is, like, a lot to kind of bring people in and ramp them up, so…
391 00:41:51.880 ⇒ 00:42:04.220 Kaela Gallagher: I don’t know, rather than just leaning towards, like, a bunch of trials, I would rather give people a vote of confidence, even if that’s a two-week… it’s still a trial, we’re still a two-week trial, whatever. Like, just be confident in the people that we’re… we’re bringing…
392 00:42:04.220 ⇒ 00:42:04.570 Uttam Kumaran: Okay.
393 00:42:04.570 ⇒ 00:42:08.480 Kaela Gallagher: Until we have reason not to be. Until they… they show us otherwise.
394 00:42:08.970 ⇒ 00:42:09.570 Uttam Kumaran: Okay.
395 00:42:14.530 ⇒ 00:42:14.920 Kaela Gallagher: Anyways.
396 00:42:14.920 ⇒ 00:42:15.330 Uttam Kumaran: Yeah.
397 00:42:15.330 ⇒ 00:42:16.860 Kaela Gallagher: Any thoughts from anyone?
398 00:42:17.070 ⇒ 00:42:18.250 Kaela Gallagher: Do you agree?
399 00:42:21.300 ⇒ 00:42:22.400 Uttam Kumaran: I think it’s fair.
400 00:42:26.160 ⇒ 00:42:34.600 Uttam Kumaran: I just think you’re gonna get a… yeah, I mean, I just think some people, they have, like, basically, like, an hour to make a good impression in an interview, and maybe that’s the way it should be.
401 00:42:34.720 ⇒ 00:42:38.610 Uttam Kumaran: And, like, maybe you’re right, that’s actually the problem, is, like, they should do that.
402 00:42:39.060 ⇒ 00:42:40.729 Uttam Kumaran: And, like, Nikhil did that.
403 00:42:41.100 ⇒ 00:42:42.700 Uttam Kumaran: Felt like Garrett did that.
404 00:42:43.860 ⇒ 00:42:45.209 Kaela Gallagher: Abdullah did that.
405 00:42:45.210 ⇒ 00:42:46.460 Uttam Kumaran: I’ve duo did that.
406 00:42:47.450 ⇒ 00:42:50.040 Uttam Kumaran: But I also don’t think that’s, like, a great signal.
407 00:42:50.150 ⇒ 00:42:52.039 Uttam Kumaran: Like, I think some people turn it on.
408 00:42:52.790 ⇒ 00:42:55.290 Uttam Kumaran: But… Awesome.
409 00:42:55.290 ⇒ 00:42:56.879 Kaela Gallagher: I need to keep it on.
410 00:42:56.880 ⇒ 00:42:59.769 Uttam Kumaran: Yo, that’s… but that’s actually what I’m saying, is like.
411 00:43:00.000 ⇒ 00:43:12.719 Uttam Kumaran: all right, do 5 days, like, now you did one, you did 2, or 3, or do five days, but you’re right, like, we could let people go after 5 days if we didn’t feel it. Maybe that’s more of the thing I’m looking for, is like, if I don’t… if we don’t feel it, we should cut it early.
412 00:43:12.720 ⇒ 00:43:13.849 Kaela Gallagher: it sooner, yeah.
413 00:43:13.850 ⇒ 00:43:15.430 Uttam Kumaran: Okay, okay, okay, okay.
414 00:43:15.430 ⇒ 00:43:16.030 Kaela Gallagher: Yeah.
415 00:43:17.370 ⇒ 00:43:18.040 Uttam Kumaran: Alright.
416 00:43:18.420 ⇒ 00:43:21.999 Kaela Gallagher: And, of course, like, we can continue doing trials
417 00:43:22.970 ⇒ 00:43:28.099 Kaela Gallagher: We’re gonna have to probably make exceptions at certain points, but yeah, we can continue leaning on trials.
418 00:43:28.300 ⇒ 00:43:28.920 Uttam Kumaran: Okay.
419 00:43:37.270 ⇒ 00:43:39.770 Uttam Kumaran: Okay, that’s what I had for my side.
420 00:43:40.720 ⇒ 00:43:48.280 Uttam Kumaran: Recruiting. I don’t know, Robert, anything else this week on, like, Sales, or… otherwise…
421 00:43:49.580 ⇒ 00:43:52.020 Robert Tseng: Nope, I ran my sales meeting already.
422 00:43:52.200 ⇒ 00:43:52.790 Uttam Kumaran: Okay.
423 00:43:55.050 ⇒ 00:43:59.370 Uttam Kumaran: We have a bunch of travel, so I think, Rico, we need to think about something around, like.
424 00:43:59.940 ⇒ 00:44:02.100 Uttam Kumaran: The travel booking process?
425 00:44:02.280 ⇒ 00:44:04.580 Uttam Kumaran: Like, people’s preferences and everything.
426 00:44:05.280 ⇒ 00:44:08.160 Uttam Kumaran: I’m clearly the one blocking you on some of that.
427 00:44:08.750 ⇒ 00:44:12.080 Uttam Kumaran: I also think my calendar is gonna start to get, like.
428 00:44:12.400 ⇒ 00:44:16.399 Uttam Kumaran: Pretty tough, so a lot of people are like, when are you going to this, or when can I book this?
429 00:44:16.790 ⇒ 00:44:18.660 Uttam Kumaran: So, I may need some help there.
430 00:44:22.700 ⇒ 00:44:24.639 Rico Rejoso: Yeah, I mean, we can all…
431 00:44:25.330 ⇒ 00:44:42.690 Rico Rejoso: I mean, we can ask them if they prefer their… I mean, the time that they would prefer to the earnest that they would go to, and that’s where we can provide them options or other options with. Maybe that’s when we can book it by then. So, I mean, we got… I mean, our upcoming, travel to… where was it?
432 00:44:42.980 ⇒ 00:44:44.060 Rico Rejoso: to DC.
433 00:44:44.280 ⇒ 00:44:44.880 Uttam Kumaran: Yeah.
434 00:44:45.290 ⇒ 00:44:50.570 Rico Rejoso: We got that good, we just need the accommodation, or the place that you’re gonna stay into.
435 00:44:51.590 ⇒ 00:44:52.779 Uttam Kumaran: Yeah, okay, okay.
436 00:44:52.780 ⇒ 00:44:54.089 Robert Tseng: Who’s going with you to that?
437 00:44:55.130 ⇒ 00:44:55.970 Uttam Kumaran: Amber?
438 00:44:56.420 ⇒ 00:44:56.840 Robert Tseng: Oh.
439 00:44:56.840 ⇒ 00:44:59.699 Uttam Kumaran: Not to the Pitt… not to Pittsburgh, I’m just going there alone.
440 00:44:59.930 ⇒ 00:45:00.520 Robert Tseng: Okay.
441 00:45:01.510 ⇒ 00:45:03.940 Uttam Kumaran: Yeah.
442 00:45:04.110 ⇒ 00:45:07.310 Kaela Gallagher: Speaking of… Travel.
443 00:45:07.790 ⇒ 00:45:12.679 Kaela Gallagher: What’s going on with the hackathon? That’s this weekend, right?
444 00:45:12.680 ⇒ 00:45:16.480 Uttam Kumaran: Yeah, I need to get an email from him. Yeah, we need to decide,
445 00:45:16.790 ⇒ 00:45:21.359 Uttam Kumaran: I mean, I think Mickey’s gonna be here… Can also,
446 00:45:22.780 ⇒ 00:45:27.540 Uttam Kumaran: I’m gonna be here Saturday, Sunday. I’m gonna be here Friday, Saturday, for the kickoff.
447 00:45:28.090 ⇒ 00:45:32.000 Uttam Kumaran: But yeah, maybe we can chat, I don’t know…
448 00:45:32.450 ⇒ 00:45:38.840 Uttam Kumaran: I guess it’d be Kayla, if, like, I don’t know if you’re free on Sunday that you want to come, or I can see if anyone else from LA
449 00:45:39.400 ⇒ 00:45:41.079 Uttam Kumaran: Or Pranav wants to come.
450 00:45:42.180 ⇒ 00:45:43.649 Uttam Kumaran: Just to sort of judge.
451 00:45:45.660 ⇒ 00:45:52.369 Kaela Gallagher: I… I… am willing to. I don’t know that I’m the most qualified judge of a…
452 00:45:52.580 ⇒ 00:45:56.770 Kaela Gallagher: Hackathon of a technical competition.
453 00:45:58.960 ⇒ 00:46:00.529 Uttam Kumaran: Then, let me see…
454 00:46:00.530 ⇒ 00:46:02.899 Kaela Gallagher: Kranov would be down to see his girlfriend.
455 00:46:03.360 ⇒ 00:46:05.339 Uttam Kumaran: Okay, alright, let me ask for a nod, then.
456 00:46:05.800 ⇒ 00:46:09.539 Uttam Kumaran: Because I’ll have scopes of people out Friday and Saturday.
457 00:46:09.540 ⇒ 00:46:10.279 Kaela Gallagher: Yeah, yeah.
458 00:46:10.280 ⇒ 00:46:15.910 Uttam Kumaran: So it’s not… it’s not like I’m totally out, but I’ll be in Pittsburgh.
459 00:46:16.200 ⇒ 00:46:20.370 Kaela Gallagher: I do want to stay really close to it, though. I think it’s a good hiring opportunity for us.
460 00:46:20.370 ⇒ 00:46:22.870 Uttam Kumaran: Yeah, and I think these guys do well.
461 00:46:24.820 ⇒ 00:46:29.970 Uttam Kumaran: Yeah, they do well, and this one should have a lot of people. Like, it’s pretty well known, like.
462 00:46:30.310 ⇒ 00:46:31.150 Uttam Kumaran: Yeah.
463 00:46:31.480 ⇒ 00:46:34.110 Uttam Kumaran: Like, like, Nolan knows these guys.
464 00:46:35.100 ⇒ 00:46:36.040 Kaela Gallagher: Cool, okay.
465 00:46:36.040 ⇒ 00:46:40.939 Uttam Kumaran: Yeah, like, if you’re an AI here, you know this guy, Jake, so…
466 00:46:40.940 ⇒ 00:46:45.370 Kaela Gallagher: Okay, yeah, he said he would give us a list of everybody attending, so I can…
467 00:46:45.650 ⇒ 00:46:50.780 Uttam Kumaran: Yeah, he… that should be… yeah, so I think… let me… let me message Pranav to see if he wants to come.
468 00:46:52.040 ⇒ 00:46:53.370 Uttam Kumaran: See what he says.
469 00:46:53.760 ⇒ 00:46:55.809 Kaela Gallagher: Okay. Keep me posted.
470 00:46:56.930 ⇒ 00:46:57.620 Uttam Kumaran: Okay.
471 00:46:58.530 ⇒ 00:47:00.520 Kaela Gallagher: And then Nabil…
472 00:47:01.430 ⇒ 00:47:07.130 Kaela Gallagher: Do you want me to call him and offer him, or do you want me to call him and, like, kind of interview?
473 00:47:07.590 ⇒ 00:47:19.530 Uttam Kumaran: No, yeah, I mean, he’s… he’s good. I think just call him and ask him, like, what he’d be looking for. So I think this is where we’re gonna have, like, kind of some… another class of people where it’s like, he’s just sort of like a Navy SEAL we need help with for something.
474 00:47:19.880 ⇒ 00:47:25.130 Uttam Kumaran: like, in particular, we want him to help us, like, with this GCP setup, and, like.
475 00:47:25.730 ⇒ 00:47:27.220 Uttam Kumaran: Getting up to speed.
476 00:47:27.450 ⇒ 00:47:34.110 Uttam Kumaran: So, this is more of a, like… it’s sort of how EY brought me in, because they just, like, needed somebody. I think…
477 00:47:34.470 ⇒ 00:47:42.880 Uttam Kumaran: kind of… what I… but what I do want to do is still, as much as we have an opportunity to negotiate, we do. But it’s helpful to call him. I don’t know if you have…
478 00:47:43.140 ⇒ 00:47:47.160 Uttam Kumaran: I think we should have the transcript of our call with him.
479 00:47:47.400 ⇒ 00:47:49.049 Kaela Gallagher: Cursor didn’t have it.
480 00:47:49.630 ⇒ 00:47:51.780 Uttam Kumaran: Okay, let me see if I can find it.
481 00:47:52.150 ⇒ 00:47:52.570 Kaela Gallagher: Okay.
482 00:47:55.260 ⇒ 00:48:03.039 Kaela Gallagher: So then I can get a little backstory, I can give him a ring, I can scope out the situation. For GCP, you’d want him to be internal.
483 00:48:03.040 ⇒ 00:48:10.650 Uttam Kumaran: Well, he, yeah, no, well, he’s gonna help, no, he may help, like, Robert on some sales stuff, he may also come on some clients, so he’s kind of just, like.
484 00:48:11.580 ⇒ 00:48:12.990 Uttam Kumaran: a consultant.
485 00:48:13.160 ⇒ 00:48:16.849 Uttam Kumaran: Okay. And then I think probably in, like.
486 00:48:17.120 ⇒ 00:48:22.740 Uttam Kumaran: 2 or 3 months, we’ll reevaluate, like, does he want to come with us full-time, or, like, what does he want to do?
487 00:48:23.370 ⇒ 00:48:29.120 Uttam Kumaran: The reason we’re rushing it is we just need… we could just really use his thing right now, and he’s, like, super down.
488 00:48:29.700 ⇒ 00:48:30.080 Kaela Gallagher: Okay.
489 00:48:33.890 ⇒ 00:48:34.610 Kaela Gallagher: Got it.
490 00:48:34.780 ⇒ 00:48:45.609 Uttam Kumaran: And, like, in this stuff, basically, I think I’m interested in, like, what you think. Like, I went and met him in person, he met the team, he’s also helping on the sales side, so part of his budget is primarily coming out of, like.
491 00:48:46.080 ⇒ 00:48:51.470 Uttam Kumaran: sales enablement But, again, like, I…
492 00:48:51.690 ⇒ 00:48:55.900 Uttam Kumaran: Yeah, I talked to him for a while, he’s, like, pretty technical, like, he’ll be just fine.
493 00:49:00.020 ⇒ 00:49:02.659 Uttam Kumaran: But I think this is where it’s, like, you know, almost just accelerates.
494 00:49:03.090 ⇒ 00:49:03.850 Uttam Kumaran: You know…
495 00:49:06.370 ⇒ 00:49:07.080 Kaela Gallagher: Yeah.
496 00:49:10.510 ⇒ 00:49:11.480 Kaela Gallagher: Okay.
497 00:49:12.140 ⇒ 00:49:14.870 Uttam Kumaran: Yeah, I don’t see it here, but maybe I’ll send you a blurb.
498 00:49:17.510 ⇒ 00:49:27.780 Kaela Gallagher: Okay, yeah, if you guys are chatting with people in the future, oh, I’m gonna go grab coffee with somebody today, if you guys can just send me even just their LinkedIn or something, that would be helpful for me to keep track.
499 00:49:29.120 ⇒ 00:49:30.040 Uttam Kumaran: Okay, I will.
500 00:49:31.410 ⇒ 00:49:33.100 Uttam Kumaran: I’ll start to do that, sorry.
501 00:49:33.350 ⇒ 00:49:34.050 Kaela Gallagher: Perfect.
502 00:49:34.050 ⇒ 00:49:40.060 Uttam Kumaran: it kind of happened pretty quick. Like, it was a Vixel follow-up, Yeah, but…
503 00:49:40.060 ⇒ 00:49:42.030 Kaela Gallagher: No, I know things move quickly.
504 00:49:45.210 ⇒ 00:49:52.350 Kaela Gallagher: Okay, Robert, one quick question for you. You tagged me in the Excel
505 00:49:52.920 ⇒ 00:49:55.840 Kaela Gallagher: the Google Sheet for some data.
506 00:49:56.110 ⇒ 00:49:58.799 Kaela Gallagher: Yup. When do you want that completed by?
507 00:49:59.270 ⇒ 00:50:02.729 Robert Tseng: End of week, maybe?
508 00:50:03.200 ⇒ 00:50:04.080 Kaela Gallagher: Okay.
509 00:50:04.240 ⇒ 00:50:05.420 Kaela Gallagher: I…
510 00:50:05.900 ⇒ 00:50:12.519 Kaela Gallagher: am going to… well, first off, I can’t edit the cells, it says they’re protected, but I’m also gonna have to get a little creative.
511 00:50:12.950 ⇒ 00:50:13.920 Kaela Gallagher: with…
512 00:50:14.260 ⇒ 00:50:18.980 Kaela Gallagher: some of these things. I’m not sure where to get some of this data right now, so I’ll keep you posted.
513 00:50:19.240 ⇒ 00:50:25.229 Robert Tseng: Yeah, I think it’s kind of just do your best with what you have, like, I just want to be able to get a snapshot of the quarter.
514 00:50:25.580 ⇒ 00:50:33.540 Kaela Gallagher: Cool, okay. Yeah, like, ESAT, if you’re talking about, like, an NPS score, we didn’t measure that Q1, so that’ll just be NA for now.
515 00:50:34.050 ⇒ 00:50:34.680 Robert Tseng: Yep.
516 00:50:38.080 ⇒ 00:50:40.969 Kaela Gallagher: Okay, I think that’s it on my side, guys.
517 00:50:44.140 ⇒ 00:50:44.970 Robert Tseng: Okay.
518 00:50:46.070 ⇒ 00:50:47.430 Rico Rejoso: Robert.
519 00:50:48.090 ⇒ 00:50:53.989 Rico Rejoso: I did… I mean, I made the edit for the MSA for Eden, if you haven’t checked that out. Would you like.
520 00:50:53.990 ⇒ 00:50:55.070 Robert Tseng: Yeah, I haven’t checked it yet.
521 00:50:55.070 ⇒ 00:50:55.610 Rico Rejoso: Hi, Molly.
522 00:50:55.610 ⇒ 00:51:06.069 Robert Tseng: I’m… I’ve been, like… I haven’t pulled up here, I’m just, like, wordsmithing, and, like, I can’t… I can’t multiprocess. I just… I need to, like, get off this call and, like, actually just…
523 00:51:06.420 ⇒ 00:51:07.740 Robert Tseng: And edit it.
524 00:51:08.080 ⇒ 00:51:14.250 Robert Tseng: I was, like, trying to edit it, and, like, it just comes out wrong every time, so… Yeah.
525 00:51:14.890 ⇒ 00:51:17.040 Rico Rejoso: You want us to loop in Holly for this?
526 00:51:17.910 ⇒ 00:51:23.600 Robert Tseng: I may just do it myself, but I’ll look and… yeah, I just need, like.
527 00:51:23.940 ⇒ 00:51:25.730 Robert Tseng: I’m… I’m just trying to…
528 00:51:26.340 ⇒ 00:51:31.280 Robert Tseng: do some writing right now, and so there’s a few things I’m trying to just edit.
529 00:51:31.410 ⇒ 00:51:32.140 Robert Tseng: Yeah.
530 00:51:32.720 ⇒ 00:51:34.089 Rico Rejoso: Okay, no worries. Thank you.
531 00:51:36.720 ⇒ 00:51:37.750 Brylle Girang: Thanks, everyone.
532 00:51:38.450 ⇒ 00:51:40.080 Robert Tseng: Okay, cool. See y’all.