Meeting Title: Daily-Brainforge-Standup Date: 2024-04-11 Meeting participants: Ryan Luke Daque, Patrick Trainer, Uttam Kumaran
WEBVTT
1 00:00:52.280 ⇒ 00:00:52.890 Patrick Trainer: Didn’t
2 00:02:08.919 ⇒ 00:02:09.770 Patrick Trainer: excuse me.
3 00:05:20.290 ⇒ 00:05:20.920 Patrick Trainer: Yo.
4 00:05:20.920 ⇒ 00:05:24.743 Uttam Kumaran: Hi! Sorry I’m in that with I.
5 00:05:25.290 ⇒ 00:05:28.050 Patrick Trainer: So all good, I figured. That’s what it was.
6 00:05:29.488 ⇒ 00:05:32.350 Uttam Kumaran: I mean, I I got it to.
7 00:05:33.050 ⇒ 00:05:37.270 Uttam Kumaran: I got it to like, kind of just focus on Prs in.
8 00:05:37.290 ⇒ 00:05:46.337 Uttam Kumaran: We’ll get dips in just that folder. And then I just added some of the environment variables for Snowflake. But.
9 00:05:46.790 ⇒ 00:05:49.580 Patrick Trainer: I gave the thumbs up on that pr.
10 00:05:49.895 ⇒ 00:05:54.630 Uttam Kumaran: It! Can you actually try clicking on that bill? It just commented like a build.
11 00:05:54.960 ⇒ 00:05:55.560 Patrick Trainer: Yeah.
12 00:05:56.105 ⇒ 00:06:00.199 Uttam Kumaran: Can you just try clicking on and see whether it lets you log in, and
13 00:06:00.520 ⇒ 00:06:04.110 Uttam Kumaran: as usually it lets, it’ll allow you to
14 00:06:04.490 ⇒ 00:06:07.689 Uttam Kumaran: see it from there, and maybe it’ll help you do the link. I don’t know.
15 00:06:09.030 ⇒ 00:06:09.690 Patrick Trainer: Right.
16 00:06:10.510 ⇒ 00:06:11.210 Patrick Trainer: Nope.
17 00:06:11.590 ⇒ 00:06:13.390 Patrick Trainer: unauthorized.
18 00:06:14.500 ⇒ 00:06:15.579 Patrick Trainer: It’s a.
19 00:06:15.700 ⇒ 00:06:16.619 Uttam Kumaran: Should I?
20 00:06:18.160 ⇒ 00:06:19.759 Uttam Kumaran: I wonder if I should like.
21 00:06:21.880 ⇒ 00:06:22.966 Patrick Trainer: Oh, no.
22 00:06:24.400 ⇒ 00:06:27.439 Patrick Trainer: yeah, something’s going on, because now, even the
23 00:06:28.840 ⇒ 00:06:32.379 Patrick Trainer: look at this like the U. The URL slug
24 00:06:32.600 ⇒ 00:06:42.250 Patrick Trainer: fucking, hey? Like I hate. How zoom! Every single time you open a chat. It’s like, use this to chat with your friends. It’s like God like every time.
25 00:06:43.030 ⇒ 00:06:46.300 Patrick Trainer: But look in the slug. It has a null.
26 00:06:49.040 ⇒ 00:06:50.140 Uttam Kumaran: Oh, yeah.
27 00:06:50.910 ⇒ 00:06:52.950 Patrick Trainer: Yeah, that is.
28 00:06:53.850 ⇒ 00:06:55.921 Patrick Trainer: that can’t be right.
29 00:06:56.750 ⇒ 00:06:59.520 Patrick Trainer: And then I try and log in with Github
30 00:07:01.170 ⇒ 00:07:02.450 Patrick Trainer: and it like.
31 00:07:02.450 ⇒ 00:07:04.080 Uttam Kumaran: Yeah, well, I I remember
32 00:07:04.280 ⇒ 00:07:07.700 Uttam Kumaran: I removed you entirely, and then tried to send it again and.
33 00:07:08.226 ⇒ 00:07:10.330 Patrick Trainer: Okay, yeah, like, we’re.
34 00:07:10.330 ⇒ 00:07:10.810 Uttam Kumaran: Oh, it’s.
35 00:07:10.810 ⇒ 00:07:12.690 Patrick Trainer: Me, and then
36 00:07:14.500 ⇒ 00:07:15.710 Patrick Trainer: this is.
37 00:07:18.990 ⇒ 00:07:19.520 Uttam Kumaran: Yeah.
38 00:07:19.520 ⇒ 00:07:20.530 Patrick Trainer: Leaders, man.
39 00:07:20.530 ⇒ 00:07:21.170 Uttam Kumaran: Circle.
40 00:07:21.600 ⇒ 00:07:22.230 Uttam Kumaran: whatever.
41 00:07:22.230 ⇒ 00:07:22.970 Patrick Trainer: So guys.
42 00:07:24.500 ⇒ 00:07:25.920 Patrick Trainer: Okay. Invited.
43 00:07:25.920 ⇒ 00:07:27.059 Uttam Kumaran: Are you in now.
44 00:07:27.733 ⇒ 00:07:30.150 Patrick Trainer: Maybe. Hold on. Let’s see.
45 00:07:31.290 ⇒ 00:07:35.810 Patrick Trainer: 17 min. Yeah, okay. Looks like you just sent another one.
46 00:07:36.760 ⇒ 00:07:40.678 Uttam Kumaran: I just sent another one, which I didn’t change anything.
47 00:07:41.230 ⇒ 00:07:41.910 Uttam Kumaran: but on it.
48 00:07:41.910 ⇒ 00:07:43.600 Patrick Trainer: Nope still doesn’t like it.
49 00:07:46.370 ⇒ 00:07:47.719 Uttam Kumaran: What the fuck
50 00:07:49.680 ⇒ 00:07:52.169 Uttam Kumaran: alright. Just send me a screenshot, whatever
51 00:07:52.260 ⇒ 00:07:56.049 Uttam Kumaran: you’re seeing, and I’m gonna just hit support.
52 00:07:56.250 ⇒ 00:07:56.680 Patrick Trainer: Yeah.
53 00:07:58.990 ⇒ 00:08:02.599 Patrick Trainer: there, I’ll just send it in slack. I just put it in this chat.
54 00:08:02.600 ⇒ 00:08:04.750 Uttam Kumaran: Yeah, yeah. Yeah. And slack would be good.
55 00:08:04.910 ⇒ 00:08:07.510 Patrick Trainer: There we go. I put it on that on the thread.
56 00:08:08.590 ⇒ 00:08:09.410 Uttam Kumaran: Okay, cool
57 00:08:11.562 ⇒ 00:08:12.385 Uttam Kumaran: alright.
58 00:08:15.370 ⇒ 00:08:19.159 Uttam Kumaran: I guess I can start.
59 00:08:19.210 ⇒ 00:08:21.430 Uttam Kumaran: So I
60 00:08:23.820 ⇒ 00:08:34.500 Uttam Kumaran: I added Augustine to Snowflake for Assa Link. He’s working on pulling another set of sec files for them for some use. So
61 00:08:34.890 ⇒ 00:08:37.539 Uttam Kumaran: I created him a new account for that.
62 00:08:37.873 ⇒ 00:08:41.640 Uttam Kumaran: I’ve just been playing around with netlify for like a half hour.
63 00:08:42.276 ⇒ 00:08:43.349 Uttam Kumaran: Just like
64 00:08:44.070 ⇒ 00:08:48.115 Uttam Kumaran: trying to make sure it’s running builds for just that
65 00:08:48.820 ⇒ 00:08:52.110 Uttam Kumaran: evidence subdirectory. And then also
66 00:08:54.070 ⇒ 00:08:58.620 Uttam Kumaran: just passes some environment variables for the Snowflake creds.
67 00:09:00.530 ⇒ 00:09:02.829 Uttam Kumaran: I’m trying to think if there’s
68 00:09:05.870 ⇒ 00:09:07.180 Uttam Kumaran: yeah, I just have.
69 00:09:07.510 ⇒ 00:09:16.403 Uttam Kumaran: I guess I just have one. I’m going on a on a back and forth with pool parts they’re using like a third part threepl, which is like a third party.
70 00:09:16.690 ⇒ 00:09:17.170 Patrick Trainer: Party legion.
71 00:09:17.170 ⇒ 00:09:18.430 Uttam Kumaran: Kind of like, sh.
72 00:09:18.500 ⇒ 00:09:26.320 Uttam Kumaran: yeah, basically for parts of their shipments. Typically, they run everything through. Fedex ups
73 00:09:26.490 ⇒ 00:09:27.820 Uttam Kumaran: usps
74 00:09:28.356 ⇒ 00:09:32.280 Uttam Kumaran: and ltl, which is, for, like their super large
75 00:09:33.780 ⇒ 00:09:34.760 Uttam Kumaran: pumps.
76 00:09:35.457 ⇒ 00:09:39.839 Uttam Kumaran: and they’re integrating with this 3 pl to basically
77 00:09:40.100 ⇒ 00:09:44.629 Uttam Kumaran: handle some stuff in the places where our shipping prices are
78 00:09:46.000 ⇒ 00:10:01.129 Uttam Kumaran: really expensive. Which is like California and they’ve been trialing it in the West Coast and so basically, what it happens is that Threepl has a negotiated rate with Fedex or Ups, and then they take a premium on that rate.
79 00:10:01.500 ⇒ 00:10:06.539 Uttam Kumaran: and then give that to us which ideally is cheaper than what we would get going direct.
80 00:10:06.630 ⇒ 00:10:07.990 Uttam Kumaran: It’s based
81 00:10:13.900 ⇒ 00:10:14.590 Uttam Kumaran: boot.
82 00:10:15.308 ⇒ 00:10:16.219 Ryan Luke Daque: Looks like he’s not.
83 00:10:16.400 ⇒ 00:10:17.380 Patrick Trainer: So he’s gone.
84 00:10:18.230 ⇒ 00:10:20.369 Ryan Luke Daque: I thought it was me for a moment, but.
85 00:10:20.370 ⇒ 00:10:20.910 Patrick Trainer: Yeah, yeah.
86 00:10:20.910 ⇒ 00:10:21.929 Ryan Luke Daque: I think you are like.
87 00:10:22.180 ⇒ 00:10:22.835 Patrick Trainer: Yeah, I was still.
88 00:10:23.815 ⇒ 00:10:26.970 Patrick Trainer: yeah, that’s I was. I was doing the same thing.
89 00:10:28.130 ⇒ 00:10:31.090 Patrick Trainer: Yeah, it should. No, there he is.
90 00:10:33.300 ⇒ 00:10:34.879 Uttam Kumaran: Alright laptop. Just
91 00:10:35.680 ⇒ 00:10:36.616 Uttam Kumaran: just that, I think.
92 00:10:36.850 ⇒ 00:10:43.311 Patrick Trainer: I was that. Yeah, I was gonna say, like you, it wasn’t just like an Internet thing you like left straight up, left the meeting.
93 00:10:43.770 ⇒ 00:10:50.420 Uttam Kumaran: Yeah, I I was on. I was on 8%. And then I was dealing with that Lafite. I’m like, I’ll go get my charger, and like 1 s.
94 00:10:50.650 ⇒ 00:10:51.625 Patrick Trainer: Didn’t.
95 00:10:52.950 ⇒ 00:10:56.058 Uttam Kumaran: This is. This is what happens to me every day.
96 00:10:56.680 ⇒ 00:10:58.029 Patrick Trainer: Yeah, I think it’s.
97 00:10:58.030 ⇒ 00:10:59.797 Uttam Kumaran: That’s good for the laptop, though to
98 00:11:00.140 ⇒ 00:11:04.220 Uttam Kumaran: for to for it to clear like the the pram, or whatever.
99 00:11:04.220 ⇒ 00:11:07.449 Patrick Trainer: Yeah, to, to fully die. And yeah.
100 00:11:07.450 ⇒ 00:11:08.717 Uttam Kumaran: Yeah, you know.
101 00:11:09.140 ⇒ 00:11:10.100 Patrick Trainer: Cycle of the matter.
102 00:11:10.100 ⇒ 00:11:11.890 Uttam Kumaran: To die sometimes. Yeah.
103 00:11:11.890 ⇒ 00:11:12.280 Patrick Trainer: Yeah.
104 00:11:13.440 ⇒ 00:11:14.240 Uttam Kumaran: What
105 00:11:14.641 ⇒ 00:11:21.160 Uttam Kumaran: but I guess what I was saying is, yeah. So they’re basically trying to work with them on some other shipments. And they? Asked
106 00:11:21.440 ⇒ 00:11:24.130 Uttam Kumaran: Brian. That’s with the stuff we were pulling yesterday.
107 00:11:24.413 ⇒ 00:11:26.600 Uttam Kumaran: So I just sent them over that data file.
108 00:11:26.760 ⇒ 00:11:29.270 Uttam Kumaran: The other thing is, I had a meeting with data tree
109 00:11:30.022 ⇒ 00:11:31.950 Uttam Kumaran: and basically like
110 00:11:32.290 ⇒ 00:11:33.879 Uttam Kumaran: we can get
111 00:11:34.130 ⇒ 00:11:46.470 Uttam Kumaran: those, we can get basically any house with a pool in it for anywhere from 10 to 4 cents based on like volume. It starts at 10 cents, and then, if we are able, if we want to get like hundreds or thousands.
112 00:11:47.127 ⇒ 00:11:51.180 Uttam Kumaran: it’ll come down to like 4 cents per lead, which is like
113 00:11:51.190 ⇒ 00:11:53.179 Uttam Kumaran: super super super cheap.
114 00:11:53.515 ⇒ 00:11:58.189 Uttam Kumaran: To give you even context on how cheap it is for us to send out a postage
115 00:11:58.310 ⇒ 00:12:02.450 Uttam Kumaran: to a house. It’s about 56 cents.
116 00:12:04.370 ⇒ 00:12:05.550 Uttam Kumaran: so
117 00:12:05.570 ⇒ 00:12:12.309 Uttam Kumaran: and we and they just ran a direct mail campaign that resulted in like 35 acts roaz meaning
118 00:12:12.580 ⇒ 00:12:16.620 Uttam Kumaran: they spent like, wow! They spent like they spent like 3 k
119 00:12:17.182 ⇒ 00:12:18.540 Uttam Kumaran: they spent like
120 00:12:18.800 ⇒ 00:12:24.099 Uttam Kumaran: like they sent like a 3,500 mailers ended up being like
121 00:12:24.290 ⇒ 00:12:28.410 Uttam Kumaran: around, like one or 2 2 grand, and then they made 15 grand on that.
122 00:12:28.610 ⇒ 00:12:32.769 Patrick Trainer: Right? Yeah, I was. Gonna say, that’s like 150 bucks for every 50 cents. Spend.
123 00:12:33.810 ⇒ 00:12:40.029 Uttam Kumaran: Exactly. And so it’s basically like they had 35 people by by pumps. And that was 15 grand
124 00:12:40.220 ⇒ 00:12:44.190 Uttam Kumaran: and pumps, because the aob is like really high. So
125 00:12:44.250 ⇒ 00:12:52.459 Uttam Kumaran: I basically saw that Dan, like 4 weeks ago, was like, can be scrapes on this stuff. It all came together. I’m like, yeah, we can 100 get
126 00:12:52.670 ⇒ 00:12:56.220 Uttam Kumaran: these for really, really cheap. So I think we’re gonna try and talk
127 00:12:56.360 ⇒ 00:12:57.753 Uttam Kumaran: tomorrow about
128 00:12:59.150 ⇒ 00:13:03.020 Uttam Kumaran: moving forward with them, or kind of like what they want to do with that data.
129 00:13:03.180 ⇒ 00:13:03.900 Uttam Kumaran: Cool?
130 00:13:05.470 ⇒ 00:13:13.039 Uttam Kumaran: So that’s been the main stuff. The other thing is there’s one person that will be joining
131 00:13:13.120 ⇒ 00:13:20.770 Uttam Kumaran: the squad on the pool part side, kind of as a replacement for Jack on the analysis side. His name is Jacob. He’s a
132 00:13:20.900 ⇒ 00:13:39.760 Uttam Kumaran: kind of a new friend of mine in Austin we met through some mutual friends, and it’s like probably the only person I met in, like my friend group that does anything in data. And we just started talking a few weeks ago. He works for customer intelligence for home depot and is basically like.
133 00:13:39.900 ⇒ 00:13:46.469 Uttam Kumaran: kind of tap just tapped out on like pretty like stuff they’re doing, basically. And so we’ve been talking. And
134 00:13:46.883 ⇒ 00:14:02.076 Uttam Kumaran: I think he’s gonna be great to come. Hop on someone else’s stuff for pool parts to start. So just kind of like on hopefully, I think he’s gonna start onboarding some stuff today, and then we’ll kind of take over some of the stuff that Jack was handling.
135 00:14:03.100 ⇒ 00:14:04.730 Uttam Kumaran: And
136 00:14:05.120 ⇒ 00:14:09.635 Uttam Kumaran: yeah, I think there was one other thing.
137 00:14:10.440 ⇒ 00:14:17.800 Uttam Kumaran: oh, so there’s one other client that’s kicking off and it’s being handled by another
138 00:14:18.332 ⇒ 00:14:19.899 Uttam Kumaran: engineer. His name’s Nick.
139 00:14:20.351 ⇒ 00:14:28.310 Uttam Kumaran: Nick Baker. He’s in New York, so I’ll weave him into the team. It’s for this client called Stella but basically
140 00:14:28.650 ⇒ 00:14:32.280 Uttam Kumaran: a friend of mine who runs kind of a data analysis.
141 00:14:32.620 ⇒ 00:14:37.174 Uttam Kumaran: kind of agency I needed, just like a data engineer,
142 00:14:37.900 ⇒ 00:14:43.589 Uttam Kumaran: to do a ton of web events related modeling. So Nick has basically done that
143 00:14:43.620 ⇒ 00:14:57.210 Uttam Kumaran: for a long time. So I was like, Okay, you can just kind of come in and and handle that on the web events side, which is basically probably like a ton of activity schema stuff and helping them move segment data into Snowflake and then model it.
144 00:14:57.597 ⇒ 00:15:01.610 Uttam Kumaran: I’m not sure how long. I think the initial contract is just for a month.
145 00:15:01.750 ⇒ 00:15:03.779 Uttam Kumaran: But hopefully, we kind of can push
146 00:15:03.880 ⇒ 00:15:05.340 Uttam Kumaran: longer. But
147 00:15:06.480 ⇒ 00:15:11.469 Uttam Kumaran: yeah, I’ll kind of intro Nick, as that starts sometime in the next 2 or 3 weeks.
148 00:15:14.110 ⇒ 00:15:18.330 Uttam Kumaran: and yeah, I’m in Dubai today. I just got here
149 00:15:19.329 ⇒ 00:15:20.169 Uttam Kumaran: around.
150 00:15:20.170 ⇒ 00:15:20.589 Patrick Trainer: I was like.
151 00:15:20.590 ⇒ 00:15:21.630 Uttam Kumaran: 2 30.
152 00:15:21.740 ⇒ 00:15:25.939 Uttam Kumaran: It’s interesting place, man. It’s like a mix of like Vegas.
153 00:15:26.690 ⇒ 00:15:28.669 Uttam Kumaran: but like the Middle East.
154 00:15:28.920 ⇒ 00:15:30.320 Uttam Kumaran: right? And like
155 00:15:30.650 ⇒ 00:15:32.842 Uttam Kumaran: kind of like Miami.
156 00:15:33.390 ⇒ 00:15:41.710 Patrick Trainer: My buddy. My buddy lives in Dubai now, and I asked him what it’s like, because it’s like Las Vegas without the hookers and booze.
157 00:15:42.120 ⇒ 00:15:45.459 Uttam Kumaran: Yeah, but yeah, it’s so clean. But yeah, exactly. There’s like
158 00:15:45.500 ⇒ 00:15:48.569 Uttam Kumaran: that stuff is not, is they keep very hidden.
159 00:15:49.453 ⇒ 00:15:53.519 Uttam Kumaran: And yeah, it seems like one big shopping mall like
160 00:15:54.010 ⇒ 00:16:00.320 Uttam Kumaran: like I I don’t know. Some something else is something fishy is going on kind of feels like it’s not what the fuck is.
161 00:16:00.420 ⇒ 00:16:04.859 Patrick Trainer: So we’re in the middle. We’re in the middle of the desert. And here’s this crazy place.
162 00:16:05.450 ⇒ 00:16:10.887 Uttam Kumaran: Yeah, exactly. So. I don’t know exactly what what it is that’s going on. But
163 00:16:12.240 ⇒ 00:16:12.890 Patrick Trainer: That’s some.
164 00:16:12.890 ⇒ 00:16:13.956 Uttam Kumaran: Minutes, so.
165 00:16:14.780 ⇒ 00:16:16.010 Patrick Trainer: That’s funny.
166 00:16:19.680 ⇒ 00:16:26.109 Uttam Kumaran: Yeah, I don’t know, Ryan. If you ever had a chance to come. Come here. I guess you’re you’re you’re probably like half half way, but.
167 00:16:27.100 ⇒ 00:16:32.750 Ryan Luke Daque: Yeah, I haven’t. I haven’t been there. I think the only place I went outside of the Philippines is well.
168 00:16:33.220 ⇒ 00:16:35.439 Ryan Luke Daque: Kentucky in the Us. And
169 00:16:35.970 ⇒ 00:16:41.230 Ryan Luke Daque: Japan, they say. Oh, I also went to Hong Kong once, just for you know
170 00:16:41.450 ⇒ 00:16:42.880 Ryan Luke Daque: it’s pretty close.
171 00:16:43.720 ⇒ 00:16:44.280 Patrick Trainer: Kentucky.
172 00:16:45.200 ⇒ 00:16:52.490 Ryan Luke Daque: I used to work in Lexmark, and I I used to be I was. I used to travel for yeah. The.
173 00:16:52.490 ⇒ 00:16:53.390 Patrick Trainer: Yeah.
174 00:16:53.390 ⇒ 00:16:54.176 Ryan Luke Daque: For work.
175 00:16:54.570 ⇒ 00:16:58.320 Patrick Trainer: I I was gonna say, like Kentucky is a really random like a lot of.
176 00:16:58.320 ⇒ 00:16:58.700 Ryan Luke Daque: Of people.
177 00:16:58.700 ⇒ 00:17:01.039 Patrick Trainer: The Us. Have never been to Kentucky.
178 00:17:01.460 ⇒ 00:17:01.880 Ryan Luke Daque: Yeah.
179 00:17:02.108 ⇒ 00:17:03.709 Patrick Trainer: I haven’t been to. I don’t think.
180 00:17:03.927 ⇒ 00:17:05.880 Uttam Kumaran: Been. I don’t think I’ve been to Kentucky, either.
181 00:17:05.990 ⇒ 00:17:07.520 Uttam Kumaran: I wanna go to Lexington.
182 00:17:07.520 ⇒ 00:17:11.780 Ryan Luke Daque: Back. I guess. Yeah. Lexington, I I that’s where I basically
183 00:17:12.190 ⇒ 00:17:13.319 Ryan Luke Daque: traveled.
184 00:17:13.490 ⇒ 00:17:14.050 Ryan Luke Daque: Yeah.
185 00:17:14.050 ⇒ 00:17:14.450 Patrick Trainer: Yeah, and.
186 00:17:14.450 ⇒ 00:17:15.920 Ryan Luke Daque: Back and and like
187 00:17:15.940 ⇒ 00:17:18.980 Ryan Luke Daque: pretty much of the countryside, I guess. But yeah.
188 00:17:20.010 ⇒ 00:17:22.783 Patrick Trainer: Yeah, they they call them flyover States.
189 00:17:23.230 ⇒ 00:17:24.240 Patrick Trainer: Yeah.
190 00:17:29.110 ⇒ 00:17:30.470 Patrick Trainer: Oh, Kentucky
191 00:17:33.620 ⇒ 00:17:39.789 Patrick Trainer: guy I worked with. He lived in Kentucky. He hated it. He’s like, I’ve lived here my entire life I’ve never left.
192 00:17:40.396 ⇒ 00:17:42.329 Patrick Trainer: I hate it so much for like
193 00:17:42.580 ⇒ 00:17:43.940 Patrick Trainer: why don’t you leave.
194 00:17:43.940 ⇒ 00:17:44.650 Uttam Kumaran: Leaves.
195 00:17:46.580 ⇒ 00:17:48.471 Ryan Luke Daque: Japan’s pretty nice, though, like.
196 00:17:48.850 ⇒ 00:17:50.070 Patrick Trainer: Heard Japan’s awesome.
197 00:17:50.240 ⇒ 00:17:50.950 Ryan Luke Daque: Yeah.
198 00:17:53.790 ⇒ 00:17:55.670 Uttam Kumaran: Yeah, I heard, Japan is so cool.
199 00:17:56.810 ⇒ 00:17:59.010 Patrick Trainer: It’s like super clean, but like.
200 00:17:59.010 ⇒ 00:17:59.630 Ryan Luke Daque: Yeah.
201 00:17:59.630 ⇒ 00:18:01.730 Patrick Trainer: The craziest amount of people.
202 00:18:02.310 ⇒ 00:18:03.469 Uttam Kumaran: Yeah. Jack.
203 00:18:03.470 ⇒ 00:18:09.977 Patrick Trainer: It’s like, yeah, what is it? Most population, dense city or Tokyo? Is most population dense in the world.
204 00:18:10.570 ⇒ 00:18:12.040 Ryan Luke Daque: Yeah, which is like, crazy.
205 00:18:12.040 ⇒ 00:18:14.109 Patrick Trainer: They’re on a tiny little island, too.
206 00:18:14.990 ⇒ 00:18:15.400 Ryan Luke Daque: Yeah.
207 00:18:15.400 ⇒ 00:18:16.320 Uttam Kumaran: Yeah.
208 00:18:18.020 ⇒ 00:18:23.079 Ryan Luke Daque: Like everything has to be like at the exact time, like all the appointments, are at.
209 00:18:23.080 ⇒ 00:18:23.630 Patrick Trainer: Yeah.
210 00:18:23.630 ⇒ 00:18:24.220 Ryan Luke Daque: Time.
211 00:18:24.810 ⇒ 00:18:30.949 Patrick Trainer: Yeah, I I saw like, yeah, their bullet train. If it’s over a minute late
212 00:18:31.410 ⇒ 00:18:36.119 Patrick Trainer: and you’re like late for work, they’ll write you an excuse to your boss
213 00:18:36.150 ⇒ 00:18:38.440 Patrick Trainer: saying like that the train was late.
214 00:18:38.570 ⇒ 00:18:42.440 Patrick Trainer: that it’s not your fault like. That’s how much they believe in the system.
215 00:18:42.720 ⇒ 00:18:43.180 Ryan Luke Daque: Yeah.
216 00:18:43.180 ⇒ 00:18:43.820 Patrick Trainer: Bait
217 00:18:43.990 ⇒ 00:18:48.229 Patrick Trainer: like it would have been New York. How often was the subway late.
218 00:18:50.556 ⇒ 00:18:54.924 Uttam Kumaran: All it’s like. Well, the thing is, the frequency is so high that.
219 00:18:56.450 ⇒ 00:18:57.500 Uttam Kumaran: Like.
220 00:18:57.620 ⇒ 00:19:01.399 Uttam Kumaran: I don’t know. New York is odd, because the frequency is typically so fast that
221 00:19:01.410 ⇒ 00:19:05.650 Uttam Kumaran: the next one is pretty is like coming pretty quick unless you’re like really far.
222 00:19:05.650 ⇒ 00:19:06.030 Patrick Trainer: Right.
223 00:19:06.030 ⇒ 00:19:08.900 Uttam Kumaran: And also like
224 00:19:09.200 ⇒ 00:19:12.199 Uttam Kumaran: you could always like, if in some of the denser parts
225 00:19:12.390 ⇒ 00:19:19.759 Uttam Kumaran: you kind of have an option to walk or take the subway. It it kinda just depends. But I think because they have. They have so many trains.
226 00:19:19.760 ⇒ 00:19:20.120 Patrick Trainer: Right.
227 00:19:20.120 ⇒ 00:19:27.109 Uttam Kumaran: But they get away with like it being a little bit late here and there. It’s usually late. If someone’s like holding the door.
228 00:19:27.453 ⇒ 00:19:35.450 Uttam Kumaran: or like. There’s some drama which there always is never like. Shut shut down commonly, though, where there’s like no trains usually just like
229 00:19:35.930 ⇒ 00:19:39.520 Uttam Kumaran: discuss you have, like probably 3 min error bars.
230 00:19:39.690 ⇒ 00:19:41.130 Patrick Trainer: Right? Okay.
231 00:19:41.440 ⇒ 00:19:44.120 Patrick Trainer: yeah. So I’ve never been on a subway. So
232 00:19:45.020 ⇒ 00:19:48.349 Patrick Trainer: guess I’ve never been to New York. Actually, to be honest.
233 00:19:48.350 ⇒ 00:19:51.411 Ryan Luke Daque: Really, I’ve been there for just like for a day, though.
234 00:19:51.720 ⇒ 00:19:56.690 Ryan Luke Daque: Yeah, I just tried to tour as much as I can in one day. But yeah.
235 00:19:57.660 ⇒ 00:20:01.189 Uttam Kumaran: I think we’ve gotta do. We gotta do like a brain force trip some point.
236 00:20:01.870 ⇒ 00:20:02.669 Patrick Trainer: Yeah, for sure.
237 00:20:02.670 ⇒ 00:20:10.710 Uttam Kumaran: To go meet some clients, or maybe I mean we should go see? Hopefully, we get to go. I haven’t gone and seen the pool price folks yet.
238 00:20:10.760 ⇒ 00:20:12.359 Uttam Kumaran: but they’re in Long Island.
239 00:20:12.370 ⇒ 00:20:16.160 Uttam Kumaran: but that’d be even a nice thing to go sit with them for a day to some point.
240 00:20:16.800 ⇒ 00:20:19.680 Patrick Trainer: We go work out of the old. We work office.
241 00:20:20.200 ⇒ 00:20:21.432 Uttam Kumaran: Yeah, yeah, yeah, yeah.
242 00:20:22.372 ⇒ 00:20:24.268 Patrick Trainer: You’re like, -oh!
243 00:20:24.900 ⇒ 00:20:25.690 Uttam Kumaran: No.
244 00:20:26.480 ⇒ 00:20:27.089 Patrick Trainer: But edit.
245 00:20:28.890 ⇒ 00:20:31.282 Patrick Trainer: Yeah, that sounds great
246 00:20:36.030 ⇒ 00:20:37.765 Patrick Trainer: sorry, touchy feelings. There.
247 00:20:38.200 ⇒ 00:20:38.820 Uttam Kumaran: No, no, no.
248 00:20:38.820 ⇒ 00:20:40.759 Patrick Trainer: No, I’m fine. I’m fine.
249 00:20:40.920 ⇒ 00:20:41.540 Uttam Kumaran: Hold on.
250 00:20:44.340 ⇒ 00:20:47.990 Uttam Kumaran: Yeah. So that’s all for me, I guess, Pat, if you want to go.
251 00:20:47.990 ⇒ 00:20:51.590 Patrick Trainer: Cool yeah for me. It’s I’m
252 00:20:52.604 ⇒ 00:21:04.479 Patrick Trainer: what, Dan. So it’s kinda like, same stuff as yesterday getting that. Yeah, getting that and then what I put in the Channel earlier with
253 00:21:06.260 ⇒ 00:21:07.950 Patrick Trainer: Dan had like a
254 00:21:08.310 ⇒ 00:21:14.059 Patrick Trainer: an example, or showed showed us an exam, or showed me an example of a report that he gets
255 00:21:14.130 ⇒ 00:21:24.109 Patrick Trainer: email to him every every morning, and he’s like this is super helpful, like. I look at this every morning. I know what’s going on. And it’s really it’s just like
256 00:21:24.870 ⇒ 00:21:31.640 Patrick Trainer: number number number number. It’s like these, simple of simple like, no bells and whistles like any.
257 00:21:31.640 ⇒ 00:21:32.020 Uttam Kumaran: Yeah.
258 00:21:32.020 ⇒ 00:21:35.359 Patrick Trainer: And then so like him, saying, that made me think like.
259 00:21:35.450 ⇒ 00:21:39.360 Patrick Trainer: well, shit, let’s just give them super something super super simple, like
260 00:21:39.710 ⇒ 00:21:41.350 Patrick Trainer: like your word.
261 00:21:41.620 ⇒ 00:21:44.519 Patrick Trainer: wooing them with bells and whistles. But.
262 00:21:44.520 ⇒ 00:21:44.860 Uttam Kumaran: Yeah.
263 00:21:44.860 ⇒ 00:21:56.779 Patrick Trainer: If we can, if we can replace that, because the way they’re using it is they have, I guess, their own other bi tool that. They’re that they’re running, that I’ve never heard of.
264 00:21:56.780 ⇒ 00:21:57.130 Uttam Kumaran: There hurt.
265 00:21:57.130 ⇒ 00:21:57.529 Patrick Trainer: There is a.
266 00:21:57.945 ⇒ 00:21:58.360 Uttam Kumaran: Blue.
267 00:21:58.640 ⇒ 00:21:59.910 Patrick Trainer: Yeah, yeah, yeah.
268 00:21:59.910 ⇒ 00:22:08.500 Uttam Kumaran: Yeah. So basically, they have blue setup. But it doesn’t have all that. Like, blue is just showing like a couple of data sources. But it’s not a via. It’s not really like a.
269 00:22:08.680 ⇒ 00:22:14.210 Uttam Kumaran: It is kind of like a bi tool, but it’s used for some other stuff. But basically, when I came in. They were like, we want to get rid of it.
270 00:22:14.593 ⇒ 00:22:19.279 Uttam Kumaran: But and he, I’ve seen that same email. And then we tried to do that. And he’s like I wanted more.
271 00:22:19.590 ⇒ 00:22:24.469 Uttam Kumaran: So like I think you’re, I think. But you’ve gone the farthest with him. I feel like.
272 00:22:24.470 ⇒ 00:22:24.800 Patrick Trainer: Yeah.
273 00:22:24.800 ⇒ 00:22:27.139 Uttam Kumaran: Like this is probably the farthest we’ve got in terms of like.
274 00:22:27.160 ⇒ 00:22:34.339 Uttam Kumaran: okay, he’s looking at stuff. He’s getting feedback. So keep pushing. If he wants that like we build it. But like
275 00:22:34.590 ⇒ 00:22:41.249 Uttam Kumaran: I think you have wherewithal to like kind of push back and find out like what it is actually about that. That’s like enticing.
276 00:22:41.580 ⇒ 00:22:42.100 Patrick Trainer: Yeah.
277 00:22:42.100 ⇒ 00:22:49.656 Uttam Kumaran: See it. But but if that’s what if that’s what they want versus us versus what we did then. That’s fine. It’s.
278 00:22:50.000 ⇒ 00:22:58.700 Patrick Trainer: I think, with the like. The very bottom thing like what he wants is that, like the the period over period, comparison.
279 00:22:58.720 ⇒ 00:23:04.328 Patrick Trainer: But what is confusion is about is like, let’s say, we’re doing like
280 00:23:05.518 ⇒ 00:23:20.259 Patrick Trainer: like month to date versus last month. And so the percentages are kind of weird. But like what he’s unsure of is if it’s like, so today’s the the eleventh, if we like. Total from April first to the eleventh
281 00:23:20.340 ⇒ 00:23:31.800 Patrick Trainer: is the period that they’re looking the like the with the look back window is that from March first to March eleventh, or is it march first through March thirty-onest
282 00:23:31.960 ⇒ 00:23:33.349 Patrick Trainer: over March or April?
283 00:23:33.350 ⇒ 00:23:35.210 Uttam Kumaran: You see what I’m saying?
284 00:23:35.870 ⇒ 00:23:43.335 Patrick Trainer: So like this would normally be like the question for Jack, because, like he wrote the he wrote the code right? And so
285 00:23:44.010 ⇒ 00:23:46.860 Patrick Trainer: it I just don’t know, and so.
286 00:23:46.860 ⇒ 00:23:52.079 Uttam Kumaran: For is that is that for the is that for the dashboard? Or is that for the warranty style?
287 00:23:52.520 ⇒ 00:23:53.889 Patrick Trainer: I’m sorry. The dashboard.
288 00:23:54.770 ⇒ 00:23:59.659 Uttam Kumaran: Okay, I think I mean, I think, Ryan, you should should be able to check. I think if I’m right, it’s.
289 00:23:59.660 ⇒ 00:24:00.530 Patrick Trainer: It. Probably I know.
290 00:24:01.148 ⇒ 00:24:03.001 Uttam Kumaran: It’s probably not.
291 00:24:04.470 ⇒ 00:24:08.579 Uttam Kumaran: I think there’s one that’s like verse same time last month.
292 00:24:10.250 ⇒ 00:24:12.330 Uttam Kumaran: I think it’s worth checking and making it, and just.
293 00:24:12.330 ⇒ 00:24:12.630 Patrick Trainer: Yeah.
294 00:24:12.930 ⇒ 00:24:13.370 Uttam Kumaran: Checking.
295 00:24:13.370 ⇒ 00:24:13.909 Patrick Trainer: Yeah, that.
296 00:24:14.430 ⇒ 00:24:16.530 Patrick Trainer: Basically what I told him I was like, I don’t
297 00:24:16.830 ⇒ 00:24:29.719 Patrick Trainer: to be honest, like I don’t know like the number like it could be both like, I definitely share your confusion. I was just like, I’ll get back to you just to clarify. And then, like, if anything, we’ll just
298 00:24:29.930 ⇒ 00:24:34.879 Patrick Trainer: make the labor labels or the descriptions like more
299 00:24:35.450 ⇒ 00:24:36.810 Patrick Trainer: like explicit
300 00:24:37.544 ⇒ 00:24:47.539 Patrick Trainer: it maybe just like throw some dates up there, too, just to make it, because, like his reasoning was like, I don’t. He gives like I don’t really know what I’m comparing.
301 00:24:48.035 ⇒ 00:24:59.439 Patrick Trainer: And then it goes. If I don’t know what I’m comparing, then it like it feels like I’m losing trust in the in the numbers and he’s like, I just, I don’t wanna do that. And then which I mean totally reasonable. Makes a lot of sense.
302 00:24:59.440 ⇒ 00:25:00.220 Ryan Luke Daque: Settings.
303 00:25:00.798 ⇒ 00:25:07.610 Patrick Trainer: He’s just confused around the the math around it. And so if we can make that like
304 00:25:07.630 ⇒ 00:25:15.089 Patrick Trainer: more explicit or just like, get back to like. This is what this is. This is what this is, and this is what this isn’t
305 00:25:15.455 ⇒ 00:25:23.179 Patrick Trainer: to be like golden. And then we can throw that like. So in in that report that he emailed that glue report, there’s
306 00:25:23.750 ⇒ 00:25:28.829 Patrick Trainer: that’s basically what he was showing. There was like the week to day, month to date, versus like
307 00:25:29.050 ⇒ 00:25:35.719 Patrick Trainer: last week to date at that point, or like at that point in time, kind of like that, as of
308 00:25:36.500 ⇒ 00:25:36.929 Uttam Kumaran: Yeah.
309 00:25:37.360 ⇒ 00:25:42.980 Patrick Trainer: And he was saying, like, that’s what I like about this email.
310 00:25:43.670 ⇒ 00:25:47.230 Patrick Trainer: Basically. So so if we get like those
311 00:25:47.480 ⇒ 00:25:48.950 Patrick Trainer: numbers down
312 00:25:49.980 ⇒ 00:25:50.880 Patrick Trainer: then
313 00:25:51.130 ⇒ 00:25:53.540 Patrick Trainer: I think we’re like in pretty good shape.
314 00:25:54.040 ⇒ 00:26:03.370 Uttam Kumaran: Yeah, I think also like that. I mean, this may be I seen one. I think, Brian, this stuff should all be in the Kpi tables, where we’re doing the same time last month, right.
315 00:26:03.370 ⇒ 00:26:12.230 Ryan Luke Daque: Yeah, we have like 3 models, like once, like for the Kpi weekly, basically, and then monthly, and then daily as well. So
316 00:26:12.250 ⇒ 00:26:13.440 Ryan Luke Daque: this this could be.
317 00:26:13.920 ⇒ 00:26:14.540 Patrick Trainer: Yeah.
318 00:26:14.670 ⇒ 00:26:17.830 Ryan Luke Daque: This could be, what is causing the confusion, or something.
319 00:26:17.830 ⇒ 00:26:27.470 Uttam Kumaran: Yeah. So I think all those all the like, whatever we’re doing, if we’re doing a window, or whatever the logic should be there. I’m not sure exactly what it is. Second thing is.
320 00:26:27.570 ⇒ 00:26:33.320 Uttam Kumaran: again, maybe a good, maybe a good opportunity for them to try real for some stuff.
321 00:26:33.440 ⇒ 00:26:39.779 Uttam Kumaran: Yeah, on the click, quick comparisons. But again, now we’re now. I think the thing is.
322 00:26:40.510 ⇒ 00:26:55.890 Uttam Kumaran: it’s easy to go. It’s like multiple like avenues here. So I think what you mentioned was like, what we talked about was just getting this to be really, really solid for them. And then we kind of can propose real like. We can convert this to real and then be like.
323 00:26:55.930 ⇒ 00:26:57.970 Uttam Kumaran: what do you think about this in real.
324 00:26:58.510 ⇒ 00:26:59.190 Patrick Trainer: Brian.
325 00:26:59.460 ⇒ 00:27:00.660 Patrick Trainer: So right? Because.
326 00:27:00.868 ⇒ 00:27:02.119 Uttam Kumaran: Down at a lot of like.
327 00:27:02.120 ⇒ 00:27:08.240 Patrick Trainer: They’d be able to define the windows and then compare that themselves. So there’s no like like they’re doing.
328 00:27:08.240 ⇒ 00:27:08.680 Uttam Kumaran: Reza.
329 00:27:08.680 ⇒ 00:27:13.290 Patrick Trainer: They’re doing the metric. We’re just providing, like the
330 00:27:13.410 ⇒ 00:27:15.650 Patrick Trainer: the ability to do that.
331 00:27:16.140 ⇒ 00:27:17.480 Uttam Kumaran: Exactly, exactly.
332 00:27:17.790 ⇒ 00:27:18.510 Patrick Trainer: Right?
333 00:27:22.250 ⇒ 00:27:26.010 Patrick Trainer: Cool. Yeah. So there’s that. And then
334 00:27:27.360 ⇒ 00:27:30.290 Patrick Trainer: making some like minor
335 00:27:30.450 ⇒ 00:27:36.009 Patrick Trainer: changes here and there to the evidence stuff like. There’s a couple of spots that
336 00:27:36.130 ⇒ 00:27:45.319 Patrick Trainer: I wanted to template and hook into the filters. So that’s going on. And then I have like I
337 00:27:45.800 ⇒ 00:27:53.059 Patrick Trainer: was working on a branch like moving things around in there. And like I came across like a
338 00:27:53.500 ⇒ 00:27:56.309 Patrick Trainer: a bug in evidence
339 00:27:56.691 ⇒ 00:28:07.179 Patrick Trainer: that I’ve been working through with their support. Team on slack. So if you like, if you go into the troubleshooting thing on the on evidences slack you can. You can see the thread
340 00:28:07.807 ⇒ 00:28:08.375 Patrick Trainer: but
341 00:28:10.480 ⇒ 00:28:14.730 Patrick Trainer: like it. That’s it’s not blocking to anything, but it’s just like
342 00:28:14.960 ⇒ 00:28:20.354 Patrick Trainer: I think it may be blocking like if we try and like scale evidence.
343 00:28:20.740 ⇒ 00:28:21.450 Uttam Kumaran: Okay.
344 00:28:21.812 ⇒ 00:28:24.349 Patrick Trainer: But it’s just kind of like a
345 00:28:25.510 ⇒ 00:28:31.050 Patrick Trainer: like. No, there’s no red flag yet. It’s just that like we’re figuring it out.
346 00:28:31.780 ⇒ 00:28:32.420 Uttam Kumaran: Okay.
347 00:28:35.750 ⇒ 00:28:36.460 Uttam Kumaran: Okay.
348 00:28:38.810 ⇒ 00:28:39.915 Patrick Trainer: And
349 00:28:41.370 ⇒ 00:28:42.729 Patrick Trainer: yeah, that’s it from Nate.
350 00:28:47.620 ⇒ 00:28:54.244 Ryan Luke Daque: Yeah, on my end. I’m just really trying to install real and try to understand that. See if I can
351 00:28:55.200 ⇒ 00:29:00.319 Ryan Luke Daque: play around with what we have through pool parts, but I’m still like in the
352 00:29:00.680 ⇒ 00:29:02.390 Ryan Luke Daque: process of like trying to
353 00:29:02.530 ⇒ 00:29:05.739 Ryan Luke Daque: figure out how to install this in windows. It’s pretty.
354 00:29:06.620 ⇒ 00:29:08.780 Patrick Trainer: I was. Gonna say, you’re on windows, aren’t you?
355 00:29:08.780 ⇒ 00:29:09.170 Ryan Luke Daque: Yeah.
356 00:29:09.560 ⇒ 00:29:12.969 Patrick Trainer: Yeah, I was. Gonna say, it’s super easy to install.
357 00:29:13.310 ⇒ 00:29:15.590 Ryan Luke Daque: Were you able to install it in windows.
358 00:29:16.110 ⇒ 00:29:17.319 Patrick Trainer: No, I use a Mac.
359 00:29:18.120 ⇒ 00:29:18.679 Ryan Luke Daque: Great.
360 00:29:18.790 ⇒ 00:29:21.340 Ryan Luke Daque: Yeah, yeah, it’s it’s pretty hard in windows. And yeah.
361 00:29:21.340 ⇒ 00:29:22.010 Patrick Trainer: Yeah.
362 00:29:22.280 ⇒ 00:29:27.529 Ryan Luke Daque: You need to like have a an, an ubuntu instance, basically a Linux instance. And
363 00:29:27.830 ⇒ 00:29:37.119 Ryan Luke Daque: yeah, I’m having trouble with that, like my Linux virtual machines not working. I tried to uninstall it and reinstall it again. And it’s not
364 00:29:37.290 ⇒ 00:29:40.739 Ryan Luke Daque: so. Yeah, I’m still trying to figure that out stuff out. Yeah.
365 00:29:40.740 ⇒ 00:29:44.201 Uttam Kumaran: Are we? We’re I think we have a we have a
366 00:29:44.947 ⇒ 00:29:49.320 Uttam Kumaran: vendor channel with them, Ryan. There’s anything real specific.
367 00:29:49.430 ⇒ 00:29:50.470 Uttam Kumaran: Yeah.
368 00:29:50.570 ⇒ 00:29:52.090 Uttam Kumaran: you can hit them in there.
369 00:29:53.043 ⇒ 00:29:56.959 Uttam Kumaran: I can add you if you’re not in there already.
370 00:29:56.960 ⇒ 00:30:00.209 Ryan Luke Daque: Yeah, maybe I can. Maybe they have some.
371 00:30:01.690 ⇒ 00:30:07.052 Uttam Kumaran: They were. They were pretty like they’re pretty helpful before, so let me just add you, and then
372 00:30:09.960 ⇒ 00:30:18.589 Patrick Trainer: I did some work with the with the hospital group here for a little bit, and like they required me to use a a windows computer.
373 00:30:18.680 ⇒ 00:30:21.560 Patrick Trainer: And it’s like, like, I felt handicapped
374 00:30:21.620 ⇒ 00:30:28.080 Patrick Trainer: like I couldn’t. It was so I I did. I like, I haven’t used windows since I was a kid.
375 00:30:28.972 ⇒ 00:30:47.990 Patrick Trainer: and then and then like, learn into program and whatnot like all of that’s been on a Mac. And then I just wasn’t used to like if it were still on like windows, 95 or windows 98 like I’d be able to cruise around the Ui. But like windows or 11, or whatever
376 00:30:48.880 ⇒ 00:30:54.339 Patrick Trainer: couldn’t, couldn’t do it. And then I was like getting ads everywhere. It was is just like.
377 00:30:54.760 ⇒ 00:30:55.510 Patrick Trainer: Yeah.
378 00:30:56.260 ⇒ 00:30:56.990 Ryan Luke Daque: Yeah.
379 00:30:58.100 ⇒ 00:30:59.639 Patrick Trainer: Yeah, yeah.
380 00:31:00.850 ⇒ 00:31:02.820 Ryan Luke Daque: Coding is whole, much easier in
381 00:31:02.930 ⇒ 00:31:04.890 Ryan Luke Daque: using Mac and windows.
382 00:31:05.130 ⇒ 00:31:05.950 Patrick Trainer: Yeah.
383 00:31:06.870 ⇒ 00:31:08.569 Patrick Trainer: or loose loading software.
384 00:31:11.580 ⇒ 00:31:12.340 Ryan Luke Daque: Vidya
385 00:31:15.710 ⇒ 00:31:20.440 Ryan Luke Daque: essentially what I was doing, and I can look into the
386 00:31:22.370 ⇒ 00:31:24.310 Ryan Luke Daque: monthly and weekly
387 00:31:24.720 ⇒ 00:31:27.530 Ryan Luke Daque: stuff in the Kpi. I can check
388 00:31:28.330 ⇒ 00:31:29.330 Ryan Luke Daque: that out.
389 00:31:33.020 ⇒ 00:31:35.819 Uttam Kumaran: Yeah, I guess whatever pat, whatever you need,
390 00:31:36.250 ⇒ 00:31:39.279 Uttam Kumaran: hit Ryan, because we work on the Kpi stuff, basically together.
391 00:31:40.190 ⇒ 00:31:40.850 Patrick Trainer: Cool.
392 00:31:43.370 ⇒ 00:31:52.409 Patrick Trainer: cool. Yeah, I’ll I’ll take a look through and like, get specifics. And like, if I have any questions, Ryan, like like. I’ll
393 00:31:52.650 ⇒ 00:31:54.980 Patrick Trainer: come to you with specifics. I don’t wanna
394 00:31:55.580 ⇒ 00:31:57.360 Patrick Trainer: dump this on you, so
395 00:31:57.910 ⇒ 00:31:58.580 Patrick Trainer: we’ll.
396 00:31:59.040 ⇒ 00:31:59.590 Ryan Luke Daque: And.
397 00:32:02.120 ⇒ 00:32:02.693 Patrick Trainer: Sounds good.
398 00:32:03.497 ⇒ 00:32:05.049 Uttam Kumaran: I think that’s
399 00:32:07.260 ⇒ 00:32:09.049 Uttam Kumaran: I think that’s it. Yeah.
400 00:32:12.130 ⇒ 00:32:14.790 Ryan Luke Daque: Yeah. How long will be in in Dubai? Your time.
401 00:32:15.160 ⇒ 00:32:17.379 Uttam Kumaran: I’ll be invited till Sunday.
402 00:32:17.974 ⇒ 00:32:20.350 Ryan Luke Daque: Almost a week. Nice.
403 00:32:20.540 ⇒ 00:32:23.050 Uttam Kumaran: Well, well, I was in India before this.
404 00:32:23.210 ⇒ 00:32:26.420 Uttam Kumaran: So then I’m I’m just in. I’m just here just for 4 days.
405 00:32:27.390 ⇒ 00:32:29.130 Ryan Luke Daque: Going back to India after that, or.
406 00:32:29.130 ⇒ 00:32:30.599 Uttam Kumaran: Going back to India.
407 00:32:31.190 ⇒ 00:32:33.979 Uttam Kumaran: I’m gonna go to my grandma’s house.
408 00:32:34.450 ⇒ 00:32:38.920 Uttam Kumaran: and then I’m there until Sunday, and then I’ll be back
409 00:32:39.360 ⇒ 00:32:40.710 Uttam Kumaran: in Austin
410 00:32:42.520 ⇒ 00:32:45.749 Uttam Kumaran: bright and early on Monday.
411 00:32:45.900 ⇒ 00:32:46.939 Ryan Luke Daque: Let’s see. Yeah.
412 00:32:46.940 ⇒ 00:32:50.159 Uttam Kumaran: Like, pray for, pray for minimal jet, lag.
413 00:32:50.500 ⇒ 00:32:52.310 Patrick Trainer: Yeah. That’ll that’ll be fun.
414 00:32:54.950 ⇒ 00:33:03.130 Uttam Kumaran: It’s like, not too bad going this way, but I think going back. It’s it was like really rough, like I had like 3 weeks of like fucked up my whole life for like 3 weeks.
415 00:33:03.130 ⇒ 00:33:03.510 Patrick Trainer: Really.
416 00:33:03.510 ⇒ 00:33:05.560 Uttam Kumaran: Last like a year ago.
417 00:33:05.970 ⇒ 00:33:07.267 Ryan Luke Daque: I’m traveling right.
418 00:33:08.940 ⇒ 00:33:15.129 Uttam Kumaran: Yeah, I don’t know. I just I just think the urge to urge to sleep in the middle of the day is really high here at home.
419 00:33:15.210 ⇒ 00:33:19.149 Uttam Kumaran: So it’s like you’re out running around. You can kind of get through it.
420 00:33:19.630 ⇒ 00:33:20.509 Patrick Trainer: Right. Sleep in the car.
421 00:33:20.510 ⇒ 00:33:26.540 Uttam Kumaran: For like 30 min on our way there like quick map. But if you’re at, if I’m like in Austin.
422 00:33:26.860 ⇒ 00:33:30.129 Uttam Kumaran: I’m gonna just be like, Oh, I wanna sleep. So
423 00:33:31.820 ⇒ 00:33:35.939 Uttam Kumaran: it’s tough. It’s not like tired like you want to take a map. It’s like full on like.
424 00:33:36.190 ⇒ 00:33:36.670 Ryan Luke Daque: Like the home.
425 00:33:36.670 ⇒ 00:33:41.299 Uttam Kumaran: One am one am full like I actually need to sleep. Sleep.
426 00:33:44.180 ⇒ 00:33:47.278 Patrick Trainer: Yeah, that’s that’s one of those situations where you’re just like
427 00:33:48.060 ⇒ 00:33:54.360 Patrick Trainer: you have to stay. Stay awake for 48 h 72 h, just like, force yourself
428 00:33:54.460 ⇒ 00:33:57.979 Patrick Trainer: to to to reset the clock. Yeah, awful.
429 00:33:58.370 ⇒ 00:34:01.249 Uttam Kumaran: And that’s that’s that’s what I try to do. But it’s.
430 00:34:02.070 ⇒ 00:34:08.872 Ryan Luke Daque: Hard man. Yeah. Takes like 2 or 3 days to like, get used to it. Something.
431 00:34:09.250 ⇒ 00:34:09.940 Uttam Kumaran: Yeah, yeah.
432 00:34:10.320 ⇒ 00:34:14.828 Patrick Trainer: And Ryan. That’s pretty much your life on the weekends, and that, like you’re.
433 00:34:15.568 ⇒ 00:34:21.289 Ryan Luke Daque: Essentially, yeah, cause like Fridays, I I usually just don’t sleep anymore. Because, like.
434 00:34:21.710 ⇒ 00:34:22.070 Patrick Trainer: So.
435 00:34:22.388 ⇒ 00:34:28.130 Ryan Luke Daque: So that I can have like, spend time with the kids in Saturday and stuff. So yeah.
436 00:34:30.150 ⇒ 00:34:33.949 Patrick Trainer: That’s yeah. Yeah. You being on us hours
437 00:34:33.989 ⇒ 00:34:36.458 Patrick Trainer: for 5 days a week is.
438 00:34:36.870 ⇒ 00:34:37.630 Ryan Luke Daque: Like that.
439 00:34:37.630 ⇒ 00:34:38.859 Patrick Trainer: That’s wow.
440 00:34:40.650 ⇒ 00:34:42.766 Patrick Trainer: Yeah. So stop complaining. Dude.
441 00:34:43.199 ⇒ 00:34:46.241 Uttam Kumaran: Yeah, I know. I know I’m trying not to.
442 00:34:46.580 ⇒ 00:34:47.180 Patrick Trainer: That’s like.
443 00:34:48.759 ⇒ 00:34:54.190 Ryan Luke Daque: Like it’s. It’s really different. If you’re like traveling and like it, it hits you different.
444 00:34:55.090 ⇒ 00:34:59.889 Uttam Kumaran: Yeah. And it’s like, now it’s like night time. So I think we’re gonna go try to get some dinner and stuff like that.
445 00:35:00.149 ⇒ 00:35:05.629 Uttam Kumaran: But it’s I don’t know. It’s it’s not one. On one hand, I like feel like I get. I’ve been getting a lot of different type of work done.
446 00:35:06.091 ⇒ 00:35:08.320 Uttam Kumaran: On the other hand, it’s like
447 00:35:09.000 ⇒ 00:35:14.290 Uttam Kumaran: I like, I’m like, it’s like 2 am. And I’m like I need to go to bed. Otherwise the next day isn’t ruined.
448 00:35:14.500 ⇒ 00:35:15.630 Patrick Trainer: Yeah, and you’re like.
449 00:35:15.630 ⇒ 00:35:19.050 Uttam Kumaran: Like in the middle of work. I’m like, Okay, I gotta just cut it out.
450 00:35:19.050 ⇒ 00:35:19.500 Patrick Trainer: Right.
451 00:35:19.500 ⇒ 00:35:20.200 Uttam Kumaran: Though.
452 00:35:20.431 ⇒ 00:35:23.210 Patrick Trainer: You go to sleep. It’s like 3 Pm. And you’re like, Oh.
453 00:35:23.210 ⇒ 00:35:23.740 Uttam Kumaran: Yeah. Days. Are.
454 00:35:23.740 ⇒ 00:35:24.380 Patrick Trainer: Covered.
455 00:35:25.020 ⇒ 00:35:26.470 Uttam Kumaran: Exactly, exactly.
456 00:35:28.090 ⇒ 00:35:32.330 Patrick Trainer: Well, cool. Yeah. Enjoy Dubai. See? Some cool cars.
457 00:35:33.040 ⇒ 00:35:33.849 Uttam Kumaran: Thanks, fan.
458 00:35:34.070 ⇒ 00:35:34.740 Patrick Trainer: Yeah.
459 00:35:35.560 ⇒ 00:35:36.240 Patrick Trainer: Alright. Guys.
460 00:35:36.240 ⇒ 00:35:37.299 Uttam Kumaran: I’ll talk to you soon.
461 00:35:37.510 ⇒ 00:35:38.120 Patrick Trainer: Later.
462 00:35:38.120 ⇒ 00:35:39.389 Ryan Luke Daque: See you guys.