Meeting Title: Friday Brainforge Demos & Retro Date: 2025-10-03 Meeting participants: Awaish Kumar, Justina’s Notetaker (Otter.ai), Robert Tseng, Rico Rejoso, Justin Breshears, Uttam Kumaran, Mustafa Raja, Casie Aviles, Demilade Agboola, Hannah Wang, Justina Spinn, Amber Lin, Raymund Verzosa, Henry Zhao, Ryan Brosas
WEBVTT
1 00:03:25.210 ⇒ 00:03:28.970 Uttam Kumaran: Hey guys. Good morning, or good afternoon, or evening.
2 00:03:29.960 ⇒ 00:03:30.650 Awaish Kumar: Hello.
3 00:03:32.130 ⇒ 00:03:33.060 Justin Breshears: Howdy!
4 00:03:33.240 ⇒ 00:03:33.990 Rico Rejoso: Morning.
5 00:03:36.140 ⇒ 00:03:37.140 Uttam Kumaran: How’s everything?
6 00:03:41.040 ⇒ 00:03:41.890 Awaish Kumar: Oh, Lord.
7 00:03:56.950 ⇒ 00:04:04.430 Uttam Kumaran: I’m feeling a bit under the weather still, so I might not go on video today. I feel like crap. But I am here.
8 00:04:07.970 ⇒ 00:04:11.680 Justin Breshears: animal. I got the allergies killing me right now.
9 00:04:13.340 ⇒ 00:04:14.680 Uttam Kumaran: Yeah, I need that.
10 00:04:15.290 ⇒ 00:04:16.070 Awaish Kumar: I need to get it.
11 00:04:16.079 ⇒ 00:04:18.369 Uttam Kumaran: A couple more days.
12 00:04:20.790 ⇒ 00:04:24.710 Awaish Kumar: All of us got allergies, like Justin, Sam was also mentioning.
13 00:04:25.380 ⇒ 00:04:26.380 Uttam Kumaran: Yeah…
14 00:04:26.660 ⇒ 00:04:32.020 Uttam Kumaran: I feel like it’s the season… like, here in the States, it’s, like, season change, so maybe that’s it.
15 00:04:33.020 ⇒ 00:04:34.159 Justin Breshears: Always gets me.
16 00:04:34.400 ⇒ 00:04:35.710 Justin Breshears: Fall and spring.
17 00:04:39.430 ⇒ 00:04:41.609 Uttam Kumaran: Any plans this weekend, Awash?
18 00:04:43.250 ⇒ 00:04:48.759 Awaish Kumar: Yeah, I will be visiting my parents this weekend.
19 00:04:49.090 ⇒ 00:04:49.850 Uttam Kumaran: Nice.
20 00:04:51.690 ⇒ 00:04:52.799 Awaish Kumar: Yeah, I would like them.
21 00:04:52.950 ⇒ 00:04:59.030 Awaish Kumar: Around 2-3 hours, okay, from the air here, so yeah.
22 00:04:59.200 ⇒ 00:05:02.120 Awaish Kumar: I will just spend some time with him.
23 00:05:03.810 ⇒ 00:05:04.690 Uttam Kumaran: Lovely.
24 00:05:06.730 ⇒ 00:05:09.330 Uttam Kumaran: Oh, everyone’s got great profile photos now.
25 00:05:12.900 ⇒ 00:05:13.630 Awaish Kumar: Yeah.
26 00:05:13.630 ⇒ 00:05:15.649 Amber Lin: Likely to still have it on their…
27 00:05:17.010 ⇒ 00:05:23.930 Amber Lin: Like, a year after it’s released, because it’s already in long-term storage, and that’s impossible to access, and they’d have to…
28 00:05:24.080 ⇒ 00:05:25.240 Amber Lin: take…
29 00:05:25.410 ⇒ 00:05:27.040 Uttam Kumaran: You should be it.
30 00:05:29.420 ⇒ 00:05:30.740 Awaish Kumar: Who’s talking?
31 00:05:36.050 ⇒ 00:05:38.289 Justin Breshears: I’m curious, I wanna… I wanna hear more.
32 00:05:38.490 ⇒ 00:05:39.909 Uttam Kumaran: Yeah, I was like, what?
33 00:05:39.910 ⇒ 00:05:40.500 Justin Breshears: Sure.
34 00:05:40.510 ⇒ 00:05:43.140 Uttam Kumaran: My name’s Robert. It sounded like Robert.
35 00:05:51.090 ⇒ 00:05:56.870 Awaish Kumar: Okay, we are almost 12… 12 people here.
36 00:05:58.040 ⇒ 00:06:00.700 Uttam Kumaran: Yeah, go ahead and get started.
37 00:06:01.300 ⇒ 00:06:03.740 Awaish Kumar: Okay, let’s… let’s start.
38 00:06:03.940 ⇒ 00:06:10.929 Awaish Kumar: I actually… Wanted… for the…
39 00:06:11.950 ⇒ 00:06:13.890 Uttam Kumaran: So the ice vector…
40 00:06:14.050 ⇒ 00:06:18.170 Awaish Kumar: Like, we have the fixed agenda as per each week, like…
41 00:06:19.200 ⇒ 00:06:24.909 Awaish Kumar: Icebreaker updates regarding different departments, and the company, and the shoutouts.
42 00:06:25.370 ⇒ 00:06:30.189 Awaish Kumar: So for the icebreaker, I actually today had the…
43 00:06:30.480 ⇒ 00:06:35.630 Awaish Kumar: I prepared a quiz, kind of, on our maili.com, It’s like.
44 00:06:35.630 ⇒ 00:06:36.160 Uttam Kumaran: Nice.
45 00:06:36.160 ⇒ 00:06:40.220 Awaish Kumar: It’s going to show question, and we are… and everyone…
46 00:06:40.400 ⇒ 00:06:45.189 Awaish Kumar: As to basically join that quiz from their mobile phone.
47 00:06:45.530 ⇒ 00:06:49.169 Awaish Kumar: It will show you the QR, and
48 00:06:49.570 ⇒ 00:07:02.879 Awaish Kumar: the PIN code if needed, and then you can join and basically answer, and after each question, we can see, like, who answered correct and the fastest, and yeah, at the end of it, we’ll have some winner as well.
49 00:07:04.960 ⇒ 00:07:05.900 Awaish Kumar: Oh.
50 00:07:06.550 ⇒ 00:07:07.290 Uttam Kumaran: I’m ready.
51 00:07:07.290 ⇒ 00:07:12.140 Awaish Kumar: So let’s get started. Yeah, I’ll have to stop sharing it again, and…
52 00:07:15.270 ⇒ 00:07:16.020 Awaish Kumar: Just window.
53 00:07:16.020 ⇒ 00:07:18.430 Justin Breshears: I’m about to see my competitive side come out.
54 00:07:22.500 ⇒ 00:07:25.020 Uttam Kumaran: Wait, so there’s a QR? Or…
55 00:07:27.470 ⇒ 00:07:30.030 Awaish Kumar: Oh, my wonderful whiskey.
56 00:07:35.120 ⇒ 00:07:35.870 Uttam Kumaran: Yes.
57 00:07:36.800 ⇒ 00:07:46.179 Awaish Kumar: Okay, yeah, you can just go to menti.com,
58 00:07:46.290 ⇒ 00:07:53.270 Awaish Kumar: and use PIN code, or if you want to use QR, you can just use it And basically.
59 00:07:54.760 ⇒ 00:07:58.559 Awaish Kumar: Sign… sign in on display.
60 00:08:00.000 ⇒ 00:08:04.329 Awaish Kumar: Okay, we have around 8 people already, 9.
61 00:08:09.620 ⇒ 00:08:13.489 Uttam Kumaran: So I should just be seeing this screen that says join using QR, right? That’s what everybody’s seeing?
62 00:08:13.490 ⇒ 00:08:13.980 Awaish Kumar: Yeah, yeah.
63 00:08:13.980 ⇒ 00:08:15.209 Justin Breshears: Yeah, that’s what I’m seeing.
64 00:08:15.710 ⇒ 00:08:24.039 Awaish Kumar: Yeah, that’s all. So, like, almost everyone joined because… except me, we have… 12 people here now,
65 00:08:25.580 ⇒ 00:08:29.460 Awaish Kumar: So, in the next slide, you are going to see a question.
66 00:08:29.630 ⇒ 00:08:33.750 Awaish Kumar: And, on your mobile phone, as well as here.
67 00:08:33.940 ⇒ 00:08:37.039 Awaish Kumar: And then you have to select your answers on the mobile phone.
68 00:08:42.340 ⇒ 00:08:45.409 Justin Breshears: Just says you didn’t respond in time.
69 00:08:45.830 ⇒ 00:08:47.059 Uttam Kumaran: Yeah, I got the same thing.
70 00:08:47.060 ⇒ 00:08:48.610 Awaish Kumar: Let me just…
71 00:08:56.890 ⇒ 00:08:58.100 Awaish Kumar: What’s happening?
72 00:08:59.410 ⇒ 00:09:02.840 Awaish Kumar: basically… Yeah.
73 00:09:06.330 ⇒ 00:09:07.100 Awaish Kumar: Hold on.
74 00:09:13.680 ⇒ 00:09:14.590 Awaish Kumar: Okay.
75 00:09:15.550 ⇒ 00:09:18.070 Uttam Kumaran: I’m getting the same thing, like, you didn’t respond in time.
76 00:09:18.450 ⇒ 00:09:19.070 Justin Breshears: Yeah.
77 00:09:20.360 ⇒ 00:09:22.039 Awaish Kumar: Who actually responded?
78 00:09:43.880 ⇒ 00:09:48.519 Awaish Kumar: Every week, and recently… I think we already…
79 00:09:57.280 ⇒ 00:09:59.019 Uttam Kumaran: Yeah, I’m still not getting anything.
80 00:10:01.370 ⇒ 00:10:04.760 Demilade Agboola: Is it possible you might need to, like, clear results and start again?
81 00:10:05.060 ⇒ 00:10:09.040 Demilade Agboola: Because maybe the test… The test one is still registered.
82 00:10:12.640 ⇒ 00:10:13.670 Awaish Kumar: Wait a sec.
83 00:10:18.100 ⇒ 00:10:23.190 Awaish Kumar: Yeah, it’s just too… Okay.
84 00:10:26.180 ⇒ 00:10:28.800 Demilade Agboola: Going and hopped out, I saw, like, clear results up top.
85 00:10:28.990 ⇒ 00:10:32.729 Demilade Agboola: Maybe that would… If you clear the results.
86 00:10:32.880 ⇒ 00:10:33.910 Demilade Agboola: If that helps.
87 00:10:38.320 ⇒ 00:10:40.910 Uttam Kumaran: Yeah, maybe because you did it during testing.
88 00:10:43.830 ⇒ 00:10:44.840 Awaish Kumar: Okay, yeah.
89 00:10:52.000 ⇒ 00:10:53.260 Uttam Kumaran: Same thing.
90 00:10:53.260 ⇒ 00:10:53.990 Justin Breshears: Yeah.
91 00:10:53.990 ⇒ 00:10:55.880 Uttam Kumaran: Oh, there it is. Okay.
92 00:10:55.880 ⇒ 00:10:57.089 Justin Breshears: There we go.
93 00:10:57.320 ⇒ 00:10:59.360 Justin Breshears: Now it’s like, enter your name.
94 00:11:07.270 ⇒ 00:11:09.940 Justin Breshears: I think I know the answer to the first question, though.
95 00:11:12.560 ⇒ 00:11:15.170 Awaish Kumar: Okay, does… does everybody join?
96 00:11:16.380 ⇒ 00:11:18.670 Awaish Kumar: We have only… we have one players here.
97 00:11:19.950 ⇒ 00:11:20.860 Awaish Kumar: No.
98 00:11:23.410 ⇒ 00:11:24.320 Uttam Kumaran: I’m in.
99 00:11:25.700 ⇒ 00:11:26.860 Uttam Kumaran: on the B.
100 00:11:39.920 ⇒ 00:11:46.710 Awaish Kumar: Okay, we can… Start with question 2, maybe.
101 00:11:50.200 ⇒ 00:11:52.550 Awaish Kumar: Question 1 was… yeah.
102 00:11:56.860 ⇒ 00:11:59.109 Awaish Kumar: You have 30 seconds to answer it.
103 00:12:00.300 ⇒ 00:12:01.960 Uttam Kumaran: Oh, I think I got it wrong.
104 00:12:02.690 ⇒ 00:12:03.700 Uttam Kumaran: Damn it.
105 00:12:09.730 ⇒ 00:12:10.320 Awaish Kumar: Okay.
106 00:12:10.940 ⇒ 00:12:16.470 Uttam Kumaran: Maybe, let’s see… Oh, really?
107 00:12:21.640 ⇒ 00:12:23.630 Justin Breshears: I’d be curious to know the difference.
108 00:12:23.990 ⇒ 00:12:26.200 Justin Breshears: I wonder how… how far off they are.
109 00:12:26.490 ⇒ 00:12:27.080 Uttam Kumaran: Yeah.
110 00:12:27.080 ⇒ 00:12:31.529 Awaish Kumar: We can see here who answered the correct and the fastest.
111 00:12:32.140 ⇒ 00:12:33.340 Justin Breshears: Let’s go.
112 00:12:35.970 ⇒ 00:12:38.360 Awaish Kumar: I don’t know, reason… JB?
113 00:12:39.070 ⇒ 00:12:40.160 Justin Breshears: That’s me.
114 00:12:40.160 ⇒ 00:12:41.290 Awaish Kumar: Oh, okay.
115 00:12:41.520 ⇒ 00:12:43.010 Henry Zhao: I’m coming for you, though.
116 00:12:43.650 ⇒ 00:12:46.120 Uttam Kumaran: I’m, I’m Kobe Ryan.
117 00:12:46.120 ⇒ 00:12:48.869 Justin Breshears: Gotta have some fast fingers. That lollipop will get you.
118 00:12:48.870 ⇒ 00:12:49.420 Awaish Kumar: Good.
119 00:12:49.900 ⇒ 00:12:53.629 Awaish Kumar: And then we have the question third coming.
120 00:13:03.570 ⇒ 00:13:04.410 Awaish Kumar: Okay.
121 00:13:18.490 ⇒ 00:13:19.430 Uttam Kumaran: Hmm…
122 00:13:25.050 ⇒ 00:13:26.220 Uttam Kumaran: Trick question.
123 00:13:35.730 ⇒ 00:13:36.920 Uttam Kumaran: What?
124 00:13:37.380 ⇒ 00:13:38.410 Uttam Kumaran: I suck.
125 00:13:39.070 ⇒ 00:13:39.959 Awaish Kumar: There we go.
126 00:13:41.000 ⇒ 00:13:42.500 Awaish Kumar: Okay, and so…
127 00:13:42.500 ⇒ 00:13:44.220 Justin Breshears: I didn’t grow up in the middle of nowhere.
128 00:13:45.970 ⇒ 00:13:48.259 Awaish Kumar: Yeah, 7 people knew what it is.
129 00:13:50.010 ⇒ 00:13:51.260 Uttam Kumaran: I did lay off.
130 00:13:52.380 ⇒ 00:13:56.289 Awaish Kumar: I can have a look at the leaderboard now and see the changes.
131 00:14:00.810 ⇒ 00:14:01.980 Justin Breshears: Henry God with that time.
132 00:14:01.980 ⇒ 00:14:03.520 Awaish Kumar: Okay, Kristen is still leading.
133 00:14:07.270 ⇒ 00:14:10.890 Awaish Kumar: Okay, now, yeah, the next one…
134 00:14:33.010 ⇒ 00:14:35.809 Awaish Kumar: The next question is on your screens.
135 00:15:02.230 ⇒ 00:15:03.699 Justin Breshears: I have a solder off.
136 00:15:04.620 ⇒ 00:15:05.560 Justin Breshears: Okay.
137 00:15:06.200 ⇒ 00:15:07.430 Uttam Kumaran: Yes.
138 00:15:07.670 ⇒ 00:15:08.970 Uttam Kumaran: Let’s go.
139 00:15:10.050 ⇒ 00:15:15.780 Awaish Kumar: Okay, many… almost everyone knew what it is, and we can have a look at Leaderboard now.
140 00:15:17.790 ⇒ 00:15:21.299 Justin Breshears: I was thinking he’s Finland. I didn’t realize that until after I clicked it.
141 00:15:22.960 ⇒ 00:15:24.619 Uttam Kumaran: And Copenhagen’s Denmark.
142 00:15:25.180 ⇒ 00:15:26.879 Justin Breshears: Then Oslo is Norway.
143 00:15:27.110 ⇒ 00:15:28.400 Uttam Kumaran: Oh, okay.
144 00:15:30.120 ⇒ 00:15:31.380 Uttam Kumaran: Wow.
145 00:15:32.720 ⇒ 00:15:33.410 Awaish Kumar: Okay.
146 00:15:34.300 ⇒ 00:15:37.289 Awaish Kumar: Oh, Henry is now leading the leaderboard.
147 00:15:38.390 ⇒ 00:15:39.310 Henry Zhao: Alright.
148 00:15:44.000 ⇒ 00:15:45.329 Awaish Kumar: Okay,
149 00:15:47.970 ⇒ 00:15:49.270 Awaish Kumar: Okay, great.
150 00:15:49.560 ⇒ 00:15:52.530 Awaish Kumar: Get ready for the next one, and
151 00:15:53.890 ⇒ 00:15:56.080 Awaish Kumar: It’s about to come on your screens.
152 00:16:11.660 ⇒ 00:16:12.430 Awaish Kumar: Oh.
153 00:16:20.490 ⇒ 00:16:22.760 Uttam Kumaran: How’s… what is everyone… how does everyone know this?
154 00:16:24.090 ⇒ 00:16:25.520 Justin Breshears: Complete gas.
155 00:16:26.130 ⇒ 00:16:27.959 Henry Zhao: I learned about this two days ago in a meeting.
156 00:16:28.510 ⇒ 00:16:31.399 Uttam Kumaran: Oh, that’s sweetie, come on!
157 00:16:32.360 ⇒ 00:16:33.610 Demilade Agboola: Are you a guess on me.
158 00:16:34.080 ⇒ 00:16:36.250 Uttam Kumaran: What meeting with Braden?
159 00:16:36.600 ⇒ 00:16:37.629 Henry Zhao: Yeah, I’ve heard Eden.
160 00:16:37.960 ⇒ 00:16:39.340 Uttam Kumaran: Aw, lucky.
161 00:16:39.920 ⇒ 00:16:41.880 Uttam Kumaran: That’s funny.
162 00:16:41.880 ⇒ 00:16:43.380 Awaish Kumar: What’s debatable.
163 00:16:45.470 ⇒ 00:16:46.380 Awaish Kumar: Okay.
164 00:16:46.490 ⇒ 00:16:47.290 Awaish Kumar: Dammit.
165 00:16:52.610 ⇒ 00:16:58.359 Awaish Kumar: Henry’s still leading the leaderboard, and… Justina, as a Yamad.
166 00:17:03.760 ⇒ 00:17:07.059 Awaish Kumar: Okay, we can move to the next one.
167 00:17:08.440 ⇒ 00:17:11.230 Awaish Kumar: Question number 6…
168 00:17:28.400 ⇒ 00:17:30.489 Awaish Kumar: Okay, that was so fast.
169 00:17:31.310 ⇒ 00:17:32.610 Awaish Kumar: And nobody…
170 00:17:33.260 ⇒ 00:17:34.340 Uttam Kumaran: our crowd.
171 00:17:34.340 ⇒ 00:17:36.039 Awaish Kumar: Mark, correctly, no.
172 00:17:36.870 ⇒ 00:17:37.949 Justin Breshears: I’m proud of us.
173 00:17:43.340 ⇒ 00:17:45.360 Awaish Kumar: But who answered the fastest?
174 00:17:45.820 ⇒ 00:17:46.560 Awaish Kumar: Yeah.
175 00:17:49.580 ⇒ 00:17:50.380 Awaish Kumar: Monday.
176 00:17:51.320 ⇒ 00:17:54.890 Awaish Kumar: Yeah, that changes your position, Justin.
177 00:17:55.110 ⇒ 00:17:57.990 Uttam Kumaran: I’m not even on the leader… I’m just, like, at the bottom of the leaderboard.
178 00:18:01.690 ⇒ 00:18:05.939 Uttam Kumaran: I got that one really quick, though, so, you know, I couldn’t come back. See.
179 00:18:06.070 ⇒ 00:18:08.499 Uttam Kumaran: Major comeback in the second half.
180 00:18:09.720 ⇒ 00:18:10.900 Awaish Kumar: Okay.
181 00:18:11.170 ⇒ 00:18:16.780 Awaish Kumar: Question number 7,
182 00:18:33.870 ⇒ 00:18:35.929 Awaish Kumar: That should be easy as well.
183 00:18:47.400 ⇒ 00:18:48.520 Uttam Kumaran: Eww.
184 00:18:51.900 ⇒ 00:18:53.950 Awaish Kumar: Yeah, mostly you can go to Greg.
185 00:18:55.560 ⇒ 00:18:57.989 Awaish Kumar: Let’s have a look at the early abort now.
186 00:19:01.140 ⇒ 00:19:03.090 Uttam Kumaran: I only get the easy ones right.
187 00:19:08.010 ⇒ 00:19:08.760 Awaish Kumar: Ben?
188 00:19:09.000 ⇒ 00:19:11.489 Uttam Kumaran: I mean, Henry and Justine are stealing it, that’s…
189 00:19:11.490 ⇒ 00:19:20.370 Awaish Kumar: Still on the… leading the… Because, no, just making the comeback.
190 00:19:20.750 ⇒ 00:19:25.510 Justin Breshears: I’m clawing my way back in after that fumble on Helsinki.
191 00:19:28.470 ⇒ 00:19:32.960 Uttam Kumaran: We need, we need Henry to have some technical difficulties here. I know!
192 00:19:33.310 ⇒ 00:19:34.030 Awaish Kumar: Yeah.
193 00:19:34.230 ⇒ 00:19:39.240 Awaish Kumar: The next question is, I mean, to your screen, what happens?
194 00:20:02.430 ⇒ 00:20:03.290 Uttam Kumaran: Ugh.
195 00:20:04.440 ⇒ 00:20:06.269 Awaish Kumar: What about papyrus?
196 00:20:08.940 ⇒ 00:20:10.250 Awaish Kumar: What about what?
197 00:20:11.190 ⇒ 00:20:17.850 Uttam Kumaran: I went to Egypt, and they told me they invented it there, because it’s on the papyrus, right? The papyrus plant, or whatever.
198 00:20:18.090 ⇒ 00:20:22.949 Justin Breshears: That’s a… that’s a controversial answer right there, because, yeah, there’s… there’s people that say either one.
199 00:20:25.220 ⇒ 00:20:28.080 Awaish Kumar: Yeah, but, like, mostly, say, China.
200 00:20:30.690 ⇒ 00:20:31.400 Uttam Kumaran: aren’t I?
201 00:20:32.730 ⇒ 00:20:35.230 Awaish Kumar: Yeah, I can have a look at the…
202 00:20:39.120 ⇒ 00:20:41.770 Awaish Kumar: Yeah, I hope no one is here from Greece.
203 00:20:48.990 ⇒ 00:20:52.160 Awaish Kumar: Okay, still the same leaderboard,
204 00:20:54.430 ⇒ 00:20:57.239 Awaish Kumar: The next one, should be…
205 00:21:15.510 ⇒ 00:21:16.459 Justin Breshears: This is tough.
206 00:21:16.460 ⇒ 00:21:20.040 Uttam Kumaran: Hard one.
207 00:21:24.260 ⇒ 00:21:27.050 Uttam Kumaran: Alright, I don’t know.
208 00:21:27.570 ⇒ 00:21:28.729 Uttam Kumaran: I feel like it’s…
209 00:21:28.730 ⇒ 00:21:29.710 Awaish Kumar: Okay.
210 00:21:29.870 ⇒ 00:21:31.790 Uttam Kumaran: Oh, I thought it could be Spanish.
211 00:21:33.060 ⇒ 00:21:36.299 Justin Breshears: I thought it was either between that or Hindi for me.
212 00:21:37.060 ⇒ 00:21:37.800 Uttam Kumaran: Yeah…
213 00:21:40.490 ⇒ 00:21:49.190 Awaish Kumar: Yeah, it could be confusing between Chinese and Hindi, because… contribution there.
214 00:21:49.720 ⇒ 00:21:51.050 Justin Breshears: A lot of people.
215 00:21:51.050 ⇒ 00:21:51.680 Awaish Kumar: Yeah.
216 00:21:53.670 ⇒ 00:21:58.590 Awaish Kumar: Okay, we see now how the leaderboards… MOOCs.
217 00:21:58.590 ⇒ 00:22:00.630 Justin Breshears: Oh no, Justina!
218 00:22:00.790 ⇒ 00:22:04.560 Uttam Kumaran: Okay, let’s see. Yeah. There it is.
219 00:22:04.560 ⇒ 00:22:05.980 Henry Zhao: Oh, Justin’s coming back.
220 00:22:06.370 ⇒ 00:22:07.520 Justin Breshears: That’s good.
221 00:22:07.520 ⇒ 00:22:09.670 Awaish Kumar: coming back, and Hannah is also.
222 00:22:09.670 ⇒ 00:22:11.949 Justin Breshears: Feel… feel the pressure, Henry.
223 00:22:14.280 ⇒ 00:22:15.879 Awaish Kumar: Hannah is also in the race.
224 00:22:19.090 ⇒ 00:22:20.500 Justin Breshears: It’s anyone’s ballgame.
225 00:22:27.400 ⇒ 00:22:31.249 Awaish Kumar: Okay, let’s start, with the question number 10.
226 00:22:44.820 ⇒ 00:22:49.430 Justin Breshears: I’m gonna go with option E. Toddler was something they’re not supposed to have.
227 00:22:52.240 ⇒ 00:22:53.000 Awaish Kumar: Okay.
228 00:22:54.380 ⇒ 00:22:55.260 Awaish Kumar: Very good.
229 00:22:55.260 ⇒ 00:22:58.749 Uttam Kumaran: That’s all about speed, you know? This one, blah, but…
230 00:22:59.010 ⇒ 00:23:01.819 Uttam Kumaran: Literally answering the question as fast as possible.
231 00:23:04.280 ⇒ 00:23:07.189 Awaish Kumar: You don’t going to change anything right now.
232 00:23:07.190 ⇒ 00:23:13.379 Uttam Kumaran: I’m never gonna show up on this top 10, you know, so for me, I’m just trying to make sure I’m not at the back, at the bottom.
233 00:23:13.380 ⇒ 00:23:16.029 Justin Breshears: And not with that attitude, you’re not.
234 00:23:16.950 ⇒ 00:23:20.809 Uttam Kumaran: You know, this is You win some, you lose some.
235 00:23:20.810 ⇒ 00:23:21.360 Justin Breshears: Good.
236 00:23:22.360 ⇒ 00:23:24.000 Justin Breshears: I believe in you.
237 00:23:24.000 ⇒ 00:23:26.590 Uttam Kumaran: I start off really far in the back of the path.
238 00:23:27.550 ⇒ 00:23:30.599 Awaish Kumar: Ray was the fastest one answering this question.
239 00:23:31.280 ⇒ 00:23:32.190 Uttam Kumaran: Nice.
240 00:23:33.420 ⇒ 00:23:35.370 Uttam Kumaran: I feel like Ray’s been moving up.
241 00:23:41.380 ⇒ 00:23:45.710 Awaish Kumar: For the next question, please have a look at your screens, and…
242 00:24:09.020 ⇒ 00:24:10.030 Uttam Kumaran: Damn it.
243 00:24:12.740 ⇒ 00:24:15.000 Awaish Kumar: Great, let’s… Let’s have a look.
244 00:24:15.000 ⇒ 00:24:20.949 Uttam Kumaran: I thought because Oasis, like, he was thinking about India, so he did Kingfisher.
245 00:24:24.830 ⇒ 00:24:27.040 Awaish Kumar: Guys, I’m just not, like…
246 00:24:28.510 ⇒ 00:24:31.580 Uttam Kumaran: I’ve never seen the Teams Fisher on the actual…
247 00:24:32.030 ⇒ 00:24:39.959 Awaish Kumar: most of the questions, like, regarding population, number of people, like, India is the Kind of a place where…
248 00:24:40.240 ⇒ 00:24:42.479 Awaish Kumar: If it comes up, like, when there’s…
249 00:24:43.080 ⇒ 00:24:51.660 Awaish Kumar: When we’re talking about numbers of the people and… Things like that, and mom.
250 00:24:51.770 ⇒ 00:24:52.710 Awaish Kumar: Yeah.
251 00:24:53.460 ⇒ 00:25:00.580 Awaish Kumar: Justin was the fastest one to answer this, and then we have… I think the same leaderboard?
252 00:25:01.710 ⇒ 00:25:04.409 Awaish Kumar: We can move on to the next question.
253 00:25:18.710 ⇒ 00:25:24.130 Awaish Kumar: That I learned recently when, macron was Missing USA.
254 00:25:38.060 ⇒ 00:25:38.780 Awaish Kumar: Okay.
255 00:25:39.210 ⇒ 00:25:40.120 Uttam Kumaran: Nice.
256 00:25:43.540 ⇒ 00:25:45.479 Awaish Kumar: Basically, I answered it when I…
257 00:25:45.680 ⇒ 00:25:47.790 Awaish Kumar: When I was talking, kind of.
258 00:25:53.290 ⇒ 00:25:58.139 Justin Breshears: Countries don’t do that anymore, like, we ain’t giving big ol’ statues as gifts.
259 00:25:58.140 ⇒ 00:25:59.300 Uttam Kumaran: Yeah.
260 00:26:00.000 ⇒ 00:26:00.940 Justin Breshears: What’s up with that?
261 00:26:03.330 ⇒ 00:26:08.969 Uttam Kumaran: Henry’s looking at fastest? I did it in, like, a minute. Or, like, a second. It was, like, second 1.3.
262 00:26:10.220 ⇒ 00:26:15.119 Henry Zhao: And mine was .63 seconds. I don’t know, maybe an internet connection also has to do with it?
263 00:26:15.890 ⇒ 00:26:17.070 Awaish Kumar: Yeah, maybe.
264 00:26:18.080 ⇒ 00:26:20.350 Uttam Kumaran: Yeah, it could be my brain connection, too.
265 00:26:20.630 ⇒ 00:26:21.130 Henry Zhao: Excuse me.
266 00:26:21.130 ⇒ 00:26:23.550 Justin Breshears: Wait a second to find the answer choice.
267 00:26:27.030 ⇒ 00:26:35.030 Awaish Kumar: Okay, let’s… Let’s get ready, Question number 13.
268 00:26:36.650 ⇒ 00:26:38.040 Awaish Kumar: on the screens.
269 00:26:43.880 ⇒ 00:26:45.180 Awaish Kumar: Oh,
270 00:26:47.200 ⇒ 00:26:48.609 Justin Breshears: Which dolphin is it?
271 00:26:50.470 ⇒ 00:26:53.120 Awaish Kumar: I have some competition, but…
272 00:27:00.300 ⇒ 00:27:01.060 Awaish Kumar: Okay.
273 00:27:01.910 ⇒ 00:27:03.889 Awaish Kumar: Everybody got his right hand.
274 00:27:05.430 ⇒ 00:27:07.390 Justin Breshears: We lose two players, though?
275 00:27:07.390 ⇒ 00:27:12.399 Uttam Kumaran: Yeah, my, like, my Wi-Fi on my phone just cut out. Hold on.
276 00:27:12.510 ⇒ 00:27:13.100 Uttam Kumaran: Oh, yeah.
277 00:27:13.670 ⇒ 00:27:16.790 Awaish Kumar: I think one or two people were not able to answer it.
278 00:27:17.640 ⇒ 00:27:18.940 Uttam Kumaran: One was me.
279 00:27:22.250 ⇒ 00:27:24.450 Uttam Kumaran: It kicked me out, I’ll be back again.
280 00:27:26.540 ⇒ 00:27:28.759 Justin Breshears: Ria Casey covered up the board.
281 00:27:29.610 ⇒ 00:27:34.799 Awaish Kumar: Yeah, still, this is between you, Justin, and Henry.
282 00:28:05.600 ⇒ 00:28:13.030 Uttam Kumaran: 0.6 seconds is so tough, because I feel like it’s, like, 200 milliseconds just to load, like, the page.
283 00:28:15.660 ⇒ 00:28:16.440 Awaish Kumar: Okay.
284 00:28:16.910 ⇒ 00:28:20.459 Awaish Kumar: Yeah, I might be able to change the timing.
285 00:28:20.460 ⇒ 00:28:25.980 Uttam Kumaran: No, no, no, no, I’m not, I’m not saying… I’m just trying to think, how is, like, Henry’s… it’s so fast?
286 00:28:25.980 ⇒ 00:28:26.500 Awaish Kumar: Oh.
287 00:28:28.660 ⇒ 00:28:30.570 Henry Zhao: We gotta get that faster internet with time.
288 00:28:32.310 ⇒ 00:28:34.290 Awaish Kumar: Where are you able to see that?
289 00:28:34.290 ⇒ 00:28:35.870 Uttam Kumaran: I’m on Fiber!
290 00:28:36.650 ⇒ 00:28:39.530 Henry Zhao: I’m actually just on my T-Mobile. I’m not even connected to Wi-Fi.
291 00:28:41.830 ⇒ 00:28:43.480 Uttam Kumaran: Alright, you don’t need to brag.
292 00:28:43.480 ⇒ 00:28:44.700 Henry Zhao: We gotta give that a try.
293 00:28:44.700 ⇒ 00:28:52.159 Uttam Kumaran: Maybe you need to give Getting Smarter a try. Yes, thank you. I will try.
294 00:28:56.910 ⇒ 00:29:00.059 Awaish Kumar: Dustin was the one. Monster Fast for this?
295 00:29:01.040 ⇒ 00:29:03.519 Henry Zhao: Yeah, Justin, do you… what service do you have?
296 00:29:04.120 ⇒ 00:29:05.730 Justin Breshears: AT&T…
297 00:29:05.730 ⇒ 00:29:07.940 Henry Zhao: Oh, wow, clearly AT&T’s the fastest.
298 00:29:10.690 ⇒ 00:29:13.850 Justin Breshears: There’s a lot of video games drawn up, the thumbs are quick.
299 00:29:14.580 ⇒ 00:29:16.889 Henry Zhao: This should be, like, their, advertisement.
300 00:29:17.130 ⇒ 00:29:17.989 Uttam Kumaran: Yeah, huh.
301 00:29:18.400 ⇒ 00:29:19.789 Henry Zhao: Yeah, be like JB.
302 00:29:23.730 ⇒ 00:29:27.979 Awaish Kumar: Okay, let’s… We’ll move for the next one…
303 00:29:32.250 ⇒ 00:29:33.659 Awaish Kumar: Okay, no.
304 00:29:42.640 ⇒ 00:29:43.760 Awaish Kumar: prominent.
305 00:29:45.580 ⇒ 00:29:48.600 Justin Breshears: 1.84 that time. I’m slacking.
306 00:29:59.180 ⇒ 00:30:00.130 Awaish Kumar: Oh, weird.
307 00:30:00.370 ⇒ 00:30:03.279 Awaish Kumar: Now we have some variation in the answers.
308 00:30:08.270 ⇒ 00:30:10.280 Awaish Kumar: Let’s see, the leaderboard.
309 00:30:16.270 ⇒ 00:30:17.150 Awaish Kumar: Okay.
310 00:30:21.170 ⇒ 00:30:22.040 Awaish Kumar: Yeah.
311 00:30:22.320 ⇒ 00:30:24.410 Awaish Kumar: Casey is coming up the board.
312 00:30:32.830 ⇒ 00:30:35.950 Awaish Kumar: Let’s move on to the next one.
313 00:30:41.240 ⇒ 00:30:42.600 Awaish Kumar: Sweet.
314 00:30:57.640 ⇒ 00:30:58.840 Justin Breshears: Completely guess.
315 00:31:08.120 ⇒ 00:31:08.970 Awaish Kumar: Right.
316 00:31:10.700 ⇒ 00:31:11.730 Awaish Kumar: Okay.
317 00:31:12.080 ⇒ 00:31:12.939 Awaish Kumar: That will change.
318 00:31:12.940 ⇒ 00:31:15.589 Justin Breshears: question is, did Henry get it right?
319 00:31:15.590 ⇒ 00:31:16.640 Henry Zhao: No, I didn’t.
320 00:31:17.190 ⇒ 00:31:18.290 Awaish Kumar: We can see it.
321 00:31:18.290 ⇒ 00:31:21.509 Justin Breshears: Dang, that was my chance. I missed it.
322 00:31:22.320 ⇒ 00:31:23.259 Uttam Kumaran: No, I didn’.
323 00:31:23.480 ⇒ 00:31:24.270 Awaish Kumar: Only Ricoh.
324 00:31:24.270 ⇒ 00:31:24.880 Henry Zhao: Oh, wow.
325 00:31:24.880 ⇒ 00:31:25.819 Awaish Kumar: One moment.
326 00:31:28.580 ⇒ 00:31:29.420 Awaish Kumar: Okay.
327 00:31:29.820 ⇒ 00:31:32.350 Awaish Kumar: But didn’t make any changes in the…
328 00:31:32.350 ⇒ 00:31:33.979 Uttam Kumaran: Hannah and Casey.
329 00:31:33.980 ⇒ 00:31:34.450 Henry Zhao: Tough one.
330 00:31:34.720 ⇒ 00:31:35.550 Uttam Kumaran: Alright.
331 00:31:41.230 ⇒ 00:31:44.979 Henry Zhao: I thought it couldn’t be 3, because that would be, like, a weird number to have, like, it doesn’t balance out, you know?
332 00:31:45.560 ⇒ 00:31:47.429 Awaish Kumar: Goats have 4 stomachs.
333 00:31:47.430 ⇒ 00:31:50.860 Justin Breshears: I would have gone with 8 if that was an answer choice.
334 00:31:50.860 ⇒ 00:31:54.489 Henry Zhao: Yeah, for some reason, I thought it was 8 also. It’s in my head, I don’t know why.
335 00:31:55.400 ⇒ 00:31:59.620 Awaish Kumar: I think that’s… that’s for brain, right?
336 00:32:00.950 ⇒ 00:32:01.939 Uttam Kumaran: That, 8 brains?
337 00:32:01.940 ⇒ 00:32:02.799 Awaish Kumar: So, yeah.
338 00:32:03.000 ⇒ 00:32:04.480 Henry Zhao: I think they have 8 tentacles.
339 00:32:04.480 ⇒ 00:32:07.580 Awaish Kumar: There’s brains in each of these, like, the Lambo.
340 00:32:07.580 ⇒ 00:32:09.510 Uttam Kumaran: Oh, yeah, interesting.
341 00:32:16.910 ⇒ 00:32:17.880 Justin Breshears: Man…
342 00:32:37.960 ⇒ 00:32:39.900 Awaish Kumar: Okay, here.
343 00:32:40.340 ⇒ 00:32:42.710 Awaish Kumar: Let’s have a look at the leaderboard, and…
344 00:32:45.220 ⇒ 00:32:47.629 Henry Zhao: Jb, we’re falling off at the end.
345 00:32:47.630 ⇒ 00:32:51.959 Justin Breshears: I know, I had 2 shots to overtake you, and I blew both of them.
346 00:32:52.740 ⇒ 00:32:54.270 Henry Zhao: I could have sworn it was Jupiter.
347 00:32:54.450 ⇒ 00:32:57.919 Justin Breshears: Yeah, it’s between that and Saturn for me. I didn’t know.
348 00:32:57.920 ⇒ 00:33:02.829 Awaish Kumar: I thought Saturn was more rings, and Jupiter was more moons. I thought it was, like, a trick question.
349 00:33:02.830 ⇒ 00:33:04.310 Uttam Kumaran: Yeah, I agree.
350 00:33:04.310 ⇒ 00:33:05.329 Justin Breshears: I’m with you.
351 00:33:06.370 ⇒ 00:33:07.720 Awaish Kumar: Let’s riot.
352 00:33:08.640 ⇒ 00:33:12.220 Henry Zhao: What was the one that’s, like, that only has 4 major moons? I thought that was Saturn.
353 00:33:14.910 ⇒ 00:33:20.220 Henry Zhao: I still remember the mnemonic device, I eat graham crackers. I owe, etc.
354 00:33:21.550 ⇒ 00:33:23.319 Awaish Kumar: Okay, let’s…
355 00:33:23.950 ⇒ 00:33:29.119 Justin Breshears: Let’s have a look at the last question, and that’s… I hope everybody answers it right.
356 00:33:35.000 ⇒ 00:33:35.489 Justin Breshears: Oh, man.
357 00:33:35.490 ⇒ 00:33:37.209 Henry Zhao: It was gonna be a Brain Forge question.
358 00:33:43.740 ⇒ 00:33:46.120 Uttam Kumaran: Everybody drinks?
359 00:33:47.320 ⇒ 00:33:48.710 Henry Zhao: It should be one of the values.
360 00:33:51.840 ⇒ 00:33:54.589 Uttam Kumaran: That’s funny. Everybody dances a good one.
361 00:33:55.500 ⇒ 00:33:57.550 Justin Breshears: Oh, who put everybody drinks?
362 00:33:57.550 ⇒ 00:33:58.540 Uttam Kumaran: Everybody works.
363 00:33:59.320 ⇒ 00:34:00.500 Henry Zhao: Oh, that was me.
364 00:34:02.310 ⇒ 00:34:03.420 Uttam Kumaran: That’s awesome.
365 00:34:03.840 ⇒ 00:34:10.360 Justin Breshears: Okay, let’s have a look at them. I’m really sad that nobody put everybody dances, though, I feel like that should be it.
366 00:34:13.360 ⇒ 00:34:13.980 Awaish Kumar: Oh.
367 00:34:14.949 ⇒ 00:34:15.619 Justin Breshears: I don’t know, hid.
368 00:34:15.620 ⇒ 00:34:18.480 Uttam Kumaran: Oh, no way! Right at the end?
369 00:34:18.480 ⇒ 00:34:20.160 Justin Breshears: How did that happen?
370 00:34:21.989 ⇒ 00:34:23.599 Uttam Kumaran: Wow.
371 00:34:24.550 ⇒ 00:34:28.299 Henry Zhao: I blame Uten for not telling me in Chicago the values.
372 00:34:28.300 ⇒ 00:34:30.709 Uttam Kumaran: I know, I haven’t presented on that a bit.
373 00:34:32.860 ⇒ 00:34:35.490 Justin Breshears: I do not know our values either.
374 00:34:35.770 ⇒ 00:34:39.059 Uttam Kumaran: I should, I’m gonna go make sure of the slides today.
375 00:34:40.219 ⇒ 00:34:41.260 Uttam Kumaran: That’s funny.
376 00:34:42.400 ⇒ 00:34:44.090 Awaish Kumar: That’s the…
377 00:34:44.110 ⇒ 00:34:45.770 Justin Breshears: That was fun.
378 00:34:46.669 ⇒ 00:34:48.369 Uttam Kumaran: Thanks so much, that was great.
379 00:34:49.800 ⇒ 00:34:54.129 Awaish Kumar: Yeah, like, I was thinking of making it more customized, like.
380 00:34:54.560 ⇒ 00:35:00.520 Awaish Kumar: But I didn’t have enough time to ask everybody some questions and build a fund.
381 00:35:01.470 ⇒ 00:35:07.339 Justin Breshears: Oh, that would be fun if everybody, like, submitted a fact about themselves, and we just had to guess who it was.
382 00:35:08.490 ⇒ 00:35:12.790 Awaish Kumar: Yeah, but it would require some time to collect answers, yeah.
383 00:35:14.160 ⇒ 00:35:18.389 Awaish Kumar: Yeah, we can now move into our regular…
384 00:35:19.560 ⇒ 00:35:24.069 Awaish Kumar: I think I’ll just… like, next one is lab share, and I will just,
385 00:35:24.580 ⇒ 00:35:27.009 Awaish Kumar: start on that one, basically.
386 00:35:29.840 ⇒ 00:35:35.419 Awaish Kumar: So, yeah, the… The lecture is about,
387 00:35:37.010 ⇒ 00:35:44.100 Awaish Kumar: about the Omni. Omni is an analytics platform, and basically…
388 00:35:44.290 ⇒ 00:35:47.960 Awaish Kumar: It’s kind of all-in-one platform, where you can,
389 00:35:48.340 ⇒ 00:35:59.729 Awaish Kumar: connect it to the DVT, and run your models, use it as an ID, and basically push your code on the GitHub, and it can…
390 00:35:59.890 ⇒ 00:36:03.190 Awaish Kumar: Can be used as a compute, like, it can run your models.
391 00:36:03.360 ⇒ 00:36:07.959 Awaish Kumar: like, like, kind of DB jobs, and then…
392 00:36:08.220 ⇒ 00:36:23.259 Awaish Kumar: it can also be used as a visualization. It can create… help us create dashboards and stuff like that. So it’s kind of an all-in-one platform. I would just go over, each of these features in a…
393 00:36:24.360 ⇒ 00:36:31.310 Awaish Kumar: Like, you know, as a quick overview of all of these features, and yeah, that will be it for the lecture.
394 00:36:31.900 ⇒ 00:36:32.550 Uttam Kumaran: Okay.
395 00:36:32.710 ⇒ 00:36:34.790 Awaish Kumar: For the first one, like.
396 00:36:35.520 ⇒ 00:36:51.819 Awaish Kumar: Like, whenever… first of all, you have to use this brainforce.omniave.co to log into this platform, and then if you’re an admin, you can go into the settings and connections to add new connection if you want to connect to a different database.
397 00:36:53.390 ⇒ 00:37:00.269 Awaish Kumar: And basically, Like, when you are setting up that connection, we can basically provide the…
398 00:37:01.040 ⇒ 00:37:06.680 Awaish Kumar: where we want to, like, how we… how we wanna connect the dbt for that
399 00:37:06.780 ⇒ 00:37:11.329 Awaish Kumar: specific connection, so we have to connect the Git
400 00:37:11.580 ⇒ 00:37:16.810 Awaish Kumar: repository for dbt project with the platform, and .
401 00:37:17.180 ⇒ 00:37:21.600 Uttam Kumaran: Noish, can you explain what Snowflake is, and what is in Snowflake right now?
402 00:37:24.940 ⇒ 00:37:25.700 Awaish Kumar: No.
403 00:37:25.700 ⇒ 00:37:26.950 Uttam Kumaran: Book that may not know.
404 00:37:27.320 ⇒ 00:37:30.000 Awaish Kumar: Sorry, do you want me to say something about Snowflake?
405 00:37:30.300 ⇒ 00:37:34.910 Uttam Kumaran: Yeah, I would just explain, like, what is in Snowflake, and what we’re using it for.
406 00:37:35.440 ⇒ 00:37:40.220 Awaish Kumar: Yeah, yes. Snowflake is, a data warehouse.
407 00:37:40.580 ⇒ 00:37:50.659 Awaish Kumar: Which, basically, we use to store data for two purposes. One is keeping the historical repository of all the data
408 00:37:50.670 ⇒ 00:38:01.240 Awaish Kumar: Of an organization, or we can… we could also use it as a… as a data, like, use it as for our database for our analytical reporting.
409 00:38:01.710 ⇒ 00:38:12.479 Awaish Kumar: And, it’s similar to Google BigQuery, that shifts, in the AWS, and, Then we have Snowflake.
410 00:38:12.630 ⇒ 00:38:14.179 Awaish Kumar: And then, yeah…
411 00:38:14.740 ⇒ 00:38:29.319 Awaish Kumar: in the Snowflake, we basically can, like, create different databases, store the data, which is coming from different sources, and then we… what I was mentioning, connecting it with the dbt. dbt is a kind of a…
412 00:38:29.610 ⇒ 00:38:44.860 Awaish Kumar: tool to transform the data using the SQLs. It just helps us to basically write SQL in a better modular and reusable way, but at the end of it, we are writing SQL to transform the
413 00:38:44.990 ⇒ 00:38:55.400 Awaish Kumar: the data which is available in our database in a form that is really useful for the end user or for our data analyst.
414 00:38:55.630 ⇒ 00:39:00.489 Awaish Kumar: To be able to curate and connect it with some visualization dashboard.
415 00:39:03.090 ⇒ 00:39:08.679 Awaish Kumar: And this is just an… as a view, like, how do you connect…
416 00:39:08.800 ⇒ 00:39:27.720 Awaish Kumar: Snowflake with dbt project, which is in… so we have database in Snowflake, we have our project in GitHub, and then it just basically shows how do you connect all these together in Omni. So, any changes we make in the Omni ID can… we can push it to GitHub and
417 00:39:27.980 ⇒ 00:39:30.270 Awaish Kumar: Vice versa, basically.
418 00:39:30.560 ⇒ 00:39:38.379 Awaish Kumar: And then we can run migrations to create reviews and different relationships based on whatever transformation we have wrote in dbt project.
419 00:39:39.350 ⇒ 00:39:47.559 Awaish Kumar: Yeah, so from here, I’ll just move back. We have already set up the connection here, and
420 00:39:48.420 ⇒ 00:39:57.709 Awaish Kumar: So, next thing is, like, how can… like, now, for this project, I’ve already connected the dbt, now how can you access it in the Omni platform?
421 00:39:57.880 ⇒ 00:40:11.969 Awaish Kumar: You can just move from here to Snowflake, And maybe we can just… We’ll put something here.
422 00:40:13.440 ⇒ 00:40:16.970 Awaish Kumar: Yeah, from here, you can basically just see different
423 00:40:17.110 ⇒ 00:40:21.960 Awaish Kumar: like, the database is available in our Snowflake database, and…
424 00:40:22.250 ⇒ 00:40:26.030 Awaish Kumar: The different, schemas and the tables available there.
425 00:40:26.610 ⇒ 00:40:28.440 Awaish Kumar: And then you…
426 00:40:31.170 ⇒ 00:40:38.799 Awaish Kumar: basically, you can click on Develop, yeah, we’re in for Snowflake. From here, you can go to, like, on the…
427 00:40:40.050 ⇒ 00:40:42.509 Awaish Kumar: If you click on Develop, which is,
428 00:40:43.260 ⇒ 00:40:45.929 Awaish Kumar: Which is a button near the settings.
429 00:40:46.500 ⇒ 00:40:47.790 Awaish Kumar: And…
430 00:40:48.790 ⇒ 00:40:58.559 Awaish Kumar: From there, we can click on the connection we want to work on, and on the left sidebar, you can see an icon called dbt ID.
431 00:40:58.900 ⇒ 00:41:01.660 Awaish Kumar: And when you click on it, you can basically…
432 00:41:01.830 ⇒ 00:41:07.689 Awaish Kumar: see the dbt project, which is available on GitHub. We can access everything here.
433 00:41:09.520 ⇒ 00:41:16.240 Awaish Kumar: Linear, for example, I… Click on this. So this is read-only mode, it’s just because we are…
434 00:41:16.390 ⇒ 00:41:18.540 Awaish Kumar: Reading it, but you basically can.
435 00:41:18.540 ⇒ 00:41:23.909 Uttam Kumaran: In a way, can you explain to folks, like, for example, what that query we’re looking at is?
436 00:41:24.990 ⇒ 00:41:26.589 Awaish Kumar: Okay, so…
437 00:41:26.890 ⇒ 00:41:31.830 Awaish Kumar: The query we are, right now, we are looking at is, like, as you can see from
438 00:41:32.280 ⇒ 00:41:44.130 Awaish Kumar: how we have organized it. It is an intermediate model under linear folder. That means it’s data coming from our linear tool, and in this
439 00:41:44.500 ⇒ 00:41:50.930 Awaish Kumar: Kerry, basically, we are… Trying to, get data from…
440 00:41:51.460 ⇒ 00:41:55.859 Awaish Kumar: Multiple tables in the, like, the linear
441 00:41:56.190 ⇒ 00:42:12.959 Awaish Kumar: like, when we get the data from linear platform, it’s divided in multiple tables, so this is the carrier, basically, to access data from multiple tables in that database for linear. It can have issues, like, all the linear issues, there are due dates.
442 00:42:13.140 ⇒ 00:42:18.359 Awaish Kumar: Who is the signee on that ticket, and what are the estimations?
443 00:42:18.730 ⇒ 00:42:24.049 Awaish Kumar: And what team it belongs, And then further down, we can just see…
444 00:42:29.010 ⇒ 00:42:32.930 Awaish Kumar: Okay, we can see the… if it… if it’s, like,
445 00:42:35.370 ⇒ 00:42:42.750 Awaish Kumar: It is… it drives from multiple tables, and we can see if it is done, it is delayed, or it’s done after the due date, or things like that.
446 00:42:43.220 ⇒ 00:42:47.609 Awaish Kumar: And yeah, that’s called one of the dbt model.
447 00:42:47.750 ⇒ 00:42:53.089 Awaish Kumar: And at the end of it, you can basically see, like, how you are accessing it is…
448 00:42:53.580 ⇒ 00:42:55.020 Awaish Kumar: Like, this is the…
449 00:42:55.940 ⇒ 00:43:06.220 Awaish Kumar: the kind of syntax for dbt. Like, what separates an SQL carry from dbt is basically when we have a use of these, Jinja
450 00:43:06.350 ⇒ 00:43:10.960 Awaish Kumar: templates in SQL, that means it’s… most likely we are using dbt.
451 00:43:12.990 ⇒ 00:43:19.760 Awaish Kumar: So, this is called a DVT model, and then you can maybe open it, In a workbook?
452 00:43:20.040 ⇒ 00:43:24.960 Awaish Kumar: And if you open it in… like, previously we saw it was in a…
453 00:43:25.400 ⇒ 00:43:30.460 Awaish Kumar: ID, like, a read-only ID, but when I click on workbook, it opens it here.
454 00:43:30.830 ⇒ 00:43:35.120 Awaish Kumar: And then… You can run it.
455 00:43:35.300 ⇒ 00:43:37.570 Awaish Kumar: And there’s a button to run and stop.
456 00:43:38.120 ⇒ 00:43:44.100 Awaish Kumar: The execution, and we can see errors, if there are any.
457 00:43:44.500 ⇒ 00:43:51.590 Awaish Kumar: And also, if it runs successfully, you can basically, at the down, you can see the the results set.
458 00:43:51.800 ⇒ 00:43:57.799 Awaish Kumar: At the bottom of it, and then, basically, you can also push it from here. Once we made some changes.
459 00:43:58.090 ⇒ 00:44:02.019 Awaish Kumar: If you go from… into the model and push to dbt repo.
460 00:44:02.480 ⇒ 00:44:05.730 Awaish Kumar: And basically, it will just create a branch.
461 00:44:06.100 ⇒ 00:44:14.699 Awaish Kumar: in the connected GitHub repository, and whatever changes are made, they will be available there, and we can merge it if… review it, merge it, if needed.
462 00:44:18.850 ⇒ 00:44:26.610 Awaish Kumar: So, yeah, that was basically it, how we can use it, connect it, connect it with the database, and then we saw how we can,
463 00:44:27.250 ⇒ 00:44:29.340 Awaish Kumar: Nick, basically.
464 00:44:29.550 ⇒ 00:44:36.210 Awaish Kumar: access… how to use it as an IDE to make the… to do the development on top of it.
465 00:44:36.410 ⇒ 00:44:42.270 Awaish Kumar: And now we can maybe go back, to the…
466 00:44:43.740 ⇒ 00:44:47.790 Awaish Kumar: the homepage, and then from here, we can select a new Brainford snowflake.
467 00:44:48.120 ⇒ 00:44:55.280 Awaish Kumar: And you can see here… I… I enter in an explore mode. When you click on this, this basically
468 00:44:56.440 ⇒ 00:45:06.779 Awaish Kumar: Gives us the… Access to our, like, the tables, database tables, schemas, And I can basically
469 00:45:06.900 ⇒ 00:45:16.749 Awaish Kumar: create a query, like, whatever I want to access, I can write a query and save it as a query view, and then basically I can build the charts with just one click.
470 00:45:16.900 ⇒ 00:45:22.110 Awaish Kumar: And for that, I will just go back to the one which we…
471 00:45:23.630 ⇒ 00:45:27.070 Awaish Kumar: we are working on, so I don’t have to rebuild it.
472 00:45:30.600 ⇒ 00:45:33.300 Awaish Kumar: Okay, we can get it in the workbook.
473 00:45:38.060 ⇒ 00:45:41.320 Awaish Kumar: Yeah, so this is basically kind of,
474 00:45:42.250 ⇒ 00:45:48.059 Awaish Kumar: What you can do here is, like, when I was mentioning that we can basically, on a one-click, create a…
475 00:45:48.180 ⇒ 00:45:50.259 Awaish Kumar: Chart is basically that…
476 00:45:50.540 ⇒ 00:46:02.589 Awaish Kumar: using table… one of the DVD model, I wrote a query, like, select everything from, like, start from this table, and then I created a query view, which you can see it here.
477 00:46:02.790 ⇒ 00:46:11.220 Awaish Kumar: And from that view, you can just click the columns you need to be in your visualization or in your chart. For example, I want to see monthly…
478 00:46:11.670 ⇒ 00:46:15.650 Awaish Kumar: Points, like, how many times we spend each month.
479 00:46:15.960 ⇒ 00:46:20.810 Awaish Kumar: Like, in terms of whatever…
480 00:46:21.020 ⇒ 00:46:29.449 Awaish Kumar: According to, like, what we have estimated in linear. So we can see, like, how many points we completed across all the clients.
481 00:46:29.560 ⇒ 00:46:30.970 Awaish Kumar: In a month.
482 00:46:31.190 ⇒ 00:46:35.829 Awaish Kumar: And if you want to visualize it, you can just click on the top, you can just click on Chart.
483 00:46:41.580 ⇒ 00:46:42.590 Awaish Kumar: Oh, okay.
484 00:46:50.010 ⇒ 00:46:54.030 Uttam Kumaran: Google down on the right, yeah, you’ll see, you can just drag.
485 00:46:54.190 ⇒ 00:46:55.010 Uttam Kumaran: Yeah.
486 00:46:55.010 ⇒ 00:47:05.959 Awaish Kumar: Yeah, you can just click on, basically, what type of chart do you need? So, if we click on the bar chart, it will… it will look like this, or a line chart.
487 00:47:06.210 ⇒ 00:47:08.850 Awaish Kumar: It can be like this, and…
488 00:47:09.110 ⇒ 00:47:14.480 Awaish Kumar: Similarly, like, depends on the use case, we can click on, basically.
489 00:47:18.770 ⇒ 00:47:22.110 Awaish Kumar: charts needed, like, for our use case.
490 00:47:23.040 ⇒ 00:47:28.440 Awaish Kumar: And if you see, like, okay, I want to include more… more things here, or…
491 00:47:28.790 ⇒ 00:47:30.960 Awaish Kumar: Like, just go back to results.
492 00:47:31.560 ⇒ 00:47:35.930 Awaish Kumar: And you can include, like, if I want to see it by the team.
493 00:47:36.530 ⇒ 00:47:41.160 Awaish Kumar: I can click on a team members, and basically go back to charts.
494 00:47:41.720 ⇒ 00:47:49.980 Awaish Kumar: And now, this, like, for the three columns, I think it… we might have to select some… something like that, like…
495 00:47:52.960 ⇒ 00:47:56.519 Awaish Kumar: Which can basically… maybe give us…
496 00:47:56.630 ⇒ 00:48:02.300 Awaish Kumar: Some better view of how many points we’ve worked in a month for each client.
497 00:48:05.230 ⇒ 00:48:12.849 Awaish Kumar: Once you are done with exploration, you can save it, and include it in dashboard if you want to, like, what
498 00:48:13.340 ⇒ 00:48:15.409 Awaish Kumar: Dashboard at the picture to gold.
499 00:48:15.950 ⇒ 00:48:17.870 Awaish Kumar: And then you can publish it.
500 00:48:18.140 ⇒ 00:48:21.230 Awaish Kumar: If you want to publish it for everyone in the…
501 00:48:22.170 ⇒ 00:48:24.240 Awaish Kumar: In the team, or in the organization.
502 00:48:25.830 ⇒ 00:48:28.830 Awaish Kumar: Yeah. Can I ask a dumb question?
503 00:48:29.300 ⇒ 00:48:30.320 Awaish Kumar: Yeah, sure.
504 00:48:30.530 ⇒ 00:48:42.949 Justin Breshears: I understand, like, Snowflake is the data warehouse, this is kind of the dashboard reporting tool, visualization tool that pulls from it, but what is DBT, and how does that relate?
505 00:48:45.100 ⇒ 00:48:45.830 Awaish Kumar: Okay.
506 00:48:46.240 ⇒ 00:48:52.010 Awaish Kumar: So, like, I mentioned a few things, I will just… Give an overview of,
507 00:48:52.580 ⇒ 00:48:58.920 Awaish Kumar: these things to make a connection. So we have a database where our data lives.
508 00:48:59.610 ⇒ 00:49:04.039 Awaish Kumar: Then we have, like,
509 00:49:04.550 ⇒ 00:49:08.469 Awaish Kumar: Analytical tool where we can make visualizations.
510 00:49:08.680 ⇒ 00:49:14.859 Awaish Kumar: But the problem is, However, data comes in our database from raw sources.
511 00:49:14.980 ⇒ 00:49:32.599 Awaish Kumar: is not usable, or not in a form, that can be… like, that can be easily, we can use for visualizations, right? We might have to transform it, we might have to join from multiple tables, like the query I showed, for example, we have issues in one table.
512 00:49:32.650 ⇒ 00:49:36.169 Awaish Kumar: I have team members in another table, I have
513 00:49:36.300 ⇒ 00:49:44.430 Awaish Kumar: maybe project names in the third table, so I have to join them all together to get their names, like…
514 00:49:44.830 ⇒ 00:49:56.760 Awaish Kumar: in the first table, I might have just team ID, and that’s not useful. Like, nobody remembers that, so I just want to get the team name, so I have to join it. And that joins, or… and maybe if you saw in the Kerry.
515 00:49:56.870 ⇒ 00:50:08.680 Awaish Kumar: There are some case statements where I’m standardizing the names of the team members, things like that. So this is called transformation, and this transformation happens,
516 00:50:08.890 ⇒ 00:50:10.450 Awaish Kumar: Using dbt.
517 00:50:11.620 ⇒ 00:50:13.130 Justin Breshears: Got it, that makes sense.
518 00:50:13.510 ⇒ 00:50:31.929 Awaish Kumar: I can do it, like, I can write a query to transform it, but then writing a query, like, this was a big, big problem, like, before dbt, that everybody writes queries, and whenever you want to reuse it, or reuse some chunks of it, and…
519 00:50:32.010 ⇒ 00:50:50.590 Awaish Kumar: I want to access it again. So, like, maintaining that project with only the queries is really tough. So, dbt is a tool which came up with the idea of versioning and standardizing how we write SQL, basically. So…
520 00:50:50.660 ⇒ 00:51:01.669 Awaish Kumar: Like, at the end of it, I’m just writing SQL, but using dbt, it provides me to write it in a modular, reusable way, so now I can write this transformation using dbt.
521 00:51:01.750 ⇒ 00:51:07.479 Awaish Kumar: But then, whatever code I write, how can I connect? Like, if it lives on my computer.
522 00:51:07.760 ⇒ 00:51:19.200 Awaish Kumar: Omni doesn’t, like, Omni can’t use it, like, can’t access it, so that’s why we push it to the GitHub, which is a version control, and connect it to the Omni through
523 00:51:19.390 ⇒ 00:51:23.890 Awaish Kumar: a private, like, private public key, SSH key.
524 00:51:26.940 ⇒ 00:51:28.670 Justin Breshears: Yeah, that makes sense. Thank you.
525 00:51:28.670 ⇒ 00:51:35.820 Uttam Kumaran: I wish… I know we’re coming up on time, so I just want to maybe just transition. I can… I can share, and then I just want to kind of get through the…
526 00:51:35.820 ⇒ 00:51:42.490 Awaish Kumar: Sure, so we are done with our live share, so we can just go back to Exec updates.
527 00:51:42.930 ⇒ 00:51:46.080 Uttam Kumaran: Yeah, if I can share, I’ll… yeah, I’ll just take it, and then…
528 00:51:46.370 ⇒ 00:51:49.919 Uttam Kumaran: Just run through… so give me one second.
529 00:51:52.050 ⇒ 00:51:53.160 Uttam Kumaran: Okay.
530 00:51:55.340 ⇒ 00:52:03.710 Uttam Kumaran: Cool. Awesome. So I wanted to… Just highlight a couple of…
531 00:52:04.250 ⇒ 00:52:08.209 Uttam Kumaran: High-level things as we’re going into Q4.
532 00:52:08.490 ⇒ 00:52:14.400 Uttam Kumaran: This was… I feel, just like every quarter around here, I feel like this was a pretty…
533 00:52:14.570 ⇒ 00:52:20.470 Uttam Kumaran: transformative order. We’ve made a significant amount of changes. We’ve accelerated
534 00:52:20.600 ⇒ 00:52:39.639 Uttam Kumaran: how fast we make decisions, and, you know, we’ve achieved quite a bit. I think if you were to think back on where we were in July, it seems like a year ago, and I’m, you know, I’m really, really kind of proud of all the work we’ve done. I feel like
535 00:52:39.910 ⇒ 00:52:44.310 Uttam Kumaran: I’m usually not someone who… it, like, kind of…
536 00:52:44.410 ⇒ 00:53:02.859 Uttam Kumaran: celebrates the small wins, but I feel like we’ve made actually quite a bit of big wins this quarter, and I’m starting to see the benefits, even in my own time, and sort of how fast we’re accelerating. So, today I’ll just be covering some stuff from Q3, looking at Q4,
537 00:53:02.950 ⇒ 00:53:06.699 Uttam Kumaran: And then just a couple of other items.
538 00:53:06.760 ⇒ 00:53:12.669 Uttam Kumaran: So please stop me if you have any questions. So, kind of a couple of big wins I want to highlight from this list.
539 00:53:12.680 ⇒ 00:53:31.470 Uttam Kumaran: is really our ability to actually now have great weekly processes where we isolate problems in the company, and we move them forward. So, we’re using OKRs, we have our Monday meeting schedule. One of the things that we tell our clients is exactly what we should tell ourselves, is how do we make more decisions?
540 00:53:31.470 ⇒ 00:53:39.789 Uttam Kumaran: and more accurate decisions. A lot of that starts from, like, where is this ship headed? And the theme of this quarter is going to be, are we…
541 00:53:39.790 ⇒ 00:53:58.710 Uttam Kumaran: making progress towards there every day in a very measurable fashion. So all of these were really, you know, important for us to kind of make this next leap. But I also want to shout out, like, a couple different teams, so I want to shout out Robert and the whole sales team for, you know, achieving
542 00:53:59.400 ⇒ 00:54:05.770 Uttam Kumaran: a huge revenue milestone, and we’re still signing more clients. I want to,
543 00:54:05.870 ⇒ 00:54:12.670 Uttam Kumaran: Shout out marketing team for all the support to kind of achieve a lot of that revenue and continue to smooth out
544 00:54:12.770 ⇒ 00:54:18.460 Uttam Kumaran: that clients actually are very, very impressed with what we do, and they understand how we do it.
545 00:54:18.490 ⇒ 00:54:33.710 Uttam Kumaran: I want to shout out to, Rico, Amber, you know, Awash, a lot of the folks that have been leading Monday meetings, and I know it’s painful, we somehow not… sometimes we’re not 100% prepared, but just the fact that we’re doing them, I think it’s really, really important.
546 00:54:33.850 ⇒ 00:54:43.750 Uttam Kumaran: You know, I’m also really happy with Ryan and folks on content. We’ve done a lot to improve, you know, our content on LinkedIn.
547 00:54:43.750 ⇒ 00:55:03.710 Uttam Kumaran: And, you know, traffic to the website was, frankly, at zero, like, more than a year ago, and we are getting, you know, hundreds of people, sometimes per day, and tons of impressions on social and on search. So I’m really, really, you know, thankful for that. And then the last thing for everybody on delivery, I think.
548 00:55:03.810 ⇒ 00:55:22.659 Uttam Kumaran: You know, you may have noticed that there are people that, you know, came and went in the company, and really what I want to share about that is all we did is double down on the best people. You know, whenever you meet with me or you meet with Robert, all we’re trying to do is see how we can continue to give people more
549 00:55:22.760 ⇒ 00:55:37.889 Uttam Kumaran: leadership and more responsibility, and I think we did a good job at aligning our way we deliver work with the best people, and I’m really, really, you know, proud to work with this crew every day and start to push things, so…
550 00:55:37.920 ⇒ 00:55:45.020 Uttam Kumaran: that’s, like, what… that’s what’s motivating me to, you know, to keep… to keep going. So, looking at Q4,
551 00:55:46.930 ⇒ 00:56:06.310 Uttam Kumaran: I wanted to present today a little bit on OKRs, talk a little bit about measurement strategy, but then overall, like, this is our company goals. I think one, of course, is expand revenue. We want to do that sustainably and still hit margins, and this is the first quarter where we actually went through a budget-setting process, and I want to shout out Amber for that, like.
552 00:56:06.700 ⇒ 00:56:23.539 Uttam Kumaran: very, very crucial work that came together, you know, in the last two weeks, and, you know, is a completely new area for us. It’s work between finance, delivery, me, sales, and it’s gonna be the first quarter where
553 00:56:23.840 ⇒ 00:56:39.999 Uttam Kumaran: My job is to now make sure we adhere to those budget targets, and that’s great, because I have something I can measure towards. So I’ll just kind of bounce around a couple things. So in terms of OKRs, everybody in the company should have access to this.
554 00:56:40.560 ⇒ 00:56:44.509 Uttam Kumaran: If you don’t, search for it, but this is…
555 00:56:44.520 ⇒ 00:57:01.150 Uttam Kumaran: you know, something that I look at every day, which is our management operations spreadsheet, and the highlight today I want to talk about is just OKRs. I encourage you to go look at, you know, the team you’re on, and the OKRs for your team, but really the people that are on this list.
556 00:57:01.150 ⇒ 00:57:09.720 Uttam Kumaran: will be tasked to achieve these, throughout the quarter. And really, I would say to highlight two areas.
557 00:57:09.780 ⇒ 00:57:14.749 Uttam Kumaran: the spotlight this quarter is going to be on delivery.
558 00:57:15.100 ⇒ 00:57:26.509 Uttam Kumaran: And that’s not… that doesn’t mean this is all unjust in. What this means is that this is the next area of the company where there is so much opportunity, and we have the right pieces now to achieve.
559 00:57:26.560 ⇒ 00:57:39.010 Uttam Kumaran: All of these are measurable KPIs, and what you’ll see over the next few weeks is we’ll develop internal reporting to make sure that we’re achieving this on a weekly basis. You know, of course.
560 00:57:39.010 ⇒ 00:57:47.399 Uttam Kumaran: I don’t want to minimize the work that we’re doing on marketing or sales, but I would say that our ability to go sell bigger
561 00:57:47.430 ⇒ 00:58:04.669 Uttam Kumaran: we need to make sure we can service the revenue within budget, and so that’s gonna be where I invest a lot of time. And then also, there’s a lot of things within recruiting and finance and AI that we still want to do, and one of the conversations I had with Sam is sort of, like, what is the goal of the internal AI team? And really.
562 00:58:04.760 ⇒ 00:58:19.619 Uttam Kumaran: as part of supporting our delivery goals, the AI team’s task is going to be to make sure that we… that delivery can achieve their budget targets, and AI is a tool for them to make that happen. So, you know, typical consultancies, like
563 00:58:19.880 ⇒ 00:58:28.899 Uttam Kumaran: at our size or bigger, don’t, one, don’t have OKRs, so I’ll just put that. Many do not set company goals on a quarterly basis.
564 00:58:29.050 ⇒ 00:58:39.060 Uttam Kumaran: Let alone measure them weekly. Second, very few of them have, you know, the buy-in from the leadership and support from external teams.
565 00:58:39.280 ⇒ 00:58:51.190 Uttam Kumaran: And then lastly, very little of them have the opportunity of looking every week to see how AI can impact delivery. And it’s something that I think we’re very lucky to have.
566 00:58:51.190 ⇒ 00:59:00.980 Uttam Kumaran: But again, we are competing with the biggest consultancies with way more resources than us, so it’s really paramount that we use everything at our disposal to achieve these. So.
567 00:59:01.020 ⇒ 00:59:07.659 Uttam Kumaran: this is everything we’re on target on to do this quarter. You’ll… I hope that, you know, by the end of the quarter.
568 00:59:07.660 ⇒ 00:59:23.140 Uttam Kumaran: you are annoyed by how often we talk through these, but this is gonna be our scoreboard, you know, for the next 3 months. So, if you have a chance today or, you know, as we go throughout the weeks, please just keep an eye on this, and
569 00:59:23.150 ⇒ 00:59:26.420 Uttam Kumaran: how your team is doing, and we’ll be talking about this on Mondays.
570 00:59:26.510 ⇒ 00:59:32.309 Uttam Kumaran: Another thing I also wanted to, highlight,
571 00:59:32.460 ⇒ 00:59:39.920 Uttam Kumaran: is, sort of going back to the previous thing, I don’t know if many people have seen this, but we’re working on a bit of an onboarding deck.
572 00:59:39.990 ⇒ 00:59:52.870 Uttam Kumaran: You know, as many of you have known, you all onboarded onto Brainforge. It is a difficult thing, and we are working on making it better. And one of the things I wanted to talk about just briefly was…
573 00:59:52.870 ⇒ 01:00:04.889 Uttam Kumaran: like, our, values, and this is something that I used to present on every Friday, and I think I’ll continue to do that, you know, in the coming weeks, but really, these are our three values that we set.
574 01:00:04.890 ⇒ 01:00:11.690 Uttam Kumaran: You know, early in the company. And I think they… you should start to see…
575 01:00:11.990 ⇒ 01:00:24.139 Uttam Kumaran: this in the way we work with each other, in the way we work with clients, and the way we work with any external or internal partners. And I think we’ve done a really good job at one or two. I think we’re still trying to find ways to do three.
576 01:00:24.290 ⇒ 01:00:40.619 Uttam Kumaran: But this is… I would say, this is something that I’ll continue to start to present. It’s a great reminder today for me to continue to present this and bring this up as often as possible. I want to thank RICO for setting this whole thing up. This is really, really nice. Lots of bridge information here.
577 01:00:40.770 ⇒ 01:00:56.250 Uttam Kumaran: And then the, the other thing I wanted to just talk about was October plans. So, we want to make sure that we keep pressure high on sales going into winter. As I mentioned, we’re going to measure everything and really establish great delivery standards.
578 01:00:56.460 ⇒ 01:01:02.220 Uttam Kumaran: And then on the, sort of broader side, one, we’re going to continue to…
579 01:01:03.000 ⇒ 01:01:14.180 Uttam Kumaran: look to emphasize our partner program, and Holly has actually come on to help our partnerships team do this, and then we’re also going to continue to make strides on, you know, improving our recruiting process.
580 01:01:14.180 ⇒ 01:01:30.650 Uttam Kumaran: You know, we don’t have full-time recruiting staff, and so one of the things for us to keep the bar very, very high, and as I’ve told many people, our job is to recruit people that are smarter than us. And you want to recruit people that you would say, wow, I can learn something from this person, they are a bar raiser.
581 01:01:30.720 ⇒ 01:01:41.010 Uttam Kumaran: if we’re not bringing people on that make us feel like we have room to grow, we’re not gonna grow. And so, it’s something that we want to make sure our process enables us to do.
582 01:01:41.490 ⇒ 01:01:54.219 Uttam Kumaran: And then the last thing I just want to, sort of share is I read this great article, this week on good work politics, and I just wanted to walk through a couple of items I read there.
583 01:01:54.220 ⇒ 01:02:03.260 Uttam Kumaran: So one is building relationships before you need them. I think one thing that’s very important in a company like ours that’s remote and async.
584 01:02:03.290 ⇒ 01:02:12.470 Uttam Kumaran: And we have few touch points with each other, is to really try to build relationships with your team, with your client, before you need them.
585 01:02:12.500 ⇒ 01:02:27.910 Uttam Kumaran: And need can come in many different ways, but it’s always tough to ask a favor from a stranger than it is to ask someone from a friend or someone you have rapport with. So this is something I would encourage you to think about going to this quarter, is, you know, just grab virtual coffee or
586 01:02:27.910 ⇒ 01:02:33.440 Uttam Kumaran: find a way to build rapport with your team. The second thing is understanding incentives.
587 01:02:33.450 ⇒ 01:02:40.470 Uttam Kumaran: when working with clients, I think it’s really important to understand what’s in it for them, especially the individual stakeholders that we meet with.
588 01:02:40.540 ⇒ 01:02:48.260 Uttam Kumaran: Some people may be really impressed with our… the data architecture, some people just want to go into
589 01:02:48.340 ⇒ 01:03:00.470 Uttam Kumaran: Christmas where all their data isn’t blowing up, you know? And you need to understand what… who you’re working for and what they really care about, and frame our solutions for them.
590 01:03:01.280 ⇒ 01:03:06.519 Uttam Kumaran: Last thing is… the third thing is managing up effectively. I think this is something that Robert and I talk a lot about, but…
591 01:03:07.050 ⇒ 01:03:23.860 Uttam Kumaran: We are building a great team of player coaches. You may hear this… you may have heard this kind of concept before, and that is the team that we want to continue to leverage. Everybody here is both doing work and hopefully teaching others and coaching, and so I want to make sure that
592 01:03:23.870 ⇒ 01:03:27.070 Uttam Kumaran: You… you,
593 01:03:27.280 ⇒ 01:03:38.229 Uttam Kumaran: You think about managing up and managing down, effectively, and you understand that some people may not be able to read your mind, and so helping everybody around you make better decisions
594 01:03:38.230 ⇒ 01:03:48.719 Uttam Kumaran: And taking ownership of tasks is very important. And the last thing is being visible. Again, like, we’re not in an office. All we have is Slack, Zoom, and so if you’re doing great work.
595 01:03:48.740 ⇒ 01:04:08.089 Uttam Kumaran: Please, please, please share it. Even if you’re struggling, please share it. I think it’s important that we all communicate often. This is something that we’re gonna measure, and I’m gonna continue to promote. But I think we each hold each other to pretty high standards here, but because of that, we often don’t compromise, and we…
596 01:04:08.090 ⇒ 01:04:21.720 Uttam Kumaran: don’t present on things that we’ve done great, especially for clients, and that’s something that we want to continue to emphasize, that we want to make sure all of our work is very visible. So, just wanted to highlight those things, and I think I’m…
597 01:04:21.790 ⇒ 01:04:27.770 Uttam Kumaran: I think you’ve seen flavors of this, but I read this article this week, and I felt like it would really, really,
598 01:04:27.860 ⇒ 01:04:29.769 Uttam Kumaran: You know, wrapped this up well.
599 01:04:30.290 ⇒ 01:04:37.249 Uttam Kumaran: Yeah, I know we’re a little bit late on time, but maybe I’ll take… if there’s any… if there’s one or two questions I can take, I’m happy to,
600 01:04:37.930 ⇒ 01:04:40.050 Uttam Kumaran: answer those.
601 01:04:45.310 ⇒ 01:04:56.400 Uttam Kumaran: But if not, I think the biggest thing I would, again, emphasize is please take a look at the OKRs. We’re gonna lock these in today, and then starting Monday, start to report out against these. I’m gonna…
602 01:04:56.760 ⇒ 01:04:59.330 Uttam Kumaran: As you saw in one of the slides, I’m not…
603 01:04:59.500 ⇒ 01:05:18.609 Uttam Kumaran: I’m not on quite… on a lot of engineering work for clients anymore, so my time now moves to engineering the company, so I’ll be working a lot on reporting, so setting up all of our dashboards in Omni so that we can run our Monday meetings effectively. I’ll continue to help, you know, sell, and then we’ll be going to recruit the next
604 01:05:18.650 ⇒ 01:05:24.539 Uttam Kumaran: You know, best talent to come onto our team, so that’s… that’s, where my focus is going.
605 01:05:27.080 ⇒ 01:05:43.600 Uttam Kumaran: The last thing I want to say also, and I think Robert and I had a good chat about this, is we’re going into, you know, holidays, so definitely spend time with family and don’t burn out. We keep the pace really, really high here, but I think it’s a good time to just check in with yourself and
606 01:05:43.710 ⇒ 01:06:00.279 Uttam Kumaran: you know, sometimes it’s hard in a company that’s moving this fast to think about slowing down, but for as hard as we work, try to relax just as hard, and then, you know, hope everybody gets some nice time to spend with family going into Christmas and all the holidays, so…
607 01:06:02.040 ⇒ 01:06:02.990 Uttam Kumaran: Awesome.
608 01:06:03.220 ⇒ 01:06:04.090 Uttam Kumaran: Okay.
609 01:06:04.320 ⇒ 01:06:06.029 Uttam Kumaran: Thanks, everyone. Appreciate it.
610 01:06:08.270 ⇒ 01:06:08.970 Awaish Kumar: Okay.
611 01:06:09.360 ⇒ 01:06:10.310 Uttam Kumaran: Thanks, Awash.
612 01:06:10.910 ⇒ 01:06:11.790 Demilade Agboola: Thank you.
613 01:06:12.990 ⇒ 01:06:14.300 Uttam Kumaran: Talk to everyone soon. Bye.
614 01:06:14.300 ⇒ 01:06:15.000 Rico Rejoso: Cheers.