Meeting Title: Friday Brainforge Demos & Retro Date: 2025-05-30 Meeting participants: Awaish Kumar, Annie Yu, Caio Velasco, Mustafa Raja, Amber Lin, Ryan Brosas, Uttam Kumaran, Luke Daque, Demilade Agboola, Casie Aviles
WEBVTT
1 00:05:35.050 ⇒ 00:05:35.740 Ryan Brosas: Problem
2 00:05:39.300 ⇒ 00:05:40.359 Ryan Brosas: at all.
3 00:05:45.760 ⇒ 00:05:46.450 Ryan Brosas: Hey?
4 00:05:47.300 ⇒ 00:05:48.210 Ryan Brosas: Help!
5 00:05:48.690 ⇒ 00:05:49.520 Ryan Brosas: Oh.
6 00:05:51.580 ⇒ 00:05:56.490 Demilade Agboola: Hello, welcome.
7 00:05:56.940 ⇒ 00:06:03.879 Demilade Agboola: So I’m host today. So I’m just giving a bit of time for people to join. And then we can start.
8 00:06:05.480 ⇒ 00:06:08.419 Demilade Agboola: It’s just a couple more minutes. Nothing, too. Nothing too long.
9 00:06:18.670 ⇒ 00:06:23.360 Demilade Agboola: Or actually, since we’re doing the we’re doing the icebreaker.
10 00:06:23.670 ⇒ 00:06:26.210 Demilade Agboola: I think we could potentially start.
11 00:06:26.950 ⇒ 00:06:28.969 Demilade Agboola: Okay, I just joined.
12 00:06:31.740 ⇒ 00:06:32.490 Demilade Agboola: Yeah, hold on
13 00:06:47.010 ⇒ 00:06:48.360 Demilade Agboola: alright. Can you see my screen.
14 00:06:50.330 ⇒ 00:06:51.140 Awaish Kumar: Yep.
15 00:06:51.680 ⇒ 00:06:55.390 Demilade Agboola: Alright great. So for today’s icebreaker.
16 00:07:00.130 ⇒ 00:07:08.019 Demilade Agboola: I thought of this yesterday, and I thought it’d be a great question. Since we live in different parts of the world, or from different parts of the world.
17 00:07:08.250 ⇒ 00:07:12.699 Demilade Agboola: So if someone came to visit you where you live or where you’re from.
18 00:07:13.210 ⇒ 00:07:22.169 Demilade Agboola: what’s 1 thing that they must experience so it could be, you know, a food. It could be a place, it could be an activity. And so
19 00:07:22.980 ⇒ 00:07:35.839 Demilade Agboola: an example will be me. So I’m Nigerian, but I live in Malta, so I could either say something they have to do in Malta, or something they have to do in like Nigeria, but we should try and just keep our answers to like 30 seconds. So we’re not, you know.
20 00:07:35.970 ⇒ 00:07:42.409 Demilade Agboola: not too in depth, but just enough so that we have an idea of different fun. Things people can do across the world.
21 00:07:42.792 ⇒ 00:07:43.879 Demilade Agboola: So I’ll start off
22 00:07:44.100 ⇒ 00:07:55.589 Demilade Agboola: with. So if you were to visit Nigeria. One of the things I recommend you do is this is, have like a Nigerian wedding, or like attend Nigerian wedding. Nigerian weddings are like parties, for like
23 00:07:55.910 ⇒ 00:08:13.560 Demilade Agboola: a thousand 2,000 people, it’s a lot of food, a lot of drinks. It’s actually really fun. Sometimes they go into the mornings, and it’s it’s it’s a fun thing to do. So I don’t know who wants to go next. But we could just pass around and just kind of see different fun things people can come up with.
24 00:08:14.890 ⇒ 00:08:18.089 Amber Lin: Yeah, I I say, you call on people.
25 00:08:18.490 ⇒ 00:08:21.720 Demilade Agboola: Okay. Since you spoke, I’ll I’ll pick amber. In that case.
26 00:08:23.597 ⇒ 00:08:30.709 Amber Lin: Okay, wait I where I am in New York right now, so
27 00:08:30.830 ⇒ 00:08:35.080 Amber Lin: I can’t tell you about anything here. I just got here an hour ago.
28 00:08:35.510 ⇒ 00:08:42.350 Amber Lin: and let me see, usually I’m in la, so
29 00:08:43.520 ⇒ 00:08:46.909 Amber Lin: what’s something that you should experience? If you come to la
30 00:08:50.080 ⇒ 00:08:53.149 Amber Lin: I would say you have to go to one of those taco trucks
31 00:08:53.370 ⇒ 00:09:00.810 Amber Lin: it depends on depends on which one that you want to go to, or some of them are very mess. Some of them are pretty good.
32 00:09:01.000 ⇒ 00:09:09.850 Amber Lin: and then aw, I haven’t done too many touristy things in La to be very, very honest.
33 00:09:10.490 ⇒ 00:09:14.810 Amber Lin: And huh! Oh.
34 00:09:15.780 ⇒ 00:09:27.650 Amber Lin: like maybe go hike up to the Hollywood sign. That’s a very touristy thing to do. Go to the beach and take a surfing lesson. I mean, that’s what we did when
35 00:09:28.000 ⇒ 00:09:32.170 Amber Lin: a few of us came to la together. That’s really fun.
36 00:09:33.310 ⇒ 00:09:37.956 Amber Lin: And yeah, that’s it.
37 00:09:38.630 ⇒ 00:09:41.849 Caio Velasco: You can also to see the spiders in Echo Park.
38 00:09:42.375 ⇒ 00:09:50.249 Amber Lin: Oh, true! I’ve never seen the spiders at Echo Park to be very honest.
39 00:09:52.125 ⇒ 00:09:54.600 Amber Lin: Does it bring.
40 00:09:54.600 ⇒ 00:09:56.470 Demilade Agboola: Okay, Amber, who do you want to pass to.
41 00:09:56.470 ⇒ 00:09:57.090 Amber Lin: So.
42 00:09:57.280 ⇒ 00:10:04.390 Amber Lin: Oh, oh, gosh! I’m calling on people! The 1st one that came up is Mustafa.
43 00:10:07.160 ⇒ 00:10:08.410 Mustafa Raja: Hey! How are you?
44 00:10:08.710 ⇒ 00:10:10.100 Amber Lin: Hi.
45 00:10:10.100 ⇒ 00:10:24.990 Mustafa Raja: Yeah. So so I’m from Pakistan. So if you were to come and visit me I’d suggest you visit the northern side of Pakistan. It’s full of mountains, peace, and it’s good green. So I love it.
46 00:10:24.990 ⇒ 00:10:25.610 Amber Lin: Hmm.
47 00:10:25.790 ⇒ 00:10:28.079 Mustafa Raja: And I think you all will love it too.
48 00:10:28.563 ⇒ 00:10:30.980 Amber Lin: Are you all outdoors? Person.
49 00:10:31.913 ⇒ 00:10:33.019 Mustafa Raja: Not mostly.
50 00:10:33.460 ⇒ 00:10:33.920 Amber Lin: Excited.
51 00:10:34.312 ⇒ 00:10:39.019 Mustafa Raja: But if I have friends planning something, I go with them.
52 00:10:39.020 ⇒ 00:10:40.250 Amber Lin: Way more than something.
53 00:10:43.246 ⇒ 00:10:51.649 Uttam Kumaran: For me. I don’t know. I think we I gave Amber all when she visited here all the things that we usually do, but we.
54 00:10:51.650 ⇒ 00:10:53.389 Uttam Kumaran: We usually go to the park.
55 00:10:53.390 ⇒ 00:10:54.259 Amber Lin: I’ll let him.
56 00:10:54.260 ⇒ 00:10:57.899 Uttam Kumaran: Or we take people food like dinner
57 00:10:58.020 ⇒ 00:11:10.179 Uttam Kumaran: somewhere. Nice, that’s like that’s like my favorite thing, either like pizza, or like Italian food or tapas or a good glass of wine.
58 00:11:10.500 ⇒ 00:11:26.679 Uttam Kumaran: something food and like relaxing. That’s like my favorite. I’m interested. Yeah, I’m interested in anyone in the in the Philippines, like Casey or Ryan like, what do you guys do.
59 00:11:26.680 ⇒ 00:11:27.750 Amber Lin: Yeah. Yeah. Oh.
60 00:11:28.040 ⇒ 00:11:29.489 Uttam Kumaran: When people come there.
61 00:11:32.730 ⇒ 00:11:35.310 Uttam Kumaran: Yes.
62 00:11:35.640 ⇒ 00:11:36.280 Casie Aviles: So.
63 00:11:36.280 ⇒ 00:11:37.146 Demilade Agboola: Casey, yeah.
64 00:11:37.580 ⇒ 00:11:45.560 Casie Aviles: I I usually I don’t. I’m not a very outdoors person, but I usually just go to a friend’s place. But I guess something
65 00:11:45.730 ⇒ 00:11:53.749 Casie Aviles: they must. People must experience. I? Well, people have been saying good things about our beaches. So I guess.
66 00:11:54.390 ⇒ 00:12:03.409 Casie Aviles: like, somewhere in Palawan or yeah. But I guess some parts are very are tourist traps already. But
67 00:12:03.780 ⇒ 00:12:05.810 Casie Aviles: yeah, the the beaches are great.
68 00:12:09.000 ⇒ 00:12:11.320 Amber Lin: What’s the weather? Currently.
69 00:12:12.060 ⇒ 00:12:15.139 Casie Aviles: Oh, right now it’s really hot. It’s just.
70 00:12:15.140 ⇒ 00:12:16.350 Amber Lin: Oh dear!
71 00:12:16.610 ⇒ 00:12:20.710 Casie Aviles: 2 kinds of weathers like, yeah, it’s hot and raining.
72 00:12:21.440 ⇒ 00:12:22.599 Amber Lin: Oh, really.
73 00:12:23.490 ⇒ 00:12:32.570 Amber Lin: it’s right now. It’s it’s like really nice weather here in New York that I’m experiencing. I would guess that it’s around like
74 00:12:32.980 ⇒ 00:12:36.770 Amber Lin: 23°C.
75 00:12:36.880 ⇒ 00:12:40.090 Amber Lin: 22. I’m not too far off.
76 00:12:40.220 ⇒ 00:12:42.929 Amber Lin: which I don’t know how much that is in Fahrenheit.
77 00:12:43.300 ⇒ 00:12:48.790 Amber Lin: So you oh, 70 for you us folks pretty nice weather.
78 00:12:51.720 ⇒ 00:12:56.150 Demilade Agboola: Nice can we do hire.
79 00:12:58.240 ⇒ 00:13:05.617 Caio Velasco: Yes, so well. I was born in, and I’m from Rio Rio Janeiro, and I think
80 00:13:06.210 ⇒ 00:13:15.070 Caio Velasco: if you go there you have to go for carnival. It’s just another experience. Very different, huge.
81 00:13:15.340 ⇒ 00:13:16.670 Caio Velasco: quite intense.
82 00:13:17.010 ⇒ 00:13:23.789 Caio Velasco: And yeah, I know we have that every year. So at some point you just get a bit tired of it.
83 00:13:24.286 ⇒ 00:13:31.149 Caio Velasco: But you have to experience that. It’s just so many people, and everyone is having fun.
84 00:13:31.880 ⇒ 00:13:39.180 Caio Velasco: We we can drink outside. I think you guys are not allowed in the Us. Or who is in the Us. I believe? Right?
85 00:13:39.743 ⇒ 00:13:43.980 Caio Velasco: So yeah, people drink outside. And there’s a lot of things happening.
86 00:13:44.427 ⇒ 00:13:46.859 Caio Velasco: You can learn to Samba a bit.
87 00:13:47.360 ⇒ 00:13:56.749 Caio Velasco: So yeah, that’s for sure. It’s it’s something that you should do. If you go to to Brazil, to Rio, especially other places, other States. They have super different things as well. But for Rio
88 00:13:56.900 ⇒ 00:13:58.210 Caio Velasco: that’s number one.
89 00:13:59.810 ⇒ 00:14:04.480 Demilade Agboola: Nice can we try, Ryan?
90 00:14:04.480 ⇒ 00:14:07.690 Uttam Kumaran: We’ve been drinking a lot of cai prenats.
91 00:14:08.230 ⇒ 00:14:09.500 Caio Velasco: Yes, exactly.
92 00:14:09.500 ⇒ 00:14:11.391 Uttam Kumaran: So many here in Austin.
93 00:14:13.480 ⇒ 00:14:13.950 Ryan Brosas: Oh, yeah.
94 00:14:14.340 ⇒ 00:14:14.760 Caio Velasco: All of.
95 00:14:14.760 ⇒ 00:14:26.379 Uttam Kumaran: When we come there, or whenever I think, or someone someone, you guys said, you may meet you guys, should you guys have Kyle, make you some like the best drink
96 00:14:26.540 ⇒ 00:14:27.490 Uttam Kumaran: ever.
97 00:14:28.160 ⇒ 00:14:37.010 Caio Velasco: The trick of kite is when when you cut the lime, because we use lime, the green ones is you have to take the middle off because it’s bitter.
98 00:14:37.280 ⇒ 00:14:38.139 Caio Velasco: That’s the trick.
99 00:14:38.140 ⇒ 00:14:40.960 Uttam Kumaran: Oh, really. Okay, okay, well.
100 00:14:40.960 ⇒ 00:14:42.030 Amber Lin: Oh, wow!
101 00:14:42.030 ⇒ 00:14:42.989 Uttam Kumaran: But they do a Zoom client.
102 00:14:42.990 ⇒ 00:14:46.329 Uttam Kumaran: This is like best drink ever guys very underrated
103 00:14:46.980 ⇒ 00:14:56.140 Uttam Kumaran: I was. I watched a lot of like Anthony Bourdain growing up, and he has an episode where he goes to Rio, and he drinks like a hundred of these, and that’s all he talks.
104 00:14:58.760 ⇒ 00:15:00.700 Caio Velasco: Yeah. Quite strong. Yeah.
105 00:15:01.120 ⇒ 00:15:02.170 Uttam Kumaran: Yeah.
106 00:15:05.300 ⇒ 00:15:13.519 Demilade Agboola: Okay. So, Ryan. And also kind of like, just keep on this like 30 to 45 seconds, so that you know, we can still keep on track.
107 00:15:13.820 ⇒ 00:15:23.900 Ryan Brosas: Yeah, I’m not really an an outdoor person. But well, yeah, I think, if I would invite someone.
108 00:15:24.080 ⇒ 00:15:31.830 Ryan Brosas: Yeah, I think pretty much any beach here in the Philippines, specifically in Palawan
109 00:15:32.100 ⇒ 00:15:41.893 Ryan Brosas: and food. I think my favorite one is like Sinigang. It’s really really good. And I think that’s really
110 00:15:43.080 ⇒ 00:15:43.880 Ryan Brosas: much. It.
111 00:15:46.410 ⇒ 00:15:53.019 Demilade Agboola: Nice. That sounds exciting. Sounds like if if there’s a Philippines hangout we have to get at the beach. That sounds really exciting.
112 00:15:53.598 ⇒ 00:15:56.309 Demilade Agboola: I think I’ll pass it to Hannah now.
113 00:16:06.850 ⇒ 00:16:07.250 Demilade Agboola: Okay.
114 00:16:07.250 ⇒ 00:16:07.990 Uttam Kumaran: Oh, my! Gosh!
115 00:16:10.727 ⇒ 00:16:11.860 Demilade Agboola: Know you’re muted.
116 00:16:13.080 ⇒ 00:16:16.360 Amber Lin: Hannah’s also on the road, I assume. So my
117 00:16:16.360 ⇒ 00:16:19.410 Amber Lin: be a little choppy Internet for her.
118 00:16:20.620 ⇒ 00:16:22.010 Demilade Agboola: Or you could do Annie. Then.
119 00:16:23.710 ⇒ 00:16:44.300 Annie Yu: Yeah, I live in Portland, and Portland is well known, for, like lots of waterfalls and roses. So. But whenever there’s a good friend of mine visiting. I like like to bring them to this like I called it a hidden gem. It’s like a small park where you can see like the kind of like
120 00:16:44.520 ⇒ 00:16:52.930 Annie Yu: what you would think Portland is like if you ever watch like Portlandia like you can see river and all the like.
121 00:16:53.230 ⇒ 00:17:02.739 Annie Yu: I guess factories like from from like that kind of viewpoint park. So yeah, I like to go picnicking there and then.
122 00:17:02.970 ⇒ 00:17:05.360 Annie Yu: We would just like play board games.
123 00:17:07.400 ⇒ 00:17:28.199 Annie Yu: have some wine. But I actually wanna like, shout out Kyle here like when you were talking about like Brazil. My favorite favorite thing is something that we make at home. It’s called. I think it’s inspired by Brazil. It’s like, is that? Is that how
124 00:17:29.020 ⇒ 00:17:30.839 Annie Yu: that’s I love it.
125 00:17:30.840 ⇒ 00:17:31.180 Caio Velasco: Yes.
126 00:17:31.180 ⇒ 00:17:40.347 Annie Yu: Yeah. And I have those like in my freezer all the time. And I had that for breakfast this morning, too. So I love that.
127 00:17:43.020 ⇒ 00:17:50.870 Demilade Agboola: That’s super cool. Look at us bonding of our breakfast meals. I think last person would be Ryan, like Luke.
128 00:17:56.720 ⇒ 00:18:16.390 Luke Daque: Yeah, I guess mine. I I sent into the in the chat so I’ll have you go river rafting here in city. It’s like the main thing here. And there’s also like, yeah, like a pine tree forest thing where it’s like a vacation place. Basically. So yeah.
129 00:18:16.390 ⇒ 00:18:21.569 Amber Lin: Wow, Luke, you’re in a very different part of the Philippines. Then.
130 00:18:22.060 ⇒ 00:18:22.570 Luke Daque: Wonderful.
131 00:18:22.570 ⇒ 00:18:23.190 Amber Lin: Sorry.
132 00:18:23.190 ⇒ 00:18:25.320 Luke Daque: Yeah, I’m in the south southern part.
133 00:18:25.320 ⇒ 00:18:30.199 Amber Lin: Oh, oh, very interesting!
134 00:18:33.090 ⇒ 00:18:51.340 Demilade Agboola: Okay. So to thanks for all the answers, really appreciate that, like, it was nice hearing about like people’s experiences across the world and what they do and what they would, what they would like to share if anyone came visiting, and I hope, like people were noting it. So in case you go visiting. You kind of know things you want to do across that part.
135 00:18:51.480 ⇒ 00:18:53.639 Demilade Agboola: So the next thing is a lab share.
136 00:18:55.820 ⇒ 00:19:03.370 Demilade Agboola: So this is my lab share for the week. So lessons from soccer.
137 00:19:03.860 ⇒ 00:19:12.179 Demilade Agboola: Just so, you know. I say football a lot so like the rest of the world says football. So if my mind switches to football, this is what I’m talking soccer.
138 00:19:13.019 ⇒ 00:19:28.910 Demilade Agboola: So basically, what what have I? What do I mean? I’m not obviously not a professional football player, but I’ve loved playing football since I was a child. It’s 1 of my favorite things, and it’s like the national sport of Nigeria. Everyone plays football in Nigeria. Right? So what do you learn from football? That kind of
139 00:19:29.560 ⇒ 00:19:33.690 Demilade Agboola: translates to like teamwork and just like working together as a team.
140 00:19:33.960 ⇒ 00:19:39.879 Demilade Agboola: Oh, yeah. And I actually have pictures of me playing football in in the slides as well. So that’s this is actually me.
141 00:19:41.410 ⇒ 00:19:48.600 Demilade Agboola: yeah. So in football like team success is based on the collective. It’s not really about having the best player.
142 00:19:49.110 ⇒ 00:20:04.529 Demilade Agboola: even though that helps a lot. But it’s about having the best team and how that team works together to achieve success, and that also translates into like business as well. It’s not always about being the best person. It’s about, how do we, as a team, achieve the best results?
143 00:20:04.770 ⇒ 00:20:11.859 Demilade Agboola: And one of the things you notice in like football is that people communication is very key.
144 00:20:12.150 ⇒ 00:20:23.259 Demilade Agboola: right? So I play like center back. And one of the things you learn very quickly is once a keeper or the goalie behind you shouts, Leave the ball. You leave the ball, no matter, even if you think it’s like good for you to keep
145 00:20:23.390 ⇒ 00:20:39.410 Demilade Agboola: possession of the ball, you let go for the keeper. Same thing with like someone shouting man on. So, man on just basically means as you’re receiving the ball, someone from your blind side is coming quickly to try and get the ball from you, so you might not see that. But you need to take possession of the ball
146 00:20:39.830 ⇒ 00:20:54.279 Demilade Agboola: like with that awareness that someone is coming to get the ball from you and in the workplace we also need to communicate. We need to be able to say, Hey, that task you’re working on, I see potentially, you need to be aware that’s like your man on a call like, Yeah, there’s pressure coming in like, it’s
147 00:20:54.370 ⇒ 00:21:17.049 Demilade Agboola: you think you might be, it might look light, but like it potentially could be it could unravel to be something else. And that just like level of communication that ability to like, talk to ourselves consistently and and help ourselves out, because, you know, things are coming from your blind side, or just just so that things run smoothly and we hand over things properly. Communication is always very key.
148 00:21:18.970 ⇒ 00:21:36.750 Demilade Agboola: the next thing is like the game can change in an instant, like literally, all it takes is a red card. A red card means, once you get a plan, your team has been sent off so they don’t come back into the game at all. So you play one man down for the rest of the game, which is very hard by the way, or an injury can happen.
149 00:21:36.880 ⇒ 00:21:51.270 Demilade Agboola: So you have tactics going into the game. Someone gets injured. So that could be someone funny ill in the work context, like someone is just not around that day, or like the shift in tactics like how we plan to play that day. It’s just not working. We need to change how we’re playing
150 00:21:51.858 ⇒ 00:21:55.339 Demilade Agboola: teams that can play and adapt to all these things.
151 00:21:55.450 ⇒ 00:22:06.990 Demilade Agboola: They succeed really well, because they’re not just hamper like when things happen. When adversity happens, they know how to like adapt to it. And I think, as a team as well, we need to also have that as like
152 00:22:07.130 ⇒ 00:22:33.139 Demilade Agboola: a way in which we function, and I’m 1 of the things I’m super happy about is like robots was out of office this week, for instance, and like we’ve been able to get things going. Obviously it’s smoother when robots is around, but being able to be flexible, being able to be adaptable, being able to solve things is part of what makes a great team and what is critical for team success. And that is part of like all of that. So
153 00:22:33.940 ⇒ 00:22:44.450 Demilade Agboola: adapt to the game. Don’t get stuck in the plan. You know, we need to keep like figuring things out as challenges happen, as clients need to change as new technologies come up. We just need to be adaptable
154 00:22:45.370 ⇒ 00:23:06.840 Demilade Agboola: also in football. Trusting your teammates is essential, like it’s 1 of the most important things, because the football field is really huge, so you can’t cover the entire pitch yourself. You can’t take the ball from your defense and run all the way to the front. I run back. You’re going to kill yourself right? So being able to trust your teammates is essential, being able to know that, like, Hey, my duty
155 00:23:07.175 ⇒ 00:23:31.460 Demilade Agboola: is. I win the ball, I pass it to the I pass it to the midfielder. The midfielder is going to push it to the striker, and striker’s job is to score being able to understand that duty. And of course, like they’re always going to be supplementary roles right? Sometimes you have, like your defenders who will bring the ball out of defense that happens. So that does happen where people can step out, but being able to also trust being able to know that, like I don’t have to do it by myself.
156 00:23:31.660 ⇒ 00:23:34.100 Demilade Agboola: and being able to like.
157 00:23:34.750 ⇒ 00:24:00.040 Demilade Agboola: rely on your teammates is very important, and that translates into workplace right? Like you’re not like. No matter how good you are like. You can’t do everything by yourself. You need to be able to have those lines where you’re like, okay, I I trust you to be able to handle this. And I will focus on this and it’s part of like how we operate, you know. That’s why we have Pm’s. That’s why we have analysts. That’s why we have analytics, engineers, you know. That’s why we have people in charge of operations like.
158 00:24:00.410 ⇒ 00:24:23.229 Demilade Agboola: sure, potentially one person could do it all. But you know that person is just going to crash and burn. So it’s important to be able to know. Hey? Can I help on a call with you where we could, where we could solve this issue? Hey! What are your thoughts on this, hey? Can I hand over this task to you? Just being able to have that level of integration across our team is very important.
159 00:24:23.820 ⇒ 00:24:25.090 Demilade Agboola: And then.
160 00:24:26.140 ⇒ 00:24:34.970 Demilade Agboola: yes, individuals can score the goals or get the moments. But ultimately it’s the team that wins or the team success that counts
161 00:24:35.100 ⇒ 00:24:37.790 Demilade Agboola: right. So if I score.
162 00:24:37.910 ⇒ 00:24:44.690 Demilade Agboola: One of my favorite recent memories in football was the 2018 World Cup.
163 00:24:44.810 ⇒ 00:24:50.179 Demilade Agboola: It was the Argentina World Cup, Argentina versus France. That was the final
164 00:24:50.420 ⇒ 00:24:57.539 Demilade Agboola: Mbappi scored a hat trick. So hat trick for those who don’t know missed 3 goals. It’s that’s crazy like that’s 1 of the that’s that’s 1 of the
165 00:24:57.760 ⇒ 00:24:59.670 Demilade Agboola: biggest fan of moments ever.
166 00:24:59.840 ⇒ 00:25:12.320 Demilade Agboola: But Argentina won. At the end of the day Argentina won the World Cup, and at the end of the day. That’s what history will remember. It’s not that Mbappe scored a hat trick which was a great moment, but ultimately it’s that Argentina won the
167 00:25:12.840 ⇒ 00:25:23.789 Demilade Agboola: and I think at the end of the day we need to like kind of have that mentality of like. It’s great to get like awards or to shine and have, like those like accolades. But on every project, on every
168 00:25:24.020 ⇒ 00:25:33.249 Demilade Agboola: everything we’re doing is like how to bring forth move forward, because if Bringford moves forward, everyone eats basically like, how do we get that state of mind where.
169 00:25:33.370 ⇒ 00:25:36.429 Demilade Agboola: like, yes, the upgrades are great, but ultimately
170 00:25:36.650 ⇒ 00:25:39.150 Demilade Agboola: collective success is what drives the company forward.
171 00:25:40.990 ⇒ 00:25:49.999 Demilade Agboola: And so finally, just like in well, when we work together, we communicate, we trust each other, and we adapt strategies. We can achieve great great things as a team.
172 00:25:50.210 ⇒ 00:25:52.140 Demilade Agboola: And so that’s just
173 00:25:52.390 ⇒ 00:25:57.110 Demilade Agboola: those are just some of the lessons. There’s still more stuff about football. And I really love football, because, like it has
174 00:25:57.560 ⇒ 00:26:03.850 Demilade Agboola: that team, that team focus especially when you’re playing 11 aside, like 11 people like the full pitch.
175 00:26:04.070 ⇒ 00:26:07.148 Demilade Agboola: It’s very team oriented. And I really enjoy that
176 00:26:07.760 ⇒ 00:26:11.719 Demilade Agboola: So yes, those are. That’s my live share for the week.
177 00:26:14.370 ⇒ 00:26:19.820 Amber Lin: Did you play football professionally or like? Were you in like a youth league.
178 00:26:20.620 ⇒ 00:26:21.190 Demilade Agboola: Definitely, not.
179 00:26:21.190 ⇒ 00:26:21.930 Amber Lin: Do you look.
180 00:26:21.930 ⇒ 00:26:22.400 Demilade Agboola: Oh, yeah.
181 00:26:22.400 ⇒ 00:26:24.770 Amber Lin: You look very professional in that photo.
182 00:26:25.460 ⇒ 00:26:31.770 Demilade Agboola: I mean I I just I just I play for fun. I literally play 2 times 3 times a week sometimes.
183 00:26:32.141 ⇒ 00:26:36.590 Demilade Agboola: And it’s something I’ve done since I was a child. So that does help quite a bit.
184 00:26:37.033 ⇒ 00:26:42.170 Demilade Agboola: I think. To be honest, most most con a lot of countries play football like
185 00:26:42.510 ⇒ 00:26:52.060 Demilade Agboola: like a lot when you’re a child like Brazil, Spain, Portugal, like it’s it’s a very popular sport in that sense. So it’s really fun. It’s a really fun activity and something I always love doing.
186 00:26:55.990 ⇒ 00:26:58.589 Uttam Kumaran: I guess I was gonna ask maybe one for.
187 00:26:59.440 ⇒ 00:27:02.789 Uttam Kumaran: Yeah, I was gonna ask one follow up question, just like.
188 00:27:03.030 ⇒ 00:27:08.609 Uttam Kumaran: you know, building on your thing like, what are some immediate changes like we can make based on
189 00:27:08.980 ⇒ 00:27:37.600 Uttam Kumaran: this? I mean, I I like this because one, it’s it’s not boring like typical project management like team role structure is pretty boring. So maybe this allows us to like name things better, and it makes it a little bit more fun. But like what are some immediate things we should try, you know, a couple of things that stuck out to me was one. This sort of like selfless team based focus. Right? I think that always helps as we’re like giving each other feedback, that our number one goal is the client succeeds, and then we win the game right versus like the hat trick.
190 00:27:37.860 ⇒ 00:27:42.880 Uttam Kumaran: But I don’t know if you have any like in thinking about these parallels. We had any immediate things that we could try to do.
191 00:27:44.520 ⇒ 00:27:53.379 Demilade Agboola: Yeah, I mean, ultimately, I I actually do think for me. When I was as I was putting this together, it was more of like reinforcing team ideals
192 00:27:53.570 ⇒ 00:27:57.209 Demilade Agboola: not necessarily like. I think we were generally in a good state.
193 00:27:57.400 ⇒ 00:28:01.610 Demilade Agboola: generally speaking, in terms of like the team ethic here.
194 00:28:01.970 ⇒ 00:28:15.899 Demilade Agboola: I don’t think anyone is like selfish, or trying to get all the glory or anything like that. I think people are very helpful if you reach out to people, and you need support. They’re willing to give their time to that. And I think that’s a great thing, though, like in terms of culture, that we have.
195 00:28:16.293 ⇒ 00:28:43.639 Demilade Agboola: I just. I just felt like reinforcing it and being able to put that in the state of like mind of like, Hey, sometimes maybe we’re working on a problem or a challenge, and we’re so deep in it that maybe sometimes you can trust your teammates to handle some certain things for you, or you could reach out and get some support from someone. Or maybe sometimes you see task and potentially that you can see pitfall ahead, just being able to communicate. That, you know, is very helpful.
196 00:28:43.680 ⇒ 00:28:48.060 Demilade Agboola: so that people don’t run into issues that you saw like in mileage.
197 00:28:49.235 ⇒ 00:28:57.130 Demilade Agboola: That sort of thing. But I think in general, I think we do have good team culture and team like principles and team ethic.
198 00:28:57.950 ⇒ 00:29:00.110 Uttam Kumaran: Yeah, I think one thing we do. Well, I think we’re
199 00:29:00.300 ⇒ 00:29:08.329 Uttam Kumaran: when I if I think about our company like we’re always on the pitch right, but I think there’s a couple of things that we could do a little bit better, as one like having plays
200 00:29:08.530 ⇒ 00:29:09.700 Uttam Kumaran: that we run
201 00:29:09.940 ⇒ 00:29:27.249 Uttam Kumaran: right like having set plays that we like see a situation, we see a type of client that we run. The second is like preparing for the next team. Right? I think urban stems was a great example of like something that where we had enough time to prepare and get ready.
202 00:29:27.340 ⇒ 00:29:48.170 Uttam Kumaran: that we know that this this next team. We’re gonna play right? And so we have a little bit of leeway. Of course, the challenge with us is we’re playing 5 or 6 games or 10 games in parallel right? And some of us are playing on multiple pitches. So this the kind of analogy breaks down a little bit. But I do think that something around set plays and like having like.
203 00:29:48.450 ⇒ 00:29:58.400 Uttam Kumaran: like, basically like, if anyone’s played sports, you know that like we’re gonna run this play, or we’re gonna do that. That’s 1 thing. Second, is having some sort of like pre game or like
204 00:29:58.600 ⇒ 00:30:25.693 Uttam Kumaran: before we’re gonna go play a team like here’s what they’re like. Here’s the type of stuff we should be mindful of. How like, what is the film equivalent, you know, for for that team we are now able to categorize clients in multiple buckets. We have clients that are very engaged, clients that are disengaged clients that, like we have to be very presentation focused clients where, like, okay, it’s actually they just want any anything as it comes up. They don’t care. We don’t want decks or anything. And so I think it’s for us to
205 00:30:26.950 ⇒ 00:30:30.739 Uttam Kumaran: to to figure that out. So that’s actually really helpful. Yeah.
206 00:30:33.190 ⇒ 00:30:37.272 Demilade Agboola: Yeah, glad. Everyone seems like the presentation.
207 00:30:38.160 ⇒ 00:30:41.489 Demilade Agboola: so yeah, that’s the lab share for this week.
208 00:30:45.090 ⇒ 00:30:47.510 Demilade Agboola: I think Watam can run the updates.
209 00:30:48.140 ⇒ 00:30:54.180 Uttam Kumaran: Yeah. So one thing that I’m starting to do every month. And this was our 1st month
210 00:30:54.390 ⇒ 00:31:08.209 Uttam Kumaran: that I was able to sort of complete it as we’re doing, sort of like monthly operational updates on, like, basically the whole company. I think we do a pretty good amount of reflection on like a weekly basis, but it allows us to sort of look month to month.
211 00:31:08.558 ⇒ 00:31:24.580 Uttam Kumaran: I wanted to just share this slide, and we have, you know 2 others after this, but these are just a couple of like very high level accomplishments for the company. That I think it’s helpful. Why, you know, to kind of continue on like this like soccer analogy like while
212 00:31:24.880 ⇒ 00:31:43.439 Uttam Kumaran: everybody is on in the game. Sort of playing the pitch. This is like, how is the new stadium coming? This is like, are we getting like better equipment? Are we trading for the next player? Are we like? Are we getting to the next league, right? So these are all the things that like my level.
213 00:31:43.610 ⇒ 00:31:58.900 Uttam Kumaran: like I’m thinking about. So one is like cutting costs. For me. Cutting costs is like, okay, we had a bunch of software that nobody was using. Okay, we can get rid of that. We had some ways of just streamlining some expenses we can enable that this just helps us.
214 00:31:59.040 ⇒ 00:32:23.250 Uttam Kumaran: you know, run a better operation. Second is we we? You’ll see in the next slide that we did a lot on the partners, and business development side as well. So we’re increasing. You know, our revenue opportunities. The 3rd is, we’re doing a lot more on the marketing side. So if you guys are on Linkedin, you’re seeing how much stuff we’re doing and that’s all credit to our marketing team. So we’re posting every day
215 00:32:23.360 ⇒ 00:32:34.879 Uttam Kumaran: on my profile on the company profile. More people on the team are going to post blogs videos stuff like that. So we’re seeing this help speed up our deal cycles quite a bit.
216 00:32:35.328 ⇒ 00:32:46.479 Uttam Kumaran: We change a lot of our contract terms. So this helps us, Bill, and get money in faster. We signed 2 of our longest contracts, so they’re both 6 months contracts. Both
217 00:32:47.630 ⇒ 00:32:59.130 Uttam Kumaran: 6 both. Both almost 6 figure contracts. So that’s that’s really great. And obviously the last piece is not just, for, like, Hey, we got a break. But
218 00:32:59.420 ⇒ 00:33:03.820 Uttam Kumaran: part of the way we test the system is the fact that, like
219 00:33:04.480 ⇒ 00:33:22.550 Uttam Kumaran: a key player or a key coach, or someone on the team can leave, and the the ship keeps moving right? And that’s what we tested this week and last week. And we’re finding opportunities that break down. And this is sort of stress testing. The business is like if we go on vacation. And so I think these are all like pretty good wins.
220 00:33:23.481 ⇒ 00:33:26.910 Uttam Kumaran: Any questions here or any comments?
221 00:33:32.300 ⇒ 00:33:33.870 Uttam Kumaran: Okay, let’s go to the next one.
222 00:33:39.115 ⇒ 00:33:43.524 Uttam Kumaran: And I just wanted to give you guys, this is our snapshot of our sales. Pipeline.
223 00:33:43.850 ⇒ 00:34:12.850 Uttam Kumaran: this was as of last week. So couple of things have moved so we signed 2 new clients we lost Javi. We signed ABC. Home and urban stems both to 6 month contracts. We are on the right side. You’re seeing all the notable leads in pipeline we have at any moment. We have 30 to 40 leads and pipeline. These are sort of the 6 that are like
224 00:34:13.020 ⇒ 00:34:15.435 Uttam Kumaran: highest odds of closing
225 00:34:16.449 ⇒ 00:34:29.730 Uttam Kumaran: And so it’s we’re actually pretty healthy. We’re sending about 3 to 4 proposals out a week, of which, typically like one closes, one closes every other week or so. And we’ve been doing this consistently for the past 4 weeks.
226 00:34:29.920 ⇒ 00:34:42.149 Uttam Kumaran: So pretty good. We’re our sales. Conversations we’re having are a lot tighter. We’re able to close in like 2 conversations or less sending a lot more materials. So we have a lot of
227 00:34:42.449 ⇒ 00:34:47.719 Uttam Kumaran: leads and pipeline that are working. We signed a bunch more partnerships. So this is something coming out of
228 00:34:47.840 ⇒ 00:35:10.609 Uttam Kumaran: the off site that we decided to do was lean more into partnerships, and really the area I’m leading. So we signed several partnerships with vendors with service partners with other agencies. And so you see that on like the left, and then, in terms of top of funnel, you’re seeing that on we have a big growth in impressions, a big growth in events and promotions, and a big growth in
229 00:35:10.760 ⇒ 00:35:26.589 Uttam Kumaran: sales and marketing. Just like speed. While keeping our expense low. Which is helpful, which means we’re able to grow our outreach. We’re able to grow the amount of work we’re doing, and we’re able to acquire customers for less. So
230 00:35:27.220 ⇒ 00:35:34.389 Uttam Kumaran: this is like a heavy slide, but has, like everything about our sales, and like revenue pipeline
231 00:35:34.892 ⇒ 00:35:55.569 Uttam Kumaran: to give you one more quick thing about how we think about the business. So there’s different between booked revenue and sort of revenue that is in pipeline. Right? So we’re trying to have a roughly anywhere from 300 to $500,000 of revenue in pipeline, of which 10%
232 00:35:55.820 ⇒ 00:36:22.360 Uttam Kumaran: or so we’ll probably close right? So we can be having 50 conversations, and we expect only a small percentage to close and so our job is to one increase that backlog and then close more. So we’ve now with all the marketing work. Our backlog is now getting pretty big. So given the same close rate we’re we’re we’re on a good path. Now our job is to how do we actually move these ones on the right to close faster?
233 00:36:22.820 ⇒ 00:36:46.490 Uttam Kumaran: And so in the coming months you’ll see me report on on revenue and backlog. You’ll see me report on booked revenue, and you’ll see me report on like active monthly revenue. But I’m also gonna talk about clients. We’re losing clients. We’re not renewing or not expanding. But hopefully, this gives everyone like a pretty clear picture of, like our like financial sort of standing
234 00:36:48.200 ⇒ 00:36:51.989 Uttam Kumaran: cool. We can go to the next one but feel free to interrupt me if there’s any questions.
235 00:36:56.590 ⇒ 00:37:07.690 Uttam Kumaran: And I just wanted to add this. So yeah, I would say, the only kind of notable change here is we’re sending a we’re gonna be moving pool parts to fixed contract, which is, gonna be great.
236 00:37:08.524 ⇒ 00:37:22.990 Uttam Kumaran: off the record. We made some adjustments. And so one of the kind of the bigger adjustments we’re deciding to to make here. Is, as you know, as you guys know, amber is working on like almost every or most of the clients, and so
237 00:37:23.508 ⇒ 00:37:34.260 Uttam Kumaran: as probably expected, it’s that’s really hard. And so what we’re planning on doing is mainly to make a decision that clients only above the 5 grand
238 00:37:34.898 ⇒ 00:37:48.710 Uttam Kumaran: a month cut off. Get a project manager. So anything that’s like small like read me like off the record, or any client that’s like not going to grow like, for example, pool parts. I wasn’t sure whether they’re gonna grow
239 00:37:49.180 ⇒ 00:38:06.229 Uttam Kumaran: and so we’re gonna reserve our project management resources that are pretty slim right now, just for the clients that that deserve it. So urban stems. Eden, ABC. Home. Those are big clients with a lot of growth potential where the success of our engineering team
240 00:38:06.560 ⇒ 00:38:27.609 Uttam Kumaran: hinges on the success and the effort from our Pm’s. And then my ability to go in there and get us bigger deals relies on both of those pieces happening. So that domino effect has to happen. And for the clients that are smaller, we’re gonna run one week sprints. We’re gonna run with no pm, and we’re just gonna run either with one or 2 people on the team.
241 00:38:27.980 ⇒ 00:38:44.249 Uttam Kumaran: and that that client is not going to get daily standups. The client’s gonna get like one meeting a week. And so one. This should push clients to say, these are doing great job we want to increase so we can get that resource. Second, I want to preserve, and the company should want to preserve Amber’s time.
242 00:38:44.640 ⇒ 00:39:01.429 Uttam Kumaran: to be most highly leveraged towards our highest growth opportunities. So that’s probably the only change you’re seeing. So where? How this should impact everybody on the end side. One. Our goal is to do better. Grooming sessions have better tickets. Actually do planning, retro. Stand up.
243 00:39:01.590 ⇒ 00:39:03.490 Uttam Kumaran: grooming.
244 00:39:03.900 ⇒ 00:39:16.881 Uttam Kumaran: climbing, like all the traditional work. For the clients that are smaller. It’ll just either be me or someone who’s a tech lead that’s like mainly running it. And then someone who’s on the account side, and our goals will be to grow those.
245 00:39:17.720 ⇒ 00:39:24.299 Uttam Kumaran: so I’m I’m with. So I think, to kind of wrap. Put a bow on this. Everything we’re doing at the company
246 00:39:24.490 ⇒ 00:39:32.549 Uttam Kumaran: is gonna be painful. I think it’s just degrees of pain at the moment, like we’re still growing. And so this is an area where I think we pushed
247 00:39:32.650 ⇒ 00:40:00.990 Uttam Kumaran: project management to the like limit of like, how many things that Amber can handle at one moment. And so we sort of find what breaks, and then we reel it back in. And this is what we do across the business. Right? We we take it to the limit. Find out what’s breaking. Don’t risk anything and then bring it back. And we’ve done this in several areas, right? Like we we had a big push for documentation where we had to figure all that out. Now, we have a great data platform sort of process project management sales, side operations marketing. So we
248 00:40:01.010 ⇒ 00:40:04.289 Uttam Kumaran: we have to do these things to find out like when things break.
249 00:40:04.470 ⇒ 00:40:09.060 Uttam Kumaran: and then we sort of reel it back in. So one thing I can say is, fail fast
250 00:40:09.960 ⇒ 00:40:17.989 Uttam Kumaran: and raise your hand if you’re feeling overwhelmed, or if you’re feeling like Hey, I’m starting to lose energy or burnout, because that’s a good sign that things are breaking.
251 00:40:18.140 ⇒ 00:40:24.930 Uttam Kumaran: At that point we will reel things back in and find what we could do. You know. In a stable manner so
252 00:40:25.290 ⇒ 00:40:28.501 Uttam Kumaran: cool, that’s all I had.
253 00:40:36.890 ⇒ 00:40:39.180 Amber Lin: Oh, those are from last week.
254 00:40:41.000 ⇒ 00:40:42.500 Demilade Agboola: Yeah, I, guess, yeah.
255 00:40:43.180 ⇒ 00:40:47.490 Amber Lin: Excited, very, very, very excited, for this one.
256 00:40:48.650 ⇒ 00:40:55.430 Demilade Agboola: Yes, so it’s download. This is from PC, it’s the zoom search and chat interface for Zoom Meeting.
257 00:40:55.990 ⇒ 00:40:57.969 Demilade Agboola: I will stop sharing.
258 00:40:58.100 ⇒ 00:40:58.930 Demilade Agboola: Take over.
259 00:41:01.140 ⇒ 00:41:03.979 Casie Aviles: Okay, so yeah, can you get in.
260 00:41:05.740 ⇒ 00:41:06.340 Uttam Kumaran: Yes.
261 00:41:06.340 ⇒ 00:41:06.890 Demilade Agboola: Time.
262 00:41:07.760 ⇒ 00:41:13.181 Casie Aviles: Okay? So yeah. So for this week, we the team has just been working on this
263 00:41:14.050 ⇒ 00:41:28.000 Casie Aviles: interface for zoom. Yes. So one of the things. One of the reasons why is you know some some of the team has already would tag me and ask where to find the Zoom Meetings. And
264 00:41:28.160 ⇒ 00:41:32.300 Casie Aviles: yeah, they’re not the most searchable at that point. So
265 00:41:33.004 ⇒ 00:41:36.100 Casie Aviles: this is one of the things we did to
266 00:41:36.380 ⇒ 00:41:44.660 Casie Aviles: address that. And basically, we took the existing demo page that we have that we hosted.
267 00:41:45.010 ⇒ 00:41:48.490 Casie Aviles: And we created. We vibe coded this interface.
268 00:41:49.201 ⇒ 00:41:54.030 Casie Aviles: So yeah, you could, we could go here to this link. And
269 00:41:55.180 ⇒ 00:41:57.920 Casie Aviles: basically, we have the Zoom Meeting
270 00:41:58.330 ⇒ 00:42:00.389 Casie Aviles: meetings that we have here. And
271 00:42:01.724 ⇒ 00:42:08.520 Casie Aviles: yeah, definitely, we could add some more improvements here, like, filters and stuff. So
272 00:42:09.020 ⇒ 00:42:12.813 Casie Aviles: yeah, feedback would be great. But right now we have the dates.
273 00:42:13.660 ⇒ 00:42:17.119 Casie Aviles: yeah, for example, let’s take the meetings from today.
274 00:42:19.220 ⇒ 00:42:23.069 Casie Aviles: Yeah. So we have these meetings. And then when you click
275 00:42:23.230 ⇒ 00:42:25.720 Casie Aviles: through one of the meetings here.
276 00:42:26.250 ⇒ 00:42:30.089 Casie Aviles: you should be able to chat, you should be able to see the videos. And
277 00:42:30.280 ⇒ 00:42:36.660 Casie Aviles: you can cycle through the videos. There are different kinds of videos. So 4, 8.
278 00:42:38.445 ⇒ 00:42:43.519 Amber Lin: Can I see the transcript? Wow.
279 00:42:43.520 ⇒ 00:42:45.510 Casie Aviles: Yeah, this is from zoom. So.
280 00:42:45.510 ⇒ 00:42:46.370 Amber Lin: Oh, gosh!
281 00:42:46.650 ⇒ 00:42:51.580 Casie Aviles: We just basically, we download that transcript from zoom, and then we place it here.
282 00:42:53.842 ⇒ 00:43:00.330 Casie Aviles: And yeah. And then I guess that one of the key things is the the ability to chat over it like granola. So
283 00:43:01.820 ⇒ 00:43:03.740 Casie Aviles: we could ask something like.
284 00:43:09.200 ⇒ 00:43:16.750 Casie Aviles: so yeah, basically, we just copied the idea from granola. And we have, like a an a 10 agent
285 00:43:17.200 ⇒ 00:43:26.009 Casie Aviles: for the back end that takes in the transcript as a context, and it allows you to to
286 00:43:26.380 ⇒ 00:43:34.249 Casie Aviles: talk, you know, to ask questions about this meeting. So yeah, for example, these are.
287 00:43:36.445 ⇒ 00:43:38.580 Casie Aviles: yeah, these are what the AI
288 00:43:38.950 ⇒ 00:43:41.789 Casie Aviles: was able to extract from the transcript.
289 00:43:43.852 ⇒ 00:43:54.179 Casie Aviles: Yeah, I guess that’s pretty much it that we for the demo and also sent a list of you know other things that we can work on, and ideally.
290 00:43:54.180 ⇒ 00:44:00.949 Uttam Kumaran: I, just I have a couple of questions. Can you? Can you explain how long this took you to do from when we planned it
291 00:44:01.200 ⇒ 00:44:04.030 Uttam Kumaran: to when you got the majority of this.
292 00:44:05.232 ⇒ 00:44:11.079 Casie Aviles: Yeah, I think I I got it around Thursday. We managed to deploy it there. We started on Monday
293 00:44:11.700 ⇒ 00:44:13.460 Casie Aviles: to actually do the.
294 00:44:13.460 ⇒ 00:44:16.351 Uttam Kumaran: That’s insane, that is insane.
295 00:44:17.260 ⇒ 00:44:23.370 Uttam Kumaran: And so can you talk about how you did this? Can you get the behind the scenes of like how you’re using cursor to do this.
296 00:44:25.290 ⇒ 00:44:28.889 Casie Aviles: Yeah, sure. Just open cursor right now.
297 00:44:29.410 ⇒ 00:44:34.320 Uttam Kumaran: Cause for me. I I think the application, of course, is like insane.
298 00:44:34.510 ⇒ 00:44:42.489 Uttam Kumaran: But the way we’re able to push products internal tools out in 2 and a half days.
299 00:44:42.790 ⇒ 00:44:44.609 Uttam Kumaran: It’s pretty ridiculous.
300 00:44:47.610 ⇒ 00:44:50.770 Uttam Kumaran: So I would just love everybody who hasn’t played with cursor.
301 00:44:50.910 ⇒ 00:44:56.170 Uttam Kumaran: And I know Kyle yours now doing a bunch of stuff with AI. I know AI team is like
302 00:44:56.710 ⇒ 00:45:09.220 Uttam Kumaran: lives in cursor, but I just want everyone to kind of see, you may have seen some of this or read about some of this. We’re doing this internally. So it’s helpful. And and, Casey, can you also do you have any background in front end development?
303 00:45:10.795 ⇒ 00:45:14.370 Casie Aviles: I just did a few projects when I was still in undergrad, but
304 00:45:14.680 ⇒ 00:45:18.760 Casie Aviles: I haven’t really like professionally. I haven’t done Front end to be no.
305 00:45:18.760 ⇒ 00:45:25.990 Uttam Kumaran: Do you know? Do you know, react, or like? How do you do use an Orm like super base at all like before this project.
306 00:45:26.250 ⇒ 00:45:26.785 Casie Aviles: No.
307 00:45:27.970 ⇒ 00:45:28.560 Uttam Kumaran: Okay.
308 00:45:28.560 ⇒ 00:45:29.140 Casie Aviles: Yeah.
309 00:45:29.140 ⇒ 00:45:34.439 Uttam Kumaran: Sorry. I’m asking very like rhetorical, like layup questions, but like, I just want to set the scene here.
310 00:45:35.050 ⇒ 00:45:41.270 Casie Aviles: Yeah, but yeah, I guess how right now, the agent is not working. But
311 00:45:41.818 ⇒ 00:45:48.250 Casie Aviles: this helped a lot. So what what I did. I was just. I would I would just give it like a a prompt where
312 00:45:49.023 ⇒ 00:45:54.926 Casie Aviles: like, for example, here, or like you could reference which file you want, for example?
313 00:45:55.990 ⇒ 00:46:03.270 Casie Aviles: zoom search, which is, where can you adjust the or like? Can you add
314 00:46:03.770 ⇒ 00:46:09.482 Casie Aviles: pagination? Something like that? Or can you add filters. So that’s what I do. It’s very
315 00:46:10.060 ⇒ 00:46:12.020 Casie Aviles: yeah, right now, it’s free users. But
316 00:46:13.020 ⇒ 00:46:26.360 Casie Aviles: the agent, basically what it does is it’s equipped with tools. And it’s gonna edit the code for you. So I don’t even have to go in there and manually change the code. You’re just gonna have to accept or reject the
317 00:46:26.570 ⇒ 00:46:34.540 Casie Aviles: revisions. And yeah, I think it. It made it a lot easier. Because, yeah, before you would typically just
318 00:46:35.249 ⇒ 00:46:41.480 Casie Aviles: yeah, even with Chat Gpt. I would go there and paste the code, and then I would take the code there and paste it here.
319 00:46:41.690 ⇒ 00:46:46.159 Casie Aviles: But with the agent it’s equipped with tools, and it has, you know, it
320 00:46:46.290 ⇒ 00:46:48.789 Casie Aviles: contacts on your code base. So
321 00:46:48.940 ⇒ 00:46:57.139 Casie Aviles: like, for example, this is Miguel’s work, and I did not know how I I don’t know about the Directory, so I asked the AI as well to
322 00:46:57.620 ⇒ 00:47:02.380 Casie Aviles: tell me, where do I make the changes? Where do I add the files that they need to. And
323 00:47:02.730 ⇒ 00:47:06.239 Casie Aviles: yeah, that’s how I use cursor. Basically.
324 00:47:06.910 ⇒ 00:47:11.490 Uttam Kumaran: In case you also have a free cursor. You have a paid cursor account, by the way, so you should log in.
325 00:47:11.860 ⇒ 00:47:13.380 Casie Aviles: Okay. Okay. Yeah.
326 00:47:14.101 ⇒ 00:47:17.709 Uttam Kumaran: If I if you could just pull up the
327 00:47:17.950 ⇒ 00:47:23.490 Uttam Kumaran: zoom thing one more time, I just wanna go one step deeper and share what the roadmap for this is
328 00:47:25.340 ⇒ 00:47:29.149 Uttam Kumaran: and I sent it yesterday but a couple of things. So
329 00:47:30.290 ⇒ 00:47:53.349 Uttam Kumaran: this is a project that I’ve I’ve sort of wanted to make happen since, like for about a year and a half now. But I knew we would have to build an AI team and get everyone on the same page to do something like this. There’s a couple of like key ideas that are going to come up next one. This is all of our internal meetings, right? So a couple of easy ones, we have meetings that are that are client related like planning our project. Managers spend hours creating tickets.
330 00:47:53.350 ⇒ 00:48:03.819 Uttam Kumaran: We’re gonna have AI take the 1st draft and Pm’s will be able to click on the tickets they want to create directly from this Ui, one by one by one, and it’ll go straight to linear.
331 00:48:03.880 ⇒ 00:48:05.480 Uttam Kumaran: huge time savings.
332 00:48:05.921 ⇒ 00:48:10.290 Uttam Kumaran: I know as I’ve spent a ton of time in linear second piece, sales calls
333 00:48:10.520 ⇒ 00:48:30.010 Uttam Kumaran: a couple of things happen after we talk to a prospect. One we need to draft follow ups. We need to draft sows. We need to draft project plans. All of that we can generate directly in here from the meeting. This is something that right now we’re doing. I’m taking the transcript, copying and pasting it into Chat Gpt, we can sort of avoid that. The 3rd thing
334 00:48:30.010 ⇒ 00:48:47.940 Uttam Kumaran: feedback. So we will have the AI actually, like proactively on a weekly or monthly basis. Give our company feedback, give each team feedback and give individual members feedback on the way they’re communicating ways. They can improve things to look out for that can happen proactively. Now.
335 00:48:48.200 ⇒ 00:48:49.340 Uttam Kumaran: another thing.
336 00:48:49.951 ⇒ 00:49:12.700 Uttam Kumaran: I want to be able to ask a question over all of our meetings. For example, I want to say, Hey, here’s all of our sales meetings. Give me what the common objections are, how we should respond, how we should train new sales members. And so we’re gonna sort of enable that another piece. We’re gonna basically similar to the agents we have for each client. Now, you’ll be able to access them within this ui.
337 00:49:12.750 ⇒ 00:49:20.230 Uttam Kumaran: so you can access them in slack. And you can go here and basically chat directly with like an agent hub that’s built for every client.
338 00:49:20.727 ⇒ 00:49:37.319 Uttam Kumaran: The last thing that I’ll probably mention is that we will end up using AI to actually just detect and create playbooks. So part of the reason I I mentioned as part of the Soccer chat that, like you have these plays
339 00:49:37.320 ⇒ 00:50:06.359 Uttam Kumaran: is it takes someone to look at the whole business, step out and like say, Oh, I see these things across to these patterns, across all these clients that’s like probably only like one or 2 of us, and one of those, probably me is equipped to do that. But what I lack is just time and like resources to do that. And so we’ll have AI actually take a 1st stab at looking across our all of our data meetings and creating those set playbooks, and leveraging that. So this is like a huge, huge unlock
340 00:50:06.400 ⇒ 00:50:08.769 Uttam Kumaran: for us, and it’s like
341 00:50:09.220 ⇒ 00:50:17.320 Uttam Kumaran: couple of days of work to get to this point, so I don’t know what a month will will buy us, you know. So very, very, very glad. Yeah. Go ahead, Aisha.
342 00:50:17.680 ⇒ 00:50:21.000 Awaish Kumar: Yeah, where these like videos are stored in the back end.
343 00:50:21.540 ⇒ 00:50:22.529 Uttam Kumaran: It’s an s. 3.
344 00:50:23.420 ⇒ 00:50:27.520 Awaish Kumar: Okay, it’s the. It’s directly like reading from S. 3. Here.
345 00:50:28.950 ⇒ 00:50:31.960 Uttam Kumaran: Yeah, we have the s, right? We have the s, 3. Video. URL.
346 00:50:32.090 ⇒ 00:50:33.999 Casie Aviles: Yes, yes, this is from S. 3.
347 00:50:34.670 ⇒ 00:50:36.100 Awaish Kumar: Okay. Nice.
348 00:50:40.540 ⇒ 00:50:45.480 Uttam Kumaran: And so we’ll probably clean up the Transcript. Allow for like speeding up the video, watching
349 00:50:45.968 ⇒ 00:50:55.889 Uttam Kumaran: just like helpful features like that. But and then we’ll also have the ability to add external meetings into here. Like, if you have a video from another meeting or transcript, you can upload it here?
350 00:50:56.050 ⇒ 00:50:56.790 Uttam Kumaran: Bye?
351 00:51:01.057 ⇒ 00:51:04.219 Uttam Kumaran: Yeah, thanks, Casey. That was great.
352 00:51:08.100 ⇒ 00:51:11.160 Demilade Agboola: That was amazing. We have one more demo.
353 00:51:12.035 ⇒ 00:51:13.070 Demilade Agboola: That was Kyle.
354 00:51:13.350 ⇒ 00:51:18.920 Demilade Agboola: But like while he’s doing that, can we start sending our shout outs in, so it’s a smooth transition.
355 00:51:32.500 ⇒ 00:51:33.550 Caio Velasco: For the money. You see.
356 00:51:38.400 ⇒ 00:51:41.449 Uttam Kumaran: Should I send them here, or should I use the the form.
357 00:51:42.500 ⇒ 00:51:44.760 Demilade Agboola: Yeah, the form. So I could read the
358 00:51:57.180 ⇒ 00:51:59.199 Demilade Agboola: okay, are you ready for your demo?
359 00:52:08.670 ⇒ 00:52:09.960 Awaish Kumar: You’re on mute, Kyle.
360 00:52:18.810 ⇒ 00:52:20.179 Demilade Agboola: Oh, you’re muted, Kyle!
361 00:52:22.050 ⇒ 00:52:30.620 Caio Velasco: Okay. Sorry. Should I share my screen here, or should you share over there the the spreadsheet? I’m I’m good with both
362 00:52:39.180 ⇒ 00:52:40.190 Caio Velasco: this way.
363 00:52:58.830 ⇒ 00:53:02.550 Caio Velasco: can you guys, can you see my screen? The
364 00:53:03.120 ⇒ 00:53:07.349 Caio Velasco: is it a spreadsheet only, or the whole screen.
365 00:53:07.350 ⇒ 00:53:11.070 Uttam Kumaran: Yes, so it’s your browser. Yeah.
366 00:53:11.070 ⇒ 00:53:13.261 Caio Velasco: Yeah, yeah, no problem.
367 00:53:15.090 ⇒ 00:53:19.659 Caio Velasco: okay. Whenever you want me to start, just let me know if you guys are doing the shout outs.
368 00:53:23.060 ⇒ 00:53:24.519 Uttam Kumaran: I’m ready to go. Yeah.
369 00:53:25.140 ⇒ 00:53:31.450 Caio Velasco: Okay, this, yeah, this is gonna be a quick demo. Just to talk a little bit about the
370 00:53:31.820 ⇒ 00:53:34.250 Caio Velasco: the work we’ve been doing for data platform.
371 00:53:35.740 ⇒ 00:53:42.350 Caio Velasco: basically 2 things. One thing is the dashboard we have. Another thing is the knowledge base we have.
372 00:53:44.400 ⇒ 00:53:49.409 Caio Velasco: Well, theoretically, the idea is that we have AI agents
373 00:53:49.660 ⇒ 00:53:52.929 Caio Velasco: would have they? They have so sources.
374 00:53:53.360 ⇒ 00:53:56.970 Caio Velasco: And for now, as I understand, for each client, we will have.
375 00:53:57.100 ⇒ 00:54:02.110 Caio Velasco: These 2 sources are knowledge base, which is like more text and tables.
376 00:54:02.814 ⇒ 00:54:11.919 Caio Velasco: Organized basically in like a big overview, which is more like business things. I usually more like on the side of po clients, etc.
377 00:54:12.030 ⇒ 00:54:37.419 Caio Velasco: And then the technical side, which is also gonna be like a mirror of the work we do in the spreadsheet. Then we have to decide if we’re gonna put the tables here to to be able to, you know, for the AI to go over it, or I don’t know. This is something more to the future, but the idea is to have these 2 big parts, the business part and the technical part, and at the end we can have also
378 00:54:37.800 ⇒ 00:54:50.289 Caio Velasco: frequent answer questions which is usually stuff that we are always asking in the on slack, or the client ask, or anything that we would lose time trying to figure out you’re trying. We are gonna also put them here.
379 00:54:50.859 ⇒ 00:55:05.660 Caio Velasco: and then Pr summaries, video and rooms. This would be the 1st source for the AI for the AI agent right to be used internally, or, as I see also with the client. They wanna ask stuff.
380 00:55:07.040 ⇒ 00:55:25.809 Caio Velasco: and for the dashboard, which is more like the technical thing, since we are also working with the client and they have access. We started with business context as well, but just something simple just to be on board with them. And this is basically mirroring the the other one.
381 00:55:26.251 ⇒ 00:55:46.790 Caio Velasco: Well, this was, I don’t know. What is this? Actually, because they added today, so this one would be something related to all the tools and costs, because they’re always asking about a cost, or what tools they have, or those things I remember with Javi. There was always a question about that. So here. I think it’s a gives like a nice overview
382 00:55:48.270 ⇒ 00:55:54.770 Caio Velasco: and and also when the contract starts and ends, who is the the relationship owner?
383 00:55:55.535 ⇒ 00:55:59.900 Caio Velasco: And then we kind of go into like a
384 00:56:00.030 ⇒ 00:56:06.840 Caio Velasco: an end to end data, flow, kind of approach. So we would go to the ingestion, which would be the 1st layer.
385 00:56:07.130 ⇒ 00:56:11.790 Caio Velasco: The ingestion here would show the
386 00:56:12.040 ⇒ 00:56:24.529 Caio Velasco: well, basically the data sources when you’re configuring connections, pipelines, each ingestion 2 has a different name, but usually like connections or pipelines. So you would know what is the source
387 00:56:24.930 ⇒ 00:56:31.419 Caio Velasco: the business units of the source just to get acquainted with what is happening in the in, the, in that in for that source
388 00:56:31.721 ⇒ 00:56:58.860 Caio Velasco: short description. Because, for example, now, I’m working with them, and I have to map this. And then I was like, Okay, I have to map and then kind of help with duplicate the tables that are being jetted from multiple places because it’s a bit messy, but it’s like, Okay, but I have no idea what is your what is Delivery Commission? So no. And then I figure out that we need some other columns in here as well. So it’s like something in progress. Right? It’s it’s it’s alive, let’s say.
389 00:56:59.020 ⇒ 00:57:02.269 Caio Velasco: And then the rest of the things you get from from
390 00:57:02.400 ⇒ 00:57:05.189 Caio Velasco: from when you log in to the website, like
391 00:57:05.754 ⇒ 00:57:18.490 Caio Velasco: schedule type frequency. Some ingestion shoes have frequency when they extract and also frequency when they send to the destination some others they don’t. So this is
392 00:57:19.188 ⇒ 00:57:28.419 Caio Velasco: organism, like a live organism that we had maybe like 5 columns. And now we have like 10. And it’s important, because at least we are mapping everything right?
393 00:57:29.040 ⇒ 00:57:40.920 Caio Velasco: And then we go into details in the like that table level, because they want us to go over all tables and see duplicates, etc. It’s heavy work, but at least this
394 00:57:41.672 ⇒ 00:58:02.820 Caio Velasco: it’s something that also maps, everything, and the way that I’ve been doing well from following the passion about courser I logged into Hevo, and there was a lot of table a lot of connections, lots of tables. And I was like, I’m not gonna spend like a hundred hours. So you probably won’t pay me for those 100 h if I spend like each one of them.
395 00:58:02.820 ⇒ 00:58:16.519 Caio Velasco: So I was able to connect to an Api. Well, I have connected Apis before, but just personal projects. But this one more professional logging in everything. So then, basically, AI helping me do the job.
396 00:58:16.610 ⇒ 00:58:22.000 Caio Velasco: take a bit of time because I don’t know how to do it, but now it’s done so it was possible.
397 00:58:22.220 ⇒ 00:58:23.250 Caio Velasco: and then
398 00:58:23.450 ⇒ 00:58:28.450 Caio Velasco: for the other one, for for example, I haven’t played here yet, but I’m doing the stitch one
399 00:58:28.929 ⇒ 00:58:41.059 Caio Velasco: the stitch. They don’t have an Api. So I have to like, okay script. There was an idea. So I also was doing that. And it’s also possible to do that with AI, you really learn quickly again.
400 00:58:41.170 ⇒ 00:58:50.009 Caio Velasco: And the AI does the hard work usually. So yeah, so this is definitely possible. It’s changing how I work every day.
401 00:58:50.648 ⇒ 00:59:07.649 Caio Velasco: And then, yeah. And then the idea from here to the right is basically to, you know, at some point it would be in the destination in the warehouse, and that’s controlled by Dbt. Is orchestrated by Dbt. So we want to have something related to the lineage and map everything until we get to the dashboards
402 00:59:08.146 ⇒ 00:59:15.880 Caio Velasco: and all dashboards, and see if you wanna also have the the metrics would be here in in the 1st one here, just an overview of dashboards.
403 00:59:16.090 ⇒ 00:59:17.570 Caio Velasco: stakeholders.
404 00:59:17.950 ⇒ 00:59:29.579 Caio Velasco: And then here is just because well, every time we start it’s because with urban stamp. They were really quick and giving access. But usually this is a bit messy in the beginning. So at least we know who has access to what.
405 00:59:29.850 ⇒ 00:59:44.339 Caio Velasco: So, yeah, this is like the like, I was seeing the data platform when I started, like few months ago. But now that I’m working with it, I can see like how it can grow and how it was also with some wrong assumptions. And now I have, like, okay, better assumption.
406 00:59:44.490 ⇒ 00:59:46.620 Caio Velasco: So yeah, that’s that’s basically it.
407 00:59:49.010 ⇒ 00:59:53.240 Uttam Kumaran: Yeah, look, I could cry watching this like, I’m very so happy.
408 00:59:53.500 ⇒ 00:59:59.009 Uttam Kumaran: So I’m happy about several things. One, exactly. The last thing you said, is like
409 00:59:59.320 ⇒ 01:00:25.830 Uttam Kumaran: for me to see the vision turn into your reality on. It is like really, really great. Now, as I described, I think, I said, that 1st 20 is, gonna be hard. And I think now it’s really amazing to see you apply this across all of our clients, and now even immediately move to then automating parts of it right? Which is the natural step, is like we do it manually a couple of times. And then we find out, okay, like.
410 01:00:25.980 ⇒ 01:00:39.014 Uttam Kumaran: this is harder, like, how do we scrape something or pull something? So yeah, my only question was, gonna be I wonder if we can run those scrapes on some schedule
411 01:00:39.570 ⇒ 01:00:43.970 Uttam Kumaran: to auto populate these but I even think that
412 01:00:44.830 ⇒ 01:01:00.480 Uttam Kumaran: running, those like being us being able to say, Hey, we just need your Api keys from your Etl tools. We’ll scrape all this and produce this audit sheet within a few days is a huge value. Add, it’s not something that any other sort of consultancy can do.
413 01:01:01.120 ⇒ 01:01:11.189 Uttam Kumaran: So I’m very excited. I still think that Google Sheets is. I don’t know if you agree with me. Still, probably the best form factor for this. I don’t think notion is like.
414 01:01:11.400 ⇒ 01:01:15.420 Uttam Kumaran: I don’t know. Some, I think, like every client is, gonna have Google sheets?
415 01:01:15.936 ⇒ 01:01:22.530 Uttam Kumaran: And I think it’s simple enough. Ideally, this should end up in some like database and like a query or something. But like.
416 01:01:22.890 ⇒ 01:01:25.489 Uttam Kumaran: I think this hits, checks all the boxes.
417 01:01:26.021 ⇒ 01:01:40.449 Uttam Kumaran: and every client when we start with we put together one of these. So this is sort of we’ll have our playbooks, everything, all these tabs here is a deliverable from us, you know. So yeah, no, really, really impressive.
418 01:01:41.680 ⇒ 01:02:02.020 Caio Velasco: Thank you. Thank you. Yeah, that this is this can definitely be automated. I mean, it’s already a bit. So as long as we keep you know the format, and we respect the format, and we run the the scripts you know we will have. We will know how to go through. You know, most ingestion tools. So definitely like with time, I think we have a very nice product. Let’s say.
419 01:02:02.300 ⇒ 01:02:02.990 Caio Velasco: Okay.
420 01:02:06.030 ⇒ 01:02:09.123 Caio Velasco: I know that is looking at the clock.
421 01:02:10.070 ⇒ 01:02:11.900 Demilade Agboola: Oh, yeah, I’m just.
422 01:02:12.080 ⇒ 01:02:18.780 Demilade Agboola: But to be fair, like all these Demos have been really impressive. It’s great to see like how far along we’ve come, in short, in
423 01:02:19.480 ⇒ 01:02:28.670 Demilade Agboola: shortly, short time, because literally, I joined in March. This is me, and I can literally tell you that there have been huge steps in that like 2 month period. So that’s
424 01:02:28.810 ⇒ 01:02:31.720 Demilade Agboola: that’s really amazing to see. To be honest.
425 01:02:34.880 ⇒ 01:02:38.641 Uttam Kumaran: Yeah, and credit to you guys to for taking the ball and running with it. You know, I know.
426 01:02:39.020 ⇒ 01:02:46.709 Uttam Kumaran: it’s sometimes hard to get the vision for me, or from even to look at like what are all our clients doing? And so I know it’s been
427 01:02:46.840 ⇒ 01:02:54.440 Uttam Kumaran: painful at times, but I, I really appreciate like taking what we have and just saying, Okay, let’s run with it and let’s move the ball forward. So.
428 01:03:00.240 ⇒ 01:03:02.540 Amber Lin: Can we do? Shout outs.
429 01:03:03.990 ⇒ 01:03:10.880 Demilade Agboola: Sure. I just wanted to know. Did did we want to touch on on stretch possibilities this week
430 01:03:11.140 ⇒ 01:03:11.950 Demilade Agboola: before? Shut off.
431 01:03:11.950 ⇒ 01:03:12.280 Uttam Kumaran: Then we can.
432 01:03:12.634 ⇒ 01:03:14.759 Amber Lin: None of it has really changed.
433 01:03:15.300 ⇒ 01:03:15.890 Demilade Agboola: Oh, okay.
434 01:03:15.890 ⇒ 01:03:16.760 Amber Lin: Yeah, so.
435 01:03:18.140 ⇒ 01:03:22.200 Demilade Agboola: So shout out, all right, let me yeah.
436 01:03:22.890 ⇒ 01:03:41.530 Amber Lin: I can just say mine. I didn’t have time to put it in. I want to shout out Kyle, for so quickly taking our rinse times and making so much progress on there already. We started like 2 days, 2, 3 days ago, and he’s already up and running so very impressed
437 01:03:41.980 ⇒ 01:03:48.849 Amber Lin: and already applying our data platform stuff and bring a lot of structure to that team. So really appreciate that.
438 01:03:56.252 ⇒ 01:04:01.430 Demilade Agboola: Shout out to Kyle for adopting AI head on.
439 01:04:01.620 ⇒ 01:04:04.159 Demilade Agboola: so that’s another I’m really not sure of now.
440 01:04:04.801 ⇒ 01:04:10.830 Demilade Agboola: Shout outs to Raymond. It says kudos to you for providing high quality outputs.
441 01:04:11.522 ⇒ 01:04:18.960 Demilade Agboola: And that’s what I have in the sheets right now. But you could still send, or potentially. If you really want to shout out, you could do it right here right now.
442 01:04:19.260 ⇒ 01:04:22.340 Demilade Agboola: That’s also a possibility.
443 01:04:25.284 ⇒ 01:04:32.939 Demilade Agboola: I actually want to shout out Annie, because Annie has been turning out on dashboards and has been for on the Aiden project. It’s been
444 01:04:33.330 ⇒ 01:04:42.889 Demilade Agboola: amazing. Working with her and the outputs she’s been given. Even the clients have been like very happy with turnaround time, and the quality.
445 01:04:49.690 ⇒ 01:04:55.519 Uttam Kumaran: Yeah, I I just submitted one, but I was gonna shout out to Annie to Luke.
446 01:04:56.128 ⇒ 01:05:07.569 Uttam Kumaran: and to Casey just for being intima stop, but just for being like silent killers, I think you know it’s of some of some of us.
447 01:05:08.002 ⇒ 01:05:33.757 Uttam Kumaran: Aka me are more vocal than than others, and so I know it’s not easy sometimes to share all the stuff you’re doing, or you may feel like nobody’s recognizing but everybody’s seeing your work, and in fact, like no in this business, like no news, is good news, to be honest. So I’m I I notice all the stuff that you guys are doing. And I think every week someone gets a spotlight. But I appreciate all the all the hard work
448 01:05:34.280 ⇒ 01:05:36.540 Uttam Kumaran: to keep the the ship moving. So.
449 01:05:41.040 ⇒ 01:05:55.100 Annie Yu: I also wanted to shout out to demote Robert’s out this week, and even I guess that’s a good thing like Eden. Multiple stakeholders like always want to like ask something from us. And Demo, this
450 01:05:55.100 ⇒ 01:06:13.360 Annie Yu: being like playing such a big role as like a bridge. And I like at 1 point, I told him, like I have to protect my emotion state like, I’m not gonna be able to like. Answer every question, but I feel like he. He just doesn’t sleep for these few days. So thank you.
451 01:06:15.910 ⇒ 01:06:24.600 Demilade Agboola: I need to sleep more. I literally am surviving after 3 h of sleep. Right now, as we speak, I think I need. I think I need to figure out how to sleep better. But yeah.
452 01:06:24.600 ⇒ 01:06:27.480 Uttam Kumaran: Do a quick nap, quick! Nap.
453 01:06:37.290 ⇒ 01:06:43.080 Demilade Agboola: Okay, if we don’t have any more shout outs, I guess we could call it a day.
454 01:06:44.630 ⇒ 01:06:45.450 Uttam Kumaran: Perfect.
455 01:06:46.450 ⇒ 01:06:52.110 Demilade Agboola: Alright then, thanks everyone. This was great. It was fun hosting. Actually, you know.
456 01:06:52.110 ⇒ 01:06:53.479 Uttam Kumaran: Thank you for hosting.
457 01:06:53.600 ⇒ 01:06:54.579 Uttam Kumaran: I don’t know who nominates.
458 01:06:54.580 ⇒ 01:06:58.363 Amber Lin: He’s all on it.
459 01:06:59.310 ⇒ 01:07:04.489 Uttam Kumaran: These have all been really, really amazing. Better one, everything better than the next, glad everybody’s taking it
460 01:07:04.950 ⇒ 01:07:06.099 Uttam Kumaran: in stride. So.
461 01:07:08.960 ⇒ 01:07:10.030 Amber Lin: Alright!
462 01:07:10.030 ⇒ 01:07:10.450 Demilade Agboola: Thank you.
463 01:07:12.970 ⇒ 01:07:13.390 Amber Lin: Thank you.
464 01:07:13.390 ⇒ 01:07:14.070 Amber Lin: You know.
465 01:07:14.070 ⇒ 01:07:14.430 Caio Velasco: Thank you.