Meeting Title: Friday Brainforge Demos & Retro Date: 2025-06-27 Meeting participants: Luke Daque, Uttam Kumaran, Anne, Mustafa Raja, Awaish Kumar, Hannah Wang, Raymund Verzosa, Demilade Agboola, Ryan Brosas, Amber Lin
WEBVTT
1 00:00:26.390 ⇒ 00:00:27.810 Uttam Kumaran: Hello!
2 00:00:28.530 ⇒ 00:00:29.030 Mustafa Raja: Hey!
3 00:00:30.410 ⇒ 00:00:31.600 Anne: Hey, guys.
4 00:00:31.940 ⇒ 00:00:32.920 Uttam Kumaran: Hi.
5 00:00:37.040 ⇒ 00:00:38.410 Awaish Kumar: Hello!
6 00:00:39.980 ⇒ 00:00:41.240 Uttam Kumaran: Hi.
7 00:01:46.630 ⇒ 00:01:48.719 Awaish Kumar: How has been the week? Autom.
8 00:01:50.740 ⇒ 00:01:54.284 Uttam Kumaran: Week has been good. I’m gonna talk a little bit about it
9 00:01:56.520 ⇒ 00:02:00.010 Uttam Kumaran: today. But we met. We’ve met with several.
10 00:02:00.160 ⇒ 00:02:05.229 Uttam Kumaran: my clients and partners already. And then today, I’m meeting with a few more.
11 00:02:07.090 ⇒ 00:02:08.850 Uttam Kumaran: It’s been really good. Yeah.
12 00:02:12.820 ⇒ 00:02:22.170 Uttam Kumaran: I think this month we’ve had a lot of really good progress on sales. And so a lot of what is on my mind is, how do we keep like the acceleration there?
13 00:02:22.666 ⇒ 00:02:25.599 Uttam Kumaran: But yeah, overall it’s been. It’s been really good.
14 00:02:27.140 ⇒ 00:02:28.200 Uttam Kumaran: A teenager.
15 00:02:28.730 ⇒ 00:02:29.100 Awaish Kumar: Right.
16 00:02:30.230 ⇒ 00:02:31.670 Hannah Wang: Are you with Robert?
17 00:02:32.450 ⇒ 00:02:35.474 Hannah Wang: Yes, he’s here.
18 00:02:36.600 ⇒ 00:02:38.229 Hannah Wang: Wow! That’s crazy!
19 00:02:39.950 ⇒ 00:02:42.130 Uttam Kumaran: I can get off my
20 00:02:54.920 ⇒ 00:02:56.245 Uttam Kumaran: roommates.
21 00:03:01.750 ⇒ 00:03:06.559 Uttam Kumaran: Wait, is it just 1? 0, I see everyone’s here. But it’s just Hannah’s video.
22 00:03:14.270 ⇒ 00:03:14.920 Uttam Kumaran: Hello.
23 00:03:16.230 ⇒ 00:03:17.560 Amber Lin: Bye.
24 00:03:36.900 ⇒ 00:03:39.789 Anne: Hi, guys, so should we start? Now.
25 00:03:40.500 ⇒ 00:03:41.380 Uttam Kumaran: Yeah, yeah.
26 00:03:41.380 ⇒ 00:03:42.310 Anne: Yeah, okay.
27 00:03:53.910 ⇒ 00:04:02.790 Anne: so Hi, guys, good morning. So I’m your host today. So oops, it’s this.
28 00:04:04.650 ⇒ 00:04:06.840 Anne: can you see my screen? Sorry.
29 00:04:07.990 ⇒ 00:04:08.620 Demilade Agboola: Yes.
30 00:04:08.620 ⇒ 00:04:12.289 Anne: Yeah, okay? Cause there’s a notification.
31 00:04:13.750 ⇒ 00:04:24.550 Anne: Anyway. We can start off with the icebreaker. So this icebreakers, what they call is keepy upp.
32 00:04:24.910 ⇒ 00:04:29.818 Anne: it’s just simple. So maybe you guys can just show
33 00:04:30.450 ⇒ 00:04:35.339 Anne: one item on your desk that you’d save if everything started floating away.
34 00:04:38.220 ⇒ 00:04:40.269 Anne: Maybe they’re just random stuff.
35 00:04:43.660 ⇒ 00:04:44.590 Uttam Kumaran: Save.
36 00:04:44.590 ⇒ 00:04:48.939 Anne: Yeah. And yeah, so maybe I can, I’ll go first.st
37 00:04:49.450 ⇒ 00:04:50.630 Anne: Mine.
38 00:04:51.262 ⇒ 00:04:54.780 Anne: Mine is a nose inhaler this one.
39 00:04:55.960 ⇒ 00:04:57.293 Anne: Yeah. So
40 00:04:58.170 ⇒ 00:05:05.179 Anne: even if I don’t have colds or blood nose. Just use it. I don’t know. I’m just addicted to it. So
41 00:05:05.670 ⇒ 00:05:08.030 Anne: kind of I don’t know if it’s like
42 00:05:08.300 ⇒ 00:05:11.600 Anne: of vaping or something. But yeah.
43 00:05:12.290 ⇒ 00:05:13.890 Amber Lin: That’s amazing.
44 00:05:16.880 ⇒ 00:05:21.049 Uttam Kumaran: Robert is looking for something. I’m not at my desk, but at my desk.
45 00:05:25.840 ⇒ 00:05:29.309 Uttam Kumaran: Well, I I usually have something I can like, fidget with.
46 00:05:29.520 ⇒ 00:05:37.859 Uttam Kumaran: especially if I start drinking coffee like either my like legs start shaking, or I need to do something with my hands. So I have, like a.
47 00:05:38.190 ⇒ 00:05:40.900 Uttam Kumaran: I have a stress ball, and I have like one of those
48 00:05:41.948 ⇒ 00:05:45.239 Uttam Kumaran: like strip strength training things.
49 00:05:45.360 ⇒ 00:05:46.979 Uttam Kumaran: I bought a pack on Amazon.
50 00:05:47.590 ⇒ 00:05:56.930 Uttam Kumaran: I’m like, Hey, this is like going. I’m like going to the gym during this meeting. That’s nice. So I usually have that and like.
51 00:05:57.100 ⇒ 00:06:10.409 Uttam Kumaran: otherwise, I get so distracted. And then, because some of the some meetings are like, not our company, some sales, meetings and stuff are really boring. And so I just like need to do something else during it. But I don’t wanna like.
52 00:06:10.670 ⇒ 00:06:16.180 Uttam Kumaran: go on my laptop. It’ll be pretty obvious. So I just need to like fidge it with something. And like, yeah, so
53 00:06:16.760 ⇒ 00:06:17.920 Uttam Kumaran: yeah, what do you have?
54 00:06:18.600 ⇒ 00:06:25.515 Uttam Kumaran: Okay? You know, I you know, I was gonna play it safe and just say, chapstick, but I’ll be real. I’ll be
55 00:06:26.220 ⇒ 00:06:27.330 Uttam Kumaran: so.
56 00:06:28.700 ⇒ 00:06:42.768 Uttam Kumaran: Yeah, but this is like a nail clipper. So sometimes when I get bored during sometimes when I get bored during meetings, I’ll cut my nail.
57 00:06:43.310 ⇒ 00:06:52.189 Hannah Wang: So you’re just exposing yourself when you look down. Odds are clipping your nails in me.
58 00:06:52.190 ⇒ 00:07:02.195 Uttam Kumaran: Yeah, I am. I am. So I’m just sitting real. You guys ever see me looking down? I’m probably just like you should call me out on it. But that’s kind of smart.
59 00:07:03.410 ⇒ 00:07:05.040 Uttam Kumaran: Everybody has something
60 00:07:10.840 ⇒ 00:07:13.470 Uttam Kumaran: amber. What’s yours? Phone.
61 00:07:13.470 ⇒ 00:07:18.089 Amber Lin: I’m not. I was my phone. I was not at my desk today, but.
62 00:07:18.090 ⇒ 00:07:19.140 Uttam Kumaran: This is not.
63 00:07:19.140 ⇒ 00:07:20.509 Amber Lin: Right. This is.
64 00:07:21.010 ⇒ 00:07:26.089 Amber Lin: This is my girlfriend’s. She has. I don’t know if you guys see this.
65 00:07:26.090 ⇒ 00:07:27.350 Uttam Kumaran: Like a sword.
66 00:07:28.160 ⇒ 00:07:28.850 Uttam Kumaran: What!
67 00:07:28.850 ⇒ 00:07:29.820 Amber Lin: Yeah.
68 00:07:30.610 ⇒ 00:07:37.999 Amber Lin: this is a this is, I think her parents got her a few years ago. This is really long.
69 00:07:38.000 ⇒ 00:07:38.420 Uttam Kumaran: Favors.
70 00:07:38.420 ⇒ 00:07:41.740 Amber Lin: Favorite yes.
71 00:07:41.740 ⇒ 00:07:42.159 Anne: Oh!
72 00:07:43.205 ⇒ 00:07:48.760 Amber Lin: Nice, so well, it’s pretty cool.
73 00:07:51.890 ⇒ 00:07:56.020 Hannah Wang: I’m also not at my desk, but even at my desk there’s nothing
74 00:07:56.410 ⇒ 00:08:03.359 Hannah Wang: cool, so I’ll just say I’ll take my Walla cause I need water all the time.
75 00:08:03.500 ⇒ 00:08:06.319 Hannah Wang: Amber, I saw you had one, too. Is that new?
76 00:08:06.540 ⇒ 00:08:09.500 Hannah Wang: Oh, my gosh! You have one too dude! It’s the new hire.
77 00:08:09.500 ⇒ 00:08:11.980 Uttam Kumaran: My house is like 3 or 4 of them, because I,
78 00:08:12.160 ⇒ 00:08:17.300 Uttam Kumaran: my girlfriend, likes them, and then I lost one, and she just bought me another one.
79 00:08:18.650 ⇒ 00:08:19.550 Hannah Wang: That sounds like.
80 00:08:21.450 ⇒ 00:08:23.060 Uttam Kumaran: True. Yeah, I just.
81 00:08:23.060 ⇒ 00:08:23.760 Hannah Wang: There was a client.
82 00:08:23.760 ⇒ 00:08:28.620 Uttam Kumaran: Straws. I like his straw. I don’t really like to drink from the
83 00:08:29.220 ⇒ 00:08:32.650 Uttam Kumaran: thing anymore. And I bought metal straws off Amazon, too.
84 00:08:33.260 ⇒ 00:08:38.159 Uttam Kumaran: I drink everything out of straw. It’s way. Better lifestyle. Yeah.
85 00:08:38.260 ⇒ 00:08:39.700 Uttam Kumaran: Good for your teeth.
86 00:08:41.760 ⇒ 00:08:49.700 Uttam Kumaran: What? Why, if you’re drinking coffee, you want it to directly stain, I see. I see. Not like I’m like doing a fashion show or something. But yeah.
87 00:08:50.000 ⇒ 00:08:51.919 Uttam Kumaran: that’s a side nice side effect.
88 00:08:52.050 ⇒ 00:08:52.870 Uttam Kumaran: Yeah.
89 00:08:53.690 ⇒ 00:08:57.220 Hannah Wang: But I heard it causes wrinkles. I don’t know if that’s true.
90 00:08:57.960 ⇒ 00:09:01.340 Hannah Wang: Sucking from a straw, apparently.
91 00:09:01.620 ⇒ 00:09:02.370 Uttam Kumaran: F.
92 00:09:04.550 ⇒ 00:09:07.950 Uttam Kumaran: I don’t know if I could avoid the wrinkles. Anyways.
93 00:09:10.840 ⇒ 00:09:13.666 Uttam Kumaran: I’m in the sun all the time.
94 00:09:15.720 ⇒ 00:09:17.399 Hannah Wang: Wait what I would say.
95 00:09:17.400 ⇒ 00:09:25.044 Uttam Kumaran: Yeah of a wall is, gonna be a bottle that shoots the water in. So you don’t even have to like suck on it anymore.
96 00:09:29.220 ⇒ 00:09:30.209 Uttam Kumaran: Sorry you were saying.
97 00:09:31.150 ⇒ 00:09:36.520 Demilade Agboola: Oh, no, I just said you win some. You lose some, you know, like that’s weird
98 00:09:37.710 ⇒ 00:09:46.130 Demilade Agboola: to the icebreaker. This is. I have a puzzle that my girlfriend got me she’ll let me try and
99 00:09:46.890 ⇒ 00:09:58.419 Demilade Agboola: not blowing my background. But it’s a puzzle where you fill in numbers. Basically. So it’s not just like a puzzle, but like it’s empty, and you kind of have to figure out where the numbers go.
100 00:09:58.780 ⇒ 00:09:59.569 Uttam Kumaran: Takes it out.
101 00:10:00.950 ⇒ 00:10:01.920 Demilade Agboola: Yeah.
102 00:10:02.150 ⇒ 00:10:04.269 Amber Lin: This is like crosswords, but.
103 00:10:04.270 ⇒ 00:10:05.909 Demilade Agboola: Like with numbers, numbers.
104 00:10:07.200 ⇒ 00:10:09.625 Uttam Kumaran: Good for customers, but for freaks.
105 00:10:11.410 ⇒ 00:10:12.390 Demilade Agboola: But then again.
106 00:10:14.210 ⇒ 00:10:16.876 Uttam Kumaran: I don’t even know like how you what.
107 00:10:18.310 ⇒ 00:10:27.460 Demilade Agboola: I mean. So the trick is, you kind of figure out what numbers intersect. So you kind of go like, okay? Then I don’t know how to explain. But basically they’re like.
108 00:10:27.460 ⇒ 00:10:29.210 Uttam Kumaran: Kind of like sudoku.
109 00:10:29.210 ⇒ 00:10:40.480 Demilade Agboola: Yeah, sort of. So you kind of have to figure out like, okay, this is the number, the 7. This had the possible spaces where 7 numbers could fit in a row. These are the possible 7 digit numbers, and this is where the intercept.
110 00:10:40.881 ⇒ 00:10:42.889 Uttam Kumaran: It’s like crosswords for numbers.
111 00:10:42.890 ⇒ 00:10:58.140 Demilade Agboola: Yeah. So you kind of think, like, Oh, this is the 3rd number. And this is so. This will be the 3rd number, and another 3 digits number. These are the 3 digit numbers. What are the possible intersections that exist within? Like you’re just kind of like knocking that off until you find out like, okay, so this is the only basic bits.
112 00:10:58.400 ⇒ 00:11:03.520 Demilade Agboola: So I like playing sudoku, too. So I guess it was just she just saw this. I was like he’ll definitely love this.
113 00:11:03.520 ⇒ 00:11:05.179 Uttam Kumaran: Have you played minesweeper.
114 00:11:05.790 ⇒ 00:11:06.890 Demilade Agboola: Oh, yeah. Yeah.
115 00:11:06.890 ⇒ 00:11:16.239 Uttam Kumaran: Yeah, dude. I was big. I was like addicted to minesweeper. Is there even a strategy on that one? There’s partly statistics.
116 00:11:17.170 ⇒ 00:11:17.950 Demilade Agboola: Yeah, yeah.
117 00:11:17.950 ⇒ 00:11:20.090 Uttam Kumaran: Some levels there is probability. But
118 00:11:20.440 ⇒ 00:11:25.299 Uttam Kumaran: when you play small or medium, you can win every time it’s like the large.
119 00:11:26.100 ⇒ 00:11:32.349 Uttam Kumaran: it’s like, like you’ll get a a corner where you’re like. I have to guess like you sort of have to just understand.
120 00:11:32.350 ⇒ 00:11:33.730 Luke Daque: What’s your best time?
121 00:11:34.990 ⇒ 00:11:44.190 Uttam Kumaran: Oh, dude! I have it written down in my parents house somewhere. I’ve done the mini, the mini minesweeper, very fast, like couple of seconds.
122 00:11:44.440 ⇒ 00:11:45.230 Luke Daque: Yeah.
123 00:11:46.030 ⇒ 00:11:47.460 Uttam Kumaran: Because you get lucky.
124 00:11:47.650 ⇒ 00:11:48.210 Uttam Kumaran: Yeah.
125 00:11:48.210 ⇒ 00:11:48.720 Uttam Kumaran: So there’s a lot
126 00:11:48.740 ⇒ 00:12:02.465 Uttam Kumaran: every time I’ve completed it. No, no, no, you don’t get lucky. You get lucky in that you sometimes it clears like a lot, but like no, there’s skill, that’s their skill. I’ll show you how we can play after this.
127 00:12:04.700 ⇒ 00:12:10.469 Uttam Kumaran: and then you can just quickly do like control end. To start a new one. Is you just like click, click, click, alright, no. Next one. Next one. Next one.
128 00:12:10.730 ⇒ 00:12:14.780 Uttam Kumaran: Yeah, all right.
129 00:12:14.780 ⇒ 00:12:16.290 Luke Daque: Mine’s a Rubik’s cube.
130 00:12:16.420 ⇒ 00:12:18.420 Luke Daque: So this is my fidget thing.
131 00:12:19.359 ⇒ 00:12:24.849 Luke Daque: So yeah, like I I don’t know, like I already mentioned, I I think before like this is one.
132 00:12:24.850 ⇒ 00:12:26.209 Amber Lin: How do you got it?
133 00:12:26.210 ⇒ 00:12:27.300 Amber Lin: One hand.
134 00:12:27.300 ⇒ 00:12:29.550 Amber Lin: Yeah, you can do it with one hand.
135 00:12:29.550 ⇒ 00:12:31.620 Uttam Kumaran: It’s a speed cube. So it’s like, very like.
136 00:12:34.560 ⇒ 00:12:39.540 Demilade Agboola: Does it? Does it allow for corner cutting like? Does it allow you to cut corners before it’s fully set.
137 00:12:39.780 ⇒ 00:12:44.399 Luke Daque: Yeah, you can. You can cut corners like this. And then, oh, you can’t see it. But yeah.
138 00:12:44.460 ⇒ 00:12:47.839 Demilade Agboola: I had a Rubik’s cube face, too, so that that’s.
139 00:12:47.840 ⇒ 00:12:51.809 Uttam Kumaran: You ever had it explode on you, Luke, because mine exploded once.
140 00:12:51.950 ⇒ 00:12:54.949 Luke Daque: Yeah, it sometimes does. Like if you’re if you’re like.
141 00:12:55.300 ⇒ 00:13:04.006 Uttam Kumaran: Mad, aggressive, super aggressive like, and then it, like physically, couldn’t go anywhere to chips was like exploded.
142 00:13:05.800 ⇒ 00:13:14.419 Luke Daque: I got addicted to this during the pandemic I I went full like addict mode and speed, queuing, trying to get like the best times, ever or whatever.
143 00:13:14.760 ⇒ 00:13:15.770 Luke Daque: But yeah.
144 00:13:15.930 ⇒ 00:13:17.280 Demilade Agboola: How, how fast do you go?
145 00:13:18.581 ⇒ 00:13:22.450 Luke Daque: I guess my best time was like 9 seconds or something.
146 00:13:23.890 ⇒ 00:13:25.030 Amber Lin: Can’t.
147 00:13:25.330 ⇒ 00:13:27.830 Demilade Agboola: That’s pretty good. I’m still like 37.
148 00:13:28.280 ⇒ 00:13:34.687 Uttam Kumaran: Yeah, my best time was like 31 seconds.
149 00:13:35.400 ⇒ 00:13:35.820 Luke Daque: The world.
150 00:13:36.734 ⇒ 00:13:41.305 Uttam Kumaran: Stick to the nail clip.
151 00:13:42.680 ⇒ 00:13:44.060 Uttam Kumaran: What’s the world.
152 00:13:44.060 ⇒ 00:13:46.239 Luke Daque: I have that, too, actually the same.
153 00:13:49.120 ⇒ 00:13:50.130 Luke Daque: I have a bad.
154 00:13:50.130 ⇒ 00:13:53.214 Uttam Kumaran: One hand like this one hand nail, clipping.
155 00:13:54.520 ⇒ 00:13:59.059 Luke Daque: Like I. I used to like, bite my nails a lot. And like I realize it’s because, like of the.
156 00:13:59.060 ⇒ 00:13:59.770 Uttam Kumaran: Yeah.
157 00:13:59.770 ⇒ 00:14:04.160 Luke Daque: Like imperfections or fixation. Yeah, so I got like a nail clipper and like
158 00:14:04.270 ⇒ 00:14:10.599 Luke Daque: a nail like, what do you call this? A file or something. Yeah, so yeah, that’s like
159 00:14:13.030 ⇒ 00:14:15.040 Luke Daque: my bad habit, I guess.
160 00:14:16.980 ⇒ 00:14:18.389 Uttam Kumaran: So who else is on the meeting?
161 00:14:19.050 ⇒ 00:14:26.350 Uttam Kumaran: Awaish, or I mean awaish Mustafa Ray, I mean, I feel like Ray probably has something.
162 00:14:28.890 ⇒ 00:14:29.400 Mustafa Raja: Yeah.
163 00:14:29.400 ⇒ 00:14:34.749 Awaish Kumar: I don’t have anything and see. I just need my slack personal space
164 00:14:35.040 ⇒ 00:14:39.736 Awaish Kumar: where I write down my notes during the day.
165 00:14:40.710 ⇒ 00:14:42.550 Uttam Kumaran: Do? What using.
166 00:14:46.788 ⇒ 00:14:49.339 Awaish Kumar: I like slack personal space right where I.
167 00:14:49.340 ⇒ 00:14:50.260 Uttam Kumaran: Oh!
168 00:14:50.260 ⇒ 00:14:54.120 Awaish Kumar: Okay, great throw there. Whatever is in my is in my mind.
169 00:14:54.330 ⇒ 00:14:56.300 Awaish Kumar: and you can go back to that.
170 00:14:56.300 ⇒ 00:15:06.383 Uttam Kumaran: Yeah, you can. DM, yourself like I. I tend to do that a lot, too. I mean, I’m there’s nobody send. There’s no one sends you message back, which it would be nice but
171 00:15:07.910 ⇒ 00:15:08.800 Uttam Kumaran: nice.
172 00:15:08.800 ⇒ 00:15:15.690 Mustafa Raja: Yeah, my desk is mostly empty. It’s just my my laptop and some screens over there, so I’ll just pick up my laptop.
173 00:15:16.440 ⇒ 00:15:21.949 Uttam Kumaran: But is there anything like? Do you listen to music, or how do you like get even like slightly? Do you get distracted.
174 00:15:22.770 ⇒ 00:15:31.039 Mustafa Raja: Yeah, so for that, I have, I usually listen to brown noise on Youtube to not get distracted.
175 00:15:31.810 ⇒ 00:15:58.040 Uttam Kumaran: Like a robot. Brown noise is like this, like certain Hertz frequency. And there’s a lot of studies around white like it’s not white noise but brown noise. There’s like a pink noise. It’s these specific Hertz, that apparently like helps get your brain into a certain state. So if you go on Youtube, you’ll find like brown noise, 24 h like brown noise, and it’ll be like a slight hum.
176 00:15:58.230 ⇒ 00:16:05.159 Uttam Kumaran: and apparently like the frequency like interact with their brain in a certain way interesting to like, put you in a relaxed mood. Yeah, yeah.
177 00:16:07.830 ⇒ 00:16:08.820 Uttam Kumaran: nice.
178 00:16:12.400 ⇒ 00:16:13.310 Raymund Verzosa: Hey?
179 00:16:13.450 ⇒ 00:16:15.100 Raymund Verzosa: I guess mine would.
180 00:16:16.500 ⇒ 00:16:24.900 Raymund Verzosa: This is a portable coffee mug, because I drink a lot of coffee, and if I want to work like somewhere else. I just
181 00:16:25.260 ⇒ 00:16:29.140 Raymund Verzosa: I just make myself a coffee and go with it.
182 00:16:29.370 ⇒ 00:16:31.329 Uttam Kumaran: Does it have a lid like? Does it have a little thing.
183 00:16:31.330 ⇒ 00:16:34.190 Raymund Verzosa: Yeah, it’s like, you can carry it like this.
184 00:16:34.410 ⇒ 00:16:36.000 Uttam Kumaran: Say.
185 00:16:36.000 ⇒ 00:16:36.530 Amber Lin: No.
186 00:16:37.130 ⇒ 00:16:37.480 Raymund Verzosa: Yeah.
187 00:16:37.480 ⇒ 00:16:41.190 Uttam Kumaran: Oh, oh, oh, nice, nice!
188 00:16:41.830 ⇒ 00:16:45.539 Uttam Kumaran: I’ve never seen the handle before. That’s cool. You just drink black coffee.
189 00:16:45.540 ⇒ 00:16:46.095 Raymund Verzosa: Yep.
190 00:16:48.470 ⇒ 00:16:49.330 Raymund Verzosa: Yeah.
191 00:16:50.180 ⇒ 00:16:55.399 Uttam Kumaran: Nice, and that watch tan right.
192 00:16:57.130 ⇒ 00:17:01.201 Uttam Kumaran: Thought you were wearing a watch.
193 00:17:02.260 ⇒ 00:17:12.490 Raymund Verzosa: I’ve been with, I mean, last week we had a shoot in the sun, so it as burnt.
194 00:17:13.440 ⇒ 00:17:15.250 Uttam Kumaran: Oh, yeah, what shoot is it.
195 00:17:15.730 ⇒ 00:17:23.670 Raymund Verzosa: Oh, it’s for my my friends like a prenup shoot, and.
196 00:17:23.670 ⇒ 00:17:23.990 Amber Lin: Oh!
197 00:17:23.990 ⇒ 00:17:27.219 Raymund Verzosa: Yeah, we went to the beach and stuff. So.
198 00:17:27.220 ⇒ 00:17:29.299 Uttam Kumaran: I do like wedding photography now.
199 00:17:30.680 ⇒ 00:17:34.377 Uttam Kumaran: maybe we should offer that as a service.
200 00:17:38.740 ⇒ 00:17:40.370 Uttam Kumaran: Who else is left? Ryan.
201 00:17:42.100 ⇒ 00:17:43.639 Anne: Yeah, right? And.
202 00:17:51.005 ⇒ 00:17:54.259 Uttam Kumaran: You’re not on mute, but your audio is not coming.
203 00:18:00.350 ⇒ 00:18:01.180 Amber Lin: Oh!
204 00:18:01.180 ⇒ 00:18:02.149 Ryan Brosas: Hear me now.
205 00:18:02.540 ⇒ 00:18:03.220 Uttam Kumaran: Yes.
206 00:18:04.133 ⇒ 00:18:26.306 Ryan Brosas: Pretty much. My stuff, I think my pen. I really like to write something down. So I don’t forget stuff. Yeah, I think that’s pretty much it. My pen and a bunch of notebooks. Yeah, I have lots of notebook here.
207 00:18:27.090 ⇒ 00:18:29.000 Ryan Brosas: let me let me share my screen.
208 00:18:32.540 ⇒ 00:18:38.750 Ryan Brosas: Have. Let’s well here, here.
209 00:18:39.760 ⇒ 00:18:40.420 Uttam Kumaran: Nice.
210 00:18:40.740 ⇒ 00:18:47.470 Ryan Brosas: Here. And yeah, I think this weekend I will start reading and start
211 00:18:48.085 ⇒ 00:18:58.970 Ryan Brosas: purchasing a lot of books also. So yeah, the branch thing kind of start like, you know, my interest on reading stuff.
212 00:18:59.780 ⇒ 00:19:01.750 Uttam Kumaran: Nice. That’s like my desk.
213 00:19:02.070 ⇒ 00:19:05.169 Uttam Kumaran: There’s a lot of like it used to be a lot more notebooks.
214 00:19:05.550 ⇒ 00:19:14.189 Uttam Kumaran: but now it’s like a lot of random books. And then, yeah, nice thanks, Sam. That was great.
215 00:19:16.975 ⇒ 00:19:23.070 Anne: Yeah. So thanks for sharing guys. Now to the lab share.
216 00:19:24.180 ⇒ 00:19:27.989 Anne: So what I’ll be sharing today is
217 00:19:28.200 ⇒ 00:19:34.039 Anne: about typography, typeface font letters, characters.
218 00:19:34.420 ⇒ 00:19:37.115 Anne: So I call it type it, right?
219 00:19:37.610 ⇒ 00:19:41.069 Anne: So yeah, what is typography?
220 00:19:41.380 ⇒ 00:19:47.209 Anne: Typography is a style, design, or appearance of text. This includes everything from
221 00:19:48.190 ⇒ 00:19:57.140 Anne: one type, size, texture, spacing. It seems to make text easy to read and understood.
222 00:19:57.380 ⇒ 00:20:03.419 Anne: So there are elements of typography. This is these are the contrast, scale, repetition.
223 00:20:04.450 ⇒ 00:20:13.460 Anne: contrast is pairing opposites together in harmony, like small text with large text, thick and thin typefaces.
224 00:20:13.870 ⇒ 00:20:16.810 Anne: So this contrast, these are the bold
225 00:20:17.540 ⇒ 00:20:25.450 Anne: italic and underlined words that help highlight and emphasize your message
226 00:20:26.340 ⇒ 00:20:33.079 Anne: and scale scales isn’t just about size. It’s also about how design element interact
227 00:20:33.250 ⇒ 00:20:36.139 Anne: and how the overall layout fills this piece.
228 00:20:36.560 ⇒ 00:20:41.269 Anne: So for this one, I think this one is the visual hierarchy.
229 00:20:41.640 ⇒ 00:20:44.400 Anne: It’s what grabs the
230 00:20:45.080 ⇒ 00:20:52.289 Anne: attention 1st in your content. So it shows how your message flows, and how your
231 00:20:52.630 ⇒ 00:20:54.599 Anne: how users read it.
232 00:20:57.020 ⇒ 00:21:10.482 Anne: Repetition. This is less about literally repeating yourself, and more about these and shared elements to convey a cohesive message for this one, I’d say,
233 00:21:12.600 ⇒ 00:21:14.819 Anne: just like when you use line.
234 00:21:15.120 ⇒ 00:21:21.769 Anne: tape or colors. It is repeating the same text that like when these, when the user like, see big
235 00:21:22.000 ⇒ 00:21:27.360 Anne: big volt fix, you know that that it’s a headline.
236 00:21:30.170 ⇒ 00:21:35.163 Anne: So here is a good example and bad example for this one.
237 00:21:35.930 ⇒ 00:21:45.229 Anne: as you can see on the left side, it has a big line height, so it doesn’t really look good, and it’s hard to read. And for this
238 00:21:46.916 ⇒ 00:21:51.080 Anne: the text or the line height is too tight. So.
239 00:21:52.600 ⇒ 00:22:01.819 Anne: and to the right side it’s it’s the idea, text or contact that content that you’d like to.
240 00:22:01.940 ⇒ 00:22:06.859 Anne: I mean, you’re in on displeasing to the eye.
241 00:22:07.120 ⇒ 00:22:08.980 Anne: Yeah, and easy to read.
242 00:22:09.330 ⇒ 00:22:12.590 Anne: And even the spacing. It’s perfect.
243 00:22:13.300 ⇒ 00:22:15.830 Anne: It’s not that thanks.
244 00:22:18.520 ⇒ 00:22:27.740 Anne: So giving voice to design, choosing the right point is essential because, we commit most of our visual attention in any design techniques.
245 00:22:28.600 ⇒ 00:22:33.250 Uttam Kumaran: Different phones are like different tones of voice. So, for example.
246 00:22:34.730 ⇒ 00:22:44.749 Anne: This one the National Bank. I don’t think you will trust this bankers. It uses a comic sense, and it’s really playful.
247 00:22:47.820 ⇒ 00:22:50.340 Anne: Maybe they are scammers, or I don’t know.
248 00:22:50.410 ⇒ 00:22:51.250 Uttam Kumaran: Work.
249 00:22:51.543 ⇒ 00:22:52.129 Anne: That’s it.
250 00:22:53.510 ⇒ 00:22:59.327 Anne: So yeah, so for this one, as you can see in Turkey. You have this like
251 00:23:01.490 ⇒ 00:23:07.680 Anne: art, or something in the text and sophisticated, it’s very clean and minima.
252 00:23:11.950 ⇒ 00:23:16.040 Anne: And as for this one like this.
253 00:23:16.770 ⇒ 00:23:27.430 Anne: this ones or this one type, is maybe great for entertainment, but not for lawyers.
254 00:23:28.760 ⇒ 00:23:36.519 Anne: And then this calligraphy, this fancy layout, may be good for decorating invites.
255 00:23:36.870 ⇒ 00:23:39.650 Anne: but not for an eye doctor.
256 00:23:39.880 ⇒ 00:23:40.610 Anne: So
257 00:23:44.880 ⇒ 00:23:54.139 Anne: font types these are types of font types that we see. So 1, st one is sorry if
258 00:23:54.410 ⇒ 00:24:05.918 Anne: a surf one is a typeface characterized by small lines or strokes called serves. At the end of letters. It was the base for fonts like times, New Roman. It’s
259 00:24:07.150 ⇒ 00:24:14.399 Anne: So you can see there’s a stroke or line at the end of these characters. So that’s that’s when you’re serious.
260 00:24:14.930 ⇒ 00:24:23.899 Anne: So if you’re usually these serif ones are used in banks, jewelers, lawyers.
261 00:24:25.220 ⇒ 00:24:27.669 Anne: and the next one is sensory. If.
262 00:24:28.720 ⇒ 00:24:37.430 Anne: since surf, one is a typeface that does not have small decorative strokes. Hence, and then science means without
263 00:24:37.570 ⇒ 00:24:38.750 Anne: in the French.
264 00:24:39.430 ⇒ 00:24:43.549 Anne: So this one is what we usually have there.
265 00:24:44.971 ⇒ 00:24:49.039 Anne: Nor, I mean, digital space e-commerce
266 00:24:49.570 ⇒ 00:24:53.950 Anne: digital product. So this what we usually use.
267 00:24:57.820 ⇒ 00:25:07.699 Anne: And then next one is display display. Typeface is designed for large size use in titles, headings, and full codes.
268 00:25:10.890 ⇒ 00:25:17.059 Anne: These are the the bulk text that you usually see like has a
269 00:25:17.390 ⇒ 00:25:21.169 Anne: big statement like in the website or in the banner.
270 00:25:21.730 ⇒ 00:25:33.349 Anne: The next is script this trip is I mean, the typeface is to mimic handwriting or calligraphy.
271 00:25:37.620 ⇒ 00:25:49.059 Anne: So nexus. These are the sample logos that uses Srif points epiphany vogue Gucci, prada.
272 00:25:50.050 ⇒ 00:25:52.279 Anne: Next is sam serif.
273 00:25:55.340 ⇒ 00:26:01.520 Uttam Kumaran: I see. Okay, they all look the same. Yeah.
274 00:26:03.660 ⇒ 00:26:16.739 Uttam Kumaran: yeah, is that really the ones on the right? Yeah, the ones on the right are today. Yeah, yeah, these are all these so or like, even, yeah, yeah, yeah, I thought, oh, I didn’t. Well, Meta is a different but ebay, yeah, basically ebay. They just crunch it. Spotify is like that, too.
275 00:26:16.980 ⇒ 00:26:23.250 Uttam Kumaran: But you can see how this is. One thing that’s happening in design. It’s where everybody went from sort of like
276 00:26:23.500 ⇒ 00:26:25.630 Uttam Kumaran: this to more clean.
277 00:26:26.230 ⇒ 00:26:47.110 Uttam Kumaran: And you’re also seeing that in like I feel like in architecture and in a lot of things where it’s like, and even in, I would say, the biggest way. You see, it is sort of in retail, like the common retail locations like Starbucks really pioneered that like wooden clean. There’s a lot of that, I think, is a motion right now. But yes, these are all like what it is right now.
278 00:26:49.700 ⇒ 00:26:50.770 Anne: Yeah, and.
279 00:26:51.480 ⇒ 00:27:02.769 Uttam Kumaran: They look like Ralph Lauren, the Pole, big polo, Ralph Lauren. Oh, I mean, I don’t like I don’t want to wear that. But like Airbnb’s old logo. That was like, that’s cool. Yeah, yeah. Like that. They all look the same. Now.
280 00:27:04.600 ⇒ 00:27:08.220 Anne: And you can actually pair it with any font style.
281 00:27:09.160 ⇒ 00:27:09.880 Uttam Kumaran: Hmm.
282 00:27:09.880 ⇒ 00:27:10.560 Anne: Yeah.
283 00:27:11.320 ⇒ 00:27:15.050 Anne: And these are the examples of display.
284 00:27:17.540 ⇒ 00:27:22.819 Uttam Kumaran: Hmm, so I guess my question is, how did you guys decide on the one that what that we used
285 00:27:23.260 ⇒ 00:27:28.680 Uttam Kumaran: or we use, or what was that sort of like? If you guys did consider options.
286 00:27:30.820 ⇒ 00:27:32.940 Anne: Sorry for Mainforge.
287 00:27:32.980 ⇒ 00:27:37.109 Uttam Kumaran: Yeah, for Brainforge, like, we use a Libra Franklin. Right? So.
288 00:27:39.120 ⇒ 00:27:40.446 Anne: Oh, yeah, yeah.
289 00:27:41.590 ⇒ 00:27:51.079 Anne: Well, as for me, it was when I started here it was they were Franklin, right? And then maybe I
290 00:27:53.110 ⇒ 00:27:58.740 Anne: I feel like it’s old overuse. So
291 00:27:58.900 ⇒ 00:28:03.029 Anne: I don’t know. I switched to Helvetica, new. There’s also one
292 00:28:03.280 ⇒ 00:28:07.690 Anne: one that I like. Also it’s new has display.
293 00:28:08.500 ⇒ 00:28:13.900 Anne: But since it may be difficult to
294 00:28:14.460 ⇒ 00:28:17.220 Anne: get a license with that, so
295 00:28:17.630 ⇒ 00:28:24.009 Anne: I lean towards the Helvedic, and because it’s there are different quant weights
296 00:28:24.220 ⇒ 00:28:28.209 Anne: like the regular light and mold that you can play with.
297 00:28:29.760 ⇒ 00:28:34.350 Anne: And it’s kind of same with the brain form.
298 00:28:34.740 ⇒ 00:28:47.670 Anne: Yeah, because liver Franklin is odd, different from the from our logo, Brian.
299 00:28:48.690 ⇒ 00:28:52.500 Anne: Oh, yeah, and I think it’s more.
300 00:28:52.660 ⇒ 00:28:53.629 Anne: Stay in there.
301 00:28:53.870 ⇒ 00:28:56.000 Anne: Then deliver Franklin.
302 00:28:59.270 ⇒ 00:29:07.300 Hannah Wang: Yeah, I just came, and everything was already kind of set, so I didn’t want to mess with the font, so
303 00:29:07.950 ⇒ 00:29:10.459 Hannah Wang: I had no thought behind it.
304 00:29:10.460 ⇒ 00:29:16.180 Uttam Kumaran: We’re intentional. Cause. Yeah, at places I work before. It was like, whatever you know.
305 00:29:16.580 ⇒ 00:29:19.670 Uttam Kumaran: So I’m glad we’re like intentionally picking something.
306 00:29:23.840 ⇒ 00:29:30.370 Anne: Yeah. So next is script. So these are the examples of script type.
307 00:29:32.660 ⇒ 00:29:35.870 Anne: Very fancy, yeah.
308 00:29:37.580 ⇒ 00:29:55.859 Anne: And then for font choice the most important thing to remember is that fonts communicate beyond what they spell out. The line shapes, color and proximity. All these special attributes convey meaning to your viewer when you’re deciding with type. So
309 00:29:56.390 ⇒ 00:30:04.469 Anne: it’s really a huge consideration that your phone choice is there to arm yourself to
310 00:30:04.940 ⇒ 00:30:08.100 Anne: better communicate with your audience. Yeah.
311 00:30:10.960 ⇒ 00:30:14.426 Anne: that’s all from the lab share. Thank you.
312 00:30:18.150 ⇒ 00:30:19.160 Uttam Kumaran: Nice.
313 00:30:20.310 ⇒ 00:30:26.440 Uttam Kumaran: Yeah, it’s, I think, in our industry, you know, things are really like cut and dry. So it’s not often where
314 00:30:26.840 ⇒ 00:30:34.629 Uttam Kumaran: I think you see firms trying things. So I’m glad that we do push that a little bit more. I think people a lot of people recognize that.
315 00:30:35.252 ⇒ 00:30:40.090 Uttam Kumaran: It’s tough because we’re selling like quite a technical product to an audience that, like.
316 00:30:40.570 ⇒ 00:30:44.999 Uttam Kumaran: you know, it’s not like a child or like a
317 00:30:45.250 ⇒ 00:30:48.860 Uttam Kumaran: I don’t know. I I feel like, I wonder how close or far we are from like
318 00:30:49.320 ⇒ 00:30:52.170 Uttam Kumaran: selling like products and stuff, you know. So
319 00:30:57.480 ⇒ 00:31:01.169 Uttam Kumaran: cool, I guess. And if you want to go to the next slide.
320 00:31:03.754 ⇒ 00:31:07.935 Uttam Kumaran: So yeah, I think by next week we’ll have
321 00:31:08.650 ⇒ 00:31:26.210 Uttam Kumaran: We’ll do sort of a review of of June. As it closes out. I think we’ll have a lot of similar to sort of what I did last month. We’ll go through everything that’s happening on sales. Sort of like the major sort of wins and changes.
322 00:31:26.899 ⇒ 00:31:30.639 Uttam Kumaran: So I’m excited to share that probably work on it tomorrow.
323 00:31:31.190 ⇒ 00:31:52.699 Uttam Kumaran: another thing is you may see these 2 folks in slack but rico and Sid are both in trial for not for pm. And ops sorry for ops, and for sales coordination. So Sid is helping with some sales coordination work. And Rico is helping with operations.
324 00:31:53.585 ⇒ 00:31:56.619 Uttam Kumaran: So I’m we’re sort of working
325 00:31:57.060 ⇒ 00:32:14.911 Uttam Kumaran: to see whether they’re going to be a right fit, and they also enjoy working with us. So I’m excited. Both are going pretty well so far. So in case they ask you for anything, just feel free to say, Hi, yeah. We also brought on a new web flow developer. Who’s kind of replacing Helene. And so she is.
326 00:32:15.530 ⇒ 00:32:19.759 Uttam Kumaran: she’s been great. She’s working with our team. So we’re doing a
327 00:32:20.470 ⇒ 00:32:41.669 Uttam Kumaran: pretty significant brand, redesign sort of highlighting a lot of the changes we we’re doing to bring AI and data closer together. And then, yeah, the New York trip that we’re currently on is going well. So we’ve met with a few of these folks and meeting a few more today, just a lot of folks that are here.
328 00:32:42.229 ⇒ 00:32:55.099 Uttam Kumaran: And then, yeah, I feel like where it’s been sort of positive exercise to sort of get in person and talk through things. And then we also finish this brand script I don’t know. And if you just wanna click on that and open it.
329 00:32:55.260 ⇒ 00:32:59.350 Uttam Kumaran: if you don’t mind the link in the past one
330 00:33:02.950 ⇒ 00:33:18.420 Uttam Kumaran: So I encourage everyone to maybe go take a look at this. But sort of a bunch of us on the marketing team. Worked on reading this book called Building a story brand? Basically, it’s about, how do you actually
331 00:33:18.790 ⇒ 00:33:48.480 Uttam Kumaran: like, how do you actually work on a brand for and something you’re selling. And so and if you want to click on that brand script V point 2 at the top, this is sort of the latest one and really what this is is the way the cook articulates this is, you’re sort of walking a character through a journey. So for us. Our characters are the these folks at these companies that we’re helping. And so you can probably just scroll slowly, scroll down. And but basically
332 00:33:48.480 ⇒ 00:33:52.670 Uttam Kumaran: you, we sort of have to identify who the person is, what their problem is.
333 00:33:53.226 ⇒ 00:34:21.799 Uttam Kumaran: Like, what is sort of the villain and like why, we’re to be trusted to solve this problem for them. And then we sort of sort of build these like sort of frameworks for guarantees and call to actions. And so this is something that we all read the book, did a couple of workshops and developed and then very nicely. We’re using AI now to take this framework to then help us design copy and make sort of broader design decisions.
334 00:34:22.190 ⇒ 00:34:32.760 Uttam Kumaran: So I think this is really really great. Ideally. If you want to pause here, and one thing that we want to give everybody in the company is, how do you enable
335 00:34:33.300 ⇒ 00:34:36.689 Uttam Kumaran: like when folks ask you, Hey, what is, what is a company
336 00:34:36.989 ⇒ 00:34:48.389 Uttam Kumaran: do like? What does Brainforge do? These are some of the sort of supporting messages that we’re working on on, like what to say. And so it’s really important that all of us have a very
337 00:34:48.510 ⇒ 00:35:11.950 Uttam Kumaran: have a similar explanation of the types of changes that we enable our clients to make and what we deliver for them. And then, of course, how we do it. So we’ll be sort of sharing this out and that way. It’s helpful. If anybody ever, as you want to update something on Linkedin, or you want to tell someone something about what we do, how how do all of us talk about
338 00:35:12.260 ⇒ 00:35:22.339 Uttam Kumaran: the work that we do and the impact that we make. So this is like, sort of a I don’t know. 3 week effort to kind of get to this point. And now we’re sort of redesigning all of our
339 00:35:22.800 ⇒ 00:35:24.390 Uttam Kumaran: brand messaging
340 00:35:24.570 ⇒ 00:35:40.149 Uttam Kumaran: through this lens. Which is helpful. Otherwise we were, it was sort of like, well, we’re doing AI stuff. We’re doing data stuff. There’s not really like a merge of it. And when we go to clients, you know, for us, like I used to think like, Brand is sort of like a wishy, washy thing like
341 00:35:40.503 ⇒ 00:36:06.569 Uttam Kumaran: like. What’s the point? Really? The point is that when you go to a client you want to be really clear about what we do, what we don’t do and like. Why, that’s important to them. And we want that to be like, concise and consistent, you know, so that we can. We can explain that very quickly in a meeting, and people get it, or they go to our website and they get it. Or they see our videos and they get it. They go to our Linkedin. They get it, you know. And so all of it is sort of surrounding this problem. So
342 00:36:06.930 ⇒ 00:36:15.379 Uttam Kumaran: this is sort of like, probably the culmination of what our brand will be for the foreseeable future. We never did sort of a holistic exercise like this. So I think this is
343 00:36:15.510 ⇒ 00:36:19.950 Uttam Kumaran: really really great cool.
344 00:36:21.759 ⇒ 00:36:31.219 Uttam Kumaran: Yeah, I think they’ll probably the only other exec update is we’ll have 2 interns starting next week. Abigail and Vishnu
345 00:36:31.869 ⇒ 00:36:36.059 Uttam Kumaran: Abigail interned with us last year. I think, Ryan, maybe
346 00:36:36.820 ⇒ 00:36:55.599 Uttam Kumaran: you may be the only person, Luke. You may be the only person who remembered her. And then vishnu came recommended from pious, actually, I think he’s in Boston, and both of them will be starting on Monday, helping with a lot of marketing and company related
347 00:36:55.600 ⇒ 00:37:08.289 Uttam Kumaran: data measurement. So we’ll be doing a lot of that work with them and away. She’s kind of leading that program, and I know a few other folks here are sort of doing mentorship for them. So that’s really great, I think for me, I like
348 00:37:08.490 ⇒ 00:37:19.420 Uttam Kumaran: we’re not a big company, and frankly, I think interns for us. There’s a really high risk of distraction than there is real roi. But one of our
349 00:37:19.710 ⇒ 00:37:22.609 Uttam Kumaran: core company goals is to try to give back.
350 00:37:22.840 ⇒ 00:37:33.069 Uttam Kumaran: and I know in my career people took chances on me and gave me opportunity that I wasn’t qualified for. And so I do think that running an intern program.
351 00:37:33.516 ⇒ 00:37:54.689 Uttam Kumaran: Is an important step in that direction where we are giving 2 folks who are at a crossroads in their career, or just sort of entering the market, a real world experience and what it’s like to do data work, and then, ideally, both of them want to work here, and we can afford to have them. So that would be also a really great outcome.
352 00:37:56.380 ⇒ 00:38:01.310 Uttam Kumaran: Cool. And then so for this slide I guess I just wanted to maybe talk.
353 00:38:01.660 ⇒ 00:38:05.165 Uttam Kumaran: and maybe it’s amber. You and
354 00:38:05.960 ⇒ 00:38:12.339 Uttam Kumaran: Robert, just about like how each of these clients are going. And we can just spend maybe 10 min on
355 00:38:12.550 ⇒ 00:38:14.569 Uttam Kumaran: sort of each of the clients, and
356 00:38:15.870 ⇒ 00:38:17.600 Uttam Kumaran: just talk about any sort of
357 00:38:17.760 ⇒ 00:38:20.970 Uttam Kumaran: flags or progress, or anything we would want to add here.
358 00:38:22.120 ⇒ 00:38:30.810 Amber Lin: Sure 1st I want to edit something the tech lead for ABC. Is not Robert.
359 00:38:38.920 ⇒ 00:38:39.740 Uttam Kumaran: Yes.
360 00:38:43.240 ⇒ 00:38:51.970 Amber Lin: I think, for all my clients, for urban stems, ABC. And matter more, they’re doing pretty well since we
361 00:38:52.770 ⇒ 00:39:04.620 Amber Lin: We sort of did a refresh on all the project management processes and with all the new rituals in place. We have guardrails. To prevent these
362 00:39:04.750 ⇒ 00:39:09.490 Amber Lin: these projects from falling apart, and so
363 00:39:10.895 ⇒ 00:39:19.484 Amber Lin: all of them have a good roadmap on what to do. I’m also meeting with Alex to
364 00:39:20.340 ⇒ 00:39:26.950 Amber Lin: Look at what else needs to be done on these projects, so I do think they will get better, and
365 00:39:27.420 ⇒ 00:39:39.139 Amber Lin: I know that as a result of that is, these projects, and Utam or Robert can worry less about these projects because
366 00:39:39.360 ⇒ 00:39:43.700 Amber Lin: we know that if something goes wrong we’ll let them know.
367 00:39:51.500 ⇒ 00:39:51.820 Uttam Kumaran: Yeah.
368 00:39:51.820 ⇒ 00:39:53.569 Amber Lin: That’s my side of updates.
369 00:39:53.570 ⇒ 00:39:59.208 Uttam Kumaran: Oh, yeah, nice. Yeah. I mean, on the even side, I think.
370 00:40:00.560 ⇒ 00:40:08.322 Uttam Kumaran: yeah, I would say, past past couple of weeks. We kind of hit a rough patch. Think tech that get caught up to us a bit. And then
371 00:40:08.840 ⇒ 00:40:14.960 Uttam Kumaran: but yeah, I mean, just overall like we’re still heading in the right direction. I think we have a good level of engagement from
372 00:40:15.350 ⇒ 00:40:20.270 Uttam Kumaran: the like. The main stakeholders there, like we’re clearly embedded, depend on us, like.
373 00:40:20.470 ⇒ 00:40:22.900 Uttam Kumaran: I think the narrative has shifted, I think.
374 00:40:23.888 ⇒ 00:40:50.609 Uttam Kumaran: Yeah, I think I was. I’ve talked to some some folks, especially like a wish and amber, maybe more tuned into it. But like, yeah, we’re at a place now where, like the team wants us to like, we have a but like I have a. We have a budget at at Eden like clearly have a seat at the table, make decisions? And so I’m able to like do more strategic work. But then.
375 00:40:50.760 ⇒ 00:40:53.160 Uttam Kumaran: yeah, I think it’s it’s clear like what
376 00:40:53.340 ⇒ 00:40:58.560 Uttam Kumaran: opportunity we can go unlock. And so I think the account management there is more hands on.
377 00:40:58.830 ⇒ 00:41:16.200 Uttam Kumaran: It is like continuously reassuring the state, like the client that our roadmap is being delivered like. It’s something that they can have confidence in, and even though there are hiccups along the way, like we’re still heading in the right direction. So I feel like a lot of my time
378 00:41:16.330 ⇒ 00:41:30.319 Uttam Kumaran: on that client is just like ensuring that that narrative stays strong. And so yeah, I think that’s that’s that’s again, I think we’re. I’m learning a lot about what it takes to kind of
379 00:41:30.460 ⇒ 00:41:35.401 Uttam Kumaran: keep ourselves in that position with the client. And
380 00:41:36.510 ⇒ 00:41:42.889 Uttam Kumaran: yeah, I mean, I think it’s just gonna hope. I mean, I’m we have more leverage. And this hopefully, it’s like a
381 00:41:43.120 ⇒ 00:41:46.290 Uttam Kumaran: kind that kind of keeps getting bigger and bigger. So
382 00:41:46.705 ⇒ 00:41:55.270 Uttam Kumaran: I just, you know, I asked for a 30% increase today again. So I continue to do that. And I feel like we, we have grounds for that.
383 00:41:55.799 ⇒ 00:42:12.820 Uttam Kumaran: So yeah, I mean, I I think it’s just been a good experience so far on that client, and we have a few others that we’re grooming that are on their way. So I I think it’s it’s been a good model, for, like what growing with a growing client could look like
384 00:42:14.250 ⇒ 00:42:18.310 Uttam Kumaran: cool, I think, and we can probably go to the next slide.
385 00:42:20.237 ⇒ 00:42:37.609 Uttam Kumaran: So probably the biggest thing here is like we have a couple more clients on the bottom. Now. That we’re working towards I think maybe I can talk about pool parts, I think, pull parts and off the record. It’s
386 00:42:37.730 ⇒ 00:42:44.790 Uttam Kumaran: like they’re both fine. I think part of them making this sort of distinction of developing versus strategic clients is
387 00:42:45.571 ⇒ 00:42:51.860 Uttam Kumaran: our focus, of course, is on doing our job. But also
388 00:42:52.080 ⇒ 00:43:13.590 Uttam Kumaran: we are a business. And so, if there is a path, we, our goal is to get people to a path towards leverage, leveraging us more and for us to deliver more. And so all these clients, I think, are in this bucket, because primarily because of just revenue. Right? And so part of this is also like, we need to make sure our attention goes to the bigger clients, because
389 00:43:13.620 ⇒ 00:43:31.789 Uttam Kumaran: those are the ones that are actually 4 or 5 times bigger than just one of these right, 2 or 2 to 2 to 4 times bigger. But these all have a, you know, chance. Some of these have a chance of getting bigger. Some of these are just gonna kind of stay where they are. And so I think for a chat walrus off the record pool parts. These
390 00:43:31.930 ⇒ 00:43:50.059 Uttam Kumaran: they’re just sort of stable. I think we’re doing a good job myself, working with Miguel and Casey on, probably taking a few hours every other day, or between, like some stuff on Monday, some stuff on Thursday. I think I don’t spend much time on these clients.
391 00:43:50.430 ⇒ 00:44:02.809 Uttam Kumaran: and instead, we focus on making sure that we can. The company can make a good margin and that we go and focus our efforts elsewhere. So I think both of those are going well, there, we’ve set expectations. Well, and
392 00:44:02.830 ⇒ 00:44:12.520 Uttam Kumaran: don’t think either is sort of alarm. I know. August may finish with fan stake. So fan stake is something that we picked off today. I’m just gonna put
393 00:44:13.180 ⇒ 00:44:25.029 Uttam Kumaran: developing. This is one where I actually wanted to make a change and bring on an engineer early, and so Kyle will be sort of helping me with fanstake next week.
394 00:44:25.900 ⇒ 00:44:51.260 Uttam Kumaran: they they just have a like sort of lot of different marketing, related analytics everywhere. So we’re doing some spreadsheet help work. We’re setting some architecture. We’re gonna do some roadmapping. But that’s just this is just a 2 week sort of thing for us. But I wanted to include Kyle. So because I know one, he’s really good at sort of the documentation organization, but also starting to show our clients that we are a team. It’s not just interacting with Robert and I. And then
395 00:44:51.430 ⇒ 00:45:13.609 Uttam Kumaran: sort of like goes from there. In fact, as they progress, they will interact with us less right, like we want to sort of sit in this sort of account exec solutions, architect world? And so we can continue going and selling and building the company. And yeah, maybe you can talk about read me or spark plug, and I don’t know if I don’t think I missed any others that are like fully signed or going.
396 00:45:13.950 ⇒ 00:45:21.770 Uttam Kumaran: Yeah, so read me. I think. You know that one’s pretty much done like there’s not no really remaining, I mean, after there’s like, maybe one remaining thing to do. But
397 00:45:22.171 ⇒ 00:45:35.559 Uttam Kumaran: we’re kind of beholden to like the engineering team to kind of implement like the strategy that I kind of put out for the 1st phase so I think at this point. We’re just trying to, you know, expand when when more scope with them
398 00:45:36.010 ⇒ 00:45:38.310 Uttam Kumaran: we’ve already put together like
399 00:45:39.040 ⇒ 00:45:46.030 Uttam Kumaran: strategy and roadmap kind of put in their hands. They’ve been on a roadshow the past week, and so I don’t got to meet
400 00:45:46.503 ⇒ 00:46:07.459 Uttam Kumaran: you know, CEO. And so some people, some folks on the other other parts of the team that we that I haven’t even worked with. So hoping that we’ll find enough allies there that we’re gonna be able to keep pushing for that extension, I think, which I’m very confident we will. It’s just a matter of like when they’re gonna be able to move forward with something that’s more fully fleshed out
401 00:46:07.790 ⇒ 00:46:27.199 Uttam Kumaran: and then on spark plug we sent over the kind of next phase strategy roadmap on Wednesday. So I’ll probably follow up with them today and try to keep pushing on that one. But that work is relative, like the 2 week audit strategy thing is already done with them, too. So we’re kind of just at that like
402 00:46:28.270 ⇒ 00:46:42.999 Uttam Kumaran: point where, yeah, we’re really just trying to push for the upsell on both of these clients like, I think they’re both ready to convert into something that’s like a longer, longer, more structured contract. But yeah, I think that’s that’s on my.
403 00:46:43.340 ⇒ 00:46:48.980 Uttam Kumaran: It’s my priority over the next couple week or 2 weeks to try to get that over the line.
404 00:46:50.000 ⇒ 00:47:05.889 Uttam Kumaran: So yeah, I mean one. I’m happy. That’s 3 new line items here. Which are great compared to the last time I presented this slide, and then and if you want to go to the next one I’ll maybe give a little bit of an update on just overall sales and marketing. So
405 00:47:05.890 ⇒ 00:47:21.719 Uttam Kumaran: yeah, we have, like some great leads in pipeline and some that are already basically at a verbal yes, and are just sort of waiting to close like default. I I won’t sort of send a slack message until I like see a signature. So
406 00:47:21.890 ⇒ 00:47:27.139 Uttam Kumaran: even if people say yes a hundred times, if it’s like not over the line.
407 00:47:27.609 ⇒ 00:47:46.710 Uttam Kumaran: You know, we sort of want to wait for that. But default. We actually went and visited them. Met their CEO CTO. Kind of a bunch of people in their office yesterday that that’s gonna move forward. It’s sort of in legal we also have a couple of brands that are kind of interesting, like insomnia cookies here in the Us. You may be familiar with them. They’re like
408 00:47:47.420 ⇒ 00:48:05.969 Uttam Kumaran: late night. Cookie, stack, brand stack brand shinesty is like an underwear company got intro to us. And blueprint equity is a investment firm that we’re actually pitching sort of a series of workshops to so we actually have a couple of these that are basically at like.
409 00:48:06.130 ⇒ 00:48:29.900 Uttam Kumaran: yes, we’re down to start. And then we’re sort of in contracts. So I do expect that pass list to expand pro, probably another 2 next week. And then some of the a good amount of these will drop out, and then we’ll sort of keep. Keep hitting them up. One thing that you’re seeing on the right side is like a very basic sort of start to like our sales analytics.
410 00:48:30.350 ⇒ 00:48:32.799 Uttam Kumaran: Basically, what you’re looking at is
411 00:48:32.980 ⇒ 00:48:43.600 Uttam Kumaran: folks that have moved into like significant sales conversations not just like, hey? We had a 1 conversation with them. They’re qualified, and that where they’re in pipeline.
412 00:48:44.010 ⇒ 00:48:54.450 Uttam Kumaran: and like that cumulative number over time. And so you can see that this is growing like we. We’re starting to add more and more to this list.
413 00:48:55.495 ⇒ 00:48:57.400 Uttam Kumaran: Since January first.st
414 00:48:58.274 ⇒ 00:49:03.440 Uttam Kumaran: And like. What what we ideally want to see is that this doesn’t stagnate meaning like
415 00:49:03.450 ⇒ 00:49:27.390 Uttam Kumaran: folks are constantly coming through the pipeline. And I would say, for a visual indicator, we need. We want to see this sort of continue to get steeper right? And so that’s what I’ll be looking for is like, how do we add more? How do more leads get into this pipeline? Because the we still don’t expect everybody to close, so we need to have more throughput, like more water needs to come through the pipe
416 00:49:27.683 ⇒ 00:49:50.389 Uttam Kumaran: and the water needs to move at a faster rate through the pipe right? So that’s sort of the the analogy there. And the last thing is, I canna has been helping a lot on partnerships and sales, which has been a really huge win. We’ve been doing a lot of interesting things with with AI in particular, one of the things that we’ve been doing, which leverages a lot of our sort of platform work is
417 00:49:50.797 ⇒ 00:50:17.019 Uttam Kumaran: we go, and Robert and I sit in several sales meetings per day, sometimes like one, sometimes 4. All of those have, like takeaways, action items, whether it’s an email or an sow or a contract. What? Right now, our core, like bottleneck, are executing those things. And if you think about water moving through the pipe faster, the things that need to execute between
418 00:50:17.100 ⇒ 00:50:41.050 Uttam Kumaran: getting on those meetings are what we struggle with. Right. Part of the reason we’re trying to work with Sid is for this sort of sales coordination. And and I think, having Hannah recently has really helped me accelerate a lot of that. The time between me getting on a meeting doing the sales dance there them like being like cool. Let’s move forward. And then us being able to get the follow up over to them is huge.
419 00:50:41.353 ⇒ 00:51:10.470 Uttam Kumaran: And I know Hannah is leveraging a lot of AI to understand what I the transfer, what we talked about, what the takeaways were and then helping me draft those emails. And that allows me to just continue to sit in meetings all day and for us to like. Not have to have a huge sales team, you know, and we can actually still continue to service. This amount of leads. If you think about 14 leads in pipeline. That means at any moment we’re talking to 14 companies that are not our clients.
420 00:51:11.150 ⇒ 00:51:12.410 Uttam Kumaran: Right? So
421 00:51:12.870 ⇒ 00:51:22.259 Uttam Kumaran: that’s like quite a bit of stuff to handle when we don’t have any full time salespeople. And so that’s what we’re really trying to attack with these like sales coordination
422 00:51:22.430 ⇒ 00:51:26.150 Uttam Kumaran: sales, coordinator work. So cool.
423 00:51:28.540 ⇒ 00:51:32.276 Uttam Kumaran: Yeah, maybe. And then maybe I’ll let when we only have 8 min left. I’ll let
424 00:51:32.630 ⇒ 00:51:37.669 Uttam Kumaran: Miguel or Miguel and design. Take this next one.
425 00:51:40.928 ⇒ 00:51:44.629 Anne: For the demo. I think Mustafa will.
426 00:51:44.630 ⇒ 00:51:47.909 Uttam Kumaran: Oh, yeah, for anybody. Yeah. Yeah. Go ahead.
427 00:51:48.140 ⇒ 00:52:12.590 Mustafa Raja: So for the past week or so, a design team and AI team are working together to redesign our internal tools. Platform. So we sort of now have a dashboard, a pretty intuitive and explanatory dashboard that that is way easier to use than before. So let me share how? How this is looking.
428 00:52:14.760 ⇒ 00:52:15.680 Mustafa Raja: So, yeah.
429 00:52:16.654 ⇒ 00:52:39.789 Mustafa Raja: yeah. So so you’re greeted with this interface when you would be entering the demo dot brainforgeai website. This is currently running on my localhost. But this will be hosted later on. Demo dot Brainforge. We might even rename it to platform dot Brainforge later.
430 00:52:39.790 ⇒ 00:52:48.789 Mustafa Raja: So what we have here is we have all the meetings over here, and then we have Brainforge, AI agent. That has context of all the meetings.
431 00:52:49.404 ⇒ 00:52:50.899 Mustafa Raja: That are over here.
432 00:52:51.590 ⇒ 00:52:55.509 Mustafa Raja: And then what we have is we can
433 00:52:56.546 ⇒ 00:53:10.720 Mustafa Raja: sort meetings based on the clients. So we can see that. Okay, these these are the meetings. For only ABC client. And so for this this would be Eden meetings only.
434 00:53:11.370 ⇒ 00:53:21.750 Mustafa Raja: So this is sort of where we at right now with the with the dashboard, and also for the linear tickets. We we improved it a little bit
435 00:53:22.415 ⇒ 00:53:43.110 Mustafa Raja: what we did is if the ticket includes a client, then it should refer to its client Hub to ask for more context on the ticket rather than just pushing whatever was described in the transcript. So let’s wait a few seconds for it to return our tickets.
436 00:53:46.720 ⇒ 00:53:49.859 Uttam Kumaran: Yeah, I think, Robert, this is something that you requested, which was like
437 00:53:50.260 ⇒ 00:53:57.129 Uttam Kumaran: the AI agent should have a context about everything in the client. So that’s what we switch this to. Now.
438 00:54:12.030 ⇒ 00:54:19.029 Hannah Wang: While we wait for that, do you? Wanna do you have like the old version that you can show just to see what changes.
439 00:54:22.808 ⇒ 00:54:27.579 Mustafa Raja: I’ll have to run another server for that. I’ll do that after after this.
440 00:54:27.580 ⇒ 00:54:30.480 Uttam Kumaran: Which one like the existing version, yeah.
441 00:54:31.030 ⇒ 00:54:34.669 Uttam Kumaran: yeah, because demo dot Brainforge already has this pushed?
442 00:54:35.020 ⇒ 00:54:36.710 Uttam Kumaran: Yeah, I got.
443 00:54:38.530 ⇒ 00:54:49.379 Mustafa Raja: Yeah. So so here we see that this, this ticket was identified to to be the for the client ABC home. And we see a lot more context. So context for this.
444 00:54:50.701 ⇒ 00:54:57.230 Mustafa Raja: in, in comparison to the simple AI team tickets descriptions.
445 00:54:58.140 ⇒ 00:55:05.879 Mustafa Raja: So this this description is actually coming from the client hub. So that’s pretty much it.
446 00:55:05.880 ⇒ 00:55:09.519 Uttam Kumaran: So then the reason why you’re seeing multiple clients is that was an ait meeting.
447 00:55:09.520 ⇒ 00:55:09.970 Mustafa Raja: Yeah, yeah.
448 00:55:09.970 ⇒ 00:55:14.709 Uttam Kumaran: Where we talked about like 5 clients. So you’re gonna get
449 00:55:14.820 ⇒ 00:55:20.740 Uttam Kumaran: okay, like, we talk about pool parts about us. We talked about like for the clients. So, yeah.
450 00:55:21.160 ⇒ 00:55:21.750 Mustafa Raja: Yeah.
451 00:55:22.330 ⇒ 00:55:35.729 Uttam Kumaran: And basically every client now has a AI agent loaded with linear tickets, Zoom Meetings, any context. And so now the tickets get created by that agent versus getting created by like a generic like.
452 00:55:36.230 ⇒ 00:55:38.860 Uttam Kumaran: Chat Gpt. Agent. Yeah. So yeah.
453 00:55:39.050 ⇒ 00:55:41.240 Uttam Kumaran: And then also, you want to show the email summary.
454 00:55:41.950 ⇒ 00:55:42.800 Mustafa Raja: Yeah, yeah.
455 00:55:43.020 ⇒ 00:55:45.229 Uttam Kumaran: Well, that one’s ready to go too. Oh.
456 00:55:45.230 ⇒ 00:55:51.219 Mustafa Raja: Yeah. So so we have all these all these types of templates that we can.
457 00:55:51.220 ⇒ 00:55:52.240 Uttam Kumaran: Yes.
458 00:55:52.520 ⇒ 00:55:53.570 Mustafa Raja: And then.
459 00:55:53.570 ⇒ 00:55:54.480 Uttam Kumaran: Nice.
460 00:55:54.480 ⇒ 00:55:57.330 Mustafa Raja: Do a generating email. And that’s it.
461 00:55:59.140 ⇒ 00:56:02.030 Mustafa Raja: It’ll give us the email in a few seconds.
462 00:56:03.840 ⇒ 00:56:06.835 Uttam Kumaran: Yeah, this is really nice having the preview.
463 00:56:08.640 ⇒ 00:56:10.730 Uttam Kumaran: I guess we can’t edit the preview yet.
464 00:56:11.400 ⇒ 00:56:14.839 Uttam Kumaran: You can. Yeah, so this is, yeah.
465 00:56:15.350 ⇒ 00:56:17.590 Mustafa Raja: So this is what it gave us.
466 00:56:23.070 ⇒ 00:56:23.750 Uttam Kumaran: Cool.
467 00:56:23.900 ⇒ 00:56:36.299 Mustafa Raja: Yeah, and we also now do not have to enter a static password. Rather. Rather. We have Google social sign in now.
468 00:56:37.170 ⇒ 00:56:45.759 Mustafa Raja: you see, sign in with Google and you you’ll you’ll be prompted with to choose your account. I’ve already logged in. So it doesn’t ask me.
469 00:56:46.170 ⇒ 00:56:49.799 Mustafa Raja: okay, so do we want to see the previous previous version or not?
470 00:56:51.110 ⇒ 00:56:55.459 Uttam Kumaran: I think it’s okay. I mean, can you also show the the other actions.
471 00:56:57.500 ⇒ 00:56:58.240 Mustafa Raja: Yep.
472 00:56:58.240 ⇒ 00:57:01.570 Uttam Kumaran: So we’re gonna you’re gonna be able to go in here and add new clients.
473 00:57:01.570 ⇒ 00:57:02.260 Mustafa Raja: Yeah.
474 00:57:02.260 ⇒ 00:57:03.800 Uttam Kumaran: So when we add clients
475 00:57:04.010 ⇒ 00:57:09.969 Uttam Kumaran: like this will be part of our Ops flow Rico, or whoever will go in and be able to create new client
476 00:57:10.210 ⇒ 00:57:31.680 Uttam Kumaran: back end will sort of get set up. The other thing is, you go to add meetings. I know we sometimes have meetings on I don’t know if this is developed yet, but we sometimes granola or someone for fireflies. We want those to get added here, like either we have the transcript or the video, or anything we want to create those. So those will get added here as well. The other thing can you go to departments.
477 00:57:34.210 ⇒ 00:57:35.530 Mustafa Raja: No, this is coming soon!
478 00:57:35.700 ⇒ 00:57:59.900 Uttam Kumaran: So yeah, we we’re gonna start to have the the inner company departments as well. So sales, operations, finance design. All of your meetings will also get made available here. Another feature we’re adding is the ability to chat with just a few meetings, so you can pull a Co. The transcript from a couple of meetings into
479 00:58:00.070 ⇒ 00:58:07.200 Uttam Kumaran: your contacts and then chat with it. And then if you go to AI agents left.
480 00:58:07.800 ⇒ 00:58:24.080 Uttam Kumaran: we’re also gonna start to add several like helpful agents like, Help me convert something to a linear ticket or help me scope a project. Kind of a lot of the stuff that we that we couple of us do in our own chat. Gpt will be made available here.
481 00:58:24.664 ⇒ 00:58:32.299 Uttam Kumaran: And then maybe the probably the only thing I’ll ask is, maybe, Hannah, I don’t know if you have it up, but maybe we just show what the designs are going to look like
482 00:58:32.420 ⇒ 00:58:35.899 Uttam Kumaran: if it’s a little bit, or if we don’t have it up, that’s fine. But.
483 00:58:36.705 ⇒ 00:58:44.650 Hannah Wang: Yeah, yeah. Well, it it looks like this, or it looks like what you see. But the.
484 00:58:45.040 ⇒ 00:58:48.329 Uttam Kumaran: In case it’s just a little bit more so. People can see that sort of the end state.
485 00:58:49.550 ⇒ 00:58:54.969 Hannah Wang: Yeah, so this is, let me actually let me go here.
486 00:58:55.180 ⇒ 00:58:59.481 Hannah Wang: I feel like this is eventually what it would start looking like.
487 00:59:00.160 ⇒ 00:59:06.739 Hannah Wang: icons for the metrics and also linking to slack and email threads.
488 00:59:06.840 ⇒ 00:59:19.909 Hannah Wang: I’m not. Yeah. I need to think through the functionality. But having, like icons per client the chat. I think this will be an infinite scroll instead of pagination.
489 00:59:22.250 ⇒ 00:59:33.629 Hannah Wang: And then, like adding a meeting. For example, we’ll look if I can find it like a modal. So you can add the meeting and the participants.
490 00:59:38.400 ⇒ 00:59:42.580 Hannah Wang: Yeah, this is still in progress. But I feel like it’s
491 00:59:42.880 ⇒ 00:59:49.169 Hannah Wang: kind of starting to look like this. This is light mode, I guess. So.
492 00:59:49.820 ⇒ 00:59:57.573 Hannah Wang: Yeah, that’s that’s it. It looks very similar to what the AI team implemented already.
493 00:59:58.210 ⇒ 01:00:08.130 Hannah Wang: oh, yeah, here, even like selecting meetings that you want to chat with, like just selecting certain meetings. Instead of chatting with all of them
494 01:00:09.200 ⇒ 01:00:12.900 Hannah Wang: stuff like that. So yep.
495 01:00:13.510 ⇒ 01:00:18.550 Uttam Kumaran: Oh, any questions from anyone on that.
496 01:00:24.870 ⇒ 01:00:25.290 Amber Lin: Escort.
497 01:00:25.290 ⇒ 01:00:25.710 Uttam Kumaran: Yeah.
498 01:00:31.040 ⇒ 01:00:52.850 Uttam Kumaran: nice. I think my only feedback would be if other people start using this. And you have suggestions or like, Hey, I just make it my life like 10 times easier. Just send them a lot of these are ideas that a couple of us have had. But we sort of want to see feedback. Another last point of thing we’re gonna do is also start to measure the usage of like AI, and there’ll be a dashboard in there
499 01:00:52.850 ⇒ 01:01:07.250 Uttam Kumaran: to show how our agents are getting used and things like that. And then also, like this is what I actually go and show clients like or leads when I talk to them is I pull up what we do for ourselves, and it shows our expertise. And so.
500 01:01:07.670 ⇒ 01:01:21.850 Uttam Kumaran: you know, we’re not a software company. However, we are like a solutions company. And so we clearly built a solution that wasn’t on the market for what we needed. And that’s a great demonstration of our our capability to kind of get stuff done. So
501 01:01:21.990 ⇒ 01:01:24.920 Uttam Kumaran: yeah, it looks really, really great. I’m I’m pumped.
502 01:01:27.110 ⇒ 01:01:28.150 Amber Lin: Awesome.
503 01:01:28.320 ⇒ 01:01:32.729 Amber Lin: I have to hop we have a Mini wood stack.
504 01:01:33.520 ⇒ 01:01:36.870 Uttam Kumaran: Okay, perfect. Alright, thanks everyone. Bye.
505 01:01:36.870 ⇒ 01:01:38.290 Anne: Thanks. Guys. Have a weekend.
506 01:01:38.290 ⇒ 01:01:39.240 Amber Lin: Bye.
507 01:01:39.600 ⇒ 01:01:40.080 Awaish Kumar: Right.
508 01:01:40.940 ⇒ 01:01:42.330 Demilade Agboola: Thanks, bye.