Meeting Title: Brainforge Sales and Design Sync Date: 2025-10-07 Meeting participants: Uttam Kumaran, Hannah Wang
WEBVTT
1 00:00:38.920 ⇒ 00:00:40.080 Hannah Wang: Hello?
2 00:00:43.810 ⇒ 00:00:44.950 Uttam Kumaran: Hello.
3 00:00:46.980 ⇒ 00:00:48.350 Uttam Kumaran: How’s everything?
4 00:00:49.790 ⇒ 00:00:52.070 Hannah Wang: Good. How are you doing?
5 00:00:53.320 ⇒ 00:00:54.860 Uttam Kumaran: Just another day.
6 00:00:55.300 ⇒ 00:01:00.510 Uttam Kumaran: Today was actually good, although I didn’t get to the services work, although I did get a lot of
7 00:01:00.820 ⇒ 00:01:03.579 Uttam Kumaran: other, like, deeper work I need to do.
8 00:01:03.580 ⇒ 00:01:10.220 Hannah Wang: Tomorrow is services day for me, so… Nice. Yeah. Today…
9 00:01:10.870 ⇒ 00:01:24.299 Hannah Wang: Today was interesting. I called Robert for, like, an hour to work on outbound messaging and stuff, I feel like. Nice. So, hopefully, I can kind of start taking over that for him.
10 00:01:25.350 ⇒ 00:01:27.780 Hannah Wang: And get meetings booked, so…
11 00:01:27.980 ⇒ 00:01:42.179 Uttam Kumaran: I’m reading a pretty good book about… I don’t know how… I guess, like, I don’t know how every… I want to… I think I wanted to do the book club, like, one… once a week, because it’s taking, like, 8 weeks to get through this small book, so I may just… I may just say, like.
12 00:01:42.300 ⇒ 00:01:55.000 Uttam Kumaran: let’s wrap this book up, because I have… we’ve got to read a couple other books, but I… I’m reading a pretty good book about sales, and it’s describing, actually, who Robert is. Like, I’m a very different salesperson than Robert is.
13 00:01:55.460 ⇒ 00:02:01.940 Uttam Kumaran: And this book is so good. It’s, like, describing exactly why he’s actually way better.
14 00:02:01.940 ⇒ 00:02:02.420 Hannah Wang: Ugh.
15 00:02:03.250 ⇒ 00:02:05.889 Uttam Kumaran: Because I sell in a much more, like.
16 00:02:06.850 ⇒ 00:02:13.550 Uttam Kumaran: relationship-mannered… like, actually, I think we do have a lot of overlap, but also, I’m… I’m more, like, relationship-based.
17 00:02:13.850 ⇒ 00:02:20.110 Uttam Kumaran: Trying to make the customer happy, versus he sells in a very, like, direct, like, you need our help, here’s why you need our help.
18 00:02:20.110 ⇒ 00:02:20.570 Hannah Wang: Yeah.
19 00:02:20.570 ⇒ 00:02:33.269 Uttam Kumaran: And he’s… it’s like, what they basically found is, like, you would think that, oh, sales is all relationships, and in fact, no, it’s actually, like, the challenger-type salesperson crushes.
20 00:02:33.430 ⇒ 00:02:36.720 Uttam Kumaran: And that’s, like, who we need, and I was like.
21 00:02:37.050 ⇒ 00:02:43.990 Uttam Kumaran: this is great. I just love this book, so giving me, like, all the answers to, like… it’s just putting words to, like.
22 00:02:44.830 ⇒ 00:02:49.080 Uttam Kumaran: Are some of these, like… Things that maybe we know in our head, you know, so…
23 00:02:49.080 ⇒ 00:02:49.740 Hannah Wang: Yeah.
24 00:02:50.380 ⇒ 00:02:55.149 Hannah Wang: Oh yeah, I think being blunt would turn people away, but I guess it…
25 00:02:55.320 ⇒ 00:03:05.260 Uttam Kumaran: I know, but, like, what it’s talking about is that customers don’t often know what they need, and so what they’re looking for, they’re not, like.
26 00:03:05.500 ⇒ 00:03:09.150 Uttam Kumaran: what there’s… I’ll send you maybe a couple of pages I read today, but…
27 00:03:09.150 ⇒ 00:03:09.570 Hannah Wang: Okay.
28 00:03:09.570 ⇒ 00:03:16.990 Uttam Kumaran: It basically says, like, it’s basically, like…
29 00:03:17.480 ⇒ 00:03:22.299 Uttam Kumaran: Customer doesn’t always know what they need, and… You don’t… it actually…
30 00:03:22.680 ⇒ 00:03:24.269 Uttam Kumaran: They would, they would say, like.
31 00:03:24.510 ⇒ 00:03:42.200 Uttam Kumaran: oh yeah, like, let’s say you had a vendor that was trustworthy and you had a good relationship with, but another vendor came in and gave you a cheaper price, they would immediately switch. So customers have, like, no allegiance anymore, and so it’s actually important that customers think about you as someone they can
32 00:03:42.230 ⇒ 00:03:53.029 Uttam Kumaran: Who gives them new opinions, who gives them new ideas, who helps them validate, like, prices and negotiate other vendors, and also, like.
33 00:03:53.080 ⇒ 00:04:00.260 Uttam Kumaran: has a point of view on things. And, like, brand and stuff is important, but…
34 00:04:00.750 ⇒ 00:04:13.910 Uttam Kumaran: I think brand helps… hey, brand helps in many other ways, but I think when you’re in the sales conversation, actually just having a differentiated point of view, and being very direct, and challenging the assumptions of the customer.
35 00:04:14.240 ⇒ 00:04:16.459 Uttam Kumaran: Is actually, like, the better way to go.
36 00:04:16.730 ⇒ 00:04:20.719 Uttam Kumaran: And, I don’t know, the book is just really…
37 00:04:21.149 ⇒ 00:04:23.529 Uttam Kumaran: It’s just putting words to words to a lot of, like.
38 00:04:23.760 ⇒ 00:04:28.160 Uttam Kumaran: Because I had never done sales until this company, and I’ve also done
39 00:04:28.580 ⇒ 00:04:34.119 Uttam Kumaran: I’ve only… this is, like, the first, like, really dedicated sales book I ever read, because I was never, like, a salesperson.
40 00:04:34.430 ⇒ 00:04:35.120 Hannah Wang: Yeah.
41 00:04:35.820 ⇒ 00:04:40.420 Uttam Kumaran: So, yeah, it’s been pretty helpful.
42 00:04:40.420 ⇒ 00:04:43.820 Hannah Wang: Well, Robert’s not a salesperson either, so I don’t know how you guys.
43 00:04:43.820 ⇒ 00:04:48.010 Uttam Kumaran: I know, no, no. Robert is something, like, he’s really, really, like…
44 00:04:48.550 ⇒ 00:04:56.740 Uttam Kumaran: Well, I think both of us are, like, engineers, so we… We generally, like…
45 00:04:58.670 ⇒ 00:05:03.389 Uttam Kumaran: We generally like to engineer problems, and sales is a problem to engineer.
46 00:05:03.390 ⇒ 00:05:04.000 Hannah Wang: It’s true.
47 00:05:04.000 ⇒ 00:05:17.120 Uttam Kumaran: But ultimately, like, we’re engineering ourselves. Like, typically, we would have salespeople that we would be like, oh, you need to try these strategies. It’s almost like we’re talking about a process, and then we’re, like, the vehicle.
48 00:05:17.660 ⇒ 00:05:26.719 Uttam Kumaran: But again, like, I think… I think that’s… part of this is just, like, I think we both have some natural skills that we can lean on, but…
49 00:05:30.040 ⇒ 00:05:30.920 Uttam Kumaran: Yeah.
50 00:05:32.530 ⇒ 00:05:33.350 Hannah Wang: Nice.
51 00:05:33.350 ⇒ 00:05:36.859 Uttam Kumaran: Doing a new thing all the time, that’s… Yeah.
52 00:05:36.880 ⇒ 00:05:38.669 Hannah Wang: Normal here.
53 00:05:41.480 ⇒ 00:05:50.590 Hannah Wang: Okay, I can share my screen again, and then we can kind of do what we did yesterday. I started comment…
54 00:05:51.490 ⇒ 00:05:59.000 Hannah Wang: about just writing out recommended. I thought about putting it to the left, But it’s just…
55 00:06:00.030 ⇒ 00:06:10.389 Hannah Wang: The word is so long width-wise, and I didn’t… I just couldn’t think of a good way to put it, like, in this white space here.
56 00:06:11.700 ⇒ 00:06:15.579 Hannah Wang: That’s what you mean, right? But just, like, have a recommended pill?
57 00:06:15.580 ⇒ 00:06:21.379 Uttam Kumaran: Yeah, yeah, I was basically, like, maybe we should put something, like, here, like, recommended.
58 00:06:21.480 ⇒ 00:06:25.130 Uttam Kumaran: for… We put recommended, like, here.
59 00:06:26.270 ⇒ 00:06:30.499 Uttam Kumaran: I just think, like, having to see this and then look down at it, it’s just too much, like…
60 00:06:30.850 ⇒ 00:06:31.730 Hannah Wang: Yeah.
61 00:06:33.750 ⇒ 00:06:38.550 Hannah Wang: I mean, I tried, like, making it vertical, it looked kind of weird.
62 00:06:38.960 ⇒ 00:06:42.310 Hannah Wang: If I did that… I don’t know…
63 00:06:43.310 ⇒ 00:06:46.660 Uttam Kumaran: Yeah… .
64 00:06:47.280 ⇒ 00:06:47.640 Hannah Wang: Oh.
65 00:06:48.010 ⇒ 00:06:53.970 Uttam Kumaran: Can we… Create an entire green block, like…
66 00:06:54.240 ⇒ 00:06:57.039 Uttam Kumaran: This whole, like, this, like, for example.
67 00:06:57.640 ⇒ 00:07:00.410 Uttam Kumaran: This whole, like, this whole, like, length?
68 00:07:02.190 ⇒ 00:07:04.170 Uttam Kumaran: And then you can put recommended here.
69 00:07:06.140 ⇒ 00:07:07.320 Hannah Wang: Oh…
70 00:07:07.320 ⇒ 00:07:09.669 Uttam Kumaran: So you make the border, like, really fat.
71 00:07:09.670 ⇒ 00:07:10.510 Hannah Wang: Okay.
72 00:07:10.510 ⇒ 00:07:14.129 Uttam Kumaran: On the top one, and then you can write recommended horizontally.
73 00:07:14.610 ⇒ 00:07:19.539 Hannah Wang: Okay, let me try the… Vanessa that…
74 00:07:27.990 ⇒ 00:07:30.859 Hannah Wang: Oh, we did that somewhere else. Let me go find it.
75 00:07:32.580 ⇒ 00:07:33.460 Hannah Wang: This thing.
76 00:08:53.180 ⇒ 00:08:58.109 Hannah Wang: Something like that? I don’t know. Ugh.
77 00:09:04.440 ⇒ 00:09:08.840 Uttam Kumaran: Yeah. Like, I mean, yeah, even like that…
78 00:09:10.950 ⇒ 00:09:12.500 Uttam Kumaran: I mean, I don’t know, like…
79 00:09:16.390 ⇒ 00:09:20.830 Uttam Kumaran: I, yeah, I mean… Or you put it at the bottom.
80 00:09:21.780 ⇒ 00:09:23.319 Uttam Kumaran: So it’s, like, here.
81 00:09:24.170 ⇒ 00:09:28.850 Uttam Kumaran: It’s like, it… it’s… yeah. You know, like, this fat bar is just there, yeah.
82 00:09:28.850 ⇒ 00:09:29.820 Hannah Wang: Oh, okay.
83 00:09:30.110 ⇒ 00:09:32.070 Uttam Kumaran: And that way, it creates, like, a separation.
84 00:09:32.070 ⇒ 00:09:32.580 Hannah Wang: Yeah, totally.
85 00:09:32.580 ⇒ 00:09:37.430 Uttam Kumaran: And then you could even put little arrows next to this if you want to show the… I don’t know, yeah.
86 00:09:37.730 ⇒ 00:09:38.860 Hannah Wang: Makes sense, yeah.
87 00:09:38.860 ⇒ 00:09:39.600 Uttam Kumaran: Okay.
88 00:09:39.850 ⇒ 00:09:40.870 Hannah Wang: Let’s do that.
89 00:09:40.870 ⇒ 00:09:42.799 Uttam Kumaran: I have some design ideas.
90 00:09:43.900 ⇒ 00:09:44.340 Hannah Wang: Yeah.
91 00:09:44.340 ⇒ 00:09:47.619 Uttam Kumaran: This is all fit… this is all, like, PDF design.
92 00:09:48.320 ⇒ 00:09:51.599 Uttam Kumaran: No, not real design.
93 00:09:51.600 ⇒ 00:09:52.620 Hannah Wang: I mean…
94 00:09:52.620 ⇒ 00:09:57.570 Uttam Kumaran: I want to design, like, light bulbs and stuff, like, design, like, real human stuff.
95 00:09:58.200 ⇒ 00:09:59.540 Hannah Wang: That is…
96 00:09:59.850 ⇒ 00:10:09.820 Hannah Wang: That takes skill. This… this is… this is all… I feel like you’re good at design, too. Like, you know what looks good. It’s just…
97 00:10:10.400 ⇒ 00:10:13.850 Uttam Kumaran: I… well, I worked with designers.
98 00:10:13.850 ⇒ 00:10:14.390 Hannah Wang: Ivana.
99 00:10:15.160 ⇒ 00:10:23.799 Uttam Kumaran: Yeah, like, I worked with the… I worked with Ivana and her whole team for a while, and then I… I built the entire product at my last company, so it was all…
100 00:10:25.060 ⇒ 00:10:27.020 Uttam Kumaran: I hired the designer.
101 00:10:27.290 ⇒ 00:10:33.709 Uttam Kumaran: Well, we had the three designers, and then the last one was really good, and me and her built the entire, like… so that’s how I know, like, enough…
102 00:10:34.600 ⇒ 00:10:36.610 Uttam Kumaran: To give you some, like, options.
103 00:10:36.610 ⇒ 00:10:37.360 Hannah Wang: Yeah.
104 00:10:37.690 ⇒ 00:10:48.480 Uttam Kumaran: But the nice thing is, like, we are so far from, like, most people that, like, as long as we… as long as both of… I think if you are proud of it from the design side, I’m proud of it from, like.
105 00:10:48.970 ⇒ 00:10:51.599 Uttam Kumaran: The information architecture side, and…
106 00:10:51.600 ⇒ 00:10:51.920 Hannah Wang: Yeah.
107 00:10:51.920 ⇒ 00:10:52.650 Uttam Kumaran: fine.
108 00:10:56.300 ⇒ 00:11:02.460 Hannah Wang: Okay, I’ll finagle with this, on my own. Is there anything else you wanted to add?
109 00:11:02.850 ⇒ 00:11:06.099 Uttam Kumaran: Yes, so I do have the numbers for you.
110 00:11:06.100 ⇒ 00:11:07.220 Hannah Wang: Oh, okay, cool.
111 00:11:12.540 ⇒ 00:11:15.310 Uttam Kumaran: Oh, and I do have a bonus thing at the end of this call.
112 00:11:17.010 ⇒ 00:11:19.050 Hannah Wang: Bonus, like, extra bonus?
113 00:11:19.050 ⇒ 00:11:21.549 Uttam Kumaran: No, no, no, bonus discussion topic.
114 00:11:21.550 ⇒ 00:11:22.629 Hannah Wang: Oh, sure.
115 00:11:22.970 ⇒ 00:11:23.529 Uttam Kumaran: Oh my god.
116 00:11:23.930 ⇒ 00:11:31.640 Uttam Kumaran: So for Power BI… So Power BI is…
117 00:11:33.800 ⇒ 00:11:37.350 Uttam Kumaran: Okay, so for each of these tools, there’s, like.
118 00:11:38.210 ⇒ 00:11:41.339 Uttam Kumaran: Sometimes, like, 3 types of users.
119 00:11:41.340 ⇒ 00:11:41.970 Hannah Wang: Yeah.
120 00:11:41.970 ⇒ 00:11:49.379 Uttam Kumaran: like, for Omni, and Looker, and Tableau, and Power BI, there are 3 types of users. There’s…
121 00:11:50.260 ⇒ 00:11:56.970 Uttam Kumaran: like, for Tableau, for Power BI, for example, there’s Pro, Premium, this Pro and Premium.
122 00:11:56.970 ⇒ 00:11:57.760 Hannah Wang: Huh.
123 00:11:58.380 ⇒ 00:12:03.330 Uttam Kumaran: So… I wonder if, like, we should just put, like.
124 00:12:04.020 ⇒ 00:12:06.189 Uttam Kumaran: Basically, like, should we just do it like this?
125 00:12:08.180 ⇒ 00:12:09.180 Hannah Wang: the, or…
126 00:12:09.180 ⇒ 00:12:15.890 Uttam Kumaran: So, so the, so the platform… okay, yeah, the platform cost…
127 00:12:17.270 ⇒ 00:12:24.519 Uttam Kumaran: I don’t know if there is a… Platform cost, actually.
128 00:12:43.240 ⇒ 00:12:49.100 Uttam Kumaran: Yeah, I don’t think there is a platform cost, actually. Power BI platform cost…
129 00:12:57.160 ⇒ 00:13:03.289 Uttam Kumaran: Yeah, it’s just… Basically, 24 a month.
130 00:13:04.950 ⇒ 00:13:12.210 Uttam Kumaran: So… The license model… so, yeah, so you can just put, like, you could put zero platform costs.
131 00:13:26.800 ⇒ 00:13:36.880 Uttam Kumaran: Yeah, we can do 0% platform cost, and then this is… you can save 24 for premium.
132 00:13:43.030 ⇒ 00:13:43.890 Uttam Kumaran: Yeah.
133 00:13:47.630 ⇒ 00:13:51.970 Hannah Wang: $14 per month for Pro.
134 00:13:56.920 ⇒ 00:14:00.500 Hannah Wang: Should I capitalize those? Is that capitalized?
135 00:14:01.080 ⇒ 00:14:02.799 Hannah Wang: It looks better like that.
136 00:16:07.180 ⇒ 00:16:12.099 Uttam Kumaran: Yes, this looks great. Wait, maybe make it rounded.
137 00:16:12.340 ⇒ 00:16:13.420 Hannah Wang: Yeah, okay.
138 00:16:13.420 ⇒ 00:16:15.749 Uttam Kumaran: So it looks kind of like a little, like, yeah…
139 00:16:22.780 ⇒ 00:16:25.150 Hannah Wang: Maybe I’ll make it bigger.
140 00:19:28.240 ⇒ 00:19:28.980 Uttam Kumaran: Oops.
141 00:20:49.640 ⇒ 00:20:57.100 Uttam Kumaran: Okay, sorry, I got distracted. Okay, so… Looker.
142 00:20:57.270 ⇒ 00:20:59.240 Hannah Wang: Looker costs…
143 00:20:59.960 ⇒ 00:21:00.639 Uttam Kumaran: Oh…
144 00:21:05.890 ⇒ 00:21:15.130 Uttam Kumaran: Yeah, so Looker basically is gonna start off at, like, I think they’re saying…
145 00:21:23.470 ⇒ 00:21:26.730 Uttam Kumaran: It’s gonna start off at $35K a year.
146 00:21:27.670 ⇒ 00:21:28.170 Hannah Wang: Okay.
147 00:21:28.170 ⇒ 00:21:32.500 Uttam Kumaran: So you can just put 35K, Can we play 35K plus?
148 00:21:33.940 ⇒ 00:21:38.050 Uttam Kumaran: Because these guys will charge. And then, for this, we can put,
149 00:21:42.430 ⇒ 00:21:49.519 Uttam Kumaran: 30… it’s 34 viewer.
150 00:21:50.910 ⇒ 00:21:57.920 Uttam Kumaran: 60 for standard, and 125… For developer, and that’s each per month.
151 00:22:00.200 ⇒ 00:22:01.460 Hannah Wang: What was Dev again?
152 00:22:02.000 ⇒ 00:22:03.850 Uttam Kumaran: 30.
153 00:22:04.740 ⇒ 00:22:06.730 Hannah Wang: 30… Devil’s 30?
154 00:22:06.910 ⇒ 00:22:07.720 Uttam Kumaran: Yes.
155 00:22:10.670 ⇒ 00:22:14.549 Hannah Wang: Should we just put per month here?
156 00:22:14.930 ⇒ 00:22:20.389 Uttam Kumaran: I feel like people… We should put it in both places, like…
157 00:22:20.390 ⇒ 00:22:21.230 Hannah Wang: Okay.
158 00:22:21.670 ⇒ 00:22:23.629 Uttam Kumaran: We should just put it in both places.
159 00:22:24.630 ⇒ 00:22:28.480 Uttam Kumaran: And maybe we… do 3?
160 00:22:29.220 ⇒ 00:22:30.050 Hannah Wang: Okay.
161 00:22:32.340 ⇒ 00:22:34.540 Uttam Kumaran: Just because, like, these are all kind of the same.
162 00:22:38.630 ⇒ 00:22:40.220 Hannah Wang: Okay.
163 00:23:30.550 ⇒ 00:23:31.860 Uttam Kumaran: And then…
164 00:23:36.360 ⇒ 00:23:40.680 Uttam Kumaran: I would say… I would say remove base.
165 00:24:14.640 ⇒ 00:24:19.459 Uttam Kumaran: Okay, yeah, so if I… so the tableau piece… okay.
166 00:24:37.430 ⇒ 00:24:39.749 Uttam Kumaran: Is there a tablet form?
167 00:24:41.990 ⇒ 00:24:43.780 Uttam Kumaran: Platform pricing…
168 00:24:49.340 ⇒ 00:24:55.299 Uttam Kumaran: Oh, there isn’t any… so this is also… so Tableau’s also $0 cost?
169 00:24:55.730 ⇒ 00:25:10.609 Uttam Kumaran: And then the licenses… 15 for a viewer… 42… for Explorer… And 75 for a creator.
170 00:25:11.920 ⇒ 00:25:14.029 Uttam Kumaran: And then, yeah, yeah.
171 00:26:45.540 ⇒ 00:26:47.279 Uttam Kumaran: Oh, and then the,
172 00:26:53.070 ⇒ 00:27:01.950 Uttam Kumaran: Oh… So the… we actually have to divide all these by, 12.
173 00:27:02.760 ⇒ 00:27:13.030 Uttam Kumaran: So, this is… it’ll be… So it’d be 60, 40, And, what’s the math?
174 00:27:13.440 ⇒ 00:27:15.040 Uttam Kumaran: Fuck.
175 00:27:15.790 ⇒ 00:27:17.460 Uttam Kumaran: 15? Yeah.
176 00:27:18.300 ⇒ 00:27:19.200 Uttam Kumaran: Nice.
177 00:27:19.950 ⇒ 00:27:24.649 Hannah Wang: Oh, I didn’t do that. I literally did spotlight search and just divided.
178 00:27:24.650 ⇒ 00:27:26.480 Uttam Kumaran: What is Spotlight Search?
179 00:27:27.190 ⇒ 00:27:30.629 Hannah Wang: Command space. It’s like,
180 00:27:30.900 ⇒ 00:27:32.799 Hannah Wang: You can just search for anything.
181 00:27:32.800 ⇒ 00:27:33.740 Uttam Kumaran: Whoa!
182 00:27:34.300 ⇒ 00:27:36.640 Uttam Kumaran: I don’t even know there’s a shortcut. Oh.
183 00:27:36.750 ⇒ 00:27:38.910 Uttam Kumaran: 15 divided by 5… oh!
184 00:27:39.370 ⇒ 00:27:40.929 Hannah Wang: Yeah, you can do math here.
185 00:27:41.540 ⇒ 00:27:43.080 Uttam Kumaran: Oh, nice, okay.
186 00:27:43.080 ⇒ 00:27:45.449 Hannah Wang: And then, the other thing is.
187 00:27:46.100 ⇒ 00:27:51.969 Uttam Kumaran: the standard Omni platform gives you… okay, you have the 8 seats, yeah, or 10 seats.
188 00:27:52.220 ⇒ 00:27:55.509 Uttam Kumaran: So, okay, so then similarly…
189 00:28:07.650 ⇒ 00:28:13.090 Uttam Kumaran: I don’t know what? My brain is not working. Where is the…
190 00:29:23.800 ⇒ 00:29:25.879 Uttam Kumaran: Yeah, and so for Looker…
191 00:29:26.890 ⇒ 00:29:32.289 Uttam Kumaran: For the final column, we can just leave it blank, actually, because we don’t have…
192 00:29:33.400 ⇒ 00:29:35.840 Hannah Wang: Yeah, we don’t have any partnerships with them.
193 00:29:37.010 ⇒ 00:29:38.749 Hannah Wang: Should I just put NA?
194 00:29:41.490 ⇒ 00:29:43.930 Uttam Kumaran: I would just… maybe we… maybe we just get rid of it.
195 00:29:44.130 ⇒ 00:29:45.660 Hannah Wang: Oh, okay. Is it a little cuddly?
196 00:29:45.880 ⇒ 00:29:47.520 Uttam Kumaran: Yeah, let’s just get rid of it.
197 00:29:47.520 ⇒ 00:29:48.440 Hannah Wang: Oh, okay.
198 00:29:49.550 ⇒ 00:29:55.310 Uttam Kumaran: Well, I guess, like… If we want to have something in there, then…
199 00:29:59.500 ⇒ 00:30:01.909 Hannah Wang: It just looks like it’s a mistake.
200 00:30:02.720 ⇒ 00:30:08.490 Uttam Kumaran: I… So then let’s put something here, let’s put, just like…
201 00:30:09.250 ⇒ 00:30:11.169 Uttam Kumaran: We could just put, like,
202 00:30:12.080 ⇒ 00:30:14.840 Uttam Kumaran: 10 plus years of Looker experience.
203 00:30:15.200 ⇒ 00:30:16.110 Hannah Wang: Okay.
204 00:30:18.980 ⇒ 00:30:25.020 Uttam Kumaran: And then for Power BI, Oh, let’s put,
205 00:30:28.340 ⇒ 00:30:30.960 Uttam Kumaran: Extensive dashboard experience.
206 00:30:31.750 ⇒ 00:30:36.960 Uttam Kumaran: No one’s gonna read this corner anyways. And then for… what’s the… that’s Sigma?
207 00:30:37.790 ⇒ 00:30:41.259 Uttam Kumaran: We don’t really… we don’t done much in Sigma.
208 00:30:49.510 ⇒ 00:30:52.420 Uttam Kumaran: You can just put Enterprise Visualizations.
209 00:31:00.980 ⇒ 00:31:10.099 Uttam Kumaran: And then for Tableau, we could… for this, we can just put, like, basic support.
210 00:31:11.340 ⇒ 00:31:13.919 Uttam Kumaran: And then same thing for here, basic support.
211 00:31:28.020 ⇒ 00:31:34.579 Uttam Kumaran: And then… And then for Looker, we can put 4 premium tiers.
212 00:31:37.310 ⇒ 00:31:39.049 Hannah Wang: Four? Like, 4?
213 00:31:39.050 ⇒ 00:31:42.019 Uttam Kumaran: I don’t know, like, just for F-O-R.
214 00:31:42.020 ⇒ 00:31:43.150 Hannah Wang: Oh…
215 00:31:54.160 ⇒ 00:31:55.820 Uttam Kumaran: For premium tiers only.
216 00:32:11.300 ⇒ 00:32:17.380 Uttam Kumaran: And then for Looker, can we put extremely expensive at scale? Their pricing is horrible.
217 00:32:17.910 ⇒ 00:32:19.709 Uttam Kumaran: And then,
218 00:32:28.620 ⇒ 00:32:34.590 Uttam Kumaran: I think we can say,
219 00:32:36.670 ⇒ 00:32:39.399 Uttam Kumaran: sort of, like, predictable SaaS costs.
220 00:32:43.390 ⇒ 00:32:45.169 Uttam Kumaran: Input cost with S.
221 00:32:45.750 ⇒ 00:32:51.160 Uttam Kumaran: And then Tableau… Yeah.
222 00:33:03.430 ⇒ 00:33:09.779 Uttam Kumaran: Actually, can we do, for this one, can you put nego… negotiable as you scale?
223 00:33:13.480 ⇒ 00:33:22.199 Uttam Kumaran: And then, for this, you could just put, like, low entry, Low scale costs.
224 00:33:23.630 ⇒ 00:33:24.430 Uttam Kumaran: Yeah.
225 00:33:28.980 ⇒ 00:33:33.900 Uttam Kumaran: And then for this one, can you put a…
226 00:33:36.740 ⇒ 00:33:40.860 Uttam Kumaran: Rapid adoption SaaS tech and data teams, heavy AI features.
227 00:33:48.910 ⇒ 00:33:54.360 Uttam Kumaran: Okay, and you can put preferred partner rates and support.
228 00:33:54.720 ⇒ 00:33:56.510 Uttam Kumaran: You put these two can be the same.
229 00:34:15.480 ⇒ 00:34:17.340 Uttam Kumaran: Okay, this looks good.
230 00:34:18.070 ⇒ 00:34:19.190 Uttam Kumaran: I’m happy.
231 00:34:19.770 ⇒ 00:34:21.409 Hannah Wang: Nice. Okay.
232 00:34:24.800 ⇒ 00:34:32.859 Hannah Wang: I will play around with the spacing and stuff, because it looks a bit squished some places, and then…
233 00:34:33.110 ⇒ 00:34:40.559 Hannah Wang: I will also change the slide version, and then… do you need me to do this end of day, or can I finish it up tomorrow?
234 00:34:41.460 ⇒ 00:34:46.409 Uttam Kumaran: No, tomorrow’s fine. Yeah, so our meeting is on Thursday, so I just wanted to, like…
235 00:34:46.510 ⇒ 00:34:52.010 Uttam Kumaran: have this ready by then, basically. So… Yeah, that’s fine.
236 00:34:52.060 ⇒ 00:34:57.450 Hannah Wang: I mean, I’ll… Diagram, like, it’s like… It’s… yeah, it’s…
237 00:34:57.450 ⇒ 00:35:01.009 Uttam Kumaran: It’s very close, it’s just, I think this is basically gonna be, like.
238 00:35:01.130 ⇒ 00:35:06.590 Uttam Kumaran: I would say this is part two to the comparison… to the BI comparison diagram.
239 00:35:06.590 ⇒ 00:35:07.960 Hannah Wang: Yeah.
240 00:35:09.980 ⇒ 00:35:11.720 Hannah Wang: Cool. Okay.
241 00:35:12.950 ⇒ 00:35:14.689 Uttam Kumaran: And my bonus topic…
242 00:35:16.100 ⇒ 00:35:28.120 Uttam Kumaran: So… yeah, I mean, I was playing… I actually… I demoed Magic Patterns to the AI crew, and I’m having them actually take a look at a few other options. Basically.
243 00:35:28.470 ⇒ 00:35:33.279 Uttam Kumaran: I gave a little bit of, like, a talk about how
244 00:35:33.730 ⇒ 00:35:38.729 Uttam Kumaran: We should try to democratize, like, design of the platform a little bit.
245 00:35:38.920 ⇒ 00:35:39.570 Hannah Wang: But…
246 00:35:39.570 ⇒ 00:35:40.610 Uttam Kumaran: Meaning…
247 00:35:41.150 ⇒ 00:36:00.239 Uttam Kumaran: you know, like, working in… like, in product design, typically the user is acutely aware of their problem, and through the game of telephone, through PMs, through back design, and finally the AI team to then get developed, it normally takes a long time, which we don’t have. It also is often not exactly, like, what people wanted, but because
248 00:36:00.370 ⇒ 00:36:09.330 Uttam Kumaran: we sort of get the distance, it can’t be, like, redone. And I actually think a lot of our features could benefit if the… if the upfront user had access to
249 00:36:09.860 ⇒ 00:36:16.030 Uttam Kumaran: Just, like, try things themselves to give you, like, a little… at least some inspo, but at least some direction.
250 00:36:16.070 ⇒ 00:36:17.220 Hannah Wang: Yeah.
251 00:36:17.250 ⇒ 00:36:22.920 Uttam Kumaran: Right? And so I was pitching… I was pitching,
252 00:36:23.180 ⇒ 00:36:29.389 Uttam Kumaran: basically, like, magic patterns, which what I did, and I basically took…
253 00:36:30.130 ⇒ 00:36:34.630 Hannah Wang: like, I connect… I connected our Figma, I think, somehow, and I was just doing basic, like.
254 00:36:34.630 ⇒ 00:36:47.350 Uttam Kumaran: questions like, hey, reimagine the left navbar. And it, like, built this. And imagine if I had even gotten a little bit slimmer, where I was like, hey, I… I want to think about how we do this part, this icon.
255 00:36:47.540 ⇒ 00:36:57.449 Uttam Kumaran: And then I’m like, give me some options. I just think it gives ev- it gives the users a place to start, and then it goes into design review, or basically it goes to design for polishing.
256 00:36:57.810 ⇒ 00:37:02.440 Uttam Kumaran: And I think that’s a much better way of managing, like, our bandwidth, basically.
257 00:37:04.490 ⇒ 00:37:12.789 Uttam Kumaran: So, one of the things I told the AI team is they have to… and I think you can… I would love you guys on the design team to also be involved, is to pick
258 00:37:12.980 ⇒ 00:37:17.569 Uttam Kumaran: sort of a tool we can use that I can give access to everybody with, which…
259 00:37:17.570 ⇒ 00:37:18.250 Hannah Wang: Okay.
260 00:37:18.500 ⇒ 00:37:20.649 Uttam Kumaran: Basically, allows anybody to, like.
261 00:37:21.680 ⇒ 00:37:29.569 Uttam Kumaran: chat with our design, ideally, and you can think about an example, and I don’t know… yeah, so, like, for example, AI did all this.
262 00:37:30.010 ⇒ 00:37:33.870 Uttam Kumaran: And I just gave it, like, screenshots of all our stuff, basically.
263 00:37:33.870 ⇒ 00:37:35.430 Hannah Wang: Crazy.
264 00:37:35.430 ⇒ 00:37:38.600 Uttam Kumaran: And I gave it… I gave it also our brand guide.
265 00:37:38.600 ⇒ 00:37:39.470 Hannah Wang: Okay, yeah.
266 00:37:39.470 ⇒ 00:37:45.780 Uttam Kumaran: But, like, imagine if we had this, and you want to say, cool, I want to just, like.
267 00:37:46.070 ⇒ 00:37:49.269 Uttam Kumaran: Like, for example, one of the things I want to work on is I don’t like
268 00:37:49.570 ⇒ 00:37:54.080 Uttam Kumaran: this is something I… and from… I’m a little bit biased towards, but I don’t like modals.
269 00:37:54.200 ⇒ 00:37:59.129 Hannah Wang: Okay. Or, I don’t like things like this, because I think it hides functionality from the users.
270 00:37:59.130 ⇒ 00:38:16.039 Uttam Kumaran: Yeah. And so, I would rather have, like, 10 different things you could do all here, versus having to click on this, because the user may not always know. And so, one of the things I want, as a user, okay, I want to maybe, like, give you guys, hey, like, I want to design a version where there’s just squares of things you can do here.
271 00:38:16.070 ⇒ 00:38:21.859 Uttam Kumaran: Like, just different tools. But, like, if I… for me, right, what’s the current situation? I have to go to you guys.
272 00:38:21.860 ⇒ 00:38:28.110 Hannah Wang: say, can I get that? Okay, we probably work on it in, like, 4 weeks from now. By that point, totally forget, like, even what I was talking about.
273 00:38:28.130 ⇒ 00:38:39.550 Uttam Kumaran: It’s totally lost. And so instead, I was like, okay, maybe I can go to Magic Patterns, have it designed, I can work with it until it gets somewhere halfway, and then I basically can share you this version and say, like.
274 00:38:40.140 ⇒ 00:38:43.649 Uttam Kumaran: okay, what do you guys think? You can actually export directly to Figma.
275 00:38:44.040 ⇒ 00:38:44.800 Hannah Wang: Yeah.
276 00:38:44.800 ⇒ 00:38:51.230 Uttam Kumaran: like, do the fine touches if needed, and then from there, it gets shipped to the AI team. So that’s, like, part one.
277 00:38:51.230 ⇒ 00:38:53.300 Hannah Wang: Of what I want to kind of optimize. So…
278 00:38:53.350 ⇒ 00:38:59.120 Uttam Kumaran: And that’s for me, think about any user in the company that, like, has an idea and wants to, like.
279 00:38:59.730 ⇒ 00:39:07.110 Uttam Kumaran: test it out, or, like, I basically want to open up the lo-fi, mid-fi part.
280 00:39:07.110 ⇒ 00:39:07.590 Hannah Wang: Go on.
281 00:39:07.590 ⇒ 00:39:09.700 Uttam Kumaran: of design to…
282 00:39:09.960 ⇒ 00:39:27.589 Uttam Kumaran: to the people that are closest to the problem, which are the users. But this is where, like, I’m opposed to what all of the tools are pushing for, is, like, design the whole… is, like, build the whole thing, and design the whole thing. I don’t think the users have the design fundamentals to, like, get it to the high fidelity point.
283 00:39:27.780 ⇒ 00:39:31.430 Uttam Kumaran: that it needs, but I do think that they can get it 60% of the way there.
284 00:39:31.730 ⇒ 00:39:41.559 Uttam Kumaran: And it’ll save us a lot… they can actually iterate faster, and actually, I think you can also iterate faster. Like, imagine you get a magic patterns file with something.
285 00:39:41.610 ⇒ 00:39:53.200 Uttam Kumaran: I think it’s even easier for you guys to try things here, given the original idea, and then move it. So, I think you kind of get my pitch a little bit. The second part of this is, as soon as that design’s approved.
286 00:39:53.270 ⇒ 00:40:01.619 Uttam Kumaran: I actually want to make it more open for, sort of, semi-technical people in the company to develop on the platform. So that’s, like, using Cursor.
287 00:40:01.810 ⇒ 00:40:04.740 Uttam Kumaran: and things like that. And this is actually something that I think
288 00:40:04.850 ⇒ 00:40:15.729 Uttam Kumaran: I’m gonna do with just the… with the kind of semi-technical folks, and then I want to teach everybody on our design team as well, how you guys can design something and actually ship it to production.
289 00:40:15.980 ⇒ 00:40:18.549 Uttam Kumaran: And similarly in that world.
290 00:40:18.710 ⇒ 00:40:36.899 Uttam Kumaran: you would have to open up cursor, but, like, for example, we need… there’s some cursor scaffolding that needs to happen. How do we go from Figma to cursor? And then also the AI team is gonna… basically, if you can get 60% of the way there in Cursor, then I can pass the AI team to, like, polish out.
291 00:40:36.970 ⇒ 00:40:39.430 Hannah Wang: the code, and then they can ship it, right? So…
292 00:40:39.430 ⇒ 00:40:45.550 Uttam Kumaran: very similar, where I want super non-technical people to be able to design, and then I want
293 00:40:45.820 ⇒ 00:40:56.229 Uttam Kumaran: ideally, those people then I could also teach how to do things at cursor, and then there’s still design teams one checkpoint, the AI team is one checkpoint, but I’ve saved you guys from, like.
294 00:40:56.740 ⇒ 00:40:58.719 Uttam Kumaran: That, like, telephone game?
295 00:40:58.720 ⇒ 00:40:59.740 Hannah Wang: Yeah. And…
296 00:40:59.740 ⇒ 00:41:04.130 Uttam Kumaran: So, I’m telling you, like, we’ve developed all this with so little time and people.
297 00:41:04.130 ⇒ 00:41:04.480 Hannah Wang: Yeah.
298 00:41:04.480 ⇒ 00:41:06.959 Uttam Kumaran: I don’t think there’s a world where I have… we have, like.
299 00:41:07.260 ⇒ 00:41:15.220 Uttam Kumaran: 10 people working on an internal platform at a consultancy, like, it’s just not gonna happen, and I’m sort of, like, resigned to the fact that
300 00:41:15.550 ⇒ 00:41:18.010 Uttam Kumaran: I think we’re gonna be limited, but…
301 00:41:18.240 ⇒ 00:41:21.620 Uttam Kumaran: I… what we do need to democratize is the fact that, like.
302 00:41:22.000 ⇒ 00:41:27.509 Uttam Kumaran: people can get, like, halfway there, you know, for us to take at that point, so that’s kind of, like, what I’m thinking about.
303 00:41:27.510 ⇒ 00:41:30.390 Hannah Wang: Cool. Yeah, I mean, I even feel like…
304 00:41:30.670 ⇒ 00:41:37.830 Hannah Wang: the AI team, like Sam, for example, I feel like he has a lot of ideas, and then, I mean, talking to him, I feel like he just doesn’t know how to…
305 00:41:38.890 ⇒ 00:41:50.519 Hannah Wang: I feel like he can know what good design is by looking at it, but he can’t necessarily create it from the top of his head, so I think, especially with magic patterns, like, he can totally do that, like, even if he doesn’t.
306 00:41:50.520 ⇒ 00:41:50.990 Uttam Kumaran: Yeah.
307 00:41:50.990 ⇒ 00:41:59.079 Hannah Wang: have the design knowledge, like, he can just tell the AI, like, I want to be able to do this, and I feel like it’ll give him options, and then…
308 00:41:59.080 ⇒ 00:42:02.640 Uttam Kumaran: Yeah, and this is the… look at this, this is… I didn’t tell it anything, I literally said…
309 00:42:03.380 ⇒ 00:42:06.579 Uttam Kumaran: I said… Run a design critique.
310 00:42:06.730 ⇒ 00:42:12.459 Uttam Kumaran: And then I pasted in our entire AI Notion doc, which has, like, our OKRs for the AI team.
311 00:42:12.850 ⇒ 00:42:14.490 Uttam Kumaran: And that’s it. And it…
312 00:42:14.690 ⇒ 00:42:18.790 Uttam Kumaran: it ripped all of us. And some of the stuff that’s new, which is, like.
313 00:42:19.000 ⇒ 00:42:24.909 Uttam Kumaran: Copying the meeting ID, tags, AI-generated insights. Like, this is actually, like.
314 00:42:25.270 ⇒ 00:42:28.049 Uttam Kumaran: We could do this in, like, a few hours.
315 00:42:28.050 ⇒ 00:42:29.390 Hannah Wang: But the fact that, like.
316 00:42:29.390 ⇒ 00:42:33.330 Uttam Kumaran: I could never get it to the design point in order to hand it off, it’s the real…
317 00:42:33.710 ⇒ 00:42:35.669 Uttam Kumaran: thing here. So, one thing that I asked
318 00:42:36.070 ⇒ 00:42:38.780 Uttam Kumaran: perplexity, as I said, give me a couple other options.
319 00:42:39.290 ⇒ 00:42:47.890 Uttam Kumaran: We’re gonna be testing out V0, and then I think also… I think Figma also has some AI features.
320 00:42:48.820 ⇒ 00:42:51.940 Uttam Kumaran: Figma Make?
321 00:42:52.270 ⇒ 00:42:53.670 Hannah Wang: Right, I…
322 00:42:54.460 ⇒ 00:42:56.449 Uttam Kumaran: I don’t know how, like, decent it is.
323 00:42:56.450 ⇒ 00:42:57.180 Hannah Wang: Yeah.
324 00:42:58.270 ⇒ 00:43:03.250 Uttam Kumaran: And…
325 00:43:03.860 ⇒ 00:43:12.960 Uttam Kumaran: Yeah, so, like, I said I don’t care what it is, but basically, I want to make sure that anyone who comes into this has our Figmas loaded in here, basically.
326 00:43:13.440 ⇒ 00:43:15.739 Hannah Wang: So I guess moving forward, like, if…
327 00:43:16.270 ⇒ 00:43:21.569 Hannah Wang: I guess, what’s, like, the roadmap for, like, the internal platform? Is it just.
328 00:43:21.570 ⇒ 00:43:23.280 Uttam Kumaran: Yeah, great question.
329 00:43:23.680 ⇒ 00:43:24.540 Hannah Wang: Yeah.
330 00:43:24.950 ⇒ 00:43:26.920 Uttam Kumaran: Thank you for the layout portion.
331 00:43:27.350 ⇒ 00:43:29.950 Uttam Kumaran: Kind of, like, this is…
332 00:43:30.640 ⇒ 00:43:38.740 Uttam Kumaran: This is, like, what I’m… what we’re starting to work on, and really, like, we’re starting to map out all of the core processes.
333 00:43:39.120 ⇒ 00:43:39.640 Hannah Wang: Okay.
334 00:43:39.640 ⇒ 00:43:57.299 Uttam Kumaran: And another thing that we’re doing, in the management operations sheet, there is a sheet here called AORs, which is basically the area of responsibilities. And so one thing is, like, we’re just documenting, like, as fast as possible everything that happens in the company.
335 00:43:57.590 ⇒ 00:44:05.530 Uttam Kumaran: And then, also, we’re documenting SOPs. So, for example, see all meetings associated with a lead. Okay.
336 00:44:06.120 ⇒ 00:44:09.130 Uttam Kumaran: What’s… how long does it take to go do that right now?
337 00:44:09.430 ⇒ 00:44:11.990 Uttam Kumaran: What’s the impact if we could do that faster?
338 00:44:12.220 ⇒ 00:44:14.730 Uttam Kumaran: Who is, like, directly the customer?
339 00:44:14.860 ⇒ 00:44:23.199 Uttam Kumaran: And then, like, okay, once we find out… ideally, I want to find the high-impact, low difficulty things, and those will be the first ones to pick off.
340 00:44:23.930 ⇒ 00:44:34.200 Uttam Kumaran: the nice thing is we’ve already done a lot of them, but we’re, like, we’re just, like, not 100% of the way there, and there wasn’t a customer apart from me for a while. So now that we have, like.
341 00:44:34.310 ⇒ 00:44:36.890 Uttam Kumaran: y’all in sales, we have the PM, so the…
342 00:44:37.080 ⇒ 00:44:40.200 Uttam Kumaran: The core focus for this quarter is helping sales and project management.
343 00:44:40.360 ⇒ 00:44:45.300 Uttam Kumaran: So I’ll be working to start to build out these SOPs.
344 00:44:45.390 ⇒ 00:44:47.260 Hannah Wang: For these two teams.
345 00:44:47.320 ⇒ 00:44:52.380 Uttam Kumaran: And then the AI team will basically We’ll work to think about
346 00:44:52.590 ⇒ 00:44:56.090 Uttam Kumaran: What tooling or what parts of the platform
347 00:44:56.480 ⇒ 00:45:04.279 Uttam Kumaran: need to get built. Some of these are also automations, like, they may not… they may not be… they may just be, like, we need a good Zapier thing to, like, fix this.
348 00:45:04.280 ⇒ 00:45:09.029 Hannah Wang: Yeah. But this is, like, kind of how we’re going after it. Oh, okay.
349 00:45:09.060 ⇒ 00:45:12.669 Uttam Kumaran: Yeah, so we’re gonna continue to develop the platform, but I just don’t…
350 00:45:12.830 ⇒ 00:45:18.180 Uttam Kumaran: I just don’t… I’m not confident at what point I’ll have enough Resources for that team.
351 00:45:18.550 ⇒ 00:45:27.260 Uttam Kumaran: to, like, have its own product manager. Like, I don’t think it could stand alone like that for a while. Like, our resources are always gonna go towards sales, and…
352 00:45:27.520 ⇒ 00:45:34.820 Uttam Kumaran: delivering for customers. Right. And so, I want to make it… easier for…
353 00:45:35.020 ⇒ 00:45:38.499 Uttam Kumaran: all the people on the team, like, everybody on sales and PM,
354 00:45:38.740 ⇒ 00:45:44.380 Uttam Kumaran: you guys are the closest to these problems, so… I’m sure you have some thoughts on, like, what it could look like.
355 00:45:44.730 ⇒ 00:45:45.880 Uttam Kumaran: And so…
356 00:45:46.220 ⇒ 00:45:58.419 Uttam Kumaran: It would be great if you guys could just, like, work with AI to design a version that you like, and then pass it from there. It’s way better than… right now, what’s happening is, like, I’m the main gatekeeper, I think, for a lot of these ideas.
357 00:45:59.310 ⇒ 00:46:04.889 Uttam Kumaran: Or I’m the only one that can see both sides, and that’s not, like… that’s just so limiting for us as a company.
358 00:46:05.090 ⇒ 00:46:05.800 Hannah Wang: Yeah.
359 00:46:05.970 ⇒ 00:46:10.000 Hannah Wang: I mean, even, like, the sales assets, like, revamp.
360 00:46:10.000 ⇒ 00:46:10.630 Uttam Kumaran: Yes.
361 00:46:10.630 ⇒ 00:46:11.029 Hannah Wang: It was about…
362 00:46:11.030 ⇒ 00:46:12.380 Uttam Kumaran: I use it every day.
363 00:46:12.380 ⇒ 00:46:13.330 Hannah Wang: Okay.
364 00:46:13.330 ⇒ 00:46:16.789 Uttam Kumaran: Every day, all day, I’m using that, you know?
365 00:46:16.790 ⇒ 00:46:19.210 Hannah Wang: Are you using the new version or the old one?
366 00:46:19.380 ⇒ 00:46:21.249 Uttam Kumaran: I don’t know…
367 00:46:21.250 ⇒ 00:46:22.840 Hannah Wang: I don’t know if the new one is on.
368 00:46:22.840 ⇒ 00:46:26.399 Uttam Kumaran: I don’t think the new one got pushed yet. I’m using whatever is here, but, like.
369 00:46:26.420 ⇒ 00:46:29.040 Hannah Wang: Okay, yeah. Yeah, this has completely changed my workflow.
370 00:46:29.170 ⇒ 00:46:29.730 Hannah Wang: Yeah.
371 00:46:30.140 ⇒ 00:46:39.250 Uttam Kumaran: And the tags are gonna even be better. But another thing, like, I wanted… I wanted… for example, today, me and Ryan are going back and forth on what case study is helpful for
372 00:46:39.400 ⇒ 00:46:40.549 Uttam Kumaran: our email to HeyReach.
373 00:46:40.550 ⇒ 00:46:41.490 Hannah Wang: Right.
374 00:46:41.490 ⇒ 00:46:46.680 Uttam Kumaran: that’s something that we should… an AI should have access to all these, where you can search in, like.
375 00:46:47.190 ⇒ 00:46:51.490 Uttam Kumaran: you could just say, ask the AI, right? And again, I think we’re, like, 3 hours from that.
376 00:46:51.490 ⇒ 00:46:51.850 Hannah Wang: Oh, that’.
377 00:46:51.850 ⇒ 00:46:55.530 Uttam Kumaran: But that’s… yeah, you know, like, why can’t AI just tell us?
378 00:46:56.320 ⇒ 00:46:58.589 Hannah Wang: I didn’t even think that… yeah.
379 00:46:58.590 ⇒ 00:47:04.269 Uttam Kumaran: Yeah, look through all these PDFs and tell me what’s… I’m talking to HeyReach, they’re a B2B SaaS,
380 00:47:05.110 ⇒ 00:47:13.959 Uttam Kumaran: And it should come up with the four that are relevant. It should say, great, you should send them our data deck, you should send them to StackBlitz 1, and here’s another one. Perfect.
381 00:47:14.110 ⇒ 00:47:14.920 Hannah Wang: You know?
382 00:47:15.940 ⇒ 00:47:18.960 Hannah Wang: I want to request that, actually, that’s so… yeah, that’s helpful.
383 00:47:18.960 ⇒ 00:47:26.619 Uttam Kumaran: Yeah, but see, this is the thing, okay, so where do we start? Okay, let’s say you now want to add an agent here, so now you can go to AI,
384 00:47:27.210 ⇒ 00:47:29.060 Uttam Kumaran: you can go to Magic Patterns.
385 00:47:29.310 ⇒ 00:47:35.230 Uttam Kumaran: you can use speech-to-text, like Whisper or something, you can just blab into there, and then have it do a first version.
386 00:47:35.230 ⇒ 00:47:36.290 Hannah Wang: Okay, cool.
387 00:47:36.290 ⇒ 00:47:38.399 Uttam Kumaran: Without having the constraints of, like.
388 00:47:39.000 ⇒ 00:47:44.970 Uttam Kumaran: I don’t want… you know, when you design, you don’t want to be in a constrained environment when you design. Leave that
389 00:47:45.090 ⇒ 00:47:49.790 Uttam Kumaran: to the designers and then the AI team to then figure out what’s possible, but…
390 00:47:50.160 ⇒ 00:47:57.369 Uttam Kumaran: I want to open up the fact that, like, these ideas are totally possible, and it shouldn’t wait for, like.
391 00:47:57.910 ⇒ 00:48:00.020 Uttam Kumaran: Me to push one of these a week.
392 00:48:00.020 ⇒ 00:48:02.440 Hannah Wang: Yeah. Everybody should be able to do this, you know?
393 00:48:02.480 ⇒ 00:48:07.750 Uttam Kumaran: Yeah. Like, one of the things I want in the platform is I want to be able to chat with multiple meetings.
394 00:48:07.750 ⇒ 00:48:08.090 Hannah Wang: Yes.
395 00:48:08.090 ⇒ 00:48:23.149 Uttam Kumaran: Like, I want to go to a specific client and say, great, I want to pull all of the sprint review meetings for a client, and I want to literally drag them into a chat, and then say, like, pick out a couple of the learnings from these meetings.
396 00:48:23.150 ⇒ 00:48:23.550 Hannah Wang: Huh.
397 00:48:23.550 ⇒ 00:48:30.599 Uttam Kumaran: or I want to go… I want to select all of our sales meetings, load them into a chat, and then say, like.
398 00:48:30.890 ⇒ 00:48:33.600 Uttam Kumaran: Give me ideas of how we can improve the sales process.
399 00:48:33.660 ⇒ 00:48:36.630 Hannah Wang: Why has that not been made available yet?
400 00:48:36.630 ⇒ 00:48:44.600 Uttam Kumaran: there’s nobody’s thought about it, and nobody’s put forth a design on it. So, I’m gonna go to Magic Patterns tonight, I’m gonna give it my idea.
401 00:48:44.730 ⇒ 00:48:49.240 Uttam Kumaran: And then it’s gonna generate me something, and then I’ll iterate within.
402 00:48:49.920 ⇒ 00:48:51.430 Uttam Kumaran: We’ll get there, you know?
403 00:48:52.270 ⇒ 00:49:02.769 Hannah Wang: that… that feature actually will be super helpful, because I feel like you guys constantly pitch Brainforge, and the language is probably changing, so yeah, even dragging, like, our latest
404 00:49:02.950 ⇒ 00:49:12.160 Hannah Wang: sales meetings and being like, okay, help me draft up, like, a one-liner if I want to send, like, a message to someone on LinkedIn, and then it’ll, like, come up with
405 00:49:12.200 ⇒ 00:49:27.549 Hannah Wang: whatever, like, verbiage you guys use in meetings, like, I feel like I’ve always… now that I’m thinking about it, like, that’s always super helpful to have, but… like, those small blurbs, but I feel like it’s ever-changing, because we’re evolving as a company, too, so…
406 00:49:27.550 ⇒ 00:49:28.330 Uttam Kumaran: Yeah.
407 00:49:28.690 ⇒ 00:49:31.990 Hannah Wang: I agree. I want that feature, too.
408 00:49:31.990 ⇒ 00:49:36.649 Uttam Kumaran: Yeah, and then also, like, we started generating a meeting scoring system. We should put the scores here, and we should.
409 00:49:36.650 ⇒ 00:49:36.990 Hannah Wang: I’m.
410 00:49:36.990 ⇒ 00:49:40.250 Uttam Kumaran: And then also, like, I want to be able to search
411 00:49:40.570 ⇒ 00:49:43.109 Uttam Kumaran: I want to be able to search across transcripts, right?
412 00:49:43.110 ⇒ 00:49:43.620 Hannah Wang: Yeah.
413 00:49:43.620 ⇒ 00:49:47.580 Uttam Kumaran: So, I want to be able to search, like, tell me anything where we referenced
414 00:49:48.070 ⇒ 00:49:52.530 Uttam Kumaran: like, a tool, or a type of tool, and go search. Take 5 minutes and go search.
415 00:49:52.690 ⇒ 00:49:56.440 Uttam Kumaran: I don’t care, right? Like, those are the things that I think are really, really…
416 00:49:57.230 ⇒ 00:50:00.610 Uttam Kumaran: would be kind of insane to have, you know? Right.
417 00:50:01.550 ⇒ 00:50:05.209 Uttam Kumaran: And that’s where, again, like, I think if it’s limited by, like.
418 00:50:05.360 ⇒ 00:50:08.220 Uttam Kumaran: Me having the idea, and then it having the…
419 00:50:08.470 ⇒ 00:50:22.780 Uttam Kumaran: It just doesn’t work like that. And also, like, I want to be able to ship stuff, like, I want to have that idea, have the design, run it by y’all, get it approved, put it into Cursor, get it 80% of the way there, ship it to the AI team, and then they wrap it up and get it out.
420 00:50:22.780 ⇒ 00:50:23.440 Hannah Wang: Yeah.
421 00:50:23.440 ⇒ 00:50:24.989 Uttam Kumaran: Instead of it taking 4 weeks.
422 00:50:25.100 ⇒ 00:50:30.969 Hannah Wang: Yeah, seriously. I think having… also, Ryan is now working on a lot of sales stuff, I’m sure he’ll have…
423 00:50:30.970 ⇒ 00:50:31.450 Uttam Kumaran: Excellent.
424 00:50:31.450 ⇒ 00:50:32.099 Hannah Wang: A lot of ideas.
425 00:50:32.100 ⇒ 00:50:33.070 Uttam Kumaran: Totally.
426 00:50:33.070 ⇒ 00:50:39.080 Hannah Wang: Cause I don’t think he’s, like, really touched this platform. I feel like you and me are probably the only ones who really…
427 00:50:39.490 ⇒ 00:50:42.620 Uttam Kumaran: Well, we’re also starting to measure it, by the way, in post-hoc, if you want to go…
428 00:50:42.620 ⇒ 00:50:44.350 Hannah Wang: Cool, yeah, I wanna see.
429 00:50:44.350 ⇒ 00:50:49.180 Uttam Kumaran: So this week, Sam’s, like, working a little bit on measurement, but if you go into post hoc.
430 00:50:49.610 ⇒ 00:50:52.819 Uttam Kumaran: you should see this other… you can see the Brainforge platform here.
431 00:50:52.820 ⇒ 00:50:53.350 Hannah Wang: Yeah.
432 00:50:54.240 ⇒ 00:50:58.750 Uttam Kumaran: And… I mean, some people are using…
433 00:50:58.750 ⇒ 00:50:59.130 Hannah Wang: Okay.
434 00:50:59.130 ⇒ 00:50:59.730 Uttam Kumaran: I’ve…
435 00:50:59.870 ⇒ 00:51:04.320 Uttam Kumaran: I should… I should ask him to put in the users here, but I mean, I use this, like, all the time.
436 00:51:04.320 ⇒ 00:51:05.040 Hannah Wang: Yeah.
437 00:51:05.040 ⇒ 00:51:09.309 Uttam Kumaran: Also, our website’s getting a lot of traffic, by the way. I don’t know if you’ve looked at…
438 00:51:09.680 ⇒ 00:51:11.180 Uttam Kumaran: this recently.
439 00:51:11.730 ⇒ 00:51:16.320 Uttam Kumaran: But maybe… You should, because we’re getting a lot of traffic.
440 00:51:16.910 ⇒ 00:51:17.460 Hannah Wang: Yeah.
441 00:51:17.460 ⇒ 00:51:23.650 Uttam Kumaran: like… A lot of, yeah, a lot of pages.
442 00:51:23.650 ⇒ 00:51:25.060 Hannah Wang: Rangers, yeah.
443 00:51:25.060 ⇒ 00:51:33.620 Uttam Kumaran: Blog pages, and then we also have, We have… where’s dashboards?
444 00:51:37.210 ⇒ 00:51:42.299 Uttam Kumaran: Yeah, you can see, like, what people are clicking about, clicking on in the last 30 days.
445 00:51:42.300 ⇒ 00:51:45.680 Hannah Wang: Oh, wow. Oh, wow. 50? Okay.
446 00:51:45.870 ⇒ 00:51:48.500 Uttam Kumaran: Yeah, so people are looking at our stuff.
447 00:51:48.780 ⇒ 00:51:50.610 Uttam Kumaran: And,
448 00:51:51.170 ⇒ 00:51:56.459 Uttam Kumaran: You can also see that in the last 30 days, we have a lot of people from ChatGPT, Gemini.
449 00:51:56.460 ⇒ 00:51:57.330 Hannah Wang: Oh, cool.
450 00:51:57.330 ⇒ 00:51:59.090 Uttam Kumaran: Flexity, Claude…
451 00:51:59.510 ⇒ 00:52:05.929 Uttam Kumaran: And I actually think you can even go into these sessions. If you go into, like, session replay.
452 00:52:05.930 ⇒ 00:52:06.350 Hannah Wang: R.
453 00:52:06.350 ⇒ 00:52:08.160 Uttam Kumaran: You can actually just go, like…
454 00:52:08.380 ⇒ 00:52:10.450 Uttam Kumaran: This is someone, like, clicking around our site.
455 00:52:10.450 ⇒ 00:52:12.880 Hannah Wang: Dude, that’s crazy. What the heck? Okay.
456 00:52:14.520 ⇒ 00:52:17.329 Uttam Kumaran: And so they exited out, and they got a pop-up, maybe, or something, I don’t know.
457 00:52:19.450 ⇒ 00:52:21.560 Uttam Kumaran: So, see, someone was looking at this on their phone.
458 00:52:21.890 ⇒ 00:52:24.130 Uttam Kumaran: And look at the… it’s cut off.
459 00:52:24.130 ⇒ 00:52:25.960 Hannah Wang: Oh, shoot, okay.
460 00:52:27.320 ⇒ 00:52:28.979 Uttam Kumaran: They’re trying to scroll, see?
461 00:52:30.730 ⇒ 00:52:35.649 Uttam Kumaran: Yeah, but, like, this is… Yeah, this is it.
462 00:52:35.650 ⇒ 00:52:43.260 Hannah Wang: That’s crazy. I… I know I asked Haleem a while ago to block Like, our team…
463 00:52:43.990 ⇒ 00:52:53.659 Hannah Wang: because I… like, how many of this is, like, our team testing it out versus, like, actual users? I don’t… I don’t really know. I don’t know if our IPs are blocked.
464 00:52:53.660 ⇒ 00:52:55.870 Uttam Kumaran: No, we are blocking it out, we are blocking it out.
465 00:52:56.150 ⇒ 00:53:01.159 Hannah Wang: Is it… how many… do you know how many? Because I know it was just, like, you, me, and, like, Haleem and Ann.
466 00:53:01.160 ⇒ 00:53:02.180 Uttam Kumaran: Oh…
467 00:53:02.180 ⇒ 00:53:02.760 Hannah Wang: bit.
468 00:53:04.040 ⇒ 00:53:08.089 Uttam Kumaran: I don’t know, actually. I don’t actually know if it’s everybody.
469 00:53:09.460 ⇒ 00:53:11.189 Hannah Wang: Anyway, yeah.
470 00:53:11.190 ⇒ 00:53:17.560 Uttam Kumaran: But yeah, like, this is working really well, but this is a… this is a… yeah. So, I don’t know, there’s a lot of interesting stuff, like…
471 00:53:17.800 ⇒ 00:53:22.380 Uttam Kumaran: That we can keep optimizing for, but it’s cool to see that people are actually, like, looking at our stuff, you know?
472 00:53:23.650 ⇒ 00:53:26.769 Hannah Wang: And I know, Justina set up the…
473 00:53:27.020 ⇒ 00:53:40.460 Hannah Wang: the… like, when someone downloads something, it, like, notifies our channel, so I’ll keep an eye out on that to see if any of them are, like, actually qualified leads or not. Oh, I haven’t seen one in.
474 00:53:40.460 ⇒ 00:53:40.820 Uttam Kumaran: Okay.
475 00:53:40.820 ⇒ 00:53:46.639 Hannah Wang: Actually, but… I know she did set it up at one point.
476 00:53:47.220 ⇒ 00:53:47.740 Uttam Kumaran: Okay.
477 00:53:47.740 ⇒ 00:53:52.120 Hannah Wang: But anyway, yeah, I see those things, so I’ll just keep a lookout.
478 00:53:52.700 ⇒ 00:53:54.230 Uttam Kumaran: Okay. Okay.
479 00:53:54.460 ⇒ 00:53:57.500 Hannah Wang: Cool.
480 00:53:57.870 ⇒ 00:54:02.760 Hannah Wang: Okay, great. I don’t know why our traffic is going up, but .
481 00:54:03.030 ⇒ 00:54:05.149 Uttam Kumaran: What do you mean? We have great content!
482 00:54:05.390 ⇒ 00:54:06.110 Hannah Wang: Which, yeah.
483 00:54:06.110 ⇒ 00:54:06.890 Uttam Kumaran: Waves!
484 00:54:06.890 ⇒ 00:54:11.120 Hannah Wang: That’s true, and we’re going to a bunch of conferences and stuff, so…
485 00:54:11.380 ⇒ 00:54:18.219 Uttam Kumaran: Yeah, like, if you Google for Brainforge, we’re like, there’s all types of stuff on the interwebs about us, it’s insane.
486 00:54:18.700 ⇒ 00:54:20.370 Hannah Wang: Dang. Good job, bro.
487 00:54:20.370 ⇒ 00:54:22.919 Uttam Kumaran: search… if you search Brainforge, we show up, like…
488 00:54:23.650 ⇒ 00:54:26.240 Uttam Kumaran: Like, we show up a bunch, and…
489 00:54:26.240 ⇒ 00:54:27.040 Hannah Wang: Oh, yeah.
490 00:54:27.220 ⇒ 00:54:27.910 Uttam Kumaran: Yeah.
491 00:54:29.550 ⇒ 00:54:31.660 Hannah Wang: Okay, crunch-based…
492 00:54:31.660 ⇒ 00:54:38.060 Uttam Kumaran: Trends Center, I don’t really know what those are, but… I submitted our stuff to a bunch of those, so we get our SEO.
493 00:54:38.060 ⇒ 00:54:41.379 Hannah Wang: Hey, we have 4.3 reviews. That’s… that’s pretty good.
494 00:54:41.380 ⇒ 00:54:43.410 Uttam Kumaran: I know, someone left… wait, someone left a review?
495 00:54:43.410 ⇒ 00:54:46.570 Hannah Wang: Oh my gosh, someone left such a bad comment for Robert.
496 00:54:46.570 ⇒ 00:54:49.349 Uttam Kumaran: I know, I saw this, I don’t… I reported it.
497 00:54:49.880 ⇒ 00:54:50.560 Uttam Kumaran: I don’t know who…
498 00:54:50.560 ⇒ 00:54:53.929 Hannah Wang: I love him so big, ego, oh no!
499 00:54:55.410 ⇒ 00:54:56.090 Hannah Wang: That’s funny.
500 00:54:56.090 ⇒ 00:54:57.700 Uttam Kumaran: It’s all, like, it’s all of us.
501 00:54:57.920 ⇒ 00:54:58.780 Hannah Wang: Yeah.
502 00:54:58.780 ⇒ 00:55:02.270 Uttam Kumaran: Like, some of these are my friends. And it’s Brian.
503 00:55:02.270 ⇒ 00:55:04.809 Hannah Wang: Oh, Erickson, I know he worked with us, right?
504 00:55:04.810 ⇒ 00:55:05.460 Uttam Kumaran: Yeah, yeah, yeah.
505 00:55:05.460 ⇒ 00:55:06.035 Hannah Wang: Nice.
506 00:55:07.650 ⇒ 00:55:09.980 Hannah Wang: Who is this guy?
507 00:55:09.980 ⇒ 00:55:11.409 Uttam Kumaran: Yeah, Mohammed Ghalid.
508 00:55:11.410 ⇒ 00:55:13.469 Hannah Wang: I have no idea.
509 00:55:13.470 ⇒ 00:55:16.140 Uttam Kumaran: Robert, I saw this the other day, I was like, oh.
510 00:55:17.900 ⇒ 00:55:19.020 Hannah Wang: Yeah.
511 00:55:20.160 ⇒ 00:55:24.930 Hannah Wang: Oh, boo, yeah, I hope it gets And I don’t know.
512 00:55:26.090 ⇒ 00:55:27.080 Hannah Wang: Okay.
513 00:55:27.270 ⇒ 00:55:36.159 Hannah Wang: Cool, yeah, I like that idea about kind of democratizing everything with the magic patterns.
514 00:55:36.270 ⇒ 00:55:37.170 Hannah Wang: esque.
515 00:55:38.230 ⇒ 00:55:43.140 Hannah Wang: platform thing, so… That’s… yeah, I like that idea.
516 00:55:48.580 ⇒ 00:55:54.880 Hannah Wang: And then I’ll get you the thing tomorrow morning, or the, whatchamacallit?
517 00:55:56.250 ⇒ 00:56:03.090 Hannah Wang: words, the… comparison diagram. I’ll get you that tomorrow for your meeting on Thursday.
518 00:56:07.550 ⇒ 00:56:08.660 Hannah Wang: I think you’re muted.
519 00:56:08.660 ⇒ 00:56:11.079 Uttam Kumaran: Sorry, my, my mic cut out, sorry.
520 00:56:12.090 ⇒ 00:56:15.330 Uttam Kumaran: Yeah, so I’ll send a… I’ll send a thing about…
521 00:56:16.360 ⇒ 00:56:23.489 Uttam Kumaran: we’ll figure out the thing about magic patterns and stuff. I’ll make sure you’re… you’re shared there, and then, yeah, I guess just think about it, how we can…
522 00:56:23.940 ⇒ 00:56:26.709 Uttam Kumaran: start to open up, but try some of these tools, I think you’ll like them.
523 00:56:26.710 ⇒ 00:56:27.530 Hannah Wang: Yeah.
524 00:56:27.930 ⇒ 00:56:31.500 Hannah Wang: Yeah, even just looking at you using it, I was like, okay.
525 00:56:31.910 ⇒ 00:56:33.679 Hannah Wang: I can do this too.
526 00:56:33.680 ⇒ 00:56:39.430 Uttam Kumaran: Well, maybe I’ll do it next Friday meeting or something, I’ll try to get a… we’ll just do that. We’ll just play around with stuff.
527 00:56:39.430 ⇒ 00:56:40.810 Hannah Wang: Yeah, yeah.
528 00:56:43.650 ⇒ 00:56:44.510 Uttam Kumaran: Okay.
529 00:56:45.160 ⇒ 00:56:51.610 Hannah Wang: Alright, well… I will… Talk to you tomorrow.
530 00:56:52.330 ⇒ 00:56:53.590 Uttam Kumaran: Thank you so much.
531 00:56:53.590 ⇒ 00:56:56.220 Hannah Wang: Yeah, of course. Talk soon. Bye.