Meeting Title: Catalog-App-Discussion Date: 2024-03-18 Meeting participants: Suewong, Uttam Kumaran, Ivana Saginova
WEBVTT
1 00:01:34.920 ⇒ 00:01:35.520 Ivana Saginova: Hi sue.
2 00:01:35.820 ⇒ 00:01:36.829 suewong: Good morning!
3 00:01:36.830 ⇒ 00:01:38.669 Ivana Saginova: Good morning. How’s it going.
4 00:01:38.670 ⇒ 00:01:41.395 suewong: Good. See? Lots been going on
5 00:01:43.430 ⇒ 00:01:45.579 suewong: too much going on, probably.
6 00:01:45.740 ⇒ 00:01:46.460 Ivana Saginova: There! You!
7 00:01:46.820 ⇒ 00:01:48.030 suewong: Yeah, how about you?
8 00:01:48.260 ⇒ 00:01:52.290 Ivana Saginova: Good. It’s like the weather was really lovely in New York this weekend.
9 00:01:52.290 ⇒ 00:01:53.180 suewong: Yes.
10 00:01:53.180 ⇒ 00:01:56.088 Ivana Saginova: And that’s great great feeling.
11 00:01:57.070 ⇒ 00:01:59.170 suewong: I was there on.
12 00:01:59.920 ⇒ 00:02:02.280 suewong: let’s see, when and when was I there?
13 00:02:02.690 ⇒ 00:02:05.190 suewong: When was St. Patty’s Day parade?
14 00:02:05.310 ⇒ 00:02:06.400 suewong: Saturday?
15 00:02:06.630 ⇒ 00:02:07.999 Ivana Saginova: I think so.
16 00:02:08.259 ⇒ 00:02:11.729 suewong: Okay. Well, we got in really late. We got in about midnight on
17 00:02:12.299 ⇒ 00:02:15.399 suewong: Saturday morning, Friday night, and
18 00:02:16.129 ⇒ 00:02:20.679 suewong: we were there a few days before watching the Ncaa. Like the bottom half.
19 00:02:21.089 ⇒ 00:02:24.249 suewong: And and then when we came back.
20 00:02:24.749 ⇒ 00:02:34.039 suewong: I thought, All right, we’ll spend the night here. He had to go somewhere, and I had to be somewhere during that day. He left really early. And then I realized, I’m like, Oh, my gosh! This is the final
21 00:02:34.759 ⇒ 00:02:39.669 suewong: like group of teams playing. So the hotel was packed
22 00:02:40.099 ⇒ 00:02:51.889 suewong: and elevators are moving. I’m like, Oh, goodness! And that on the news like, Oh, it’s saint! How do you say parade, and I’m like, Oh, my God! It’s too much going on. I can’t go to where I wanted to go. I totally forgot about everything.
23 00:02:51.890 ⇒ 00:02:52.970 Ivana Saginova: Oh!
24 00:02:52.970 ⇒ 00:02:57.210 suewong: Yes, but it was a sea of green in the city, so it was really really cool.
25 00:02:57.620 ⇒ 00:02:58.640 Ivana Saginova: That’s great!
26 00:02:58.640 ⇒ 00:03:00.099 suewong: Yeah. Did you go out at all?
27 00:03:00.250 ⇒ 00:03:06.279 Ivana Saginova: I was in Brooklyn, so I I had a fun day. My friend has a Bagel company, and she had a pop up.
28 00:03:06.410 ⇒ 00:03:17.070 Ivana Saginova: and then my other friend and I went to Ikea, and then we were in Williamsburg, driving around. So it’s just a very cute day. But I didn’t see the parade. Obviously it’s probably Manhattan. It was just gorgeous to be out.
29 00:03:17.070 ⇒ 00:03:21.250 suewong: It was. It was really nice, and I I didn’t go outside yet today, but it sounds.
30 00:03:21.250 ⇒ 00:03:22.505 Ivana Saginova: I know me too.
31 00:03:24.630 ⇒ 00:03:31.600 suewong: When I’m in Florida it’s nice and sunny and 80. And I’m like, Okay, need to go outside and get, you know, little vitamin D. And
32 00:03:31.870 ⇒ 00:03:34.229 suewong: and then, all of a sudden, 6 o’clock won’t happen.
33 00:03:34.230 ⇒ 00:03:39.999 Ivana Saginova: Literally. No, it’s so hard. My boyfriend will come home from work, and he’s like, Did you go outside today? I’m like, Oh, no.
34 00:03:40.735 ⇒ 00:03:41.230 suewong: Terrible!
35 00:03:41.230 ⇒ 00:03:42.356 Ivana Saginova: So bad.
36 00:03:42.920 ⇒ 00:03:45.900 suewong: You, you know working from home is great, except you don’t leave.
37 00:03:45.900 ⇒ 00:03:47.120 Ivana Saginova: Exactly. Yeah.
38 00:03:47.190 ⇒ 00:03:50.097 suewong: Sometimes I’m like, hey? Do you think we should?
39 00:03:50.430 ⇒ 00:03:52.790 suewong: do you think we should have a lunch meeting.
40 00:03:53.656 ⇒ 00:03:54.523 Ivana Saginova: Outside.
41 00:03:55.390 ⇒ 00:03:58.620 suewong: Person. Hi! You Tom!
42 00:03:58.810 ⇒ 00:04:00.020 Uttam Kumaran: Hi! How are you?
43 00:04:00.190 ⇒ 00:04:03.322 suewong: Good. We were telling how busy we are always.
44 00:04:03.980 ⇒ 00:04:06.260 Uttam Kumaran: Yeah, you could say that again.
45 00:04:08.210 ⇒ 00:04:18.669 suewong: It’s amazing how things fly by. Oh, my gosh, this is just some things are out of our control, because it’s, you know, things pop up. So that’s been happening on my end. And you know.
46 00:04:18.670 ⇒ 00:04:19.969 Uttam Kumaran: And I totally understand.
47 00:04:19.970 ⇒ 00:04:28.110 suewong: Yeah, yeah, I mean, this is a side project of mine. And then there’s always this other big thing I’m like, Oh, my, gosh, okay, that’s coming up soon. We have a big event coming up.
48 00:04:30.500 ⇒ 00:04:42.510 Uttam Kumaran: Cool. I mean, I guess we just wanted to jump right in on if you had a chance to kind of take a look at a proposal or any thoughts you had, or, yeah, just general in a few weeks. So overall how you’re feeling about the project.
49 00:04:42.510 ⇒ 00:04:47.796 suewong: Yes, it has been. I was looking I had Jordan Ellen also research and look at different
50 00:04:48.110 ⇒ 00:04:49.970 suewong: apps that’s out there.
51 00:04:49.980 ⇒ 00:04:58.699 suewong: and what I’m seeing is that there is a a ton out there, and the number of followers, etc.
52 00:04:58.770 ⇒ 00:04:59.850 suewong: Now.
53 00:04:59.980 ⇒ 00:05:03.130 suewong: I myself don’t get on a lot of those things
54 00:05:04.060 ⇒ 00:05:05.500 suewong: in general.
55 00:05:05.540 ⇒ 00:05:08.099 suewong: because that’s not where my focus had been.
56 00:05:08.200 ⇒ 00:05:17.589 suewong: And I had seen that these long, these apps have been launched, and they have X amount of followers, but doesn’t seems to be not growing significantly, but more stagnant
57 00:05:18.220 ⇒ 00:05:24.140 suewong: and and that may be due to either. When it was
58 00:05:24.820 ⇒ 00:05:30.740 suewong: launched it was launched at a period of time where maybe there are certain functionalities or
59 00:05:30.790 ⇒ 00:05:31.440 suewong: or
60 00:05:32.160 ⇒ 00:05:34.959 suewong: adoption, for it was was low.
61 00:05:35.030 ⇒ 00:05:42.189 suewong: or the maintenance cost becomes too high. So I wanted to get your thoughts on that since you’ve been more in this space.
62 00:05:42.410 ⇒ 00:05:53.180 suewong: And then I wanted to cause I wanted to make sure it’s realistic of what we’re doing and the functionality and the ease of it, because, like everything else, if it’s not easy to use
63 00:05:53.640 ⇒ 00:05:58.040 suewong: it won’t be used even the best ideas that come to mind.
64 00:05:58.150 ⇒ 00:06:22.170 suewong: And then, from a total cost standpoint, I wanted to narrow in to make sure. I I get a bearing on the total expose cost from a budget standpoint per month between yours and I’m honest cost, you know. There’s hosting, and then there’s engineering and coding. So I wanted to get a rough idea of how much that would be, how long it would take.
65 00:06:22.470 ⇒ 00:06:28.660 suewong: based on the experiences that you have had, you know. Is this a budgeted to get from
66 00:06:28.790 ⇒ 00:06:31.580 suewong: design development test launch?
67 00:06:31.670 ⇒ 00:06:34.270 suewong: Realistically, is this a 3 month
68 00:06:34.760 ⇒ 00:06:45.630 suewong: process 6 month process, you know, so that we budget accordingly. And then, with all of the players, and all of the requirements to get it to
69 00:06:47.150 ⇒ 00:06:48.270 suewong: the
70 00:06:48.520 ⇒ 00:06:51.549 suewong: testing launch post launch.
71 00:06:51.640 ⇒ 00:07:04.440 suewong: What does that look like? Because, you know, if the total cost becomes like, okay, this is, gonna be a $50,000 cost project cost before we even get anywhere. I would like to get it bearing on that.
72 00:07:05.850 ⇒ 00:07:21.239 Uttam Kumaran: Yeah. So let’s I mean, talk about the first portion there. So I I kind of did the same research. And I noticed the same thing. There are some people that do this. There are people that have had success on this. It doesn’t. I don’t know whether this is like a growing field. But
73 00:07:21.250 ⇒ 00:07:40.459 Uttam Kumaran: what you mentioned about people wanting to do this sort of effort exists, or it is a problem I think the biggest thing to think about is like how this grows and what your goals are for the product itself like is this something that ties into any other initiative? Is this like a pure stand alone, like, we actually want to start
74 00:07:40.530 ⇒ 00:07:57.840 Uttam Kumaran: like a company around this right? And then understanding, basically like, how much time you want to spin on in what is like, our first milestone. Right? Is that like, okay, we want like a thousand paying users. Or do we want something else. Right? So that’s what I would suggest as putting the first
75 00:07:57.840 ⇒ 00:08:17.950 Uttam Kumaran: goals in place for what is our initial milestone for like, okay, this, this product, this project has some light. The second thing and again, you don’t have to think about. Oh, that’s like a thousand people to go to talk to right like there’s marketing efforts. Well, there’s there’s things to do where you can run ads and things like that. But really, that helps understand? Like, what’s the total scope of like an initial
76 00:08:17.980 ⇒ 00:08:25.909 Uttam Kumaran: proof of concept. And then it’s like, what what do we have driving there? So in order to get in terms of like success, like a proof of concept.
77 00:08:26.241 ⇒ 00:08:36.198 Uttam Kumaran: One, it would say, okay, let’s establish a goal there. Second thing is on the engineering and design and marketing side. Yeah, certainly, if I want to put a budget in place.
78 00:08:36.720 ⇒ 00:08:50.529 Uttam Kumaran: there’s a couple of big factors. So one for the designs. It’s a probably a bit more manageable because we know what screens we want to design. We generally probably have, like, I like to think of things like what are what’s like the margin we have, we’re probably like
79 00:08:50.600 ⇒ 00:09:10.800 Uttam Kumaran: we could probably guesstimate within, like the 30% accuracy of like what the designs this is gonna look like, how much time it’s gonna take. The engineering will kind of build off of that. But on the engineering side there’s gonna be a higher buffer. However, there’s a lot of ways to get that done cheaper, and then to make adjustments to say, Hey, let’s put a 3 month hard
80 00:09:10.860 ⇒ 00:09:12.479 Uttam Kumaran: cap on this.
81 00:09:12.640 ⇒ 00:09:33.789 Uttam Kumaran: and let’s see if how many screens we can develop, and then, of course, always driving towards what our initial goal was. So I would say, it’s best to set a timeline goal and like a user growth goal. But your, the product is always going to be evolving. So it’s always best to say, like, let’s just spend 3 months and drive towards both design as well as
82 00:09:33.790 ⇒ 00:09:52.129 Uttam Kumaran: starting engineering side. Like, I have a host of different options that we can go with. Like I again, I have a lot of partners that I work with that run engineering firms very cheaply where they they have, like one or 2 people here in the State that a bunch of people outsourced and they develop, you know, high fidelity applications.
83 00:09:52.550 ⇒ 00:10:02.160 Uttam Kumaran: So the process would be taking whatever our initial designs are, and then going and getting a quote for that. And then that would just again we would have a fixed budget for that, I think.
84 00:10:02.694 ⇒ 00:10:11.060 Uttam Kumaran: I mean again, I would suggest we try to set as tight of a timeline as possible, but something realistic, specific to really like, accomplish
85 00:10:11.699 ⇒ 00:10:18.640 Uttam Kumaran: like getting an app out into the ecosystem that you can then, you know, run some paid marketing against, or then some marketing events.
86 00:10:19.052 ⇒ 00:10:25.820 Uttam Kumaran: I don’t think like with the screens we have and if we just narrowed on the functionality like any of this is not
87 00:10:25.920 ⇒ 00:10:33.415 Uttam Kumaran: possible. I just wanna really narrow down on that. And then also, like, Get started on the project right.
88 00:10:33.880 ⇒ 00:10:39.679 suewong: So what does yeah, what is the engineering? The engineering is the coding side. Right?
89 00:10:40.270 ⇒ 00:11:01.110 Uttam Kumaran: Yes, exactly. So. That’s like taking all the screens from Avon aside and making it a reality. And, like Ios, apps are all like swift. So they would write all that code and swift or and react. And then basically hosting and getting that code up. It depends. I would say, it’s it’s gonna at least vary from a few grand a month to
90 00:11:01.150 ⇒ 00:11:17.909 Uttam Kumaran: like, maybe double or triple, that it kind of depends on our timeline. But the app. Isn’t that complicated? There were some features we talked about that involved like some interesting technical stuff. But again, if we avoid a lot of that for the first run. This doesn’t seem like that complex an app
91 00:11:17.920 ⇒ 00:11:26.000 Uttam Kumaran: I can kind of shop around for quotes even this week, but I don’t think beyond like a couple of grand for the engineering.
92 00:11:26.446 ⇒ 00:11:30.210 Uttam Kumaran: I don’t think that’s like too out of like reason.
93 00:11:31.480 ⇒ 00:11:34.770 Uttam Kumaran: And again, that this would. This would be a couple of things. One is
94 00:11:35.108 ⇒ 00:11:48.241 Uttam Kumaran: like having a team available to kind of deploy this. And then you’re right like setting up anything for hosting, but again for for anything where it’s gonna be like less than a thousand users. That’s like, really, really negligible
95 00:11:48.700 ⇒ 00:11:51.881 Uttam Kumaran: like a couple of 100 bucks a month or less.
96 00:11:52.540 ⇒ 00:11:59.698 Uttam Kumaran: so I wouldn’t worry about any cost about like scaling this anything right now. Basically, it’s like, what is our objective and like.
97 00:12:00.400 ⇒ 00:12:09.559 Uttam Kumaran: What’s the what I what I’m gonna tell everybody that we work with is like, what’s the cheapest, fastest way we get to that. And then continuing to reduce complexity like as it comes up.
98 00:12:10.264 ⇒ 00:12:20.339 Uttam Kumaran: But the engineering teams that I’ve worked with that’s basically what they do like around it on the cheapest stuff just to get it out. But everything is done in figma and then done in react and
99 00:12:22.030 ⇒ 00:12:22.519 suewong: What is that?
100 00:12:23.290 ⇒ 00:12:23.699 Ivana Saginova: There! Go ahead!
101 00:12:23.700 ⇒ 00:12:31.489 suewong: Yeah. So what what has been? So I can get a bearing on this because when I lay out what your proposal
102 00:12:31.970 ⇒ 00:12:35.249 suewong: is, I’m laying. I I’m lying on
103 00:12:35.710 ⇒ 00:12:39.129 suewong: from a your part of honest. It’s.
104 00:12:39.150 ⇒ 00:12:49.220 suewong: you know, 10 h per week, a month, retainer 6,000, or we flip to a 40 h, which is 4,800. So it’s within that scope.
105 00:12:49.400 ⇒ 00:12:52.600 suewong: And if I said, Okay, you know, this took us
106 00:12:53.180 ⇒ 00:13:20.760 suewong: based on what we talked about, maybe I need to revisit that as well is that there’s, I think there’s some certain functionalities that I wanted, because I thought it would be a differentiator versus all the same, like everybody else, has it, I think, to be able to make it very easy for individuals to to staff and do a quick description, but also to add a time, if somebody wants that or have it fixed there to say.
107 00:13:20.760 ⇒ 00:13:35.190 suewong: You know, this is something that I do want to sell. Therefore, in 6 months, boom, I get a notification that these are the things that I I need to move along. So I think that’s one requirement that I want.
108 00:13:35.827 ⇒ 00:13:41.079 suewong: And then the others is just a nice, easy cataloging of
109 00:13:41.200 ⇒ 00:14:07.029 suewong: items so that you can one visually, people are so visually geared towards. But I’m more the old school I like to see written, you know. I just went through my our storage unit here in New York because we don’t live here. So we have this, like, you know, hybrid situation where we went through it again, and I was really upset that I had to spend another hour and a half looking through things I know I have, but I can’t remember what I have, because everything’s in a
110 00:14:07.050 ⇒ 00:14:17.339 suewong: either stored box or bag, and then we have to unzip everything. So those are the things I wanted to eliminate and thinking about. How can this app help me
111 00:14:18.110 ⇒ 00:14:24.609 suewong: be more efficient. So I’m not spending all this time and start moving things that you have.
112 00:14:24.760 ⇒ 00:14:27.249 suewong: or even know what you have, I guess.
113 00:14:27.678 ⇒ 00:14:29.350 suewong: So based on that.
114 00:14:30.555 ⇒ 00:14:32.099 suewong: Like the number
115 00:14:32.500 ⇒ 00:14:38.340 suewong: I’m trying to narrow down is this is this based on your experience? And what I’m envisioning? What I want
116 00:14:38.550 ⇒ 00:14:39.900 suewong: is this a
117 00:14:40.570 ⇒ 00:14:44.250 suewong: 2 month project to get us to launch.
118 00:14:44.970 ⇒ 00:14:49.599 suewong: or is it a month, or is it? What from your experience, what can I expect.
119 00:14:51.100 ⇒ 00:15:07.440 Uttam Kumaran: Yeah. So I mean, I’m just gonna say back to you exactly what you said. So one is like the ability to add inventory. Second thing is ability to catalog. And then, third thing is probably the ability to share. And then, fourth thing is probably, like all the scaffolding features which is like sign up, sign in.
120 00:15:08.200 ⇒ 00:15:12.289 Uttam Kumaran: Like, just like general stuff you get with an app like notifications.
121 00:15:12.470 ⇒ 00:15:34.479 Uttam Kumaran: I don’t think from an engineering perspective, any of those individual things. Is that hard? I think, Yvonne, I think the designs for just those core flows are really manageable, like probably like less than 2 months, but probably like a month. And then, basically, if those are just like 4 or 5 screens, I think that’s hard to do. I think the one thing that I would push on. Is
122 00:15:34.640 ⇒ 00:15:41.669 Uttam Kumaran: you you mentioned like trying to make this differentiated? One thing that I think would be fun to try to do is to add some of the AI stuff
123 00:15:41.690 ⇒ 00:15:47.130 Uttam Kumaran: as like a proof of concept. While we do this, particularly around adding stuff to inventory.
124 00:15:47.140 ⇒ 00:15:55.817 Uttam Kumaran: Right? Like, I’ve tried some of the apps recently. And basically, you have to take a picture. And then you add, in all the different categories, I think there’s like an opportunity to
125 00:15:56.280 ⇒ 00:16:05.659 Uttam Kumaran: basically just speed that process up with AI, and that I don’t think is actually gonna take like 5 times longer. I think it’s actually pretty simple to do these days.
126 00:16:06.150 ⇒ 00:16:06.640 suewong: So.
127 00:16:06.640 ⇒ 00:16:17.369 Uttam Kumaran: I think one thing that we can work on on the engineering side is like making the adding of inventory 10 times better. And that’s that’s like, I think, the first point of like product differentiation.
128 00:16:17.710 ⇒ 00:16:22.410 Uttam Kumaran: And I also think it’s gonna help you on the marketing side to say, like catalog with AI and stuff like that.
129 00:16:22.870 ⇒ 00:16:26.361 Uttam Kumaran: I don’t think this is that dramatic of a build
130 00:16:27.570 ⇒ 00:16:28.700 Uttam Kumaran: like, I think
131 00:16:29.060 ⇒ 00:16:34.370 Uttam Kumaran: I think 3 months is probably aggressive but reasonable. If we kicked off engineering stuff
132 00:16:34.770 ⇒ 00:16:44.099 Uttam Kumaran: this month while we start on design stuff. Basically, like, I would say, I wouldn’t want to spend more time than that to get a signal on if this is gonna be
133 00:16:44.230 ⇒ 00:16:49.859 Uttam Kumaran: like, if this is gonna be something that we want to continue to invest in. I think one month is
134 00:16:50.010 ⇒ 00:16:54.959 Uttam Kumaran: quite a lot, because we’re just only gonna be able to see the design, which again, even at that point, you can say, like.
135 00:16:55.110 ⇒ 00:16:57.119 Uttam Kumaran: I’m happy, or I’m not happy. But.
136 00:16:57.120 ⇒ 00:16:57.500 suewong: Hmm.
137 00:16:57.500 ⇒ 00:17:01.160 Uttam Kumaran: I think, as a whole, to get something out the door. I think 3 months.
138 00:17:01.400 ⇒ 00:17:10.089 Uttam Kumaran: It’s like probably the fastest. I would be confident in doing it, because I don’t. I don’t know where things are, gonna have issues. And there’s gonna be people involved. But
139 00:17:10.670 ⇒ 00:17:14.419 Uttam Kumaran: I would say, I don’t want to spend more than 6 months before we get some out. The door on this.
140 00:17:16.839 ⇒ 00:17:20.619 Uttam Kumaran: I don’t know, Yvonne, if you wanna talk about the designs, but that that seems like even
141 00:17:20.959 ⇒ 00:17:23.369 Uttam Kumaran: pretty manageable in terms of screens.
142 00:17:23.369 ⇒ 00:17:26.959 Ivana Saginova: I mean, I’m sorry. I feel good about everything you said. I feel like for design like
143 00:17:27.109 ⇒ 00:17:31.639 Ivana Saginova: a month is good, right? It just depends. Like, if you wanted. Yeah, I I
144 00:17:32.219 ⇒ 00:17:50.119 Ivana Saginova: based on everything you said. I think it’d be fine. The only question that comes to mind is like the later on, right like, do you wanna build a company around this like, do you wanna like the ongoing needs of like continuing to iterate? But for the first one we could totally have designs up for. Like what you mentioned, I can get the screens done. Yeah.
145 00:17:51.370 ⇒ 00:17:57.650 suewong: I mean ideally what you know? When I, when I knew, I threw a lot out there and it’s almost,
146 00:17:58.360 ⇒ 00:18:00.920 suewong: you know I do it intentionally, because
147 00:18:00.930 ⇒ 00:18:06.949 suewong: I do think about the bigger picture of where it can go. And there was different applications for it.
148 00:18:08.090 ⇒ 00:18:09.090 suewong: And
149 00:18:09.140 ⇒ 00:18:14.909 suewong: because I can see it adapt to. You know, the sports side. I think we talked about that.
150 00:18:14.910 ⇒ 00:18:15.390 Uttam Kumaran: Yeah.
151 00:18:15.390 ⇒ 00:18:26.779 suewong: And we can adapt it to this this very common of closet. Or do we start off with sports? Because it’s it’s A broader stroke of
152 00:18:27.310 ⇒ 00:18:30.949 suewong: of the of the population. Who would say.
153 00:18:31.190 ⇒ 00:18:37.559 suewong: and you know what? That’s something I didn’t do. I should have done that. I I should have looked to see if there was something, for.
154 00:18:38.030 ⇒ 00:18:41.060 suewong: you know, sports collector or collectors
155 00:18:41.240 ⇒ 00:18:42.360 suewong: where
156 00:18:42.680 ⇒ 00:18:45.629 suewong: there’s so much of everything. You just forget what you have
157 00:18:45.890 ⇒ 00:18:50.670 suewong: and and then, you know, and then to to be able to say.
158 00:18:51.110 ⇒ 00:18:58.960 suewong: you know, is that the path that I want to take? Or is that the better path, because there’s not that, you know the space is not as crowded.
159 00:19:01.310 ⇒ 00:19:09.299 suewong: and I know the closet thing was more of trying to meet a need that I’ve been having for years and and I can’t seem to solve for myself.
160 00:19:09.590 ⇒ 00:19:20.980 suewong: But yet there’s a lot of apps out there already, and so so strategically, I can see the speaker umbrella of the closet, the Memorabilia, the the collections in general
161 00:19:21.370 ⇒ 00:19:22.355 suewong: and
162 00:19:23.790 ⇒ 00:19:38.160 suewong: and and starting to move all these these items? And you know monetizing it. Even if someone said, you know my personal belongings that ties to items that are to be
163 00:19:39.330 ⇒ 00:19:44.549 suewong: itemize for insurance for anything like that. Still, valuable information
164 00:19:44.720 ⇒ 00:19:54.770 suewong: that you’re training someone to do something that they should have done years ago. But later in life have. And you know, it’s always about influence in change, right?
165 00:19:54.860 ⇒ 00:20:02.120 suewong: And that’s what I’m hoping to do is influence, change, influence, behavior, that we always think that we have a good grasp on.
166 00:20:02.370 ⇒ 00:20:04.849 suewong: but when the time is needed, not so much
167 00:20:05.420 ⇒ 00:20:06.920 suewong: because we’re all scrambling.
168 00:20:08.360 ⇒ 00:20:13.329 suewong: and I think about the multiple times that I’ve moved, and I’ve been irritated with
169 00:20:13.710 ⇒ 00:20:15.639 suewong: Oh, my God! I have so many stuff like why.
170 00:20:15.640 ⇒ 00:20:16.450 Uttam Kumaran: Yeah.
171 00:20:16.450 ⇒ 00:20:18.834 suewong: 4 sets of knives.
172 00:20:19.430 ⇒ 00:20:26.589 Uttam Kumaran: I I think it’s worth continuing to push the big picture right. And I think our job is to then say, like, How does that transition. I don’t.
173 00:20:26.620 ⇒ 00:20:28.979 Uttam Kumaran: I’m not saying think smaller.
174 00:20:29.440 ⇒ 00:20:49.630 Uttam Kumaran: I’m saying like our job to say, what are you thinking of broadly? How do we get that done? Fastest, cheapest, and highest quality. And so I think I think all what you said is basically just for Avona to kind of design, like what is like an omni collection kind of thing. But then, what are we designing now? What what you’re gonna see? And again.
175 00:20:49.740 ⇒ 00:21:12.460 Uttam Kumaran: I just cause I’ve worked with Avon. And then I’ve worked with engineering engineering is, gonna be slow as part of this whole thing. Unfortunately, as an engineer like, it’s kinda tough to say that the design part. You’re gonna see, we can make changes quickly. And you’ll basically see it come to life in the design. And you’ll really get a look and feel for what it’s like. So I’m confident that that’s where
176 00:21:12.460 ⇒ 00:21:26.559 Uttam Kumaran: we’ll have fun. But also you’ll get kind of like, okay, what is their initial proof of concept, and we’ll quickly can work on the next versions really within the time allotted right. So if you want to start with closet, but then we have designs ready for
177 00:21:26.900 ⇒ 00:21:42.400 Uttam Kumaran: like collections broadly, and then sports, and again can theme the whole thing. And I know that’s like kind of where you have a lot of connections and your businesses. And so it’s like, I think you can think of all those things really within this timeframe. It’s not that we start here, and then 3 months. We then talk about that. It’s.
178 00:21:42.915 ⇒ 00:21:43.429 suewong: Yes.
179 00:21:43.430 ⇒ 00:21:45.620 Uttam Kumaran: Pretty much say everything you want. And we just, yeah.
180 00:21:45.620 ⇒ 00:22:09.179 Ivana Saginova: Yeah, so I can make like a prototype that you can see like click buttons and pretend it’s like made. And you can be like, Oh, I hate this, or I actually want this, or like whatever so you can get that an idea of that like within 2 weeks, you know like it doesn’t. It’s not gonna be at the very end and then, like from a marketing standpoint like this, feels like an app. That’s not for.
181 00:22:09.180 ⇒ 00:22:19.823 Ivana Saginova: like the common person, but more of like the high net worth individuals that do have a lot of stuff, and, like yourself, you have a storage unit full of this. You’re like, I don’t know where it is, so I feel like the marketing will be
182 00:22:20.230 ⇒ 00:22:28.085 Ivana Saginova: I don’t say easier, but more on your end and in your network with people that you know have this problem and can relate and stuff like that. So I feel like, that’s an interesting.
183 00:22:28.730 ⇒ 00:22:29.910 Ivana Saginova: Differentiator.
184 00:22:29.910 ⇒ 00:22:34.180 suewong: And the other one I wanted to add because I
185 00:22:36.470 ⇒ 00:22:38.459 suewong: I find it to be
186 00:22:39.290 ⇒ 00:22:40.850 suewong: so frustrating.
187 00:22:41.040 ⇒ 00:22:46.720 suewong: And and I just just casually talking to a friend of mine at at her birthday party this weekend.
188 00:22:46.890 ⇒ 00:22:52.439 suewong: and we were just laughing about the amount of items that we have, such as shoes.
189 00:22:52.620 ⇒ 00:22:54.460 suewong: Now, you know.
190 00:22:54.590 ⇒ 00:23:04.829 suewong: hers shoe collection is much more elaborate than mine, cause I refuse to to spend that amount of money always, but she was like. Oh, you know.
191 00:23:05.751 ⇒ 00:23:14.910 suewong: I wanted to have this particular heel, you know, from my red bottoms, and I forgot where I don’t know where I put it, I couldn’t find it. So I went and bought another pair
192 00:23:16.190 ⇒ 00:23:23.739 suewong: and and then, later on, maybe a month later, because her husband was there. He’s like, and then she found it. But now we have 2 pairs.
193 00:23:24.290 ⇒ 00:23:28.349 suewong: right, a very expensive shoes, and that was just one example of many things
194 00:23:28.470 ⇒ 00:23:36.480 suewong: I would. How do I without breaking? Because I think this this also lies with the other
195 00:23:36.490 ⇒ 00:23:40.090 suewong: is remembering. And how do I relocate the items
196 00:23:40.140 ⇒ 00:23:41.179 suewong: that I have?
197 00:23:41.330 ⇒ 00:23:43.539 suewong: I know last time I talked about.
198 00:23:44.640 ⇒ 00:23:55.659 suewong: you know, once I I I take my inventory of my closet. There’s certain things that I know. We are all very good at doing, which is saying, Okay, this spot is for
199 00:23:55.830 ⇒ 00:23:58.889 suewong: this or or I’m going to influence that change
200 00:23:59.240 ⇒ 00:24:01.770 suewong: like this is where I have my
201 00:24:02.220 ⇒ 00:24:03.930 suewong: like. I have a stack of shoes.
202 00:24:04.000 ⇒ 00:24:06.960 suewong: and most people don’t keep their boxes. I do
203 00:24:07.993 ⇒ 00:24:14.709 suewong: but sometimes you’re like, Oh, I don’t remember where things are. How kind of located I wanted that locator
204 00:24:15.440 ⇒ 00:24:23.360 suewong: like an AI, some sort of locator. Because I think that is also differentiator. Just like if I had collect
205 00:24:23.520 ⇒ 00:24:24.710 suewong: to bulls like.
206 00:24:25.420 ⇒ 00:24:29.790 suewong: you know. Fortunately not everyone has a man cave or fan cave
207 00:24:30.200 ⇒ 00:24:34.009 suewong: that they just store things. How do you find it again?
208 00:24:36.450 ⇒ 00:24:51.542 Uttam Kumaran: Yeah. So I think I’m I mean at minimum you. It’s like, it’s all done through tags. I think the biggest like way you differentiate. This product is like it’s either done through like you just speak towards like where it is, or you tag a location, and then it’s like it. You kind of have that picture right?
209 00:24:52.116 ⇒ 00:24:52.769 suewong: I think.
210 00:24:52.770 ⇒ 00:25:04.990 Uttam Kumaran: The the problem with other cataloging apps is like so much information. Input, it’s like, Oh, every time I take a picture, I gotta put in like 10 different like fields. You never gonna tag everything. And so that’s where I think
211 00:25:05.240 ⇒ 00:25:11.679 Uttam Kumaran: out of the couple of things we talked about, where I think there’s actual innovation and differentiation in this is like
212 00:25:11.840 ⇒ 00:25:36.510 Uttam Kumaran: doing the taking a picture and having the AI either. You say a bunch of stuff, and then it kind of puts that all into text taxonomies. Basically, I think that’s like super possible today. And that’s where I think we should iterate on like, what is the what are, what are, what are the different things? We’re categorizing, categorizing like what the product is categorizing like your intentions on a sale process. We’re categorizing
213 00:25:36.818 ⇒ 00:25:46.060 Uttam Kumaran: where it lives. Right? So there’s different flows of like types, information, location. You know what you what you want to do with the product. So all those you should have.
214 00:25:46.230 ⇒ 00:25:49.010 Uttam Kumaran: Basically, how do we make this 10,000 faster.
215 00:25:49.210 ⇒ 00:25:49.859 suewong: The evening.
216 00:25:49.860 ⇒ 00:25:50.490 Uttam Kumaran: Exist.
217 00:25:50.490 ⇒ 00:26:00.909 suewong: Right. Do you think the tagging of the location based your experience? So that’s something that I do want? As part of the launch, because that is a key differentiator
218 00:26:01.240 ⇒ 00:26:05.010 suewong: based on what your experience has been is that
219 00:26:06.140 ⇒ 00:26:07.130 suewong: achievable.
220 00:26:07.680 ⇒ 00:26:13.819 Uttam Kumaran: Yeah. So it’s gonna be. So anything where you’re like, literally, oh, it’s like 5 feet that way, is gonna it’s like.
221 00:26:13.920 ⇒ 00:26:15.909 Uttam Kumaran: not gonna be that easy.
222 00:26:16.370 ⇒ 00:26:23.989 Uttam Kumaran: It’s basically probably not possible right now, which is like, Oh, you walk into your closet, and you’re like, Oh, it’s like to the left look down like it’s gonna be a little bit hard.
223 00:26:24.160 ⇒ 00:26:51.899 Uttam Kumaran: I mean, again, like we can continue to talk about like there’s probably stuff we can do to have that done with pictures or things like that, but breaking it down, I think at minimum. You want to be able to take a picture and then be able to tag where in your house it is, or where in your environment, it is. I think that’s totally possible. The next layer of that is okay. How do we make that? Then? 10 times faster. So every time we’ll kind of start with one motion, then we’ll say, Okay, the next iteration is like, how do we make this?
224 00:26:51.930 ⇒ 00:26:53.230 Uttam Kumaran: Much, much better.
225 00:26:53.850 ⇒ 00:26:59.520 Uttam Kumaran: The first thing I think at minimum is like being able to take a picture and and listing a location. Right? We talked about the bare minimum.
226 00:26:59.710 ⇒ 00:27:05.360 Uttam Kumaran: But I think there’s pro qualities. We can go beyond that which is like maybe taking a video. Or
227 00:27:05.520 ⇒ 00:27:14.000 Uttam Kumaran: you know, I think there’s a ton of different opportunities. But anything where it’s like it’s like at this latge. It’s gonna be. It’s like a little bit overkill. I don’t think that’s possible.
228 00:27:14.000 ⇒ 00:27:21.020 suewong: Okay, do you think I, I had discussed this about the air tag type technology where
229 00:27:21.040 ⇒ 00:27:29.279 suewong: you know you take that picture and A for for some items, and you’re able to with that
230 00:27:29.340 ⇒ 00:27:30.940 suewong: important item.
231 00:27:32.110 ⇒ 00:27:38.129 suewong: but and output a QR code so that you can output a a print out
232 00:27:38.420 ⇒ 00:27:41.200 suewong: and a printout to me. I wanted to.
233 00:27:42.340 ⇒ 00:27:44.630 suewong: You know how you have the tiles. I was.
234 00:27:45.160 ⇒ 00:27:51.289 suewong: Something along those lines. But it might not be that complicated. But if I had, like my
235 00:27:51.680 ⇒ 00:27:53.340 suewong: my Tiffany’s jewellery
236 00:27:54.080 ⇒ 00:27:58.379 suewong: that I have, and I wanted to say, Okay, here’s a catalog of what I have
237 00:27:58.580 ⇒ 00:28:01.440 suewong: and the QR code output, so that I can just
238 00:28:01.670 ⇒ 00:28:08.019 suewong: print that QR little QR code and and tape it or something, and fix it to that
239 00:28:08.060 ⇒ 00:28:09.869 suewong: item or box.
240 00:28:10.100 ⇒ 00:28:16.350 suewong: Typically everything we have is in a box or a tag of some sort, but I wanted table to print it out. Is that feasible.
241 00:28:18.320 ⇒ 00:28:31.100 Uttam Kumaran: But then so I guess I’m I’m not understanding. We scan the QR code. And then what happens? Because the QR code doesn’t have. It’s not like an air tag, meaning like the air tag you place somewhere. And then your phone has a link to that. The QR code is just a picture, so there’s
242 00:28:31.290 ⇒ 00:28:33.670 Uttam Kumaran: you can’t like. There’s no.
243 00:28:34.690 ⇒ 00:28:39.549 Uttam Kumaran: I guess, like oh, maybe you could have like a catalogue of a piece of paper where you scan it. It tells you where it is.
244 00:28:40.010 ⇒ 00:28:45.700 Uttam Kumaran: Through the app. That’s definitely possible. So, for example, maybe, like in the front of your closet, you have, like a
245 00:28:46.400 ⇒ 00:28:48.740 Uttam Kumaran: catalog binder or something you scan, and then
246 00:28:48.970 ⇒ 00:28:52.610 Uttam Kumaran: it can go to the item in your app like, that’s like a deep link thing.
247 00:28:52.610 ⇒ 00:28:53.290 suewong: Right?
248 00:28:53.430 ⇒ 00:29:00.430 suewong: So, yeah, I know the air tag part is the Geo tagging of of it. And I think that’s probably more future. Hopefully, one day.
249 00:29:00.700 ⇒ 00:29:02.690 Uttam Kumaran: And if you have a binder of all your items like.
250 00:29:02.690 ⇒ 00:29:12.210 Ivana Saginova: I guess that’s interesting, because in retail, when you like, I used to work retail Nike like you would get on your device like, oh, this isn’t been 48, and then you would scan it to be like I’m moving.
251 00:29:12.210 ⇒ 00:29:12.860 Uttam Kumaran: And to me.
252 00:29:12.860 ⇒ 00:29:19.900 Ivana Saginova: Use the camera instead of the QR codes. But then you would be introducing like you have to print out and like label Your. This is.
253 00:29:20.600 ⇒ 00:29:28.310 Ivana Saginova: Closet one. This is closet 2. This is, you know, the storage unit, whatever. And then you could scan it into be like, this is, yeah, that’s interesting.
254 00:29:28.310 ⇒ 00:29:41.879 suewong: Yes, that’s what I would like to see, cause that’s what I would think would be different and also tangible to manage and it’s part of cataloging the cataloging in a way that you just say, Okay, boom.
255 00:29:41.910 ⇒ 00:29:50.850 suewong: I scan what I just you know, we can define it, or we can limit it because of storage space. I don’t know. I was trying to solve storage space
256 00:29:51.030 ⇒ 00:29:54.918 suewong: situations, cause I’m I’m already buying 2 TV space.
257 00:29:55.690 ⇒ 00:30:00.160 suewong: And it’s just by nature that we keep on accumulating lots of images.
258 00:30:00.240 ⇒ 00:30:05.730 suewong: And how do you store all those images for like, what’s my closet? And what’s my?
259 00:30:06.750 ⇒ 00:30:13.739 suewong: You know what I mean. And then I I’m I’m just talking out loud here, but I’m thinking, how can I solve it?
260 00:30:13.890 ⇒ 00:30:21.219 suewong: Where you’re not scrolling a lot. But if you can, QR codes various things and just have it fall into its place and
261 00:30:21.370 ⇒ 00:30:24.040 suewong: scan and be like, okay, this is what I have in here.
262 00:30:24.520 ⇒ 00:30:27.780 Ivana Saginova: And then I’m thinking about in the future. It could be like A.
263 00:30:27.890 ⇒ 00:30:41.870 Ivana Saginova: The membership is you get 10 QR. Codes and you ship them a package laser engraved, and they scan it to like, activate the code, and then they can stick it along their closet. So it looks, you know sexy instead of like these printed out taped codes.
264 00:30:41.870 ⇒ 00:30:44.878 suewong: Right? Yeah, something along those lines.
265 00:30:46.530 ⇒ 00:30:48.530 suewong: so those are my thoughts.
266 00:30:49.400 ⇒ 00:30:52.962 suewong: And I wanted to test out feasibility. You know it. It’s
267 00:30:53.810 ⇒ 00:30:56.630 suewong: It’s it. I find that
268 00:30:57.090 ⇒ 00:31:03.269 suewong: you know artificial intelligence. I remember having first conversations with a business colleague
269 00:31:03.600 ⇒ 00:31:06.059 suewong: close to 30 years ago.
270 00:31:06.360 ⇒ 00:31:12.990 suewong: and we sat around and we talked about AI and people and management team thought it was so ridiculous they’ll never come
271 00:31:13.530 ⇒ 00:31:30.649 suewong: and but we talked about it, and we talked about how we were going to outfit our our awesome machine in a dental operatory. And we’re gonna show people where they can have it move it around so that they can see, and no one bought into it. They thought it was so futuristic
272 00:31:30.830 ⇒ 00:31:45.099 suewong: and that unattainable. So I wanted to now throw that in to make sure that you know, even if it’s not at the initial, how can I influence that? So that when we’re ready and pull that trigger if it’s not complicated to do
273 00:31:45.770 ⇒ 00:31:49.749 suewong: added in, if it’s complicated and we don’t have
274 00:31:50.660 ⇒ 00:31:55.160 suewong: the the experts to be able to say, Okay, this is doable.
275 00:31:55.519 ⇒ 00:32:06.960 suewong: Then, you know, then you do do that for scale phase 2. I’m just trying to find things to say. Wow! This is a really cool app, because it gives me my functionality that I need
276 00:32:07.190 ⇒ 00:32:11.150 suewong: versus. Oh, here’s another app that tells me to take pictures of my closet.
277 00:32:12.460 ⇒ 00:32:19.170 Uttam Kumaran: I think the technology is like possible. I was at a thing last week for south by Southwest here, and I met
278 00:32:19.310 ⇒ 00:32:34.960 Uttam Kumaran: these 2 women that run this company where it’s almost like honey, where it’s like an extension. And what it basically does is as you’re shopping on J. Crew, or something like that. It scans the picture of the item. And then you did AI to go find that item on a bunch of
279 00:32:35.090 ⇒ 00:32:37.979 Uttam Kumaran: reselling websites for like 80% off.
280 00:32:38.390 ⇒ 00:32:45.129 Uttam Kumaran: And that’s their whole business line. And they take whatever you’re about to buy, and they find it on the reseller.
281 00:32:45.826 ⇒ 00:32:54.630 Uttam Kumaran: And they’re just using AI for the whole thing. So like, I think this technology is is here. It’s here in like a very differentiated way. And it’s also here where, like.
282 00:32:57.800 ⇒ 00:32:58.530 Uttam Kumaran: no.
283 00:32:58.680 ⇒ 00:33:01.389 Uttam Kumaran: But I’ll first can deploy that
284 00:33:04.350 ⇒ 00:33:05.950 Uttam Kumaran: technologies
285 00:33:06.310 ⇒ 00:33:07.360 Uttam Kumaran: for purpose.
286 00:33:07.690 ⇒ 00:33:08.940 Uttam Kumaran: Currently, to me.
287 00:33:09.590 ⇒ 00:33:11.780 Uttam Kumaran: Friday is
288 00:33:12.790 ⇒ 00:33:13.480 Uttam Kumaran: so I
289 00:33:14.160 ⇒ 00:33:14.910 Uttam Kumaran: nature.
290 00:33:26.090 ⇒ 00:33:28.330 Ivana Saginova: I don’t know if it was me that cut out, or Tom.
291 00:33:28.330 ⇒ 00:33:29.821 Uttam Kumaran: Sorry you still hear me.
292 00:33:30.120 ⇒ 00:33:31.750 suewong: You’re breaking up a little bit.
293 00:33:31.750 ⇒ 00:33:39.889 Uttam Kumaran: Oh, okay, no, I. I was just basically saying that that I think the technology for scanning items and getting all that taxonomic information is totally here. So I think at minimum
294 00:33:40.170 ⇒ 00:33:44.089 Uttam Kumaran: you could take a picture or something and do a ton of categorization like.
295 00:33:44.270 ⇒ 00:33:47.389 Uttam Kumaran: what’s the brand? What’s the color? What type of vitamin is?
296 00:33:47.650 ⇒ 00:33:52.599 Uttam Kumaran: If you take a picture of it in a space where? What kind of space is it all that sort of stuff
297 00:33:52.970 ⇒ 00:33:57.519 Uttam Kumaran: you could pretty much do right now with chat should be T taking a picture. So it’s definitely possible.
298 00:33:57.730 ⇒ 00:33:58.510 suewong: Okay?
299 00:33:59.400 ⇒ 00:34:00.145 suewong: So
300 00:34:01.390 ⇒ 00:34:07.020 suewong: so based on the items that I want as a key feature for this.
301 00:34:07.560 ⇒ 00:34:16.094 suewong: do both of you need to go back and take a look and say that you know what phases is doable or not doable.
302 00:34:16.929 ⇒ 00:34:19.349 suewong: because I don’t want to do anything that we can’t do.
303 00:34:20.659 ⇒ 00:34:30.429 suewong: And I don’t want broken frameworks either. And I do want to launch with it versus without it. But if it’s without it, is there a
304 00:34:30.519 ⇒ 00:34:34.019 suewong: midway point to get us to where we need to go?
305 00:34:34.676 ⇒ 00:34:35.849 suewong: With it?
306 00:34:36.039 ⇒ 00:34:37.539 suewong: So if that makes sense
307 00:34:37.709 ⇒ 00:34:38.309 suewong: to you, yeah.
308 00:34:38.310 ⇒ 00:34:39.659 Uttam Kumaran: I I think
309 00:34:40.080 ⇒ 00:34:45.990 Uttam Kumaran: one, I think, even for all these conversations, I think it would be totally help to at least have designs, so I think we should at least
310 00:34:46.159 ⇒ 00:34:51.959 Uttam Kumaran: do a month of like Ivana’s work where we do the designs because it’s gonna help. You see
311 00:34:52.010 ⇒ 00:34:56.399 Uttam Kumaran: what the product looks like, and really really be able to direct the feedback.
312 00:34:57.133 ⇒ 00:35:02.959 Uttam Kumaran: Second is, I want to get a quote on the engineering cost to build this in 3 months.
313 00:35:02.960 ⇒ 00:35:03.430 suewong: M-hmm.
314 00:35:03.430 ⇒ 00:35:05.050 Uttam Kumaran: So I can get that.
315 00:35:05.110 ⇒ 00:35:20.239 Uttam Kumaran: And then, third, I wanna make sure that we can do the initial AI features around like adding inventory at minimum the location stuff. I think we’re still need to talk about like what that is, and the physical catalog and things like that.
316 00:35:20.690 ⇒ 00:35:25.399 Uttam Kumaran: But I think the if the initial differential point we want to do is just speeding up
317 00:35:25.420 ⇒ 00:35:31.369 Uttam Kumaran: adding items to a catalog which I think right now is is really really slow. Let’s start there and then. Let’s just
318 00:35:31.680 ⇒ 00:35:36.010 Uttam Kumaran: let’s just do all like get a quote on like 3 months to kind of build, all that.
319 00:35:36.820 ⇒ 00:35:38.490 Uttam Kumaran: My suggestion would be
320 00:35:38.710 ⇒ 00:35:43.640 Uttam Kumaran: to move forward on the designs, because I think you’re just gonna be able to really
321 00:35:43.660 ⇒ 00:35:45.330 Uttam Kumaran: almost like see it
322 00:35:45.420 ⇒ 00:35:49.620 Uttam Kumaran: on the life and the designs in a way that’s gonna really help this conversation.
323 00:35:49.620 ⇒ 00:35:50.000 suewong: Okay.
324 00:35:50.302 ⇒ 00:35:58.480 Uttam Kumaran: And really direct your feedback towards like, okay, I want this fun there. I like this layout. And then you actually, you could actually pull that out
325 00:35:58.700 ⇒ 00:36:09.989 Uttam Kumaran: on your phone when you’re talking to people and say, like, I’m building this app, what do you think and get live feedback instead of it being like a kind of an abstract. So that’s that’s like my suggestion.
326 00:36:10.160 ⇒ 00:36:19.390 suewong: I totally agree so about it. During this time, since I I have a passion for both of the 2 concepts, which was one collectibles, 2 closet
327 00:36:19.823 ⇒ 00:36:25.000 suewong: do you believe we can have both done at the same time in that month period.
328 00:36:25.210 ⇒ 00:36:31.069 Ivana Saginova: Yeah, I think they’re like visually look the same. It would just be categorizing and giving them like different fields. Right?
329 00:36:32.310 ⇒ 00:36:33.549 suewong: Right? Okay?
330 00:36:34.350 ⇒ 00:36:44.447 suewong: And I was looking also, I need to jump in about 2 min, because, I have another call that, I don’t know why I backed up right into this one. But we can definitely resume
331 00:36:46.445 ⇒ 00:36:47.090 suewong: the
332 00:36:49.130 ⇒ 00:37:00.959 suewong: I was looking at, you know, on average, how much I would be spending as a app user for just to have this hosted and let me know this is totally off.
333 00:37:01.361 ⇒ 00:37:04.860 suewong: It was saying, between 2,000 2,500 per month.
334 00:37:07.360 ⇒ 00:37:09.060 Uttam Kumaran: Oh, wow! Wait! Can you see that? One more time?
335 00:37:09.060 ⇒ 00:37:09.575 suewong: Aye.
336 00:37:10.560 ⇒ 00:37:11.949 Uttam Kumaran: Like to use the app.
337 00:37:12.608 ⇒ 00:37:15.710 suewong: To have the app via hosted, and and to you I think.
338 00:37:15.710 ⇒ 00:37:16.670 Uttam Kumaran: Oh!
339 00:37:17.360 ⇒ 00:37:18.030 suewong: Don’t you.
340 00:37:18.030 ⇒ 00:37:24.890 Uttam Kumaran: No, definitely lower. Yeah. So that’s so like, that’s just hosting. Yeah, no, no shot. Yeah, that’s like, really expensive.
341 00:37:24.890 ⇒ 00:37:31.939 suewong: Okay, alright cause I was like, cool. That might be, you know it. It makes it like, okay, is this total feasible? Since it’s gonna be expensive.
342 00:37:31.940 ⇒ 00:37:45.660 Uttam Kumaran: Yeah, I mean, yeah, like, if you Google that you’re gonna get what people say, not what the actual cost is. But yeah, there’s no chance. It will cost that much. Especially while there’s like, especially during just testing.
343 00:37:45.660 ⇒ 00:37:46.150 suewong: Right.
344 00:37:46.150 ⇒ 00:37:53.870 Uttam Kumaran: Yeah, I’d I’d be like, don’t run this for more than like a hundred bucks a month like that. I would pretty much not let that happen. Because that’s incredible.
345 00:37:54.433 ⇒ 00:37:56.000 suewong: Sasha Michael Brooke, before we.
346 00:37:56.000 ⇒ 00:38:07.260 Uttam Kumaran: Things are, I would just say, like to get. And this is again my experience. You couldn’t do things very, very cheaply these days. You just need that. Engineers, and like people that are like don’t use the most expensive stuff.
347 00:38:07.260 ⇒ 00:38:07.920 suewong: Right.
348 00:38:08.153 ⇒ 00:38:17.740 Uttam Kumaran: The problem is, there’s still like a huge gap where there’s a lot of development agencies that will just be like it’s $5,000 to host, and they pay like 100 bucks, and they just make the money. So
349 00:38:17.820 ⇒ 00:38:27.200 Uttam Kumaran: I’ll basically, I’m gonna say, run this on there the cheapest stuff. But the thing it’s not like you’re buying like a cheap car, like the thing still looks and works the same. It’s actually just like
350 00:38:27.250 ⇒ 00:38:45.240 Uttam Kumaran: you don’t need 500 horsepower. You need like 2 horse 5, because there’s like 10 people using it. So that’s that’s what we’ll do initially. So yeah, I would say, all the cost is gonna primarily go towards Evan’s time for the designs and then straight to engineering, and then any cost for me, for just kind of like
351 00:38:45.540 ⇒ 00:38:47.569 Uttam Kumaran: managing and putting everything together.
352 00:38:47.570 ⇒ 00:38:47.980 suewong: Okay.
353 00:38:47.980 ⇒ 00:38:48.930 Uttam Kumaran: Basically.
354 00:38:48.930 ⇒ 00:38:54.749 suewong: Okay, alright. So if you cannot get back to me with the open items in regards to engineering costs and time.
355 00:38:54.750 ⇒ 00:38:55.470 Uttam Kumaran: There!
356 00:38:55.470 ⇒ 00:38:58.199 suewong: And then I think that would help me. Then
357 00:38:58.280 ⇒ 00:39:07.360 suewong: you know, budget wise what the initial costs are going to be, and then a. Now we know hosting is going to be about 100 bucks a month. Blah blah blah! And then the market.
358 00:39:07.900 ⇒ 00:39:09.869 suewong: Is is a variable
359 00:39:10.839 ⇒ 00:39:13.659 suewong: yeah. So let’s do that. And
360 00:39:13.850 ⇒ 00:39:17.580 suewong: can we read what’s today? Today is only Monday
361 00:39:18.410 ⇒ 00:39:20.400 suewong: beginning of a week. It’s always good.
362 00:39:20.826 ⇒ 00:39:32.489 suewong: When can we regroup again? Just to touch base and say, this is a you know, a a a go? No, go. I I do have this other situation.
363 00:39:32.884 ⇒ 00:39:36.589 suewong: I will be having. I’ll be out of pocket for a little bit.
364 00:39:38.170 ⇒ 00:39:40.600 suewong: I’m having surgery on the 20 eighth.
365 00:39:41.550 ⇒ 00:39:44.380 suewong: and I’ll be nonfunctional for 2 weeks.
366 00:39:46.360 ⇒ 00:39:48.530 Uttam Kumaran: How about Wednesday?
367 00:39:49.040 ⇒ 00:39:50.240 suewong: And say the twentieth.
368 00:39:50.620 ⇒ 00:39:51.360 Uttam Kumaran: Yes.
369 00:39:51.360 ⇒ 00:39:54.100 suewong: Perfect. Can we get on a call
370 00:39:55.183 ⇒ 00:39:58.999 suewong: in the morning is preferred, cause I have some engagements in the afternoon.
371 00:39:59.810 ⇒ 00:40:04.499 Ivana Saginova: I’m have a call at 10 to 1030, but I’m free. Besides that, in the morning, on Wednesday.
372 00:40:05.180 ⇒ 00:40:06.260 suewong: So 11 o’clock.
373 00:40:06.560 ⇒ 00:40:07.520 Ivana Saginova: Effect.
374 00:40:07.520 ⇒ 00:40:09.829 Uttam Kumaran: I am busy 11
375 00:40:10.358 ⇒ 00:40:15.930 Uttam Kumaran: Eastern, but I can do anytime before that. I can even do. 9 am.
376 00:40:17.590 ⇒ 00:40:18.130 Uttam Kumaran: Step.
377 00:40:18.130 ⇒ 00:40:20.410 suewong: Work for you, or do you want to do noon.
378 00:40:20.410 ⇒ 00:40:21.690 Ivana Saginova: Oh, nice! That’s great!
379 00:40:21.690 ⇒ 00:40:22.740 suewong: Is that? Good?
380 00:40:23.380 ⇒ 00:40:27.229 suewong: Alright, let’s do. 9 Am. East coast time.
381 00:40:27.480 ⇒ 00:40:28.140 suewong: Okay?
382 00:40:28.560 ⇒ 00:40:30.679 suewong: And if you can send out that meeting, invite.
383 00:40:31.080 ⇒ 00:40:31.930 Uttam Kumaran: Yes.
384 00:40:31.930 ⇒ 00:40:32.930 suewong: That would be great.
385 00:40:35.450 ⇒ 00:40:37.180 Uttam Kumaran: I’ll just send it right now.
386 00:40:37.180 ⇒ 00:40:38.140 suewong: Okay. Super.
387 00:40:39.270 ⇒ 00:40:41.820 Uttam Kumaran: Okay, well, thank you guys. I’ll send an email.
388 00:40:41.820 ⇒ 00:40:42.440 suewong: This, yeah.
389 00:40:42.440 ⇒ 00:40:53.369 Uttam Kumaran: Yeah, I’ll send an email recapping. And I actually have the Ca, I wanna send you a couple of the AI examples I came across in like last 2 weeks with someone’s just doing this where they’re taking a picture of something and like categorize everything
390 00:40:53.380 ⇒ 00:40:54.830 Uttam Kumaran: just to get like.
391 00:40:55.000 ⇒ 00:41:01.860 Uttam Kumaran: I think, although I think we’ve been talking about AI for a long time, like there’s some stuff right now where the technology is really really possible.
392 00:41:02.300 ⇒ 00:41:12.380 Uttam Kumaran: And it’s just the knowledge about it is really undistributed. So I think you have a really great differentiator. If you could market the product as like AI catalog, you’ll get a lot of
393 00:41:13.080 ⇒ 00:41:14.850 Uttam Kumaran: positive motion. So.
394 00:41:14.850 ⇒ 00:41:15.365 suewong: Awesome.
395 00:41:16.930 ⇒ 00:41:19.609 Uttam Kumaran: Okay, let’s touch base again. On Wednesday.
396 00:41:19.610 ⇒ 00:41:22.730 suewong: Sounds good. Thank you so much for your time. Okay, bye.
397 00:41:22.730 ⇒ 00:41:23.370 Uttam Kumaran: I certainly.