Meeting Title: Uttam Date: 2025-03-20 Meeting participants: Leon, Uttam
WEBVTT
1 00:22:42.020 ⇒ 00:22:43.480 Uttam: Hi, Leon! Can you hear me?
2 00:22:45.560 ⇒ 00:22:47.610 Leon: Hi! Yes, yes, I can. Can you hear me?
3 00:22:47.610 ⇒ 00:23:02.016 Uttam: Hey? Yes, I’m so sorry I I’m in person with one of our clients today. And I wanted to go meet a couple of our of our users, and the meeting went late. Because I just you know, I wanted to say, Hi, we’re we’re building a
4 00:23:02.420 ⇒ 00:23:29.070 Uttam: We’re building a chap off for a customer service. You know. Set of customer service reps here in Austin. And I’m actually, I’m actually at the facility. They’re one of the biggest home and commercial service companies in Austin, and I’m meeting with their head of customer service, and I was like, Hey, we noticed a couple of users are are testing out our our solution. Do you mind if I go? Say, Hi! And so I just wanted to go apologies for the delay. I know we’ve had a hard time rescheduling this couple of times, so
5 00:23:29.210 ⇒ 00:23:31.397 Leon: All good not not to worry. That’s
6 00:23:32.055 ⇒ 00:23:32.400 Uttam: Yeah.
7 00:23:32.400 ⇒ 00:23:37.239 Leon: All good yeah. So how how’s things going at Brainforge? Sounds like you’re you’re quite busy
8 00:23:37.620 ⇒ 00:23:41.780 Uttam: Yeah, things are good. I mean, definitely busy. I think
9 00:23:41.990 ⇒ 00:23:48.499 Uttam: we are. We’re growing, especially in the last few months, I think, to give you a little bit of the lay of the land. So
10 00:23:48.640 ⇒ 00:24:08.139 Uttam: we it’s a company. I started in 2023. My background is actually in data engineering. I worked as a data engineer for a number of years in New York. And it’s actually how I met Neil. We both worked for for similar people and became good friends. And yeah, Neil has been an amazing friend and a mentor to me.
11 00:24:08.498 ⇒ 00:24:19.981 Uttam: You know. And and I’m very, very thankful for for everything he’s done. So yeah. And you know, have been building the business since mid 2023, basically.
12 00:24:20.760 ⇒ 00:24:40.759 Uttam: basically what? I what we’re what we started off doing is a lot of work in in analytics. So everything from data warehousing to data modeling, it’s actually doing bi and dashboarding. And then what we’re actually starting to do now, especially in the last few months, is is a few things around AI Building, AI Agents building Llm. Solutions
13 00:24:40.760 ⇒ 00:24:51.029 Uttam: and sort of the company is is more like 80 20 data AI in terms of customers. But we have about like 10 active clients. Right now we? We’re a team of
14 00:24:51.438 ⇒ 00:25:08.980 Uttam: you know, roughly, I would say, like 20 you know, mix of full time and part time engineering and a few, you know, internal operations, folks. And yeah, we service, you know. Primarily, we’re servicing Ecom, b 2 b saas
15 00:25:09.300 ⇒ 00:25:22.739 Uttam: b to C, sas as well, and yeah, we basically come in. We we come in. We work directly with CEO Cmos, head of growth and implement data solutions. So everything from bringing all data into a single warehouse, modeling it.
16 00:25:22.760 ⇒ 00:25:26.219 Uttam: and then sort of establishing kpis and and measurement
17 00:25:27.240 ⇒ 00:25:35.890 Leon: Great, great, great. So how did you sort of go about getting your your 1st clients? Were they? Sort of you know, industry contacts you already had? Or did you have to
18 00:25:35.890 ⇒ 00:25:37.549 Uttam: Yeah, pitching and stuff.
19 00:25:38.140 ⇒ 00:25:51.610 Uttam: It was both. So I quit my job. April of 2023. And then sort of you know, decided, okay. I don’t want to go back to another startup, and I kind of don’t want to go back to
20 00:25:51.770 ⇒ 00:26:12.640 Uttam: a big company. So let me see if I can go on on my own and basically, what I spent time doing is just calling people. So I spent almost every day for like 3 months calling everybody in my contact book just asking for ideas or support, and it sort of landed. I’ve done some contract work in the past. And I was like, Okay, let me continue to do data work.
21 00:26:12.820 ⇒ 00:26:25.869 Uttam: But do it more fractionally and sort of yeah, I I got referred some business from a friend’s friend who had a client that they didn’t want to work with anymore. That they thought were really tough. I was like.
22 00:26:25.970 ⇒ 00:26:44.829 Uttam: let’s see it, and that was my 1st client. They’re still a client of ours. They’re a large pool manufacturer like pool parts manufacturer here in the us and it’s all been mostly word of mouth. And then, more recently, we’ve been doing more active, outbound campaigns. More partnerships and things like that
23 00:26:45.590 ⇒ 00:26:50.429 Leon: Cool, cool. So what does the rest of 2025 look like for you? Is it sort of a
24 00:26:50.570 ⇒ 00:26:55.230 Leon: more more growth, more clients, or sort of maintaining the ones that you already have
25 00:26:56.067 ⇒ 00:27:04.260 Uttam: Yeah, both. We are both expanding our clients as fast as we can. We’re also trying to hire the best, the best, I mean.
26 00:27:04.340 ⇒ 00:27:10.770 Uttam: before it was, it was really I could hire what I could afford to do, and we haven’t raised any money for this business.
27 00:27:10.780 ⇒ 00:27:34.539 Uttam: so it’s been all sort of self funded and self built. So of course, it’s just like as we have money. We spend money. And I, you know we do our best to scrape by month to month, I would say the last 2 months we’ve had really really great growth last month it was our best month, and this month is going to be our best month since last month. So things are growing, you know, roughly, like 1020% per month, which is really, really great.
28 00:27:34.560 ⇒ 00:27:41.999 Uttam: We’re really right. Now, we just we just kind of finished out flushing our core engineering class, like of of analytics, engineers.
29 00:27:42.363 ⇒ 00:27:59.989 Uttam: We’re hiring, maybe one more analyst and then starting to also build out our class of product managers. We have project managers. We have 3 project managers. Now. I think that should last us at least for another few clients. And then we’re trying to build up a really great class of product owners, product owners, meaning
30 00:27:59.990 ⇒ 00:28:12.419 Uttam: people that can sort of be the voice of the client. So typically if we can have this be the client. You know, we have someone from the clients that it comes and represents. This is really helping the project manager sort of build a backlog of work.
31 00:28:12.430 ⇒ 00:28:22.650 Uttam: But ideally, we’re trying to bring on sort of holistic people that either want to be in any of those arenas but also people that want are up to the challenge of working across multiple clients and also
32 00:28:22.740 ⇒ 00:28:24.900 Uttam: working to basically
33 00:28:25.200 ⇒ 00:28:40.940 Uttam: improve the experience for our next clients like the speed and quality of which we deploy. So yeah, that’s sort of like where my head is. I spend a lot of time, you know, recruiting and and working closely and coaching on our team. So that’s really really you know what I love
34 00:28:41.860 ⇒ 00:28:50.250 Leon: Great. Great, yeah, cool. Yeah. So maybe I should tell you a little bit about about myself. So yeah, I obviously know Neil. Quite well. We we grew up together. In a
35 00:28:50.250 ⇒ 00:28:51.129 Uttam: Oh, wow! Okay.
36 00:28:51.720 ⇒ 00:29:06.961 Leon: Yeah, very small area of of Southwest England. We went to went to school together, and and we’re in various bands and all you know. Stuff you get up to when you’re a kid. And yeah. Then, of course, Neil moved across the States. I
37 00:29:07.520 ⇒ 00:29:11.104 Leon: sort of was pursuing a career in in in tech sort of
38 00:29:11.610 ⇒ 00:29:26.590 Leon: analytics, data, science. At the same time Neil was was working as a as a teacher, which you probably know before he moved to the States. And then, yeah, a couple of years in to his time in the States, he he got to know the data culture people.
39 00:29:27.270 ⇒ 00:29:30.799 Leon: And so we got to work a little bit together there.
40 00:29:31.753 ⇒ 00:29:38.869 Leon: And then, yeah, of course, we we sort of. We sort of both moved on from there. And I sort of returned to my main
41 00:29:39.354 ⇒ 00:29:44.750 Leon: kind of contracting gigs. So I’m a i’m a contractor freelancer over here in the Uk. And
42 00:29:44.880 ⇒ 00:29:50.739 Leon: you know, work to for the likes of playstation. Meta
43 00:29:51.319 ⇒ 00:30:01.559 Leon: doing some work with an agency whose main client is Mercedes right now. Just on some pretty pretty basic digital analytics stuff.
44 00:30:02.039 ⇒ 00:30:12.470 Leon: But yeah. So my, my bread and butter is is really you know, analytics and and data science. And I guess you know, more specifically, things like
45 00:30:13.010 ⇒ 00:30:17.909 Leon: predictive modeling. So at playstation, I was sort of building predictive models for their
46 00:30:18.445 ⇒ 00:30:20.074 Leon: to try and sort of
47 00:30:20.950 ⇒ 00:30:24.419 Leon: predict the growth of various cohorts of their subscriber base.
48 00:30:25.397 ⇒ 00:30:32.540 Leon: And yeah, things things of that nature. Obviously, it’s it’s quite a wide remit. But yeah, that’s just a
49 00:30:32.900 ⇒ 00:30:35.409 Leon: a short history of some of the things that I’ve that I’ve done
50 00:30:37.400 ⇒ 00:30:41.600 Uttam: Okay, great. I mean. So what do you like? What’s next for you like, what do you think
51 00:30:42.392 ⇒ 00:30:56.287 Leon: Yeah, I mean. So in in the immediate term I’m taking some time out with my partner, we’re going we’re going traveling for a few months in in Southeast Asia. But yeah, I think you know, this is my sort of
52 00:30:56.800 ⇒ 00:31:05.889 Leon: career, as as it as it were. So yeah, I’m always sort of looking to, you know, build connections and and see what opportunities there may be down the road.
53 00:31:06.435 ⇒ 00:31:09.580 Leon: And I think that’s yeah. That’s probably why Neil introduced us
54 00:31:10.040 ⇒ 00:31:14.039 Uttam: Nice, I mean, for us again, like we’re, I think we’re.
55 00:31:14.160 ⇒ 00:31:22.399 Uttam: We sort of started really hiring like contractors, just like randomly. And now I think we’re much more interested in just building up our
56 00:31:22.470 ⇒ 00:31:49.639 Uttam: like a class of you know, people that want to stay with the company as long as they can. I mean, it’s probably similar model to to data culture. I would say the one sort of advantage that that we have. And I’m really promoting is more like horizontal functions, meaning like we, we meet as an analytics engineering team, we meet as an analyst team, we meet as a Pm team. And I sort of try to build up the team that way. So it’s not just people stuck on client pods
57 00:31:49.640 ⇒ 00:32:14.010 Uttam: which I know in consulting and contracting. You could feel, you know, very isolated that way. I want to build sort of a a really, a team that’s like it has camaraderie, and it’s not. It seems more like an engineering firm than a than a consulting firm, right? And of course, like our stakeholders, maybe our stakeholders may be engineers, but our stakeholders may be customers. But.
58 00:32:14.040 ⇒ 00:32:17.590 Uttam: like again, I want to build that sort of cross
59 00:32:17.680 ⇒ 00:32:30.570 Uttam: product, cross client sort of team. And and really, that’s what we’re looking for. I mean, a lot of the stuff we’re looking for also is people that are open to communicating directly with clients and working working.
60 00:32:31.920 ⇒ 00:32:50.219 Uttam: you know, with with clients to solve problems. A lot of our clients come to us when they either have tried to make investments in this area, or they really have maybe they’re or they have no idea where to start and so it’s up to us to sort of teach them, not only like what the right path is, and then but then the system in implementing and the strategy
61 00:32:50.680 ⇒ 00:33:00.239 Leon: Yeah, yeah, yeah, interesting. Okay? And then, so in terms of your your current employees team members. Are they all based in the in the States right now.
62 00:33:01.094 ⇒ 00:33:29.540 Uttam: It’s sort of a mix we have. We have a couple of folks in La and in New York, and then we have a couple of folks that are in Latin in Europe, and then we have a couple of folks that are in Asia. So it’s kind of just basically wherever I’ve been able to find great people based on our budget, I think we’re now you know, more hiring as as we’re trying to hire more senior folks like the the folks that I look for now are folks that can get me in
63 00:33:29.540 ⇒ 00:33:53.609 Uttam: my business partner out of the day to day client meeting so that we can go focus on building the business up. And I’m recruiting. So a lot of the folks that we’re looking for now are folks that can sort of hold their own? They I would just that I would describe as like high agency folks. You’ve heard that term before that can that can basically just manage their own stuff. You know, there’s a difference from people who just want to wake up and see a task list versus people who
64 00:33:53.710 ⇒ 00:34:06.840 Uttam: build their own task list and execute it right? And so we’re we’re more veering for the right. And I I certainly appreciate the value of those that’s kind of person that I am, and we’re looking for more people that want to take this business on
65 00:34:07.273 ⇒ 00:34:13.029 Uttam: and whatever part of it as their own, you know, and start to steward it forward. So yeah.
66 00:34:13.030 ⇒ 00:34:16.170 Leon: And and how are you currently finding? Sort of, you know.
67 00:34:16.350 ⇒ 00:34:29.060 Leon: you know, managing. If you feel like a a distributed workforce, how is that in in terms of you know sort of time zones, and and how you how you manage the clients and stuff. How how is that working out for you right now.
68 00:34:29.530 ⇒ 00:34:37.680 Uttam: Yeah, I mean, so I, my background is engineering. So I have worked with engineers like all over the world. So I don’t. I don’t actually have
69 00:34:37.870 ⇒ 00:34:45.870 Uttam: as much of a fear over like remote work we do. All of our clients are us based, so there is certainly
70 00:34:46.060 ⇒ 00:35:10.010 Uttam: at least we we require most of our team to be online until around like noon Central Us. Central cause. That’s usually when all of any of our client stand ups or or meetings are and then some people log off towards like the afternoon some people start their day much earlier again, as our planning has gotten better and better. It’s been easier for folks to sort of work on those things, Async.
71 00:35:10.700 ⇒ 00:35:12.299 Uttam: I think, overall
72 00:35:12.490 ⇒ 00:35:38.909 Uttam: it. It’s sort of like, partly an advantage in that. I I feel like I have. I I would do. I still do a lot of development work. So I can find engineers that I know actually know what they’re talking about. And also, the other thing we do is we try to do everything contract to hire. So if you were to join us, I would say, Hey, come on, take a couple of tasks off the team’s plate, and then we can sort of work towards you know, moving full time. And so that’s really like how we’ve
73 00:35:39.604 ⇒ 00:35:42.969 Uttam: we’ve done things and and found success so far
74 00:35:44.030 ⇒ 00:35:50.959 Leon: Okay, great, great. And so what? What kind of stack are you? Are you setting up for the clients when you, when you sort of on on board them.
75 00:35:51.230 ⇒ 00:35:56.870 Leon: Is it like a pretty fairly uniform setup, or is it sort of bespoke based on the client or
76 00:35:56.870 ⇒ 00:36:15.920 Uttam: Yeah, so it’s most of our stuff we do is on Snowflake. So we do a lot of snowflake. We have a couple of clients that are on bigquery it. Sometimes we walk into a situation, sometimes we’re able to dictate the situation. So in the cases that we walk in you know, my job is to sort of give them
77 00:36:16.228 ⇒ 00:36:28.041 Uttam: what we think a best tooling structure is but based on budget. Or you know what’s important. We may not have the ability to affect that but sometimes we do, and then we sort of have a a list of
78 00:36:28.600 ⇒ 00:36:29.980 Uttam: a list of
79 00:36:30.210 ⇒ 00:36:46.910 Uttam: sort of things that like reasons why we would choose a given tool, etc. But a lot of it’s Snowflake, Dbt, and then we we use Github for for just hosting all our code. And then we usually pick a 1 of the, you know, couple of bi tools depending on what the client likes
80 00:36:47.670 ⇒ 00:36:53.034 Leon: Great great. And then so once the client is on is on boarded. Is it a case of sort of
81 00:36:53.580 ⇒ 00:37:07.449 Leon: you know, working with them to extract the value from their data? Or, I mean, do they know what they’re trying to achieve a lot of time? Or or is it sort of you coming up with analyses and and things that they can do to to extract value
82 00:37:08.708 ⇒ 00:37:24.049 Uttam: So it’s both. So we work directly with the Ceos, the Cmos or head of growth to basically set up like a roadmap for analytics. So what are the things they want to measure? And what are the problems they’re trying to solve? So I don’t. I don’t necessarily start from like the dashboard.
83 00:37:24.424 ⇒ 00:37:40.779 Uttam: I’ve just worked on a lot of data teams, and I’m like, it’s not the dashboard that people want. They want like a business decision out of and for us. We solve that through through dashboarding. And so one of the things that I I like to tell our team is
84 00:37:40.980 ⇒ 00:38:02.839 Uttam: our our shovel is data. But we’re trying to solve. We’re trying to make them more money or save them money. And so all of our decisions and all the things we do need to align to one of those 2. And so commonly these are either are like analyses where we’re like digging into a hypothesis, or putting together a dashboard that we review with the team during a business review. Things like that
85 00:38:04.130 ⇒ 00:38:22.689 Leon: Cool, cool, and and so you mentioned that you? It’s quite a varied stable of clients at the moment. I think you said you had a a pool equipment manufacturer and and some others. Are you are you looking to? Sort of target any particular clients or industries, or are you happy to sort of maintain that that sort of broad.
86 00:38:23.730 ⇒ 00:38:26.100 Leon: you know a broad base of clients
87 00:38:26.460 ⇒ 00:38:46.200 Uttam: Yeah, so like, in terms of positioning. So right now, we’re positioned mainly across e-commerce and software. So like software analytics and like e-commerce measurement we within. There’s those are. There are verticals. There’s people who are like in different in different industries. We like to say broadly, E-com, we’ve done some self and health. Ecom and Cpg.
88 00:38:46.200 ⇒ 00:38:56.469 Uttam: we’ve done some stuff in in a couple of other sectors for us. What’s most important is that every additional customer can benefit from us, just having
89 00:38:56.510 ⇒ 00:39:00.010 Uttam: knowledge about that industry.
90 00:39:00.780 ⇒ 00:39:24.489 Uttam: Second piece is, we want to try to take calculated bets on what’s next. So we’ve tried some stuff in in legal going. Okay, where we have a couple of we’ve worked with some legal clients on some data problems. And so yeah, we’re always looking to consider new verticals, new industries and verticals. And for us, it’s just really we want to have a really tight positioning like the market for E-com people. That need data is really large. The market for software companies that need data is really large.
91 00:39:24.570 ⇒ 00:39:36.969 Uttam: But for anything that we do, we want to make sure that there is a lot of opportunity. And there’s opportunity that we can serve right. So that’s the sort of way I mean, our backgrounds are in E-com and sas. So that’s where we’ve landed.
92 00:39:37.377 ⇒ 00:39:42.129 Uttam: But ultimately, I think it’s it’s gonna we’re gonna see this year where we expand to
93 00:39:43.130 ⇒ 00:39:51.480 Leon: Awesome, awesome. Okay? And are you seeing a lot of sort of requests related to AI from from your clients? It sounds like that’s part of your offering now as well
94 00:39:52.170 ⇒ 00:40:18.419 Uttam: Yeah, I mean, so one of the things is, we want to start to move some of our data clients over to also sort of service, some AI work for them. And similarly, we have some of our AI clients that definitely need data help. Or we’re actually already doing data work for them. So I that’s why I sort of went into that side of the business. I mean, initially, I just wanted to automate our own business. So I hired 2 AI engineers and they’re amazing. And they were working purely automating. Brainforge.
95 00:40:18.799 ⇒ 00:40:24.379 Uttam: I think this next phase, we’re basically trying to take a lot of stuff we build internally and basically
96 00:40:24.540 ⇒ 00:40:43.809 Uttam: offer it as a service. But that world, though, is moving so fast, and we don’t have a really, really solid positioning. We do have some client wins that we will begin to use for retargeting and trying to break into some industries. But I that’s where I probably the least confidence about like how that’s gonna shake out overall
97 00:40:45.320 ⇒ 00:40:47.129 Leon: Cool. So, okay, okay.
98 00:40:47.540 ⇒ 00:40:52.200 Leon: that’s very interesting. And so who is it? Just you? That’s that’s the founder. Or do you have a team of founders?
99 00:40:52.475 ⇒ 00:41:21.080 Uttam: Yeah. So it’s so I. So I founded the company. And then most more recently, we I merged the company with a friend who was running a very similar business. We actually were doing a bunch of deals together. And so we decided, Hey, like, it’s best that we we sort of join forces. So his name is Robert. I’ll be happy to to introduce you to him, and he he really runs a lot of our the sales side. Of course both of us do a lot of stuff on sales, but his really directive is on more on sales.
100 00:41:21.140 ⇒ 00:41:25.249 Uttam: Mine is more on, on execution, and like the team
101 00:41:26.310 ⇒ 00:41:27.450 Leon: Cool, cool.
102 00:41:27.810 ⇒ 00:41:36.586 Leon: awesome. Okay? Yeah. I mean it. It sounds really interesting. What what you’re doing. As I say, I’m gonna be taking some some time out for
103 00:41:37.480 ⇒ 00:41:39.613 Leon: Yeah, probably a couple of months, I think.
104 00:41:40.450 ⇒ 00:41:50.490 Leon: but it’d be cool to maybe pick up again. You know a little bit down the line and see where we’re both out, and if there’s any any opportunity to to come on board or work together in some capacity
105 00:41:52.440 ⇒ 00:42:07.129 Uttam: Totally yeah. And and in between now and then, if you have any questions or any thoughts, please let me know again. If you have any time, and you want to connect with anybody on our team from engineering to project management to my business partner, like more than happy to do the connection.
106 00:42:07.460 ⇒ 00:42:08.939 Uttam: You know I feel like
107 00:42:09.170 ⇒ 00:42:17.069 Uttam: as many people as I can have you talk to and get excited about what we do, you know, would love to make the connection. So just please let me know
108 00:42:18.020 ⇒ 00:42:28.489 Leon: Yeah, I appreciate it. Yeah, that that sounds good. Thank you. And yeah, thank you for finding the time to to to connect. Yeah, I know you’re you’re super busy. So yeah, appreciate it.
109 00:42:28.490 ⇒ 00:42:35.669 Uttam: No, I appreciate it. Thank you. Yeah, yeah. I’m glad we get put in touch. And yeah, please keep in touch. Let me know. And what should we plan? What in like? A few months from now.
110 00:42:35.910 ⇒ 00:42:37.958 Leon: Yeah, yeah, yeah, sure, I will.
111 00:42:38.880 ⇒ 00:42:42.124 Leon: yeah, yeah, just thinking, what? What’s the best?
112 00:42:42.960 ⇒ 00:42:43.739 Uttam: I can throw
113 00:42:43.740 ⇒ 00:42:49.969 Uttam: on the calendar, for I just move it a couple of months and maybe I’ll I’ll just send a note here and there, and just say, Hi!
114 00:42:50.130 ⇒ 00:43:03.220 Leon: Yeah, let’s do that. Let’s let’s keep in touch. As I said, I’m not sure entirely how it’s gonna shake out with with my travels. But you know, we’re we’re connected. And we can sort of maintain that and and pick up again. You know, later on.
115 00:43:03.650 ⇒ 00:43:05.050 Uttam: Okay, okay, perfect.
116 00:43:06.090 ⇒ 00:43:06.850 Leon: Cool.
117 00:43:06.850 ⇒ 00:43:07.620 Uttam: Thank you. Leon.
118 00:43:07.620 ⇒ 00:43:11.010 Leon: No. In the meantime, yeah, continued Success, it sounds like you’re doing
119 00:43:11.010 ⇒ 00:43:12.070 Uttam: I appreciate it.
120 00:43:12.070 ⇒ 00:43:12.510 Leon: And
121 00:43:12.950 ⇒ 00:43:41.039 Uttam: I’m very tired. I’m very tired, so I hope I need folks like you to come on, and then, take a little bit of weight off my plate, and I really love working with our team and and coaching. You know we have some junior folks and coaching them up and and sort of working on the machine. Now, more, you know, I’ve seen a lot of data stuff. So that’s what I’m really, really passionate about. And yeah, as much great people as I can get excited. And on board. That’s my job. So I appreciate it
122 00:43:41.340 ⇒ 00:43:44.119 Leon: Cool. Well, yeah, keep going up into the right, as they say.
123 00:43:44.120 ⇒ 00:43:44.440 Uttam: And
124 00:43:44.440 ⇒ 00:43:45.710 Leon: Good we would.
125 00:43:45.710 ⇒ 00:43:47.800 Leon: We’ll we’ll connect again soon, I’m sure.
126 00:43:48.150 ⇒ 00:43:49.441 Uttam: Perfect. Thank you so much.
127 00:43:50.240 ⇒ 00:43:51.430 Leon: Thanks. Sm, take care!
128 00:43:51.560 ⇒ 00:43:53.230 Uttam: Bye, cheers! Bye-bye.