Meeting Title: Meeting with Hannah (Marketing Team) Date: 2025-07-07 Meeting participants: Hannah Wang, Vishnu
WEBVTT
1 00:00:40.190 ⇒ 00:00:41.070 Vishnu: Hello!
2 00:00:43.510 ⇒ 00:00:45.889 Hannah Wang: Hey? How’s it going.
3 00:00:46.790 ⇒ 00:00:48.999 Vishnu: Hey! Hi! Going good! How are you?
4 00:00:49.430 ⇒ 00:00:51.089 Hannah Wang: I’m doing well, thanks.
5 00:00:51.630 ⇒ 00:00:52.270 Vishnu: Yes.
6 00:00:52.924 ⇒ 00:01:04.805 Hannah Wang: I don’t think Abigail is gonna join and then I think Rico is the one who just organized the meeting, so I don’t think he’ll join either.
7 00:01:05.349 ⇒ 00:01:12.620 Hannah Wang: But yeah, I’m not like a hundred percent sure what the agenda of this meeting is. Make it.
8 00:01:12.620 ⇒ 00:01:12.970 Vishnu: Was it.
9 00:01:13.240 ⇒ 00:01:17.511 Hannah Wang: To intro like do an intro
10 00:01:18.020 ⇒ 00:01:18.820 Vishnu: Okay. Okay.
11 00:01:19.220 ⇒ 00:01:22.912 Hannah Wang: Get to know each other. Yeah, I’m not. Maybe I’ll ask Rico.
12 00:01:23.620 ⇒ 00:01:31.560 Hannah Wang: what like? Cause? He asked. If basically he can schedule a meeting with me guys. The interns
13 00:01:32.137 ⇒ 00:01:41.119 Hannah Wang: so I’m not entirely sure what the agenda of our weekly meetings will be. Cause I do believe it’s weekly
14 00:01:43.800 ⇒ 00:01:47.179 Hannah Wang: Yeah, I don’t know. Maybe we can. Just
15 00:01:48.137 ⇒ 00:01:55.890 Hannah Wang: you can just talk about, I guess what you’re going to start to work on at Brainforge. I know you’re like a
16 00:01:57.680 ⇒ 00:01:58.780 Vishnu: And intern.
17 00:01:58.780 ⇒ 00:02:05.210 Hannah Wang: Yeah, more. Or it’s like a data and analytics. I forgot your actual title. What it was on paper.
18 00:02:06.290 ⇒ 00:02:09.899 Vishnu: Yes, it’s a an data analytics, data, engineering, intern.
19 00:02:10.060 ⇒ 00:02:11.150 Hannah Wang: Okay. Cool.
20 00:02:11.496 ⇒ 00:02:22.240 Vishnu: Yeah. So I I’ll just talk to you about myself. So like, like you already know, my name is Vishnu, and I just graduated from college a month ago.
21 00:02:22.570 ⇒ 00:02:26.770 Vishnu: a month and a half ago. With a Master’s degree in data, science.
22 00:02:26.770 ⇒ 00:02:27.170 Hannah Wang: Hmm.
23 00:02:27.170 ⇒ 00:02:27.829 Vishnu: And
24 00:02:29.540 ⇒ 00:02:39.284 Vishnu: yeah, before this, I had a bachelor’s in mechanical engineering. And the reason I’ve pivoted and like, got into computer science data. Science is because I thought,
25 00:02:39.790 ⇒ 00:02:47.406 Vishnu: having a core engineering degree is good. But then, I thought, I need to leverage the
26 00:02:48.130 ⇒ 00:02:54.026 Vishnu: you know the I need to leverage computers to make I felt
27 00:02:54.650 ⇒ 00:02:57.231 Vishnu: contributions in my domain as in like
28 00:02:58.122 ⇒ 00:03:03.600 Vishnu: what I’m trying to say is like normally mechanical engineers don’t know much about programming and.
29 00:03:03.600 ⇒ 00:03:04.080 Hannah Wang: Great.
30 00:03:04.080 ⇒ 00:03:16.719 Vishnu: People who program don’t have the domain expertise of mechanical engineering. So I was like, Hey, can I? Be someone who like stitches both these domains together. That was what prompted me to like get a master’s degree in data science.
31 00:03:17.170 ⇒ 00:03:25.229 Vishnu: But then, yeah, that’s my long term goal to like make a meaningful contribution to along the
32 00:03:25.770 ⇒ 00:03:29.373 Vishnu: oh, you know, along domains which
33 00:03:30.090 ⇒ 00:03:36.304 Vishnu: might require both my skills. But for now I’m trying to like, get a real world experience like
34 00:03:36.790 ⇒ 00:03:42.249 Vishnu: work at a company work at a startup and try to see how a corporate setting in the us works.
35 00:03:43.180 ⇒ 00:03:49.187 Vishnu: So yeah, that’s when I came about, came across brainford and like,
36 00:03:49.710 ⇒ 00:03:58.710 Vishnu: Pius told me, like, bias was my point of contact and he he told me some there. There was some interesting AI projects that Brain Forge was working on.
37 00:03:58.980 ⇒ 00:04:01.677 Vishnu: And so I said,
38 00:04:03.353 ⇒ 00:04:14.260 Vishnu: Yeah, this sounded interesting, and once I spoke with them the energy was really high like, and I thought, I I can make meaningful contribution here at Brainforge.
39 00:04:14.380 ⇒ 00:04:16.240 Vishnu: So oh.
40 00:04:16.240 ⇒ 00:04:16.654 Hannah Wang: So.
41 00:04:17.070 ⇒ 00:04:19.420 Vishnu: Yeah, that’s how I joined. Bring it forward and.
42 00:04:21.070 ⇒ 00:04:22.739 Hannah Wang: Yeah. How do you know? Pious.
43 00:04:24.673 ⇒ 00:04:26.590 Vishnu: He’s just a family friend of mine.
44 00:04:26.590 ⇒ 00:04:31.350 Hannah Wang: Oh, cool, awesome. Yeah, I know he lives
45 00:04:31.610 ⇒ 00:04:38.530 Hannah Wang: in I’m I’m in la so I I believe he still lives in downtown. La, so
46 00:04:38.630 ⇒ 00:04:45.935 Hannah Wang: I met him in person, like back in April. He’s a cool guy. Yeah, he’s he’s really fun.
47 00:04:46.320 ⇒ 00:04:46.740 Vishnu: Yeah.
48 00:04:47.370 ⇒ 00:04:55.250 Hannah Wang: Yeah, cool. Yeah, I I mean, I guess I could give a spiel to. I,
49 00:04:55.730 ⇒ 00:05:00.950 Hannah Wang: well, my background is actually in linguistics and computer science. So
50 00:05:01.240 ⇒ 00:05:19.194 Hannah Wang: that’s my undergrad degree, actually. And I started working at a big tech company. Right after I graduated as a software engineer. But I actually didn’t enjoy it a lot. And I think,
51 00:05:21.170 ⇒ 00:05:49.239 Hannah Wang: yeah, I I don’t think I was naturally the best at it. I feel like low level stuff, or I guess more like entry level stuff was okay. Just because the scope is known and there’s no ambiguity, and it’s less abstract. But I’m sure you know, like as you go higher up in a company you’re expected to be able to handle more ambiguity and just like build infrastructure and all that stuff. And I
52 00:05:49.930 ⇒ 00:06:08.449 Hannah Wang: I just felt like my brain didn’t really comprehend it, or I guess I wasn’t good at it. And I think in undergrad the education that I got, I mean, I don’t think any education kind of really prepares you for the real world like corporate world. And what?
53 00:06:08.450 ⇒ 00:06:09.130 Hannah Wang: Growing? Yes.
54 00:06:09.130 ⇒ 00:06:18.640 Hannah Wang: like in the corporate setting, I’m sure even now it’s changing a lot with AI, and like vibe coding and stuff like that. But that was back in 20
55 00:06:19.580 ⇒ 00:06:26.315 Hannah Wang: 20 is when I graduated. So I worked at that company. I worked at Amazon for 2 years.
56 00:06:26.690 ⇒ 00:06:27.100 Vishnu: Okay.
57 00:06:27.100 ⇒ 00:06:39.780 Hannah Wang: And yeah, it. It wasn’t the best experience for me. So I actually quit and decided to do a boot camp in ux design. I’m not sure if you heard of it, but.
58 00:06:40.160 ⇒ 00:06:40.600 Vishnu: Yes.
59 00:06:40.600 ⇒ 00:06:56.530 Hannah Wang: Yeah. Ux design. I just, I kind of wondered what a career is kind of adjacent to software engineering and within tech and would be feasible for me to transition into without having to get another degree, basically or go back to school.
60 00:06:56.810 ⇒ 00:06:57.200 Vishnu: Is it.
61 00:06:57.200 ⇒ 00:07:00.277 Hannah Wang: So I did a boot camp for that. And
62 00:07:01.100 ⇒ 00:07:07.530 Hannah Wang: yeah, I finished that boot camp top of 2024.
63 00:07:09.330 ⇒ 00:07:19.069 Hannah Wang: yeah. But so all of 2024. Actually, I was looking for a job. I think the market is kind of difficult, or it was difficult back then I think it’s.
64 00:07:19.420 ⇒ 00:07:28.840 Hannah Wang: Difficult now, too, with all the layoffs and stuff. But I actually came on to Brainforge because I I know Robert.
65 00:07:29.250 ⇒ 00:07:29.640 Vishnu: Okay.
66 00:07:29.640 ⇒ 00:07:43.726 Hannah Wang: The coutam’s business partner and I started working here. I guess, as another one of the designers on the team, and other designer.
67 00:07:44.730 ⇒ 00:07:48.620 Hannah Wang: and yeah, I I guess when I came on.
68 00:07:49.920 ⇒ 00:08:08.857 Hannah Wang: yeah, I guess all to say, I think my like role in this organization is kind of changing and shifting. So I’m trying to stretch into more like being in charge of like partnerships with other vendors and agencies and companies and handling like marketing and
69 00:08:09.780 ⇒ 00:08:10.400 Hannah Wang: be working.
70 00:08:10.400 ⇒ 00:08:10.770 Vishnu: Okay.
71 00:08:10.770 ⇒ 00:08:12.097 Hannah Wang: Mostly with sales.
72 00:08:12.540 ⇒ 00:08:13.540 Vishnu: So.
73 00:08:13.540 ⇒ 00:08:24.613 Hannah Wang: Yeah, I wouldn’t. Really. I feel like my role is also kind of changing here as well. I I wanted to be a ux designer. But I don’t think I’m doing that right now. So
74 00:08:25.300 ⇒ 00:08:42.429 Hannah Wang: yeah. So I guess that’s why the meeting is called marketing team meeting with Hannah marketing team. Cause I, in a sense, maybe I’m in charge of the marketing team in terms of just making sure. Yeah, we have, like all our assets and just content
75 00:08:42.929 ⇒ 00:08:51.299 Hannah Wang: and linkedin posts and all the stuff that we’re trying to do to market ourselves, and that ties closely with like partners like our
76 00:08:51.440 ⇒ 00:09:02.110 Hannah Wang: our relationship with partners and all that stuff. So that’s kind of what I’m doing here. But yeah, I.
77 00:09:02.110 ⇒ 00:09:02.860 Vishnu: 2 questions.
78 00:09:02.860 ⇒ 00:09:03.519 Hannah Wang: Yeah, go for it.
79 00:09:03.520 ⇒ 00:09:04.025 Vishnu: So
80 00:09:04.720 ⇒ 00:09:25.910 Vishnu: like you said you did a uix boot camp. And you try to like break into the domain without actually going back to college. So now with AI how do you think it’s affecting like the Uix domain like, do you think a lot more people are gonna get laid off, or it’s actually making people productive. And the jobs are there.
81 00:09:26.270 ⇒ 00:09:30.770 Vishnu: I’m asking you this because my younger sister is like trying to break into this domain. She just.
82 00:09:30.770 ⇒ 00:09:33.986 Hannah Wang: Start her bachelor’s in this like
83 00:09:34.870 ⇒ 00:09:36.060 Vishnu: Design.
84 00:09:36.060 ⇒ 00:09:36.420 Hannah Wang: I see.
85 00:09:36.420 ⇒ 00:09:39.470 Vishnu: So I’m just curious to know, like from your experience.
86 00:09:39.470 ⇒ 00:09:42.539 Hannah Wang: Yeah, yeah. I mean my boot camp, like
87 00:09:42.770 ⇒ 00:09:58.050 Hannah Wang: there was no talk of AI with when I was doing the boot camp because I was doing the boot camp in 2023. So I feel like around that time. AI wasn’t. It? Was there, but not not a lot of people have like adopted it now. So in my boot.
88 00:09:58.050 ⇒ 00:09:58.590 Vishnu: Okay.
89 00:09:58.590 ⇒ 00:10:03.560 Hannah Wang: Not a lot of people have adopted it back in 2023. I feel like it wasn’t as important
90 00:10:03.790 ⇒ 00:10:14.049 Hannah Wang: back then. By now everyone wants you to be able to use AI and like use it as a tool and stuff. So I think it’s similar to.
91 00:10:14.770 ⇒ 00:10:20.919 Hannah Wang: I guess, like an engineering or a dev job where? Yeah, you might get
92 00:10:21.050 ⇒ 00:10:48.039 Hannah Wang: like, I know, people think that you’ll get laid off because AI is going to take over your job. But I still think AI is not like perfect. So I think, for design, too, like you can just use AI as a tool to help you get more of, like the lower fidelity designs and mid fidelity designs done. And then you, as the person you’re going to be the one to flesh it out and make it perfect, because I think AI still not like
93 00:10:48.430 ⇒ 00:10:49.730 Hannah Wang: perfect at it.
94 00:10:49.730 ⇒ 00:10:50.330 Vishnu: Exactly.
95 00:10:50.330 ⇒ 00:11:00.110 Hannah Wang: Not as good as a human, I’m sure, with coding, too. It’s not perfect, and you have to like proofread it and Spot check it. So I don’t think it’ll replace
96 00:11:00.560 ⇒ 00:11:04.940 Hannah Wang: humans. I don’t think AI will replace humans
97 00:11:05.150 ⇒ 00:11:23.500 Hannah Wang: in a while, if anything like we we humans are humans. For a reason we have, like all this cognitive ability and stuff that AI doesn’t have yet. So I think it’ll be okay. I think, maybe yeah, you just need to be able to use AI as a tool. So I know, there’s like.
98 00:11:23.790 ⇒ 00:11:41.620 Hannah Wang: I believe there’s some like platforms and softwares where. Yeah, it’ll like help. You basically do like generate a wireframe or design really quickly. And I feel like using those types of like tools would be helpful if you look at like job descriptions for
99 00:11:41.930 ⇒ 00:11:44.450 Hannah Wang: product or ux designers. You.
100 00:11:44.450 ⇒ 00:11:44.940 Vishnu: Bye, Yuan.
101 00:11:44.940 ⇒ 00:11:58.110 Hannah Wang: Designers like you. I think you’ll see like bullet points, for like, oh, able to use like AI tools, and then they’ll give you like an example like Oh, I’m forgetting the names of the tools off the top of my head. But.
102 00:11:58.110 ⇒ 00:11:58.490 Vishnu: Okay.
103 00:11:58.807 ⇒ 00:12:09.292 Hannah Wang: Yeah, I mean, after she finishes school, like maybe she can, or even now she can look at some job descriptions. And just look at what people are looking for in the industry.
104 00:12:09.610 ⇒ 00:12:10.280 Vishnu: Okay.
105 00:12:10.660 ⇒ 00:12:16.669 Hannah Wang: Yeah, I it’s I look at job listings here and there, too. Just because.
106 00:12:17.040 ⇒ 00:12:37.530 Hannah Wang: yeah, I wanted to do ux design. So I’m thinking, oh, should I like find another role that will that is ux design? So I that’s the only way I know. Really like all the AI tools out there. But I think within my current role, like as a designer, I don’t
107 00:12:38.130 ⇒ 00:12:48.418 Hannah Wang: really use AI a ton just because our designs are not that sophisticated. It’s just like a lot of one pagers and like sales decks.
108 00:12:48.830 ⇒ 00:12:52.880 Hannah Wang: okay, okay, website, stuff. But yeah, absolutely.
109 00:12:52.880 ⇒ 00:12:53.820 Vishnu: That makes sense. Yeah.
110 00:12:53.820 ⇒ 00:12:55.780 Hannah Wang: First, st question, yeah.
111 00:12:55.780 ⇒ 00:12:56.879 Vishnu: Yes, yeah.
112 00:12:57.423 ⇒ 00:12:59.140 Vishnu: I have one more question.
113 00:12:59.140 ⇒ 00:12:59.510 Hannah Wang: Yeah.
114 00:12:59.540 ⇒ 00:13:08.359 Vishnu: This is regarding like Brainforge. So as a as a marketing head of Brainforge like what direction is
115 00:13:08.510 ⇒ 00:13:15.592 Vishnu: the marketing team looking towards like, what is our core product that we are marketing and like, what is a
116 00:13:16.300 ⇒ 00:13:17.280 Vishnu: of
117 00:13:17.590 ⇒ 00:13:29.420 Vishnu: like target? Our target audience, like, I’m asking this, because yes, I am a little bit more interested in marketing. In fact, that’s what I started my career with.
118 00:13:29.670 ⇒ 00:13:30.220 Hannah Wang: Okay.
119 00:13:30.481 ⇒ 00:13:35.710 Vishnu: Like, yeah, I I started as like a analyst where I used to help the marketing team in my 1st
120 00:13:36.550 ⇒ 00:13:40.277 Vishnu: internship. Yeah. So I’m just interested to know, like
121 00:13:40.980 ⇒ 00:13:45.710 Vishnu: which direction is Brainforge going with like marketing? What are we marketing?
122 00:13:46.030 ⇒ 00:13:49.479 Vishnu: And again, like, what is our strategy? So.
123 00:13:50.110 ⇒ 00:14:07.300 Hannah Wang: Yeah, I mean, I have no like marketing experience whatsoever. So if any of the stuff I’m saying doesn’t make sense feel like feel free to ask me like, follow up questions. But I think we’re currently like, in the midst of kind of rebranding our
124 00:14:07.770 ⇒ 00:14:27.469 Hannah Wang: yeah, branding like, refining it and making sure that our language is clear and changing copy throughout all our websites. So that’s kind of what we’re working on right now. And I think for the business like I think, Utam and Robert, they see that the most like, I guess.
125 00:14:27.680 ⇒ 00:14:43.910 Hannah Wang: like the best way to get clients and leads is through like word of mouth and just partnering with other companies who can, I guess, essentially point us to certain leads, or we can work together with them to like
126 00:14:44.220 ⇒ 00:14:53.179 Hannah Wang: share leads and stuff. This is, I’m I’m still like getting familiar with everything. But that’s why I think we’re like focusing a lot on
127 00:14:53.760 ⇒ 00:15:01.030 Hannah Wang: partnerships with other vendors and agencies, and I don’t know if you like, know
128 00:15:01.110 ⇒ 00:15:18.390 Hannah Wang: what partnerships do. Essentially but it’s basically you like form an agreement with another company or vendor, and that within that agreement, you say, like, Oh, we’ll work together. And we’ll promote each other’s like tool or services.
129 00:15:18.390 ⇒ 00:15:33.160 Hannah Wang: and we’ll like share leads with one another, and those leads will eventually translate hopefully to clients that work with Brainforge. So obviously, we’re like a product company. We’re like a services company. So it’s hard to market.
130 00:15:33.270 ⇒ 00:15:46.210 Hannah Wang: We’re not marketing a product or anything. We’re marketing our services and how we can help companies just become more savvy with their data. And AI, basically.
131 00:15:46.570 ⇒ 00:15:51.923 Hannah Wang: So yeah, we’re like focusing a lot on partnering with other companies.
132 00:15:52.700 ⇒ 00:16:00.039 Hannah Wang: and then another vein of that is like on Linkedin. We’re trying to post a lot more, because I think that’s the platform
133 00:16:00.480 ⇒ 00:16:24.960 Hannah Wang: that we can best leverage we thought about like Instagram and Tiktok and all those other social media platforms. But I think because Utam and Robert already have, like a decent following on Linkedin, I think, yeah, we’re trying to like, push out a ton of content and stuff like that. But even that we’re trying to like, refine and be more strategic about it. And
134 00:16:26.580 ⇒ 00:16:54.839 Hannah Wang: yeah, it’s it’s a growing like process. I think we’re still learning like what works and what doesn’t. But that’s those are 2 of the like. I guess channels and avenues that we’re using for marketing like we don’t have ads. We don’t use paid ads or anything like that. So a lot of it is just word of mouth, and the 2 channels of word of mouth is just social media, which is Linkedin and also partnerships. And then, I guess, kind of a 3rd avenue is
135 00:16:54.880 ⇒ 00:17:23.039 Hannah Wang: promotions, and what we mean by promotions is like attending events or conferences where we can network with other people, and hopefully, those people will become leads, and those leads become clients, or we like speak at events, or we like host, an event or co-host with another company. Just so that, yeah, we can like establish ourselves as
136 00:17:23.099 ⇒ 00:17:27.099 Hannah Wang: like a guide in the data consultancy world.
137 00:17:27.495 ⇒ 00:17:32.229 Hannah Wang: So those are kind of the strategies. I think that we’re currently trying to utilize.
138 00:17:33.640 ⇒ 00:17:34.749 Hannah Wang: Yeah, just like.
139 00:17:34.930 ⇒ 00:17:35.920 Vishnu: Okay. Okay.
140 00:17:35.920 ⇒ 00:17:39.277 Hannah Wang: Yeah. Sorry if that was a lot of information.
141 00:17:39.870 ⇒ 00:17:42.124 Vishnu: No, that that made sense. Yeah.
142 00:17:42.840 ⇒ 00:17:46.470 Hannah Wang: Yeah, do you like, have any, I guess, like
143 00:17:47.360 ⇒ 00:17:57.090 Hannah Wang: insights, or like, I guess when you worked with that were when you were an analyst for the marketing team at your previous position. Like
144 00:17:57.660 ⇒ 00:18:00.620 Hannah Wang: what I guess, did they? I mean.
145 00:18:01.070 ⇒ 00:18:07.069 Hannah Wang: I’m sure that company is not. I don’t know if it’s the same as our agency. But
146 00:18:07.270 ⇒ 00:18:08.020 Hannah Wang: yeah, I guess like.
147 00:18:08.020 ⇒ 00:18:08.700 Vishnu: Yeah, so.
148 00:18:08.700 ⇒ 00:18:09.330 Hannah Wang: There, so.
149 00:18:09.611 ⇒ 00:18:19.450 Vishnu: That company was it was a Yc. Backed startup, and again it was what they used to do is like sell boot camps. It was like a data science machine learning boot camp.
150 00:18:19.630 ⇒ 00:18:27.049 Vishnu: And yeah, as of now, I think the company is not functioning. From what I know.
151 00:18:27.050 ⇒ 00:18:27.830 Hannah Wang: Okay.
152 00:18:28.120 ⇒ 00:18:33.529 Vishnu: Yes, but then we did again. We used to post a lot on
153 00:18:34.025 ⇒ 00:18:45.409 Vishnu: we used to post a lot on Linkedin Twitter and I think the moment we started posting on Linkedin and Twitter like us, the sales started going through the roof.
154 00:18:45.540 ⇒ 00:18:46.010 Hannah Wang: Like.
155 00:18:46.010 ⇒ 00:18:51.156 Vishnu: I I remember we had like this Linkedin campaign that we were running, and
156 00:18:52.720 ⇒ 00:19:01.970 Vishnu: the sales became we didn’t anticipate those many sales. So we got close to like 2,000 customers in in a in a short
157 00:19:02.240 ⇒ 00:19:10.639 Vishnu: span in in like a week week and a half, and then we had to like put a pause because we could not on board. So the whole
158 00:19:11.730 ⇒ 00:19:15.712 Vishnu: no, you you know the whole marketing
159 00:19:16.600 ⇒ 00:19:30.760 Vishnu: This thing was that we’re gonna be personalized, focused on few batches of students. So each boot camp batch had only they were supposed to onboard only like close to 100 and 150.
160 00:19:31.180 ⇒ 00:19:33.719 Vishnu: And all of a sudden there was this influx of
161 00:19:34.237 ⇒ 00:19:40.842 Vishnu: a lot of attention lot of people trying to pay for the boot camp. So yes, I think
162 00:19:41.730 ⇒ 00:19:45.168 Vishnu: for Linkedin, the strategy we were using is like,
163 00:19:45.870 ⇒ 00:19:46.730 Vishnu: Oh.
164 00:19:47.690 ⇒ 00:19:55.129 Vishnu: we did notice that a lot of people on Linkedin or Instagram would, you know, engage with infographics.
165 00:19:55.130 ⇒ 00:19:55.910 Hannah Wang: Yes.
166 00:19:55.910 ⇒ 00:20:14.584 Vishnu: Engage with articles on medium. So we would do a mix of both those. So yeah, I I used to help them make some infographics that we had another intern who used to help with the infographics medium articles, and it was a mix of both those. And I think
167 00:20:15.533 ⇒ 00:20:23.519 Vishnu: when the when this whole thing happened like there was literally one viral post on Linkedin that got us those sales like.
168 00:20:23.520 ⇒ 00:20:24.420 Hannah Wang: Oh!
169 00:20:24.420 ⇒ 00:20:31.939 Vishnu: And it was just one infographic. There was a lot of like comments, and people were like like, yes, so I think
170 00:20:32.857 ⇒ 00:20:38.902 Vishnu: that worked for Jovian. So this company was called Jovian. It was called Jovian AI. And
171 00:20:39.750 ⇒ 00:20:46.229 Vishnu: I I’m I’m not sure like if, like Brainforge AI is definitely not in the same domain. Right?
172 00:20:46.230 ⇒ 00:20:47.123 Vishnu: Yeah. Yeah.
173 00:20:47.750 ⇒ 00:21:02.929 Vishnu: So I guess we’ll have to like, look at our competitors. Do like a comparative study. See? Who are the best performing, and try to replicate their methods. Try and come up with our own methods and see what sticks.
174 00:21:03.460 ⇒ 00:21:04.370 Hannah Wang: Yeah.
175 00:21:04.530 ⇒ 00:21:16.994 Hannah Wang: I I do know posts with like images, and or like carousels, or like infographics like you said that those do well as opposed to just like text.
176 00:21:18.690 ⇒ 00:21:19.090 Hannah Wang: get
177 00:21:19.090 ⇒ 00:21:32.479 Hannah Wang: that? You utilize medium blog posts. So did you like link to the blog post? You’re like, Oh, we like we have this new blog post like, check it out. Is that kind of what you did on Linkedin.
178 00:21:33.309 ⇒ 00:21:36.160 Vishnu: So on, Linkedin, we would like give a gist of the
179 00:21:36.570 ⇒ 00:21:54.709 Vishnu: blog, or we would like try to like make it click, baity click baitty, in the sense not actual clickbait stuff. But then we would give a a brief intro to the blog, and we’d be like, Hey, this is what if you wanna this is what we discussed in this blog. You want to learn more check it out.
180 00:21:54.710 ⇒ 00:22:07.130 Hannah Wang: I see. Yeah, we did try doing that because we do have blog posts on our website. So I think earlier in the year. We did try to do essentially what you said, where we gave like a short
181 00:22:07.853 ⇒ 00:22:24.189 Hannah Wang: sneak peek, I guess, of the blog post. And then, oh, if you’re interested in learning more, do like a basically a call to action to go to our website. But I don’t know if that did super well, I think that’s why we transitioned into more
182 00:22:24.920 ⇒ 00:22:33.849 Hannah Wang: like thought leadership type of posts or reflection posts from Utam and Robert’s personal Linkedin.
183 00:22:33.850 ⇒ 00:22:34.290 Vishnu: Okay.
184 00:22:34.290 ⇒ 00:22:49.930 Hannah Wang: The blog posts. We were posting those Linkedin posts on the Brain Forge Company, Linkedin, and I don’t think that Linkedin account only has around 500 600 followers as opposed to like the thousands that Utam and Robert have.
185 00:22:50.460 ⇒ 00:22:55.429 Hannah Wang: So I think that’s why we transitioned to that. But okay, yeah, that’s that’s good.
186 00:22:55.430 ⇒ 00:23:04.010 Vishnu: Yes, I I think, yeah, that makes sense also, because like, with respect to Jovian, it was like A B to C kind of product
187 00:23:04.920 ⇒ 00:23:14.690 Vishnu: you were. You were targeting customers, and like, yes, customers would come on Linkedin. But here, with Brainforge, I’m assuming that we’re supposed to target businesses right?
188 00:23:14.690 ⇒ 00:23:17.920 Hannah Wang: Yeah, b, 2, b, basically, yeah.
189 00:23:19.360 ⇒ 00:23:26.949 Vishnu: Okay, yeah. So yes. Yeah. Then, I, I feel like, yeah, autumn. And Robert posting is better off.
190 00:23:27.990 ⇒ 00:23:38.428 Hannah Wang: Yeah, because those posts, I think, go to like CC suite level like peep individuals within the businesses that we wanna help work with. So
191 00:23:39.730 ⇒ 00:23:43.989 Hannah Wang: yeah, okay, that that’s helpful to know that you kind of.
192 00:23:43.990 ⇒ 00:23:44.390 Vishnu: Yes.
193 00:23:44.390 ⇒ 00:23:51.520 Hannah Wang: Interest in that. I think we’re still trying to figure out our strategy. I feel like within marketing or any of those things like the strategy
194 00:23:52.030 ⇒ 00:23:55.860 Hannah Wang: changes, and you just have to experiment a lot. So.
195 00:23:56.350 ⇒ 00:23:56.860 Vishnu: Yes. Yeah.
196 00:23:56.860 ⇒ 00:23:59.748 Hannah Wang: I think we’re just constantly evolving
197 00:24:00.230 ⇒ 00:24:24.289 Vishnu: Okay, yeah, for so for now like, I’m helping a vaish with the Etl pipelines. At least, that’s what he’s put out the task for me on linear but then, yes, if at all, you need any help with like writing stuff. Do let me know like, because so I’m kind of passionate about marketing. So.
198 00:24:24.290 ⇒ 00:24:26.270 Hannah Wang: Okay, if you need any help, you can hit me.
199 00:24:27.030 ⇒ 00:24:32.729 Hannah Wang: Okay, yeah. Maybe in like another weekly sync or something that we have on Thursdays I got I can.
200 00:24:32.730 ⇒ 00:24:33.060 Vishnu: Maybe.
201 00:24:33.770 ⇒ 00:24:36.679 Hannah Wang: Yeah, show you more like what we do, and maybe
202 00:24:37.148 ⇒ 00:24:49.329 Hannah Wang: loop you in with like cause. I think we’re trying to start some go to market sales campaigns, too. So yeah, I think that’s I’m like freshly being looped into that. I guess.
203 00:24:49.652 ⇒ 00:25:17.729 Hannah Wang: We do. We have a content person. His name is Ryan, so he does like all the content. For like even on Utam’s, like Linkedin, Linkedin posts, like some of that, is like ghost written by, I guess, essentially Ryan. And then for the sales go to market initiative. We have Mustafa. He’s 1 of the folks on the AI team. So he’s gonna help with like automating stuff through like hey reach. And all these other tools that I’m still getting familiar with.
204 00:25:17.730 ⇒ 00:25:23.290 Hannah Wang: And then on my side like I would help with like the designs, and just.
205 00:25:23.980 ⇒ 00:25:24.869 Vishnu: You got it. Okay.
206 00:25:24.870 ⇒ 00:25:41.869 Hannah Wang: So. So yeah, maybe I’ll loop you into that once, that initiative kind of starts and maybe I can send you like a notion, Doc, that Utam wrote about running that campaign or those campaigns. But yeah, okay, cool, awesome that you’re interested in this.
207 00:25:42.510 ⇒ 00:25:52.005 Hannah Wang: yeah, it’s it’s cool seeing people within people not working within their direct like vertical, and just like stretching horizontally.
208 00:25:52.630 ⇒ 00:25:56.612 Hannah Wang: It’s like cool that you have that desire.
209 00:25:57.590 ⇒ 00:25:58.050 Vishnu: Yeah.
210 00:25:58.050 ⇒ 00:26:02.659 Hannah Wang: Awesome, awesome. Vishnu! It was. Yeah. It was nice talking to you.
211 00:26:02.660 ⇒ 00:26:03.709 Vishnu: Yeah. Same. Here.
212 00:26:03.990 ⇒ 00:26:09.209 Hannah Wang: Yeah, if you have any other questions, feel free to just DM me on slack, and we can talk there.
213 00:26:09.210 ⇒ 00:26:11.939 Vishnu: Okay, yes, alright. You have a good one.
214 00:26:11.940 ⇒ 00:26:13.150 Hannah Wang: You, too. Bye-bye.
215 00:26:13.440 ⇒ 00:26:14.140 Vishnu: Bye.