Meeting Title: Brainforge Case Studies Review and Planning Date: 2025-11-05 Meeting participants: Robert Tseng, Hannah Wang, Rico Rejoso
WEBVTT
1 00:00:04.890 ⇒ 00:00:07.870 Robert Tseng: Do not bear me on your thumb.
2 00:00:25.490 ⇒ 00:00:28.750 Robert Tseng: Performing.
3 00:00:29.490 ⇒ 00:00:32.689 Robert Tseng: I’m too hard of feeling.
4 00:00:43.640 ⇒ 00:00:44.580 Hannah Wang: Aye.
5 00:00:52.310 ⇒ 00:00:53.590 Hannah Wang: Hello.
6 00:00:54.150 ⇒ 00:00:55.090 Robert Tseng: Oh, hello.
7 00:00:57.250 ⇒ 00:01:00.450 Hannah Wang: Hold on.
8 00:01:05.160 ⇒ 00:01:05.679 Robert Tseng: Yes, thank you.
9 00:01:05.680 ⇒ 00:01:07.549 Hannah Wang: Can I bring Rachel? Okay.
10 00:01:08.350 ⇒ 00:01:10.300 Robert Tseng: Am I gonna bring Rachel?
11 00:01:10.300 ⇒ 00:01:12.050 Hannah Wang: No, I thought you were looking at her.
12 00:01:12.450 ⇒ 00:01:16.139 Robert Tseng: Oh, well, no, no, she’s, she’s dealing with…
13 00:01:16.700 ⇒ 00:01:19.749 Robert Tseng: Customer service and being frustrated by it.
14 00:01:20.890 ⇒ 00:01:23.159 Hannah Wang: Oh, for… for her dad?
15 00:01:23.520 ⇒ 00:01:24.150 Robert Tseng: Yeah.
16 00:01:24.460 ⇒ 00:01:24.860 Hannah Wang: Oh.
17 00:01:24.860 ⇒ 00:01:26.089 Robert Tseng: Well, how do you know that?
18 00:01:26.990 ⇒ 00:01:29.790 Hannah Wang: I text her. Huh.
19 00:01:30.340 ⇒ 00:01:37.880 Hannah Wang: Well, she sent me the video of, like, him trying to do the notary stuff, and, like, he just kept bringing up the dictionary on her laptop.
20 00:01:38.420 ⇒ 00:01:40.950 Robert Tseng: Oh my goodness, that was so bad.
21 00:01:42.630 ⇒ 00:01:46.120 Robert Tseng: He literally failed 4 times. It took, like, 2 hours.
22 00:01:46.690 ⇒ 00:01:49.019 Hannah Wang: That’s rough.
23 00:01:49.140 ⇒ 00:01:50.450 Robert Tseng: Well… Okay.
24 00:01:50.450 ⇒ 00:01:55.969 Hannah Wang: I didn’t get great sleep, so I’m gonna video off. You can video off, too.
25 00:01:55.970 ⇒ 00:01:56.710 Robert Tseng: Oh, okay.
26 00:01:56.890 ⇒ 00:01:57.810 Robert Tseng: Alright.
27 00:01:57.810 ⇒ 00:02:01.040 Hannah Wang: Let’s see… yeah, I can eat in peace.
28 00:02:01.300 ⇒ 00:02:09.199 Hannah Wang: Okay, so I wanted to talk about the case studies first. Let me share my screen.
29 00:02:10.880 ⇒ 00:02:28.579 Hannah Wang: So, I’m not sure if you know this in Notion, but we… this was, like, before we had the platform, and I feel like Uten, and maybe you were kind of dumping in case studies that we wanted to create here, so some of them are super old.
30 00:02:28.710 ⇒ 00:02:44.050 Hannah Wang: And I don’t know if, like, we need them anymore. I also have to update this document, and that’s why Rico’s here, because I don’t know why, it’s, like, taking me… I don’t know, it’s not hard, it’s just I… I don’t know why, I don’t want to do it, but…
31 00:02:44.280 ⇒ 00:02:50.750 Hannah Wang: Anyway, I… I guess I just wanted to know, like, if all of these are… still…
32 00:02:51.130 ⇒ 00:03:00.320 Hannah Wang: necessary, and I think Utam did go and, like, prioritize them, but I feel like your priorities and his priorities are a bit different, so…
33 00:03:01.570 ⇒ 00:03:04.329 Hannah Wang: I just wanted to know…
34 00:03:05.110 ⇒ 00:03:06.379 Robert Tseng: I guess, like.
35 00:03:06.900 ⇒ 00:03:16.679 Hannah Wang: yeah, any of these still necessary, and if not, like, I just want to close them and bring in the more, like, relevant ones, like, with our newer clients.
36 00:03:16.680 ⇒ 00:03:17.360 Robert Tseng: Yeah.
37 00:03:17.500 ⇒ 00:03:24.070 Hannah Wang: So, yeah, just, I guess, the ones above, like, meet…
38 00:03:24.700 ⇒ 00:03:27.950 Hannah Wang: the in-progress one. Again, it’s not updated, but…
39 00:03:27.950 ⇒ 00:03:29.140 Robert Tseng: Yeah. Okay.
40 00:03:29.340 ⇒ 00:03:33.789 Robert Tseng: How do I give you feedback on that? I can just leave… leave comments or what?
41 00:03:35.210 ⇒ 00:03:40.090 Hannah Wang: Do you want to do this on the call, or do you want to do this later? Because I can send you the link, and then…
42 00:03:40.090 ⇒ 00:03:43.110 Robert Tseng: Sure, I can do it later. I feel like it’s not something we have to do now.
43 00:03:43.150 ⇒ 00:03:44.800 Hannah Wang: Sure,
44 00:03:44.930 ⇒ 00:03:56.370 Hannah Wang: You can just leave a comment in each of them, be like, oh, close, or due, or something, and then… Okay. I’ll just, like, close out the ones that I feel like are not super relevant.
45 00:03:56.370 ⇒ 00:03:56.990 Robert Tseng: Yeah.
46 00:03:57.550 ⇒ 00:04:03.750 Hannah Wang: Cool. And then, in terms of, like, knowing when
47 00:04:04.460 ⇒ 00:04:10.200 Hannah Wang: a project is done, and a case study can be created. Like, obviously, I’m not in the…
48 00:04:10.380 ⇒ 00:04:17.720 Hannah Wang: stand-ups, or, like, the client calls and stuff like that, so… I guess, like, what… Is there, like, a…
49 00:04:18.310 ⇒ 00:04:31.140 Hannah Wang: final deliver… like, yeah, how should I keep track of that, I guess? Like, know when something is done, so I can, like, reach out to whoever’s doing the work and see if we want to make a case study out of it?
50 00:04:32.620 ⇒ 00:04:46.020 Robert Tseng: I feel like that should be on the PMs to basically, like… I mean, we do track everything linear. I don’t think we roll all the tickets up to projects correctly, but when a project is done, we should, like, set up some
51 00:04:46.510 ⇒ 00:04:58.059 Robert Tseng: trigger that, like, automatically tells you, alright, blah blah blah project is done, and then that prompts you to go and reach out. Like, that’s how I think that should be done.
52 00:04:58.060 ⇒ 00:04:58.900 Hannah Wang: Yeah.
53 00:04:59.100 ⇒ 00:04:59.730 Robert Tseng: Yeah.
54 00:04:59.910 ⇒ 00:05:01.899 Robert Tseng: But I know we don’t have that right now.
55 00:05:02.250 ⇒ 00:05:18.129 Hannah Wang: Yeah, it’s probably… we can set up, like, an AI workflow or something in Linear for that, so… okay, I can reach out to the AI team and PM team. Enrico, you’re here too, so keep me accountable on that, because I might forget.
56 00:05:18.320 ⇒ 00:05:24.750 Hannah Wang: Cool, and then… I… one of my bullets was, what new ones do we need? So I know we…
57 00:05:24.750 ⇒ 00:05:25.210 Robert Tseng: Yeah.
58 00:05:25.210 ⇒ 00:05:28.769 Hannah Wang: want the LE Mental Health one, which I…
59 00:05:28.980 ⇒ 00:05:38.670 Hannah Wang: talked to Zoran… Zoran? Zoran? Yeah, Zoran, yeah. And then I got that done, oh.
60 00:05:39.030 ⇒ 00:05:39.570 Hannah Wang: Eddie.
61 00:05:39.570 ⇒ 00:05:39.900 Robert Tseng: Sorry.
62 00:05:39.900 ⇒ 00:05:47.890 Hannah Wang: That’s okay. Any other ones you can think top of mind that you would want,
63 00:05:48.030 ⇒ 00:05:51.079 Hannah Wang: like, ASAP for calls and stuff.
64 00:05:52.120 ⇒ 00:06:02.489 Robert Tseng: Yeah, I’m pulling up our clients page, just kind of looking through them.
65 00:06:03.260 ⇒ 00:06:04.940 Robert Tseng: I think Urban Stems.
66 00:06:05.220 ⇒ 00:06:08.510 Robert Tseng: Well, we already… do we already have an Urban Stems one?
67 00:06:08.810 ⇒ 00:06:14.649 Hannah Wang: we have… some urban STEMS-related ones, but I don’t know if it’s the project…
68 00:06:15.230 ⇒ 00:06:22.740 Hannah Wang: you were thinking… oh, we only have one. The one where we cut, like, 800 dashboards, or, like, basically…
69 00:06:23.440 ⇒ 00:06:26.559 Hannah Wang: how do I… my terminology…
70 00:06:26.560 ⇒ 00:06:29.540 Robert Tseng: Yeah, that one? Okay.
71 00:06:29.800 ⇒ 00:06:40.130 Hannah Wang: I think that’s the only one we have in the platform, and I don’t know if there’s any in the backlog in the Notion page with Urban Stems, but.
72 00:06:40.130 ⇒ 00:06:43.229 Robert Tseng: Okay, actually, forget that. That’s the one I was thinking of, so that’s… that’s good.
73 00:06:43.230 ⇒ 00:06:44.200 Hannah Wang: Oh, okay.
74 00:06:44.330 ⇒ 00:06:48.420 Robert Tseng: Yeah, I mean, there’s more on Eden, so…
75 00:06:48.420 ⇒ 00:06:49.210 Hannah Wang: Right.
76 00:06:49.210 ⇒ 00:06:54.750 Robert Tseng: Yeah, Eden probably has two projects, one from Henry, which is… yeah, I…
77 00:06:54.750 ⇒ 00:06:55.860 Hannah Wang: Calling him tomorrow.
78 00:06:55.910 ⇒ 00:06:56.840 Robert Tseng: Okay.
79 00:06:59.270 ⇒ 00:07:03.609 Hannah Wang: Well, I’m calling in for the corral data one, I don’t know if that’s related to the Henry one.
80 00:07:07.710 ⇒ 00:07:10.570 Robert Tseng: Wait, what? Henry’s talking to you about corral data?
81 00:07:11.920 ⇒ 00:07:18.009 Hannah Wang: Well, I sent you the invite too, and then I was like, oh, do you want me to loop in anyone else? And you’re like, Henry.
82 00:07:18.110 ⇒ 00:07:20.550 Hannah Wang: Oh, right. So I just said the invite, yeah.
83 00:07:20.550 ⇒ 00:07:24.320 Robert Tseng: Yeah, it’s probably just gonna be me. I might… I might take him off that call, but .
84 00:07:24.320 ⇒ 00:07:24.990 Hannah Wang: -Oh, okay.
85 00:07:24.990 ⇒ 00:07:36.089 Robert Tseng: Yeah, because I feel like… I don’t really think he knows what it was either, so… Okay. I think I’d probably be the one to talk about that one. Yeah, so Corral, check corral for me, no, Henry,
86 00:07:36.540 ⇒ 00:07:44.840 Robert Tseng: For Henry, it’s specifically, like, segments and customer I.O, if that means anything to you. Yeah, there’s a project around that where.
87 00:07:44.840 ⇒ 00:07:45.280 Hannah Wang: Okay.
88 00:07:45.280 ⇒ 00:07:59.289 Robert Tseng: yeah, that I think he should… he should share about. We had… we… big, big cost savings, and… and yeah, there were, like, some really big cost savings there, and then we also kind of enabled some marketer or whatever, so I think that’s what I’m thinking for him.
89 00:07:59.360 ⇒ 00:08:07.009 Robert Tseng: And then, I think it’s Ron again, on Eden, which I know he has time. He… it’s… it’s… yeah, we’re…
90 00:08:07.390 ⇒ 00:08:13.440 Robert Tseng: Yeah, Henry’s maybe a little bit more stretched thin, but I think Saron can speak to something called Catalysts.
91 00:08:13.800 ⇒ 00:08:16.979 Robert Tseng: Yeah, so he’ll share about that project.
92 00:08:17.220 ⇒ 00:08:21.820 Robert Tseng: So, I think those 3, I think, are ready to go.
93 00:08:22.840 ⇒ 00:08:28.070 Robert Tseng: I would say…
94 00:08:31.700 ⇒ 00:08:36.069 Robert Tseng: I want to say with Remo, we should just say something as well.
95 00:08:37.870 ⇒ 00:08:40.479 Robert Tseng: Okay, we’re gonna do another one with hype.
96 00:08:40.610 ⇒ 00:08:43.760 Robert Tseng: I know hype is done, but, like, I think…
97 00:08:43.950 ⇒ 00:08:51.950 Robert Tseng: This would be a good one for a Wish to talk about the work that he did there. This is purely, like.
98 00:08:52.120 ⇒ 00:08:56.000 Robert Tseng: Like, we pretty much designed their,
99 00:08:59.780 ⇒ 00:09:05.940 Robert Tseng: Like, it, it’s gonna be, like, a data strategy and audit for, like, a…
100 00:09:06.610 ⇒ 00:09:13.010 Robert Tseng: Specialty Health Clinic. He’s not gonna use the name of the… of the client, but I think…
101 00:09:13.210 ⇒ 00:09:18.490 Robert Tseng: since we’re talking to more healthcare companies, I kind of want to get another health… a health one out there, so…
102 00:09:18.490 ⇒ 00:09:21.049 Hannah Wang: So you want to anonymize the hype one?
103 00:09:21.390 ⇒ 00:09:28.909 Robert Tseng: Yeah, well, yeah, anonymize it for hype for now, but, like, the vendor itself that he would talk about is called.
104 00:09:28.910 ⇒ 00:09:29.900 Hannah Wang: Oh.
105 00:09:29.940 ⇒ 00:09:34.790 Robert Tseng: We’re trying to do a partnership with Healthy, so I think it’d be a good…
106 00:09:34.910 ⇒ 00:09:49.080 Robert Tseng: case study to build, and we can share it with Healthy, and be like, hey, look, we already kind of helped one of your customers, like, set this thing up, and then it’d be something I could go and pitch to other healthcare companies that are using Healthy.
107 00:09:50.010 ⇒ 00:09:53.630 Hannah Wang: So hype is, like, a very dark.
108 00:09:53.630 ⇒ 00:09:59.189 Robert Tseng: Clients. Okay. Hype is our clients. Healthy is the vendor.
109 00:10:00.030 ⇒ 00:10:00.810 Hannah Wang: Right, okay.
110 00:10:00.810 ⇒ 00:10:01.480 Robert Tseng: Yeah.
111 00:10:02.410 ⇒ 00:10:05.189 Hannah Wang: I know we talked to Healthy before, right? Did we not?
112 00:10:05.190 ⇒ 00:10:07.320 Robert Tseng: We did. We tried to…
113 00:10:07.510 ⇒ 00:10:12.069 Robert Tseng: This is before we started talking to Hyde… before we started working with Hype.
114 00:10:12.070 ⇒ 00:10:12.760 Hannah Wang: Oh, okay.
115 00:10:12.760 ⇒ 00:10:18.340 Robert Tseng: Yeah, I don’t think the conversations went anywhere because we didn’t actually work upon their customers.
116 00:10:18.570 ⇒ 00:10:25.349 Robert Tseng: But, yeah, I had connected with some healthy people here in New York. They put on an event that I went to.
117 00:10:25.630 ⇒ 00:10:29.720 Robert Tseng: Yeah, so I think it’s just, you know, a better time to talk to them now.
118 00:10:30.050 ⇒ 00:10:30.530 Hannah Wang: Okay.
119 00:10:30.530 ⇒ 00:10:31.320 Robert Tseng: Yeah.
120 00:10:31.320 ⇒ 00:10:32.110 Hannah Wang: Got it.
121 00:10:32.570 ⇒ 00:10:34.669 Hannah Wang: Okay, yeah, I can put…
122 00:10:34.670 ⇒ 00:10:36.230 Robert Tseng: That’s a lot already, so…
123 00:10:36.230 ⇒ 00:10:37.300 Hannah Wang: Yeah, that’s 4.
124 00:10:37.300 ⇒ 00:10:39.159 Robert Tseng: That’ll keep you busy, yeah.
125 00:10:39.160 ⇒ 00:10:47.430 Hannah Wang: Yeah, okay, that, that sounds good. Okay, that was helpful. And then…
126 00:10:47.860 ⇒ 00:10:52.270 Hannah Wang: Okay, so I think case studies is good.
127 00:10:52.810 ⇒ 00:11:08.649 Hannah Wang: And then move on to our next topic, which is the Mofu stuff. So, Rico, feel free to hop off. I did take notes on the new case studies, so I will send you a note about that, and then, once…
128 00:11:08.930 ⇒ 00:11:17.269 Hannah Wang: Robert gives feedback on the Notion page, I think, yeah, I’m finally gonna clean everything up. So, I’ll just loop you in wherever I need you.
129 00:11:17.940 ⇒ 00:11:19.219 Rico Rejoso: Got it, thank you.
130 00:11:19.320 ⇒ 00:11:20.670 Hannah Wang: Alright, thanks. Cool, thanks.
131 00:11:22.330 ⇒ 00:11:31.820 Hannah Wang: Okay, so Mofu stuff… Where’s my screen?
132 00:11:36.360 ⇒ 00:11:41.909 Hannah Wang: It’s… it’s been a hard week. It’s… there’s a… There’s more death.
133 00:11:42.100 ⇒ 00:11:43.870 Hannah Wang: Beyond…
134 00:11:43.870 ⇒ 00:11:45.050 Robert Tseng: What you shared with me?
135 00:11:45.050 ⇒ 00:11:51.159 Hannah Wang: Yeah… like, my… one of my… one of the sisters from BBC, her twin.
136 00:11:51.500 ⇒ 00:12:09.609 Hannah Wang: her twin’s husband’s brother passed away from a heart attack, oh, no. Like, two days ago. He’s a believer, so he’s in heaven, but… yeah, it’s just like, why… what is going on? I don’t… I don’t get it. Like, yeah, it’s… it’s a lot of death recently.
137 00:12:09.610 ⇒ 00:12:09.990 Robert Tseng: Yeah.
138 00:12:09.990 ⇒ 00:12:13.649 Hannah Wang: I think it’s just, like, affecting me,
139 00:12:14.550 ⇒ 00:12:23.280 Hannah Wang: Yeah, because maybe I’m an empath or something, but I just feel like the weight of, you know, the brokenness of this world, and it’s… I need a…
140 00:12:23.990 ⇒ 00:12:28.599 Hannah Wang: lament to the Lord, so… I will do that sometime, but…
141 00:12:28.900 ⇒ 00:12:29.480 Robert Tseng: Yeah.
142 00:12:29.480 ⇒ 00:12:42.480 Hannah Wang: Onward, onward we go. Okay. Let me see… Alright, so Mofu stuff. I think that…
143 00:12:43.020 ⇒ 00:12:49.060 Hannah Wang: Like, the health… health sector stuff is kind of hard for me, because…
144 00:12:49.290 ⇒ 00:12:52.610 Hannah Wang: We have a lot of, like, Eden…
145 00:12:53.110 ⇒ 00:13:06.580 Hannah Wang: and, like, healthcare case studies. Oh, I guess there’s only 4, but we have 4 of these case studies for Eden. And I just don’t know what the best one to use is per, like.
146 00:13:07.190 ⇒ 00:13:11.500 Hannah Wang: job descript… like, CEO versus, like, head of product versus all that stuff.
147 00:13:11.840 ⇒ 00:13:28.890 Hannah Wang: answer AI gives me, it just tells me to use the same one every time, which is this one. Like, it keeps saying, oh, this is the best fit, like, for all these companies, like, how we basically unified everything, and I’m like, I don’t…
148 00:13:28.990 ⇒ 00:13:34.440 Hannah Wang: I don’t know if that’s true, like, maybe it is, but… Yeah, I…
149 00:13:34.440 ⇒ 00:13:41.399 Robert Tseng: Yeah, the other ones are, like, too specific. That one’s, like, more generalized. AI always gives you the more gen… the safer answer, which is what.
150 00:13:41.400 ⇒ 00:13:41.750 Hannah Wang: Right.
151 00:13:41.750 ⇒ 00:13:42.650 Robert Tseng: annoying.
152 00:13:44.040 ⇒ 00:13:51.450 Hannah Wang: Yeah, I was like, GPT says to use Eden for everything, but I’m trying to be more, like, strategic about it,
153 00:13:51.820 ⇒ 00:13:59.820 Hannah Wang: so I don’t… I guess I don’t know what the best way to go through this with you is, but let’s just take, like.
154 00:14:00.450 ⇒ 00:14:05.789 Hannah Wang: This person, for example, like, she…
155 00:14:05.970 ⇒ 00:14:09.819 Hannah Wang: She’s the founder of a health
156 00:14:12.960 ⇒ 00:14:14.919 Hannah Wang: I guess it’s just, like, something that…
157 00:14:14.920 ⇒ 00:14:16.260 Robert Tseng: It’s like an app, yeah.
158 00:14:16.260 ⇒ 00:14:18.180 Hannah Wang: Yeah, with nutrition or something.
159 00:14:18.180 ⇒ 00:14:18.790 Robert Tseng: an app.
160 00:14:19.040 ⇒ 00:14:25.400 Hannah Wang: Yes, and I drafted up a… message,
161 00:14:27.000 ⇒ 00:14:36.550 Hannah Wang: Did I use the brittle dashboard case study? I did. Oh, that’s lame. But anyway, let’s… okay, sure. I… I try to make it relevant, because…
162 00:14:37.460 ⇒ 00:14:48.520 Hannah Wang: Okay, I think my problem is that, like, I read these things, and I think I still don’t really fully understand the project, so it’s hard for me to map, like, what exactly
163 00:14:49.480 ⇒ 00:14:58.139 Hannah Wang: yeah, what will, like, hit, because I’m, like, all these words honestly just, like, roll over my brain, and, like, they all sound the same to me.
164 00:14:58.750 ⇒ 00:15:03.720 Hannah Wang: So this one is, like, what is this for? It’s basically…
165 00:15:05.280 ⇒ 00:15:13.170 Hannah Wang: creating a dashboard for consolidating, like, all the data that was across, like, a bunch of tools, is that what it is?
166 00:15:13.340 ⇒ 00:15:13.970 Hannah Wang: And, like…
167 00:15:13.970 ⇒ 00:15:23.289 Robert Tseng: Yeah, I think what we need to do is, like, for each of these assets, we need somebody to go in there and, like, label it with metadata, which is, like.
168 00:15:23.930 ⇒ 00:15:42.009 Robert Tseng: I mean, yeah, just, like, label it Dashboard, BigQuery, like, all the, like, keyword tools or whatever, keywords. And then for these leads, like, we also need to be able to label them as well, like, label their companies. And then AI can do, like, a, okay, this is an 80% match, like, you should use this one, or whatever.
169 00:15:42.010 ⇒ 00:15:43.120 Hannah Wang: Right. Okay.
170 00:15:43.120 ⇒ 00:15:49.420 Robert Tseng: I think that would be… that would make this… that would make the AI assist, like, better. So…
171 00:15:49.420 ⇒ 00:15:50.110 Hannah Wang: Yeah.
172 00:15:50.110 ⇒ 00:15:59.169 Robert Tseng: I feel like that’s a better use of your time, that way you’re not having to, like, just, like, train your intuition. I mean, the intuition will come, I guess, but… yeah, so, like.
173 00:16:00.230 ⇒ 00:16:03.420 Robert Tseng: The data labeling should, frankly, come from
174 00:16:04.320 ⇒ 00:16:09.360 Robert Tseng: Who’s gonna be able to do it other than me and Utom?
175 00:16:10.950 ⇒ 00:16:17.969 Robert Tseng: Yeah, it might have to just be me and Utam, which is fine, like, I can just do this mindless work in the night or something, and just…
176 00:16:17.970 ⇒ 00:16:18.450 Hannah Wang: Yeah.
177 00:16:18.450 ⇒ 00:16:28.379 Robert Tseng: look through every case study and just, like, key in, like, different labels. And, like, yeah, I can tell Utam, hey, look, every file needs to have at least 10 labels on it.
178 00:16:28.540 ⇒ 00:16:42.220 Robert Tseng: And then… but then it’s gonna be on you slash Ryan to be able to label Kalina and tell me, this is an app company, like, app healthcare, app healthcare.
179 00:16:43.040 ⇒ 00:16:50.360 Robert Tseng: I don’t know, whatever, let me just look at what else they have. And I think AI can help you with this, but we just have to, like, come up with, like, the…
180 00:16:51.140 ⇒ 00:16:57.360 Robert Tseng: the boundaries. It’s like, once we come up with all the labels for…
181 00:16:57.510 ⇒ 00:17:06.700 Robert Tseng: our… for our case studies, then you take that same list, and you ask AI to label these companies with.
182 00:17:07.220 ⇒ 00:17:07.589 Hannah Wang: Yeah.
183 00:17:07.599 ⇒ 00:17:16.929 Robert Tseng: labels. The tags, yep. Yeah, that way it’s not, like, coming up with a bunch of new ones that, like, it can’t match on. And obviously, we have to keep expanding, like, what we do.
184 00:17:17.379 ⇒ 00:17:21.899 Robert Tseng: But yeah, to me, this becomes an engineering problem. It’s like, how do you match
185 00:17:22.409 ⇒ 00:17:34.389 Robert Tseng: how do you train… how do you… yeah, how do you train AI to, like, match the right case study to the right lead? Which I think is, like, an interesting project, like.
186 00:17:34.390 ⇒ 00:17:35.290 Hannah Wang: Yeah.
187 00:17:35.290 ⇒ 00:17:38.649 Robert Tseng: Yeah, like, that ends up… that’s… that’s what this ends up becoming.
188 00:17:38.960 ⇒ 00:17:41.079 Hannah Wang: And that could be a case study, too, honestly.
189 00:17:41.080 ⇒ 00:17:44.660 Robert Tseng: Yeah, exactly. So… Yeah.
190 00:17:44.660 ⇒ 00:17:45.150 Hannah Wang: Okay.
191 00:17:45.150 ⇒ 00:17:51.679 Robert Tseng: that makes this less, like, mundane for you, and it’s like, oh, you actually have to, like, you’re basically gonna PM, like a…
192 00:17:52.090 ⇒ 00:17:52.810 Robert Tseng: tool.
193 00:17:53.180 ⇒ 00:17:56.879 Robert Tseng: You have the design editor, like, yeah, yeah, so…
194 00:17:58.130 ⇒ 00:18:00.429 Hannah Wang: Yeah, I mean, we already have, like, these…
195 00:18:00.660 ⇒ 00:18:10.399 Hannah Wang: this metadata, like, all of this is the metadata, but I’m sure I can talk to the AI team to add more, like, tags.
196 00:18:10.800 ⇒ 00:18:12.000 Hannah Wang: Based on…
197 00:18:12.680 ⇒ 00:18:17.320 Robert Tseng: Yeah, we need, like, vendor… like, this is just client, content type, and industry.
198 00:18:17.320 ⇒ 00:18:17.710 Hannah Wang: Yeah.
199 00:18:17.710 ⇒ 00:18:21.830 Robert Tseng: Like, it’s not… has nothing to do with the content of what’s actually in there.
200 00:18:21.830 ⇒ 00:18:22.430 Hannah Wang: Yeah.
201 00:18:23.100 ⇒ 00:18:30.300 Hannah Wang: Yeah, so once we have those tags, we can, like, add it. We don’t have to add it, necessarily. Yeah, I… yeah, we just have to think about the good…
202 00:18:30.780 ⇒ 00:18:33.520 Hannah Wang: a good UX for it, and…
203 00:18:33.940 ⇒ 00:18:43.139 Hannah Wang: And then I actually like Ryan is good at, like, you know, like, being scrappy like that, so I feel like I can ask him to help as well,
204 00:18:43.410 ⇒ 00:18:44.690 Hannah Wang: And then… Yeah.
205 00:18:44.690 ⇒ 00:18:50.480 Robert Tseng: So, for Kalina, actually, unlocking conversions in a regulated funnel would be the one I would pitch to them.
206 00:18:51.310 ⇒ 00:18:56.920 Hannah Wang: Why? Because… oh, can I, can I, can I… I guess… wait, let me look at the case study first.
207 00:18:57.110 ⇒ 00:18:58.420 Hannah Wang: This is…
208 00:18:59.040 ⇒ 00:19:14.489 Hannah Wang: it’s just seeing, like, who converted to, like, a higher paid tier. Like, basically tracking, what is it? Like, customer… the customer journey or something, and seeing, like, where they churned and, like, where they didn’t? Or is that another case study I’m thinking of?
209 00:19:14.980 ⇒ 00:19:16.119 Hannah Wang: Oh my goodness.
210 00:19:16.450 ⇒ 00:19:20.499 Robert Tseng: Yeah, well, this is, like, for intakes, like, which…
211 00:19:20.730 ⇒ 00:19:27.160 Robert Tseng: I mean, you may… but, like, so I just… I’m on Kalina’s homepage, you can… we can go to Kalina’s homepage if you want.
212 00:19:28.550 ⇒ 00:19:29.170 Hannah Wang: Yeah.
213 00:19:29.590 ⇒ 00:19:34.759 Robert Tseng: And if you scroll down a little bit, yeah, even, like, their Get Started, right? You click on Get Started.
214 00:19:36.090 ⇒ 00:19:37.430 Hannah Wang: Mmm,
215 00:19:38.810 ⇒ 00:19:39.490 Hannah Wang: Mmm.
216 00:19:39.490 ⇒ 00:19:42.789 Robert Tseng: like, it’s gonna bring you to a form. This is the intake form.
217 00:19:42.950 ⇒ 00:19:46.580 Robert Tseng: So, what we did was we pretty much optimized this for Eden.
218 00:19:46.690 ⇒ 00:19:59.470 Robert Tseng: I mean, every… every digital health company starts with a… with an intake form, and I’m sure they just want to… they want more… they want more conversions. So, like, I think that’s… that, to me seems like a…
219 00:19:59.590 ⇒ 00:20:00.630 Robert Tseng: better.
220 00:20:00.830 ⇒ 00:20:01.810 Robert Tseng: magic.
221 00:20:02.120 ⇒ 00:20:03.010 Hannah Wang: Mmm.
222 00:20:03.010 ⇒ 00:20:03.720 Robert Tseng: Yeah.
223 00:20:04.500 ⇒ 00:20:10.389 Hannah Wang: Yeah, I didn’t know what an intake form was, so that’s helpful. It’s just literally a form, okay?
224 00:20:10.390 ⇒ 00:20:12.349 Robert Tseng: Yeah, it’s literally just a form.
225 00:20:12.350 ⇒ 00:20:23.560 Hannah Wang: So, with Eden, you… what did you do? Like, you just tracked where in the form, like, people dropped off and stuff like that?
226 00:20:23.560 ⇒ 00:20:29.159 Robert Tseng: We told them how to simplify it, they weren’t… they weren’t able to capture answers from the different forms, like.
227 00:20:29.160 ⇒ 00:20:29.760 Hannah Wang: Hmm…
228 00:20:29.760 ⇒ 00:20:43.760 Robert Tseng: Yeah, so there we… yeah, we were able to track… we were able to add tracking to all the different steps in the form, able to help them extract more data from the answers, and then that kind of helped them to redesign their forms. I see. Yeah.
229 00:20:44.390 ⇒ 00:20:51.680 Hannah Wang: That… okay, I think also what’s helpful is just literally you talking me through each of these case studies, because, like, I can read it, I can, like, summarize.
230 00:20:51.680 ⇒ 00:20:53.390 Robert Tseng: Yeah, it doesn’t necessarily mean… yeah.
231 00:20:53.390 ⇒ 00:21:03.099 Hannah Wang: Yeah, it’s just… it goes over my head. But I can’t, like, expect you to do… like, I guess health is a big category, so it would be helpful, but, like.
232 00:21:03.420 ⇒ 00:21:06.449 Hannah Wang: Yeah, all… there’s, like, so many case studies, and I’m like…
233 00:21:06.450 ⇒ 00:21:10.270 Robert Tseng: Yeah, I would say the intake one is probably the most helpful for, like.
234 00:21:10.450 ⇒ 00:21:14.359 Robert Tseng: Yeah, so there’s, like, different tiers as well. So, like, the…
235 00:21:14.870 ⇒ 00:21:23.780 Robert Tseng: I mean, we’re not always going to have, like, the right tools, like, ideally… so, I defaulted to using intake, because I just went on Kalina’s website, and I, like, figured out, okay, well…
236 00:21:24.500 ⇒ 00:21:29.959 Robert Tseng: I mean, the first thing they ask you to do as a visitor is fill out their form, so I’m sure this is something that matters to them.
237 00:21:30.220 ⇒ 00:21:35.649 Robert Tseng: But if I knew anything about the tech stack they use, which I think Ryan could pull if he…
238 00:21:35.900 ⇒ 00:21:44.729 Robert Tseng: You know, but, like, I… I don’t know what tools they’re already using. Like, did they actually build this custom… doesn’t say custom platform? Are they using Bask Health? They’re not.
239 00:21:44.730 ⇒ 00:21:45.669 Hannah Wang: I’m not sure.
240 00:21:45.670 ⇒ 00:21:57.870 Robert Tseng: Are they using healthy… are they using any of the other systems, or the vendors that we have implemented? If we… if they do, then I would pitch a vendor-specific case study to them instead, because it’s like…
241 00:21:57.890 ⇒ 00:22:08.060 Robert Tseng: It’s not just, like, this general problem you have, but a very specific thing that we did with the tools that you’re already using, so… I see. Like, that’s kind of how I would…
242 00:22:08.250 ⇒ 00:22:09.060 Robert Tseng: like…
243 00:22:09.200 ⇒ 00:22:19.229 Robert Tseng: There’s gonna be some general case studies that are kind of tool agnostic, like, they’re just common problems that every company in this category faces, and then there’s gonna be
244 00:22:19.240 ⇒ 00:22:27.299 Robert Tseng: like, obviously, the best is if we can match exactly on the tools they’re using, which is why I’m getting so many hits on Mixpanel and Amplitude.
245 00:22:27.300 ⇒ 00:22:40.349 Robert Tseng: I think on… because on Upwork, I’m the highest rated, like, amplitude or whatever person, so, I just have, like, an abundance of amplitude case studies. I’m just gonna keep talking… people are just gonna keep talking to me about amplitude and mixed panel.
246 00:22:40.350 ⇒ 00:22:41.880 Hannah Wang: Right, I see. Yeah.
247 00:22:43.440 ⇒ 00:22:52.019 Hannah Wang: So probably, like, the specific tool-specific case studies that we send, like, that just does better if we know the company is utilizing.
248 00:22:52.020 ⇒ 00:23:04.039 Robert Tseng: Well, that’s my hypothesis, which is why when I was, like, giving you the list earlier, to talk to Zora and Henry about, like, I was, like, referencing the specific tools that they helped with.
249 00:23:04.040 ⇒ 00:23:04.630 Hannah Wang: Hmm.
250 00:23:04.630 ⇒ 00:23:05.470 Robert Tseng: Yeah.
251 00:23:06.460 ⇒ 00:23:15.269 Hannah Wang: Okay, I feel like another labeling thing, then, is probably, like, the tools used in each of these, because I do have them.
252 00:23:15.270 ⇒ 00:23:16.200 Robert Tseng: Yeah. Okay.
253 00:23:16.480 ⇒ 00:23:17.780 Robert Tseng: Yeah, you already have them, yeah, yeah.
254 00:23:17.780 ⇒ 00:23:21.390 Hannah Wang: Yeah, it’s just, like, I just thought, yeah, bleh, okay.
255 00:23:21.530 ⇒ 00:23:30.209 Hannah Wang: Okay, let’s… I want to run through, like, another one. So I looked at this one, this is…
256 00:23:30.800 ⇒ 00:23:41.539 Hannah Wang: This company… Wait… There was one about, like, OCD and mental health, I think it’s…
257 00:23:41.540 ⇒ 00:23:42.150 Robert Tseng: No.
258 00:23:42.150 ⇒ 00:23:55.790 Hannah Wang: this one. I go CD, and I was like, okay, mental health, Ellie, Ellie, mental health, and I was like, okay, is that, like, the right case study to use? But I know for Ellie, like, it’s a bit different because they’re…
259 00:23:56.120 ⇒ 00:24:07.999 Hannah Wang: they have, like, franchisees or something, and, like, we help them track Google ad, like, stuff for each of the franchisees or something, versus.
260 00:24:08.000 ⇒ 00:24:08.989 Robert Tseng: So it’s like…
261 00:24:08.990 ⇒ 00:24:17.320 Hannah Wang: this company, I don’t know if they have, like, that… it’s not like a marketplace of other, like, mental health
262 00:24:17.600 ⇒ 00:24:25.770 Hannah Wang: like, whatever clinics that LE Mental Health may have. This is just, like, they have individual therapists.
263 00:24:25.930 ⇒ 00:24:45.499 Hannah Wang: So I just… yeah, because… so that was, like, my thought process. I was like, oh, we could use the LE mental health one, but then, like, it’s not a similar structure, like, or, like, setup as this company, so that’s why I was like, oh, maybe it’s not, like, a good case study to send, but I don’t know, like, what…
264 00:24:46.150 ⇒ 00:24:50.500 Hannah Wang: What’s my… what are… What’s your feedback on that?
265 00:24:50.760 ⇒ 00:24:51.620 Robert Tseng: Yeah.
266 00:24:51.740 ⇒ 00:25:03.079 Robert Tseng: Yeah, I think you’re right. I mean, this is, like, if I got on a call with NOCD, like, I’d be able to draw the parallels to Ellie. Like, if you… I don’t know if you’ve looked on Ellie’s website, but, like.
267 00:25:03.340 ⇒ 00:25:06.799 Robert Tseng: If you go on Ellie’s website…
268 00:25:07.140 ⇒ 00:25:20.480 Robert Tseng: and you click, like, get therapy, find my Ellie, like, yeah, they’re gonna give you some clinics, like, yeah, this is, like, you have to find the clinic. Right. But then you’re also doing a similar thing, where you’re selecting, like, your list of… from a list of, like, therapists.
269 00:25:20.480 ⇒ 00:25:21.850 Hannah Wang: Yep.
270 00:25:22.560 ⇒ 00:25:26.569 Robert Tseng: Yeah, I mean, for them, I mean, I guess everything is…
271 00:25:27.620 ⇒ 00:25:30.460 Robert Tseng: I mean, yeah, this is because…
272 00:25:31.060 ⇒ 00:25:39.070 Robert Tseng: they’re… they don’t have… this is purely digital telehealth, like, they don’t have any storefronts, or, like, they don’t have any clinics. Right.
273 00:25:43.600 ⇒ 00:25:46.420 Robert Tseng: Yeah… I…
274 00:25:50.410 ⇒ 00:25:55.919 Robert Tseng: We haven’t done any, like… Provider listing optimization.
275 00:26:00.950 ⇒ 00:26:03.810 Robert Tseng: It’s honestly something I should be doing with Ellie.
276 00:26:07.950 ⇒ 00:26:12.779 Robert Tseng: I still think it’s worth sending the Ellie one in this case, like, it’s the closest thing we have.
277 00:26:13.080 ⇒ 00:26:13.740 Hannah Wang: Yeah.
278 00:26:15.400 ⇒ 00:26:16.130 Robert Tseng: Yeah.
279 00:26:18.150 ⇒ 00:26:20.060 Hannah Wang: And then when we send it, like.
280 00:26:20.700 ⇒ 00:26:33.480 Hannah Wang: I guess the next step for me that I struggle with is, like, the messaging, and making it, like, related. Because, like, my… my thing is, like, oh, just try to find, like, a overlap, and be like.
281 00:26:33.520 ⇒ 00:26:45.679 Hannah Wang: oh, I thought you might find this interesting because we did this for this company, and then I always want to, like, ask a question, like, what do you think? And so I feel like that… that dance is, like, hard…
282 00:26:46.060 ⇒ 00:26:49.159 Hannah Wang: For me, like, that’s where I just use a lot of AI, honestly.
283 00:26:49.160 ⇒ 00:26:49.710 Robert Tseng: Yeah, too.
284 00:26:49.710 ⇒ 00:26:52.589 Hannah Wang: like, help. So, like, for this one.
285 00:26:52.800 ⇒ 00:26:56.349 Hannah Wang: like, I would say something like, oh, we recently worked with
286 00:26:56.840 ⇒ 00:27:11.049 Hannah Wang: Well, I guess another question is, can I mention all the clients by name, or do I have to keep it anonymized? Yeah, you can mention them. Okay. It’s like, oh, we worked with Ellie Mental Health, they, like, do blah blah blah, and we help them
287 00:27:11.230 ⇒ 00:27:19.879 Hannah Wang: Do blah blah blah, like… How do I make it… related to NOCD, like.
288 00:27:20.650 ⇒ 00:27:31.100 Hannah Wang: because what I would say is just, like, I thought you might find it interesting, because we worked with another, like, mental health, like, company-related company, but…
289 00:27:31.210 ⇒ 00:27:33.090 Robert Tseng: Yeah, I think that’s fine.
290 00:27:33.090 ⇒ 00:27:33.720 Hannah Wang: Oh, okay.
291 00:27:33.720 ⇒ 00:27:34.460 Robert Tseng: Yeah.
292 00:27:35.500 ⇒ 00:27:43.240 Robert Tseng: If you don’t have… if you don’t have a specific question or, like, kind of thing to map… to pattern match on, you can just say, like, balance industry, yeah.
293 00:27:43.240 ⇒ 00:27:44.180 Hannah Wang: Okay.
294 00:27:44.260 ⇒ 00:27:46.569 Robert Tseng: Yeah. I mean.
295 00:27:46.570 ⇒ 00:27:47.020 Hannah Wang: Tired.
296 00:27:47.020 ⇒ 00:27:47.740 Robert Tseng: We take gas.
297 00:27:47.740 ⇒ 00:27:48.170 Hannah Wang: Yeah.
298 00:27:48.170 ⇒ 00:27:49.589 Robert Tseng: They’re not telling you anything.
299 00:27:49.590 ⇒ 00:27:50.380 Hannah Wang: Right.
300 00:27:50.380 ⇒ 00:27:51.200 Robert Tseng: Yeah.
301 00:27:51.960 ⇒ 00:27:57.360 Hannah Wang: Okay, let me try one more that I didn’t…
302 00:27:57.560 ⇒ 00:28:02.720 Hannah Wang: think through yet. Goodrx, I know they’re in Santa Monica.
303 00:28:03.150 ⇒ 00:28:04.060 Robert Tseng: Oh, wow.
304 00:28:04.060 ⇒ 00:28:05.140 Hannah Wang: No, actually, I don’t know.
305 00:28:05.140 ⇒ 00:28:06.659 Robert Tseng: No, no, they are, they are, yeah.
306 00:28:06.660 ⇒ 00:28:10.339 Hannah Wang: Didn’t you try to work with them or something?
307 00:28:10.340 ⇒ 00:28:16.059 Robert Tseng: Yeah, my, one of my mentors in college was the… one of the co-founders.
308 00:28:16.990 ⇒ 00:28:17.690 Hannah Wang: Oh.
309 00:28:18.530 ⇒ 00:28:19.140 Robert Tseng: Yeah.
310 00:28:19.520 ⇒ 00:28:25.120 Hannah Wang: Okay, that’s… that’s cool. You have a way in, kind of, I guess, through that? I don’t know.
311 00:28:25.120 ⇒ 00:28:27.680 Robert Tseng: Yeah, I… they’re… they’re not gonna…
312 00:28:28.160 ⇒ 00:28:30.960 Robert Tseng: They’re, like, so big now, they’re not gonna work with us, it’s kind of…
313 00:28:30.960 ⇒ 00:28:33.280 Hannah Wang: Really? Okay.
314 00:28:33.280 ⇒ 00:28:36.859 Robert Tseng: At least not on data work, like, it would have to be something, like.
315 00:28:37.130 ⇒ 00:28:37.720 Hannah Wang: AI.
316 00:28:37.720 ⇒ 00:28:54.750 Robert Tseng: AI. I think, like, we can… we can… I’m trying to, like, get Joe to think about, like, the AI stuff, like, I want to be pitching to the enterprises. Like, that’s the bet that I’m making. The data work that we do is good for the startups, because we move fast, like… Yep.
317 00:28:55.090 ⇒ 00:29:00.830 Robert Tseng: Yeah, but on… otherwise, like, at the enterprise level, they already have their own people, they don’t really need us.
318 00:29:02.720 ⇒ 00:29:07.110 Robert Tseng: Or at least that’s what you would think, until you realize that they don’t know what they’re doing.
319 00:29:07.110 ⇒ 00:29:12.219 Hannah Wang: Right. Okay, so for the bigger companies, pitch AI, so…
320 00:29:12.220 ⇒ 00:29:12.840 Robert Tseng: Yeah.
321 00:29:12.840 ⇒ 00:29:15.249 Hannah Wang: Let’s see, oh.
322 00:29:15.490 ⇒ 00:29:20.339 Hannah Wang: But we don’t… yeah, so I’m thinking through, like, all of our AI case studies.
323 00:29:21.970 ⇒ 00:29:24.960 Robert Tseng: Yeah, I mean, at this point, I wouldn’t do an AI case study.
324 00:29:25.370 ⇒ 00:29:30.089 Robert Tseng: AI, like, demo that we have, something that might be relevant for a health company.
325 00:29:31.940 ⇒ 00:29:32.320 Robert Tseng: Yeah.
326 00:29:32.320 ⇒ 00:29:36.169 Hannah Wang: Which I don’t know if we do, honestly. Yeah.
327 00:29:36.900 ⇒ 00:29:39.220 Robert Tseng: Yeah, so if we don’t, then it’s fine, we can just.
328 00:29:39.220 ⇒ 00:29:40.000 Hannah Wang: Yeah.
329 00:29:40.440 ⇒ 00:29:46.139 Robert Tseng: past them, and just, like, here’s a general thing about Rainforest, like, we’d love to kind of.
330 00:29:46.140 ⇒ 00:29:46.940 Hannah Wang: Mmm…
331 00:29:46.940 ⇒ 00:29:49.780 Robert Tseng: Keep in touch, kind of, whatever situation, or, like, yeah.
332 00:29:50.810 ⇒ 00:29:56.479 Hannah Wang: thing about… maybe give them, like, our… one of our AI collateral, or something.
333 00:29:56.480 ⇒ 00:29:57.120 Robert Tseng: Yeah.
334 00:29:57.850 ⇒ 00:30:02.030 Robert Tseng: Or just, and you could… if you want to ask questions, be like, oh, we’d love to hear about, like, how…
335 00:30:02.340 ⇒ 00:30:02.750 Hannah Wang: you know.
336 00:30:02.750 ⇒ 00:30:05.989 Robert Tseng: how you’re thinking about AI in your organization.
337 00:30:05.990 ⇒ 00:30:06.570 Hannah Wang: Oh, man.
338 00:30:06.570 ⇒ 00:30:07.490 Robert Tseng: more efficient.
339 00:30:07.660 ⇒ 00:30:08.420 Robert Tseng: Yeah.
340 00:30:12.010 ⇒ 00:30:21.279 Hannah Wang: Alright, okay, let’s see… Let me try this one. Lumen… so Lumen is…
341 00:30:22.530 ⇒ 00:30:36.380 Hannah Wang: It’s, like, so interesting when you do, like, lead sales and lead stuff, because you just see that there’s so many companies for so many products, and it’s, like, fascinating that new companies still appear.
342 00:30:37.850 ⇒ 00:30:38.170 Robert Tseng: Yeah.
343 00:30:38.170 ⇒ 00:30:43.139 Hannah Wang: is, like a… it helps you track your metabolism.
344 00:30:43.140 ⇒ 00:30:45.179 Robert Tseng: Yeah, it’s a diagnostics tool, yeah.
345 00:30:45.180 ⇒ 00:30:53.520 Hannah Wang: Yeah. So this one, I’m like, I don’t know if we’ve worked… With, like, a… product.
346 00:30:54.420 ⇒ 00:30:56.100 Hannah Wang: Like, a health product?
347 00:30:56.100 ⇒ 00:30:57.490 Robert Tseng: Cool, like, smart devices.
348 00:30:57.490 ⇒ 00:30:59.460 Hannah Wang: Yeah.
349 00:30:59.750 ⇒ 00:31:00.500 Robert Tseng: Yeah, it’s tough.
350 00:31:00.500 ⇒ 00:31:11.550 Hannah Wang: I had a hard time with this one, too. I was like, I don’t know… Yeah. I mean, just… yeah, for the ones that you’re struggling too much on, it’s just, like, probably not a good fit, man.
351 00:31:11.550 ⇒ 00:31:14.630 Robert Tseng: Yeah. And we don’t have to… we don’t have to mess with them.
352 00:31:14.780 ⇒ 00:31:16.350 Hannah Wang: Yeah, okay.
353 00:31:16.350 ⇒ 00:31:17.220 Robert Tseng: Yeah.
354 00:31:17.220 ⇒ 00:31:19.310 Hannah Wang: Okay.
355 00:31:21.100 ⇒ 00:31:24.710 Robert Tseng: Yeah, we only want to nurture the ones that, like, are kind of within our range.
356 00:31:24.710 ⇒ 00:31:26.029 Hannah Wang: Related, yeah.
357 00:31:26.030 ⇒ 00:31:26.600 Robert Tseng: Yeah.
358 00:31:26.860 ⇒ 00:31:36.749 Hannah Wang: I think health is a lot easier for me, because I kind of… it’s just, like, Eden and Ellie Mental Health and, like, I guess, hype. I don’t really know what they do, but I…
359 00:31:37.080 ⇒ 00:31:38.390 Hannah Wang: Yeah, it’s just…
360 00:31:39.440 ⇒ 00:31:48.599 Hannah Wang: Maybe this would all be easier if I, like, worked on all the client stuff, because then I would actually understand what’s going on, but that’s, like, a lot.
361 00:31:48.600 ⇒ 00:31:52.470 Robert Tseng: I don’t even think the people that work on our clients understand what’s going on.
362 00:31:52.470 ⇒ 00:31:53.040 Hannah Wang: Oh.
363 00:31:53.040 ⇒ 00:31:53.690 Robert Tseng: tabs.
364 00:31:53.690 ⇒ 00:31:54.799 Hannah Wang: Okay. Bad.
365 00:31:54.800 ⇒ 00:31:55.190 Robert Tseng: thing.
366 00:31:59.600 ⇒ 00:32:04.910 Hannah Wang: Okay, and I… for all of these ones, like, I don’t know if any of them are, like.
367 00:32:05.030 ⇒ 00:32:09.760 Hannah Wang: what’s the word? PEs? What is it called? VC versus…
368 00:32:09.770 ⇒ 00:32:12.379 Robert Tseng: like, the private… Yeah, private equity.
369 00:32:12.380 ⇒ 00:32:18.440 Hannah Wang: Yeah, private equity, they don’t, like, the portfolio holding whatever things. Yeah.
370 00:32:19.050 ⇒ 00:32:26.500 Hannah Wang: so I don’t know if I’d actually send, like, our white paper to any of these folks, so I don’t know, like.
371 00:32:26.750 ⇒ 00:32:33.080 Hannah Wang: I know you owe me that review, but based on that, like, I feel like you can just push it, like, you don’t have to…
372 00:32:33.470 ⇒ 00:32:35.960 Hannah Wang: Like, it doesn’t have to be on your list of…
373 00:32:36.440 ⇒ 00:32:38.429 Robert Tseng: to-dos, because, like… Yeah.
374 00:32:38.830 ⇒ 00:32:46.140 Hannah Wang: all of these are just, like, healthcare company, like, they’re not PEs, so…
375 00:32:48.330 ⇒ 00:32:55.539 Hannah Wang: Or, yeah, there are all, like, advisors, or consultancies, or just, like, healthcare companies.
376 00:32:59.010 ⇒ 00:33:06.179 Hannah Wang: I don’t know… oh, you called Deborah. Oh, I… oh, but we need to send it to Deborah, so maybe you need to do it, because…
377 00:33:06.980 ⇒ 00:33:08.339 Hannah Wang: Yeah, okay.
378 00:33:08.340 ⇒ 00:33:09.020 Robert Tseng: Yeah.
379 00:33:11.370 ⇒ 00:33:16.460 Robert Tseng: Yeah, that white paper was a little niche, and we built it really for Corral, and…
380 00:33:16.460 ⇒ 00:33:16.990 Hannah Wang: Right.
381 00:33:16.990 ⇒ 00:33:19.310 Robert Tseng: I mean, they delayed their activation, so…
382 00:33:19.970 ⇒ 00:33:25.769 Robert Tseng: It’s not the best one we could write. Like, I feel a lot more comfortable writing one for, like, a CPG company or something.
383 00:33:25.770 ⇒ 00:33:30.120 Hannah Wang: Yeah, okay. Yeah, that’s still on our, sprint roadmap.
384 00:33:30.120 ⇒ 00:33:31.010 Robert Tseng: Yeah.
385 00:33:31.010 ⇒ 00:33:32.690 Hannah Wang: Don’t to Anne, yeah.
386 00:33:34.600 ⇒ 00:33:41.689 Hannah Wang: Okay, yeah, we can just pile that one, then. I feel like the health one is very… yeah, it is very niche,
387 00:33:43.240 ⇒ 00:33:44.140 Hannah Wang: Okay.
388 00:33:44.770 ⇒ 00:33:45.880 Robert Tseng: Got it. Yep.
389 00:33:45.880 ⇒ 00:33:51.399 Hannah Wang: So, yeah, if you want to review that, like, I can send it to her, but if not…
390 00:33:51.450 ⇒ 00:33:56.010 Robert Tseng: I think I dropped it. Until Friday, if I have time, yeah.
391 00:33:56.010 ⇒ 00:34:10.720 Hannah Wang: Okay, but I did draft messages to Deborah and Dave. Miss… missed something from Leoitics, so yeah, feel free to take a look at that later. And then, another question I had was with Rosa, like.
392 00:34:11.239 ⇒ 00:34:13.600 Hannah Wang: Yeah, what… why did we…
393 00:34:14.080 ⇒ 00:34:21.300 Hannah Wang: what was your strategy, or why did you reach out to her? Because she just seems like a… Podcast.
394 00:34:21.600 ⇒ 00:34:25.350 Hannah Wang: lady, and does consulting.
395 00:34:25.350 ⇒ 00:34:27.779 Robert Tseng: I don’t think I reached out… I don’t think she’s a good fit.
396 00:34:28.170 ⇒ 00:34:29.600 Hannah Wang: Oh, okay.
397 00:34:29.600 ⇒ 00:34:30.610 Robert Tseng: Loch. Yeah.
398 00:34:30.790 ⇒ 00:34:35.500 Hannah Wang: Okay, well… Okay.
399 00:34:36.040 ⇒ 00:34:37.280 Hannah Wang: That makes sense.
400 00:34:37.810 ⇒ 00:34:51.219 Robert Tseng: I don’t think I reached out to her. I think we just, like, connected with her on one of the campaigns, and she was responsive, and we were like… but then I was like, I don’t really know. Like, I was willing to meet up with her, but then she rescheduled, and I was like,
401 00:34:51.480 ⇒ 00:34:52.510 Hannah Wang: Right.
402 00:34:52.739 ⇒ 00:34:57.099 Hannah Wang: Oh, I think you, like, sent this during our, like, working sesh?
403 00:34:57.400 ⇒ 00:34:58.180 Robert Tseng: Huh.
404 00:34:58.180 ⇒ 00:35:05.309 Hannah Wang: Yeah… okay. Well, it’s in 2 weeks, so you can just think about it later.
405 00:35:05.620 ⇒ 00:35:10.820 Hannah Wang: Cool. And then, last thing I wanted to talk about was the…
406 00:35:11.790 ⇒ 00:35:25.059 Hannah Wang: Lifecycle Data Sprint one-pager that you were gonna send… were gonna send to, Hope. Let me share my screen for that one. Let me open Figma first.
407 00:35:25.600 ⇒ 00:35:35.240 Hannah Wang: Yeah, so I did… Anna and I did design it, let me pull it up.
408 00:35:41.250 ⇒ 00:35:49.020 Hannah Wang: like, is this… something like this what you were thinking of? I just made it more generalized, based on the ones that we sent. Okay.
409 00:35:49.170 ⇒ 00:35:53.149 Hannah Wang: So, I don’t know if you want to review it, or if it’s fine. Like, I think…
410 00:35:53.820 ⇒ 00:36:02.049 Hannah Wang: I don’t know if Utam gave his feedback, but anyway. If you want to, you can read through it. If not, I’ll just, like, stitch it together and send it to Hope.
411 00:36:02.160 ⇒ 00:36:08.839 Hannah Wang: Because… It’s been a while since she messaged back, and we want to be top of mind, so…
412 00:36:08.840 ⇒ 00:36:13.150 Robert Tseng: I’ll… I’ll just… you can… you can finish and send it to her.
413 00:36:13.150 ⇒ 00:36:13.910 Hannah Wang: Okay, sure.
414 00:36:13.910 ⇒ 00:36:15.380 Robert Tseng: I think it’s fine.
415 00:36:15.380 ⇒ 00:36:20.029 Hannah Wang: Yeah, I used AI, like, I feel like I used the Honey Stinger and John.
416 00:36:20.150 ⇒ 00:36:23.129 Robert Tseng: Great. Ferrari one, so I think it should be okay.
417 00:36:23.310 ⇒ 00:36:35.849 Robert Tseng: Yeah, I mean, the John Ferrari one, I literally just, like, copied… I mean, I still edited it, it probably took me, like, 30 minutes to adapt it to Honey Stinger, but then I sent it to them, and they’re like, looks great. Here we are. So, I think it’s…
418 00:36:36.530 ⇒ 00:36:37.420 Robert Tseng: Yes.
419 00:36:37.610 ⇒ 00:36:43.239 Hannah Wang: What happened with that lead? John Ferrari? Was it… I know he closed Honey Stinger, but…
420 00:36:43.470 ⇒ 00:36:44.260 Robert Tseng: Yeah.
421 00:36:44.530 ⇒ 00:36:48.930 Robert Tseng: John didn’t want to move forward with it now, which was kind of…
422 00:36:49.170 ⇒ 00:36:53.939 Robert Tseng: So I think, yeah, I was, like, thinking PE companies are good, but, like.
423 00:36:54.630 ⇒ 00:36:57.329 Robert Tseng: They’re just always shopping around and, like.
424 00:36:57.330 ⇒ 00:36:57.770 Hannah Wang: Mmm.
425 00:36:57.770 ⇒ 00:37:08.470 Robert Tseng: they’re not… there’s not… they’re not truly feeling the pain and, like, needing to make a decision. They’re just like, oh, I want to know what’s… what are the good options for the companies that I own, or whatever.
426 00:37:08.470 ⇒ 00:37:09.160 Hannah Wang: Right.
427 00:37:09.160 ⇒ 00:37:13.850 Robert Tseng: it’s a little bit too indirect, like, I don’t really understand the PE sales cycle, so…
428 00:37:13.850 ⇒ 00:37:14.350 Hannah Wang: Mmm.
429 00:37:14.350 ⇒ 00:37:31.750 Robert Tseng: it’s a lot easier to sell to somebody like Honey Stinger, who Byron is, like, that’s his team. He’s like, I feel this pain every day, like, this is what I need. So, I don’t know, like, I just… John was like, oh, you know, we can revisit this in the new year, or whatever, and I’m just…
430 00:37:31.850 ⇒ 00:37:34.379 Robert Tseng: I feel like that’s… that’s just how these…
431 00:37:35.810 ⇒ 00:37:40.560 Robert Tseng: like, VC funds, PE firms, they’ll, like, kind of operate on a different, like.
432 00:37:40.560 ⇒ 00:37:41.330 Hannah Wang: One.
433 00:37:42.460 ⇒ 00:37:46.449 Hannah Wang: Even, like, January Ventures, I know you sent that.
434 00:37:46.830 ⇒ 00:37:47.730 Robert Tseng: Yeah.
435 00:37:48.270 ⇒ 00:37:52.200 Hannah Wang: in their portfolio. Such an interesting concept.
436 00:37:52.450 ⇒ 00:37:55.140 Robert Tseng: They look like a good bet, like, all those companies.
437 00:37:55.140 ⇒ 00:37:55.500 Hannah Wang: Good evening.
438 00:37:55.500 ⇒ 00:37:57.730 Robert Tseng: there I want to work with. Yeah.
439 00:37:58.460 ⇒ 00:38:08.540 Robert Tseng: I mean, we’re gonna reach out to all of them individually, and then also to the firm itself. The best is if we work with a company, and they’re like, oh, like.
440 00:38:08.750 ⇒ 00:38:12.360 Robert Tseng: I’m gonna talk about it, you, to our investor.
441 00:38:12.360 ⇒ 00:38:12.800 Hannah Wang: Right.
442 00:38:12.800 ⇒ 00:38:21.130 Robert Tseng: They intro us to their firm, and then their firm kind of introduces us to everyone else in their portfolio, but we have not really…
443 00:38:21.400 ⇒ 00:38:23.420 Robert Tseng: Had success with that yet.
444 00:38:23.420 ⇒ 00:38:24.210 Hannah Wang: Yeah.
445 00:38:24.940 ⇒ 00:38:27.519 Robert Tseng: Just, like, not something we’ve really tried to do, so…
446 00:38:27.520 ⇒ 00:38:28.200 Hannah Wang: Right.
447 00:38:29.350 ⇒ 00:38:37.359 Hannah Wang: Okay. Yeah, I can take a look at these companies and, like, monitor them and stuff like that on LinkedIn and see if I can, like.
448 00:38:38.000 ⇒ 00:38:41.730 Hannah Wang: I don’t know, find a way into them as well.
449 00:38:41.730 ⇒ 00:38:45.979 Robert Tseng: So, like, for those ones, I told… I told Joe he’s gonna…
450 00:38:46.340 ⇒ 00:38:52.109 Robert Tseng: So we just, we just closed Hydra. Hydra was pretty much, like, an inbound lead from…
451 00:38:53.170 ⇒ 00:39:05.530 Robert Tseng: Polytomic. Polytomic. And then they jumped on a call with Utam. Utam called me, and I was, like, charging $15,000. And they’re like, alright, sure. And it’s like, okay, well…
452 00:39:05.530 ⇒ 00:39:06.180 Hannah Wang: Bang.
453 00:39:06.360 ⇒ 00:39:10.599 Robert Tseng: Well, I mean, they were like, well, you need to be able to do this in, like, fast, so…
454 00:39:10.600 ⇒ 00:39:11.040 Hannah Wang: Right.
455 00:39:11.040 ⇒ 00:39:19.329 Robert Tseng: I’m kind of like, well, we should just go after all companies that are… or AI software companies that have raised their Series A recently.
456 00:39:19.330 ⇒ 00:39:20.639 Hannah Wang: And maybe.
457 00:39:20.640 ⇒ 00:39:22.529 Robert Tseng: get, like, a holiday promotion. It’s like.
458 00:39:22.530 ⇒ 00:39:23.060 Hannah Wang: Nope.
459 00:39:23.060 ⇒ 00:39:26.859 Robert Tseng: We’ll… we’ll build your data stack in 3 weeks before the holidays.
460 00:39:27.350 ⇒ 00:39:45.329 Robert Tseng: you know, here’s the… like, I wanted to do something kind of like that. So, I think that’d be a cool offer. We could, like, test it on paid LinkedIn ads, like, we could test, like, a few different things. Yeah. Yeah, so that’s kind of what I was… I’m having Joe put together for next week.
461 00:39:45.580 ⇒ 00:39:49.510 Hannah Wang: Oh, cool. Okay. Great. Someone to help.
462 00:39:49.510 ⇒ 00:39:53.529 Robert Tseng: Yeah, that way, like, I mean, I would like to run an ad, so that’s.
463 00:39:53.530 ⇒ 00:39:53.880 Hannah Wang: Okay.
464 00:39:53.880 ⇒ 00:39:54.319 Robert Tseng: I don’t know.
465 00:39:54.320 ⇒ 00:39:56.500 Hannah Wang: Oh, our first time doing an ad.
466 00:39:56.500 ⇒ 00:39:59.960 Robert Tseng: Yeah, so we’ll need a… we’ll need a visual on all that once.
467 00:39:59.960 ⇒ 00:40:00.510 Hannah Wang: Okay.
468 00:40:00.510 ⇒ 00:40:02.430 Robert Tseng: Gotta have that in place, but… Yeah.
469 00:40:03.120 ⇒ 00:40:13.260 Robert Tseng: I think that’d be cool. It’s like… Yeah. Get your data in order before the end of the year, or whatever. It’s like, when everyone else is slowing down, Brainforge is still kind of whatever, like…
470 00:40:13.260 ⇒ 00:40:14.199 Hannah Wang: On it, yeah.
471 00:40:14.200 ⇒ 00:40:15.899 Robert Tseng: I saw on it, and
472 00:40:16.430 ⇒ 00:40:24.250 Robert Tseng: Yeah, then it’s like, special promotional price, or, you know, we do it… so, you know, something like that. Like, I want to just actually…
473 00:40:24.840 ⇒ 00:40:26.309 Robert Tseng: Try something like that.
474 00:40:26.310 ⇒ 00:40:27.130 Hannah Wang: Mmm.
475 00:40:28.470 ⇒ 00:40:35.660 Hannah Wang: Nice. Joe… he’s Christian? He… Ivy? Like, he’s from… Supposedly. How do you… how do you know him? He just…
476 00:40:35.660 ⇒ 00:40:38.700 Robert Tseng: That’s what he says on his LinkedIn.
477 00:40:38.700 ⇒ 00:40:39.630 Hannah Wang: Oh.
478 00:40:39.840 ⇒ 00:40:40.940 Hannah Wang: Okay.
479 00:40:41.450 ⇒ 00:40:50.419 Robert Tseng: Yeah. That’s cool, okay. He’s a… he’s, he was a USC dropout and went back to school, so I think he’s… he’s still in his senior year at this point.
480 00:40:50.420 ⇒ 00:40:51.360 Hannah Wang: Oh, wow.
481 00:40:51.740 ⇒ 00:40:52.750 Robert Tseng: Yeah. Okay.
482 00:40:53.360 ⇒ 00:40:54.690 Hannah Wang: Air Ops.
483 00:40:56.200 ⇒ 00:41:04.349 Hannah Wang: Okay, cool. Well, hopefully… hopefully he sticks. I don’t… I don’t need… we don’t want more churn.
484 00:41:05.350 ⇒ 00:41:08.100 Hannah Wang: go to market. Yeah, he’s young.
485 00:41:08.100 ⇒ 00:41:11.990 Robert Tseng: So, we’ll see. I don’t really know how he’ll do.
486 00:41:12.120 ⇒ 00:41:15.089 Robert Tseng: If he’s just hustling as, like, all these other young people, so…
487 00:41:15.090 ⇒ 00:41:18.479 Hannah Wang: Yeah, let’s see. Okay.
488 00:41:18.480 ⇒ 00:41:22.040 Robert Tseng: Okay, well, Rick, I think, I…
489 00:41:22.380 ⇒ 00:41:28.140 Robert Tseng: I probably shouldn’t have said that on the recording, but, okay. You can just delete that video will be fine.
490 00:41:28.330 ⇒ 00:41:33.209 Robert Tseng: Joe… Joe is great. Joe is… Joe will be fine. Okay, hopefully that overrides it.
491 00:41:33.760 ⇒ 00:41:39.810 Hannah Wang: You can delete the video, it’s fine. I… I feel like I’ve recorded everything in my brain.
492 00:41:39.810 ⇒ 00:41:41.720 Robert Tseng: Okay. But…
493 00:41:41.720 ⇒ 00:41:43.350 Hannah Wang: Well, I don’t think he’ll…
494 00:41:43.660 ⇒ 00:41:46.029 Robert Tseng: I don’t think he’ll watch it anyway, yeah. Yeah.
495 00:41:46.030 ⇒ 00:41:47.499 Hannah Wang: We love Joe.
496 00:41:47.500 ⇒ 00:41:50.000 Robert Tseng: Yeah, we love Joe. Okay.
497 00:41:50.350 ⇒ 00:41:57.859 Hannah Wang: Okay, this was helpful. I might request doing this maybe not every week, but just, like.
498 00:41:58.220 ⇒ 00:42:01.309 Robert Tseng: Yeah, no, I mean, we should, we should do this more often, yeah.
499 00:42:01.310 ⇒ 00:42:10.500 Hannah Wang: Yeah, it’s helpful for me just to understand, like, everything more, because AI does not help with summarizing stuff well, so…
500 00:42:10.500 ⇒ 00:42:16.080 Robert Tseng: Yeah, you can always grab time with me on my calendar directly when you feel like you need it, yeah.
501 00:42:16.080 ⇒ 00:42:21.669 Hannah Wang: Okay. I know your calendar very well now, as I… Yeah. …I’m doing.
502 00:42:21.840 ⇒ 00:42:31.320 Hannah Wang: your… what is it? Booking meetings and stuff for you. Yeah. Okay, well, I will talk to you later, and…
503 00:42:31.500 ⇒ 00:42:32.350 Hannah Wang: Yeah.
504 00:42:32.720 ⇒ 00:42:39.640 Hannah Wang: accept the coral data meeting and come to the case study thing tomorrow, and tell Henry he doesn’t need to go.
505 00:42:39.910 ⇒ 00:42:40.670 Robert Tseng: Okay.
506 00:42:41.060 ⇒ 00:42:43.540 Hannah Wang: Okay, talk to you later.
507 00:42:43.540 ⇒ 00:42:44.710 Robert Tseng: Hey, bye!
508 00:42:44.710 ⇒ 00:42:45.650 Hannah Wang: Bye.