Meeting Title: GTM Planning + Kickoff Date: 2025-10-27 Meeting participants: Rico Rejoso, Ryan Brosas, Hannah Wang, Holly Condos, Robert Tseng, Uttam Kumaran
WEBVTT
1 00:00:14.830 ⇒ 00:00:16.450 Ryan Brosas: Hey, what’s up?
2 00:00:19.140 ⇒ 00:00:20.070 Rico Rejoso: Hey, Ryan.
3 00:00:21.270 ⇒ 00:00:23.810 Ryan Brosas: What’s up?
4 00:00:24.260 ⇒ 00:00:26.040 Ryan Brosas: Yeah.
5 00:00:26.410 ⇒ 00:00:29.580 Ryan Brosas: Oh… Lord.
6 00:01:44.680 ⇒ 00:01:45.900 Holly Condos: Hey, everyone!
7 00:01:48.930 ⇒ 00:01:50.090 Hannah Wang: Hello.
8 00:01:50.960 ⇒ 00:01:51.949 Holly Condos: How you doing?
9 00:01:52.890 ⇒ 00:01:57.239 Hannah Wang: Good. Are you feeling better? I know last week you had a sore throat.
10 00:01:57.240 ⇒ 00:01:59.240 Holly Condos: Yeah, thanks for asking, yes.
11 00:01:59.240 ⇒ 00:02:01.029 Hannah Wang: Nice. I think it was short-lived.
12 00:02:02.460 ⇒ 00:02:06.550 Hannah Wang: Those are always the most… annoying. Like…
13 00:02:07.030 ⇒ 00:02:11.859 Hannah Wang: It’s like, you’re not too sick to not work, but then also when you try to work.
14 00:02:12.020 ⇒ 00:02:17.549 Holly Condos: It’s hard, so… That’s how I was feeling, Friday, but…
15 00:02:17.860 ⇒ 00:02:22.140 Holly Condos: I’ve tried to kind of chill out over the weekend as far as work.
16 00:02:22.590 ⇒ 00:02:22.970 Hannah Wang: Yeah.
17 00:02:22.970 ⇒ 00:02:25.720 Holly Condos: So, and drink some tea, and I think that helped.
18 00:02:26.160 ⇒ 00:02:26.830 Hannah Wang: Nice.
19 00:02:27.320 ⇒ 00:02:27.840 Holly Condos: Yeah.
20 00:02:31.550 ⇒ 00:02:32.960 Robert Tseng: Hello!
21 00:02:34.220 ⇒ 00:02:35.030 Holly Condos: Hi.
22 00:02:36.940 ⇒ 00:02:39.689 Robert Tseng: Okay. Sorry, I’m a bit late here.
23 00:02:43.550 ⇒ 00:02:47.919 Robert Tseng: Give me just a minute to get organized.
24 00:03:04.250 ⇒ 00:03:05.780 Robert Tseng: Okay…
25 00:03:14.250 ⇒ 00:03:25.319 Robert Tseng: As always, I’m gonna start from here. We’re just gonna kind of go through, our OKRs relevant to this team, and then just kind of see how…
26 00:03:25.490 ⇒ 00:03:29.689 Robert Tseng: Debrief the adjustments we’ve made and see what we gotta do moving forward.
27 00:03:30.350 ⇒ 00:03:35.669 Robert Tseng: Okay, let me drag this around…
28 00:03:35.840 ⇒ 00:03:38.479 Robert Tseng: Is my screen… can you see it clearly?
29 00:03:38.830 ⇒ 00:03:39.530 Ryan Brosas: Yeah.
30 00:03:40.080 ⇒ 00:03:41.120 Holly Condos: Okay, great.
31 00:03:42.350 ⇒ 00:03:43.200 Robert Tseng: Okay.
32 00:03:45.830 ⇒ 00:03:53.970 Robert Tseng: Great. So, alright, let’s just jump right into this. I’m gonna pull up HubSpot. Actually, I haven’t looked at it today.
33 00:03:55.230 ⇒ 00:03:58.649 Robert Tseng: Let’s just see how we’re tracking here.
34 00:04:02.160 ⇒ 00:04:04.979 Robert Tseng: I guess while I’m pulling it up.
35 00:04:05.380 ⇒ 00:04:12.000 Robert Tseng: Yeah, Ryan, I guess you saw a couple messages from Utom, they were just, like, feels like we’re not ha- not everything…
36 00:04:12.050 ⇒ 00:04:29.550 Robert Tseng: there’s still a couple leaks to the automations, where either things are not getting into Slack, or they’re not really showing up in HubSpot. I feel like, for the most part, whenever we’ve, like, kind of tagged you in something, it gets added in. But, yeah, are there any other leaks that we should be aware of here?
37 00:04:30.340 ⇒ 00:04:42.570 Ryan Brosas: Yeah, so, I haven’t really touched on the cal.com integration, so that’s one that I haven’t really, like, connected on our automation.
38 00:04:42.600 ⇒ 00:04:55.180 Ryan Brosas: But, yeah, I already sent the, like, a documentation how we could move it to, like, default, since we are moving all our booking to default.
39 00:04:55.300 ⇒ 00:05:04.459 Ryan Brosas: then I can, integrate, like, HubSpot there, and also, like, automation for, you know, Slack notification.
40 00:05:05.390 ⇒ 00:05:06.050 Robert Tseng: Okay.
41 00:05:06.760 ⇒ 00:05:08.280 Robert Tseng: Good to know.
42 00:05:08.820 ⇒ 00:05:27.310 Robert Tseng: Yeah, so I kind of have my HubSpot pulled up here, and I have all the deals. UTOM’s not on this call yet, so I’m not gonna go through them one by one, but I’m just kind of doing a quick scan. I know some of these we have calls for. John Booze we’re talking to tomorrow. I think some of these are still kind of in progress.
43 00:05:27.670 ⇒ 00:05:33.690 Robert Tseng: Yeah, I guess… Kind of tell me a bit, like…
44 00:05:33.900 ⇒ 00:05:50.089 Robert Tseng: I mean, a lot of these are from September, so it feels like there’s only, like, 3 that are from October in here. Are we missing anything else that’s not in the in-progress deals? Because I guess, yeah, like, I think that’s… that’s what I’m saying right now. October 13th and October 25th.
45 00:05:50.220 ⇒ 00:05:51.290 Robert Tseng: We, we, yeah.
46 00:05:51.290 ⇒ 00:05:53.370 Hannah Wang: I don’t think you’re sharing HubSpot.
47 00:05:54.210 ⇒ 00:06:00.339 Hannah Wang: I don’t know what screen. We’re just seeing, the OKRs.
48 00:06:00.970 ⇒ 00:06:01.690 Robert Tseng: Okay.
49 00:06:04.370 ⇒ 00:06:05.640 Hannah Wang: Okay, yes.
50 00:06:06.290 ⇒ 00:06:07.010 Robert Tseng: Yeah.
51 00:06:11.870 ⇒ 00:06:15.229 Robert Tseng: Okay, sorry, I’m just gonna keep it the way it was before.
52 00:06:16.580 ⇒ 00:06:21.609 Robert Tseng: Yeah, so I’m looking at these deal names, we have 3 that are rel… that are kind of…
53 00:06:21.850 ⇒ 00:06:25.089 Robert Tseng: from October, the rest are kind of just…
54 00:06:25.500 ⇒ 00:06:30.499 Robert Tseng: from before. Certain things we can close out. I mean, this…
55 00:06:31.360 ⇒ 00:06:37.370 Robert Tseng: one… I think this is, like, a… is there a circleback version of this? What is this?
56 00:06:38.420 ⇒ 00:06:41.600 Robert Tseng: Okay, yeah, I mean, this is like…
57 00:06:43.470 ⇒ 00:06:52.369 Robert Tseng: I mean, as long as… I don’t want to touch this if we lose track of things. Like, I… that’s kind of what I… like, I don’t… I just… I just moved.
58 00:06:52.370 ⇒ 00:07:03.749 Robert Tseng: Yeti, because Yeti, we already set a circle back date. It’s not really in progress, there’s no movement on this lead. So, it just… it just disappeared off of this… this list, but
59 00:07:04.380 ⇒ 00:07:10.169 Robert Tseng: Yeah, I guess… Is there a… do we have a scheduled message going out already?
60 00:07:11.040 ⇒ 00:07:20.120 Ryan Brosas: Yeah, I think, for Yeti and the other one, Phone Pro, is scheduled to nudge on 30th.
61 00:07:21.170 ⇒ 00:07:28.119 Robert Tseng: Okay, well, I’m gonna move them out, because they’re not really in progress. These are, like, I guess… I guess they could be a nudge.
62 00:07:31.240 ⇒ 00:07:35.390 Robert Tseng: Sure. Okay, well, I just… I just moved.
63 00:07:37.020 ⇒ 00:07:37.850 Robert Tseng: How do I…
64 00:07:38.700 ⇒ 00:07:56.579 Robert Tseng: I just moved, Yeti, so I guess you’ll have to bring it back if you rely on this or something. Cta Tech, yeah, proposals review, I already looked at the proposal… we’re, like, kind of in contract signing at this point, so… This one, total contract value is $32K.
65 00:07:57.770 ⇒ 00:08:05.079 Robert Tseng: So, this… I believe we are already signing or signed, so this is… this should be, like, pretty much done.
66 00:08:05.430 ⇒ 00:08:06.690 Robert Tseng: At this point.
67 00:08:06.790 ⇒ 00:08:09.379 Robert Tseng: I’m gonna actually move it to close one.
68 00:08:10.620 ⇒ 00:08:17.490 Robert Tseng: Hey, Marvin, I don’t know where it is, Honey Stinger, yeah, we’re in proposal review, we have a verbal commit at…
69 00:08:17.830 ⇒ 00:08:19.980 Robert Tseng: 10K through the rest of the year.
70 00:08:20.160 ⇒ 00:08:26.330 Robert Tseng: I guess that’s 20K a month. 10K a month is 20K, so… I’ll update that.
71 00:08:26.480 ⇒ 00:08:33.000 Robert Tseng: LMNT… This kind of escapes me. What’s LMNT? Does anyone know what this is?
72 00:08:33.000 ⇒ 00:08:46.679 Ryan Brosas: It’s the dream. I think, Otam, like, hopped on a call yesterday, and then we sent a follow-up with the LMNT representative.
73 00:08:48.930 ⇒ 00:08:50.990 Hannah Wang: I met them last Thursday, and…
74 00:08:51.380 ⇒ 00:08:53.230 Hannah Wang: We sent a follow-up already.
75 00:08:53.670 ⇒ 00:09:01.240 Robert Tseng: Okay, so I’m assuming they’ve been qualified, so they actually need to continue to be nudged, is that what it is?
76 00:09:03.110 ⇒ 00:09:11.480 Hannah Wang: Yeah, I watched their meeting, and she said she’s scoping out a couple different other, like, consulted services or something, but she’ll, like.
77 00:09:11.740 ⇒ 00:09:14.699 Hannah Wang: Yeah, we sent a follow-up, and I think we just need to nudge her.
78 00:09:15.320 ⇒ 00:09:28.939 Robert Tseng: Okay, great. So, I mean, I’m updating these deal stages now, because these should be updated before we get on this call, but, because they’re not, I’m gonna just update them here. John Booze, we’re talking to tomorrow, so there’s that.
79 00:09:28.990 ⇒ 00:09:36.580 Robert Tseng: Well found? I don’t really know… did we actually sign this? Like, I haven’t heard anything about this. What’s well-found?
80 00:09:36.970 ⇒ 00:09:55.830 Ryan Brosas: So, Wellfound is already on… well, we, he already approved our, like, proposal on Contra, but he is kind of, like, dragging his foot, and just, like, he wants to add additional stuff, and I’m not really sure, so…
81 00:09:58.100 ⇒ 00:09:58.930 Robert Tseng: Okay.
82 00:09:59.200 ⇒ 00:10:05.330 Robert Tseng: I’ll… and the budget is correct? This is a what? What’s the budget here?
83 00:10:06.510 ⇒ 00:10:07.970 Robert Tseng: 15? Okay.
84 00:10:08.140 ⇒ 00:10:15.810 Robert Tseng: Well, I mean, if they’re dragging their feet on a 15001, they’re not gonna sign, that’s my opinion, but we’ll leave it there for another week, I don’t really mind.
85 00:10:16.110 ⇒ 00:10:19.679 Robert Tseng: Qualification call, we already kind of moved through this.
86 00:10:19.880 ⇒ 00:10:33.879 Robert Tseng: we’re kind of in this proposal. This is a bit… I don’t really know if this really fits well. I think we’re kind of in proposal creation mode at this point, so I’m just going to put that there. This is more to be tracked between Holly, me, and Utom, so I’m gonna kind of comment on it now.
87 00:10:34.190 ⇒ 00:10:40.929 Robert Tseng: Arrow Accounting… We sent them a proposal, what’s the status here?
88 00:10:41.330 ⇒ 00:10:46.099 Ryan Brosas: Same with, well found,
89 00:10:46.290 ⇒ 00:10:50.160 Ryan Brosas: They don’t really responded on our follow-up.
90 00:10:50.710 ⇒ 00:10:51.470 Ryan Brosas: So…
91 00:10:51.470 ⇒ 00:11:03.020 Robert Tseng: Okay, so for these ones that are, like, under 5K, we should nudge, like, 3… we should nudge every day for a week, and if not, we close them out. Like, I don’t really want to drag out, like, a 1K, like, deal.
92 00:11:03.310 ⇒ 00:11:03.790 Ryan Brosas: Okay.
93 00:11:04.330 ⇒ 00:11:08.869 Robert Tseng: Yeah, okay, so we’re gonna just kinda move this to nudge.
94 00:11:11.000 ⇒ 00:11:18.590 Robert Tseng: Yeah, and then EY… I don’t really think EY… I’m just gonna put this back into… Circle back.
95 00:11:22.060 ⇒ 00:11:30.840 Robert Tseng: Okay, so our true amount of net new Leads is actually…
96 00:11:30.980 ⇒ 00:11:38.900 Robert Tseng: this is not true, it’s not 1. It’s actually, like, 1, right? So, kind of the point is…
97 00:11:42.140 ⇒ 00:11:50.880 Robert Tseng: Yeah, I would say for net view, I mean, like, realistically, this is, what, like a 10K thing?
98 00:11:51.710 ⇒ 00:12:02.459 Robert Tseng: I don’t know what happened to get changed, might have moved on from there, but yeah. Okay, so we still have a top line, kind of, like, we still have a top line problem, where we’re not bringing in new leads.
99 00:12:02.630 ⇒ 00:12:07.900 Robert Tseng: Okay. Anyway, just needed that to be clear. Like, I…
100 00:12:09.120 ⇒ 00:12:11.780 Robert Tseng: wanted that to be there.
101 00:12:13.010 ⇒ 00:12:24.889 Robert Tseng: On the partner-led stuff here, yeah, we have… I mean, I don’t really see any partner leads generated here. I guess we have a couple that are in flight.
102 00:12:24.890 ⇒ 00:12:33.669 Robert Tseng: I will say that these are, like… McGall is not really supporting us on the John Blues one, they just gotta send it to us. We are working more closely with Port Authority.
103 00:12:33.780 ⇒ 00:12:38.409 Robert Tseng: So, there is something about this KPI here where,
104 00:12:39.020 ⇒ 00:12:46.360 Robert Tseng: Well, I guess this is more emphasizing campaigns or events that we have that are generating leads, so…
105 00:12:46.460 ⇒ 00:12:50.449 Robert Tseng: I guess we might cover this later in the campaign, but,
106 00:12:50.780 ⇒ 00:12:53.330 Robert Tseng: Is there anything to say here, Tana?
107 00:12:58.380 ⇒ 00:12:58.860 Hannah Wang: Or is this still…
108 00:12:58.860 ⇒ 00:13:00.479 Robert Tseng: Kind of just… The same.
109 00:13:01.250 ⇒ 00:13:05.769 Hannah Wang: Oh, well, we talked to Contextual last week, and we’re gonna try to get, like, a campaign.
110 00:13:05.890 ⇒ 00:13:11.550 Hannah Wang: co-hosts, like, a webinar or something with them. I think we’re talking to one of their
111 00:13:11.710 ⇒ 00:13:15.420 Hannah Wang: I forgot who, but we’re talking to someone, this week.
112 00:13:15.640 ⇒ 00:13:22.230 Hannah Wang: And then we’re also talking to Telisma tomorrow about signing our NDA, I think.
113 00:13:22.350 ⇒ 00:13:25.349 Hannah Wang: That’s been going on for a couple months, but…
114 00:13:25.980 ⇒ 00:13:31.680 Hannah Wang: Yeah, and then we have the coral data thing coming up, in November.
115 00:13:31.920 ⇒ 00:13:37.979 Hannah Wang: And… I think. On the Amtraham, I need to follow up with them.
116 00:13:38.180 ⇒ 00:13:44.410 Hannah Wang: But they’re interested in our workshop. So… Yeah.
117 00:13:44.550 ⇒ 00:13:45.330 Robert Tseng: Okay.
118 00:13:47.090 ⇒ 00:13:51.390 Robert Tseng: Okay, so I’m not really gonna assign a value to this. I think this is still kind of…
119 00:13:51.560 ⇒ 00:13:58.710 Robert Tseng: Well, we do seem to have a few things kind of coming up in the next few weeks, but there’s not really much to measure on the pipeline there.
120 00:13:58.930 ⇒ 00:14:05.789 Robert Tseng: We… you guys have a partnership call on Wednesdays, and is that… is that still going on? I don’t really join those.
121 00:14:06.840 ⇒ 00:14:07.410 Holly Condos: Yes.
122 00:14:08.070 ⇒ 00:14:08.730 Robert Tseng: Okay.
123 00:14:09.870 ⇒ 00:14:11.810 Holly Condos: Groups actually started it.
124 00:14:12.640 ⇒ 00:14:14.379 Holly Condos: At least since I’ve been here.
125 00:14:14.990 ⇒ 00:14:15.660 Robert Tseng: Okay.
126 00:14:15.660 ⇒ 00:14:16.220 Hannah Wang: Yeah.
127 00:14:18.520 ⇒ 00:14:32.960 Robert Tseng: Alright, these are still questions that I need to think through with UTAM. I know we’ve also kind of, been trying to, like, reactivate, like, vendors with part vendor partners, like Amplifier, HEX, etc.
128 00:14:33.240 ⇒ 00:14:34.990 Robert Tseng: Alright.
129 00:14:34.990 ⇒ 00:14:41.740 Holly Condos: Yeah, and we actually, Robert, talked about a couple, I think…
130 00:14:42.260 ⇒ 00:14:45.169 Holly Condos: Hannah, do you remember who… let me look in the Slack.
131 00:14:45.720 ⇒ 00:14:47.620 Holly Condos: Mixed panel, maybe?
132 00:14:48.550 ⇒ 00:15:02.790 Robert Tseng: Yeah, okay. I… yeah, I mean, I pulled stuff for UTOM, I don’t know exactly what he did with it, but I… that sounds familiar. Amplitude, MixedPanel, I remember sending him lists of past clients that we work with there. MixedPanel, we still are a top 10…
133 00:15:02.920 ⇒ 00:15:04.459 Robert Tseng: And Omni? Okay.
134 00:15:05.420 ⇒ 00:15:09.749 Robert Tseng: Yeah, and then Hex is… Hex posted about us, like, last week or two weeks ago.
135 00:15:09.750 ⇒ 00:15:10.480 Holly Condos: Right.
136 00:15:10.660 ⇒ 00:15:11.380 Robert Tseng: Oh.
137 00:15:12.140 ⇒ 00:15:18.770 Robert Tseng: Yeah, okay, so… Well, well, okay, whatever, we’ll talk about that on Wednesday. I’ll probably join that call.
138 00:15:18.880 ⇒ 00:15:33.070 Robert Tseng: Okay. Okay, we’ll move on to inbound leads, events, referrals, content downloads. So, Hannah, we’re at this point now where we’re sending… are we sending the white paper to folks now from the health conference?
139 00:15:33.390 ⇒ 00:15:36.949 Hannah Wang: No, I still need to go through your comments and revise it.
140 00:15:37.430 ⇒ 00:15:39.530 Robert Tseng: Okay, so we haven’t finished that.
141 00:15:39.530 ⇒ 00:15:40.180 Hannah Wang: No, bye.
142 00:15:40.180 ⇒ 00:15:40.780 Robert Tseng: I’m gonna send…
143 00:15:40.780 ⇒ 00:15:43.800 Hannah Wang: And the first touch, messages.
144 00:15:44.140 ⇒ 00:15:45.379 Hannah Wang: Today or tomorrow?
145 00:15:45.880 ⇒ 00:15:48.689 Hannah Wang: Okay. Sorry I missed you sending their… sending our webinar.
146 00:15:48.690 ⇒ 00:15:55.220 Robert Tseng: Yeah, I’ve seen some of those messages come through. I think the middle of funnel sequence has been good, like, we’ve been getting replies. I can’t even keep up with them.
147 00:15:55.350 ⇒ 00:16:00.369 Robert Tseng: But yeah, so we have the, white paper…
148 00:16:00.660 ⇒ 00:16:03.999 Robert Tseng: the HIPAA white paper pushed out.
149 00:16:04.720 ⇒ 00:16:06.600 Robert Tseng: Like, this week?
150 00:16:07.420 ⇒ 00:16:08.820 Hannah Wang: Hopefully, yes, yeah.
151 00:16:08.820 ⇒ 00:16:13.120 Robert Tseng: Out this week. Okay, to help leads, great.
152 00:16:14.540 ⇒ 00:16:19.920 Robert Tseng: Okay, and I think… You know, my question then is…
153 00:16:20.050 ⇒ 00:16:26.120 Robert Tseng: Yeah, what are other, like, assets that we’re putting out on the marketing design side that are…
154 00:16:26.340 ⇒ 00:16:29.769 Robert Tseng: Kind of tied to lead, like, inbound lead capture.
155 00:16:30.900 ⇒ 00:16:32.990 Robert Tseng: Is this the only one that we have going on?
156 00:16:33.880 ⇒ 00:16:35.510 Hannah Wang: Not a SME playbooks.
157 00:16:36.130 ⇒ 00:16:38.650 Robert Tseng: Okay. Those are ready to review, but…
158 00:16:38.650 ⇒ 00:16:42.229 Hannah Wang: We’d probably want to activate that with a partner, so it’s, like, I guess different.
159 00:16:42.400 ⇒ 00:16:43.110 Hannah Wang: But…
160 00:16:49.540 ⇒ 00:16:52.930 Robert Tseng: Okay, this is, like, what was auto and real estate or something?
161 00:16:54.300 ⇒ 00:16:57.240 Hannah Wang: No, like, Mother Duck, Grill, Omni…
162 00:16:57.240 ⇒ 00:16:59.819 Uttam Kumaran: Yeah, we also have the auto and real estate.
163 00:17:00.090 ⇒ 00:17:01.359 Uttam Kumaran: Yeah. As well.
164 00:17:01.760 ⇒ 00:17:04.989 Uttam Kumaran: So, what we talked about was… okay, yeah.
165 00:17:05.760 ⇒ 00:17:11.990 Uttam Kumaran: Yeah, well, yeah, I guess those were, like, subject matter experts from from Contextual.
166 00:17:12.490 ⇒ 00:17:12.890 Robert Tseng: Yeah.
167 00:17:12.890 ⇒ 00:17:17.160 Uttam Kumaran: Yeah, yeah, so I guess if we separate that out, then yeah, those two are just sitting.
168 00:17:17.700 ⇒ 00:17:18.390 Robert Tseng: Sure.
169 00:17:24.290 ⇒ 00:17:35.059 Robert Tseng: Okay, cool. Then, yeah, let me help kind of push that. I mean, I feel like, you know, that’s… that’s, like, the end of Jake’s work, so, like, I want to activate. I want to… we should actually just test that, so,
170 00:17:35.630 ⇒ 00:17:36.310 Robert Tseng: maybe I’ll…
171 00:17:36.310 ⇒ 00:17:36.650 Uttam Kumaran: Yes.
172 00:17:36.650 ⇒ 00:17:41.220 Robert Tseng: kind of… I’ll help kind of fish this for today, that’s… or this week, that’s good to know.
173 00:17:41.220 ⇒ 00:17:47.159 Uttam Kumaran: One thing I wanted to see, Robert, on, automation side, is I wanted to build a little, like.
174 00:17:47.600 ⇒ 00:17:50.119 Uttam Kumaran: sales nav to clay thing.
175 00:17:52.010 ⇒ 00:17:52.530 Uttam Kumaran: So that…
176 00:17:52.530 ⇒ 00:17:52.960 Robert Tseng: Okay.
177 00:17:52.960 ⇒ 00:17:57.089 Uttam Kumaran: add people into Sales Nav, and then it automatically goes somewhere where we can, like.
178 00:17:58.470 ⇒ 00:18:04.180 Uttam Kumaran: help generate the copy, or something like that. That way, the team can… can, like.
179 00:18:04.440 ⇒ 00:18:07.989 Uttam Kumaran: isolate and act, versus, like, going into Sales Nav, and then…
180 00:18:08.340 ⇒ 00:18:10.510 Uttam Kumaran: Sort of going from there, I don’t know, what do you think?
181 00:18:12.060 ⇒ 00:18:13.680 Robert Tseng: Yeah, I mean, I just…
182 00:18:14.530 ⇒ 00:18:23.029 Robert Tseng: I’m active in Sales Nav, and I’m adding lists there all the time. I know the team doesn’t work out of Sales Nav, so there’s always been a disconnect where
183 00:18:23.310 ⇒ 00:18:27.160 Robert Tseng: all I do is, like, send, like, hey, here’s a list of manual
184 00:18:27.660 ⇒ 00:18:30.540 Robert Tseng: people, or manual lists that I have in Sales Nav, like.
185 00:18:30.680 ⇒ 00:18:33.109 Robert Tseng: telling Ryan to try to go and find people more.
186 00:18:33.110 ⇒ 00:18:33.580 Uttam Kumaran: Yeah.
187 00:18:33.580 ⇒ 00:18:36.859 Robert Tseng: And that handoff has always been kind of clunky, so…
188 00:18:38.810 ⇒ 00:18:39.410 Uttam Kumaran: Okay.
189 00:18:40.560 ⇒ 00:18:49.709 Uttam Kumaran: For both of those use cases, for auto and insurance, like, we can also mention the people that we did it with, in case it’s.
190 00:18:49.710 ⇒ 00:18:50.420 Robert Tseng: Okay.
191 00:18:50.420 ⇒ 00:18:58.459 Uttam Kumaran: It’s like, we’re working with Ian from T-Civ on commercial insurance, we’re working with Troy, who’s, like, pretty fam- pretty big in the…
192 00:18:58.940 ⇒ 00:19:03.280 Uttam Kumaran: Like, in the auto group world, so you can totally name-drop those folks.
193 00:19:03.960 ⇒ 00:19:04.660 Robert Tseng: Okay.
194 00:19:09.020 ⇒ 00:19:17.640 Robert Tseng: All right, and then as far as, like, kind of lead attribution goes, have we… yeah, we put lead sources as a HubSpot property now, so that’s that.
195 00:19:18.070 ⇒ 00:19:27.749 Robert Tseng: Yeah, I would say… I mean, I don’t know what our balance is this week. I think this is something I would want to be pulling, and I think this is something, I want to assign…
196 00:19:28.510 ⇒ 00:19:46.279 Robert Tseng: So, you know, Ryan, we just went through that exercise of going through HubSpot. I was updating all the deal stages. All of these things need to be updated before this call, but as, like, kind of a way to present it to us, like, I want to know this split as well. So I want to know net new leads. Well, I mean, I’ll look at… we can go to this tab, or wherever you’re looking at it.
197 00:19:46.280 ⇒ 00:19:58.559 Robert Tseng: I want to know a number of net new leads, and I want to know of the leads that are in flight, like, in progress, like, what the split is. Like, is it actually… does it actually fit these different buckets, so that we can actually make some adjustments?
198 00:19:59.610 ⇒ 00:20:10.480 Ryan Brosas: Yeah, it’s on the… yeah, the… yeah, we have OKRs measured right, right now. It’s on dashboard, you can see it on…
199 00:20:10.480 ⇒ 00:20:14.189 Uttam Kumaran: Yeah, can we just do a brief review? Yeah, let’s just look through and then…
200 00:20:14.630 ⇒ 00:20:16.610 Uttam Kumaran: I’m pretty sure we worked on this last week.
201 00:20:18.580 ⇒ 00:20:21.020 Robert Tseng: Okay, which… which one? Is it this one?
202 00:20:21.200 ⇒ 00:20:22.289 Ryan Brosas: That, that’s one.
203 00:20:22.800 ⇒ 00:20:24.740 Robert Tseng: Okay.
204 00:20:25.390 ⇒ 00:20:30.750 Ryan Brosas: Yeah, it’s… on the,
205 00:20:31.710 ⇒ 00:20:42.189 Ryan Brosas: There, SQL journey to close one, so that is, I tried to do it, like, SQL, like, sales qualified lead to close one, but it’s not…
206 00:20:42.470 ⇒ 00:20:51.939 Ryan Brosas: providing the correct information, so I did is just SQL, SQL to journey to close one, so it’s…
207 00:20:52.300 ⇒ 00:21:01.719 Ryan Brosas: kind of, like, four per stages. What do you call this? The conversion is per stages, so you can see all those there.
208 00:21:02.420 ⇒ 00:21:05.899 Robert Tseng: I’m not looking at the stages, I’m talking about.
209 00:21:07.360 ⇒ 00:21:11.780 Uttam Kumaran: Yeah, 40%. So, like, let’s take the 40% one, right?
210 00:21:11.970 ⇒ 00:21:13.920 Uttam Kumaran: What is the number right now?
211 00:21:15.820 ⇒ 00:21:18.310 Ryan Brosas: Right now…
212 00:21:20.880 ⇒ 00:21:23.040 Uttam Kumaran: Like, where can we see that on this dash?
213 00:21:29.160 ⇒ 00:21:35.930 Ryan Brosas: Yeah, so for the clothes, oh boy, it’s not… Providing for correct answers.
214 00:21:35.930 ⇒ 00:21:40.969 Robert Tseng: This is by lead stage, this is not by lead source. So, are we talking about the same thing?
215 00:21:40.970 ⇒ 00:21:47.740 Ryan Brosas: Lead sources. So, lead sources, you can see it on there, on, on your… cursor.
216 00:21:47.740 ⇒ 00:21:50.379 Uttam Kumaran: Can you… yeah, let’s just make this way bigger.
217 00:21:50.890 ⇒ 00:21:58.299 Ryan Brosas: So, for that, we have, like, event conference, marketplace leads, and, co-opening.
218 00:21:58.960 ⇒ 00:22:00.359 Uttam Kumaran: This can’t be right.
219 00:22:02.210 ⇒ 00:22:04.549 Uttam Kumaran: This is this month? There’s no way.
220 00:22:04.740 ⇒ 00:22:14.480 Ryan Brosas: Yeah, because we kind of, like, moved all our leads this month, so that’s kind of where we are right now.
221 00:22:14.710 ⇒ 00:22:20.150 Uttam Kumaran: Okay, I don’t think this is right at all. Alright, I think we move on, because these are… these all don’t look correct.
222 00:22:20.530 ⇒ 00:22:27.250 Uttam Kumaran: So, I think this is something that, like, Hannah, you and Holly, I think, could provide feedback on this to…
223 00:22:27.420 ⇒ 00:22:35.799 Uttam Kumaran: for example, if I… if I was to just do, like, a… if we’re looking at this, right? So, we’re trying to answer a simple question. What percent of our leads
224 00:22:35.980 ⇒ 00:22:38.629 Uttam Kumaran: This month are from events.
225 00:22:39.100 ⇒ 00:22:43.289 Uttam Kumaran: This not only doesn’t show percents, it’s just showing, like, raw numbers.
226 00:22:43.560 ⇒ 00:22:47.570 Uttam Kumaran: There’s a 18 with no value, so, like, everything should have a source.
227 00:22:49.360 ⇒ 00:22:55.999 Uttam Kumaran: And of course, it could just probably be, like, a stacked bar over time. So, I think probably one… one ask for this week
228 00:22:56.240 ⇒ 00:22:59.839 Uttam Kumaran: maybe Hannah and Holly, if you guys can give feedback.
229 00:23:00.050 ⇒ 00:23:04.110 Uttam Kumaran: to Ryan on, like, or you guys could go directly in here and make the changes.
230 00:23:04.270 ⇒ 00:23:07.789 Uttam Kumaran: or work with RICO to make the changes, that would be great.
231 00:23:08.740 ⇒ 00:23:09.350 Holly Condos: Sure.
232 00:23:09.350 ⇒ 00:23:10.450 Uttam Kumaran: Yeah, okay.
233 00:23:12.020 ⇒ 00:23:15.750 Holly Condos: Hannah, maybe you and I do it together, at least this time?
234 00:23:16.560 ⇒ 00:23:18.710 Hannah Wang: Okay Yeah.
235 00:23:18.710 ⇒ 00:23:23.349 Uttam Kumaran: Yeah, that way you also have… you guys have a clear view into, like, how we’re storing things in HubSpot.
236 00:23:23.350 ⇒ 00:23:24.509 Holly Condos: Yeah.
237 00:23:24.510 ⇒ 00:23:25.539 Uttam Kumaran: I mean, yeah.
238 00:23:26.150 ⇒ 00:23:28.150 Uttam Kumaran: We have all the data now in there.
239 00:23:28.820 ⇒ 00:23:33.320 Holly Condos: Rico, I’m not sure I have, access to HubSpot.
240 00:23:33.420 ⇒ 00:23:35.750 Holly Condos: Can you check on that for me, please?
241 00:23:35.750 ⇒ 00:23:39.159 Rico Rejoso: Sure, I’ll send you an update and the invite.
242 00:23:39.950 ⇒ 00:23:40.800 Holly Condos: Thank you.
243 00:23:42.610 ⇒ 00:23:45.139 Robert Tseng: Okay, great. So, I think,
244 00:23:51.280 ⇒ 00:23:56.469 Robert Tseng: Hannah, Holly to review sales team dash.
245 00:23:57.530 ⇒ 00:24:03.940 Robert Tseng: Make sure we can… Ryan, to read out on…
246 00:24:04.710 ⇒ 00:24:12.720 Robert Tseng: new number of net new leads in progress. I don’t really care, just… oh, I mean, okay, sure, just net new leads, and then…
247 00:24:13.580 ⇒ 00:24:15.960 Robert Tseng: And by lead source.
248 00:24:18.340 ⇒ 00:24:20.200 Robert Tseng: Per week. Okay.
249 00:24:20.450 ⇒ 00:24:21.510 Robert Tseng: That’s that.
250 00:24:21.690 ⇒ 00:24:29.629 Robert Tseng: Alright, and then, I guess this is kind of a similar thing where… yeah, I guess…
251 00:24:30.540 ⇒ 00:24:42.080 Robert Tseng: I have not been doing the one personal post weekly, I just couldn’t last week. So, I did queue up some stuff for this… this past weekend, so I will… I will hit this, this week and next week.
252 00:24:42.330 ⇒ 00:24:47.640 Robert Tseng: And then, yeah, I guess, what have we done about…
253 00:24:48.000 ⇒ 00:24:54.979 Robert Tseng: kind of the content related to events we’re activating around, like, I… I see that we have middle-of-funnel sequences, but
254 00:24:55.300 ⇒ 00:25:00.259 Robert Tseng: I mean, we… we have other events coming up, we… I mean, are we…
255 00:25:00.590 ⇒ 00:25:03.539 Robert Tseng: Do we have any content queued up for these things yet?
256 00:25:07.990 ⇒ 00:25:12.279 Uttam Kumaran: I know Hannah has one going for an event here in Austin.
257 00:25:14.380 ⇒ 00:25:14.760 Robert Tseng: Okay.
258 00:25:14.760 ⇒ 00:25:17.220 Hannah Wang: Well, that’s not content, that’s just…
259 00:25:17.220 ⇒ 00:25:17.800 Uttam Kumaran: Oh.
260 00:25:17.800 ⇒ 00:25:18.300 Hannah Wang: Well, are you?
261 00:25:18.300 ⇒ 00:25:19.029 Uttam Kumaran: I don’t think we’re doing.
262 00:25:19.640 ⇒ 00:25:20.370 Hannah Wang: No.
263 00:25:20.370 ⇒ 00:25:25.790 Uttam Kumaran: Well, I don’t think we have anything on my side for… the content.
264 00:25:26.650 ⇒ 00:25:38.400 Robert Tseng: Okay, so I guess, like, what I was trying to say last week was we need to have some evergreen content that’s not necessarily evergreen as, like, it’ll always be on the website, but just campaigns that we’re… just content that we’re always pushing out.
265 00:25:38.630 ⇒ 00:25:51.059 Robert Tseng: Ryan, now that you’re not just doing personal posts for Utam and I, the ask was one, like, right, partnership posts? I know that we had something with Hex that was, like, in drafts. I don’t know if I actually went out and react to it.
266 00:25:51.210 ⇒ 00:25:52.839 Robert Tseng: So, I mean, they’re all.
267 00:25:52.840 ⇒ 00:25:53.320 Hannah Wang: It went up.
268 00:25:53.320 ⇒ 00:26:10.610 Robert Tseng: opportunities to post, okay, post about partners, so I think that one’s probably pretty easy to keep up. And then we have one around the events that we’re activating. So, it doesn’t seem like we did anything about this. Is there… am I missing something here?
269 00:26:12.670 ⇒ 00:26:20.460 Hannah Wang: No. I mean, all the events, I mean, you… I feel like, recently, The events that we…
270 00:26:21.460 ⇒ 00:26:25.940 Hannah Wang: We don’t go to the events, we just hit up the people that go to it, so I don’t…
271 00:26:26.050 ⇒ 00:26:33.130 Hannah Wang: Like, what type of content would be helpful for those events that we don’t go to, but we’re trying to, like, target people for?
272 00:26:36.400 ⇒ 00:26:46.370 Robert Tseng: I mean, that’s… you… you can… you tell me, like, right? I mean, if I’m gonna write the sequence, then I’ll… then I would just… I would just do it myself, right?
273 00:26:48.250 ⇒ 00:26:52.259 Hannah Wang: Okay, yeah, I haven’t thought about that, so…
274 00:26:52.740 ⇒ 00:26:54.859 Hannah Wang: I guess Ryan and I can think about that.
275 00:26:55.350 ⇒ 00:26:56.020 Robert Tseng: Okay.
276 00:26:59.110 ⇒ 00:27:05.880 Robert Tseng: I mean, I feel like this is… this is just, like, the stakes are very low here. It’s just, like, pushing stuff regularly out, right?
277 00:27:08.280 ⇒ 00:27:08.870 Robert Tseng: Okay.
278 00:27:09.150 ⇒ 00:27:15.559 Robert Tseng: And then here, I feel like this is better. Like, I…
279 00:27:15.860 ⇒ 00:27:24.620 Robert Tseng: like, the Slack notifications, are helpful for when I’m… when you need me to kind of step in and finish scheduling or respond to someone.
280 00:27:24.930 ⇒ 00:27:31.339 Robert Tseng: So I think this has been much better, so I’m… I’m liking where we’re… where we’re at here.
281 00:27:33.620 ⇒ 00:27:38.870 Robert Tseng: Yeah, so I feel like, for the most… for the most part, we’re kind of caught up here, so I don’t really have a next step.
282 00:27:42.370 ⇒ 00:27:49.110 Robert Tseng: All right, any, any questions, or kind of, do you agree with that, Hannah, since I know you’ve been really doing this mostly?
283 00:27:50.050 ⇒ 00:27:56.040 Hannah Wang: Yeah, I’m trying to… Push out messages to people. At least 3.
284 00:27:57.110 ⇒ 00:27:58.520 Robert Tseng: Okay, cool.
285 00:27:59.210 ⇒ 00:28:01.050 Uttam Kumaran: Yeah, I feel good, this is getting better.
286 00:28:02.040 ⇒ 00:28:13.549 Robert Tseng: Yeah, every lead is getting 3 messages, and you’re able to kind of handle them without us, so I would say this is also on track now at this point. So, I’m glad we turned these around.
287 00:28:15.040 ⇒ 00:28:24.610 Robert Tseng: Yeah, the partner source lead, you know, this is still kind of, you know, where we’re going to be talking to… we already went through the… a few things before we jumped on, so I’m not going to kind of rehash that.
288 00:28:25.220 ⇒ 00:28:28.909 Robert Tseng: okay, so I’m just gonna keep that there.
289 00:28:29.450 ⇒ 00:28:32.879 Robert Tseng: I guess the… this…
290 00:28:33.300 ⇒ 00:28:44.029 Robert Tseng: SQL journey to sales qualifying lead to close one kind of report will help me to measure this. I’m actually going to just make this as is.
291 00:28:44.920 ⇒ 00:28:48.200 Robert Tseng: I want this… Big.
292 00:28:48.390 ⇒ 00:28:49.330 Robert Tseng: Err.
293 00:28:50.360 ⇒ 00:28:52.500 Robert Tseng: So… Hello.
294 00:28:53.710 ⇒ 00:28:55.599 Robert Tseng: Let’s move this around…
295 00:28:55.870 ⇒ 00:29:01.110 Robert Tseng: Yeah, I guess I… when this… once this is cleaned up, I’ll go ahead and validate how we’re actually doing here, so…
296 00:29:01.220 ⇒ 00:29:10.519 Robert Tseng: But once again, I think the volume’s low. We’re not really booking 10 meetings a week, so this is not really something that I can really say too much about for now.
297 00:29:11.830 ⇒ 00:29:16.560 Robert Tseng: Yeah, so I’m gonna mark those both lagging.
298 00:29:16.900 ⇒ 00:29:23.979 Robert Tseng: I think this is something that I should mark as poor, so I’m bringing my attention to it.
299 00:29:24.290 ⇒ 00:29:25.600 Robert Tseng: And then…
300 00:29:25.940 ⇒ 00:29:39.899 Robert Tseng: Yeah, I think we’re doing better on this. I’ve definitely been able to adopt the AI tooling better, so been able to push things out faster, so I feel good about we’re able to hit both of these at this point.
301 00:29:40.690 ⇒ 00:29:58.479 Robert Tseng: Okay, so it seems like sales process-wise, you’re definitely in a better spot. Like, things seem to be moving along in terms of nudging leads to the next stages, so I think, Bruce, that’s not really the focus of this week for me, in terms of where my attention needs to be. I think we still have a top-line problem,
302 00:29:58.480 ⇒ 00:30:05.860 Robert Tseng: We have an activation problem around, kind of, like, our… some of the assets that we’ve produced, and so kind of figuring out how we can push those out.
303 00:30:05.870 ⇒ 00:30:18.899 Robert Tseng: in a helpful way. And then, yeah, I think just measurements of, like, leads… leads… lead sourcing… measurement of lead sources is… is kind of… those are the… the top priorities that I’m gonna be…
304 00:30:18.950 ⇒ 00:30:20.960 Robert Tseng: Trying to push… push the team on.
305 00:30:23.530 ⇒ 00:30:30.560 Robert Tseng: Any questions on, kind of, this stuff? Have we… did anything else that I missed here? Are all these next steps pretty clear?
306 00:30:33.130 ⇒ 00:30:33.690 Hannah Wang: Yep.
307 00:30:34.660 ⇒ 00:30:40.549 Robert Tseng: Okay, cool. Yeah, I’ll turn it over. Yeah, Hannah, do you want to kind of go through
308 00:30:40.660 ⇒ 00:30:43.120 Robert Tseng: Your marketing campaign tracker?
309 00:30:45.440 ⇒ 00:30:46.320 Hannah Wang: Yep.
310 00:30:53.440 ⇒ 00:30:57.000 Hannah Wang: Okay, I know this is really tiny, so…
311 00:31:02.750 ⇒ 00:31:07.250 Hannah Wang: Sorry, the fire alarm is going off, I think it’s a test, but… I’m…
312 00:31:07.250 ⇒ 00:31:08.220 Robert Tseng: I can’t hear anything.
313 00:31:08.460 ⇒ 00:31:09.330 Uttam Kumaran: We can’t hear it, you’re good.
314 00:31:09.330 ⇒ 00:31:12.589 Hannah Wang: Oh, it’s distracting for me, because I don’t know if it’s a test or not.
315 00:31:12.590 ⇒ 00:31:13.060 Robert Tseng: Oh.
316 00:31:13.060 ⇒ 00:31:16.530 Hannah Wang: I might need to evacuate, but anyway.
317 00:31:21.100 ⇒ 00:31:26.220 Hannah Wang: Okay, so for the conferences… I mean, I like…
318 00:31:26.530 ⇒ 00:31:35.659 Hannah Wang: I marked some of these as complete, but I’m still, like, finishing up the sequence, like, the Mofu sequence for some of these, so I’m constantly, like, updating.
319 00:31:36.180 ⇒ 00:31:45.780 Hannah Wang: updating these sheets, and kind of, like, tracking, like, what touch they’re at, and then for all the third touch people, I move them to a…
320 00:31:45.940 ⇒ 00:31:57.949 Hannah Wang: another sheet here called Conference Lead Circleback, just in, like, to keep in mind, because, yeah, we might want to circle back to these leads eventually. So, I’m doing that, and then…
321 00:31:58.220 ⇒ 00:32:06.769 Hannah Wang: As for the active conferences, like I said, I closed some of these, but they’re still active for me, because I’m following up with people. But…
322 00:32:06.900 ⇒ 00:32:17.040 Hannah Wang: the one that’s most recent is the health one, so I’m gonna try to address your comments, Robert, on the white paper, and then hopefully we can get that.
323 00:32:17.820 ⇒ 00:32:27.829 Hannah Wang: push out, and then I’ll send that as a second… second touch message for these people. I guess this is, like, basically complete now.
324 00:32:27.830 ⇒ 00:32:35.059 Robert Tseng: Well, so now that you have that white paper template, like, we could… we could… how fast do you think you could do another one?
325 00:32:36.800 ⇒ 00:32:40.039 Hannah Wang: If I have the content, pretty fast. If I don’t, not fast at all.
326 00:32:40.440 ⇒ 00:32:50.019 Robert Tseng: Okay, yeah, so it’s just, like, a content thing. So, like, assume… assume I give you, like, a content brief, like I give you for the health. I mean, I don’t… I think I… I feel like I brought the health content to, like.
327 00:32:50.210 ⇒ 00:32:54.710 Robert Tseng: I mean, I gave you, like, a giant dock, and then you started to push, push, put it into the sign, right?
328 00:32:55.880 ⇒ 00:32:58.560 Hannah Wang: You gave me the AUX Insights one, but, like.
329 00:32:58.830 ⇒ 00:33:17.049 Hannah Wang: maybe this is my fault, maybe I should read it, but I didn’t know how that correlated with ours, so I just asked GPT to come up with the outline, and then you said you took a long time revising that outline, and then you gave me a doc, I moved that doc to Figma, and then you want a couple more changes. That’s the flow. Yeah.
330 00:33:17.050 ⇒ 00:33:27.519 Robert Tseng: No, like, I gave you a doc. Yeah, so, like, I could just take that doc, and I wanna… like, I’m just thinking about the… like, I… you know, if we have… I can do more of these long-form things, like.
331 00:33:27.630 ⇒ 00:33:32.690 Robert Tseng: Like, if it’s a faster process now, we could be putting… we could be putting more of these out.
332 00:33:33.830 ⇒ 00:33:45.240 Hannah Wang: Yeah, so you gave me that Google Doc, so if you give me that and it has content, then I can crank it out in, like, a day. Like, if I just need to design, if that’s all I need to do, then I can do it in a day.
333 00:33:45.240 ⇒ 00:33:45.640 Robert Tseng: Okay.
334 00:33:45.640 ⇒ 00:33:52.849 Hannah Wang: I know you created a doc. You tagged me and Jake in a message about CPG, like a CPG one, so yeah, for that one.
335 00:33:52.850 ⇒ 00:33:53.650 Robert Tseng: That’s what I want to do.
336 00:33:53.650 ⇒ 00:33:54.339 Hannah Wang: it out.
337 00:33:54.700 ⇒ 00:33:55.040 Robert Tseng: Okay.
338 00:33:55.250 ⇒ 00:33:57.200 Hannah Wang: So, do you want to do that this week?
339 00:33:57.800 ⇒ 00:34:07.480 Robert Tseng: Yeah, I mean, I would like… I would like to come back to it. I think it’ll help me just close out the ShopTalk ones, just because I know we keep talking about…
340 00:34:07.480 ⇒ 00:34:07.810 Hannah Wang: Yeah.
341 00:34:07.810 ⇒ 00:34:14.629 Robert Tseng: want to be done with that campaign. But, like, I didn’t have, like, a final thing to send people, and I think that would be a good one to send.
342 00:34:14.889 ⇒ 00:34:17.739 Hannah Wang: Like, for the roundtable? Roundtable people?
343 00:34:18.530 ⇒ 00:34:18.900 Robert Tseng: Well, yeah.
344 00:34:18.909 ⇒ 00:34:19.539 Hannah Wang: I’m just gonna build.
345 00:34:19.540 ⇒ 00:34:26.099 Robert Tseng: it for them, but I’m gonna send it to all… everyone that… to all… to all the other leads, too.
346 00:34:26.100 ⇒ 00:34:33.069 Hannah Wang: Okay, because I sent, like, for some of these, I already sent, like, a second touch case study, but yeah, sure, we can…
347 00:34:33.070 ⇒ 00:34:33.679 Robert Tseng: Yeah.
348 00:34:34.010 ⇒ 00:34:35.719 Hannah Wang: send more stuff, so…
349 00:34:36.010 ⇒ 00:34:40.650 Hannah Wang: Okay, Rico, can you bring in that ticket? I don’t know if it’s created or not, but…
350 00:34:40.780 ⇒ 00:34:48.759 Hannah Wang: there should be, like, a message in Slack somewhere about it. If you can find that and make a ticket for me and bring it into this sprint, that’d be helpful for me.
351 00:34:49.010 ⇒ 00:34:51.620 Hannah Wang: Thanks, Rico.
352 00:34:52.679 ⇒ 00:35:04.659 Hannah Wang: Okay, so yeah, the health one, and then this is, like, another conference that I saw that’s happening in Austin. I messaged Utam about it last Friday, so I’ll kind of do a similar sequence for his…
353 00:35:05.240 ⇒ 00:35:14.409 Hannah Wang: LinkedIn stuff, yeah, so I’m gonna work on this this week. And then, I know contextual…
354 00:35:14.860 ⇒ 00:35:16.450 Hannah Wang: We’re talking with Raj.
355 00:35:16.720 ⇒ 00:35:24.760 Hannah Wang: tomorrow or Wednesday about their roadmap, and then based on that, I think we’re gonna try to co-activate something, so I feel like this should still be active.
356 00:35:25.300 ⇒ 00:35:36.639 Uttam Kumaran: Yeah, I just sent a note, so I think, Rico, if you can work on just getting us organized on contextual, it’s gonna be a very similar exercise across all partners, but now that we sort of scored
357 00:35:36.930 ⇒ 00:35:41.530 Uttam Kumaran: a win there, we just have to keep, like, momentum high. So we have…
358 00:35:41.700 ⇒ 00:35:45.760 Uttam Kumaran: We’re gonna be able to book, a bi-weekly with them.
359 00:35:45.950 ⇒ 00:35:51.849 Uttam Kumaran: I want to do some co-marketing, like, video stuff, so I’m getting organized on my side around that.
360 00:35:52.190 ⇒ 00:35:57.029 Uttam Kumaran: There were a bunch of other follow-ups. Give me a very similar game on Teleisma.
361 00:35:57.480 ⇒ 00:36:15.080 Uttam Kumaran: So I think what, kind of, like, my overarching theme there is, like, I can go get us those conversations, and it’s clear, like, even that one, we were, like, not so organized, and it went well. We’ll… it should probably go well across the board. The where I’m gonna need support is, like, on the follow-ups.
362 00:36:16.760 ⇒ 00:36:17.310 Holly Condos: And I can…
363 00:36:17.310 ⇒ 00:36:18.160 Uttam Kumaran: So…
364 00:36:18.250 ⇒ 00:36:20.140 Holly Condos: Yeah, so that’s where I think…
365 00:36:20.140 ⇒ 00:36:26.489 Uttam Kumaran: between Hannah, Ollie, and Rico, that’s where I can get us in the room and sort of, like.
366 00:36:27.180 ⇒ 00:36:43.419 Uttam Kumaran: do my part there, but then I’m gonna need help just, like, activating things. So I think let’s… let’s plan on… let’s do… let’s focus on just Contextual and Telisma, and see, kind of, like, nail it, see what our bandwidth is like, and then I can go get… continue to push on the others.
367 00:36:43.550 ⇒ 00:36:46.649 Uttam Kumaran: Like, I’ve already sent out messages to Amplitude and Mixpanel.
368 00:36:46.900 ⇒ 00:36:55.010 Uttam Kumaran: So, I’ll keep layering on more, and then… but I think where I need help is just the day-to-day follow-ups,
369 00:36:55.510 ⇒ 00:36:56.590 Uttam Kumaran: That would be great.
370 00:36:57.530 ⇒ 00:36:58.220 Holly Condos: Okay.
371 00:37:03.380 ⇒ 00:37:09.799 Hannah Wang: Sorry, I don’t know if this should be here, but anyway, okay, and then…
372 00:37:11.080 ⇒ 00:37:18.209 Hannah Wang: I was gonna say… oh, for Talisma, did we want to meet before tomorrow? Like, do you want me to do the deck?
373 00:37:20.940 ⇒ 00:37:21.460 Uttam Kumaran: Yes.
374 00:37:21.460 ⇒ 00:37:23.599 Holly Condos: Yeah, I asked that too.
375 00:37:23.600 ⇒ 00:37:26.780 Uttam Kumaran: We should, but I’m not gonna have… not sure if I’m gonna have time…
376 00:37:27.880 ⇒ 00:37:36.790 Holly Condos: I’m not sure that we need the deck for tomorrow, because remember when we talked to Erin last, it was kind of like, you know, let’s talk about…
377 00:37:37.160 ⇒ 00:37:50.160 Holly Condos: our side, your side, what our synergies are, where we can fill each other’s gaps. So I think it’s really more of a discovery, exploratory, and I think we could follow up with the deck, honestly.
378 00:37:52.960 ⇒ 00:37:58.149 Holly Condos: Okay. Unless you really want to do it, Utom. I mean, I can do some work tonight.
379 00:37:59.590 ⇒ 00:38:06.259 Uttam Kumaran: I don’t think we need to do… I think we can just repurpose a lot of what we already did for contextual, minus the contextual.
380 00:38:06.550 ⇒ 00:38:15.459 Uttam Kumaran: stuff, Hannah. And, like, I don’t have to go through… yeah, I actually think it’s… I think we should deck, and we just don’t have to do… edit much.
381 00:38:16.370 ⇒ 00:38:17.860 Holly Condos: Yeah, it’s pretty close. Okay.
382 00:38:18.060 ⇒ 00:38:24.630 Uttam Kumaran: Yeah, I think, actually, maybe let’s just use it, and then I will… the only things I need to think through are, like.
383 00:38:24.890 ⇒ 00:38:30.229 Uttam Kumaran: To put, like, education spin, and then put our health… Flash up our health clients.
384 00:38:30.360 ⇒ 00:38:34.150 Uttam Kumaran: But maybe, Hannah, if you want to create one, I probably also will…
385 00:38:34.280 ⇒ 00:38:35.810 Uttam Kumaran: Need to look at it tonight.
386 00:38:35.980 ⇒ 00:38:37.979 Uttam Kumaran: But if you just, if you just…
387 00:38:38.530 ⇒ 00:38:41.450 Uttam Kumaran: Create the doc and send it in the channel.
388 00:38:43.690 ⇒ 00:38:47.069 Hannah Wang: Or… I’m gonna write that down…
389 00:38:47.070 ⇒ 00:38:47.440 Uttam Kumaran: Yeah.
390 00:38:47.440 ⇒ 00:38:48.300 Hannah Wang: Okay.
391 00:38:48.930 ⇒ 00:38:50.050 Hannah Wang: Sounds good.
392 00:38:51.220 ⇒ 00:38:52.710 Holly Condos: Okay.
393 00:38:54.670 ⇒ 00:39:02.099 Hannah Wang: And then, I guess gig radar, like, I marked it as complete. I think we already discussed it in Slack, so,
394 00:39:03.890 ⇒ 00:39:13.869 Hannah Wang: I don’t know either between Ryan or me, like, who should go on. I guess both of us can, but I feel like that should be, like, a recurring ticket to make, just to…
395 00:39:14.000 ⇒ 00:39:14.520 Hannah Wang: scroll.
396 00:39:14.520 ⇒ 00:39:23.229 Uttam Kumaran: Yeah, I guess, Robert, like, what would you… what would you want to do in terms of volume? And then I think we should just have, like, Ryan hit it every week.
397 00:39:24.860 ⇒ 00:39:28.939 Robert Tseng: Yeah, well, I mean, our volume was, like, less than 20 a month, so I feel like…
398 00:39:29.160 ⇒ 00:39:31.390 Robert Tseng: That seems like we could do that.
399 00:39:34.080 ⇒ 00:39:36.249 Uttam Kumaran: What is a… what is a goal volume?
400 00:39:38.560 ⇒ 00:39:41.870 Robert Tseng: I think we just… it was just keeping… keeping what it was before.
401 00:39:42.400 ⇒ 00:39:42.960 Uttam Kumaran: Okay.
402 00:39:44.240 ⇒ 00:39:51.679 Uttam Kumaran: I think we’ll easily hit that. I mean, we’re using… we’re using AI for a lot of this stuff. I think what we need to think through, maybe, is, like, our approval, like…
403 00:39:51.830 ⇒ 00:39:53.710 Uttam Kumaran: Is there an approval flow?
404 00:39:54.770 ⇒ 00:40:04.880 Robert Tseng: Well, we have dialed in the filters pretty well on GigRadar. We should just reuse the same filters that we had. Like, I think, yeah.
405 00:40:05.920 ⇒ 00:40:09.250 Uttam Kumaran: Do you want… do you want to have, like… okay.
406 00:40:09.600 ⇒ 00:40:16.809 Uttam Kumaran: Yeah, I mean, I personally don’t care about reading it before it goes out, as long as it uses our GPT.
407 00:40:18.900 ⇒ 00:40:27.050 Robert Tseng: I mean, yeah, I saw the, I saw the quality of the, what was set up before. I thought it was fine, like, so…
408 00:40:27.330 ⇒ 00:40:33.110 Robert Tseng: Yeah, it was… it was AI-generated or whatever, but, like, I think… I think.
409 00:40:33.110 ⇒ 00:40:38.339 Uttam Kumaran: I think ours is better, because it’s actually referencing… it’s actually referencing, like, our documents and stuff, too.
410 00:40:38.340 ⇒ 00:40:42.329 Robert Tseng: Yeah, it’s, like, referencing real stuff, so, like, I thought… I thought it was fine. Yeah.
411 00:40:43.460 ⇒ 00:40:47.150 Uttam Kumaran: Okay, then I think we should just put, like, we should put a goal of,
412 00:40:47.470 ⇒ 00:40:51.280 Uttam Kumaran: 20 a month is, like, 5 a week, so we should just put a goal of that.
413 00:40:51.440 ⇒ 00:40:54.510 Uttam Kumaran: And then… we can add an OKR.
414 00:40:55.560 ⇒ 00:40:57.440 Uttam Kumaran: For that, tracking, and then…
415 00:40:57.920 ⇒ 00:41:02.670 Uttam Kumaran: Rico, let’s… we can talk about that in the marketing meet today, about having a…
416 00:41:03.380 ⇒ 00:41:07.149 Uttam Kumaran: thing. So, ideally, again, we bid on 5 across any platform.
417 00:41:07.800 ⇒ 00:41:10.179 Uttam Kumaran: That should be pretty easy.
418 00:41:10.650 ⇒ 00:41:13.340 Uttam Kumaran: And then I just want some way we can,
419 00:41:13.650 ⇒ 00:41:19.139 Uttam Kumaran: go look at that somewhere, so maybe we create a Google Form or something where it gets logged somewhere.
420 00:41:19.670 ⇒ 00:41:23.789 Uttam Kumaran: That way, when… if they eventually…
421 00:41:24.570 ⇒ 00:41:28.960 Uttam Kumaran: I want to start to be able to, at some point every couple weeks, make tweaks to the copy, so…
422 00:41:29.800 ⇒ 00:41:31.719 Uttam Kumaran: Okay, so we can talk about that today.
423 00:41:34.620 ⇒ 00:41:37.960 Hannah Wang: Okay, that’s everything on my inside.
424 00:41:44.120 ⇒ 00:41:48.420 Robert Tseng: Okay, cool. Yeah, I mean, if nothing else, yeah, we don’t need to take the bar.
425 00:41:49.650 ⇒ 00:41:50.280 Uttam Kumaran: Okay.
426 00:41:50.280 ⇒ 00:41:50.970 Hannah Wang: Robert, can you.
427 00:41:50.970 ⇒ 00:41:51.330 Robert Tseng: I know.
428 00:41:51.330 ⇒ 00:41:55.300 Hannah Wang: Talk about the white paper in the remaining 20, if you have time.
429 00:41:55.670 ⇒ 00:41:58.970 Robert Tseng: Yeah, yeah, I’ll stay on, but I don’t think… yeah, we don’t…
430 00:41:58.970 ⇒ 00:41:59.990 Hannah Wang: Yeah, everyone else can drop.
431 00:41:59.990 ⇒ 00:42:00.350 Robert Tseng: Yeah.
432 00:42:00.350 ⇒ 00:42:01.000 Hannah Wang: Yeah.
433 00:42:01.000 ⇒ 00:42:03.930 Uttam Kumaran: I’ll just chill here, I’m just doing sales stuff anyways.
434 00:42:04.240 ⇒ 00:42:04.880 Robert Tseng: Okay.
435 00:42:05.200 ⇒ 00:42:06.240 Hannah Wang: Okay.
436 00:42:06.480 ⇒ 00:42:07.360 Robert Tseng: Alright.
437 00:42:07.360 ⇒ 00:42:07.940 Hannah Wang: Mmm.
438 00:42:08.180 ⇒ 00:42:09.030 Ryan Brosas: Thank you.
439 00:42:11.510 ⇒ 00:42:16.010 Hannah Wang: Let me grab some water, but yeah, I’ll be right back.
440 00:42:16.210 ⇒ 00:42:16.790 Robert Tseng: Yeah.
441 00:42:42.360 ⇒ 00:42:45.929 Hannah Wang: Let me share my screen.
442 00:42:50.820 ⇒ 00:42:53.860 Hannah Wang: Oh, Tom, did you pay this, by the way? It’s still…
443 00:42:54.310 ⇒ 00:42:55.939 Uttam Kumaran: Yeah, I need to pay this.
444 00:42:55.940 ⇒ 00:42:57.100 Hannah Wang: Okay, no worries.
445 00:42:58.040 ⇒ 00:43:01.610 Hannah Wang: So I know a lot of your comments are based on, like.
446 00:43:01.990 ⇒ 00:43:05.829 Hannah Wang: where’s the data from? Like.
447 00:43:08.900 ⇒ 00:43:11.159 Hannah Wang: Yeah, I guess my question is…
448 00:43:13.170 ⇒ 00:43:18.039 Hannah Wang: like, should I just go find… find it? Because, like, I don’t know if this copy was…
449 00:43:18.420 ⇒ 00:43:26.210 Hannah Wang: the one that you revised from my original AI-generated one, Or, if you… revised.
450 00:43:26.520 ⇒ 00:43:30.480 Hannah Wang: it, like, I can’t really tell, so, like, I’m assuming…
451 00:43:30.810 ⇒ 00:43:34.650 Hannah Wang: not? Like, I’m assuming that this was already there.
452 00:43:34.810 ⇒ 00:43:40.590 Hannah Wang: And then if you’re like, where’s the data? I’m assuming you didn’t, like, add this data point, so…
453 00:43:40.900 ⇒ 00:43:41.860 Hannah Wang: I guess…
454 00:43:42.910 ⇒ 00:43:49.830 Hannah Wang: Is the best thing for me to do is just, like, dig through some of the facts and just, like, add references.
455 00:43:50.480 ⇒ 00:43:54.750 Robert Tseng: Yeah, I would say just, like, you should link to the stuff if you’re gonna drop, like.
456 00:43:55.780 ⇒ 00:43:57.060 Robert Tseng: So, yeah.
457 00:43:57.530 ⇒ 00:44:02.870 Hannah Wang: Well, I… maybe this is where I relied on AI too much, but yeah, I definitely didn’t.
458 00:44:02.870 ⇒ 00:44:12.510 Uttam Kumaran: One way to actually balance this is if you use Perplexity Deep Research or ChatGBT Deep Research, Hannah, it’ll give you references.
459 00:44:12.920 ⇒ 00:44:13.390 Hannah Wang: Okay.
460 00:44:13.390 ⇒ 00:44:21.849 Uttam Kumaran: So that would be my suggestion, is use the search functionality, and use the deep research functionality to get the data. Otherwise, it’s gonna hallucinate, and then, yeah, like.
461 00:44:21.850 ⇒ 00:44:22.510 Hannah Wang: Yeah.
462 00:44:22.660 ⇒ 00:44:30.899 Uttam Kumaran: Robert… I’m a… I’m a little bit more like, fuck it, whatever, but even on our client stuff, I do adjust it, but…
463 00:44:31.130 ⇒ 00:44:35.750 Uttam Kumaran: We really want to make sure that everything in a white paper has to be referenced.
464 00:44:35.950 ⇒ 00:44:37.290 Uttam Kumaran: We’ll get jammed.
465 00:44:37.730 ⇒ 00:44:38.070 Hannah Wang: Okay.
466 00:44:38.070 ⇒ 00:44:45.830 Uttam Kumaran: And Robert’s in law school right now, and this is all the rage in his industry. Did you just see that ruling this weekend that they found?
467 00:44:46.230 ⇒ 00:44:48.659 Uttam Kumaran: Robert, you see that article?
468 00:44:49.240 ⇒ 00:44:52.820 Robert Tseng: I mean, I read a lot of room weekends, I don’t know what you’re talking about.
469 00:44:52.820 ⇒ 00:45:03.889 Uttam Kumaran: There was a… no, there was a actual, like, a… not a Supreme Court, like, some super… some district judge ruling that they pulled back, because they did an investigation, and some intern used ChatGPT everywhere.
470 00:45:03.890 ⇒ 00:45:04.480 Robert Tseng: Oh, yeah.
471 00:45:05.360 ⇒ 00:45:14.220 Robert Tseng: Well, I mean, yeah, I mean, AI hallucinates cases. I was, I was doing some legal research over the weekend, and it came up with a case that doesn’t exist.
472 00:45:14.810 ⇒ 00:45:15.450 Robert Tseng: Yeah.
473 00:45:15.450 ⇒ 00:45:15.820 Uttam Kumaran: Yeah.
474 00:45:15.820 ⇒ 00:45:17.529 Robert Tseng: Like, cause it happens.
475 00:45:17.830 ⇒ 00:45:18.530 Robert Tseng: Yeah.
476 00:45:18.720 ⇒ 00:45:26.240 Hannah Wang: So would you just, like, feed this into perplexity, and be like, oh, can you, like, find facts about group-related things?
477 00:45:26.240 ⇒ 00:45:31.399 Uttam Kumaran: I would say… I would say help me find… Supporting articles.
478 00:45:31.540 ⇒ 00:45:35.839 Uttam Kumaran: Like, and the key points or findings.
479 00:45:35.980 ⇒ 00:45:38.719 Uttam Kumaran: You can look for papers, you can look for, like.
480 00:45:39.690 ⇒ 00:45:51.170 Uttam Kumaran: business reviews, but I would avoid pulling things from, like, listicles and things like that. I would also use a deep research functionality. It’s a lot better. Okay. Gemini is also good at this.
481 00:45:51.900 ⇒ 00:45:54.179 Hannah Wang: We have, like, yeah.
482 00:45:54.860 ⇒ 00:45:55.579 Uttam Kumaran: Yeah, go ahead.
483 00:45:56.640 ⇒ 00:45:58.799 Hannah Wang: Do we have to play around. Do we have a team? Yeah.
484 00:45:59.150 ⇒ 00:46:02.969 Hannah Wang: team, perplexity thing that you could add into?
485 00:46:02.970 ⇒ 00:46:07.470 Uttam Kumaran: Use, use the ChatGPT, search mode, it’s just the same thing.
486 00:46:07.470 ⇒ 00:46:08.790 Hannah Wang: Sure. Okay.
487 00:46:08.940 ⇒ 00:46:19.190 Uttam Kumaran: It’s actually, like, a little bit better. I just like Perplexity because I just… it’s just, like, looks nice, but the ChatGPT Deep Research Plus Search will get you the same stuff.
488 00:46:20.240 ⇒ 00:46:20.820 Hannah Wang: Right.
489 00:46:21.410 ⇒ 00:46:34.279 Uttam Kumaran: And then if you need Gemini, we can also turn that on, but I would try that and just tweak it a little bit. You can look for basic… and basically, just avoid, like, pulling metrics from, like… there will be a lot of references that are just, like, crap.
490 00:46:34.410 ⇒ 00:46:44.999 Uttam Kumaran: AI blog posts. Like, really be careful not to pull stuff from that. You want to pull stuff from, like, Harvard Business Review, different, like, business reviews, different papers, stuff like that.
491 00:46:45.360 ⇒ 00:46:46.280 Uttam Kumaran: Okay.
492 00:46:47.180 ⇒ 00:46:50.600 Uttam Kumaran: Ryan, if you… Ryan… Ryan has done this before, too.
493 00:46:51.120 ⇒ 00:46:51.770 Hannah Wang: Yeah.
494 00:46:52.010 ⇒ 00:46:59.900 Uttam Kumaran: On, like, for example, if you go to our blogs on our site, a lot of that you’ll see references to real good articles, so it’s kind of… kind of similar.
495 00:47:00.470 ⇒ 00:47:01.120 Hannah Wang: Okay.
496 00:47:01.390 ⇒ 00:47:04.250 Hannah Wang: I just click on that web-looking thing, right?
497 00:47:04.250 ⇒ 00:47:05.510 Uttam Kumaran: Yes.
498 00:47:05.690 ⇒ 00:47:06.860 Hannah Wang: It’s, like, search, okay.
499 00:47:06.860 ⇒ 00:47:10.459 Uttam Kumaran: You just may find that if you use it without the deep research, it may, like.
500 00:47:10.890 ⇒ 00:47:12.259 Uttam Kumaran: Just give you, like, crap.
501 00:47:12.740 ⇒ 00:47:15.400 Hannah Wang: Yeah. And the deep research will only take a couple minutes.
502 00:47:15.940 ⇒ 00:47:16.700 Hannah Wang: Okay.
503 00:47:17.640 ⇒ 00:47:36.660 Hannah Wang: Alright, thanks. Yeah, I didn’t… I was like, what do I do? But I knew AI would help somehow, so… I will work on this today, and then have a V2 by tomorrow, and then hopefully that’ll be good, and then we can crank this out and start sending it. And then I’ll also work on the,
504 00:47:37.480 ⇒ 00:47:40.009 Hannah Wang: what is it? The CPG version of…
505 00:47:40.290 ⇒ 00:47:44.040 Hannah Wang: of this as well. And then you can send that out to ShopTalk people.
506 00:47:44.760 ⇒ 00:47:50.670 Robert Tseng: Okay. Yeah, I mean, don’t worry too much about the getting backlinks or everything. Like, I would just say, just…
507 00:47:50.820 ⇒ 00:47:58.969 Robert Tseng: do your first pass at it, and anything else, like, I can… I can edit it, so… Sure. I just… I just don’t want to do it from zero, so…
508 00:47:58.970 ⇒ 00:48:00.760 Hannah Wang: Scratch, sure, I get it.
509 00:48:01.220 ⇒ 00:48:01.660 Robert Tseng: Yeah.
510 00:48:01.660 ⇒ 00:48:06.859 Hannah Wang: Okay, yeah, I think that was all for me.
511 00:48:07.630 ⇒ 00:48:08.340 Hannah Wang: Thanks.
512 00:48:09.040 ⇒ 00:48:09.710 Robert Tseng: Okay.
513 00:48:10.960 ⇒ 00:48:16.870 Hannah Wang: Well, I’m just gonna stay on until… Anything else you want to talk about, like, sales-wise?
514 00:48:17.540 ⇒ 00:48:29.519 Uttam Kumaran: I’m gonna… so… my, stretch goal of the week is I’m actually working with my friend Mickey, and we’re gonna try to actually record some, like, long-form content. I don’t know how it’s gonna turn out yet.
515 00:48:29.680 ⇒ 00:48:34.090 Uttam Kumaran: But one of the upstairs rooms we’re gonna turn into, like, a little studio.
516 00:48:34.270 ⇒ 00:48:37.390 Uttam Kumaran: I’m gonna try to record, like, one or two hours of, like.
517 00:48:39.380 ⇒ 00:48:43.279 Uttam Kumaran: I’m kind of giving him more, like, creative direction, but either, like.
518 00:48:43.600 ⇒ 00:48:49.809 Uttam Kumaran: Some of the videos that they… that, like, that are doing well in, like, e-com world, which they’re, like, explaining concepts and data.
519 00:48:50.020 ⇒ 00:48:53.900 Uttam Kumaran: or something around explaining, like, larger concepts, just for our ICP.
520 00:48:54.010 ⇒ 00:48:59.609 Uttam Kumaran: So, I… I spent some… I spent 2 hours… I met with, Jake again for, like, a couple hours last week.
521 00:49:00.110 ⇒ 00:49:00.520 Robert Tseng: Oh, yeah?
522 00:49:00.980 ⇒ 00:49:01.530 Uttam Kumaran: Yeah.
523 00:49:01.530 ⇒ 00:49:03.380 Robert Tseng: Why did he stop working with us? When was this year?
524 00:49:03.380 ⇒ 00:49:08.679 Uttam Kumaran: You know, his… yeah, I mean, it’s just, like, why me and you would quit? He’s actually… he’s trying to, like.
525 00:49:08.830 ⇒ 00:49:13.789 Uttam Kumaran: Do something on his own, but what he’s trying to do is basically go build, like, a media…
526 00:49:14.860 ⇒ 00:49:17.089 Uttam Kumaran: Sort of company around, like.
527 00:49:17.970 ⇒ 00:49:36.210 Uttam Kumaran: like, something in software where there’s, like, open band, open area to go and, like, produce high-quality content and, like, kind of own an industry. So I gave him some tips on, like, how to think about that. Like, he’s thinking about going… for example, an idea would be, like, let’s go into, like, accounts payable software and just become the…
528 00:49:36.580 ⇒ 00:49:42.059 Uttam Kumaran: Just create, like, super high-quality videos around accounts payable software, and, like, become like that.
529 00:49:42.550 ⇒ 00:50:00.800 Uttam Kumaran: I mean, I said, like, look, there’s… there’s opportunity there, so he wants to kind of do that. I think he’s still down to help us, like, for free, actually, as long as I keep, like, giving him ideas about this, so… but that’s… that’s really, like, what he’s going in. And look, I don’t know whether it’s gonna work out or not for him, so he… there’s a good chance he may just, like, come help us part-time.
530 00:50:00.800 ⇒ 00:50:06.190 Robert Tseng: Okay. Alright, don’t give him the good ideas. Give him the ones that get him close, and then he flops, and then he comes back.
531 00:50:06.190 ⇒ 00:50:08.589 Uttam Kumaran: I’m not gonna… I’m not good at that at all.
532 00:50:08.590 ⇒ 00:50:10.189 Robert Tseng: I’m just kidding, I’m just kidding.
533 00:50:10.190 ⇒ 00:50:19.359 Uttam Kumaran: No, I actually think, I actually think, it’s probably too overwhelming, the amount of stuff I told them. I was like, you need to go to Magic…
534 00:50:19.760 ⇒ 00:50:31.750 Uttam Kumaran: quadrant from Gartner, and you need to go quadrant by quadrant and, like, isolate on these SKUs which… which industry to go after. No, but he’s gonna help us a little bit. And then, yeah, I’m thinking about… so there’s kind of two things. One,
535 00:50:32.750 ⇒ 00:50:37.989 Uttam Kumaran: we… we pitched Contextual a little bit on, like, putting together an event with us.
536 00:50:38.220 ⇒ 00:50:42.799 Uttam Kumaran: And I don’t know, Robert, if, like, we’re kind of trying to… I think I can easily get…
537 00:50:42.960 ⇒ 00:50:50.989 Uttam Kumaran: like, 5K, at least, from most partners to co-host events. And kind of the way we’re thinking about it is, like.
538 00:50:51.370 ⇒ 00:51:04.130 Uttam Kumaran: basically, like, we put this slide in… we would put this slide in front of them, typically, but they were pretty open to it, and so, kind of, like, what I’m hoping to do is, like, as long as some people start to buy to, like, 5K,
539 00:51:04.740 ⇒ 00:51:15.709 Uttam Kumaran: that’s enough for us to run an event, and then at least it would fund a lot of it, and ideally we… basically, I think we’re providing, like, 5K worth of value in terms of, like, our end of the bargain.
540 00:51:15.950 ⇒ 00:51:25.399 Uttam Kumaran: And similarly, on the video side, Contextual wants to do some videos with us, where, like, I explain their product, and we’re, like, on the phone
541 00:51:25.640 ⇒ 00:51:26.990 Uttam Kumaran: with someone.
542 00:51:27.560 ⇒ 00:51:37.740 Uttam Kumaran: if the videos turn out high quality, I’m gonna be like, yo, it’s… I’m gonna… I at least want to cover Mickey’s time, but I’m gonna ask for money for that, too. And then we sort of produce, like.
543 00:51:38.130 ⇒ 00:51:43.559 Uttam Kumaran: But the angle, kind of on the video side, is, like, very high quality. Like, good lighting.
544 00:51:44.090 ⇒ 00:51:46.540 Uttam Kumaran: Kind of like a little bit longer form.
545 00:51:46.870 ⇒ 00:51:53.370 Uttam Kumaran: almost like, you know, for example, he puts together the videos for Taylor on contextual
546 00:51:53.690 ⇒ 00:51:56.530 Uttam Kumaran: are on, so, Common Thread.
547 00:51:57.340 ⇒ 00:52:02.770 Uttam Kumaran: Like, Common Thread Collective, common Thread Collective…
548 00:52:05.380 ⇒ 00:52:11.349 Uttam Kumaran: Let’s see… he puts together some of these, like, longer-form videos with Taylor.
549 00:52:14.280 ⇒ 00:52:15.880 Uttam Kumaran: Oh, let’s see…
550 00:52:21.370 ⇒ 00:52:22.710 Uttam Kumaran: Yeah, like this.
551 00:52:24.280 ⇒ 00:52:26.129 Robert Tseng: That’s your friend? This is the guy with a cat?
552 00:52:26.450 ⇒ 00:52:31.810 Uttam Kumaran: No, no, no. I think he’s in one of these, but he produces all of these, like, he’s the…
553 00:52:31.810 ⇒ 00:52:33.870 Robert Tseng: That guy looks like the barstool, dude.
554 00:52:34.000 ⇒ 00:52:36.350 Uttam Kumaran: No, no, no.
555 00:52:36.810 ⇒ 00:52:44.180 Uttam Kumaran: I’m trying to find a good one, let me see if I… but some of these are so, like, ass, like, and they get hundreds of views, like, they’re not that good, but…
556 00:52:44.700 ⇒ 00:52:47.439 Uttam Kumaran: Yeah, this is my friend Mickey.
557 00:52:48.830 ⇒ 00:52:58.379 Uttam Kumaran: So, he came in, but he doesn’t have a lot of creative freedom within Common Thread Collective.
558 00:52:58.600 ⇒ 00:53:10.870 Uttam Kumaran: like, they’re kind of, like, a little bit older school, but they’re all e-com dudes, and basically, he’s like, look, I want you to do kind of things like this, where, like, we’re whiteboarding things out, talking about metrics, like…
559 00:53:10.990 ⇒ 00:53:16.550 Uttam Kumaran: You know, doing this thing, and then they have these, like, wide painting shots, like, he set up the lighting and everything.
560 00:53:16.640 ⇒ 00:53:17.720 Robert Tseng: Yeah.
561 00:53:18.120 ⇒ 00:53:19.109 Uttam Kumaran: I said…
562 00:53:19.560 ⇒ 00:53:31.530 Uttam Kumaran: I said, I don’t care… I said I only care about meetings booked, so I don’t care what the video you produce is, what the lighting is, what you want me to do. I don’t care, I have no sense of embarrassment anymore.
563 00:53:32.140 ⇒ 00:53:47.009 Uttam Kumaran: we need content that sticks to our ICP, like glue. It talks about exactly what they’re thinking about. What is that C-suite, or VP, or head of growth, trying to understand about choosing a data tool, choosing an AI tool, measuring their business.
564 00:53:47.160 ⇒ 00:54:03.720 Uttam Kumaran: And it needs to be very niche, because I said, I don’t care about this getting a million views, I don’t care if it gets 100 views. I only care about meetings booked. So I said, however this… this goes, like, that’s what we need to do, and I said, like, I’ll kind of give him a little bit of freedom on, like, how he wants to do this.
565 00:54:04.020 ⇒ 00:54:10.699 Uttam Kumaran: The other piece of this, though, is very high quality. In our world, dude, nobody produces high-quality videos.
566 00:54:10.700 ⇒ 00:54:11.150 Robert Tseng: Yeah.
567 00:54:11.150 ⇒ 00:54:12.679 Uttam Kumaran: Talking to our ICP.
568 00:54:12.860 ⇒ 00:54:15.240 Uttam Kumaran: It’s happening in e-com a little bit.
569 00:54:15.830 ⇒ 00:54:17.709 Uttam Kumaran: And it’s, of course, happening in, like.
570 00:54:18.060 ⇒ 00:54:23.060 Uttam Kumaran: more, like, ad buying and, like, stuff like that, but nothing in data, nothing in AI, so it’s all built for.
571 00:54:23.060 ⇒ 00:54:24.850 Robert Tseng: Engaging AI does this, yeah.
572 00:54:25.570 ⇒ 00:54:30.869 Uttam Kumaran: So I said, like, look, I’ll give him a couple hours of my time to do something, and then we’ll see how it goes.
573 00:54:31.070 ⇒ 00:54:34.739 Uttam Kumaran: At minimum, I think it just…
574 00:54:35.130 ⇒ 00:54:36.940 Uttam Kumaran: Just good to put more stuff out.
575 00:54:37.510 ⇒ 00:54:40.590 Uttam Kumaran: And that’s actually easier for me to do than putting, like.
576 00:54:41.290 ⇒ 00:54:45.879 Uttam Kumaran: writing, like, LinkedIn stuff, like, I can just talk into a camera for 2 hours, they can chop it up.
577 00:54:46.500 ⇒ 00:54:48.510 Robert Tseng: So that’s kind of, like, what we’re thinking. And then…
578 00:54:49.040 ⇒ 00:54:51.810 Uttam Kumaran: I mean, look, if we do a great one on, like, AI tools.
579 00:54:52.000 ⇒ 00:54:57.530 Uttam Kumaran: then yeah, totally, like, Contextual should pay to sponsor one of these fucking things, and we’ll do a walk through their tool.
580 00:54:57.670 ⇒ 00:55:02.839 Uttam Kumaran: And I’m like, look, it’s easily 5K worth of video production that’s going into one of these, you know, so…
581 00:55:03.790 ⇒ 00:55:04.450 Robert Tseng: Okay.
582 00:55:04.910 ⇒ 00:55:11.080 Robert Tseng: Yeah, I’m down for you to do that, instead of doing LinkedIn content writing, so…
583 00:55:11.460 ⇒ 00:55:19.849 Uttam Kumaran: I said, the only thing is you can’t… I said, don’t… if you don’t… it’s hard for me to get scripted, so I was like, what we need to script is more of, like, the topics.
584 00:55:20.320 ⇒ 00:55:23.629 Uttam Kumaran: Like, a light flow, versus, like, tell me what to say.
585 00:55:24.430 ⇒ 00:55:28.979 Uttam Kumaran: But yeah, that’s my side quest this week. At some point, I need to do that.
586 00:55:29.620 ⇒ 00:55:29.950 Robert Tseng: Okay.
587 00:55:30.430 ⇒ 00:55:33.249 Uttam Kumaran: And Mickey wants to record it at night.
588 00:55:33.700 ⇒ 00:55:35.350 Uttam Kumaran: Because the lighting in the upstairs.
589 00:55:35.350 ⇒ 00:55:36.490 Robert Tseng: Because of the lighting, yeah.
590 00:55:36.490 ⇒ 00:55:37.140 Uttam Kumaran: Yeah.
591 00:55:37.140 ⇒ 00:55:37.740 Robert Tseng: Hmm.
592 00:55:38.100 ⇒ 00:55:46.490 Uttam Kumaran: Versus, like, broad daylight. I said, dude, I said, I don’t care at all, I only care about meetings booked. I said, that’s the only thing I care about.
593 00:55:46.730 ⇒ 00:56:05.039 Uttam Kumaran: We could record this at McDonald’s. If you think it’ll get us meetings booked, I don’t care at all. I have no… you have complete creative freedom. We just can’t say, like, racist stuff, or, like, we can’t say clickbait stuff, you know? That’s all I said. Yeah, that’s… you can’t, like, clickbait people into clicking on this, but…
594 00:56:06.680 ⇒ 00:56:08.540 Robert Tseng: Yeah, you don’t get paid for more clicks.
595 00:56:09.100 ⇒ 00:56:15.160 Uttam Kumaran: No, I said, in fact, if this gets too many views, I said there only may be, like, a thousand people that fit our ICP.
596 00:56:15.200 ⇒ 00:56:18.609 Robert Tseng: You know, so those thousand people need to watch this video.
597 00:56:19.260 ⇒ 00:56:19.870 Robert Tseng: Yeah.
598 00:56:20.480 ⇒ 00:56:21.330 Robert Tseng: Okay.
599 00:56:31.360 ⇒ 00:56:33.079 Uttam Kumaran: Yeah, otherwise I’m… this…
600 00:56:33.510 ⇒ 00:56:37.489 Uttam Kumaran: The CES thing looks like it’s gonna close, so I’m just getting back to them, finally.
601 00:56:41.100 ⇒ 00:56:41.770 Robert Tseng: Nice.
602 00:56:44.290 ⇒ 00:56:48.489 Hannah Wang: Oh, Robert, for, like, a lot of the Shop Talk people.
603 00:56:49.360 ⇒ 00:56:54.079 Hannah Wang: Oh, did you look at my thread that I linked in item number one?
604 00:56:54.270 ⇒ 00:56:56.009 Hannah Wang: The go-to-market channel.
605 00:56:57.900 ⇒ 00:56:58.510 Hannah Wang: Oops.
606 00:56:59.000 ⇒ 00:57:05.740 Robert Tseng: I… thought I did. Did I not respond to everything? There’s another thread here.
607 00:57:05.970 ⇒ 00:57:07.600 Robert Tseng: Yes, customer…
608 00:57:07.600 ⇒ 00:57:09.739 Hannah Wang: We can just talk about it.
609 00:57:09.740 ⇒ 00:57:10.270 Robert Tseng: Yeah.
610 00:57:10.450 ⇒ 00:57:20.889 Hannah Wang: Like, here. So, for those two dudes for ShopTalk, like, did you end up talking… well, I remember you said one of them was kind of weird, or something, I don’t know, but… do you want me to hit them up too?
611 00:57:21.350 ⇒ 00:57:33.159 Robert Tseng: Yeah… Oh, Josh and… yeah, Josh and Matt, yeah.
612 00:57:33.480 ⇒ 00:57:36.940 Robert Tseng: I did. Well, so…
613 00:57:39.240 ⇒ 00:57:46.149 Robert Tseng: They’re not really… they’re not really an ICP. I don’t think it’s gonna go anywhere. Yeah, I’m ready to move on from them, yeah.
614 00:57:46.940 ⇒ 00:57:49.949 Robert Tseng: And then for Hope, she’s that SoundCloud lady.
615 00:57:49.950 ⇒ 00:57:51.420 Hannah Wang: I don’t know.
616 00:57:51.420 ⇒ 00:57:52.070 Robert Tseng: Yeah.
617 00:57:52.070 ⇒ 00:57:54.220 Hannah Wang: I need help there.
618 00:57:54.220 ⇒ 00:57:55.769 Robert Tseng: Okay, okay, I’ll.
619 00:57:56.950 ⇒ 00:57:59.089 Robert Tseng: I’ll talk to Oprah. Okay.
620 00:57:59.090 ⇒ 00:58:02.099 Hannah Wang: Oh, you don’t have to, I mean, she…
621 00:58:02.100 ⇒ 00:58:07.269 Robert Tseng: No, no, I mean, she’s a nice lady, and she has a big budget, so I’ll talk to her.
622 00:58:07.610 ⇒ 00:58:09.579 Uttam Kumaran: Who was for SoundCloud?
623 00:58:09.880 ⇒ 00:58:10.710 Robert Tseng: Yeah.
624 00:58:12.140 ⇒ 00:58:14.680 Uttam Kumaran: Yeah, I used to… I used to have SoundCloud Pro for a while.
625 00:58:15.220 ⇒ 00:58:15.960 Hannah Wang: Hmm, but I was deep.
626 00:58:15.960 ⇒ 00:58:18.699 Uttam Kumaran: Jang in college, because otherwise you get ads.
627 00:58:19.720 ⇒ 00:58:20.720 Robert Tseng: Oh, GJ.
628 00:58:20.720 ⇒ 00:58:22.030 Hannah Wang: and college? I guess.
629 00:58:22.190 ⇒ 00:58:25.970 Uttam Kumaran: But no, like, I was more like… I’m more like aux DJ, I’m not, like, a real DJ.
630 00:58:25.970 ⇒ 00:58:27.919 Robert Tseng: That’s how Billie Eilish started.
631 00:58:27.920 ⇒ 00:58:28.420 Hannah Wang: Yeah.
632 00:58:28.420 ⇒ 00:58:29.670 Robert Tseng: futon, yeah.
633 00:58:30.190 ⇒ 00:58:35.980 Uttam Kumaran: I was just very opinionated over… I’m still very opinionated over… What music gets played.
634 00:58:36.300 ⇒ 00:58:38.019 Uttam Kumaran: at… things.
635 00:58:38.440 ⇒ 00:58:41.659 Uttam Kumaran: But… Yeah, that was, like, the extent.
636 00:58:42.360 ⇒ 00:58:46.220 Uttam Kumaran: But yeah, I was on SoundCloud Pro, so… and their product stinks.
637 00:58:46.660 ⇒ 00:58:47.949 Uttam Kumaran: Air product sucks.
638 00:58:48.790 ⇒ 00:58:50.260 Robert Tseng: Well, that’s 100%.
639 00:58:50.260 ⇒ 00:58:53.429 Uttam Kumaran: Completely, they’ve completely mismanaged that product.
640 00:58:54.130 ⇒ 00:58:56.709 Uttam Kumaran: Yeah, they could use a lot of help, I’m sure.
641 00:58:57.050 ⇒ 00:58:57.640 Robert Tseng: Yeah.
642 00:58:58.840 ⇒ 00:59:04.029 Uttam Kumaran: Build a home for, like, you know, for, like, really… for mixtapes and stuff like that, so…
643 00:59:04.350 ⇒ 00:59:05.050 Hannah Wang: Yeah.
644 00:59:06.900 ⇒ 00:59:11.350 Hannah Wang: There’s also two health people that I need your help with in their.
645 00:59:11.350 ⇒ 00:59:21.609 Robert Tseng: You know, let me see if I have any other meetings today, right now. I mean, I do what, like… okay, I honestly, I’m just gonna stay on, and I’m just gonna hang out on LinkedIn, and I’ll just, like.
646 00:59:21.760 ⇒ 00:59:25.339 Robert Tseng: look at people and talk about what I’m gonna say to them.
647 00:59:26.820 ⇒ 00:59:28.210 Robert Tseng: I don’t know, I wanna know how…
648 00:59:28.210 ⇒ 00:59:29.389 Uttam Kumaran: I wanna hang on, too.
649 00:59:29.670 ⇒ 00:59:31.239 Hannah Wang: Wait, what we are planning.
650 00:59:31.600 ⇒ 00:59:32.310 Hannah Wang: Or, I mean.
651 00:59:32.310 ⇒ 00:59:32.720 Uttam Kumaran: Oh.
652 00:59:32.720 ⇒ 00:59:35.179 Hannah Wang: The marketing tiny people are here, but, like.
653 00:59:35.180 ⇒ 00:59:38.160 Robert Tseng: Okay, alright, well, I’ll just be able to do.
654 00:59:38.160 ⇒ 00:59:41.680 Uttam Kumaran: Let’s just stay on, and then we’ll plan later, that’s fine.
655 00:59:42.670 ⇒ 00:59:44.370 Hannah Wang: Rico, can you tell Ryan?
656 00:59:45.700 ⇒ 00:59:47.770 Robert Tseng: Brian’s out of office for the next 5 days.
657 00:59:49.470 ⇒ 00:59:52.459 Hannah Wang: Oh, right. He’s out…
658 00:59:52.460 ⇒ 00:59:53.390 Rico Rejoso: next week.
659 00:59:54.090 ⇒ 00:59:55.270 Rico Rejoso: Next Monday, yeah.
660 00:59:55.450 ⇒ 00:59:56.090 Robert Tseng: Okay.
661 00:59:57.230 ⇒ 00:59:59.570 Robert Tseng: All right, I hope… I hope he takes care.
662 00:59:59.570 ⇒ 01:00:03.740 Uttam Kumaran: Yeah, let’s just stay… let’s just stay on. I’m just doing… I’m just doing sales stuff, too.
663 01:00:04.180 ⇒ 01:00:11.539 Hannah Wang: Okay, so Robert, share your screen, and just… I… I follow… I sent so many messages, and, like, I… yeah.
664 01:00:12.690 ⇒ 01:00:13.340 Robert Tseng: Yeah.
665 01:00:13.950 ⇒ 01:00:16.260 Hannah Wang: I also need to use the restroom, so…
666 01:00:16.260 ⇒ 01:00:20.980 Robert Tseng: Oh, yeah, yeah, this is… this is not rush. I mean, I’ll probably get bored of being on a screen within 30 minutes, so…
667 01:00:26.750 ⇒ 01:00:28.120 Robert Tseng: Oh, okay.
668 01:00:29.080 ⇒ 01:00:30.969 Robert Tseng: LinkedIn, people.
669 01:00:37.540 ⇒ 01:00:40.230 Uttam Kumaran: Why don’t you do auto? Why don’t you pick one of the SMEs to do?
670 01:00:45.170 ⇒ 01:00:47.170 Robert Tseng: Yeah. I’ll pop one of these.
671 01:01:13.350 ⇒ 01:01:16.460 Robert Tseng: Oh, the speed stuff’s not on, platform.
672 01:01:17.640 ⇒ 01:01:18.230 Uttam Kumaran: Well, that’s tough.
673 01:01:18.230 ⇒ 01:01:22.579 Robert Tseng: Not on… not on the forge. This meme… the SME.
674 01:01:25.600 ⇒ 01:01:26.110 Robert Tseng: Yes.
675 01:01:26.590 ⇒ 01:01:27.420 Uttam Kumaran: Could be.
676 01:01:28.220 ⇒ 01:01:29.910 Uttam Kumaran: Thought that’s a Hannah question.
677 01:01:38.940 ⇒ 01:01:40.649 Robert Tseng: Okay, whatever, she’ll… she’ll come back.
678 01:05:18.060 ⇒ 01:05:21.190 Robert Tseng: Okay, I’m just gonna blah blah blah,
679 01:05:21.990 ⇒ 01:05:29.179 Robert Tseng: interrupt me anytime, but otherwise… Okay, so these are your follow-ups, Hannah. I think, yeah, we were saying…
680 01:05:29.630 ⇒ 01:05:32.079 Robert Tseng: Talking to our girl Hope here, right?
681 01:05:32.700 ⇒ 01:05:33.360 Robert Tseng: Say.
682 01:05:36.280 ⇒ 01:05:44.479 Robert Tseng: Yeah, well, a lot I’ll say about Josh is, like, he created this website that’s basically… I don’t think they… he’s, like, a founder of Koframe.
683 01:05:45.030 ⇒ 01:05:51.710 Robert Tseng: I mean, interesting network. I think I’m well connected to him. There’s a lot of folks here that I think are worth connecting with, but…
684 01:05:51.930 ⇒ 01:05:54.640 Robert Tseng: I… I think he’s more…
685 01:06:09.000 ⇒ 01:06:15.379 Robert Tseng: These guys are, like, a conversion rate optimization tool. So, like, pretty much, they just, like.
686 01:06:16.090 ⇒ 01:06:24.830 Robert Tseng: They just take your landing page, and they just, like, change the words, and then they use some, like, code generation tool to, like.
687 01:06:25.200 ⇒ 01:06:28.519 Robert Tseng: Well, they just, like, change the color of your pages, so it’s just, like…
688 01:06:28.780 ⇒ 01:06:33.829 Robert Tseng: Yeah, that’s… that’s what they’re doing. I… I don’t really believe this tool’s gonna really be that…
689 01:06:34.190 ⇒ 01:06:35.920 Robert Tseng: That great, to be honest.
690 01:06:36.120 ⇒ 01:06:41.539 Robert Tseng: Yeah, so I just… I don’t really know if I see a path forward in working with them.
691 01:06:42.040 ⇒ 01:06:42.810 Hannah Wang: Okay. Awesome.
692 01:06:44.770 ⇒ 01:06:55.789 Robert Tseng: Yeah, they can work with all of these, like, cool companies, because they probably just went to them, and they were like, oh yeah, we’ll, like, just play around with landing pages for free. Like, it’s just like a… it’s kind of a gimmicky product, in my opinion.
693 01:06:56.250 ⇒ 01:07:07.850 Robert Tseng: So… and then this guy, like, Lulu Ko, like, I don’t know. To me, this is like a, like, one of those, like, like, toilets, make your toilet smell good, kind of, like, yeah, Poo-pourri, that’s what it is.
694 01:07:08.030 ⇒ 01:07:10.460 Robert Tseng: But, like, I don’t know, like,
695 01:07:10.960 ⇒ 01:07:21.230 Robert Tseng: kind of worth it, but, like, I would never pay $70 for one of these, like, I don’t know how big they are. Anyway, it’s like, not… I don’t really think they’re that big… they’re not big enough to really…
696 01:07:21.370 ⇒ 01:07:25.829 Robert Tseng: be worth… it, I think. I just think that there’s probably…
697 01:07:26.030 ⇒ 01:07:28.649 Robert Tseng: More juice to squeeze other places.
698 01:07:30.360 ⇒ 01:07:37.379 Robert Tseng: But, like, Mombas, this is a good account. The revenue is kind of in line. I would want to work with them.
699 01:07:38.450 ⇒ 01:07:44.840 Robert Tseng: I haven’t been doing… I haven’t done, like, Sales Nav research in a while, but, like, I would just be taking a look and be like.
700 01:07:44.950 ⇒ 01:07:46.519 Robert Tseng: Alright, well…
701 01:07:47.100 ⇒ 01:07:54.399 Robert Tseng: I want to work with Bombas, and… I don’t know, I’ll take a look at first and second degree connections, like, who do I know?
702 01:07:54.600 ⇒ 01:08:01.240 Robert Tseng: brand ops… Insights, interesting. Okay, that’s possible in.
703 01:08:02.970 ⇒ 01:08:04.600 Uttam Kumaran: We know Jessica Krantz.
704 01:08:06.020 ⇒ 01:08:09.570 Uttam Kumaran: She… she’s the wife of the guy from Plan Medicare.
705 01:08:10.900 ⇒ 01:08:11.400 Hannah Wang: Whoa.
706 01:08:11.400 ⇒ 01:08:13.120 Robert Tseng: Heck, so random.
707 01:08:13.750 ⇒ 01:08:14.130 Hannah Wang: Yeah.
708 01:08:14.130 ⇒ 01:08:14.800 Robert Tseng: Alright.
709 01:08:18.350 ⇒ 01:08:22.220 Uttam Kumaran: Yeah, so we have an inn if you have a play.
710 01:08:23.060 ⇒ 01:08:23.790 Robert Tseng: Okay.
711 01:08:24.710 ⇒ 01:08:26.889 Uttam Kumaran: And they liked our work, they just couldn’t afford it.
712 01:08:27.050 ⇒ 01:08:27.990 Uttam Kumaran: At the time.
713 01:08:28.430 ⇒ 01:08:30.000 Robert Tseng: That was Plan Medicare, right?
714 01:08:30.240 ⇒ 01:08:33.910 Uttam Kumaran: Yeah. So her husband runs Plan Medicaid, they kind of run it together.
715 01:08:35.170 ⇒ 01:08:35.890 Robert Tseng: Okay.
716 01:08:37.640 ⇒ 01:08:39.309 Robert Tseng: Oh, let’s take a look.
717 01:08:49.140 ⇒ 01:08:53.800 Robert Tseng: We have not been able to break into retail, or, like, apparel, I mean. It just…
718 01:08:54.729 ⇒ 01:08:56.279 Robert Tseng: This would be… this would be tough.
719 01:08:58.039 ⇒ 01:08:59.079 Robert Tseng: O?
720 01:09:00.029 ⇒ 01:09:01.379 Robert Tseng: Product analyst?
721 01:09:02.069 ⇒ 01:09:10.699 Robert Tseng: That’s, what do they use? Heap, optimistically… Sheep Looker… Site experimentation, pretty much.
722 01:09:13.149 ⇒ 01:09:18.419 Robert Tseng: Okay Hey, that’s actually… yeah, maybe. Who’s the hiring manager?
723 01:09:20.489 ⇒ 01:09:21.389 Robert Tseng: Look.
724 01:09:21.390 ⇒ 01:09:23.800 Uttam Kumaran: Yeah, I have a direct line to them, and they like this.
725 01:09:24.680 ⇒ 01:09:25.350 Robert Tseng: Okay.
726 01:09:38.460 ⇒ 01:09:39.210 Robert Tseng: Hmm.
727 01:09:40.930 ⇒ 01:09:41.740 Robert Tseng: Okay.
728 01:09:42.100 ⇒ 01:09:45.189 Robert Tseng: Well, yeah, I think I would just be like.
729 01:09:56.030 ⇒ 01:09:58.289 Robert Tseng: or Just Grants.
730 01:10:00.190 ⇒ 01:10:10.120 Robert Tseng: Message, like… Hey, saw that your team is hiring for… Biz.
731 01:10:11.330 ⇒ 01:10:14.789 Robert Tseng: Light of our colleagues, would love to connect.
732 01:10:15.630 ⇒ 01:10:17.620 Robert Tseng: Let’s see if we can help.
733 01:10:18.610 ⇒ 01:10:24.300 Robert Tseng: Well, okay, so I’ve obviously tagged Utah, but it’s really, like, who’s gonna send this message? Is it… it would probably be…
734 01:10:25.430 ⇒ 01:10:28.130 Robert Tseng: I mean, maybe it is Uzon. Okay, I’ll just…
735 01:10:31.850 ⇒ 01:10:34.120 Uttam Kumaran: Well, why don’t you just… why don’t we,
736 01:10:35.550 ⇒ 01:10:38.629 Uttam Kumaran: I mean, but, like, Hannah can draft this in my email.
737 01:10:39.080 ⇒ 01:10:41.830 Uttam Kumaran: And then I can just email this to her.
738 01:10:42.280 ⇒ 01:10:42.940 Robert Tseng: Yeah.
739 01:10:44.260 ⇒ 01:10:45.360 Uttam Kumaran: Yeah, that’s fine.
740 01:10:46.320 ⇒ 01:10:46.990 Robert Tseng: Okay.
741 01:10:54.790 ⇒ 01:10:58.069 Uttam Kumaran: That’s the easiest for me, because I, okay. Yeah.
742 01:11:02.530 ⇒ 01:11:03.290 Robert Tseng: Boom.
743 01:11:04.890 ⇒ 01:11:05.870 Robert Tseng: Pay.
744 01:11:14.120 ⇒ 01:11:15.410 Robert Tseng: Hope, hope, hope.
745 01:11:32.620 ⇒ 01:11:34.340 Hannah Wang: Oh, she reposted Scott.
746 01:11:34.920 ⇒ 01:11:35.580 Robert Tseng: Oh, yeah.
747 01:11:36.420 ⇒ 01:11:37.090 Hannah Wang: Oh.
748 01:11:37.420 ⇒ 01:11:38.970 Robert Tseng: Hey, and we know this dude, too.
749 01:11:38.970 ⇒ 01:11:40.780 Hannah Wang: Yeah. Oh, wow.
750 01:11:40.780 ⇒ 01:11:45.030 Robert Tseng: See? The world is small. We start to see the same people.
751 01:11:47.410 ⇒ 01:11:48.459 Uttam Kumaran: Oh, nice.
752 01:11:53.770 ⇒ 01:11:57.599 Hannah Wang: Oh, for Scott, are you okay with mid-November? I know you’re out, so…
753 01:11:58.500 ⇒ 01:12:01.130 Robert Tseng: Well, as long as it’s before I’m out, yeah, I’m sure it’s fine.
754 01:12:01.130 ⇒ 01:12:01.960 Hannah Wang: Okay.
755 01:12:44.120 ⇒ 01:12:45.540 Robert Tseng: Alright, I’m gonna add both of them.
756 01:12:47.960 ⇒ 01:12:49.749 Robert Tseng: Something about,
757 01:12:58.960 ⇒ 01:13:03.729 Robert Tseng: I’mma respond to both of them, and then link my comment to hope.
758 01:13:04.100 ⇒ 01:13:05.980 Hannah Wang: Oh, okay.
759 01:13:06.530 ⇒ 01:13:10.169 Robert Tseng: I just don’t know what I’m gonna say. I don’t really think I’m gonna be meaningful to contribute.
760 01:14:59.410 ⇒ 01:15:01.329 Robert Tseng: I’ll throw some shade at Avi.
761 01:15:20.880 ⇒ 01:15:23.169 Robert Tseng: I love LinkedIn beef, it’s the best.
762 01:15:25.320 ⇒ 01:15:32.050 Robert Tseng: Alright, now I just take this, and… Hey!
763 01:16:04.470 ⇒ 01:16:06.629 Robert Tseng: That looks kind of spammy.
764 01:16:07.690 ⇒ 01:16:08.380 Robert Tseng: I don’t know.
765 01:16:08.630 ⇒ 01:16:09.620 Robert Tseng: I hope it’ll…
766 01:16:16.260 ⇒ 01:16:18.270 Hannah Wang: Is it usually that long?
767 01:16:19.960 ⇒ 01:16:20.860 Hannah Wang: Whatever.
768 01:16:20.860 ⇒ 01:16:23.550 Robert Tseng: I’m not sure, but it might… it might look better.
769 01:16:25.810 ⇒ 01:16:28.050 Hannah Wang: You could send it to me to test it out.
770 01:16:29.700 ⇒ 01:16:31.539 Robert Tseng: It’s true. I could do that.
771 01:16:34.180 ⇒ 01:16:37.629 Hannah Wang: Do I even have you on LinkedIn? Are we even connected? Oh, okay.
772 01:16:38.330 ⇒ 01:16:39.060 Hannah Wang: Sure.
773 01:16:46.900 ⇒ 01:16:50.100 Robert Tseng: It’s fine, it kinda… at all.
774 01:16:50.910 ⇒ 01:16:53.120 Robert Tseng: LinkedIn is just LinkedIn. It’s fine.
775 01:17:05.220 ⇒ 01:17:08.869 Robert Tseng: What was she even saying here? I don’t even remember.
776 01:17:09.870 ⇒ 01:17:13.010 Robert Tseng: Some of your homeless, there’s parentheses.
777 01:17:42.070 ⇒ 01:17:43.820 Robert Tseng: Oh, this is big.
778 01:17:47.010 ⇒ 01:17:49.239 Robert Tseng: Man, I want our name to be on here.
779 01:17:51.250 ⇒ 01:17:52.120 Uttam Kumaran: The booth on there now.
780 01:17:52.120 ⇒ 01:17:52.900 Hannah Wang: Oh…
781 01:17:54.840 ⇒ 01:17:57.509 Robert Tseng: I mean, big names, I guess.
782 01:17:58.430 ⇒ 01:18:03.319 Uttam Kumaran: I don’t know, I don’t know who, like, I just, I know Treasure data, and I know iTouch, and I know.
783 01:18:03.320 ⇒ 01:18:03.950 Robert Tseng: And you know, man.
784 01:18:03.950 ⇒ 01:18:05.210 Uttam Kumaran: I guess MailChimp.
785 01:18:05.810 ⇒ 01:18:06.400 Robert Tseng: Yeah.
786 01:18:26.300 ⇒ 01:18:27.310 Robert Tseng: Oh.
787 01:18:27.600 ⇒ 01:18:29.580 Robert Tseng: some seminar.
788 01:18:29.880 ⇒ 01:18:32.749 Robert Tseng: Sure, we’ll go support our boy, Scott.
789 01:18:37.130 ⇒ 01:18:42.469 Robert Tseng: Some fireside chats… dang, okay, that’s pretty good. Alright.
790 01:19:11.760 ⇒ 01:19:13.690 Robert Tseng: Sure, send me all your ads.
791 01:19:14.930 ⇒ 01:19:16.519 Robert Tseng: I don’t mind.
792 01:19:17.270 ⇒ 01:19:19.759 Robert Tseng: Okay, where was I?
793 01:19:28.580 ⇒ 01:19:38.089 Robert Tseng: Lifecycle Marketing Technologist? Oh… Would that be something we would possibly support?
794 01:19:43.480 ⇒ 01:19:57.380 Robert Tseng: Hmm… I mean, this is pretty much what we do. Interesting, interesting, kind of… Cycling audiences, da-da-da-da…
795 01:20:00.210 ⇒ 01:20:02.570 Robert Tseng: Yeah, I don’t really think you’re gonna find someone.
796 01:20:05.760 ⇒ 01:20:07.330 Robert Tseng: Not for that rate, anyway.
797 01:20:08.950 ⇒ 01:20:10.800 Robert Tseng: Oh, fascinating.
798 01:20:10.990 ⇒ 01:20:11.900 Robert Tseng: Okay.
799 01:20:12.520 ⇒ 01:20:18.280 Robert Tseng: I want to pitch their Director of Lifecycle. This is a great opportunity.
800 01:20:18.570 ⇒ 01:20:23.150 Robert Tseng: Okay, so… Let’s go over here…
801 01:20:32.140 ⇒ 01:20:32.850 Robert Tseng: Okay.
802 01:20:33.020 ⇒ 01:20:36.950 Robert Tseng: Please finger…
803 01:21:43.240 ⇒ 01:21:46.229 Uttam Kumaran: Let’s get this CTA deal!
804 01:21:48.720 ⇒ 01:21:50.410 Uttam Kumaran: That’d be huge!
805 01:21:51.200 ⇒ 01:21:53.059 Robert Tseng: Is that the same thing as CES?
806 01:21:55.620 ⇒ 01:21:56.850 Robert Tseng: What’s CGA?
807 01:22:00.520 ⇒ 01:22:01.619 Hannah Wang: I think it’s the…
808 01:22:01.620 ⇒ 01:22:02.590 Uttam Kumaran: Yes, yeah.
809 01:22:03.010 ⇒ 01:22:03.680 Robert Tseng: Okay.
810 01:24:12.310 ⇒ 01:24:14.469 Robert Tseng: Okay, so kept that going.
811 01:24:16.420 ⇒ 01:24:17.300 Robert Tseng: Right.
812 01:24:17.790 ⇒ 01:24:18.700 Robert Tseng: Yeah.
813 01:24:21.450 ⇒ 01:24:27.470 Robert Tseng: So, yeah, I mean, I don’t know, how often do you really spend just, like, looking around and just seeing what people are doing? I mean, we’ve been kind of just…
814 01:24:27.900 ⇒ 01:24:35.200 Robert Tseng: fussing around for, like, 10-15 minutes, but I feel like I… I saw a couple interesting things that I could action on immediately, right? So…
815 01:24:35.200 ⇒ 01:24:35.790 Hannah Wang: Yeah.
816 01:24:35.810 ⇒ 01:24:47.520 Robert Tseng: Like, when I have, like, some of these strategic accounts, like, that I’m following, that’s what I want to do. I just want to go and pop in and see what they’re up to, and be able to, like, find a way to kind of keep… keep the conversation going.
817 01:24:47.910 ⇒ 01:24:49.510 Robert Tseng: Like…
818 01:24:49.510 ⇒ 01:24:50.150 Hannah Wang: Yeah, I mean, mine.
819 01:24:50.150 ⇒ 01:24:50.669 Robert Tseng: I don’t cook.
820 01:24:50.670 ⇒ 01:25:01.920 Hannah Wang: has been on following up with all those people, so I haven’t… I haven’t done, like, super strategic stuff yet, except for, like, when I briefly scroll sometimes, like, that Jack dude.
821 01:25:02.130 ⇒ 01:25:07.670 Hannah Wang: I was just like, why not, like, congratulate him? So, like, stuff like that, I kind of do sometimes. Oh, that was you?
822 01:25:07.670 ⇒ 01:25:22.159 Robert Tseng: Okay, great. Yeah, I mean, so, like, that’s… that’s the stuff that I feel like you should be doing in terms of… I mean, anything that’s just, like, routine, like, executing playbooks, like, I don’t feel like you need to be doing that, like, I… I want you out of that so you can… you can…
823 01:25:22.180 ⇒ 01:25:32.259 Robert Tseng: be a little bit more creative on, like, this stuff. Like, I… I know at the call earlier, I mean, you’re… you’re answering on behalf of Ryan, like, I’m asking him questions, I want him to get involved and, like, really.
824 01:25:32.260 ⇒ 01:25:32.630 Hannah Wang: method.
825 01:25:32.630 ⇒ 01:25:36.640 Robert Tseng: Again, the implications of, like, what he’s doing or not doing.
826 01:25:36.770 ⇒ 01:25:42.140 Robert Tseng: But, like, I don’t know, like, I… whatever. This could be a separate conversation, but…
827 01:25:42.550 ⇒ 01:25:45.509 Hannah Wang: Okay. I mean, yeah, so, like, Mofu, I…
828 01:25:45.910 ⇒ 01:25:51.190 Hannah Wang: That is just, like, all the follow-up stuff, like… You think he…
829 01:25:51.460 ⇒ 01:26:03.260 Hannah Wang: should take that over, like, the sequence stuff. I know he tried to build, like, an auto… or he asked me about the flow, so, like, I don’t know if he’s building, like, an automation or something for it, but…
830 01:26:03.690 ⇒ 01:26:13.060 Uttam Kumaran: Yeah, I don’t know, I guess what we’re seeing is, like, we don’t even need the automat… like, it’s not worth automating this. It’s just worth… we just need a couple of these to go, like, daily.
831 01:26:13.170 ⇒ 01:26:22.190 Uttam Kumaran: And that’s the thing, I don’t think he even grasped… I don’t think he can grasp, like, exactly what we’re doing, and so he’s trying to automate without having a fundamental understanding of, like.
832 01:26:22.810 ⇒ 01:26:26.420 Uttam Kumaran: the things, so… I… for me, I’m like…
833 01:26:26.810 ⇒ 01:26:30.000 Uttam Kumaran: I’ve tried to… I’m trying to move his scope more to things that…
834 01:26:30.410 ⇒ 01:26:35.590 Uttam Kumaran: that don’t require this level of… I mean, I don’t even think there’s a lot of detail, but it… you know…
835 01:26:35.840 ⇒ 01:26:38.450 Uttam Kumaran: I think that’s been a struggle.
836 01:26:39.520 ⇒ 01:26:44.790 Robert Tseng: I still think we need one more person to do… to do this, who’s just doing messaging.
837 01:26:44.790 ⇒ 01:26:45.570 Uttam Kumaran: Yeah, yeah.
838 01:26:46.220 ⇒ 01:26:46.900 Robert Tseng: Yeah.
839 01:26:49.880 ⇒ 01:26:55.199 Hannah Wang: I could do it for now, but most of my time is just, like, the Mofu. Like, I don’t…
840 01:26:55.530 ⇒ 01:27:03.440 Hannah Wang: I’m not super strategic when I do that, and it takes a long time, like, it’s just all manual, like, looking through all the lists and hitting them up, so…
841 01:27:03.590 ⇒ 01:27:04.080 Hannah Wang: -
842 01:27:04.080 ⇒ 01:27:04.790 Robert Tseng: Yeah.
843 01:27:06.640 ⇒ 01:27:07.500 Hannah Wang: Okay.
844 01:27:07.500 ⇒ 01:27:10.499 Robert Tseng: I still… I still think we need to get someone. Okay.
845 01:27:11.530 ⇒ 01:27:15.279 Uttam Kumaran: I mean, yeah, dude, I think we need to get some… I just, like.
846 01:27:15.280 ⇒ 01:27:22.940 Robert Tseng: You don’t want to give the, like, what, like, the, the growth assistant folks another look?
847 01:27:24.130 ⇒ 01:27:25.780 Uttam Kumaran: No, I would.
848 01:27:25.780 ⇒ 01:27:30.669 Robert Tseng: someone to, like, train and vet the person before they, like, pass them to us, right?
849 01:27:30.670 ⇒ 01:27:39.119 Uttam Kumaran: I mean, we should talk… we should talk about… I’m… I’m still game for it, we just haven’t talked… we haven’t talked… we haven’t talked about it last two weeks, so… we’ll talk later today, yeah. I’m still game.
850 01:27:39.120 ⇒ 01:27:39.540 Robert Tseng: Okay.
851 01:27:39.540 ⇒ 01:27:47.160 Uttam Kumaran: if we could just narrow down which one we need, then I’ll… I’m down to engage with them. Like, I think we have a couple of recruiting decisions to make today, so that’s…
852 01:27:47.490 ⇒ 01:27:48.150 Robert Tseng: Yeah.
853 01:27:48.550 ⇒ 01:27:49.180 Uttam Kumaran: Yeah.
854 01:27:52.600 ⇒ 01:27:59.209 Robert Tseng: Yeah, we need… we need one of the… and we need, like, two more RICOs, and then we’re… and then we will be great.
855 01:27:59.520 ⇒ 01:28:01.410 Uttam Kumaran: Yeah, no, I mean, Ricoh is, like, 10X.
856 01:28:01.410 ⇒ 01:28:10.500 Robert Tseng: There are a few people that I would want to clone on this team, but Rico is definitely one of them. Yes.
857 01:28:11.270 ⇒ 01:28:14.999 Uttam Kumaran: Yeah, for me, it’s everybody on this call that needs to get cloned.
858 01:28:15.200 ⇒ 01:28:16.740 Robert Tseng: 10 times.
859 01:28:19.150 ⇒ 01:28:19.790 Robert Tseng: Okay.
860 01:28:20.560 ⇒ 01:28:21.590 Robert Tseng: Yeah.
861 01:28:21.590 ⇒ 01:28:33.570 Hannah Wang: Yeah, like, a bulk of the follow-up people, like, a bulk of the message… like, Adweek and, like, all those are bigger conferences, so I feel like the ones that are more recent are smaller, so hopefully I’ll have time to, like.
862 01:28:33.570 ⇒ 01:28:34.969 Robert Tseng: The volume will drop, yeah.
863 01:28:34.970 ⇒ 01:28:35.500 Hannah Wang: Yeah.
864 01:28:35.500 ⇒ 01:28:42.379 Robert Tseng: I get it, I mean, there’s gonna be some weeks where you just, like, get… you put on some music, you get into a funk, and then you just, like, knock out, like, 30.
865 01:28:42.380 ⇒ 01:28:44.900 Uttam Kumaran: Grind. He’s grinding.
866 01:28:45.350 ⇒ 01:28:48.970 Robert Tseng: Yeah, you should probably do that, like… Yeah, I mean, I…
867 01:28:48.970 ⇒ 01:28:58.639 Uttam Kumaran: This used to be half my day. This used to be all I did for 3 months. This is all I did for 3 months, was just call and text every person I’ve ever met in my life.
868 01:28:58.640 ⇒ 01:29:00.170 Robert Tseng: Yeah.
869 01:29:00.290 ⇒ 01:29:00.969 Uttam Kumaran: Just like it.
870 01:29:00.970 ⇒ 01:29:09.710 Robert Tseng: I manually pitched on dozens of Upwork, and I jobbed… I mean, I just… I just, like… yeah. I was, like, 50…
871 01:29:10.090 ⇒ 01:29:20.670 Robert Tseng: 50 outbound, like, job application things a week. That was my target. I’m, like, satisfied with the teams hitting 20 up work posts a week, but, like, I was just…
872 01:29:21.140 ⇒ 01:29:26.240 Robert Tseng: whatever, just throwing everything out there, so… Anyway, like, we get it, like, it’s a grind.
873 01:29:27.240 ⇒ 01:29:30.989 Hannah Wang: I mean, I don’t… I don’t mind doing it, I’m just… I’ll just keep doing it. Like, it’s…
874 01:29:30.990 ⇒ 01:29:34.700 Robert Tseng: No, I’m on. I don’t want… I do not want you to be doing that.
875 01:29:34.700 ⇒ 01:29:36.379 Uttam Kumaran: No, no, I don’t want you to do it.
876 01:29:36.380 ⇒ 01:29:37.040 Robert Tseng: I thought about it.
877 01:29:37.840 ⇒ 01:29:44.029 Robert Tseng: And you’re like, oh, no, I haven’t, because I’ve only been pressing buttons, and it’s like, well, that’s…
878 01:29:44.030 ⇒ 01:29:49.670 Hannah Wang: I don’t like to hear that either. So, do you want me to stop doing it? Because I can, and I could…
879 01:29:49.670 ⇒ 01:29:51.170 Robert Tseng: No, no, I mean, well, it’s gotta be…
880 01:29:51.170 ⇒ 01:29:51.660 Hannah Wang: Someone’s…
881 01:29:51.880 ⇒ 01:29:56.170 Uttam Kumaran: I think keep doing it, and then we’re gonna find… we’re gonna find someone to come down.
882 01:29:56.170 ⇒ 01:30:05.820 Robert Tseng: The volume fluctuates based on the, the events, right? The big events will give you 100 people, but the average event will give you, like, 20…
883 01:30:06.610 ⇒ 01:30:12.649 Robert Tseng: So, like, I think it’s okay, yeah. Yeah, it’s not like we’re hit… we’re going to all these massive events.
884 01:30:12.870 ⇒ 01:30:14.080 Hannah Wang: Yeah.
885 01:30:15.880 ⇒ 01:30:23.060 Hannah Wang: Okay, well, yeah, I’ll keep doing the more strategic… like, I sometimes scroll through your LinkedIn and just look for stuff, so,
886 01:30:23.590 ⇒ 01:30:25.770 Hannah Wang: I’ll just keep doing that. Yeah.
887 01:30:25.770 ⇒ 01:30:28.219 Robert Tseng: Anything else that I didn’t, cover on this?
888 01:30:28.700 ⇒ 01:30:31.180 Hannah Wang: The health people. Health USA.
889 01:30:31.880 ⇒ 01:30:37.380 Robert Tseng: Oh, well, Debra, I’ve talked to you on… on Wednesday. Yeah, I’ve been, like, trying to…
890 01:30:38.630 ⇒ 01:30:39.380 Robert Tseng: like…
891 01:30:39.830 ⇒ 01:30:48.259 Robert Tseng: I understand her, like, background, and so I’m trying to, like, mentally prepare myself for that conversation. She invests in, like.
892 01:30:48.490 ⇒ 01:30:49.100 Hannah Wang: Yeah.
893 01:30:49.540 ⇒ 01:30:57.310 Robert Tseng: whatever. Anyway, so this is… I’ll be ready to talk to Debra, like, after reading through a couple articles, like, I feel like I have enough to say.
894 01:30:57.310 ⇒ 01:30:57.960 Hannah Wang: Okay.
895 01:30:57.960 ⇒ 01:30:59.339 Robert Tseng: But yeah, yeah, the other people…
896 01:30:59.340 ⇒ 01:31:04.980 Hannah Wang: There’s two other people. They’re not in our ICP, but I was just like, how would you go about,
897 01:31:05.450 ⇒ 01:31:06.100 Hannah Wang: these.
898 01:31:06.100 ⇒ 01:31:06.630 Robert Tseng: Alright.
899 01:31:06.630 ⇒ 01:31:07.690 Hannah Wang: I guess.
900 01:31:08.310 ⇒ 01:31:09.510 Robert Tseng: Alright, Rosa.
901 01:31:10.200 ⇒ 01:31:16.210 Robert Tseng: What’s up, Rosa? Oh… AI and nursing?
902 01:31:16.400 ⇒ 01:31:17.060 Robert Tseng: Oh.
903 01:31:17.060 ⇒ 01:31:19.169 Hannah Wang: She was, like, a podcast host.
904 01:31:19.170 ⇒ 01:31:20.890 Robert Tseng: March, I’ve been…
905 01:31:21.920 ⇒ 01:31:22.480 Hannah Wang: Yeah.
906 01:31:22.480 ⇒ 01:31:23.240 Robert Tseng: Consulting.
907 01:31:25.830 ⇒ 01:31:30.260 Robert Tseng: Media consultant, podcaster… oof.
908 01:31:31.430 ⇒ 01:31:37.189 Robert Tseng: I… Yeah, sure, I’ll just respond with a nice message.
909 01:31:39.900 ⇒ 01:31:43.710 Robert Tseng: Hello! Sorry, I missed your messes.
910 01:31:43.920 ⇒ 01:31:45.020 Robert Tseng: Message.
911 01:31:45.230 ⇒ 01:31:47.300 Robert Tseng: Hope you had a great time.
912 01:31:47.520 ⇒ 01:31:51.750 Robert Tseng: I wasn’t at the AI nursing session.
913 01:31:53.130 ⇒ 01:31:56.770 Robert Tseng: I was more interested in the longevity.
914 01:31:57.720 ⇒ 01:31:58.770 Robert Tseng: topic.
915 01:32:06.740 ⇒ 01:32:11.740 Robert Tseng: Would still be down to, patch… to…
916 01:32:16.010 ⇒ 01:32:19.900 Robert Tseng: Curious to learn, to share.
917 01:32:20.110 ⇒ 01:32:25.420 Robert Tseng: Curious to compare notes and… Learn.
918 01:32:26.130 ⇒ 01:32:31.900 Robert Tseng: Anita, where’d you… GBF.
919 01:32:33.080 ⇒ 01:32:34.140 Robert Tseng: Recall?
920 01:32:36.000 ⇒ 01:32:37.110 Hannah Wang: Okay, cool.
921 01:32:37.540 ⇒ 01:32:38.210 Robert Tseng: Bam.
922 01:32:38.730 ⇒ 01:32:40.750 Hannah Wang: Okay, last one, Roger.
923 01:32:41.680 ⇒ 01:32:44.529 Robert Tseng: Roger! Roger, Roger, Roger!
924 01:32:45.760 ⇒ 01:32:47.540 Robert Tseng: What’s up, Roger?
925 01:32:47.920 ⇒ 01:32:54.200 Robert Tseng: Anytime! Sidecar Health.
926 01:32:55.300 ⇒ 01:33:00.079 Robert Tseng: Nice looking dude. Servant leadership, possible Christian.
927 01:33:00.590 ⇒ 01:33:02.270 Hannah Wang: Nice.
928 01:33:02.690 ⇒ 01:33:04.200 Robert Tseng: What is Sidecar Health?
929 01:33:05.220 ⇒ 01:33:05.730 Hannah Wang: insurance.
930 01:33:05.730 ⇒ 01:33:07.250 Robert Tseng: Oh, LA!
931 01:33:08.090 ⇒ 01:33:09.760 Robert Tseng: Insurance. Oof.
932 01:33:10.330 ⇒ 01:33:12.100 Robert Tseng: We don’t have insurance.
933 01:33:12.100 ⇒ 01:33:13.090 Hannah Wang: Yeah, we don’t.
934 01:33:13.090 ⇒ 01:33:13.650 Robert Tseng: late.
935 01:33:13.840 ⇒ 01:33:19.090 Robert Tseng: But we have something insurance-related, don’t we? So why don’t we send him… shoot him an insurance thing?
936 01:33:20.240 ⇒ 01:33:20.600 Hannah Wang: Yep.
937 01:33:20.600 ⇒ 01:33:24.250 Robert Tseng: How do I… Didn’t you… isn’t there a speed thing on insurance?
938 01:33:25.380 ⇒ 01:33:28.920 Hannah Wang: Oh, it’s not uploaded, but I can upload it.
939 01:33:29.280 ⇒ 01:33:30.130 Hannah Wang: Yeah.
940 01:33:30.130 ⇒ 01:33:31.549 Robert Tseng: How do I… how do I find it?
941 01:33:32.540 ⇒ 01:33:35.299 Hannah Wang: I will send you the PDF, and I will message him.
942 01:33:36.090 ⇒ 01:33:36.850 Hannah Wang: I can do that.
943 01:33:37.610 ⇒ 01:33:43.080 Robert Tseng: Yeah, it’d be like… Sorry to miss you.
944 01:33:43.340 ⇒ 01:33:44.790 Hannah Wang: Okay, yeah.
945 01:33:45.280 ⇒ 01:33:46.360 Robert Tseng: Okay, well…
946 01:33:46.360 ⇒ 01:33:48.750 Hannah Wang: DM me. Okay, yeah, sure.
947 01:33:48.750 ⇒ 01:33:51.939 Robert Tseng: Yeah. Yeah, just, just, just send them our thing, yeah.
948 01:33:51.940 ⇒ 01:33:52.640 Hannah Wang: Okay, sure.
949 01:33:52.640 ⇒ 01:33:53.360 Robert Tseng: Say goodbye.
950 01:33:53.360 ⇒ 01:33:54.480 Hannah Wang: Okay.
951 01:33:54.480 ⇒ 01:33:54.810 Robert Tseng: Yeah.
952 01:33:55.800 ⇒ 01:33:56.860 Hannah Wang: Alright.
953 01:34:01.480 ⇒ 01:34:02.360 Robert Tseng: Cool.
954 01:34:02.630 ⇒ 01:34:08.839 Robert Tseng: I know that there are some other… I wanna kinda… Yeah, I might just, like…
955 01:34:09.050 ⇒ 01:34:15.179 Robert Tseng: Oh man, I keep saying I’m gonna sit down and just go through my LinkedIn messages, but it is a drag.
956 01:34:15.840 ⇒ 01:34:19.970 Hannah Wang: I mean, a ton of them, a ton of them are the.
957 01:34:19.970 ⇒ 01:34:20.790 Robert Tseng: from the legal.
958 01:34:20.790 ⇒ 01:34:22.670 Hannah Wang: Yeah. Yes, yep.
959 01:34:24.440 ⇒ 01:34:25.110 Robert Tseng: Yeah.
960 01:34:25.900 ⇒ 01:34:27.590 Robert Tseng: Oh, she responded.
961 01:34:27.970 ⇒ 01:34:28.900 Robert Tseng: -Oh.
962 01:34:29.570 ⇒ 01:34:30.390 Robert Tseng: Great.
963 01:34:30.930 ⇒ 01:34:35.430 Robert Tseng: Yeah, I actually want to work with them. They’re, like, an ed tech, venture fund.
964 01:34:35.430 ⇒ 01:34:36.420 Hannah Wang: Oh.
965 01:34:37.440 ⇒ 01:34:40.340 Robert Tseng: Yeah, and Kyrgyzstan connection, so why not?
966 01:34:42.400 ⇒ 01:34:43.250 Robert Tseng: Okay.
967 01:34:43.250 ⇒ 01:34:45.780 Hannah Wang: Okay. You go through it, like.
968 01:34:45.780 ⇒ 01:34:46.340 Robert Tseng: Oh, yeah.
969 01:34:46.340 ⇒ 01:34:46.740 Hannah Wang: A lot.
970 01:34:46.740 ⇒ 01:34:53.530 Robert Tseng: Okay, I’m gonna go through them. Oh, okay. Yeah, you need to. I’m gonna do that for the next 20 minutes. All right.
971 01:34:53.760 ⇒ 01:34:54.600 Hannah Wang: Okay.
972 01:34:54.600 ⇒ 01:34:58.219 Robert Tseng: I mean, I’ll stay on, up to you, if you want to jump on or off.
973 01:34:58.780 ⇒ 01:35:01.119 Hannah Wang: I can stay, sure.
974 01:35:01.550 ⇒ 01:35:03.880 Robert Tseng: Okay. I’ll just see how you do this.
975 01:35:04.070 ⇒ 01:35:07.859 Hannah Wang: And learn. Beep. Become Robert.
976 01:35:08.600 ⇒ 01:35:11.970 Robert Tseng: There’s nothing… it’s nothing to learn. Don’t do it the way I’m doing it.
977 01:35:11.970 ⇒ 01:35:21.800 Hannah Wang: I know how to do it for my own personal stuff, but yeah, again, getting over that barrier of talking for you is hard, but…
978 01:35:22.810 ⇒ 01:35:23.520 Robert Tseng: Oh.
979 01:35:26.790 ⇒ 01:35:33.539 Robert Tseng: Okay, well… What availability do I have for her?
980 01:35:34.330 ⇒ 01:35:36.880 Robert Tseng: This looks pretty rough this week.
981 01:35:39.880 ⇒ 01:35:46.369 Robert Tseng: Hmm… Oh, yeah, I’m sure Friday. I’ll talk to you Friday.
982 01:35:50.180 ⇒ 01:35:51.369 Robert Tseng: Let’s go…
983 01:35:55.410 ⇒ 01:35:59.240 Robert Tseng: think I could do… Biss.
984 01:37:24.710 ⇒ 01:37:31.870 Robert Tseng: Market research… $100 for 25 minutes?
985 01:37:34.580 ⇒ 01:37:39.030 Robert Tseng: Is there a business opportunity here? Working with MoEngage?
986 01:37:39.380 ⇒ 01:37:42.320 Robert Tseng: It did go to your… Ding.
987 01:37:46.360 ⇒ 01:37:49.450 Robert Tseng: You know, I’m interested.
988 01:38:00.080 ⇒ 01:38:04.550 Robert Tseng: Yeah, I want to steal your notes, actually. I would be interested. Sure.
989 01:38:05.950 ⇒ 01:38:06.840 Robert Tseng: Duh.
990 01:38:07.230 ⇒ 01:38:11.810 Robert Tseng: $100 is not a bad… Not a bad thing.
991 01:38:25.160 ⇒ 01:38:28.320 Robert Tseng: Yeah, but I don’t want to talk to you this week, so…
992 01:38:28.770 ⇒ 01:38:29.600 Hannah Wang: Whoa.
993 01:38:33.240 ⇒ 01:38:34.199 Robert Tseng: Why is that law?
994 01:38:36.270 ⇒ 01:38:37.370 Hannah Wang: Relatable.
995 01:38:38.680 ⇒ 01:38:40.699 Robert Tseng: I don’t want to talk to you this week.
996 01:38:41.460 ⇒ 01:38:46.960 Hannah Wang: like, not wanting to talk to certain people this week, because it’s tiring.
997 01:38:47.330 ⇒ 01:38:50.359 Hannah Wang: Like, spacing out based on your capacity.
998 01:38:53.220 ⇒ 01:38:57.619 Robert Tseng: Yeah, I could do that. I just won’t be able to nap at 2.30 next week instead.
999 01:38:57.980 ⇒ 01:38:59.390 Robert Tseng: Okay, it’s fine.
1000 01:39:00.830 ⇒ 01:39:02.649 Robert Tseng: Oh, Atmos wrote her name.
1001 01:39:08.470 ⇒ 01:39:12.630 Robert Tseng: Sounds good. I’m excited to hear about how
1002 01:39:13.280 ⇒ 01:39:18.510 Robert Tseng: your team thinks about the CX stack as well.
1003 01:39:19.290 ⇒ 01:39:22.290 Robert Tseng: wrap time for my day.
1004 01:39:24.440 ⇒ 01:39:26.579 Robert Tseng: November 3rd? Boo.
1005 01:39:26.920 ⇒ 01:39:28.200 Robert Tseng: I might not be there.
1006 01:39:29.210 ⇒ 01:39:30.690 Robert Tseng: I’m actually…
1007 01:39:32.560 ⇒ 01:39:36.330 Robert Tseng: Okay, well, it’s not guaranteed. I’ll just book it, and I can move it if I need to.
1008 01:39:37.660 ⇒ 01:39:39.190 Hannah Wang: There you go.
1009 01:39:43.660 ⇒ 01:39:45.510 Robert Tseng: Oh, blessed!
1010 01:39:48.600 ⇒ 01:39:49.940 Robert Tseng: Note taker.
1011 01:39:50.280 ⇒ 01:39:50.990 Robert Tseng: Sorry.
1012 01:39:51.380 ⇒ 01:39:54.809 Robert Tseng: Okay, this actually might be… this might be cool.
1013 01:39:55.080 ⇒ 01:40:00.570 Robert Tseng: Hey, Rachel! I got a,
1014 01:40:01.620 ⇒ 01:40:05.070 Robert Tseng: Oh, they want me to pay $100 for the conference.
1015 01:40:05.380 ⇒ 01:40:07.550 Robert Tseng: But it’ll cover travel and lodging.
1016 01:40:08.040 ⇒ 01:40:09.050 Robert Tseng: Can I go?
1017 01:40:09.550 ⇒ 01:40:10.610 Robert Tseng: to DC.
1018 01:40:12.230 ⇒ 01:40:15.129 Robert Tseng: Sunday night, and then I would come back Tuesday.
1019 01:40:20.670 ⇒ 01:40:21.400 Robert Tseng: Okay.
1020 01:40:21.400 ⇒ 01:40:21.960 Hannah Wang: Yeah, it’s like a…
1021 01:40:21.960 ⇒ 01:40:25.980 Robert Tseng: a faith… it’s like a faith and AI conference thing.
1022 01:40:26.490 ⇒ 01:40:27.350 Hannah Wang: Oh.
1023 01:40:28.850 ⇒ 01:40:32.209 Robert Tseng: Yeah, so… I’m trying to, you know.
1024 01:40:34.120 ⇒ 01:40:36.529 Hannah Wang: Get all the pre… calm people.
1025 01:40:36.530 ⇒ 01:40:49.139 Robert Tseng: Yeah, like, I… I don’t wanna be… I don’t want any more CPG clients, Hannah, I don’t want any more SaaS clients, or I mean, okay, I’m fine with those, but I wanna, you know, if you’re gonna be doing the sequence, like, go hit up the Christians, go find.
1026 01:40:49.140 ⇒ 01:40:49.790 Hannah Wang: Sure, sure.
1027 01:40:50.900 ⇒ 01:40:54.140 Hannah Wang: Planning Center, Bible Dwell, Bible.
1028 01:40:54.140 ⇒ 01:41:01.740 Robert Tseng: I still believe Planning Center is, like, golden for us, and, like, we can… Yeah, anyway, so…
1029 01:41:03.230 ⇒ 01:41:10.510 Robert Tseng: So, yeah, I’m okay if you, like, drop the ball, and, like, some people, you pull up their profile, if you’re just like, then, like, whatever, just skip them.
1030 01:41:10.640 ⇒ 01:41:11.150 Robert Tseng: You know.
1031 01:41:12.070 ⇒ 01:41:15.800 Robert Tseng: I do that all the time, like, it’s just… that’s just how it is.
1032 01:41:15.800 ⇒ 01:41:16.430 Hannah Wang: Yes.
1033 01:41:17.090 ⇒ 01:41:21.149 Robert Tseng: Okay. Alright, well, then I will not be able to do November 3rd.
1034 01:41:22.800 ⇒ 01:41:25.509 Robert Tseng: Oh, but he’s asking me to be a note-taker?
1035 01:41:26.410 ⇒ 01:41:35.250 Robert Tseng: A soft-touch moderator. A moderator I’m willing to do, that always leads to good connections. A note-taker is not my strength. I will just AI it.
1036 01:41:35.620 ⇒ 01:41:36.780 Robert Tseng: So…
1037 01:41:37.060 ⇒ 01:41:39.870 Hannah Wang: Like, typing what they talk about.
1038 01:41:41.410 ⇒ 01:41:45.900 Robert Tseng: It’s okay. They can’t rely on me. I’m just gonna do a bad job taking notes.
1039 01:41:46.560 ⇒ 01:41:49.269 Hannah Wang: I’m a great note-taker. I can do it.
1040 01:41:49.950 ⇒ 01:41:50.930 Robert Tseng: I don’t know.
1041 01:41:53.360 ⇒ 01:41:54.560 Hannah Wang: That’s next Sunday.
1042 01:41:55.350 ⇒ 01:41:55.990 Hannah Wang: The Tuesday?
1043 01:41:55.990 ⇒ 01:41:57.699 Robert Tseng: Yeah, November 3rd.
1044 01:42:02.990 ⇒ 01:42:04.240 Hannah Wang: DC.
1045 01:42:07.280 ⇒ 01:42:13.749 Robert Tseng: Alright, let me, quickly respond to this dude.
1046 01:42:20.580 ⇒ 01:42:21.690 Robert Tseng: Hi, Ray!
1047 01:42:22.170 ⇒ 01:42:28.460 Robert Tseng: Thanks for the… offer buying down to…
1048 01:42:39.190 ⇒ 01:42:41.340 Hannah Wang: So, are all these people Christian?
1049 01:42:41.960 ⇒ 01:42:43.199 Hannah Wang: Going to the concert.
1050 01:42:43.200 ⇒ 01:42:44.030 Robert Tseng: No idea.
1051 01:42:44.150 ⇒ 01:42:45.469 Robert Tseng: I have no idea.
1052 01:42:45.720 ⇒ 01:42:46.490 Hannah Wang: Okay.
1053 01:42:48.110 ⇒ 01:42:49.930 Robert Tseng: multi-faith panel.
1054 01:42:50.520 ⇒ 01:42:57.270 Robert Tseng: I don’t think it’s about… I don’t think it’s a Christian, completely Christian thing. AGI, humanity’s Future.
1055 01:42:58.780 ⇒ 01:43:06.870 Robert Tseng: FCRD… Ready King… Sweet Let me see…
1056 01:43:07.090 ⇒ 01:43:10.399 Robert Tseng: The International Center for Religion and Diplomacy.
1057 01:43:10.890 ⇒ 01:43:13.340 Hannah Wang: Oh… I see.
1058 01:43:14.550 ⇒ 01:43:16.329 Robert Tseng: I don’t really know what they do.
1059 01:43:16.800 ⇒ 01:43:26.639 Robert Tseng: But I’m down to go to DC, and, like, maybe I should do a little activation around DC, and just dip from this conference and go and meet up with people in DC.
1060 01:43:27.310 ⇒ 01:43:30.159 Hannah Wang: Wait, does Bozzie live in D… where does he live?
1061 01:43:30.160 ⇒ 01:43:31.919 Robert Tseng: He does live in DC, yes!
1062 01:43:31.920 ⇒ 01:43:36.720 Hannah Wang: Yeah, you can see Jer… what’s his… Micah? What’s… what’s his name? .
1063 01:43:36.720 ⇒ 01:43:38.039 Robert Tseng: I forgot.
1064 01:43:38.040 ⇒ 01:43:38.570 Hannah Wang: Malachi?
1065 01:43:38.570 ⇒ 01:43:39.369 Robert Tseng: But yes.
1066 01:43:40.220 ⇒ 01:43:43.750 Hannah Wang: Mmm… Thanks.
1067 01:43:49.360 ⇒ 01:43:55.990 Robert Tseng: Oh, this is where I have to share the takeaways, if I were to be a quote-unquote soft-touch moderator.
1068 01:43:56.880 ⇒ 01:44:02.160 Robert Tseng: I mean, I’m down, like… Sounds awesome, like, why not?
1069 01:44:02.870 ⇒ 01:44:03.560 Hannah Wang: Yeah.
1070 01:44:04.500 ⇒ 01:44:05.180 Robert Tseng: Okay.
1071 01:44:05.350 ⇒ 01:44:07.439 Robert Tseng: Sure, I wanna be around…
1072 01:44:07.960 ⇒ 01:44:11.310 Robert Tseng: I don’t… I mean, I don’t know, I literally have no idea what to expect.
1073 01:44:11.830 ⇒ 01:44:12.560 Robert Tseng: Okay.
1074 01:44:14.270 ⇒ 01:44:17.279 Hannah Wang: I thought you weren’t spending time away from Rachel anymore.
1075 01:44:19.350 ⇒ 01:44:22.050 Robert Tseng: This is kind of spending time away from you, Rachel.
1076 01:44:22.620 ⇒ 01:44:23.440 Robert Tseng: Yeah?
1077 01:44:25.770 ⇒ 01:44:26.120 Robert Tseng: -Oh.
1078 01:44:27.470 ⇒ 01:44:29.570 Hannah Wang: - take her with you.
1079 01:44:30.630 ⇒ 01:44:32.759 Robert Tseng: Do you want to come, Rachel? We have a hotel.
1080 01:44:35.380 ⇒ 01:44:38.610 Robert Tseng: Okay, whatever, I’ll figure this out, Rachel. This is not something we have.
1081 01:44:38.610 ⇒ 01:44:38.960 Hannah Wang: Okay.
1082 01:44:38.960 ⇒ 01:44:39.640 Robert Tseng: about now.
1083 01:44:42.010 ⇒ 01:44:47.010 Robert Tseng: Is it actually Christian? Why does it matter? You’re not going to the conference, you’re just coming with me to DC.
1084 01:44:51.850 ⇒ 01:44:53.370 Robert Tseng: Well, I’ll pass you food.
1085 01:44:55.970 ⇒ 01:45:00.869 Robert Tseng: Okay, we can talk, we can discuss this. The point is that you have housing. Isn’t that the most important thing anyway?
1086 01:45:01.520 ⇒ 01:45:02.350 Robert Tseng: Okay.
1087 01:45:02.690 ⇒ 01:45:08.310 Robert Tseng: Yeah, it’s not like an exploding author, I don’t need to respond right now.
1088 01:45:08.840 ⇒ 01:45:12.430 Robert Tseng: Grab time for Monday, 11.3.
1089 01:45:13.800 ⇒ 01:45:16.010 Robert Tseng: Matt, I will probably move. Okay.
1090 01:45:16.160 ⇒ 01:45:18.570 Robert Tseng: Ezzy. Oh, what’s up?
1091 01:45:19.440 ⇒ 01:45:22.050 Robert Tseng: 1 to 4 p.m, 1 to… oh, perfect.
1092 01:45:22.520 ⇒ 01:45:23.799 Robert Tseng: That actually works.
1093 01:45:24.090 ⇒ 01:45:30.520 Robert Tseng: Hey, I’m gonna pack it up.
1094 01:45:30.830 ⇒ 01:45:34.840 Robert Tseng: Let’s do… what is this? LAS Open House.
1095 01:45:35.390 ⇒ 01:45:37.490 Robert Tseng: You didn’t sprint retro, gross.
1096 01:45:37.720 ⇒ 01:45:40.000 Robert Tseng: Alright, I’ll just do…
1097 01:45:43.030 ⇒ 01:45:46.830 Robert Tseng: Okay, let’s do 3.30 PM.
1098 01:45:48.950 ⇒ 01:45:49.830 Robert Tseng: Great.
1099 01:45:50.820 ⇒ 01:45:51.910 Hannah Wang: Who’s Nancy?
1100 01:45:53.830 ⇒ 01:45:56.570 Robert Tseng: This dude I met at an event last year.
1101 01:45:57.030 ⇒ 01:45:58.020 Hannah Wang: Oh…
1102 01:45:58.670 ⇒ 01:46:00.620 Robert Tseng: Yeah, he’s like a…
1103 01:46:01.610 ⇒ 01:46:11.029 Robert Tseng: he’s really, like, yeah, he’s, like, really into the health… I mean, his entire career has been health tech and, like, health stuff.
1104 01:46:14.640 ⇒ 01:46:20.930 Robert Tseng: Yeah, like, I don’t know, it’s possible that maybe we could bring him in as, like, a SME on health
1105 01:46:21.400 ⇒ 01:46:22.559 Robert Tseng: health-related things.
1106 01:46:22.670 ⇒ 01:46:23.859 Hannah Wang: Yeah.
1107 01:46:24.050 ⇒ 01:46:27.320 Robert Tseng: Yeah, but he was more on the insurance side, so…
1108 01:46:28.030 ⇒ 01:46:30.920 Hannah Wang: That actually might be good for the insurance contact.
1109 01:46:30.940 ⇒ 01:46:33.219 Robert Tseng: That we were talking about earlier. Yep. So…
1110 01:46:33.220 ⇒ 01:46:34.100 Hannah Wang: Roger, yeah.
1111 01:46:35.070 ⇒ 01:46:35.910 Robert Tseng: Yeah.
1112 01:46:36.050 ⇒ 01:46:38.809 Robert Tseng: Anyway… Michael Maloney.
1113 01:46:40.210 ⇒ 01:46:41.899 Robert Tseng: Alright. His name is so…
1114 01:46:41.900 ⇒ 01:46:42.690 Hannah Wang: earlier.
1115 01:46:44.750 ⇒ 01:46:48.609 Hannah Wang: Oh, he knows Utom. Yeah. I’ve seen his name.
1116 01:46:55.710 ⇒ 01:46:56.940 Robert Tseng: Don’t work there.
1117 01:46:57.940 ⇒ 01:46:58.770 Hannah Wang: Ugh.
1118 01:47:05.540 ⇒ 01:47:06.450 Robert Tseng: I got it.
1119 01:47:07.130 ⇒ 01:47:08.620 Robert Tseng: Got the message.
1120 01:47:09.140 ⇒ 01:47:11.080 Robert Tseng: Enjoy semi-retirement!
1121 01:47:12.120 ⇒ 01:47:12.970 Hannah Wang: bulk.
1122 01:47:26.450 ⇒ 01:47:30.620 Robert Tseng: Yes, I was trying to milk some stuff from him.
1123 01:47:31.550 ⇒ 01:47:39.480 Robert Tseng: I… I don’t really like the link sharing thing in LinkedIn, it’s just…
1124 01:47:44.130 ⇒ 01:47:44.490 Hannah Wang: No.
1125 01:47:44.490 ⇒ 01:47:46.480 Robert Tseng: Bro, he hit it again?
1126 01:47:47.130 ⇒ 01:47:47.970 Robert Tseng: Okay.
1127 01:47:49.020 ⇒ 01:47:52.200 Robert Tseng: We are focused primarily…
1128 01:47:55.230 ⇒ 01:48:03.780 Robert Tseng: We’re focused primarily on LinkedIn, dabbled into… have…
1129 01:48:04.300 ⇒ 01:48:08.560 Robert Tseng: Turned off email because response rates were so low.
1130 01:48:10.040 ⇒ 01:48:15.420 Robert Tseng: We’re also… Not a high-volume business.
1131 01:48:17.590 ⇒ 01:48:18.970 Robert Tseng: I lead.
1132 01:48:21.300 ⇒ 01:48:28.080 Robert Tseng: There’s really only, like, a thousand people that are IC… that are our ICP.
1133 01:48:28.600 ⇒ 01:48:30.580 Robert Tseng: By the way, link doesn’t work.
1134 01:48:34.430 ⇒ 01:48:38.880 Robert Tseng: I already left Lee Fleischer.
1135 01:48:40.610 ⇒ 01:48:41.950 Robert Tseng: MedTech.
1136 01:48:44.860 ⇒ 01:48:47.430 Robert Tseng: Rubrim Advisory.
1137 01:48:48.930 ⇒ 01:48:53.599 Robert Tseng: some sort of faculty member, professor at UPenn.
1138 01:48:55.740 ⇒ 01:48:59.099 Robert Tseng: Yeah, I’m sorry, my dude. I don’t really think I’m gonna talk to you.
1139 01:48:59.620 ⇒ 01:49:01.060 Hannah Wang: Yeah.
1140 01:49:05.690 ⇒ 01:49:07.680 Robert Tseng: Thanks, catch you.
1141 01:49:14.090 ⇒ 01:49:16.530 Robert Tseng: All good. Next time. Oh.
1142 01:49:17.880 ⇒ 01:49:20.929 Robert Tseng: Hope you had safe travels, albein.
1143 01:49:21.870 ⇒ 01:49:24.329 Robert Tseng: Ian Philly on Thursday.
1144 01:49:30.060 ⇒ 01:49:31.010 Robert Tseng: Okay.
1145 01:49:32.940 ⇒ 01:49:34.360 Robert Tseng: You are?
1146 01:49:35.090 ⇒ 01:49:35.970 Robert Tseng: Maybe.
1147 01:49:36.620 ⇒ 01:49:37.220 Hannah Wang: Oh.
1148 01:49:38.310 ⇒ 01:49:41.350 Robert Tseng: Insomnia wants me to come on site. I’m like, don’t know why.
1149 01:49:41.350 ⇒ 01:49:41.809 Hannah Wang: How long?
1150 01:49:41.810 ⇒ 01:49:42.490 Robert Tseng: run.
1151 01:49:43.180 ⇒ 01:49:43.800 Hannah Wang: Yeah.
1152 01:49:47.170 ⇒ 01:49:48.310 Robert Tseng: Innovator.
1153 01:49:51.690 ⇒ 01:49:54.270 Robert Tseng: Huh? Oh, a law dude.
1154 01:49:56.300 ⇒ 01:50:02.920 Robert Tseng: What is… What does he do? What’s your… what’s your deal, my dude?
1155 01:50:05.090 ⇒ 01:50:09.420 Robert Tseng: Civil justice… Strategist.
1156 01:50:14.110 ⇒ 01:50:15.680 Robert Tseng: Open to work.
1157 01:50:17.370 ⇒ 01:50:18.760 Robert Tseng: Law clerk.
1158 01:50:19.560 ⇒ 01:50:26.030 Robert Tseng: Some freelance consultants on… Something.
1159 01:50:26.910 ⇒ 01:50:28.240 Robert Tseng: Don’t really get it.
1160 01:50:29.370 ⇒ 01:50:30.760 Robert Tseng: Yeah, sorry.
1161 01:50:31.390 ⇒ 01:50:32.789 Robert Tseng: That’s a no for me.
1162 01:50:35.530 ⇒ 01:50:42.330 Robert Tseng: some Rose Lady… Oh!
1163 01:50:43.790 ⇒ 01:50:45.130 Robert Tseng: Fascinating.
1164 01:50:47.260 ⇒ 01:50:49.619 Robert Tseng: But also, I’m sorry, you’re too young.
1165 01:50:50.130 ⇒ 01:50:54.870 Robert Tseng: Assistant Professor of Warsaw.
1166 01:50:56.940 ⇒ 01:51:01.490 Robert Tseng: Yeah, I’m sorry, I don’t know what I would say to you.
1167 01:51:03.130 ⇒ 01:51:07.590 Robert Tseng: Oh, a COO of a… Hmm.
1168 01:51:07.970 ⇒ 01:51:09.760 Robert Tseng: Slightly questionable.
1169 01:51:09.910 ⇒ 01:51:10.860 Robert Tseng: Cause?
1170 01:51:13.600 ⇒ 01:51:15.769 Robert Tseng: Sexual and human rights.
1171 01:51:19.310 ⇒ 01:51:20.150 Robert Tseng: Okay.
1172 01:51:21.270 ⇒ 01:51:25.280 Robert Tseng: Yeah, I’m sorry, it’s not really my cup of tea.
1173 01:51:28.770 ⇒ 01:51:30.970 Robert Tseng: World Justice Project.
1174 01:51:33.110 ⇒ 01:51:35.169 Robert Tseng: Are you literally just watching me? I thought you…
1175 01:51:36.280 ⇒ 01:51:37.870 Hannah Wang: No, I’m doing other stuff.
1176 01:51:37.870 ⇒ 01:51:39.010 Robert Tseng: Oh, okay, okay.
1177 01:51:39.330 ⇒ 01:51:40.480 Hannah Wang: But I’m listening.
1178 01:51:41.300 ⇒ 01:51:47.560 Robert Tseng: Okay, okay. That would be embarrassed if you’re just watching me click around on LinkedIn.
1179 01:51:48.030 ⇒ 01:51:48.660 Hannah Wang: This is…
1180 01:51:48.660 ⇒ 01:51:49.810 Robert Tseng: This is the life.
1181 01:51:49.960 ⇒ 01:51:51.429 Robert Tseng: This is how deals are made.
1182 01:51:51.830 ⇒ 01:51:52.780 Hannah Wang: M.
1183 01:51:54.720 ⇒ 01:51:56.339 Robert Tseng: Wait, that’s actually interesting.
1184 01:52:02.360 ⇒ 01:52:04.550 Robert Tseng: And a Fordham alone. Great.
1185 01:52:05.130 ⇒ 01:52:06.230 Hannah Wang: Oh!
1186 01:52:06.840 ⇒ 01:52:07.250 Robert Tseng: Hey.
1187 01:52:07.250 ⇒ 01:52:08.189 Hannah Wang: Dang, everything.
1188 01:52:09.750 ⇒ 01:52:11.839 Hannah Wang: Everyone does support it more.
1189 01:52:15.940 ⇒ 01:52:17.160 Robert Tseng: Hi, Catherine!
1190 01:52:17.300 ⇒ 01:52:20.810 Robert Tseng: I’m coming to BC, this week.
1191 01:52:24.730 ⇒ 01:52:28.830 Robert Tseng: Recalled that you… Work.
1192 01:52:29.550 ⇒ 01:52:39.669 Robert Tseng: National… development, and… I’m curious to learn more about the World Justice Project.
1193 01:52:41.820 ⇒ 01:52:46.460 Robert Tseng: I don’t know if you have some… No royalty, you know.
1194 01:52:47.160 ⇒ 01:52:49.019 Robert Tseng: Monday or Tuesday?
1195 01:52:52.130 ⇒ 01:52:59.749 Hannah Wang: I tried to ask, Andrew Iwamoto if Hyundai needed help with their data and AI, and he said.
1196 01:52:59.750 ⇒ 01:53:00.279 Robert Tseng: And he said.
1197 01:53:00.280 ⇒ 01:53:01.440 Hannah Wang: I don’t think so.
1198 01:53:01.830 ⇒ 01:53:02.770 Hannah Wang: Yeah.
1199 01:53:03.050 ⇒ 01:53:04.120 Hannah Wang: I, I got…
1200 01:53:04.120 ⇒ 01:53:05.770 Robert Tseng: Koreans are very exclusive.
1201 01:53:06.290 ⇒ 01:53:12.190 Hannah Wang: Oh. Yeah, they’re, like, super particular about their… Data and stuff, yeah.
1202 01:53:14.060 ⇒ 01:53:23.109 Robert Tseng: Well, we had a… kind of a situation… that I will… Stop recording…