Meeting Title: GTM Tooling - Process Date: 2026-01-23 Meeting participants: Gabriel Lam, Samuel Roberts, Uttam Kumaran, Robert Tseng
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1 00:01:38.230 ⇒ 00:01:39.140 Samuel Roberts: Hey, Gabe.
2 00:01:42.350 ⇒ 00:01:43.360 Gabriel Lam: Hello?
3 00:01:45.620 ⇒ 00:01:46.709 Samuel Roberts: How you doing today?
4 00:01:47.180 ⇒ 00:01:49.550 Gabriel Lam: I’m doing good,
5 00:01:52.690 ⇒ 00:01:58.739 Gabriel Lam: I was… Have you had a chance to look at the PRD, or just any, like, brief thoughts?
6 00:01:59.400 ⇒ 00:02:02.500 Samuel Roberts: Yeah, I know, I have not, unfortunately. I’ve been bounced.
7 00:02:02.500 ⇒ 00:02:03.430 Gabriel Lam: No worries.
8 00:02:03.430 ⇒ 00:02:11.619 Samuel Roberts: The other thing, but I… my reminder keeps going off in Slack, and I’m like, oh, right, right, right, yeah, and I just keep kicking it another 20 minutes further and further.
9 00:02:14.400 ⇒ 00:02:20.580 Gabriel Lam: Yeah, I mean, the main thing for me is just, like, I’m happy to jump right in, because I…
10 00:02:20.720 ⇒ 00:02:23.350 Gabriel Lam: I was thinking about it, and I don’t think…
11 00:02:24.290 ⇒ 00:02:29.269 Gabriel Lam: There are any sort of glaring things that are gonna break anything, and so it’s more like.
12 00:02:29.490 ⇒ 00:02:36.519 Gabriel Lam: getting a second pair of eyes, and you’re like, oh, actually, maybe not do that, there’s no, like, you know, giant red button to…
13 00:02:36.520 ⇒ 00:02:43.059 Samuel Roberts: Okay, everything… sorry, everything starts ringing sometimes, and I don’t know what I’m getting a message on.
14 00:02:43.310 ⇒ 00:02:51.150 Samuel Roberts: Alright, yeah, I will,
15 00:02:57.600 ⇒ 00:02:59.669 Samuel Roberts: Let me… let me pull it up real quick.
16 00:02:59.990 ⇒ 00:03:00.860 Gabriel Lam: All good.
17 00:03:09.800 ⇒ 00:03:11.800 Samuel Roberts: It’s in the vault. Is it…
18 00:03:12.070 ⇒ 00:03:14.140 Samuel Roberts: On the main branch involved, I haven’t.
19 00:03:14.370 ⇒ 00:03:16.090 Gabriel Lam: It should be on the main branch, yeah.
20 00:03:16.740 ⇒ 00:03:17.529 Samuel Roberts: Alright, cool.
21 00:03:22.840 ⇒ 00:03:24.959 Samuel Roberts: from PRD is… there it is, okay.
22 00:03:45.750 ⇒ 00:03:47.110 Samuel Roberts: It was making sense.
23 00:03:51.590 ⇒ 00:03:58.610 Gabriel Lam: Aside from that, it seems like this call is go-to-market tooling. I don’t know if… I think Robert’s in another call for this.
24 00:04:00.330 ⇒ 00:04:06.729 Uttam Kumaran: Yeah, I feel like he may… Skip, but… We can chat or not.
25 00:04:07.900 ⇒ 00:04:15.509 Gabriel Lam: I was just asking Sam, because we were the only two. I was like, hey, have we had a chance to, like, see any glaring
26 00:04:16.250 ⇒ 00:04:20.659 Gabriel Lam: flags in the PRD so far, otherwise I was just gonna pop right in.
27 00:04:24.020 ⇒ 00:04:32.030 Gabriel Lam: Utam, I wanted to know, like, your experience with the, Slack bots, like, how that’s been going, if you’ve been encountering
28 00:04:33.550 ⇒ 00:04:44.520 Gabriel Lam: any, like, obstacles. I think something that I was thinking was, like, whether… whether linear sort of notifies
29 00:04:44.650 ⇒ 00:04:51.880 Gabriel Lam: EPs or SLs or CSOs via Slack, and whether it’s through the Brain Forge Assistant, or whether it’s, like, a channel
30 00:04:53.230 ⇒ 00:04:54.470 Uttam Kumaran: Everyone thinks I’m kidding.
31 00:04:54.470 ⇒ 00:04:55.190 Gabriel Lam: too.
32 00:04:55.490 ⇒ 00:05:01.579 Uttam Kumaran: Yeah, I think this is probably good for us to… Talk about, because…
33 00:05:02.320 ⇒ 00:05:11.360 Uttam Kumaran: Slack has a couple of things that we can do, and I will send you… Something…
34 00:05:14.320 ⇒ 00:05:18.340 Samuel Roberts: Yeah, that was one thing I was just noticing in the diagram here about where things get sent to.
35 00:05:20.980 ⇒ 00:05:24.110 Samuel Roberts: Internal meeting team channel, I… yeah, minor DM.
36 00:05:27.250 ⇒ 00:05:27.920 Samuel Roberts: Okay.
37 00:05:35.930 ⇒ 00:05:39.410 Gabriel Lam: Yeah, the only reason I was thinking of splitting it was, like, if there’s some…
38 00:05:39.630 ⇒ 00:05:44.010 Gabriel Lam: I guess more private or, like, planning TBD conversations.
39 00:05:44.010 ⇒ 00:05:44.770 Uttam Kumaran: Yes.
40 00:05:44.770 ⇒ 00:05:48.829 Gabriel Lam: I was like, that probably shouldn’t go in a company… No, totally.
41 00:05:48.830 ⇒ 00:05:49.420 Uttam Kumaran: Totally.
42 00:05:50.220 ⇒ 00:05:54.220 Samuel Roberts: So, check out this link I sent in Platform.
43 00:05:54.520 ⇒ 00:05:59.750 Uttam Kumaran: So, long story short, yes, like, we can develop apps
44 00:05:59.880 ⇒ 00:06:10.519 Uttam Kumaran: and workflows that can be triggered publicly, and you can DM directly. Slack also came out with, like, this, like, sort of, like, enhanced AI features that
45 00:06:10.750 ⇒ 00:06:19.890 Uttam Kumaran: Also, you can basically, you can also basically have it, like, pop out, right side, panels.
46 00:06:20.050 ⇒ 00:06:22.559 Uttam Kumaran: And, like, it’s a little bit of a different UX.
47 00:06:23.180 ⇒ 00:06:23.920 Samuel Roberts: Hmm.
48 00:06:25.480 ⇒ 00:06:26.110 Uttam Kumaran: So…
49 00:06:26.110 ⇒ 00:06:26.790 Gabriel Lam: I like that.
50 00:06:27.190 ⇒ 00:06:29.179 Uttam Kumaran: There are a couple of,
51 00:06:29.500 ⇒ 00:06:34.460 Uttam Kumaran: there’s a couple options, but basically, yes, like, we should enable DM, and…
52 00:06:34.460 ⇒ 00:06:36.290 Samuel Roberts: Yeah. In threads?
53 00:06:36.540 ⇒ 00:06:41.649 Uttam Kumaran: I mean, the big unlock here is gonna be the fact that the Slack assistant
54 00:06:41.850 ⇒ 00:06:45.820 Uttam Kumaran: Can be guided by what’s in the vault and playbooks, you know?
55 00:06:45.820 ⇒ 00:06:46.420 Gabriel Lam: Yeah.
56 00:06:47.040 ⇒ 00:06:47.650 Samuel Roberts: Right.
57 00:06:47.650 ⇒ 00:06:49.720 Uttam Kumaran: I don’t think we’re that far, I mean, I think if you…
58 00:06:49.910 ⇒ 00:06:57.309 Uttam Kumaran: Yeah, if we just tell Kirscher to… to do that, I think more of what I’m interested in in-game is, like, what are some, like.
59 00:06:58.260 ⇒ 00:07:05.659 Uttam Kumaran: example workflows, because at this point, like, I feel comfortable that, like, I can… end up building it.
60 00:07:05.780 ⇒ 00:07:10.390 Uttam Kumaran: But, like, I also built in a way where, like, I need to… I want to build more comprehensive testing.
61 00:07:10.590 ⇒ 00:07:12.310 Uttam Kumaran: And.
62 00:07:12.310 ⇒ 00:07:31.010 Robert Tseng: around, but, like, yeah, I guess this call is specifically for me to kind of share about, like, on the go-to-market side, like, tools and processes that I want, and then, like, this is our… this is, UTAM and, like, our AI team, engineering team, that we’re just gonna spend some time talking about, like, what to prioritize and develop, so…
63 00:07:31.010 ⇒ 00:07:32.480 Robert Tseng: I mean, I guess…
64 00:07:32.480 ⇒ 00:07:43.309 Robert Tseng: If that… if you… you’re welcome to stick around as I chat with him for a bit, otherwise… Okay, sure. All right, then I’ll… you can just be a fly on the wall, just kind of listen to things, but… alright.
65 00:07:44.430 ⇒ 00:07:46.340 Robert Tseng: Sorry guys.
66 00:07:47.300 ⇒ 00:07:47.810 Gabriel Lam: Don’t worry.
67 00:07:47.810 ⇒ 00:07:50.389 Uttam Kumaran: Completely, you completely interrupted my train of thought.
68 00:07:52.820 ⇒ 00:07:55.350 Robert Tseng: Did I actually, or you guys were just sitting in silence?
69 00:07:55.570 ⇒ 00:07:56.660 Uttam Kumaran: No, dude, I’m in.
70 00:07:56.660 ⇒ 00:08:03.139 Samuel Roberts: Yeah, and your audio was still connecting, and then… and when it came in, you were in the middle of talking, and it was…
71 00:08:03.140 ⇒ 00:08:13.869 Uttam Kumaran: No, you’re okay. We’re talking about… no, we’re talking about Slack, talking about the Slack assistant that I built, but, like, we can… we were just waiting, so yeah, we should… you should take it, whatever.
72 00:08:13.880 ⇒ 00:08:14.480 Samuel Roberts: Right.
73 00:08:15.620 ⇒ 00:08:16.010 Robert Tseng: Cool.
74 00:08:16.490 ⇒ 00:08:21.129 Robert Tseng: I have, just so you guys see, I have Joseph here, next to me. Good to meet you.
75 00:08:21.130 ⇒ 00:08:21.660 Uttam Kumaran: Yay!
76 00:08:22.010 ⇒ 00:08:35.549 Robert Tseng: Yeah, we… he’s sales background, so, you know, maybe it is a world where we bring him in, and he can… he can start selling business for us, too. Yeah, Luke was here earlier, but he just left, so, yeah, sorry I was late, we were just kind of… we ran a bit over.
77 00:08:35.789 ⇒ 00:08:36.769 Uttam Kumaran: No, you’re good.
78 00:08:36.919 ⇒ 00:08:38.379 Robert Tseng: Yeah. This is for you.
79 00:08:38.889 ⇒ 00:08:42.339 Uttam Kumaran: We’re here for you, to serve to build AI for you.
80 00:08:42.340 ⇒ 00:08:47.929 Robert Tseng: Yeah, I haven’t talked to Gabe and Sam in the same call, like, in a long time, so…
81 00:08:48.360 ⇒ 00:08:49.050 Gabriel Lam: it out.
82 00:08:49.610 ⇒ 00:09:08.060 Robert Tseng: Okay. Cool. Well, I mean, I didn’t… I know I didn’t send you guys a list before this, but, like, I have a bunch of, like, random ideas, like, I don’t know, seem… I’m curious, like, what’s on the roadmap already? Like, maybe you guys have already kind of triaged some of the things that I had asked for, but I’m just curious, like, what would be a good starting point?
83 00:09:11.940 ⇒ 00:09:13.259 Gabriel Lam: I’d say…
84 00:09:13.700 ⇒ 00:09:15.399 Uttam Kumaran: Yeah, maybe you go ahead, Gabe.
85 00:09:15.880 ⇒ 00:09:19.720 Gabriel Lam: The main thing that we’ve been focusing on is…
86 00:09:20.240 ⇒ 00:09:28.170 Gabriel Lam: Well, we’ve been focusing the last, like, month on, like, allowing cursor, really, to… have…
87 00:09:28.710 ⇒ 00:09:33.649 Gabriel Lam: its hand in everything that we have, and so if you wanted to hop on and you wanted to write anything, you could
88 00:09:34.030 ⇒ 00:09:44.779 Gabriel Lam: you could not only, like, find what you needed, but also, like, it would be easy for people who were not technical to use it. Yeah. And then recently, we were trying to revisit linear, because we noticed, like, hey.
89 00:09:45.090 ⇒ 00:09:58.499 Gabriel Lam: We have this, like, ticketing, auto-ticketing system after meetings are ingested, and no one’s really using it, so it’s like, what… how do you make it less painful, or, like, so glaring that,
90 00:09:58.710 ⇒ 00:10:14.669 Gabriel Lam: it becomes a much more core part of people’s workflow, and Utam’s been working on, like, Slack assistance, and so I think that’s the direction we’re gonna go in, where hopefully at the end of a meeting, you’ll get… people will get pinged, and then you can decide, like, hey, that goes to this person, that goes to that person, and hopefully, like.
91 00:10:14.990 ⇒ 00:10:20.330 Gabriel Lam: Make the whole grooming ticketing process a lot better and more involved for everyone?
92 00:10:21.130 ⇒ 00:10:23.290 Gabriel Lam: In terms of GTN specifically.
93 00:10:23.480 ⇒ 00:10:27.150 Gabriel Lam: not so much. So, like, whatever ideas you have, we can dive right in.
94 00:10:27.910 ⇒ 00:10:32.579 Robert Tseng: Okay. Yeah. Well, I guess, like, on the note of Slack, I think just, like.
95 00:10:33.310 ⇒ 00:10:44.969 Robert Tseng: I was, like, messaging Utam about some Slack utilization things, but, one’s, like, I don’t fully understand how our AI helper in Slack really works, like, I feel like it’s not really that active, or, like, I mean, I don’.
96 00:10:44.970 ⇒ 00:10:46.419 Uttam Kumaran: No, I just, I just…
97 00:10:46.970 ⇒ 00:10:51.070 Uttam Kumaran: You sending that, I fixed it. No, I just… I did it, I redid it all.
98 00:10:51.070 ⇒ 00:10:51.780 Robert Tseng: Okay.
99 00:10:51.780 ⇒ 00:10:55.319 Uttam Kumaran: It was… we… it was like a side project I had Casey do, like…
100 00:10:55.680 ⇒ 00:10:58.190 Uttam Kumaran: A while ago, and then it was I’m gonna…
101 00:10:58.190 ⇒ 00:10:58.680 Samuel Roberts: Yeah.
102 00:10:58.680 ⇒ 00:11:08.669 Uttam Kumaran: we didn’t have enough people that you’re using it, so then I just… yeah, so right now it’s working, you can consider it, like, basically, think about it like you’re talking… Basically, it’s replicating GPT in Slack, yeah.
103 00:11:08.670 ⇒ 00:11:14.970 Robert Tseng: Okay. But is it, like, connected to, like, all of our documentation as well, or no, it’s just, like… Not yet. Okay, sure.
104 00:11:14.970 ⇒ 00:11:15.800 Samuel Roberts: Getting there.
105 00:11:16.340 ⇒ 00:11:32.639 Robert Tseng: So, yeah, so two things, like, the go-to-market team now, I mean, Luke and Ryan are both in Cursor, and they’re, like, they’re drafting docs and stuff in there. My concern with Cursor, though, is that, like, because neither of them are that… like, they’re just, like, adding a bunch of stuff to it, like…
106 00:11:32.980 ⇒ 00:11:52.140 Robert Tseng: Yeah, like, so… I don’t… I feel like they just… they just, like, they just ship whatever it generates for them, and you… I can see, like, it’ll just sprawl out a lot. Like, even in, like, the go-to-market agents, like, I had built out a few agents. You can see there’s another subfolder that’s just called, like, Ryan Agents, or, like, whatever, and he just…
107 00:11:52.140 ⇒ 00:11:58.640 Uttam Kumaran: My thing is, like, why did that get… that shouldn’t get let in. So, like, we should just, like, delete all that, and then you should…
108 00:11:58.750 ⇒ 00:12:03.690 Uttam Kumaran: You, or… This crew or someone should approve anything that makes it in.
109 00:12:03.690 ⇒ 00:12:15.180 Robert Tseng: Yeah, so I… I told… I taught Luke how to make a PR yesterday, I was like, don’t, don’t ship things, do it. Yeah, so, like, I’ll do… I’ll do more of the reviews on that, so that’s some guardrail on that part. But yeah, I mean, other than that, like.
110 00:12:15.390 ⇒ 00:12:32.909 Robert Tseng: I don’t really think it’s gotten… maybe it’s helping them draft more, but I think they’re having a hard time, like, pushing it over the line. So, I just finished the go-to-market, like, recap with them. They didn’t push out the campaigns that they said they were going to do. Like, content got derailed again, like, it’s been sitting in drafts for a while, but still, like.
111 00:12:32.910 ⇒ 00:12:45.329 Robert Tseng: the velocity of, like, actually pushing things to the finish line, I don’t really think that’s really an AI kind of problem to solve, that’s just really… I think they just get… they’re just kind of getting distracted with, like, what they can do with Cursor, and…
112 00:12:45.330 ⇒ 00:12:58.090 Robert Tseng: doing a lot of extraneous stuff that’s, like, not really going, like, helping them hit… hit the numbers that they need. So I think that’s… that’s, like, one… one challenge that I’m seeing. And then the second thing that maybe we could actually help with here is, like.
113 00:12:58.160 ⇒ 00:13:07.040 Robert Tseng: within Slack, there are so many threads, like, within, like, our few sales channels. Some things, like, we just can’t respond to right away, but I would like, like, the…
114 00:13:07.210 ⇒ 00:13:17.770 Robert Tseng: if we could have our chat, or whatever, like, the Brainforge bot, like, be able to just jump in, kind of like how the Vixi agent works, where it’s like, hey, like.
115 00:13:18.870 ⇒ 00:13:24.540 Robert Tseng: Yeah, like, if I didn’t respond to somebody asking me about, like, a content review, or, like,
116 00:13:24.680 ⇒ 00:13:27.040 Robert Tseng: They… they didn’t,
117 00:13:27.940 ⇒ 00:13:34.309 Robert Tseng: I guess the way that I… I’m trying to find the phrasing that I gave you, Tom. Like, I don’t remember exactly where I… where I put it.
118 00:13:34.310 ⇒ 00:13:35.190 Uttam Kumaran: Yeah, yeah.
119 00:13:35.190 ⇒ 00:13:39.450 Robert Tseng: But, mate. Look for it.
120 00:13:42.990 ⇒ 00:13:48.009 Uttam Kumaran: Yeah, I’m calling the woman that… develops for Vixel.
121 00:13:48.340 ⇒ 00:13:50.849 Uttam Kumaran: Like, next week, being like…
122 00:13:51.880 ⇒ 00:13:54.850 Robert Tseng: Well, basically, the gist of it was, like,
123 00:13:56.030 ⇒ 00:14:13.899 Robert Tseng: Yeah, people get blocked on things, they tag me every time in Slack, we don’t always have an answer for them right away, and then obviously, like, the way Slack works, once you, like, exit the notification, it never comes back to you. So, a way for, like, the agent not just to be, like, bump, but, like, try to answer from our perspective to, like.
124 00:14:14.180 ⇒ 00:14:14.610 Samuel Roberts: None.
125 00:14:14.610 ⇒ 00:14:33.260 Robert Tseng: like, just push the conversation on a little bit more. So that way it kind of resurfaces, like, where we left off, while also giving us a little bit more, context, or, like, kind of pushes the conversation along. Because, you know, we’re not intentionally trying to, like, stall things, we just sometimes don’t have an answer to, like, to help unblock them. So…
126 00:14:33.280 ⇒ 00:14:45.439 Robert Tseng: I feel like that should be more doable now that I’ve set up, like, my Robert GPT, like, whatever thing, so that’s helped, like, Luke… Luke doesn’t ask me questions about qualifying ICP anymore, he can just go and ask it directly.
127 00:14:45.440 ⇒ 00:15:04.579 Robert Tseng: So, like, I’m, like, trying to pick off small use cases where I get a bunch of questions, same questions on, like, hey, can you review this lead list? Does this actually fit, like, the criteria? Like, I don’t need to answer that anymore, you can just ask my GPT or whatever. So, like, like, stuff like that, I can continue… I can contribute to on the documentation side, but, like, I think just…
128 00:15:04.600 ⇒ 00:15:16.260 Robert Tseng: like, kind of surfacing the notification and continuing the conversation in Slack, because that seems to be where everybody’s doing their communicating, I think would be… would help, us to, like, not have fewer things fall through the cracks.
129 00:15:17.390 ⇒ 00:15:19.250 Uttam Kumaran: Okay, okay. That’s fine.
130 00:15:19.250 ⇒ 00:15:19.810 Samuel Roberts: Yeah.
131 00:15:19.810 ⇒ 00:15:20.400 Robert Tseng: Yeah.
132 00:15:21.370 ⇒ 00:15:25.250 Gabriel Lam: I think instant thoughts… sorry, don’t mean to…
133 00:15:25.370 ⇒ 00:15:31.840 Gabriel Lam: If you have… I… yeah. I think instant thoughts would just be, like, what does notifications look like to you? Is it, like.
134 00:15:32.130 ⇒ 00:15:35.259 Gabriel Lam: you’ll literally get a Slack notification, is it, like.
135 00:15:35.380 ⇒ 00:15:39.330 Gabriel Lam: Something DMs you, is it, like, it writes something for you, and then you’ll check the drafts?
136 00:15:39.330 ⇒ 00:15:53.030 Robert Tseng: Ideally, it’s in that same thread, like, the thread that, like, dropped off, so, like, let’s say, like, that thread hasn’t… no one’s responded to it. If it’s, like, a thread that’s, like, more than 2 or 3 messages long, nobody’s responded within 24 hours,
137 00:15:53.030 ⇒ 00:16:08.929 Robert Tseng: then, like, the agent will just jump in, and it will reply as if it was us, so, like, that way it kind of bumps it back up for me and you, Tom, so we can go back in and either kind of close it out and be like, alright, that’s… that was a good answer, close it out, or, like, no, I actually think I would add this onto it as well, like, you know, something like that.
138 00:16:10.090 ⇒ 00:16:12.539 Gabriel Lam: So have it, like, sit in drafts a little bit, and then you’ll get…
139 00:16:12.820 ⇒ 00:16:17.720 Gabriel Lam: some periodic ping on your own until you’ll check it and review it? Okay.
140 00:16:19.130 ⇒ 00:16:20.949 Samuel Roberts: Or it would post in the thread, right?
141 00:16:20.950 ⇒ 00:16:21.550 Robert Tseng: Yeah.
142 00:16:21.550 ⇒ 00:16:30.209 Uttam Kumaran: Well, like, one other way, like, when I originally thought about this, like, maybe a year ago, I was thinking that, to start, what we do is.
143 00:16:30.350 ⇒ 00:16:38.779 Uttam Kumaran: we have a channel where it’s… the Slack bot says, hey, I can respond to this message in this way, do you want me to go ahead and do that, yes or no?
144 00:16:38.780 ⇒ 00:16:39.210 Robert Tseng: Yeah.
145 00:16:39.210 ⇒ 00:16:48.009 Uttam Kumaran: Because I feel like if we let it loose, it may just, like, mess up. Yeah. Like, so instead, I was like, maybe we do that for a bit, until we isolate
146 00:16:48.230 ⇒ 00:16:52.980 Uttam Kumaran: The couple things that were, like, a couple types of questions that were okay with it just ripping.
147 00:16:54.030 ⇒ 00:16:58.790 Uttam Kumaran: And then otherwise, maybe it just gives us the answer, and then we add on and paste it, so it’s like…
148 00:16:59.180 ⇒ 00:17:01.069 Uttam Kumaran: A little bit more than just drafting.
149 00:17:01.990 ⇒ 00:17:13.280 Robert Tseng: Yeah, I mean, I’m personally okay with it just responding for me, because that’ll… but then… but it tags me in the answer too, so… because I’m always checking through, like, my threads, like, unread threads, so I’ll always go back to it, and I’ll, like…
150 00:17:13.280 ⇒ 00:17:24.279 Robert Tseng: Because it… if it keeps it in the thread, it has all the context, I’ll see what the AI message was, and I can… by my response, I’ll be like, yeah, that was great, or we can close it out now.
151 00:17:24.280 ⇒ 00:17:27.939 Uttam Kumaran: You want it to sound like… you want it to sound like you in responding?
152 00:17:28.160 ⇒ 00:17:29.760 Robert Tseng: I personally don’t care that much about.
153 00:17:29.760 ⇒ 00:17:30.080 Uttam Kumaran: Okay.
154 00:17:30.080 ⇒ 00:17:34.480 Robert Tseng: stylistic of it. It’s just really getting them the answer that they’re asking.
155 00:17:34.850 ⇒ 00:17:40.400 Samuel Roberts: Yeah, I can even just… yeah, I can just… whatever messages haven’t been responded to in a little while, it takes a stab at it, and then tags you.
156 00:17:40.400 ⇒ 00:17:50.270 Robert Tseng: That would help kind of push, like, the conversations internally. I have, like, I have, like, the… one of the other things that I had tagged as well, Gabe and Utam in was.
157 00:17:50.280 ⇒ 00:18:00.910 Robert Tseng: like, Vercel released, like, this lead processing agent, so I think, like, there’s a way for us to kind of flip it so it works better for us, since we’re not doing, like, big lead lists, and then, like, really…
158 00:18:01.010 ⇒ 00:18:17.469 Robert Tseng: And, like, a lot of… we have the qualification framework, but maybe we can… we can have it go backwards in terms of, like, oh, I guess… I don’t know if you’ve looked at that message. Gabe said he took a look at it, so maybe I’ll… I don’t want to over… over-explain, like, what I was thinking there.
159 00:18:20.470 ⇒ 00:18:21.230 Uttam Kumaran: Okay.
160 00:18:21.960 ⇒ 00:18:25.480 Gabriel Lam: Yeah, I took a look at it. I think my curiosity is just, like, what…
161 00:18:26.960 ⇒ 00:18:32.419 Gabriel Lam: what output you’re trying to have. I think it looks like something that is doable, and
162 00:18:32.650 ⇒ 00:18:36.749 Gabriel Lam: I think Vercel has, like, deep enough documentation that we can definitely take it forward.
163 00:18:36.750 ⇒ 00:18:38.669 Robert Tseng: I guess my question there is…
164 00:18:38.700 ⇒ 00:18:41.680 Gabriel Lam: I guess more for you, Robert, of, like, what…
165 00:18:42.970 ⇒ 00:18:46.370 Gabriel Lam: what you want out of it, I guess, like, in terms of an output.
166 00:18:46.370 ⇒ 00:18:48.999 Robert Tseng: Yeah, I’ll put her just in that first message, yeah.
167 00:18:49.000 ⇒ 00:18:50.300 Gabriel Lam: Okay, got it.
168 00:18:50.300 ⇒ 00:18:50.840 Robert Tseng: Yeah.
169 00:18:51.170 ⇒ 00:18:52.230 Gabriel Lam: Okay, just the first pair.
170 00:18:52.530 ⇒ 00:19:02.669 Robert Tseng: Yeah, and it’s either adapted for… we should do two versions, one for LinkedIn, that’s a little bit shorter form, and then one for… one for email. So we can decide, based on what we have, you know, if we’re gonna hit them on email or LinkedIn.
171 00:19:03.630 ⇒ 00:19:04.550 Gabriel Lam: Mmm, excellent.
172 00:19:04.830 ⇒ 00:19:12.870 Robert Tseng: Okay. I think this just happens a lot, because, like, Utam and I have, like, we have… we have taste, so, like, in terms of, like, when we’re talking to people and they bring things up, like.
173 00:19:12.870 ⇒ 00:19:29.419 Robert Tseng: I just feel like our manual, like, kind of, like, random detours into LinkedIn or whatever, we find people, and, like, I wish I could have just, like, quickly drafted something and sent them a message, like, right then and there, rather than hitting Save to Sales Navigator, I never come back with them, you know, so, like…
174 00:19:29.420 ⇒ 00:19:30.160 Robert Tseng: Yeah.
175 00:19:31.920 ⇒ 00:19:32.620 Gabriel Lam: Okay.
176 00:19:34.700 ⇒ 00:19:35.860 Robert Tseng: Yeah, that way I…
177 00:19:35.860 ⇒ 00:19:36.520 Gabriel Lam: I don’t see…
178 00:19:36.520 ⇒ 00:19:51.060 Robert Tseng: someone, it’ll automatically, like, I can put it… I can feed it to this agent, it’ll automatically qualify it in an RSVP framework, it’ll generate the first message, and I can just go and fire it off before my mind overthinks. Like, I think that’s typically, like, I just need it in that moment when I see that person right away.
179 00:19:52.380 ⇒ 00:19:53.320 Gabriel Lam: Hmm.
180 00:19:53.760 ⇒ 00:19:54.570 Samuel Roberts: Makes sense.
181 00:19:55.980 ⇒ 00:20:05.489 Robert Tseng: Yeah, so I think, like, my… I think that’s one example of, like, I’m less interested in you guys building out full, like, AI-automated workflows, just, like, stuff that kind of helps us.
182 00:20:05.490 ⇒ 00:20:11.229 Samuel Roberts: In the things that we’re already doing, just, like, assists us to take, like, that next action step that sometimes, like.
183 00:20:11.230 ⇒ 00:20:24.390 Robert Tseng: at least, I don’t know for Ruton, but at least for me, it felt like that was a wasted session if I, like, took a detour into LinkedIn, clicked around a few profiles, thought, like, this is an interesting account, I want to talk to these people, and I never end up coming back to them. Or I tell Ryan or Luke.
184 00:20:24.860 ⇒ 00:20:32.329 Robert Tseng: don’t get it, because, like, it’ll take a week for them to learn why I was thinking about reaching out to them, and, like, when I could have just sent it to them right then and there.
185 00:20:34.420 ⇒ 00:20:45.289 Robert Tseng: Luke was literally here, and I was, like, telling him, dude, just pull up your computer, send two messages to people on my network right now. They responded immediately, I got a text, and I got a lead. So, like.
186 00:20:45.290 ⇒ 00:20:46.489 Uttam Kumaran: Yeah, yeah, yeah, yeah.
187 00:20:46.490 ⇒ 00:20:52.100 Robert Tseng: This is the stuff we need. I do not need you to be strategizing so much. Just… just build the pipeline. Yeah.
188 00:20:52.100 ⇒ 00:20:52.890 Uttam Kumaran: Yeah.
189 00:20:52.890 ⇒ 00:20:53.440 Robert Tseng: Yeah.
190 00:20:55.930 ⇒ 00:20:56.540 Uttam Kumaran: Yeah.
191 00:20:56.540 ⇒ 00:20:57.430 Gabriel Lam: Hmm.
192 00:20:58.790 ⇒ 00:20:59.310 Robert Tseng: Yeah.
193 00:21:00.030 ⇒ 00:21:00.770 Robert Tseng: So…
194 00:21:03.730 ⇒ 00:21:07.690 Uttam Kumaran: Okay, cool. I feel like, yeah, we’ll take the assistant, like, one step further.
195 00:21:07.850 ⇒ 00:21:08.430 Robert Tseng: Yeah.
196 00:21:08.430 ⇒ 00:21:12.220 Uttam Kumaran: I feel pretty good. I feel that’s all possible. Like, and I’m gonna call…
197 00:21:12.340 ⇒ 00:21:18.129 Uttam Kumaran: I’m gonna call the Vixi person, but yeah, we can listen to messages, and then basically run through all of that.
198 00:21:18.440 ⇒ 00:21:19.579 Uttam Kumaran: That should be fine.
199 00:21:19.950 ⇒ 00:21:38.280 Robert Tseng: Yeah. Overall, like, Brainforge Vault is great. I love what Gabe set up, and, yeah, I think it was easy for me to plug into, build some agents. I even replicated it on the delivery side, with Eden. So, like, I built, like, an analysis agent, and, like, Amber said it was helpful. So, like, you know, I thought, I thought it was great.
200 00:21:38.280 ⇒ 00:21:39.070 Uttam Kumaran: Check.
201 00:21:39.070 ⇒ 00:21:39.580 Robert Tseng: Yeah, like.
202 00:21:39.580 ⇒ 00:21:46.599 Uttam Kumaran: Yeah, I mean, what… basically what we should do, Gabe, is… and I can do this now… I can set up code owners.
203 00:21:46.750 ⇒ 00:21:51.509 Uttam Kumaran: and then basically have Robert as the code owner for sales, and then…
204 00:21:51.620 ⇒ 00:21:54.009 Uttam Kumaran: like, me or you, Gabe, on everything else?
205 00:21:54.030 ⇒ 00:21:55.540 Samuel Roberts: Yeah.
206 00:21:56.130 ⇒ 00:22:07.290 Uttam Kumaran: And then… and then Robert, you can let me know, yeah, because I know Ryan, he’s just gonna spam this with stuff, so I just don’t want it to enter. Yeah. I don’t want it to enter in. Because basically, this is gonna go to everybody.
207 00:22:07.300 ⇒ 00:22:08.480 Robert Tseng: Yeah. So…
208 00:22:08.480 ⇒ 00:22:18.020 Uttam Kumaran: I’m expecting, at minimum, everybody in Cursor has Playbook and Vault open whenever they’re doing anything, so if this just becomes messy and unclean.
209 00:22:18.280 ⇒ 00:22:22.049 Uttam Kumaran: Yeah, it’s gonna… it’ll just clog up the context.
210 00:22:22.810 ⇒ 00:22:27.659 Uttam Kumaran: And dude, they can still do whatever they want on their laptop, like, you just can’t promote it up.
211 00:22:28.180 ⇒ 00:22:28.540 Samuel Roberts: Yeah.
212 00:22:28.540 ⇒ 00:22:29.100 Uttam Kumaran: Yeah, yeah.
213 00:22:31.320 ⇒ 00:22:38.710 Uttam Kumaran: That’s the thing, like, people can… dude, you can just literally develop your own application, run it on your own machine, you don’t need to send it to everybody, it’s like, it’s not relevant to everybody.
214 00:22:38.940 ⇒ 00:22:43.530 Samuel Roberts: I mean, it could even be branches, and if other people need it, but just don’t let it get to main, and then.
215 00:22:43.530 ⇒ 00:22:45.269 Gabriel Lam: Yeah, they’re gonna play that.
216 00:22:45.380 ⇒ 00:22:46.190 Gabriel Lam: Yeah.
217 00:22:46.370 ⇒ 00:22:46.890 Robert Tseng: safe.
218 00:22:49.240 ⇒ 00:22:51.340 Robert Tseng: Cool. I mean, I got more, but like…
219 00:22:51.340 ⇒ 00:23:00.509 Uttam Kumaran: Yeah, no, well, let me give you a couple… let me give you a couple of things I’m gonna do. So, I’m generating… I’m gonna do an MCP for… for Gmail, I’m gonna do an MCP for HubSpot.
220 00:23:00.770 ⇒ 00:23:05.240 Uttam Kumaran: So you’ll be able to draft direct to Gmail, you’ll be able to interact directly with HubSpot…
221 00:23:05.240 ⇒ 00:23:10.700 Robert Tseng: using Gmail? Dude, you should just use Superhuman. The MCP in there is pretty good. Like, it already drafts emails like me.
222 00:23:10.700 ⇒ 00:23:13.839 Uttam Kumaran: Oh, really? Oh, okay, and okay, then, yeah, that’s a good reminder. Okay, let me just…
223 00:23:13.840 ⇒ 00:23:17.529 Robert Tseng: I’ve read every email that I’ve sent out, and I don’t even really write emails anymore, it’s great.
224 00:23:17.990 ⇒ 00:23:21.070 Uttam Kumaran: Oh, okay, sick. Alright, then let me do that. Then that’s whatever…
225 00:23:23.260 ⇒ 00:23:26.019 Uttam Kumaran: I had a couple other things I wanted to…
226 00:23:26.490 ⇒ 00:23:34.320 Uttam Kumaran: rip through… I’m… I’m building, like, a Clockify… I built a Clockify one, so you can natural language just say, like, I work these hours.
227 00:23:34.320 ⇒ 00:23:35.090 Robert Tseng: Oh.
228 00:23:35.090 ⇒ 00:23:44.430 Uttam Kumaran: What I’m gonna do next is I’m gonna do for Calendar, and then I’m gonna build a UI that allows everybody, every day, at the end of the day, you can go in, it’ll basically be like.
229 00:23:44.610 ⇒ 00:23:52.530 Uttam Kumaran: here are my predicted time entries based on your Slack messages and your calendar invites, or your calendar events.
230 00:23:52.530 ⇒ 00:23:53.929 Robert Tseng: Yeah. Like, click, click, click.
231 00:23:53.930 ⇒ 00:23:54.480 Uttam Kumaran: log.
232 00:23:54.480 ⇒ 00:23:58.299 Robert Tseng: We’re trying to get rid of Clockify, and then we’ll move off operating.
233 00:23:58.670 ⇒ 00:24:02.599 Robert Tseng: Yeah, I mean, I’m… the thing is, dude, I will spend…
234 00:24:02.610 ⇒ 00:24:04.690 Uttam Kumaran: More money than we’re paying them.
235 00:24:05.080 ⇒ 00:24:08.310 Uttam Kumaran: in, like, tokens and in my time, so I’m like.
236 00:24:08.310 ⇒ 00:24:08.710 Robert Tseng: Yeah.
237 00:24:08.940 ⇒ 00:24:11.419 Uttam Kumaran: partly I’m, like, don’t wanna, like, over…
238 00:24:12.420 ⇒ 00:24:16.969 Uttam Kumaran: I don’t want to bill that, like, if we… if it’s, like, just works, but I just want to make it easier for people to enter shit there.
239 00:24:17.310 ⇒ 00:24:17.950 Robert Tseng: Yeah.
240 00:24:17.950 ⇒ 00:24:27.000 Uttam Kumaran: So, and then… Let’s see, I had a couple other things…
241 00:24:32.430 ⇒ 00:24:37.470 Uttam Kumaran: Yeah, I’m gonna start moving all the transcripts from meetings into the vault automatically.
242 00:24:38.250 ⇒ 00:24:38.850 Gabriel Lam: Okay.
243 00:24:39.560 ⇒ 00:24:40.549 Uttam Kumaran: I would wonder…
244 00:24:40.550 ⇒ 00:24:41.030 Gabriel Lam: How about that?
245 00:24:41.030 ⇒ 00:24:41.460 Uttam Kumaran: Yeah.
246 00:24:41.460 ⇒ 00:24:43.519 Gabriel Lam: I was wondering if that was a fresh pop.
247 00:24:43.520 ⇒ 00:24:46.719 Uttam Kumaran: I’ll rip that sometime this weekend.
248 00:24:48.130 ⇒ 00:24:50.980 Uttam Kumaran: I’m gonna try to build something with granola.
249 00:24:52.590 ⇒ 00:24:54.630 Uttam Kumaran: For Granola to enter the platform?
250 00:24:55.560 ⇒ 00:24:56.080 Robert Tseng: Okay.
251 00:24:56.080 ⇒ 00:24:59.830 Uttam Kumaran: So, like, regardless of wherever you get the meeting, either you can manual entry or…
252 00:24:59.930 ⇒ 00:25:02.390 Robert Tseng: Yeah. I’m gonna think of some way where, like, maybe we…
253 00:25:02.510 ⇒ 00:25:08.300 Uttam Kumaran: we can create a dummy account, as long as you share with that account, it’ll end up there, or if you share with me, it’ll end up there, I don’t know. Something?
254 00:25:08.300 ⇒ 00:25:13.950 Samuel Roberts: When I looked at that a little while ago, I figured out a way to figure out their API from.
255 00:25:15.030 ⇒ 00:25:15.400 Uttam Kumaran: Yeah.
256 00:25:15.400 ⇒ 00:25:18.499 Samuel Roberts: Open the… the app, basically, and it’s just like a…
257 00:25:18.860 ⇒ 00:25:26.019 Samuel Roberts: JavaScript app. So, like, it might have to be something running on your machine or something. That was granted months ago, maybe something’s changed, but…
258 00:25:26.020 ⇒ 00:25:27.179 Uttam Kumaran: We can figure it out.
259 00:25:27.770 ⇒ 00:25:28.440 Uttam Kumaran: Okay.
260 00:25:28.440 ⇒ 00:25:29.050 Robert Tseng: Okay.
261 00:25:29.360 ⇒ 00:25:32.950 Samuel Roberts: Man, the last thing I was gonna do is an internal dashboard on, like.
262 00:25:32.980 ⇒ 00:25:41.470 Uttam Kumaran: holistic company AI usage. So, like, usage from Granola, usage from Cursor, usage from ChatGBT, from Claude.
263 00:25:42.570 ⇒ 00:25:47.579 Uttam Kumaran: basically tied to people’s, like, profiles. It’d be like, how AI-driven are we?
264 00:25:47.810 ⇒ 00:25:48.590 Uttam Kumaran: Like…
265 00:25:49.870 ⇒ 00:25:59.699 Uttam Kumaran: Yeah, that’s most of the ideas I have. Oh, and the last piece is, I was gonna, I was gonna hook up Webflow. Webflow has, like, a cla… has a…
266 00:26:00.170 ⇒ 00:26:02.300 Uttam Kumaran: Cloud-hosted offering now?
267 00:26:02.430 ⇒ 00:26:07.919 Uttam Kumaran: Yeah, so basically what I’m gonna do is, like, part of the site, you can… you’re gonna be able to interact directly from
268 00:26:08.210 ⇒ 00:26:09.310 Uttam Kumaran: A repo?
269 00:26:09.600 ⇒ 00:26:14.709 Uttam Kumaran: And so, it’ll help for SEO, and it’ll help for any of us to update website content.
270 00:26:14.820 ⇒ 00:26:17.279 Uttam Kumaran: Without having to go through your Webflow designer.
271 00:26:18.270 ⇒ 00:26:18.940 Robert Tseng: Yeah.
272 00:26:19.210 ⇒ 00:26:23.470 Robert Tseng: I mean, I know you’re already working on, like, the deck, the deck.
273 00:26:23.470 ⇒ 00:26:24.580 Uttam Kumaran: Yeah, yeah.
274 00:26:26.120 ⇒ 00:26:33.259 Robert Tseng: I mean, what… do you think that’s something we could start using for across clients, and also on the sales side?
275 00:26:33.260 ⇒ 00:26:38.260 Uttam Kumaran: Well, dude, you should watch the meeting today. I used it for my part of the presentation today.
276 00:26:38.260 ⇒ 00:26:38.660 Robert Tseng: Oh, yeah?
277 00:26:38.660 ⇒ 00:26:42.759 Uttam Kumaran: And I also used Cursor to build my…
278 00:26:42.760 ⇒ 00:26:51.430 Samuel Roberts: deck for that presentation in the deck builder I built using Cursor today. What is it… what is it generating for that? Like, what does Cursor do? Like, how…
279 00:26:51.800 ⇒ 00:26:59.750 Uttam Kumaran: I have no… I literally have no clue. Okay. But… yeah, I have no idea. I mean, it’s like TypeScript or something. I gave it some runs.
280 00:26:59.750 ⇒ 00:27:00.210 Samuel Roberts: That’s why…
281 00:27:00.210 ⇒ 00:27:07.329 Uttam Kumaran: Yeah, yeah, yeah, okay. But, like, so it’s close. Yeah, it’s close. I’m probably, like, 3 hours away from it being, like.
282 00:27:08.110 ⇒ 00:27:19.150 Uttam Kumaran: like, something that we can use. The only problem is, well, I have to build also the export to PowerPoint, in case you want to move it to Google Slides. Yeah. But, like, yeah, it’s probably a few hours away.
283 00:27:19.400 ⇒ 00:27:20.000 Robert Tseng: Okay.
284 00:27:21.240 ⇒ 00:27:24.399 Uttam Kumaran: Yeah, and then basically, kind of, like, my thought is, is like…
285 00:27:24.900 ⇒ 00:27:29.900 Uttam Kumaran: At the end of the week, you should just get a version of the deck after… for all the transcripts.
286 00:27:30.790 ⇒ 00:27:34.309 Uttam Kumaran: You should just get a deck sent to you, or created somewhere.
287 00:27:34.310 ⇒ 00:27:34.670 Robert Tseng: Yeah.
288 00:27:34.670 ⇒ 00:27:36.030 Uttam Kumaran: At least you can start with it.
289 00:27:36.440 ⇒ 00:27:36.990 Robert Tseng: Yeah.
290 00:27:37.200 ⇒ 00:27:37.880 Uttam Kumaran: You know.
291 00:27:39.060 ⇒ 00:27:44.069 Uttam Kumaran: So, yeah, that’s also, like… That’s also there. I’ll write that down.
292 00:27:44.310 ⇒ 00:27:44.940 Robert Tseng: Okay.
293 00:27:45.170 ⇒ 00:27:49.920 Robert Tseng: Yeah, the other things, I mean, I’ll just drop a couple more, we don’t have to… it’s not urgent, but it’s just like…
294 00:27:50.040 ⇒ 00:28:08.340 Robert Tseng: I think our go-to-market team has a hard time tracking, like, engagements, especially… we have HubSpot integration, so emails are flowing through, LinkedIn messages don’t flow through, stuff that’s in Slack, but Utama and I, we’re always, like, posting, hey, this lead, that, that, it just doesn’t. Like, I’d rather just… I don’t know if there’s a way that we could just automatically, from…
295 00:28:08.340 ⇒ 00:28:15.770 Robert Tseng: like, through MMI’s, like, message in Slack, that it just automatically ends up in HubSpot. So, that’s… that’s kind of… might be a little.
296 00:28:15.770 ⇒ 00:28:16.320 Gabriel Lam: Oh, no.
297 00:28:16.320 ⇒ 00:28:17.149 Samuel Roberts: Back to HubSpot.
298 00:28:17.150 ⇒ 00:28:27.319 Uttam Kumaran: You know how I send… typically what I do is I wake up, if I’m… there’s a bunch of sales stuff, I say, like, hey, this thing had changed, this thing changed, this thing changed. Yeah. So my hope is that we develop, like, a HubSpot.
299 00:28:27.320 ⇒ 00:28:30.449 Robert Tseng: Yeah, that automatically goes in HubSpot. You don’t need Ryan to go and, like.
300 00:28:30.450 ⇒ 00:28:30.940 Uttam Kumaran: Yeah.
301 00:28:30.940 ⇒ 00:28:31.840 Robert Tseng: Yeah.
302 00:28:32.940 ⇒ 00:28:33.660 Uttam Kumaran: Yeah.
303 00:28:34.270 ⇒ 00:28:34.820 Robert Tseng: Yeah.
304 00:28:37.220 ⇒ 00:28:37.990 Robert Tseng: Okay.
305 00:28:38.270 ⇒ 00:28:39.020 Robert Tseng: Cool.
306 00:28:40.660 ⇒ 00:28:49.990 Uttam Kumaran: And then, basically, as I’m developing any of these, I’m also, like, for example, the MCPs, I’m writing, like, if you want to go develop your own for some other nth app.
307 00:28:50.350 ⇒ 00:28:54.029 Uttam Kumaran: Cursor will help you do that, given, like, our framework.
308 00:28:54.030 ⇒ 00:28:55.430 Robert Tseng: Yeah.
309 00:28:57.120 ⇒ 00:29:04.940 Uttam Kumaran: And then, yeah, I’m gonna try to just do first versions of a lot of different, like, types of things, like some type of dashboard thing, this deck-building thing.
310 00:29:04.940 ⇒ 00:29:05.760 Samuel Roberts: Like…
311 00:29:05.760 ⇒ 00:29:08.230 Uttam Kumaran: Something around diagramming, and that way, like.
312 00:29:08.350 ⇒ 00:29:17.980 Uttam Kumaran: the shittiest version of it exists, that way anyone can be like, I wanna make it better, okay, like, go for it. Versus, like, a lot of people are gonna have a hard time with the first part, which is, like.
313 00:29:18.650 ⇒ 00:29:20.970 Uttam Kumaran: Just getting it to work, in general.
314 00:29:22.610 ⇒ 00:29:31.290 Uttam Kumaran: So, like, that’s why… and then there’s no… there’s no, like, there’s no excuse, because I’m gonna be like, you just go do it, like… Yeah. Yeah. But some people may have this starting block.
315 00:29:31.400 ⇒ 00:29:32.280 Uttam Kumaran: Issue.
316 00:29:33.210 ⇒ 00:29:37.539 Samuel Roberts: Yeah. Yeah, adding features is different than building a whole new tool. I get that.
317 00:29:39.860 ⇒ 00:29:40.900 Robert Tseng: Okay.
318 00:29:40.900 ⇒ 00:29:41.580 Samuel Roberts: Sounds good.
319 00:29:42.720 ⇒ 00:29:47.089 Uttam Kumaran: And then Cursor can read PDFs now out of the box, so I don’t have to build a PDF reader.
320 00:29:48.030 ⇒ 00:29:48.730 Samuel Roberts: I think.
321 00:29:48.730 ⇒ 00:29:50.670 Robert Tseng: Well, I don’t know what was wrong with me, but I wasn’t reading.
322 00:29:50.670 ⇒ 00:29:51.559 Uttam Kumaran: No, it just came out.
323 00:29:51.560 ⇒ 00:29:54.530 Samuel Roberts: Yeah, the update just rolled.
324 00:29:54.530 ⇒ 00:29:56.910 Robert Tseng: Like, two days ago, it was not doing this, so…
325 00:29:56.910 ⇒ 00:29:59.010 Uttam Kumaran: That literally came out yesterday.
326 00:29:59.140 ⇒ 00:30:05.659 Uttam Kumaran: The app got, like, 40% better last night. That’s why I was updoing a bunch of stuff. I was like, this is crazy.
327 00:30:07.840 ⇒ 00:30:08.400 Robert Tseng: that.
328 00:30:08.650 ⇒ 00:30:14.749 Uttam Kumaran: Yeah, it was funny, dude, today I presented… I presented a slide… I presented slides about Kirscher.
329 00:30:14.990 ⇒ 00:30:19.469 Uttam Kumaran: And then I was like, I made this whole deck builder in cursor.
330 00:30:19.650 ⇒ 00:30:26.079 Uttam Kumaran: And then I showed the prompt that I used to make this cur- this deck about cursor.
331 00:30:26.080 ⇒ 00:30:26.650 Robert Tseng: Yeah.
332 00:30:26.700 ⇒ 00:30:32.359 Uttam Kumaran: And I was like, there’s no excuses anymore. I don’t know, this is crazy.
333 00:30:32.650 ⇒ 00:30:33.650 Uttam Kumaran: It’s nuts.
334 00:30:33.980 ⇒ 00:30:39.160 Robert Tseng: And then Hannah pinged me, because she wanted to… I shipped something about our brand guidelines.
335 00:30:39.640 ⇒ 00:30:44.960 Uttam Kumaran: And she’s like, I didn’t see the PR come through. I’m like, oh, dude, people are really in GitHub now, it’s great.
336 00:30:44.960 ⇒ 00:30:45.650 Robert Tseng: Wow.
337 00:30:46.670 ⇒ 00:30:47.390 Uttam Kumaran: That’s great.
338 00:30:47.390 ⇒ 00:30:48.040 Samuel Roberts: big.
339 00:30:49.350 ⇒ 00:30:50.480 Uttam Kumaran: It’s big.
340 00:30:52.660 ⇒ 00:30:53.570 Samuel Roberts: Love it.
341 00:30:54.540 ⇒ 00:30:56.219 Robert Tseng: Alright, that’s it for me, so…
342 00:30:56.800 ⇒ 00:30:57.700 Uttam Kumaran: Okay.
343 00:30:58.100 ⇒ 00:30:58.470 Uttam Kumaran: Cool.
344 00:30:58.470 ⇒ 00:30:59.020 Gabriel Lam: Dude.
345 00:30:59.480 ⇒ 00:31:00.869 Uttam Kumaran: Alright, thank you guys.
346 00:31:00.870 ⇒ 00:31:01.570 Robert Tseng: Alright, see ya.
347 00:31:01.800 ⇒ 00:31:02.230 Gabriel Lam: Guys.
348 00:31:02.530 ⇒ 00:31:03.719 Samuel Roberts: The, how’s it going, Al.