Meeting Title: Brainforge x Mixpanel Date: 2025-12-12 Meeting participants: Uttam Kumaran, Holly Condos, Hannah Wang, Jay Chitnis
WEBVTT
1 00:01:36.280 ⇒ 00:01:37.320 Holly Condos: How you doing?
2 00:01:38.000 ⇒ 00:01:39.910 Uttam Kumaran: I am good.
3 00:01:40.860 ⇒ 00:01:44.639 Uttam Kumaran: Almost done. This is the last scheduled meeting.
4 00:01:44.960 ⇒ 00:01:47.250 Holly Condos: You have… you’re having your party tonight?
5 00:01:47.580 ⇒ 00:01:48.730 Uttam Kumaran: Tonight, yes.
6 00:01:49.130 ⇒ 00:01:50.190 Holly Condos: How many people?
7 00:01:50.520 ⇒ 00:01:53.599 Uttam Kumaran: There are… at least 20 people coming.
8 00:01:54.780 ⇒ 00:02:10.719 Uttam Kumaran: Awesome. Never, never small parties around here. I just, like, I’m renting this house, and I love to just finally have people over. I used to have people at, like, my small apartment, but it’s great, and it’s all a lot of people, like, couples we’ve met here, and…
9 00:02:10.720 ⇒ 00:02:11.380 Holly Condos: Nice.
10 00:02:12.450 ⇒ 00:02:17.169 Uttam Kumaran: Yeah, we’re gonna… yeah, it should be really, really nice. So after this, I gotta run to the grocery store, and…
11 00:02:17.380 ⇒ 00:02:17.970 Holly Condos: Yeah.
12 00:02:17.970 ⇒ 00:02:18.940 Uttam Kumaran: And…
13 00:02:19.420 ⇒ 00:02:23.180 Holly Condos: Are you just doing, like, hors d’oeuvres? Are people bringing stuff?
14 00:02:23.180 ⇒ 00:02:30.719 Uttam Kumaran: No, we… we said… we said either set… like, I don’t really usually am, like, I’m not one to ask people for cash, but I like…
15 00:02:30.880 ⇒ 00:02:36.630 Uttam Kumaran: I’m like, okay, if we soften the blow, that’d be nice. I’m like, send me 10 bucks, or bring 10 bucks worth of snacks.
16 00:02:36.630 ⇒ 00:02:37.120 Holly Condos: No, I…
17 00:02:37.120 ⇒ 00:02:56.489 Uttam Kumaran: I think that’s… I think that’s reasonable. And so some people are… some people are bought in a little bit, and yeah, we’re… we… my girlfriend usually cooks, but both of us have been so busy, so we’re just gonna go pick up some stuff from the store, but we have a good spread, and then we have… I… I usually do the wine, so…
18 00:02:56.490 ⇒ 00:02:57.160 Holly Condos: Nice.
19 00:02:57.160 ⇒ 00:02:59.540 Uttam Kumaran: I’ll be going to Total Wine and doing some selection.
20 00:02:59.540 ⇒ 00:03:01.740 Holly Condos: Oh, I love that you have that there?
21 00:03:01.740 ⇒ 00:03:08.389 Uttam Kumaran: I love that place. I have been getting so into wine this year. It’s like an obsession.
22 00:03:08.730 ⇒ 00:03:13.759 Holly Condos: Have you, have you gone, like, wine tasting to Napa, or…
23 00:03:13.760 ⇒ 00:03:18.360 Uttam Kumaran: Yeah, so we… well, we’ve been in… so Fredericksburg is right outside of Texas here.
24 00:03:18.360 ⇒ 00:03:18.840 Holly Condos: Yes.
25 00:03:18.840 ⇒ 00:03:26.919 Uttam Kumaran: We’ve been there maybe 4 or 5 times. We went to Napa once, went to Anderson Valley, actually, like, Russian River area. That was great.
26 00:03:27.300 ⇒ 00:03:32.840 Uttam Kumaran: And then me and my girlfriend, we actually went to, Mendoza, which is where Baalbeck thrown.
27 00:03:32.840 ⇒ 00:03:33.350 Holly Condos: Yeah.
28 00:03:33.350 ⇒ 00:03:38.219 Uttam Kumaran: Yeah, so we went there, and we did, like, 4 days there, like, maybe last year.
29 00:03:38.630 ⇒ 00:03:39.990 Holly Condos: Very awesome.
30 00:03:39.990 ⇒ 00:03:42.860 Uttam Kumaran: add into wine, I just got obsessed. It’s just like…
31 00:03:43.020 ⇒ 00:03:48.829 Uttam Kumaran: so fun to, like… to, like, taste a bunch of things, and there’s, like, never-ending, and it’s a nice…
32 00:03:49.040 ⇒ 00:03:51.440 Uttam Kumaran: sort of, like, project to, like, get to…
33 00:03:51.440 ⇒ 00:03:59.909 Holly Condos: Super fun, super fun, and you meet some cool people, although I will say, We have some neighbors.
34 00:04:00.070 ⇒ 00:04:18.930 Holly Condos: who were kind of wine snobs, but they’ve sort of mellowed over the years. Like, you know, we’ve known him for, I don’t know, 20 years. He’s a interventional radiologist, grew up in Palo Alto. Okay. And she, she grew up in Paso Robles.
35 00:04:19.329 ⇒ 00:04:20.059 Uttam Kumaran: Oh, okay. Which is also…
36 00:04:20.060 ⇒ 00:04:27.290 Holly Condos: wine country, and she went to, UC Davis for law school, but then never actually practiced.
37 00:04:27.630 ⇒ 00:04:28.100 Uttam Kumaran: Hmm.
38 00:04:28.100 ⇒ 00:04:36.550 Holly Condos: So, you know, I mean, they know a lot of different people, and he’s got this huge wine cellar in his house, right? It’s amazing.
39 00:04:36.900 ⇒ 00:04:55.770 Holly Condos: And when we first met them, like, he… he and I usually cook, because we love to cook, right? So whoever’s house we would go to. Well, if he was cooking, I would bring wine, right? And the first few visits, he would just kind of, like, look down his nose, like, hmm, you know, where’s the…
40 00:04:56.130 ⇒ 00:04:56.880 Holly Condos: from.
41 00:04:57.200 ⇒ 00:04:59.779 Uttam Kumaran: I’m not… I’m not a… I’m not a snob, but…
42 00:05:00.250 ⇒ 00:05:09.920 Uttam Kumaran: I, and I… and no means, but I just, like, like to know what it is, and I’m like… it’s fun, because a lot of my friends don’t know wine that well, and I’m like.
43 00:05:09.920 ⇒ 00:05:10.290 Holly Condos: Yeah.
44 00:05:10.290 ⇒ 00:05:12.029 Uttam Kumaran: To get, get them into it.
45 00:05:12.140 ⇒ 00:05:16.220 Uttam Kumaran: But no means, like, no… like, yeah, I can’t… I’m never.
46 00:05:16.220 ⇒ 00:05:20.620 Holly Condos: You don’t seem like you would be like that at all. You seem like you’d be more fun.
47 00:05:20.620 ⇒ 00:05:28.690 Uttam Kumaran: We’re still only buying 30 bottles, like, we’re not doing, like, 50… we’re still not do… but you can find great wine…
48 00:05:28.740 ⇒ 00:05:44.919 Uttam Kumaran: in that price point, but I think that’s… but that’s what I’m trying to impart on some of my friends, is that I’m like, that wasn’t, like, $50, like, you just had to know where to buy it, and, like, just buy the same stuff, like, and again from the same places that are good.
49 00:05:44.920 ⇒ 00:05:53.220 Holly Condos: Exactly, and Total Wines is great for that, because they have sales, right? And they have the guys, or the people that can tell you about stuff.
50 00:05:53.220 ⇒ 00:05:54.000 Uttam Kumaran: Yes.
51 00:05:54.300 ⇒ 00:06:04.450 Uttam Kumaran: Yeah, so they were so… they’re so, so nice. And then I just, like… I’m a bad shopper at the grocery store, I just, like, stay for, like, so… I go every aisle.
52 00:06:04.630 ⇒ 00:06:06.920 Uttam Kumaran: every single aisle I walk.
53 00:06:07.110 ⇒ 00:06:08.830 Holly Condos: You’re, you’re a true chef.
54 00:06:09.240 ⇒ 00:06:16.979 Uttam Kumaran: Yeah, it’s just so… it’s just annoying for, like, for everybody involved, because I spent, like, an hour and a half, and then I talked to, like, the fish people.
55 00:06:16.980 ⇒ 00:06:17.570 Holly Condos: Yup.
56 00:06:17.570 ⇒ 00:06:23.179 Uttam Kumaran: to the meat people, I’m like, what is that? Like, how do you even… what is that? Like, where is that from, or how do you even cook that?
57 00:06:23.500 ⇒ 00:06:28.369 Holly Condos: Yeah, where do you… where are you shopping in Austin? You have Whole Foods, right?
58 00:06:28.370 ⇒ 00:06:31.259 Uttam Kumaran: There’s a… well, there’s a place called Central Market. It’s like…
59 00:06:31.260 ⇒ 00:06:31.770 Holly Condos: Okay.
60 00:06:31.940 ⇒ 00:06:34.790 Uttam Kumaran: It’s like, so HEB is the big grocery store here.
61 00:06:34.790 ⇒ 00:06:36.639 Holly Condos: Yeah, I’ve been there.
62 00:06:36.640 ⇒ 00:06:43.850 Uttam Kumaran: It’s like the Whole Foods component of HEB, and it’s, like, it’s amazing. So, it’s so, so nice.
63 00:06:45.070 ⇒ 00:06:47.609 Holly Condos: Yeah, I think I’ve been there once.
64 00:06:48.240 ⇒ 00:06:49.330 Uttam Kumaran: Yeah, it’s great.
65 00:06:49.720 ⇒ 00:06:53.040 Holly Condos: But I was visiting, right, so I wasn’t doing, like, a total giant show.
66 00:06:53.040 ⇒ 00:06:59.630 Uttam Kumaran: No, you should come to this… if you go to this Central Market store here, it’s so nice. Yeah, it’s great.
67 00:06:59.810 ⇒ 00:07:00.640 Holly Condos: Awesome.
68 00:07:03.860 ⇒ 00:07:06.449 Holly Condos: I think Jay is on. Hey, Jay. Hey, Jay!
69 00:07:06.450 ⇒ 00:07:07.910 Jay Chitnis: Hey guys, how’s it going?
70 00:07:07.910 ⇒ 00:07:09.290 Uttam Kumaran: Hey, good, how are you?
71 00:07:09.290 ⇒ 00:07:11.449 Jay Chitnis: All right. All right.
72 00:07:12.190 ⇒ 00:07:12.980 Uttam Kumaran: a week.
73 00:07:13.670 ⇒ 00:07:22.800 Jay Chitnis: It’s been a little bit, it’s, you know, like, everyone’s trying to, as I’m sure you guys are experiencing, everyone’s trying to close things out before the holidays and stuff, so it’s just…
74 00:07:22.800 ⇒ 00:07:23.150 Holly Condos: Yeah.
75 00:07:23.150 ⇒ 00:07:24.830 Jay Chitnis: Appreciate the flexibility.
76 00:07:24.830 ⇒ 00:07:38.489 Uttam Kumaran: Yeah, we had a sales call just now, and I was like, like, yeah, we have this whole plan, I was like, cool, and so we worked for the next few months, like, we need someone to do this for us by, like, January 1st.
77 00:07:39.080 ⇒ 00:07:43.909 Uttam Kumaran: And I was like, oh, okay, they’re like… I was like, what’s the timeline? They’re like.
78 00:07:44.030 ⇒ 00:07:48.310 Uttam Kumaran: like, as soon as possible, but, like, we’ll take January 1st, I’m like.
79 00:07:48.480 ⇒ 00:07:53.169 Uttam Kumaran: Okay, you could have called me, like, a few weeks ago when you knew that you.
80 00:07:53.170 ⇒ 00:07:53.620 Holly Condos: Right.
81 00:07:53.620 ⇒ 00:07:57.769 Uttam Kumaran: But, I said, we will try. I said, we will try.
82 00:07:57.800 ⇒ 00:08:01.549 Jay Chitnis: There you go. Anything you need help with? Is there something we can help you with, or no?
83 00:08:01.550 ⇒ 00:08:20.489 Uttam Kumaran: No, it’s not a… it’s not yet a analytics and AI project, but, we are starting to build out a few, we are also doing some AI application development projects where I just pinged the team that, like, as part of all those developments, like, we typically roll out
84 00:08:20.530 ⇒ 00:08:26.299 Uttam Kumaran: like, an analytics measurement tool, for all of them, so I basically messaged the team, like, we should just…
85 00:08:26.560 ⇒ 00:08:32.400 Uttam Kumaran: we should just consistently roll out with Mixpanel. So we have two of those going on right now, where we’re sort of deciding the stack.
86 00:08:32.559 ⇒ 00:08:33.330 Uttam Kumaran: Okay.
87 00:08:33.770 ⇒ 00:08:40.229 Uttam Kumaran: But, yeah, I mean, for all of our clients, it’s a mix of… it’s between you guys and Amplitude, usually. Yeah.
88 00:08:40.230 ⇒ 00:08:42.589 Jay Chitnis: Yeah, that makes sense. That makes perfect sense.
89 00:08:42.590 ⇒ 00:08:43.320 Uttam Kumaran: Yeah.
90 00:08:45.530 ⇒ 00:08:49.630 Uttam Kumaran: Cool, yeah, maybe, Holly, I can let you… I can let you drive this, yeah.
91 00:08:49.990 ⇒ 00:08:51.890 Holly Condos: Hannah, are you on?
92 00:08:52.580 ⇒ 00:08:53.590 Hannah Wang: Yeah, I’m here.
93 00:08:55.090 ⇒ 00:09:02.579 Holly Condos: Okay, here, I need to… Utam, I’m on my phone, I just need to go on my laptop if you want me to share the notion.
94 00:09:02.580 ⇒ 00:09:04.979 Uttam Kumaran: All good, I have the Notion up as well.
95 00:09:04.980 ⇒ 00:09:13.150 Holly Condos: Okay, great. Yeah, if you don’t mind just sharing that. So, Jay, I think, you and Mike had a chance to look at this, right?
96 00:09:13.850 ⇒ 00:09:20.269 Jay Chitnis: But it… Yep. I don’t think Mike has… it’s not relevant for Mike, but yeah, that’s okay.
97 00:09:20.270 ⇒ 00:09:29.149 Holly Condos: Okay, so maybe, I don’t think… I mean, we talked a little bit about it in the Slack channel, but maybe we want to just kind of get your thoughts.
98 00:09:29.150 ⇒ 00:09:29.880 Jay Chitnis: Yeah.
99 00:09:29.990 ⇒ 00:09:38.770 Jay Chitnis: Yeah, I think if there are some specific
100 00:09:39.790 ⇒ 00:09:47.470 Jay Chitnis: So, so, so let’s do this. What specific activity are you thinking
101 00:09:47.740 ⇒ 00:10:05.449 Jay Chitnis: maybe it’s in the January timeframe, or… or… or so, or call it calendar Q1. Are you thinking, like, webinars? Are you thinking kind of a show? You know, like the case study that you guys put together, which I’ve circulated internally, by the way, it’s great, well received.
102 00:10:06.320 ⇒ 00:10:06.960 Holly Condos: Good.
103 00:10:07.320 ⇒ 00:10:29.050 Jay Chitnis: Is that some… like, what would you guys like to do? Was it more of a demo? Is it… like, I can… because we can get some of our SEs to come in and say, hey, look, here’s what Mixpanel traditionally offers, and then here’s a whole bunch of other things that we can offer that sits on top, like a metric trees, or an experimentation, or session replay, or whatever.
104 00:10:29.050 ⇒ 00:10:29.940 Uttam Kumaran: Yeah.
105 00:10:29.940 ⇒ 00:10:34.670 Jay Chitnis: What are you thinking? Is it more technical? Is it more… what’s the purpose?
106 00:10:34.880 ⇒ 00:10:41.520 Uttam Kumaran: Yeah, I mean, I think we could do this… we’ve had success in two ways. One, we’ve done events where it’s mostly, like.
107 00:10:41.520 ⇒ 00:10:55.479 Uttam Kumaran: senior, like, engineers or, like, engineering leaders. But I don’t know, we’ve also had a lot of success with, like, growth leaders who are running B2B or B2C SaaS products that need a analytics solution.
108 00:10:55.480 ⇒ 00:11:11.309 Uttam Kumaran: that may have just turned on Post Hog or using Google Analytics and, you know, want to talk through one of these topics. In particular, like, we have several clients right now who are fast-growing Series B, Series C startups that are, like.
109 00:11:11.350 ⇒ 00:11:14.820 Uttam Kumaran: We just need some way to measure our product, and it’s actually…
110 00:11:14.990 ⇒ 00:11:30.679 Uttam Kumaran: it’s very, very convenient to have a chat about what’s typical, but also, like, typical, like, how do you benchmark growth, how do you look at users, you know, commonalities in a certain field. So I feel like…
111 00:11:30.770 ⇒ 00:11:36.949 Uttam Kumaran: My… personally, I’m more interested in talking to, like, heads of growth or heads of product than I am…
112 00:11:37.090 ⇒ 00:11:40.480 Uttam Kumaran: on the actual engineering side. Perfect.
113 00:11:40.890 ⇒ 00:11:57.000 Uttam Kumaran: you know, and for them, I think more of the messaging is gonna be around, like, what is possible with a product like Mixpanel that their team, or the tool they built to look at analytics, or what do they not… what do they not have at all? Like, I still find it very, very surprising that people are running
114 00:11:57.000 ⇒ 00:12:04.960 Uttam Kumaran: products, like, very, very blind, and they’re… they’re probably just, like, a few months away from implementing Mixpanel and getting a ton of insight.
115 00:12:05.030 ⇒ 00:12:08.099 Uttam Kumaran: And so, like, that is what I find…
116 00:12:08.430 ⇒ 00:12:16.530 Uttam Kumaran: compelling in our, like, implementation conversations. We can focus that on a set of features,
117 00:12:16.640 ⇒ 00:12:31.799 Uttam Kumaran: But I… I don’t know, I… I do like to… either we… we pick a certain sector, like B2B software, or we pick a particular sector and, like, an industry, and then just bring, like, kind of, like, growth and product leaders to talk about analytics.
118 00:12:32.080 ⇒ 00:12:35.050 Jay Chitnis: You know, we have a startup program
119 00:12:35.370 ⇒ 00:12:47.810 Jay Chitnis: So if that is of interest in the sense of, like, we have an outreach to start… we have a program that’s geared towards startups getting, you know, ramped up on MixedPanel.
120 00:12:49.860 ⇒ 00:12:55.380 Jay Chitnis: If that’s of interest, I can talk to Cherise and figure out…
121 00:12:56.110 ⇒ 00:13:11.260 Jay Chitnis: you know, what would that look like? And it might be a good sort of webinar-ish talk track around, like, hey, here’s the do’s and don’ts. Something like that. Is that what you’re thinking? Is that kind of what…
122 00:13:11.260 ⇒ 00:13:16.449 Uttam Kumaran: Yeah, I mean, we could go startup. The other thing is we could go, like, larger software.
123 00:13:16.740 ⇒ 00:13:32.669 Uttam Kumaran: You know, and focus more on… on larger, you know, companies that… they’re, like, kind of going through digital transformation, basically. They’re, like, trying to figure out what, you know, analytics looks like from their products. I think that’s where we’ve… we have both clients, you know.
124 00:13:32.670 ⇒ 00:13:40.820 Jay Chitnis: Yeah, I’m glad to hear you say that, because the software, the startup motion was going to be a little bit… a little bit…
125 00:13:40.820 ⇒ 00:13:41.490 Uttam Kumaran: Yeah, I’m probably.
126 00:13:41.490 ⇒ 00:13:43.409 Jay Chitnis: You know what I mean? Like, it’s a little bit different, yeah.
127 00:13:43.410 ⇒ 00:13:46.979 Uttam Kumaran: Yeah, if we… if we can find, you know, large…
128 00:13:47.010 ⇒ 00:14:02.769 Uttam Kumaran: or enterprise-sized, you know, product companies that we can tell are sort of going through a digital transformation, need to find… need to land on a product analytics solution, maybe are in that process, or don’t know how to evaluate, like, I feel like that’s…
129 00:14:02.780 ⇒ 00:14:21.009 Uttam Kumaran: That’s awesome, and that’s a lot of, like, the clients that we love to work with, is, like, guiding them through the procurement and the implementation process of, like, of this world, where a lot of people are new to this, or they’re coming into a place, and they don’t know, like, what’s possible. So, like, I think it would be up to us, Hannah, to maybe see, like.
130 00:14:21.180 ⇒ 00:14:37.320 Uttam Kumaran: if we can put together, like, a potential set of profiles, whether we… if we want to do a webinar, you know, we could just… we could also do that, but if we want to do an event in person, then we can sort of think about some profiles to align on, and then we would just blast it out and… and get some demand.
131 00:14:37.680 ⇒ 00:14:42.399 Jay Chitnis: I think, what… yeah, I think some profiles, looks like Hannah’s agreeing too, but I…
132 00:14:42.770 ⇒ 00:14:46.560 Jay Chitnis: If you want to do something, in terms of…
133 00:14:48.020 ⇒ 00:14:54.280 Jay Chitnis: in person, that would be great, but as long as it’s, you know, super targeted, right?
134 00:14:54.400 ⇒ 00:15:01.130 Jay Chitnis: And what I mean by that is, you know, like, I was at an event that OneSignal put on.
135 00:15:01.240 ⇒ 00:15:02.140 Uttam Kumaran: Okay.
136 00:15:02.440 ⇒ 00:15:08.140 Jay Chitnis: And it was in San Francisco, I’m gonna say…
137 00:15:09.690 ⇒ 00:15:28.570 Jay Chitnis: I think the goal there for them was, you know, there was the… there was the presentation pitch, and then there was, like, the, the happy hour. More people showed up to the happy hour than the presentation pitch, right? It’s like 25, 30 people showed up to the presentation, which I thought was actually pretty decent. And then, like, 200 showed up to the happy hour, and I’m like, okay.
138 00:15:28.570 ⇒ 00:15:29.490 Uttam Kumaran: Yeah.
139 00:15:29.490 ⇒ 00:15:33.220 Jay Chitnis: I don’t… I don’t know what kind of value they got out of that.
140 00:15:33.220 ⇒ 00:15:33.940 Uttam Kumaran: Yeah.
141 00:15:34.510 ⇒ 00:15:54.469 Uttam Kumaran: Well, so there’s, like, two… so there’s two things that we’ve done, and one of them, I think, was… so one thing we did with a partner is basically we were… one of our partners, they’re an ETL tool, they’re, like, a big competitor of Fivetran. We did, like, a thing where we brought in a bunch of, like, you know, data engineering leaders, and we started with, like.
142 00:15:54.570 ⇒ 00:16:02.859 Uttam Kumaran: a little bit of dinner, and we… everybody sort of met each other over an hour. And then we sort of talked about, like, data movement and issues, kind of like a little bit of a fireside.
143 00:16:02.910 ⇒ 00:16:22.640 Uttam Kumaran: And that was great. Another great event that I went to was hosted by Click House. They actually brought in, like, 2 or 3, like, big-time ClickHouse users to just present on cool stuff they’re doing within Click House. And given your… I mean, your product is very visual, I wonder if there’s something…
144 00:16:22.870 ⇒ 00:16:30.219 Uttam Kumaran: possible where we can get, like, users or people who are big Mixpanel fans in an area to come present? I mean, it’s tough because
145 00:16:30.340 ⇒ 00:16:33.719 Uttam Kumaran: I guess they would pre… they’d have to present on their own data, but…
146 00:16:33.720 ⇒ 00:16:34.530 Jay Chitnis: Right, right.
147 00:16:34.530 ⇒ 00:16:38.329 Uttam Kumaran: So, like, that’s sort of, like, was really nice, because you’re not, like.
148 00:16:38.800 ⇒ 00:16:45.209 Uttam Kumaran: By just having people that love the product there, and having a bunch of other people that are interested in product analytics.
149 00:16:45.340 ⇒ 00:17:01.279 Uttam Kumaran: it’s, like, awesome, like, those… there’s, like, so much to chat about. So that could be cool, like, we could basically go try to canvas… like, if we were to take Austin, for example, I would just go look… I would just try to get a sense from you on, like, who’s, like, who are the big, you know, usage companies here in Austin? I would look through people.
150 00:17:01.700 ⇒ 00:17:14.490 Uttam Kumaran: my network or our network that are big in product analytics, and then just bring… do, like, a little bit of, like, what’s the state of product analytics, you know, and kind of sponsored by… by MixedPanel.
151 00:17:14.490 ⇒ 00:17:24.169 Jay Chitnis: I think that would be awesome. If you want to… so, I love it. I love the idea, like, if you want to be that, you know, targeted in Austin, I think that would be great. Yeah.
152 00:17:24.599 ⇒ 00:17:30.059 Jay Chitnis: We could certainly do that. I can look and see what sort of coverage we have of customers.
153 00:17:30.060 ⇒ 00:17:42.980 Uttam Kumaran: I do think we want to have Mixpanel customers… I want to have Mixpanel… existing Mixpanel customers and, like, people that love the product there, in addition to us. That itself will sell the product, right?
154 00:17:43.700 ⇒ 00:17:58.590 Uttam Kumaran: I think we could totally… we could totally do a demo, and I would love to have folks from MixedPanel there, and we could do a… we could do, like, a 5-minute demo, like, here’s the latest, but I think for folks that work and do great work in data, we go to a lot of these events, like.
155 00:17:58.590 ⇒ 00:18:12.320 Uttam Kumaran: just being able to be around other people that care a lot about product analytics, it will be awesome. People will get convinced in that setting to… to consider moving tools, or to consider implementing new things, I feel like, you know?
156 00:18:12.320 ⇒ 00:18:13.580 Holly Condos: of buzz, right?
157 00:18:13.580 ⇒ 00:18:16.909 Uttam Kumaran: Yeah. And, like, I don’t know, there’s not… there’s not much…
158 00:18:17.180 ⇒ 00:18:26.299 Uttam Kumaran: like that here, at least in Austin. I know there’s… there’s… in New York, there was, like, sort of some product analytics-related meetups, but again, they were just, like.
159 00:18:26.900 ⇒ 00:18:40.950 Uttam Kumaran: there were just people getting a beer, and, like, I work in product analytics, and, like, it’s just people at a bar, like, it wasn’t so formalized, and we would go basically try to get a mix of people who are maybe new to this world, people who have been doing product analytics their whole career, and so…
160 00:18:40.950 ⇒ 00:18:53.260 Uttam Kumaran: the way we pitch it is, like, what is it worth to those people, right? Like, for some of the more senior people, it’s maybe to meet other people here in Austin, it’s to meet the folks at Mixpanel and talk about, like, Roadmap.
161 00:18:53.260 ⇒ 00:19:02.840 Uttam Kumaran: for the folks that are earlier in their career, or earlier to this world, it’s, like, learning a lot about this. And so that’s how we would kind of, like, target
162 00:19:02.850 ⇒ 00:19:06.109 Uttam Kumaran: But it would be, like, very, very targeted, like,
163 00:19:06.450 ⇒ 00:19:12.100 Uttam Kumaran: We would probably end up inviting, like, 100 people, and probably end up getting, like, 20 or 30 people there.
164 00:19:12.260 ⇒ 00:19:19.680 Jay Chitnis: Yeah, perfect. So if you… so if you guys wanna, like, so… so here’s where my marketing team’s gonna come back and… and kind of…
165 00:19:20.370 ⇒ 00:19:27.509 Jay Chitnis: They’ll come back and say, they could probably help with… the,
166 00:19:28.740 ⇒ 00:19:40.839 Jay Chitnis: identifying who’s in that area, right? They could probably throw some budget at it, but what will be difficult is… and I don’t know, so I’ll go look,
167 00:19:40.840 ⇒ 00:19:41.240 Uttam Kumaran: That’s right.
168 00:19:41.240 ⇒ 00:19:54.910 Jay Chitnis: I don’t know what… like, what kind of… if we have people in Austin, you know, if we have mixed panelers there, what their roles are, are they… are they customer-facing, are they not? You know, like, I just want to make sure that it’s relevant there. Yeah.
169 00:19:54.910 ⇒ 00:19:55.699 Uttam Kumaran: I mean, I’m just thinking…
170 00:19:55.700 ⇒ 00:19:56.450 Jay Chitnis: Yeah.
171 00:19:56.450 ⇒ 00:20:03.400 Uttam Kumaran: I’m just saying Austin because I’m here, but we could also do this in a few other areas, so just using it as an example.
172 00:20:03.400 ⇒ 00:20:21.589 Jay Chitnis: You want to do it, like, the… I think I mentioned last time, like, San Francisco, New York, LA are our big ticket items, areas. Dallas… Dallas and Atlanta, I know Kara has mentioned that she was interested in doing stuff, so Austin could kind of fit into that bucket. Yeah.
173 00:20:21.680 ⇒ 00:20:31.949 Jay Chitnis: But if you… if… just to make it super actionable and super, you know, focused, if you write up even just a quick abstract and, like, you know.
174 00:20:31.950 ⇒ 00:20:32.440 Uttam Kumaran: Totally.
175 00:20:32.480 ⇒ 00:20:45.300 Jay Chitnis: 10 sentences on, like, who, how many, you know, if it’s in Austin… I love the fact that it’s in Austin, by the way. I think it would be, especially if you’re there, and if… and if you’ve got a set of customers there, that’s even better.
176 00:20:45.300 ⇒ 00:21:03.299 Jay Chitnis: Because it would, it would definitely introduce them into a different space. You know what might be relevant? Maybe we can get some of our SMB or other mid-market sellers there. I’ve got a really good seller who… she’s based in Phoenix, or outside of Phoenix, or something like that.
177 00:21:03.300 ⇒ 00:21:06.009 Jay Chitnis: Okay. She might be, she could certainly.
178 00:21:06.010 ⇒ 00:21:09.649 Uttam Kumaran: Is it focused on a particular industry, or just anything else? Okay.
179 00:21:09.850 ⇒ 00:21:12.079 Jay Chitnis: It’s… it’s pretty horizontal.
180 00:21:12.080 ⇒ 00:21:20.269 Uttam Kumaran: Yeah, in Austin, you have… you have both, like, a large digital transformation type stuff, and you have startups, like…
181 00:21:20.570 ⇒ 00:21:26.349 Uttam Kumaran: mid-market is okay, like, but I would say in, like, a Dallas, you have a lot.
182 00:21:26.370 ⇒ 00:21:42.389 Uttam Kumaran: And then, like, for example, both Hannah and Holly are in SoCal, like, I’m from the Bay Area originally, and so is my business partner, Robert, and he’s in New York, so we can do that. So I’ll basically… how about we flesh what we just mentioned out, and we’ll be, like, substitute
183 00:21:42.980 ⇒ 00:21:45.400 Uttam Kumaran: Any of these cities, depending on where we want to do.
184 00:21:45.400 ⇒ 00:21:46.950 Holly Condos: Different geo, yeah.
185 00:21:46.950 ⇒ 00:22:03.070 Uttam Kumaran: And then, basically, it’s like, if you have people that maybe, like, were past customers, that’s… for us, it’s like, I would love to go somewhere where we can circle back with some people and be like, we’re coming to town. So, same with you guys, if there’s people that you’ve talked to. Additionally, of course, existing customers who, like, love the product.
186 00:22:03.070 ⇒ 00:22:16.869 Uttam Kumaran: And then for us, it’s like, we’re just gonna get really great data people there. And then we’ll think about the format. But for us, all the format when we do an event is, like, definitely invite-only, some type of, like, meet everybody first.
187 00:22:17.170 ⇒ 00:22:17.900 Jay Chitnis: I mean…
188 00:22:17.900 ⇒ 00:22:20.899 Uttam Kumaran: We have some structure, and then it’s like a…
189 00:22:21.270 ⇒ 00:22:25.990 Uttam Kumaran: hang out, you know? And, like, that’s what’s worked for us really well, versus…
190 00:22:26.420 ⇒ 00:22:33.410 Uttam Kumaran: come in and it’s, like, super formal presentation, or come in and there’s, like, no structure, it’s, like, just drink, you know, so…
191 00:22:33.410 ⇒ 00:22:34.180 Jay Chitnis: Right, right, right.
192 00:22:34.180 ⇒ 00:22:40.760 Uttam Kumaran: That’s what I want to avoid, both of those, like, I don’t want to do that. So…
193 00:22:40.760 ⇒ 00:22:53.159 Jay Chitnis: I think if you could flesh this out a little more, and if you need budget, that’s fine, you know, we can talk about budget and stuff. What would be really interesting, though, is,
194 00:22:53.980 ⇒ 00:23:02.999 Jay Chitnis: You know, I’ll tell you, like, I’ll air some dirty laundry. Like, we had a… we had an event that we were doing in New York, where it was, like, a…
195 00:23:03.300 ⇒ 00:23:07.800 Jay Chitnis: Call it, like, one of these, you know, swanky…
196 00:23:08.310 ⇒ 00:23:10.750 Jay Chitnis: Michelin star chef, and blah blah.
197 00:23:11.200 ⇒ 00:23:12.200 Jay Chitnis: You know, you’re like, okay.
198 00:23:12.630 ⇒ 00:23:16.830 Jay Chitnis: It shouldn’t be hard to get people. It was really hard for our sales reps to get.
199 00:23:16.830 ⇒ 00:23:17.390 Holly Condos: Really?
200 00:23:17.390 ⇒ 00:23:18.200 Jay Chitnis: Yeah.
201 00:23:18.200 ⇒ 00:23:18.590 Holly Condos: medical…
202 00:23:18.590 ⇒ 00:23:26.959 Jay Chitnis: It’s kind of surprising. So I didn’t know if it was just our sales reps didn’t… weren’t as adept at doing that, or if it was just, like, it was…
203 00:23:26.960 ⇒ 00:23:43.700 Uttam Kumaran: I don’t know if it’s our movie magic or whatever, but I think when people get… we just reach out to people in a very direct way, and I’ve been in their position as, like, a data leader, and I was used to just getting hit up by vendors, but I think it’s coming from, like, my account or something that…
204 00:23:43.760 ⇒ 00:23:48.240 Uttam Kumaran: and it’s like, I’m here or local, I don’t know, it just was worked every time, like, we haven’t had a.
205 00:23:48.240 ⇒ 00:23:51.429 Jay Chitnis: Well, look, we’ll take it.
206 00:23:51.430 ⇒ 00:23:53.070 Uttam Kumaran: I don’t want to jinx it, I really don’t want.
207 00:23:53.380 ⇒ 00:23:58.159 Holly Condos: But we have not had an issue. And then we also, like, because we work with, like.
208 00:23:58.220 ⇒ 00:24:06.850 Uttam Kumaran: folks in Snowflake, like, I work… we work with all partners in the data stack, so I’m just gonna hit the people I know there up, you know, so it’s like, I don’t know.
209 00:24:06.850 ⇒ 00:24:07.940 Jay Chitnis: Absolutely.
210 00:24:07.940 ⇒ 00:24:11.719 Uttam Kumaran: I don’t feel like we’re gonna have… That issue…
211 00:24:11.850 ⇒ 00:24:15.019 Uttam Kumaran: But again, like, knock on whatever, but I feel like… I feel okay.
212 00:24:15.020 ⇒ 00:24:30.370 Jay Chitnis: Knocking on my wood, too, here. Okay, there you go. Okay, well, you know what, if you guys are, like, I mean, even better, right? So if you guys are good at being able to get the right sort of folks in, even better, I’ll definitely, if you can flesh this out a little more in terms of, like.
213 00:24:30.510 ⇒ 00:24:45.119 Jay Chitnis: you know, what… are you thinking of a cadence? Like, you know, maybe… maybe, let’s say, calendar Q1 in one of these cities, calendar Q2 in another, then we evaluate, or what… whatever. The way I’m pitching it is, internally, is
214 00:24:45.420 ⇒ 00:24:57.600 Jay Chitnis: I really want to do things that are, some experiments, and we can… we can learn and then invest it. I don’t, you know, I’m not asking our team to go and invest a whole slew of,
215 00:24:57.600 ⇒ 00:24:58.190 Uttam Kumaran: Yeah.
216 00:24:58.190 ⇒ 00:25:03.609 Jay Chitnis: resources, you know, with a… with a 12-month view out. I’d love to do that, but that’s… we’re not there yet.
217 00:25:03.610 ⇒ 00:25:04.210 Uttam Kumaran: Yeah.
218 00:25:04.220 ⇒ 00:25:17.269 Uttam Kumaran: Yeah, so let’s… so let’s do that. I think also, tell us what your marketing team, like, also would like out of this. And for us, like, we usually film, do photos, we’ll have all those assets, like, basically handed back.
219 00:25:17.270 ⇒ 00:25:30.590 Uttam Kumaran: I mean, we usually do pre-during posts, like, socials and stuff like that, so we’ll make sure that’s also in there, but if there’s anything else that they’d like, that you think they’d like to see, you know, us handle or collaborate on, like, we’ll make sure that’s in that doc.
220 00:25:30.770 ⇒ 00:25:36.850 Jay Chitnis: Let me, I was gonna invite Kara to this discussion, but she was at an event,
221 00:25:37.260 ⇒ 00:25:40.190 Jay Chitnis: Believe it or not, in Sao Paulo. Anyway,
222 00:25:41.380 ⇒ 00:25:44.080 Jay Chitnis: Maybe what we… when you get the… when you put together.
223 00:25:44.080 ⇒ 00:25:50.379 Uttam Kumaran: I’ll put it together, maybe email it… email or Slack it over, and then let’s just… we can chat when that’s there.
224 00:25:50.650 ⇒ 00:25:52.899 Holly Condos: Yeah, and we can add her to the Slack, Jay.
225 00:25:52.920 ⇒ 00:25:53.710 Uttam Kumaran: Yeah.
226 00:25:53.710 ⇒ 00:25:55.250 Jay Chitnis: Yeah, absolutely, yeah.
227 00:25:55.820 ⇒ 00:26:03.670 Uttam Kumaran: Okay, great. Yeah, and then I feel like for us, where we’re gonna lean on is, like, yeah, what… well, I think where we’ll kind of collaborate more is, like, on the topic.
228 00:26:04.160 ⇒ 00:26:05.240 Uttam Kumaran: But…
229 00:26:05.240 ⇒ 00:26:07.140 Jay Chitnis: I think the topic is… I think you’re right.
230 00:26:07.140 ⇒ 00:26:26.210 Uttam Kumaran: I think the topic, I think as I start to think about, like, we’ll start to look through people, and I’ll brainstorm with Robert and our internal, like, kind of analytics folks on, like, okay, if we were to hit this group, like, what are some… what are some really, like, dense topics that would lead to great discussion, you know, so… Yeah. Okay. Okay, cool.
231 00:26:26.210 ⇒ 00:26:28.500 Holly Condos: Awesome. Yeah, anything else?
232 00:26:28.960 ⇒ 00:26:42.219 Jay Chitnis: No, I think… like, the more we could… and by the way, if you guys want to do, you know, if it’s a digital kind of show and tell, happy to do that. If you want a little… you know, I’m…
233 00:26:43.060 ⇒ 00:26:50.110 Jay Chitnis: I hesitate on those sometimes, because it’s like, you know, generally I wouldn’t go and listen in on those, but maybe I’m not the right sort of…
234 00:26:50.110 ⇒ 00:26:52.680 Uttam Kumaran: No, webinars… webinar is very, very tough.
235 00:26:52.960 ⇒ 00:26:53.370 Uttam Kumaran: Yeah.
236 00:26:54.000 ⇒ 00:26:59.619 Uttam Kumaran: like, we have not had luck. Like, I’m not gonna say we’ve done really great there. We’ve done them.
237 00:26:59.900 ⇒ 00:27:05.999 Uttam Kumaran: because they’re good assets, and they’re recorded, and they’re, like, really cheap, because I can just sit here and sort of chat, but…
238 00:27:06.060 ⇒ 00:27:24.069 Uttam Kumaran: it’s… it’s not really engaging. I wonder, like, if we can do something more private, invite-only, with someone that… but I don’t know, it’s, like, not… like, in e-commerce, they do a lot where it’s like, oh, it’s the CEO of, like, some big e-commerce company comes and, like, chats, but in data, it’s not really, like.
239 00:27:24.240 ⇒ 00:27:24.820 Jay Chitnis: Yeah.
240 00:27:24.820 ⇒ 00:27:38.230 Uttam Kumaran: It’s not really like that, so I don’t know the power of the webinar, but I do want to think about what a powerful demo could be when people are in the room, especially given how visual the product is. I think we’ll get creative with, like.
241 00:27:39.570 ⇒ 00:27:45.289 Uttam Kumaran: can we, like, have Mixpanel up a couple places, or, like, something, but, like…
242 00:27:45.390 ⇒ 00:27:55.070 Uttam Kumaran: it’s… I don’t know, I feel like, like, for people to see, like, what a North Star, like, product analytics dashboard could look like, or a funnel analysis, or something.
243 00:27:55.250 ⇒ 00:27:58.660 Uttam Kumaran: I feel like we’ll try to fit something like that in there.
244 00:27:58.960 ⇒ 00:28:01.810 Jay Chitnis: That’d be… that’d be cool. If we could do that, I think that…
245 00:28:01.810 ⇒ 00:28:07.400 Uttam Kumaran: Sometimes people can’t see it, and the product is so visual that, like, I feel like you should take advantage of that.
246 00:28:07.400 ⇒ 00:28:08.570 Holly Condos: Yeah, agreed.
247 00:28:09.280 ⇒ 00:28:13.209 Uttam Kumaran: Yeah, but again, it’s like, for us, it’s the balance of, like, I don’t want it to be, like.
248 00:28:13.260 ⇒ 00:28:20.060 Jay Chitnis: you know, when you go to a show, and they’re like, hey, do you mind 5 seconds for, like, a demo? Can I sign you up for, like, follow up? Like, you know, it’s like…
249 00:28:20.330 ⇒ 00:28:26.790 Uttam Kumaran: In between, like, yeah, we’re holding everyone hostage, but also people do want to, like, learn more about fragment, you know, something in the middle there, so…
250 00:28:26.790 ⇒ 00:28:27.910 Jay Chitnis: Something in the middle, I agree.
251 00:28:28.930 ⇒ 00:28:30.930 Jay Chitnis: If you,
252 00:28:31.450 ⇒ 00:28:39.119 Jay Chitnis: And if you have a cluster of customers where you’re thinking, you know, maybe it’s… I know it’s a Denver on there.
253 00:28:39.270 ⇒ 00:28:39.810 Uttam Kumaran: Yeah.
254 00:28:39.810 ⇒ 00:28:57.870 Jay Chitnis: Great, that’s okay, too. We’re open to that. I think the biggest thing for me is just gonna be, let’s make sure that we’re clear on what we expect as an ROI. And frankly, the other thing is, you know, there are some other mixed panel events that I’ll make sure you guys are.
255 00:28:57.870 ⇒ 00:28:59.080 Uttam Kumaran: Oh, yeah, please.
256 00:28:59.210 ⇒ 00:29:04.770 Jay Chitnis: Then that way, we can kind of plan around… you can plan around that, you can obviously attend, but then, you know.
257 00:29:04.770 ⇒ 00:29:06.200 Holly Condos: That’d be great, yeah.
258 00:29:06.200 ⇒ 00:29:14.920 Uttam Kumaran: Yeah, yeah, yeah, 100%. If there’s anything we can promote, and if there’s anything our folks can attend, especially if it’s in LA, New York, on the day, for sure.
259 00:29:14.920 ⇒ 00:29:20.510 Jay Chitnis: Yeah. I know Iterable is doing a big conference in LA in…
260 00:29:20.510 ⇒ 00:29:20.980 Uttam Kumaran: Okay.
261 00:29:21.360 ⇒ 00:29:22.040 Jay Chitnis: No.
262 00:29:22.770 ⇒ 00:29:27.729 Jay Chitnis: You could look it up on their website, I forget when, I think… I thought it was calendar Q1.
263 00:29:28.370 ⇒ 00:29:29.719 Holly Condos: Okay, I’ll check it out.
264 00:29:29.720 ⇒ 00:29:38.549 Jay Chitnis: It’s like a 3-day event, in LA. And then they’re also rinsing and repeating in San Francisco, New York, and London, I think.
265 00:29:38.550 ⇒ 00:29:39.600 Holly Condos: Oh, wow.
266 00:29:39.600 ⇒ 00:29:52.669 Jay Chitnis: Yeah, but those are one-day events. But, yeah, we, we can definitely do some, some more, flesh that out, and then let’s, let’s go see what, let’s go, and then I can go and sell it internally, and we’ll go from there.
267 00:29:52.900 ⇒ 00:29:58.969 Uttam Kumaran: Are you guys growing? In terms of features, are you guys doing anything on the, like, AI side, or how has it been, like…
268 00:29:59.200 ⇒ 00:30:04.850 Uttam Kumaran: Yeah, maybe that’s something that I’d love to, like, just hear and think about as we’re, like, deciding on topics.
269 00:30:04.850 ⇒ 00:30:11.389 Jay Chitnis: Yeah, yeah, AI’s definitely gonna be a big push for us in the first quarter of next year.
270 00:30:11.390 ⇒ 00:30:11.940 Uttam Kumaran: Okay.
271 00:30:11.940 ⇒ 00:30:13.600 Jay Chitnis: There’ll be a lot more functionality coming out.
272 00:30:13.600 ⇒ 00:30:23.259 Uttam Kumaran: Okay, okay. So yeah, if there’s… if we can hi… even if we can highlight stuff, like, if you end up rolling out, like, an MCP, and, like, chat with… chat with the dash, like, that stuff is gonna…
273 00:30:23.940 ⇒ 00:30:32.440 Uttam Kumaran: Like, all of our clients are asking about chat with data use cases, and how do you accelerate and open up
274 00:30:32.810 ⇒ 00:30:39.360 Uttam Kumaran: like, access the data through chat for people that maybe aren’t used to doing dashboards and stuff. So if there’s feature…
275 00:30:39.360 ⇒ 00:30:40.330 Jay Chitnis: Yeah, yeah.
276 00:30:40.330 ⇒ 00:30:48.439 Uttam Kumaran: Yeah, so, like, if you guys are rolling stuff like that out, and we can time it with that, or maybe the Q2 one is sort of timed around that, like.
277 00:30:48.570 ⇒ 00:31:02.130 Uttam Kumaran: that is, like, really… that’s basically what we… a lot of what we sell. Okay. When we implement tools, it’s like, how is this part of, like, this tool has a lot of AI strategy within it, and, you know, makes it easy for a team to get insights out of, so…
278 00:31:02.330 ⇒ 00:31:03.060 Jay Chitnis: Got it.
279 00:31:03.650 ⇒ 00:31:04.950 Jay Chitnis: Okay.
280 00:31:05.240 ⇒ 00:31:05.960 Uttam Kumaran: Cool.
281 00:31:07.190 ⇒ 00:31:07.850 Jay Chitnis: Okay, awesome.
282 00:31:07.850 ⇒ 00:31:08.350 Holly Condos: So.
283 00:31:08.910 ⇒ 00:31:12.479 Jay Chitnis: I’ll let you get back to your January 1 deadline. Yeah, thank you.
284 00:31:12.480 ⇒ 00:31:14.000 Holly Condos: Thanks.
285 00:31:15.950 ⇒ 00:31:18.050 Uttam Kumaran: That’s after the weekend, that’s after the weekend, yeah.
286 00:31:18.050 ⇒ 00:31:19.620 Jay Chitnis: Yeah, there you go, yeah.
287 00:31:19.620 ⇒ 00:31:22.609 Uttam Kumaran: I haven’t signed any paper yet, so I’m not working until they sign it.
288 00:31:22.610 ⇒ 00:31:38.830 Jay Chitnis: There you go, that’s a fair point. Absolutely, absolutely. But yeah, let’s, happy to do that, and then if you just zap that over, if you email a Slack, whatever, I’ll run it by Kara, and then, just note that we’re closed
289 00:31:38.980 ⇒ 00:31:44.760 Jay Chitnis: Pretty much starting the 23rd. 22nd, 23rd, okay.
290 00:31:44.760 ⇒ 00:31:45.190 Uttam Kumaran: 10.
291 00:31:45.660 ⇒ 00:31:50.800 Jay Chitnis: Through… through the end of the… through, like, the 4th, or whatever that Monday is.
292 00:31:50.800 ⇒ 00:31:51.530 Holly Condos: Perfect.
293 00:31:51.530 ⇒ 00:31:57.189 Jay Chitnis: Okay. Okay, okay, great. Sounds great. Thanks, Jay. Thanks, guys. Have a good weekend. Thanks, everyone.
294 00:31:57.450 ⇒ 00:31:58.160 Holly Condos: See ya.