Meeting Title: Uttam Kumaran’s Personal Meeting Room Date: 2025-01-03 Meeting participants: Luke Daque, Nicolas Sucari, Uttam Kumaran, Miguel De Veyra, Casie Aviles, Connor Fenn
WEBVTT
1 00:00:46.850 ⇒ 00:00:48.730 Luke Daque: Hey, guys.
2 00:00:48.730 ⇒ 00:00:49.530 Uttam Kumaran: Hey?
3 00:00:55.840 ⇒ 00:00:56.970 Uttam Kumaran: What’s up? Dude?
4 00:00:58.830 ⇒ 00:01:00.700 Luke Daque: Doing well doing? Well, how’s everyone.
5 00:01:01.360 ⇒ 00:01:04.050 Uttam Kumaran: Good. I’m excited for bigquery next week.
6 00:01:04.810 ⇒ 00:01:07.989 Uttam Kumaran: You do some. You said you did some bigquery stuff right? Are you used.
7 00:01:07.990 ⇒ 00:01:12.139 Luke Daque: Yeah, I used to. I have more experience in with big query.
8 00:01:12.140 ⇒ 00:01:13.270 Uttam Kumaran: Yeah, that’s what I remember.
9 00:01:13.270 ⇒ 00:01:14.460 Luke Daque: Yeah.
10 00:01:15.710 ⇒ 00:01:16.540 Uttam Kumaran: Okay. Cool.
11 00:01:20.830 ⇒ 00:01:25.080 Luke Daque: Hopefully, their data isn’t as messy, you know.
12 00:01:25.430 ⇒ 00:01:29.030 Uttam Kumaran: Yeah, no, I think honestly, I think we’ll probably just do.
13 00:01:29.280 ⇒ 00:01:31.350 Uttam Kumaran: We’ll set up Dbc cloud.
14 00:01:31.890 ⇒ 00:01:32.740 Luke Daque: Right.
15 00:01:32.740 ⇒ 00:01:38.979 Uttam Kumaran: Because it’s just it’s just gonna be you, probably and then
16 00:01:39.130 ⇒ 00:01:41.609 Uttam Kumaran: we’ll do Github, and you know, set that all up next week.
17 00:01:42.320 ⇒ 00:01:43.150 Luke Daque: Cool.
18 00:01:43.380 ⇒ 00:01:48.729 Luke Daque: Yeah, it should be pretty straightforward for the setup, I guess.
19 00:02:08.139 ⇒ 00:02:16.229 Uttam Kumaran: We have a couple. Well, as usual, I’m gonna put some people on the spot for Demos. But we’ve been working on this really interesting AI demo today.
20 00:02:17.089 ⇒ 00:02:22.939 Uttam Kumaran: Well, actually, 2 things. Miguel’s working on something. And Casey’s working on something. I wanna show that off
21 00:02:23.701 ⇒ 00:02:27.979 Uttam Kumaran: and then we can talk about the 2 new clients with everybody that we’re signing on to
22 00:02:31.919 ⇒ 00:02:33.819 Uttam Kumaran: Casey. Can you message Miguel?
23 00:02:36.213 ⇒ 00:02:36.900 Casie Aviles: Sure. Sure.
24 00:02:37.360 ⇒ 00:02:38.390 Casie Aviles: Me dug in.
25 00:03:34.080 ⇒ 00:03:37.239 Uttam Kumaran: Nico. You look like you’ve been in the sun too much.
26 00:03:39.230 ⇒ 00:03:40.920 Nicolas Sucari: I don’t.
27 00:03:41.150 ⇒ 00:03:42.270 Nicolas Sucari: I mean.
28 00:03:42.380 ⇒ 00:03:50.237 Nicolas Sucari: I don’t know. Maybe it’s the lightning, the light here, because it’s been cloudy for the past like 10 days.
29 00:03:50.880 ⇒ 00:03:54.350 Uttam Kumaran: Or what I thought it was gonna like, Get sunny, did I?
30 00:03:54.350 ⇒ 00:03:58.139 Nicolas Sucari: Yeah, but it’s it’s still windy.
31 00:03:59.900 ⇒ 00:04:01.380 Nicolas Sucari: Really cloudy.
32 00:04:02.340 ⇒ 00:04:08.700 Nicolas Sucari: Not really good days. But that’s fine. Yeah, a little bit. I get timed a little, bit not too much.
33 00:04:19.100 ⇒ 00:04:19.929 Miguel de Veyra: Hey, everyone.
34 00:04:20.970 ⇒ 00:04:21.779 Uttam Kumaran: Hey!
35 00:04:22.290 ⇒ 00:04:25.070 Miguel de Veyra: I’ll just. I’ll be right. I’ll just get my food.
36 00:04:25.070 ⇒ 00:04:25.930 Uttam Kumaran: Okay, cool.
37 00:04:28.190 ⇒ 00:04:30.090 Uttam Kumaran: Yeah. I guess I wanted to
38 00:04:30.210 ⇒ 00:04:38.299 Uttam Kumaran: talk today a little bit about 2 new clients that we are onboarding right now. I’m just going to
39 00:04:38.880 ⇒ 00:04:40.560 Uttam Kumaran: bring them up.
40 00:04:41.760 ⇒ 00:04:44.889 Nicolas Sucari: Tom, I think you need to share the invite to Sahana, too.
41 00:04:45.840 ⇒ 00:04:47.130 Uttam Kumaran: Oh, yeah, okay.
42 00:04:50.170 ⇒ 00:04:51.400 Uttam Kumaran: Did she message you?
43 00:04:52.140 ⇒ 00:04:57.200 Nicolas Sucari: No, I just realized she’s not here, and maybe she doesn’t have the invite.
44 00:04:57.880 ⇒ 00:04:59.869 Uttam Kumaran: Okay, yeah, I’ll just add her.
45 00:05:00.330 ⇒ 00:05:04.729 Uttam Kumaran: I’ll add her. And then I think everyone else is already on here.
46 00:05:31.060 ⇒ 00:05:31.640 Uttam Kumaran: Okay,
47 00:05:32.840 ⇒ 00:05:40.580 Uttam Kumaran: yeah. I kind of want to go through. The 2 clients that we are starting to work with.
48 00:05:50.200 ⇒ 00:06:03.040 Uttam Kumaran: So 1st is art helper. Basically, we are coming in to do a data audit for them, looking at their marketing sort of events, firing on their website for people who don’t know like what
49 00:06:03.320 ⇒ 00:06:10.830 Uttam Kumaran: marketing like, what I mean by marketing events. You probably heard us talking about companies like amplitude.
50 00:06:13.110 ⇒ 00:06:15.780 Uttam Kumaran: Or mix panel.
51 00:06:17.016 ⇒ 00:06:18.189 Uttam Kumaran: These are
52 00:06:18.400 ⇒ 00:06:30.190 Uttam Kumaran: these are product event management companies basically on mix panels website, for example, we’re actually, let’s not do that because they’ll probably start sending me email
53 00:06:30.739 ⇒ 00:06:43.250 Uttam Kumaran: on our website. For example, if I was to click on services, we fire an event. What that event has is. It has not only when it was fired who I am, where I’m located all this information.
54 00:06:43.270 ⇒ 00:07:04.889 Uttam Kumaran: And so if you’re thinking about tracking, you know things in your Sas product. If you think about tracking marketing events, you want to know how many people are coming to the site. What are they clicking on? What are they doing? What are they watching? All of that tracking happens through these tools. Amplitude, mix panel, are, and post hog, which is what we use are the for some of the biggest products in this space.
55 00:07:05.302 ⇒ 00:07:17.980 Uttam Kumaran: And this is one of our key offerings on the data side is, we help people not only analyze their current setup for these tools, but then help them, you know, improve this. You know.
56 00:07:18.650 ⇒ 00:07:19.829 Uttam Kumaran: over time.
57 00:07:19.880 ⇒ 00:07:28.259 Uttam Kumaran: Some of the common issues that people typically have in terms of setting this up for the 1st time one. They don’t know how to name these events. If you think about, you have hundreds
58 00:07:28.280 ⇒ 00:07:54.239 Uttam Kumaran: of hundreds and hundreds of different events. Sometimes people typically have problems with like, what do they name the events of? Is everything on their website tracked? Do you have a process of tracking the right things at the right time. Do you have a strategy around tracking? Also, how do you analyze that data? Is it go? Is that going and staying in mixed panel. Is that going into Snowflake, where we do further analysis? Can you join this data? For example, if you want to look at? If you’re let’s say you’re on
59 00:07:56.950 ⇒ 00:07:59.100 Uttam Kumaran: Let’s say you’re on Jcrew’s website.
60 00:07:59.270 ⇒ 00:08:09.529 Uttam Kumaran: One of the things that company like this will do is they’ll see that you claim here. Oh, great! They’re doing a marketing campaign 50% off. They they want to know how many people click this banner
61 00:08:09.630 ⇒ 00:08:11.229 Uttam Kumaran: right? So when I click this
62 00:08:12.028 ⇒ 00:08:17.110 Uttam Kumaran: you can see here that they probably put a bunch of like URL parameters here.
63 00:08:17.370 ⇒ 00:08:23.010 Uttam Kumaran: This is just basically helping them track like, oh, actually perfect example.
64 00:08:23.770 ⇒ 00:08:29.520 Uttam Kumaran: If you see here it says, homepage top, promo banner, 0 men’s.
65 00:08:29.860 ⇒ 00:08:33.600 Uttam Kumaran: What that means is that promo banner that I just clicked on.
66 00:08:33.940 ⇒ 00:08:37.720 Uttam Kumaran: which, if like, let me just pull it up again and see if it pops up.
67 00:08:38.169 ⇒ 00:08:43.179 Uttam Kumaran: This promo banner is something that they’re running right now 2025 wardrobe refresh.
68 00:08:43.470 ⇒ 00:08:47.709 Uttam Kumaran: So when I clicked on that as part of the URL. It put in this like
69 00:08:47.950 ⇒ 00:08:55.850 Uttam Kumaran: tracker. Basically that says I, clicked on. Probably the homepage top promo banner and 0 is probably because I clicked on the
70 00:08:56.040 ⇒ 00:09:00.970 Uttam Kumaran: actually, I don’t know. I don’t know what 0 is, but probably some sort of internal naming convention.
71 00:09:01.320 ⇒ 00:09:07.639 Uttam Kumaran: This. There’s a team that manages how this is named and what’s being tracked right? And this is something that we
72 00:09:08.280 ⇒ 00:09:25.629 Uttam Kumaran: do for people. We help them make these decisions and implement these things? And to take this one step further, let’s say, I go. I buy this. I click on this. This gets tracked. I switch to color the color switch gets tracked. I then add this to cart, add it to the bag, go purchase it.
73 00:09:25.880 ⇒ 00:09:48.909 Uttam Kumaran: What what happens is, yeah. You may be able to see all those events. But then you want to actually go to see like who like, did someone return? Did I go buy more products? Right? You want to link this to your financial data. You need to take this out and put this into Snowflake right? And then in Snowflake, what you do is you able to bring this, bring in your financial data, bring in your customer, support data, and you get to see what’s typically called like a customer, 360, which is like looking at
74 00:09:49.290 ⇒ 00:09:54.077 Uttam Kumaran: entire customer from their online journey. Did they return something? What do they pay?
75 00:09:55.086 ⇒ 00:09:58.900 Uttam Kumaran: How do we send more marketing to them things like that. So
76 00:10:00.430 ⇒ 00:10:07.295 Uttam Kumaran: To go back to what we’re doing for art helper, we base. They basically came to us, and they have a need for us to
77 00:10:07.990 ⇒ 00:10:33.309 Uttam Kumaran: do an audit for them, which is basically look through their site, potentially look through their product, understand what events are firing, how they’re firing right now. If they have appropriate naming, basically for us, it’s like 5 to 10 h of work where we go in. And we tell them like, what’s wrong, what’s right? And then, basically, we do a proposal where we’re like. This is probably what you should do. And then, of course. We say we can do this for you for a fee.
78 00:10:34.088 ⇒ 00:10:38.141 Uttam Kumaran: And so this is something that we’re gonna probably do
79 00:10:38.990 ⇒ 00:10:41.780 Uttam Kumaran: next week with our helper probably kick off on Monday.
80 00:10:43.740 ⇒ 00:10:48.299 Uttam Kumaran: Any questions about this or about events?
81 00:10:48.687 ⇒ 00:10:52.850 Uttam Kumaran: If you aren’t familiar with this. But you you’re probably familiar with the fact that
82 00:10:53.050 ⇒ 00:10:57.729 Uttam Kumaran: you’re getting tracked on the Internet. This is sort of like one of the big ways that this happens.
83 00:10:58.325 ⇒ 00:11:10.009 Uttam Kumaran: Everything from hovering like when I hover on this, it triggers an event when I scroll it triggers an event every single interaction you can trigger an event. It just really matters what you want to track
84 00:11:12.010 ⇒ 00:11:18.073 Uttam Kumaran: And so if you’re actually interested in this if you go into our sort of
85 00:11:18.870 ⇒ 00:11:24.300 Uttam Kumaran: slack and you go into internal analytics channel. This is where we’re starting to track events.
86 00:11:24.831 ⇒ 00:11:27.188 Uttam Kumaran: And Robert actually did a lot of this work.
87 00:11:27.950 ⇒ 00:11:34.220 Uttam Kumaran: this week, on which events we’re tracking and things like that. So any questions
88 00:11:38.230 ⇒ 00:11:47.220 Uttam Kumaran: cool? So you’ll probably hear a lot more about amplitude mixed panel. It’s some of the key products that we work on the other next company we’re working with is Eden. Eden is a
89 00:11:47.350 ⇒ 00:11:49.870 Uttam Kumaran: glp, one
90 00:11:50.673 ⇒ 00:12:02.519 Uttam Kumaran: weight loss supplement company. Basically, they sell weight loss supplements. If you’re not familiar with glp, one glp. One is basically this class of semaglutide
91 00:12:04.400 ⇒ 00:12:12.920 Uttam Kumaran: sort of pharmaceuticals. It’s probably the big one of the biggest pharmaceuticals in the world right now. Basically.
92 00:12:13.710 ⇒ 00:12:31.359 Uttam Kumaran: initially, was used more for like heart related issues. And they found that it works really really well for weight, loss treatments. And so in the Us. And in Europe particular. This drug is really blowing up the basically the key
93 00:12:32.090 ⇒ 00:12:35.070 Uttam Kumaran: creator of the drug. Novo Nordisk.
94 00:12:35.380 ⇒ 00:12:37.570 Uttam Kumaran: If you are to look at their stock
95 00:12:38.040 ⇒ 00:12:40.640 Uttam Kumaran: you will see what I mean.
96 00:12:41.733 ⇒ 00:12:48.830 Uttam Kumaran: I know they’re kind of going down now, but Novo Nordisk and Eli Lilly have benefited a lot from
97 00:12:49.200 ⇒ 00:12:50.899 Uttam Kumaran: this drug blowing up
98 00:12:51.559 ⇒ 00:13:06.820 Uttam Kumaran: but what basically I like I could talk. I don’t know. I have a lot of interest, because I just have been following sort of like what this drug is. But basically, Eden sells this and they sell this in multiple formats. I don’t think they’re manufacturing the drug
99 00:13:07.440 ⇒ 00:13:09.229 Uttam Kumaran: but they are packaging and selling it.
100 00:13:09.370 ⇒ 00:13:12.573 Uttam Kumaran: And we’re helping them do that.
101 00:13:13.920 ⇒ 00:13:17.350 Uttam Kumaran: Basically what we came in to do for them is
102 00:13:17.930 ⇒ 00:13:22.579 Uttam Kumaran: they have a bunch of different data sources. So they have marketing data. So so the actual.
103 00:13:24.170 ⇒ 00:13:28.600 Uttam Kumaran: So the actual data of like, what’s what people are clicking on on the site?
104 00:13:30.050 ⇒ 00:13:34.349 Uttam Kumaran: You can actually buy this directly you have to talk to a far like a pharmacist
105 00:13:35.840 ⇒ 00:13:40.630 Uttam Kumaran: or a doctor that they have. So basically they pair you with a doctor, and then
106 00:13:42.020 ⇒ 00:13:48.779 Uttam Kumaran: they pair you with a doctor. You go through that. You sign up for the medication. And they send you it. And it’s on basically a subscription.
107 00:13:50.800 ⇒ 00:13:58.409 Uttam Kumaran: So we we’re going to be helping them basically move all their data into bigquery model their data.
108 00:13:58.990 ⇒ 00:14:02.490 Uttam Kumaran: We’re starting out with just marketing. So basically looking at
109 00:14:03.450 ⇒ 00:14:06.950 Uttam Kumaran: basically looking at customers looking at what they’re buying.
110 00:14:09.740 ⇒ 00:14:12.410 Uttam Kumaran: Like our classic sort of sales marketing data.
111 00:14:14.240 ⇒ 00:14:21.430 Uttam Kumaran: But very excited, like huge industry right now. So any questions.
112 00:14:28.580 ⇒ 00:14:32.020 Uttam Kumaran: So we we have a bunch of experience with a couple of other telehealth companies like
113 00:14:32.660 ⇒ 00:14:36.680 Uttam Kumaran: Brian worked Brian pay previously worked for hims.
114 00:14:41.530 ⇒ 00:14:46.440 Uttam Kumaran: which is a very similar company here in the Us.
115 00:14:52.970 ⇒ 00:15:02.240 Uttam Kumaran: So you see, everything from the packaging, and everything is super simple, like weight loss.
116 00:15:04.390 ⇒ 00:15:08.665 Uttam Kumaran: There’s a lot of companies like this right now. So it’s
117 00:15:09.500 ⇒ 00:15:10.329 Uttam Kumaran: I don’t know.
118 00:15:10.610 ⇒ 00:15:13.019 Uttam Kumaran: I’m not sure where this industry is gonna go. But
119 00:15:13.530 ⇒ 00:15:17.809 Uttam Kumaran: there’s a lot of opportunity in telehealth telemedication.
120 00:15:19.120 ⇒ 00:15:24.480 Uttam Kumaran: And a lot of this in the Us. Is basically coming from people wanting to buy prescriptions
121 00:15:25.130 ⇒ 00:15:30.280 Uttam Kumaran: online. So nobody’s going into retail locations and getting prescriptions. People are buying from Amazon.
122 00:15:31.760 ⇒ 00:15:36.049 Uttam Kumaran: You’re buying contacts online. You’re doing telehealth appointments to get drugs.
123 00:15:36.692 ⇒ 00:15:39.519 Uttam Kumaran: And so these guys are taking advantage of that. So
124 00:15:40.180 ⇒ 00:15:46.089 Uttam Kumaran: we just sort of had a kickoff meeting this morning for these guys, and we’ll sort of start work next week. So
125 00:15:50.820 ⇒ 00:15:57.929 Uttam Kumaran: cool. Yeah, I think with the remaining time I wanted to sort of give Miguel and Casey. They’ve been, I think, working on
126 00:15:58.520 ⇒ 00:16:00.429 Uttam Kumaran: a couple of things that we can demo.
127 00:16:01.760 ⇒ 00:16:04.249 Uttam Kumaran: Maybe, Casey, the best demo, is just showing slack
128 00:16:05.501 ⇒ 00:16:08.210 Uttam Kumaran: and showing the improvements to the lead research agent.
129 00:16:10.150 ⇒ 00:16:11.190 Casie Aviles: Yeah, sure. Sure.
130 00:16:16.190 ⇒ 00:16:26.630 Casie Aviles: Okay, so great, yeah. So I think everyone’s familiar with the lead researcher already. And
131 00:16:27.800 ⇒ 00:16:32.679 Casie Aviles: we have like a a previous version, using just an A 10 and zapier.
132 00:16:33.720 ⇒ 00:16:42.090 Casie Aviles: So to give you some context, how it worked before it looks like this. And basically it works.
133 00:16:42.980 ⇒ 00:16:46.120 Casie Aviles: Yeah, it just gives all this info. But
134 00:16:46.410 ⇒ 00:16:53.599 Casie Aviles: some minor changes. My minor updates that I’ve been working on is just to actually remove Zapier from
135 00:16:55.420 ⇒ 00:17:00.860 Casie Aviles: yeah, it’s just using any 10 for now. So I had to make like this slack app.
136 00:17:00.970 ⇒ 00:17:05.879 Casie Aviles: and that gives us that. Lets us create this app that
137 00:17:06.880 ⇒ 00:17:12.410 Casie Aviles: has this custom. We can customize the icon and stuff. And
138 00:17:13.000 ⇒ 00:17:19.860 Casie Aviles: it also lets us like target, as if you know it’s part of like the the workspace, like how we tag every other person
139 00:17:20.731 ⇒ 00:17:24.880 Casie Aviles: in slack. And but functionally it remains the same.
140 00:17:25.942 ⇒ 00:17:28.830 Casie Aviles: But yeah, we could do like a quick test right now.
141 00:17:33.370 ⇒ 00:17:37.100 Casie Aviles: But yeah, it like, I said, it works pretty much the same. And
142 00:17:40.300 ⇒ 00:17:46.010 Casie Aviles: yeah, just sends this react to make sure that you know, to let you know that it’s
143 00:17:46.430 ⇒ 00:17:49.280 Casie Aviles: that it was able to receive this input.
144 00:17:50.880 ⇒ 00:17:55.260 Casie Aviles: And over here at NA. 10. This is where the agent.
145 00:17:56.050 ⇒ 00:17:58.270 Casie Aviles: This is where we make changes with the agent.
146 00:17:58.860 ⇒ 00:18:09.789 Uttam Kumaran: Yeah. So, Connor, I think you may be. Probably you probably may be most interested in like this part, and we could probably get you access to any data. And so you can poke around. But this is sort of the back end for
147 00:18:10.760 ⇒ 00:18:11.770 Uttam Kumaran: how
148 00:18:12.350 ⇒ 00:18:20.590 Uttam Kumaran: this is actually working and to give everybody like a couple of things about what we improved. One. There’s an AI agents channel which you can join
149 00:18:20.950 ⇒ 00:18:34.019 Uttam Kumaran: that will so sort of be where all of our agents sort of live. This is a test channel, because we’ve just been spamming this all day with testing but one. We previously, we use Zapier. Basically, Zapier would look at a slack channel.
150 00:18:34.480 ⇒ 00:18:46.029 Uttam Kumaran: Take the message, then send it to N. 8 n. We eliminated Zapier out of that. So we created our own slack app it. It basically comes up like a person. So you do at lead researcher?
151 00:18:47.420 ⇒ 00:18:57.780 Uttam Kumaran: I don’t know. We haven’t thought about the branding or anything, but it’s just, you know, ideally, you should be able to think at the lead researcher in any channel. But it’s sort of we have one hub for that. The second thing is.
152 00:18:58.190 ⇒ 00:19:06.589 Uttam Kumaran: it then routes an Api call or a web hook directly to an 8 n. And the nice thing about a slack app is you can do everything from like
153 00:19:06.720 ⇒ 00:19:12.510 Uttam Kumaran: triggering reactions to threading responses, all sorts of stuff. And then basically, Casey takes that?
154 00:19:13.456 ⇒ 00:19:23.489 Uttam Kumaran: Then does a whole host of different things. We do online research, we’re integrating notion. So it’ll actually pull from our
155 00:19:23.740 ⇒ 00:19:29.530 Uttam Kumaran: notion and use that services to craft so kind of for anyone on this call that’s used. Chat. Gbt.
156 00:19:29.930 ⇒ 00:19:48.879 Uttam Kumaran: think about. This is like for us to do one of these for one client, I would have to go search a bunch of links, pull the text from there, copy, paste it in all of that copy, pasting back and forth. We basically have automated. And so this will do that. It’ll go search for stuff, bring it in search for Linkedin. Bring it in search to company. Extra people bring that in
157 00:19:50.110 ⇒ 00:20:06.389 Uttam Kumaran: and then sort of send this like response. And then the other thing is we we improved the formatting a bunch. So that it’s a little bit clearer, and then this isn’t done yet. We have a still a couple of things, but I wanted to show sort of the progress. Then the other thing we’re doing is also, you’ll have the ability to continue to chat with it
158 00:20:06.880 ⇒ 00:20:19.440 Uttam Kumaran: so you can ask further questions. Almost like it starts like a new chat session with chat gpt. And then the 3rd thing is we want to start getting feedback. So basically, you should be able to type in like this. This response sucked
159 00:20:19.580 ⇒ 00:20:28.579 Uttam Kumaran: and like, why? And then the AI team will get a a notification that it was bad for us to improve and improve the feedback.
160 00:20:29.150 ⇒ 00:20:32.220 Uttam Kumaran: I would say out of everything. The feedback loop is really, really important.
161 00:20:32.350 ⇒ 00:20:40.639 Uttam Kumaran: because everybody’s going to be using it. And if if it’s only up to us to come up with the ideas, things aren’t gonna improve fast enough. So we want to make
162 00:20:40.840 ⇒ 00:20:43.430 Uttam Kumaran: the opportunity to give feedback really, really easy here.
163 00:20:45.420 ⇒ 00:20:47.640 Uttam Kumaran: But yeah, I think this is the 1st of
164 00:20:47.860 ⇒ 00:20:51.520 Uttam Kumaran: many, many agents that we have sort of that are gonna populate slack
165 00:20:52.125 ⇒ 00:21:04.819 Uttam Kumaran: not only across sales, which I think is probably the easiest in terms of assisting with, because a lot of sales is mostly on on the research side and identifying strategy and positioning. A lot of text.
166 00:21:05.450 ⇒ 00:21:13.019 Uttam Kumaran: Second thing will be project management. So we’ll sort of find ways to automate sort of getting progress updates and thinking about that
167 00:21:13.443 ⇒ 00:21:17.689 Uttam Kumaran: as well as operations being able to chat with notion. Understand where information is.
168 00:21:17.880 ⇒ 00:21:22.350 Uttam Kumaran: And then we’ll move on to trying to do some stuff with engineering. So
169 00:21:23.100 ⇒ 00:21:27.650 Uttam Kumaran: any questions about this or any ideas as people and sort of see this.
170 00:21:28.080 ⇒ 00:21:30.373 Connor Fenn: I just have a quick question with it.
171 00:21:31.940 ⇒ 00:21:36.140 Connor Fenn: so once it provides this response.
172 00:21:36.510 ⇒ 00:21:47.970 Connor Fenn: are you able to interact with the lead researcher on top of this response to get further details into certain sections, or add in more details.
173 00:21:48.874 ⇒ 00:21:52.060 Uttam Kumaran: Probably by next week. Yeah, that’s that’s on the.
174 00:21:52.350 ⇒ 00:21:54.720 Uttam Kumaran: It’s just we’re basically doing that right now.
175 00:21:54.960 ⇒ 00:21:55.610 Connor Fenn: Okay.
176 00:21:58.120 ⇒ 00:22:06.230 Uttam Kumaran: So yeah, you should be able. Basically it should. It should. It should almost be like you sat. You start a new chatgpt session with the top part as
177 00:22:06.610 ⇒ 00:22:08.060 Uttam Kumaran: Yeah, that’s perfect.
178 00:22:08.060 ⇒ 00:22:10.700 Uttam Kumaran: And then you can just kinda start chatting with. So that’s
179 00:22:11.570 ⇒ 00:22:16.799 Uttam Kumaran: that’s something I asked Casey to do. I haven’t thought through like what’s possible yet. But basically, I think, we’ll just.
180 00:22:17.060 ⇒ 00:22:18.150 Uttam Kumaran: I think that’ll be.
181 00:22:18.260 ⇒ 00:22:21.930 Uttam Kumaran: I think we’ll just have to work on threading Casey like, how do you thread their messages back and.
182 00:22:21.930 ⇒ 00:22:25.700 Connor Fenn: Like my thought process with it was.
183 00:22:26.240 ⇒ 00:22:29.379 Connor Fenn: you know, if you’re doing some kind of
184 00:22:30.388 ⇒ 00:22:50.379 Connor Fenn: prospecting on, just like a cold outreach client like on Linkedin, or something like that. It’d be cool if it like, provided this summary. And then you could respond back, be like, okay, this sounds great. Let’s draft an email or some kind of initial outreach kind of message, and then it like, takes those pieces and does that.
185 00:22:54.010 ⇒ 00:22:54.620 Connor Fenn: That makes sense.
186 00:22:54.620 ⇒ 00:22:58.101 Uttam Kumaran: Yeah, I, I basically look. So the one thing I want to understand is
187 00:22:58.750 ⇒ 00:23:03.780 Uttam Kumaran: like, I want to think about not only this research part. But then, what is the action you take?
188 00:23:03.880 ⇒ 00:23:06.940 Uttam Kumaran: Is it? Do you typically email? Do you typically send a message?
189 00:23:07.370 ⇒ 00:23:19.010 Uttam Kumaran: You should be able to. It should be able to tell you. Here’s a couple of options of things I can do for you. I can help you craft a cold message, a cold email, right? So I want to get to the second and 3rd level sort of like things.
190 00:23:19.230 ⇒ 00:23:27.190 Uttam Kumaran: because the re, basically the research and pushing this here is pretty good. Then it’s like, what’s the action you’re gonna take? Can we help you with that?
191 00:23:29.250 ⇒ 00:23:33.700 Uttam Kumaran: And then can we just make that? I would say, that’s probably the extent here, like I don’t think
192 00:23:34.090 ⇒ 00:23:36.210 Uttam Kumaran: I don’t know whether short term
193 00:23:36.710 ⇒ 00:23:38.499 Uttam Kumaran: we’ll get it to the point where
194 00:23:39.010 ⇒ 00:23:45.920 Uttam Kumaran: I don’t know, like I think, like. If I was to think about where this scales over like a few years ideally, you should just say, Go, reach out to that person.
195 00:23:46.140 ⇒ 00:23:51.500 Uttam Kumaran: and then it’ll go handle that. I don’t think I think that’s probably like that’s probably as hard as doing.
196 00:23:51.900 ⇒ 00:23:59.109 Uttam Kumaran: That’s probably 10 times harder than everything we’re we’ve done so far here. So I wanted just to get it’s like 80 90%. And then basically
197 00:24:00.790 ⇒ 00:24:07.160 Uttam Kumaran: this should just hopefully eliminate like 50 60% of the time it takes to get a new lead into the process.
198 00:24:07.340 ⇒ 00:24:09.340 Uttam Kumaran: And what that does
199 00:24:09.860 ⇒ 00:24:15.649 Uttam Kumaran: for our company is one we are always gonna have way more leads than than our.
200 00:24:16.080 ⇒ 00:24:38.280 Uttam Kumaran: Then we have the ability to qualify. Right? We’re we’re a data company, an AI company. Every company can kind of use us. So our ability to process more, qualify more and get in front of more is really one thing. And then we’re still going to use people. And you know we have a relationship with all of our clients. So we’ll get on the phone with them and basically move them to there. But booking meetings and getting like a message that actually matters to them is super important. So
201 00:24:42.560 ⇒ 00:24:43.410 Uttam Kumaran: cool.
202 00:24:44.843 ⇒ 00:24:50.049 Uttam Kumaran: Miguel, do you want to share the the chat? The heroku app.
203 00:24:50.300 ⇒ 00:24:54.719 Miguel de Veyra: Oh, yeah, yeah, sure. Wait. Actually, let me send the link in the chat.
204 00:24:56.554 ⇒ 00:24:57.290 Miguel de Veyra: Sorry.
205 00:25:01.780 ⇒ 00:25:04.910 Miguel de Veyra: Let me just share screen to. So everyone can see.
206 00:25:06.270 ⇒ 00:25:09.489 Miguel de Veyra: So this is already deployed. But it’s not yet in the, you know.
207 00:25:09.940 ⇒ 00:25:13.999 Miguel de Veyra: and the thing we want like in the URL that we want it in.
208 00:25:14.340 ⇒ 00:25:21.209 Miguel de Veyra: But yeah, so it’s basically the ABC client we have. So
209 00:25:25.230 ⇒ 00:25:27.440 Miguel de Veyra: there’s an error in overflow. Great.
210 00:25:28.730 ⇒ 00:25:30.400 Miguel de Veyra: And let me try that again.
211 00:25:39.500 ⇒ 00:25:41.089 Miguel de Veyra: Oh, there you go now it works.
212 00:25:41.855 ⇒ 00:25:44.514 Miguel de Veyra: Yeah. So it’s basically, you know, something like this.
213 00:25:47.080 ⇒ 00:25:52.688 Miguel de Veyra: and then the other thing that we’re working on is the get sync. But this is still under
214 00:25:53.560 ⇒ 00:25:56.099 Miguel de Veyra: perhaps under progress.
215 00:25:56.270 ⇒ 00:25:59.407 Miguel de Veyra: And yeah, I think that’s pretty much it
216 00:25:59.920 ⇒ 00:26:02.190 Miguel de Veyra: thinking about it. Now, Uta, maybe we could
217 00:26:02.920 ⇒ 00:26:15.470 Miguel de Veyra: just so we could have like a back and forth. Maybe I could create because it’s an any 10, anyways, can I put, like, you know, basically slash lead researcher. So Connor can talk to it back and forth.
218 00:26:19.250 ⇒ 00:26:21.340 Uttam Kumaran: Wait, wait! Say, wait! I said again.
219 00:26:21.800 ⇒ 00:26:26.060 Miguel de Veyra: Cause. I, technically, we want something like that goes
220 00:26:27.400 ⇒ 00:26:30.170 Uttam Kumaran: I mean, this is basically like a front end for the.
221 00:26:30.640 ⇒ 00:26:31.639 Miguel de Veyra: Yeah, yeah, yeah.
222 00:26:33.770 ⇒ 00:26:36.208 Uttam Kumaran: Yeah, I guess I guess 2 things. One is
223 00:26:37.270 ⇒ 00:26:41.580 Uttam Kumaran: I think, basically, I, wanna, yeah, ideally, any agent we build.
224 00:26:41.910 ⇒ 00:26:46.420 Uttam Kumaran: I want to make it available through that interface as well as slack.
225 00:26:47.240 ⇒ 00:26:47.830 Miguel de Veyra: Okay. Yeah.
226 00:26:48.132 ⇒ 00:26:51.159 Uttam Kumaran: So I think if we can create the lead researcher
227 00:26:51.790 ⇒ 00:26:59.609 Uttam Kumaran: like slash lead researcher. And you just put that up there. That’s fine, too, I think the only the other thing is, we don’t have a notion of sessions right.
228 00:27:00.920 ⇒ 00:27:02.050 Miguel de Veyra: No, no, not yet.
229 00:27:02.680 ⇒ 00:27:04.419 Uttam Kumaran: So like, if you so
230 00:27:04.840 ⇒ 00:27:11.029 Uttam Kumaran: if you refresh like, if you talk to that, ABC bot, and then you refresh it. Does it just clear? Is it all just cached.
231 00:27:12.203 ⇒ 00:27:17.469 Miguel de Veyra: Yeah, yeah, I I mean, I can start the local host. But you know it, for if we reloaded it.
232 00:27:17.470 ⇒ 00:27:19.390 Uttam Kumaran: Oh, it! It is stored to localhost.
233 00:27:20.530 ⇒ 00:27:24.390 Miguel de Veyra: Yes, but the conversations. Not yet. I can, if you want to. But.
234 00:27:24.390 ⇒ 00:27:28.310 Uttam Kumaran: But then, once we have, like Bellam, we’ll start to. Oh, that’ll just be for
235 00:27:28.680 ⇒ 00:27:33.100 Uttam Kumaran: okay. I don’t really care if as long as there as long as it’s stored like
236 00:27:33.740 ⇒ 00:27:37.400 Uttam Kumaran: as long as it doesn’t get removed in in the middle of the session. Then this is fine.
237 00:27:38.454 ⇒ 00:27:42.350 Uttam Kumaran: So yeah, if you can just push lead researcher as another
238 00:27:43.010 ⇒ 00:27:47.919 Uttam Kumaran: page, and then can you just make like a quick home page with just 2 links?
239 00:27:49.290 ⇒ 00:27:50.219 Miguel de Veyra: Oh, yeah. Yeah.
240 00:27:50.640 ⇒ 00:27:52.050 Miguel de Veyra: Current homepage.
241 00:27:52.760 ⇒ 00:27:57.989 Nicolas Sucari: Yeah, like a bot marketplace where you can access lead researcher or anything else with them.
242 00:27:58.290 ⇒ 00:28:05.893 Uttam Kumaran: Some. Yeah, I mean, I, yeah. But even just like, just put them just put 2 of them somewhere on a list or something.
243 00:28:06.860 ⇒ 00:28:10.690 Uttam Kumaran: And then again. This is going to be internal for now.
244 00:28:11.030 ⇒ 00:28:11.540 Uttam Kumaran: But
245 00:28:12.620 ⇒ 00:28:24.530 Uttam Kumaran: I think, yeah, if you can, just if you can do that, that’d be great that way. Both those are available there and then we’ll work on sort of the Ui so ideally we’ll be using these, not only for Demos. But then for
246 00:28:24.770 ⇒ 00:28:28.280 Uttam Kumaran: us, internally like, if you want to access this outside of slack.
247 00:28:28.470 ⇒ 00:28:32.159 Uttam Kumaran: you can go access this also. There may be agents that
248 00:28:32.450 ⇒ 00:28:37.149 Uttam Kumaran: slack isn’t the best end user face a end user interface for
249 00:28:39.460 ⇒ 00:28:42.319 Uttam Kumaran: you know. So the other thing you know, I was thinking about
250 00:28:42.870 ⇒ 00:28:44.859 Uttam Kumaran: Connor on the sales side here is like.
251 00:28:45.140 ⇒ 00:28:50.560 Uttam Kumaran: maybe like this is actually like what we, we just sell them like this.
252 00:28:50.850 ⇒ 00:28:57.170 Uttam Kumaran: For example, if a company doesn’t have teams or slack, or they like prefer to just have a website.
253 00:28:57.350 ⇒ 00:29:02.750 Uttam Kumaran: We just sell them like a white labeled version of like this chat app, basically
254 00:29:05.220 ⇒ 00:29:05.570 Connor Fenn: Yeah.
255 00:29:05.570 ⇒ 00:29:16.780 Uttam Kumaran: I don’t know. That’s kind of what I was thinking. And like. We can build out the sessions. And it’s almost you’re we’re almost building out like a basic version. Well, we’ll basically just clone like the Ui chat Gpt, we have sessions
256 00:29:17.310 ⇒ 00:29:20.419 Uttam Kumaran: and like you can chat with it. But then it’s kind of like
257 00:29:20.620 ⇒ 00:29:25.800 Uttam Kumaran: you’re almost licensing like our product, right? And that kind of goes more to what we were talking about like
258 00:29:28.560 ⇒ 00:29:33.650 Uttam Kumaran: cause if they don’t have it. If they’re not on teams, or they don’t have like sort of a central area to do this.
259 00:29:34.187 ⇒ 00:29:37.929 Uttam Kumaran: This is gonna be the route we were. I was gonna propose anyways.
260 00:29:38.140 ⇒ 00:29:38.910 Connor Fenn: Okay.
261 00:29:39.620 ⇒ 00:29:41.989 Connor Fenn: Now, if they did have.
262 00:29:43.610 ⇒ 00:29:51.770 Uttam Kumaran: We would just do it there. Yeah, if they, if they wanted it, if they wanted it to be in teams, or they wanted to be in slack. Then we would just build the one that we had basically.
263 00:29:53.380 ⇒ 00:29:59.460 Connor Fenn: What if it’s like? No, I guess actually, I don’t mind. Yeah, that works.
264 00:30:03.200 ⇒ 00:30:08.089 Uttam Kumaran: This is where I just like I I think we’ll just find out on Monday what exactly like they’re looking for.
265 00:30:10.080 ⇒ 00:30:16.089 Connor Fenn: I think, for the Monday call especially. They’ll more than likely want something like this. I bet.
266 00:30:16.440 ⇒ 00:30:17.130 Uttam Kumaran: Okay.
267 00:30:18.020 ⇒ 00:30:18.889 Connor Fenn: I’d be.
268 00:30:19.070 ⇒ 00:30:20.729 Miguel de Veyra: Which client are we talking about? Sorry.
269 00:30:21.237 ⇒ 00:30:26.319 Uttam Kumaran: We’re talk. We’re meeting with Cbre. Cbre is just like a big commercial real estate firm.
270 00:30:26.600 ⇒ 00:30:29.559 Miguel de Veyra: Okay? Oh, you mean the Hpa alternative?
271 00:30:29.560 ⇒ 00:30:33.710 Uttam Kumaran: If they’re kind. Yeah, they’re kind of similar, although they don’t want they’re not. They don’t want help
272 00:30:34.050 ⇒ 00:30:34.764 Uttam Kumaran: with
273 00:30:36.100 ⇒ 00:30:36.969 Miguel de Veyra: These agreements.
274 00:30:36.970 ⇒ 00:30:39.900 Uttam Kumaran: Leasing. They want help to get new clients.
275 00:30:40.490 ⇒ 00:30:42.999 Uttam Kumaran: They basically want like a lead researcher.
276 00:30:44.380 ⇒ 00:30:45.590 Nicolas Sucari: No, they appreciate it.
277 00:30:45.590 ⇒ 00:30:50.370 Uttam Kumaran: Yeah, yeah, I want to lead researcher or some sort of stuff like, kind of similar to what we have in clay.
278 00:30:50.710 ⇒ 00:30:52.529 Connor Fenn: We should mention the
279 00:30:53.010 ⇒ 00:31:04.969 Connor Fenn: leasing kind of side of things, because they are on that side of the business for the office, and like distribution space where they might not have even thought of that being a capability.
280 00:31:04.970 ⇒ 00:31:10.400 Uttam Kumaran: Yeah, that could be good, too. I mean, I definitely want to talk about like we what we did for Hpi.
281 00:31:10.520 ⇒ 00:31:12.290 Uttam Kumaran: I’ll talk. I could talk about that.
282 00:31:12.970 ⇒ 00:31:18.229 Miguel de Veyra: Do you guys want me to add it here, the in the Urls? And then so you guys can demo it through here.
283 00:31:18.990 ⇒ 00:31:22.209 Uttam Kumaran: Well, can you just just put the lead researcher I don’t think like.
284 00:31:22.730 ⇒ 00:31:25.340 Uttam Kumaran: don’t worry about making it branded for now.
285 00:31:26.230 ⇒ 00:31:26.910 Miguel de Veyra: Okay.
286 00:31:27.170 ⇒ 00:31:32.460 Uttam Kumaran: Like, just do slash lead researcher, and then that’ll be.
287 00:31:32.460 ⇒ 00:31:36.519 Miguel de Veyra: What about do you want me to also put the Hpi or no need.
288 00:31:40.500 ⇒ 00:31:42.779 Uttam Kumaran: Yeah, maybe wait. Cause that
289 00:31:43.460 ⇒ 00:31:45.940 Uttam Kumaran: has some data in it that I don’t know whether we should.
290 00:31:45.940 ⇒ 00:31:48.790 Miguel de Veyra: Oh, yeah, yeah, maybe we shouldn’t. Yeah.
291 00:31:48.790 ⇒ 00:31:51.740 Uttam Kumaran: We’ll we’ll probably share like a fake version of that
292 00:31:52.780 ⇒ 00:31:54.749 Uttam Kumaran: with like a fake lease or something.
293 00:31:56.950 ⇒ 00:32:00.649 Miguel de Veyra: Okay, okay, yeah, that makes sense. Let’s prioritize the lead researcher. For now.
294 00:32:01.240 ⇒ 00:32:01.820 Uttam Kumaran: Okay.
295 00:32:05.640 ⇒ 00:32:08.320 Miguel de Veyra: And yeah, I guess that concludes my demo.
296 00:32:10.510 ⇒ 00:32:19.810 Uttam Kumaran: Okay, cool. Anyone else, anything they want to share or chat about.
297 00:32:24.680 ⇒ 00:32:38.029 Uttam Kumaran: I think next week, we’ll have some stuff on the website side on the SEO side to share. Just didn’t get to meet with the design team this week on that. So I’ll probably have more design and sales stuff to share. And then
298 00:32:38.473 ⇒ 00:32:46.030 Uttam Kumaran: I’m sure, Connor, as you do more stuff on the sales side, you’ll have more some more feedback on the website or different sales assets. So we’ll we’ll work on that.
299 00:32:46.907 ⇒ 00:32:47.722 Connor Fenn: Sounds good.
300 00:32:51.020 ⇒ 00:32:53.104 Uttam Kumaran: Cool. Okay, guys.
301 00:32:53.910 ⇒ 00:32:59.119 Uttam Kumaran: If nothing else, I’ll chat with people on slack or have a good weekend if I don’t chat with you. So yeah.
302 00:33:00.930 ⇒ 00:33:03.190 Nicolas Sucari: Thank you. Guys. Talk to you later.
303 00:33:03.190 ⇒ 00:33:03.660 Connor Fenn: Hey, everyone.
304 00:33:04.980 ⇒ 00:33:05.600 Miguel de Veyra: See you.