Meeting Title: Uttam-Kumaran’s-Personal-Meeting-Room Date: 2024-09-13 Meeting participants: Patrick Trainer, Ryan Luke Daque, Joshuadeveyra, Nicolas Sucari, Uttam Kumaran
WEBVTT
1 00:00:16.850 ⇒ 00:00:17.850 Patrick Trainer: Yo.
2 00:00:17.850 ⇒ 00:00:18.610 Uttam Kumaran: No.
3 00:00:19.090 ⇒ 00:00:19.870 Patrick Trainer: How’s it going.
4 00:00:20.160 ⇒ 00:00:21.640 Uttam Kumaran: Good! How are you?
5 00:00:21.910 ⇒ 00:00:23.630 Patrick Trainer: Not too bad. It’s getting
6 00:00:23.640 ⇒ 00:00:25.670 Patrick Trainer: things back in order.
7 00:00:26.020 ⇒ 00:00:27.060 Uttam Kumaran: Nice.
8 00:00:27.510 ⇒ 00:00:28.330 Patrick Trainer: Oh, yeah.
9 00:00:43.320 ⇒ 00:00:44.120 Ryan Luke Daque: I guess.
10 00:00:44.450 ⇒ 00:00:45.470 Ryan Luke Daque: Hey.
11 00:00:50.030 ⇒ 00:00:50.769 joshuadeveyra: Hello!
12 00:00:52.500 ⇒ 00:00:54.350 Ryan Luke Daque: Everything there. Patrick.
13 00:00:54.583 ⇒ 00:00:55.050 Patrick Trainer: It’s good.
14 00:00:55.050 ⇒ 00:00:56.480 Ryan Luke Daque: You’re all well.
15 00:00:56.480 ⇒ 00:00:58.389 Patrick Trainer: Yeah, no, it it was
16 00:00:58.570 ⇒ 00:01:01.820 Patrick Trainer: all in all. It went as well as it could.
17 00:01:03.550 ⇒ 00:01:06.170 Ryan Luke Daque: Nice, no damages or something. That’s your.
18 00:01:06.664 ⇒ 00:01:13.589 Patrick Trainer: Yeah, for for us. No other parts that or other people. They
19 00:01:13.880 ⇒ 00:01:16.339 Patrick Trainer: especially the south of us. They got hit pretty hard.
20 00:01:17.500 ⇒ 00:01:18.890 Ryan Luke Daque: Yeah, that sucks.
21 00:01:19.050 ⇒ 00:01:21.690 Ryan Luke Daque: Yeah. Good good thing. You’re you’re safe.
22 00:01:21.690 ⇒ 00:01:22.250 Patrick Trainer: Yeah.
23 00:01:22.250 ⇒ 00:01:23.329 Ryan Luke Daque: Everything’s well.
24 00:01:25.540 ⇒ 00:01:25.970 Nicolas Sucari: Hi guys.
25 00:01:25.970 ⇒ 00:01:26.520 Ryan Luke Daque: Welcome!
26 00:01:26.770 ⇒ 00:01:27.320 Uttam Kumaran: Hey!
27 00:01:27.320 ⇒ 00:01:28.240 Ryan Luke Daque: Hi. Nicholas.
28 00:01:32.020 ⇒ 00:01:36.509 Uttam Kumaran: Let me see any of the website. Books are gonna come.
29 00:02:03.610 ⇒ 00:02:04.470 Uttam Kumaran: Okay.
30 00:02:05.384 ⇒ 00:02:14.599 Uttam Kumaran: cool. I messaged some of the folks on the website side. But I think this is everybody. Yeah, it’s been a pretty
31 00:02:14.860 ⇒ 00:02:19.954 Uttam Kumaran: solid week. I’m trying to just remember everything
32 00:02:20.610 ⇒ 00:02:25.558 Uttam Kumaran: that has happened. So let me just even like, look at my calendar.
33 00:02:27.340 ⇒ 00:02:51.895 Uttam Kumaran: yeah. So we start off the week. With some stuff on the sales automation side. I think I just have been really busy, so I haven’t had to take chance to take a look at any of the Apollo leads yet, and I know, Pat, you’ve been out so I know that’s still like on the to do but I think hopefully, we can get through that once you’re back and settled, I think.
34 00:02:52.740 ⇒ 00:02:55.029 Uttam Kumaran: Apart from that, we
35 00:02:56.920 ⇒ 00:03:04.889 Uttam Kumaran: We started working on a couple of different automations internally. In particular. We started working on a sales
36 00:03:04.940 ⇒ 00:03:06.800 Uttam Kumaran: like opportunity. Hub
37 00:03:06.910 ⇒ 00:03:08.639 Uttam Kumaran: sort of automation.
38 00:03:09.301 ⇒ 00:03:15.640 Uttam Kumaran: And maybe I’ll let Miguel, if you want to show a quick demo of that. If you have it up
39 00:03:18.710 ⇒ 00:03:20.129 joshuadeveyra: I think I closed.
40 00:03:20.360 ⇒ 00:03:21.195 Uttam Kumaran: Okay.
41 00:03:24.350 ⇒ 00:03:39.379 Uttam Kumaran: basically, for every single lead that we do, we produce, like a several different documents and information associated with it, whether that’s like back and forth texts, whether that’s emails, contracts, like research.
42 00:03:39.610 ⇒ 00:03:59.589 Uttam Kumaran: And so basically, the way I do things is like a lot of that gets put into a cloud project or chat gpt sort of ad hoc, and I get, and I use it, for, you know, support to generate things or ideas. And instead, one of the things that we want to do is for every lead that comes in that we start to engage with.
43 00:03:59.947 ⇒ 00:04:08.879 Uttam Kumaran: You know, post 1st meeting. And they’re all qualified. We basically want to create like an opportunity hub that we can have it an agent over all those documents.
44 00:04:09.588 ⇒ 00:04:18.131 Uttam Kumaran: Again, it basically has helped speed up the process of thinking about what are the tactics for like meetings? How do we put together a proposal?
45 00:04:18.560 ⇒ 00:04:26.125 Uttam Kumaran: and so we’re we worked on this concept of like a knowledge base and an agent for that. So yeah, Miguel, maybe if you wanted to show a demo of that
46 00:04:26.370 ⇒ 00:04:27.209 joshuadeveyra: Oh, yeah, sure.
47 00:04:28.400 ⇒ 00:04:29.070 Uttam Kumaran: 4.
48 00:04:31.390 ⇒ 00:04:33.880 joshuadeveyra: Oh, wait, let me share screen.
49 00:04:43.940 ⇒ 00:04:46.550 joshuadeveyra: Yeah. Can you guys give me a student.
50 00:04:46.750 ⇒ 00:04:47.460 Uttam Kumaran: Yeah.
51 00:04:48.370 ⇒ 00:04:49.040 joshuadeveyra: Yeah.
52 00:04:50.496 ⇒ 00:05:02.539 joshuadeveyra: Yeah. So basically, you know, as Uta mentioned, it’s it contains like a knowledge base about for this project. Specifically, it’s more on the Vita Coco project that we’re currently working on.
53 00:05:03.130 ⇒ 00:05:11.739 joshuadeveyra: So yeah, so you can like, ask simple questions, what’s the proposal status? Because recently, it’s been forwarded to their Cfo, right? So the agent knows it.
54 00:05:11.950 ⇒ 00:05:19.570 joshuadeveyra: And you know, just basic questions like that. And then what’s like the general progress of it? I basically what’s the general purpose of it?
55 00:05:19.650 ⇒ 00:05:26.740 joshuadeveyra: And you can get more in depth. But you know, we were testing out a couple of things like how to automatically add stuff into the knowledge base.
56 00:05:27.830 ⇒ 00:05:32.760 joshuadeveyra: and we got all of it done except for the image part, because it’s a bit complicated.
57 00:05:33.260 ⇒ 00:05:35.450 joshuadeveyra: But yeah, I think that’s pretty much it.
58 00:05:35.800 ⇒ 00:05:38.179 Uttam Kumaran: Yeah, can you show the knowledge base?
59 00:05:38.860 ⇒ 00:05:41.500 Uttam Kumaran: the tool and the knowledge base? Yeah.
60 00:05:42.490 ⇒ 00:05:44.090 joshuadeveyra: Yeah, so the knowledge base
61 00:05:44.397 ⇒ 00:05:48.140 joshuadeveyra: general, not, I think it’s this one. So yeah, it looks like this.
62 00:05:50.090 ⇒ 00:05:52.970 joshuadeveyra: So the file URL, the name.
63 00:05:53.050 ⇒ 00:05:54.989 joshuadeveyra: Not sure why. There’s no names here.
64 00:05:55.566 ⇒ 00:06:01.770 joshuadeveyra: No, because it was not required before. So it looks, you know, something like this. It’s in Json format.
65 00:06:03.780 ⇒ 00:06:06.280 joshuadeveyra: and we have like a tool
66 00:06:06.340 ⇒ 00:06:08.659 joshuadeveyra: where which the agent uses.
67 00:06:09.000 ⇒ 00:06:10.070 joshuadeveyra: And it is
68 00:06:10.260 ⇒ 00:06:11.829 joshuadeveyra: basically this one.
69 00:06:20.430 ⇒ 00:06:23.570 joshuadeveyra: Yeah. So the pool is basically, you know, something like this
70 00:06:24.000 ⇒ 00:06:29.640 joshuadeveyra: where it it has access to the Vitacoco knowledge base. And then the agent.
71 00:06:29.800 ⇒ 00:06:32.410 joshuadeveyra: what’s the question here and then just uses
72 00:06:33.220 ⇒ 00:06:34.639 joshuadeveyra: this knowledge base.
73 00:06:38.730 ⇒ 00:06:42.880 Uttam Kumaran: Does that make sense? Everyone? We’re kind of like basically creating like a
74 00:06:42.950 ⇒ 00:06:47.168 Uttam Kumaran: an AI homepage for every lead, with all the documents associated with it, so
75 00:06:48.130 ⇒ 00:06:51.844 Uttam Kumaran: that should help speed up a lot of stuff on the sales side.
76 00:06:52.860 ⇒ 00:07:03.787 Uttam Kumaran: and everybody, you know, have has access to relevance. I think I’ve been invited. But if anyone else wants access, let me know. We’re starting to basically all the Zoom transcription.
77 00:07:04.480 ⇒ 00:07:29.779 Uttam Kumaran: a bunch of automations kind of run in the background. Now in the company, which is really really nice, and we’re gonna start to use it on the sales side as well. We we do have a process. Now, also, where we have a slack channel where you can post in job requirements like a if you find like a open job that could be interesting for Brainforge to kind of go after that opportunity. There’s a slack channel where you can send that link in this job. Scraper agent actually goes
78 00:07:29.890 ⇒ 00:07:37.809 Uttam Kumaran: scrape goes to that. URL scrapes what company it is, finds them on. Apollo finds the hiring managers and then drafts emails for them.
79 00:07:39.300 ⇒ 00:07:43.529 Uttam Kumaran: so again, we’re basically like stripping away all the processes that
80 00:07:43.760 ⇒ 00:07:46.882 Uttam Kumaran: you know. Basically, we would do to try to.
81 00:07:47.640 ⇒ 00:07:52.579 Uttam Kumaran: you know, streamline these things. So this is one of them. So
82 00:07:53.000 ⇒ 00:07:54.819 Uttam Kumaran: thanks, Miguel, that was great.
83 00:07:57.107 ⇒ 00:08:00.369 Uttam Kumaran: I think another thing I’ll share is we
84 00:08:00.410 ⇒ 00:08:02.201 Uttam Kumaran: I walk through with
85 00:08:02.920 ⇒ 00:08:03.970 Uttam Kumaran: with
86 00:08:05.410 ⇒ 00:08:08.761 Uttam Kumaran: Nico and Ryan. A little bit about
87 00:08:09.290 ⇒ 00:08:18.460 Uttam Kumaran: our the pool parts process for shopify by tagging, and I think this is something that we could probably leverage for other clients and
88 00:08:18.888 ⇒ 00:08:32.141 Uttam Kumaran: just kind of honestly, probably package and market. And we’ll probably do a blog post about how we did this. But basically pull parts needed like a specific tagging process for tagging things in shopify and in
89 00:08:32.570 ⇒ 00:08:44.799 Uttam Kumaran: in ship station. And so we use windmill to basically get a web hook from shopify when new orders are created. That web hook. Some of the details go into a python script. The python script
90 00:08:44.900 ⇒ 00:09:14.274 Uttam Kumaran: outputs like a string that string gets inputted as part of a graphql request to shopify. And then a tag gets added to an order. Basically, they’re trying to route their orders to one warehouse or another based on where the customer is. So we took in the we took in the customer Zip code, mapped it to several strings. And then we basically can add a tag that says, Send this order from here, send this order from here, send this over here. So we actually wrote that for them.
91 00:09:14.939 ⇒ 00:09:27.509 Uttam Kumaran: And this runs in windmill. It’s like dirt cheap to run all this. It’s a little bit technical like, but I used AI to basically help me write some of this Graphql stuff. And then
92 00:09:27.820 ⇒ 00:09:31.319 Uttam Kumaran: the AI wrote, basically all the python. But it’s it’s pretty basic.
93 00:09:32.770 ⇒ 00:09:44.109 Uttam Kumaran: so, yeah, that was pretty cool. And then the nice thing is, we did a we did a meeting and a presentation on that and we have this artifact now, so we’ll turn that into you know. Internal documents.
94 00:09:45.255 ⇒ 00:09:46.040 Uttam Kumaran: So
95 00:09:46.120 ⇒ 00:09:47.799 Uttam Kumaran: pumped about that.
96 00:09:48.716 ⇒ 00:09:50.860 Uttam Kumaran: Let’s see what else?
97 00:09:50.890 ⇒ 00:09:53.449 Uttam Kumaran: Yeah. So as
98 00:09:54.530 ⇒ 00:10:06.650 Uttam Kumaran: Miguel mentioned. We’re kind of in so 2 things on the sales side one, we’re in between a process of pitching by to cocoa to the Coconut Water company on a potential AI
99 00:10:07.190 ⇒ 00:10:11.699 Uttam Kumaran: Project. Basically, they have a they, they want us to.
100 00:10:13.400 ⇒ 00:10:35.003 Uttam Kumaran: they want us to scrape the the availability of their products and up in target across all of target, every single target store in the Us. Because target doesn’t actually tell them when a product is out of stock, you know, in an appropriate time. But if you go to targetcom, you can actually see that this is
101 00:10:35.440 ⇒ 00:10:39.760 Uttam Kumaran: this is ready. And so one of the things that we want to do.
102 00:10:40.136 ⇒ 00:10:43.869 Uttam Kumaran: One of the things they’re asking us to do is basically help them with
103 00:10:44.030 ⇒ 00:11:00.609 Uttam Kumaran: figuring this out. So we have a proposal out to them. We’re basically we’re using like an AI AI scraping tool and we have some automations that change the zip codes and will be we. They basically have 1,800 stores targets that they want to track.
104 00:11:00.730 ⇒ 00:11:05.329 Uttam Kumaran: And we will basically scrape every single day the availability of these products.
105 00:11:05.704 ⇒ 00:11:19.970 Uttam Kumaran: So that’s something that you know Miguel and I are working on. And we’re still waiting kind of hear back from them. We started working with Jabby coffee this week. We had a kick off call yesterday, and Brian should be taking a look
106 00:11:20.368 ⇒ 00:11:25.789 Uttam Kumaran: either today or tomorrow, at some of the outputs, and then kind of starting development on Monday.
107 00:11:26.320 ⇒ 00:11:30.730 Uttam Kumaran: It actually went really smoothly to give you guys some context.
108 00:11:33.090 ⇒ 00:11:35.649 Uttam Kumaran: if you go into clients
109 00:11:35.740 ⇒ 00:11:38.220 Uttam Kumaran: and you go into
110 00:11:38.460 ⇒ 00:11:45.449 Uttam Kumaran: the Jabby coffee client. We actually created a really nice like homepage for them that basically tracks everything.
111 00:11:45.490 ⇒ 00:11:49.319 Uttam Kumaran: So you see, all the tools we’re using who’s on the project.
112 00:11:49.660 ⇒ 00:11:57.381 Uttam Kumaran: the websites kind of like who we’re dealing with. And we’ll start to fill this out with basically all the tasks. So we have like
113 00:11:58.240 ⇒ 00:12:06.140 Uttam Kumaran: set up slack. Set up snowflake things like that. All the meeting notes are in here. With like transcriptions and the agendas.
114 00:12:06.495 ⇒ 00:12:33.610 Uttam Kumaran: And so yeah, this is like a really good, amazing thing that Nico worked on. That we’ll start to reuse for every new client is basically like our homepage for our work for them. You know, we were previously tracking a lot of issues in Github, and we’ll we still will. But our priority is to make sure that the client understands like what’s going on. And so we’re gonna leverage notion for that and link these out to Prs, basically, this one
115 00:12:33.850 ⇒ 00:12:52.680 Uttam Kumaran: again. There’s only one engineer on this and it’s it’s gonna be pre probably gonna be like that for at least a few months. So Brian will be kind of managing tasks. The biggest thing on the engineering side is he’ll be using the snowflake setup scripts, and we’ll we’ll be creating like a template repo, basically for
116 00:12:52.810 ⇒ 00:12:56.499 Uttam Kumaran: one repo with real dbt and snowflake.
117 00:12:59.060 ⇒ 00:13:07.344 Uttam Kumaran: so that’s on this side. What else? Oh, yeah. Okay. So I can talk a little bit about
118 00:13:08.350 ⇒ 00:13:10.820 Uttam Kumaran: the website.
119 00:13:12.200 ⇒ 00:13:13.680 Uttam Kumaran: So
120 00:13:18.910 ⇒ 00:13:23.839 Uttam Kumaran: so we’re making several updates website. And some of this isn’t staging. Some of this
121 00:13:24.000 ⇒ 00:13:26.349 Uttam Kumaran: is still in development.
122 00:13:28.100 ⇒ 00:13:29.573 Uttam Kumaran: but we?
123 00:13:30.410 ⇒ 00:13:31.880 Uttam Kumaran: we added.
124 00:13:31.990 ⇒ 00:13:35.439 Uttam Kumaran: we’re working on like a pricing page. Sorry.
125 00:13:35.550 ⇒ 00:13:37.470 Uttam Kumaran: working on like a pricing page.
126 00:13:37.866 ⇒ 00:13:44.299 Uttam Kumaran: With basically like the ability to kind of see some information about how we price and get in contact with us.
127 00:13:45.055 ⇒ 00:14:01.299 Uttam Kumaran: And with some faqs on that. So this is in progress. We’re working on an about us page. I know I asked a bunch of people for head shots. So I think I have most of y’all’s. I think, Pat, I may need one from you. I think everybody on this call. I have that
128 00:14:01.797 ⇒ 00:14:13.402 Uttam Kumaran: and so yeah, we’re just gonna ha basically have like a about us page with everybody’s face here and like links out to stuff. This is looking really really nice. I think, actually, this, this isn’t staging already.
129 00:14:14.180 ⇒ 00:14:18.570 Uttam Kumaran: and we’re just. I’m just working on copy and like adding people’s faces and stuff.
130 00:14:18.710 ⇒ 00:14:23.760 Uttam Kumaran: The other thing that we did is if you go to the blog
131 00:14:24.940 ⇒ 00:14:27.300 Uttam Kumaran: exactly where this lives. Yeah.
132 00:14:28.030 ⇒ 00:14:29.310 Uttam Kumaran: So we’re
133 00:14:29.900 ⇒ 00:14:50.770 Uttam Kumaran: we’re working on like the blog page. And we did a test article today that went out yesterday that like, we tested. Basically, my people are subscribed getting emails and stuff like that like, so just like a small test. So it looks like this is all working and then we have a couple of blog items in the backlog to kind of get done.
134 00:14:51.228 ⇒ 00:14:52.860 Uttam Kumaran: So that’s really nice.
135 00:14:53.050 ⇒ 00:14:54.589 Uttam Kumaran: And then.
136 00:14:55.060 ⇒ 00:14:57.580 Uttam Kumaran: yeah, we have one person.
137 00:14:57.800 ⇒ 00:15:02.199 Uttam Kumaran: I’m kind of starting to help out on the website. I don’t think Anne is on here, but
138 00:15:02.731 ⇒ 00:15:18.500 Uttam Kumaran: and is starting. We have Anne and Jp, who, I think I’ll try to introduce everyone on Monday. They’re working on all this stuff around the website. So we have things. You know. Not only are we working on like the about us page we’re working on
139 00:15:18.870 ⇒ 00:15:19.800 Uttam Kumaran: on
140 00:15:20.750 ⇒ 00:15:24.758 Uttam Kumaran: we’re working on more enhancements on like the
141 00:15:25.900 ⇒ 00:15:28.459 Uttam Kumaran: the service pages. So let me just
142 00:15:29.500 ⇒ 00:15:31.989 Uttam Kumaran: scroll. If this is gonna work.
143 00:15:36.210 ⇒ 00:15:37.929 Uttam Kumaran: yeah, we’re working on just like
144 00:15:38.100 ⇒ 00:15:40.559 Uttam Kumaran: further redesigns on
145 00:15:42.940 ⇒ 00:15:45.799 Uttam Kumaran: like the services pages
146 00:15:46.481 ⇒ 00:15:49.368 Uttam Kumaran: with like some nice animations and some nice
147 00:15:51.250 ⇒ 00:15:53.500 Uttam Kumaran: you know. So there’s some nice features to make this look
148 00:15:53.600 ⇒ 00:15:55.213 Uttam Kumaran: really great.
149 00:15:56.530 ⇒ 00:16:00.680 Uttam Kumaran: And so I’m excited to kind of like make some of these updates
150 00:16:01.630 ⇒ 00:16:04.610 Uttam Kumaran: as well as like really great, like mobile views of all this.
151 00:16:05.313 ⇒ 00:16:06.440 Uttam Kumaran: And then
152 00:16:07.470 ⇒ 00:16:12.627 Uttam Kumaran: we’ll probably take another stab at some of the stuff on the services and industries pages.
153 00:16:13.080 ⇒ 00:16:41.491 Uttam Kumaran: but I think the biggest thing will be once we have pricing done the about us done. We’ve kind of, and the blog done. We’ve kind of wrapped up the 1st version of the site to the point where we can publish all these pieces of content. And we’ll start like kind of going, live with some stuff, and then constantly kind of like redesign for another version. As we kind of get more context. We’ll probably add some more sections on on the AI side as well in the next, like month or 2. Miguel and I are like working on that
154 00:16:41.810 ⇒ 00:16:51.070 Uttam Kumaran: And honestly, what we’ll probably do is take some of the automations that we’ve done internally and wrap those into blog posts and things that we can market externally.
155 00:16:51.670 ⇒ 00:16:55.949 Uttam Kumaran: otherwise. The only other. I think that is.
156 00:16:56.140 ⇒ 00:17:00.300 Uttam Kumaran: yeah. I think that might be it. We talked about the blog. We talked about the website.
157 00:17:03.410 ⇒ 00:17:07.729 Uttam Kumaran: oh, yeah. So I’m I’m I’m interviewing a couple of people for
158 00:17:07.829 ⇒ 00:17:24.259 Uttam Kumaran: like kind of like copywriting and illustrations, and like, kind of building decks and things like that. This is going to be like copywriting for the website, helping us build AI tools that kind of like have our brand voice and all the kind of
159 00:17:24.260 ⇒ 00:17:41.595 Uttam Kumaran: stuff we talk about. But then, also helping with like, instead of using like stock images for stuff like this like, can we actually build illustrations and things like that? So kind of leaning in a bit more to bringing on a couple of people to help with, like the external facing side of things.
160 00:17:44.170 ⇒ 00:17:47.796 Uttam Kumaran: yeah, I think that’s most of the updates.
161 00:17:52.760 ⇒ 00:17:56.800 Uttam Kumaran: yeah, any questions or thoughts or ideas.
162 00:17:59.640 ⇒ 00:18:01.760 Uttam Kumaran: I know, Ryan. Also
163 00:18:01.810 ⇒ 00:18:05.274 Uttam Kumaran: you push the Pr. For the chat. Gpc, stuff
164 00:18:06.250 ⇒ 00:18:13.510 Ryan Luke Daque: Yeah, it’s it still went into an error at the moment when I tested it. But yeah, I I’ll continue working on that one.
165 00:18:14.090 ⇒ 00:18:22.450 Uttam Kumaran: Yeah, we’re we’re starting to leverage, chat, gpt in our github workflows for like error catching. And there’s a whole host of use cases that we can
166 00:18:22.760 ⇒ 00:18:25.689 Ryan Luke Daque: Code review and stuff like that. Yeah.
167 00:18:25.690 ⇒ 00:18:26.430 Uttam Kumaran: That
168 00:18:26.898 ⇒ 00:18:35.771 Uttam Kumaran: and then there’s I think we’re also we’re also starting to build a lot more tools and relevance for like looking into all of our AI stuff.
169 00:18:38.050 ⇒ 00:18:41.008 Uttam Kumaran: see? That’s been. Oh, the other thing is, yeah. I
170 00:18:41.640 ⇒ 00:18:55.939 Uttam Kumaran: we have a partner on the medical side that we’re starting. We’ve been doing work with, but it’s been slow, and I actually connected him to Abigail this week. He is like an Md. Phd. In the Uk. But
171 00:18:56.050 ⇒ 00:19:09.523 Uttam Kumaran: like has a lot of context on, you know how we can bring data and AI stuff into like hospitals or clinics. So he’ll be working on like putting together prospect lists that we can start to market towards in the medical industry.
172 00:19:11.280 ⇒ 00:19:26.269 Uttam Kumaran: but yeah, so I think the biggest things are like just continuing on to deliver for pool parts and Javi coffee. And then we have, like one or 2 things in the pipeline and then we’re starting to do some outbound stuff this month.
173 00:19:26.370 ⇒ 00:19:28.900 Uttam Kumaran: So yeah, I think that’s the big things.
174 00:19:29.550 ⇒ 00:19:33.780 Uttam Kumaran: Anything else to chat about, or any other thoughts.
175 00:19:35.308 ⇒ 00:19:42.790 joshuadeveyra: Maybe. Ota, maybe it’s a good idea to also inform the team that we got selected for their relevance. Some. I I forgot what it’s specific. It’s called right.
176 00:19:42.790 ⇒ 00:19:53.959 Uttam Kumaran: Yeah. So we yeah. The other thing I’ll I’ll share is like, if you’re if you’re interested, we some we I have. We have slacks with some of our like vendors. But
177 00:19:54.150 ⇒ 00:20:01.250 Uttam Kumaran: we’re I’m also in discord with several vendors. Like, for example, and I’ll just share this
178 00:20:02.640 ⇒ 00:20:14.690 Uttam Kumaran: like relevance has a discord channel that we’re in. Real has a discord channel. That I encourage you if you want to join. In fact, Ryan actually posted today
179 00:20:15.080 ⇒ 00:20:21.086 Uttam Kumaran: I posted a few days ago, like 2 days ago, about some fix that we noticed about
180 00:20:22.100 ⇒ 00:20:50.319 Uttam Kumaran: actually setting up real in within the github actions workflow. So I’m kind of encouraging everybody to interact more with some of our vendors. I think you’d be surprised that some of the software we’re using is a team of like 20 or 30 people. And you can actually, just like, get everybody on the phone really easily and like talk to them and actually impact roadmap get support. So I want to encourage our team to do that. So if you’re not in discord and you want to let me know. I’ll I’ll invite you. We don’t have a group, but I might just start a group chat so we can all
181 00:20:50.470 ⇒ 00:20:52.140 Uttam Kumaran: case we need to share stuff.
182 00:20:52.475 ⇒ 00:21:01.269 Uttam Kumaran: And then, yeah, relevance has a discord as well. And we applied to actually be part of their customer advisory board. And we got selected.
183 00:21:01.661 ⇒ 00:21:25.798 Uttam Kumaran: I thought it was surprising. I took maybe because Miguel was there because he’s done a lot of work with them and knows those guys. But basically, I think we’re gonna have the ability to impact the roadmap. And we have a meeting with them next week to to like learn about some upcoming features. And so, yeah, I think it’s been a really amazing tool to help us with automation and to hopefully package that and sell. So
184 00:21:26.780 ⇒ 00:21:30.079 Uttam Kumaran: yeah, that’s been that’s been great as well, so
185 00:21:34.480 ⇒ 00:21:35.420 Uttam Kumaran: cool
186 00:21:38.120 ⇒ 00:21:39.620 Uttam Kumaran: anything else.
187 00:21:49.000 ⇒ 00:21:49.590 Nicolas Sucari: Anything, so.
188 00:21:49.590 ⇒ 00:21:50.599 joshuadeveyra: Other thing is.
189 00:21:50.660 ⇒ 00:21:54.719 joshuadeveyra: we have like a meeting with Browser base in like 4 min, 5 min.
190 00:21:54.900 ⇒ 00:22:22.189 Uttam Kumaran: Yeah, yeah, we’re meeting with a couple of the AI vendors, like some of the scraping companies and things like that. Basically, just like, very similarly, you know, to what you guys know that we do on the data side, where we just kind of like, meet all the companies. And like, we’re we’re doing some of that on the AI side where we try to get a hold of like some of the key companies and just learn about the products and see how we can leverage them. So we’re talking to Browser base. We also talked to another agency today that’s doing AI work just to learn about how they’re marketing and stuff.
191 00:22:22.280 ⇒ 00:22:26.570 Uttam Kumaran: So we’re continuing to kind of meet like with specialists in the industry, basically. So
192 00:22:27.500 ⇒ 00:22:28.380 Uttam Kumaran: yeah.
193 00:22:30.130 ⇒ 00:22:30.780 Nicolas Sucari: Nice.
194 00:22:36.610 ⇒ 00:22:48.769 Uttam Kumaran: Cool. Okay. Well, if nothing else. I guess. Have a Good Friday, everybody. I’ll still mean slack. I think, Abigail, I’m gonna try to take a look at lead stuff later today. Just have a kind of a pack day of meetings until like one, my time
195 00:22:49.089 ⇒ 00:22:52.679 Uttam Kumaran: but I know we’re still sitting there hopefully, Patrick, if he’s back
196 00:22:52.870 ⇒ 00:22:58.530 Uttam Kumaran: working today, I know he’s kind of been out because of the weather. He can like take a look and confirm all those
197 00:22:58.859 ⇒ 00:23:06.370 Uttam Kumaran: but I also I know you kind of you could feel free to message Chang in that medical group, too, to kind of get started on that stuff.
198 00:23:09.090 ⇒ 00:23:10.689 Uttam Kumaran: oh, yeah, cool.
199 00:23:12.440 ⇒ 00:23:14.979 Uttam Kumaran: alright guys. Well, I appreciate it. We’ll talk soon.
200 00:23:16.550 ⇒ 00:23:17.190 Ryan Luke Daque: Thanks.
201 00:23:17.190 ⇒ 00:23:18.369 Nicolas Sucari: Great Friday. Guys.
202 00:23:18.750 ⇒ 00:23:20.409 Ryan Luke Daque: Happy, happy, Friday.
203 00:23:20.580 ⇒ 00:23:21.720 joshuadeveyra: Hi! Everyone.