Meeting Title: Uttam Kumaran’s Personal Meeting Room Date: 2024-12-13 Meeting participants: Luke Daque, Nicolas Sucari, Uttam Kumaran, Robert Tseng, Miguel De Veyra, Casie Aviles
WEBVTT
1 00:00:14.420 ⇒ 00:00:15.070 Miguel de Veyra: Hey? What’s up?
2 00:00:23.590 ⇒ 00:00:24.760 Miguel de Veyra: You have. Sec. 2.
3 00:00:26.290 ⇒ 00:00:27.970 Uttam Kumaran: I’m still sick. Dude.
4 00:00:27.970 ⇒ 00:00:31.109 Miguel de Veyra: I think we’re all sick right now. Even Casey has some
5 00:00:34.180 ⇒ 00:00:35.710 Miguel de Veyra: merry Christmas. I guess
6 00:00:41.130 ⇒ 00:00:45.710 Miguel de Veyra: I’m trying out that that open a.
7 00:00:45.710 ⇒ 00:00:46.580 Uttam Kumaran: Seminary.
8 00:00:46.860 ⇒ 00:00:48.200 Miguel de Veyra: Yeah, the Gemini thing.
9 00:00:48.840 ⇒ 00:00:53.469 Miguel de Veyra: But we read, I hopped on a call with Casey earlier.
10 00:00:55.130 ⇒ 00:00:57.490 Miguel de Veyra: Wait. Let me check.
11 00:01:04.180 ⇒ 00:01:07.199 Uttam Kumaran: Let me do that. I don’t know a single person using Gemini so.
12 00:01:07.610 ⇒ 00:01:13.219 Miguel de Veyra: Yeah, no, we tested it before, like we with Casey, we we had some German clients that
13 00:01:13.360 ⇒ 00:01:22.269 Miguel de Veyra: you know. For some reason they don’t, because Germany doesn’t allow. Like, if Openai doesn’t have servers, I think at least during that time they don’t allow, you know.
14 00:01:22.670 ⇒ 00:01:25.219 Miguel de Veyra: the user data to be stored there, so
15 00:01:25.530 ⇒ 00:01:28.869 Miguel de Veyra: we had to use Gemini. It was just bad.
16 00:01:38.660 ⇒ 00:01:39.979 Miguel de Veyra: is Nico joining.
17 00:01:42.520 ⇒ 00:01:44.270 Uttam Kumaran: Yeah, I think everybody should be joining.
18 00:01:44.970 ⇒ 00:01:45.669 Miguel de Veyra: Not perfect.
19 00:01:46.140 ⇒ 00:01:47.060 Luke Daque: Hey, guys.
20 00:01:47.880 ⇒ 00:01:48.620 Uttam Kumaran: Hey!
21 00:01:51.420 ⇒ 00:01:52.800 Miguel de Veyra: Oh, new haircut, too.
22 00:01:53.914 ⇒ 00:01:54.440 Luke Daque: Yeah.
23 00:01:57.190 ⇒ 00:02:00.110 Uttam Kumaran: Nice dude, a lot of hair man.
24 00:02:02.560 ⇒ 00:02:04.329 Luke Daque: It was getting messy.
25 00:02:04.330 ⇒ 00:02:08.169 Uttam Kumaran: You have like like movie star here.
26 00:02:08.639 ⇒ 00:02:09.149 Luke Daque: But
27 00:02:14.020 ⇒ 00:02:22.299 Luke Daque: my hair was getting messy, and I had to have my kids have a haircut as well, and they don’t wanna have a haircut if I don’t have one as well. So
28 00:02:22.520 ⇒ 00:02:25.380 Luke Daque: yeah, we all had a haircut.
29 00:02:31.470 ⇒ 00:02:32.300 Miguel de Veyra: Hey, Robert.
30 00:02:32.650 ⇒ 00:02:33.440 Robert Tseng: Hey, guys.
31 00:02:33.830 ⇒ 00:02:34.620 Uttam Kumaran: Hey?
32 00:02:41.570 ⇒ 00:02:47.357 Uttam Kumaran: Alright, maybe let’s get started. We can wait for Nico and Ann.
33 00:02:48.310 ⇒ 00:02:56.369 Uttam Kumaran: But yeah, super solid week. I think I’ve talked to everybody like here and there. But I’ll just kind of go through a couple of like
34 00:02:56.997 ⇒ 00:03:12.509 Uttam Kumaran: bigger wins. I just like pull up my schedule to kind of see. So we had a particularly a couple of big wins on the AI side. I would say so. A lot of the Demos that the team has been working on for the past weeks. Really came together this week.
35 00:03:12.878 ⇒ 00:03:23.380 Uttam Kumaran: We had a demo for a big home services company as well as a demo for a venture. Capital firm both, you know, really, really went well and are moving on.
36 00:03:23.650 ⇒ 00:03:29.060 Uttam Kumaran: of course, as usual, like nothing really matters until money hits the account. But
37 00:03:29.080 ⇒ 00:03:35.993 Uttam Kumaran: I think we’re getting better consistently, not only at executing AI projects, but presenting them.
38 00:03:37.210 ⇒ 00:03:42.450 Uttam Kumaran: I think the other stuff that’s been going really well is, we’re really gearing up on the
39 00:03:42.570 ⇒ 00:03:48.170 Uttam Kumaran: project planning side and the basically like how we execute on work side.
40 00:03:48.790 ⇒ 00:03:51.064 Uttam Kumaran: so we’ve done a lot of work
41 00:03:51.460 ⇒ 00:03:56.434 Uttam Kumaran: on basically structuring notion in a way that’s gonna work for all the teams.
42 00:03:56.870 ⇒ 00:04:07.620 Uttam Kumaran: on executing any work from content to engineering as well as you know, higher level work. So I’m super excited to kind of implement that some of that will go into motion. Next week.
43 00:04:07.890 ⇒ 00:04:24.370 Uttam Kumaran: Kind of on that lens, too. I know a bunch of folks here are working on client work. So next week we’re gonna start. Probably a new process on how we meet and actually talk and plan for client work. Kind of 2 things, and I think hopefully.
44 00:04:24.626 ⇒ 00:04:43.890 Uttam Kumaran: especially for you, Luke. This should help a little bit on the data side, making things a little bit more predictable. And you know, as we look to close some of the clients on the AI side. They’ll kind of feed right into this. So we’re gonna have a process where we do planning. So we kind of plan for a little bit of the week ahead. As well as like a look
45 00:04:43.900 ⇒ 00:05:08.269 Uttam Kumaran: at the current week’s tasks. These will be separate meetings. So that way we kind of go back to what we were doing before, which is like, what’s coming up ahead? Can we set up requirements for those and basically create the tickets. Additionally, then we’ll have basically like project meetings on Monday, and then we’re gonna have a client review meeting among like me, Robert Miguel and Nico on Fridays.
46 00:05:09.550 ⇒ 00:05:13.372 Uttam Kumaran: So yeah, those are like the high level, I think. Highlights
47 00:05:13.970 ⇒ 00:05:23.927 Uttam Kumaran: for this week, I think. Otherwise, we made a lot of really amazing progress on the design side. Maybe I’ll just go ahead and
48 00:05:24.680 ⇒ 00:05:30.050 Uttam Kumaran: flash a couple of things up that we’ve worked on
49 00:05:30.170 ⇒ 00:05:32.250 Uttam Kumaran: so everybody can take a look.
50 00:05:38.500 ⇒ 00:05:47.168 Uttam Kumaran: So one is we have these really great designs for what’s called an sow, which is just a statement of work.
51 00:05:47.999 ⇒ 00:05:52.940 Uttam Kumaran: Basically, it’s once we meet with a client for some time we are able to.
52 00:05:53.640 ⇒ 00:06:00.220 Uttam Kumaran: sorry, I’m hoping not giving anyone motion. Sickness. I we’re we’re able to actually put together like a
53 00:06:00.480 ⇒ 00:06:26.960 Uttam Kumaran: a short document about the stuff that they requested from us and how much our implementation is gonna cost. Typically, our leads go through a couple like this main process where we meet with them. Maybe they give us some requirements. Maybe we do a demo. They’re like cool. We want to work with you guys. We loved everything. We then send them an sow, which is basically like a non. It’s not a legally binding document, but it is basically like, Hey, here’s everything around the project.
54 00:06:27.268 ⇒ 00:06:53.450 Uttam Kumaran: And then finally, we sign paperwork. The nice thing is, typically, this process has not been as standardized. Sometimes we just do things over email, sometimes we do send documents. I would say, we’re gonna start to build these sorts of standard documents that are not only gonna include information about the project, but also pricing, which is another thing that I’ll share, that we’re starting to kind of standardize on. So I’m super super excited for this. I think, Ann.
55 00:06:53.802 ⇒ 00:07:10.039 Uttam Kumaran: We already are also working on the thing Robert you sent this morning, which is the sow template for like a data audit. So the nice thing is. Also, we’re gearing up to basically go from like handling a couple of leads per per week.
56 00:07:10.040 ⇒ 00:07:31.241 Uttam Kumaran: So you know, maybe getting a several in process. So all of our things need to scale. And so it’s been nice this week and last week to kind of think of like, what are the bottlenecks in the process, one of which is like we need standard services. And so we’ve worked on a list of all the services that we have in the company. And and this is something that maybe I’ll just
57 00:07:32.580 ⇒ 00:07:35.000 Uttam Kumaran: I’ll flash up here
58 00:07:45.310 ⇒ 00:07:46.360 Uttam Kumaran: one.
59 00:07:47.760 ⇒ 00:07:48.590 Uttam Kumaran: Oh.
60 00:07:56.320 ⇒ 00:08:03.120 Uttam Kumaran: okay, so yeah, we have our like a service offerings. Page here. Basically.
61 00:08:04.050 ⇒ 00:08:18.969 Uttam Kumaran: I think for most part, people are familiar, at at least that we do data. And we do AI work. But more specifically, these are like the 5 services that we offer. We offer product analytics and strategy data, engineering, internal AI customer facing AI and training.
62 00:08:19.290 ⇒ 00:08:42.029 Uttam Kumaran: If you think about a service? A service is something we do for clients and a service includes deliverables, ways of working. Who’s gonna get staffed on that? The team that’s gonna take it on. And so these are all things that we basically had a good idea about all the things we’re doing. But I think it’s really great. For a couple of reasons, to write all this down. So within an individual service, we also have service offerings.
63 00:08:42.030 ⇒ 00:09:05.232 Uttam Kumaran: So product analytics is a little bit broad. But we’re we have like Ab, testing lifecycle reporting under data engineering, we have a couple of things as well. So each of these has associated with a couple of things. One, this clients who we’re working on this with and then also pricing models. So we’re currently working on what the pricing is gonna be for each of these services that way. When we get a client
64 00:09:05.700 ⇒ 00:09:24.240 Uttam Kumaran: to kind of give you a sense of like for me and Robert. Like what our process is on the sales side we get a client, and we quickly have to determine what service do they fit in, or if they don’t fit into a service, it’s like a can we send them to someone else, or is it like a we don’t help you right. If anyone’s been in sales calls with me, you know, it’s like it’s a little bit of a dance.
65 00:09:24.280 ⇒ 00:09:29.829 Uttam Kumaran: but it should be less of a dance, meaning because dancing is very hard. We are gonna start to
66 00:09:29.850 ⇒ 00:09:31.250 Uttam Kumaran: meet with like
67 00:09:31.280 ⇒ 00:09:53.719 Uttam Kumaran: tens and 20 and 30 leads per week. It. It’s got to be very straightforward with the stuff we do, how we do it, how we charge, and how we can move on to the next piece right quickly. In that meeting. We want to understand budget timeline, who’s involved? What’s the priority, and then fit them into one of these buckets as soon as they’re fit into this bucket. A bunch of stuff stuff kicks off.
68 00:09:54.010 ⇒ 00:10:07.800 Uttam Kumaran: We need to create the sow. We need to send them some legal documents, right? So everything becomes streamlined. So instead of taking maybe a week to go from a meeting to like getting the sow together to get them getting them docs.
69 00:10:07.900 ⇒ 00:10:19.859 Uttam Kumaran: how can we shrink that, but also make it a lot lighter process on everybody involved. So this is sort of the the start of a lot of that. So thanks. And for you know, working on
70 00:10:19.920 ⇒ 00:10:24.210 Uttam Kumaran: that stuff on the design side.
71 00:10:24.838 ⇒ 00:10:28.539 Uttam Kumaran: Another thing that I will share.
72 00:10:28.840 ⇒ 00:10:30.390 Uttam Kumaran: Give me one sec.
73 00:10:45.550 ⇒ 00:10:47.440 Uttam Kumaran: Oh, where am I?
74 00:10:50.790 ⇒ 00:10:53.423 Uttam Kumaran: Is? We worked on a
75 00:10:53.970 ⇒ 00:10:59.600 Uttam Kumaran: little bit of a couple of updates to the homepage. A lot of this is gonna change over the next
76 00:10:59.710 ⇒ 00:11:18.530 Uttam Kumaran: 2 months as we nail down not only services and pricing but we made some like aesthetic updates to the site. Just cleaned up a couple of things started adding stuff about the AI work we’re doing. We have all of our blogs here. So overall again, I think the the site looks really great.
77 00:11:18.530 ⇒ 00:11:42.390 Uttam Kumaran: 2 things we’re working on for the newsletter, this we’re gonna edit and make it a little bit more clear. This is a little bit legacy, and then we’re also gonna add a little bit of like a pop up for people who are just visiting the site for the 1st time to get them into our newsletter. The nice thing. And and, Robert, we were talking about this, you know, last night, or you messaged me last night is people we meet. They may not have a need for us today.
78 00:11:42.689 ⇒ 00:12:07.160 Uttam Kumaran: And that implies that they have. They will potentially have a need for us tomorrow and tomorrow can be tomorrow, 6 months, 2 years. And so we’re in. We’re in this business for the long haul, and we want to always be top of mind for people that are like, I need help with data. I need to call these guys. I need help with AI, I need to call these guys right. And so getting people into the newsletter getting people on Linkedin. It all kind of works to sort of be top of mind for folks
79 00:12:07.160 ⇒ 00:12:15.300 Uttam Kumaran: and we’re seeing people that are coming back from last year, 6 months ago and asking for help. Who were maybe weren’t a fit back then.
80 00:12:15.612 ⇒ 00:12:31.877 Uttam Kumaran: So the way the site is gonna change a little bit one, we’re gonna start to actually have pricing and services really clearly articulated. Right now, I I think it’s okay. But it’s super generic, not very clear. It’s gonna be super crystal clear what we do and how we charge.
81 00:12:32.270 ⇒ 00:12:39.314 Uttam Kumaran: you know, I think the other thing okay, and and Ryan something to fix. I think the homepage link isn’t working
82 00:12:40.020 ⇒ 00:12:54.270 Uttam Kumaran: But another thing that we’re gonna do is also have AI and data be the 2 prominent parts in the site. Currently, it’s been mostly data. We’re starting to add some AI but that’s gonna be a kind of a little bit of more of a grand
83 00:12:54.360 ⇒ 00:12:55.395 Uttam Kumaran: redesign.
84 00:12:56.490 ⇒ 00:13:22.710 Uttam Kumaran: the nice thing is all of this sort of builds on us, having all that content ready to design. So having a very clear understanding of our what our services are, what our pricing is, the types of things we do also Demos. So we’re starting. We now have built almost 4 or 5 different demos, and we have internal stuff we’re using in AI. All of that we can package, display and have available for the sales process. So I’m super super excited. For the work
85 00:13:22.860 ⇒ 00:13:43.036 Uttam Kumaran: that’s been done here, and the stuff we have planned. Stuff behind the scenes that you can’t really see. Halim has done an amazing job making sure that there are no accessibility issues. Header issues Http issues on the site. And so our our SEO is really really doing super well. In particular.
86 00:13:44.310 ⇒ 00:14:06.666 Uttam Kumaran: if I just go to our search console and just show everyone like an overview. We are starting to get a lot more impressions on the SEO side. And this is a lot of the work that we did really in October and November. And a lot of this is starting to get more views. On Google, which is really great.
87 00:14:07.100 ⇒ 00:14:17.610 Uttam Kumaran: basically, where how this evolves is, we’re gonna start to rank for the key keywords that people are searching for when they need help right now. We’ve been mostly prioritizing technologies.
88 00:14:17.750 ⇒ 00:14:37.430 Uttam Kumaran: In the next month we’re gonna be meeting as a team and talking a little bit about how do we prioritize the key? Intent keywords when people are looking to bring on someone like us? AI, consulting data consulting Snowflake. Help! How do we rank for things like that. You know, I had a great conversation with another CEO yesterday, who basically
89 00:14:37.430 ⇒ 00:14:51.499 Uttam Kumaran: said, like most of their traffic now, is coming from Linkedin and SEO, and they’ve ranked really, really. Well, it took them about a year, though, to get kind of get SEO to grow. And I think again, this is all sort of kudos to Brian and Halim to help us have a
90 00:14:51.500 ⇒ 00:15:02.039 Uttam Kumaran: scalable Cms process. But also we have a great sort of keyword research program. And, as you can see here, we are getting impressions on
91 00:15:02.120 ⇒ 00:15:09.560 Uttam Kumaran: some fairly like, I would think, competitive keywords. And of course, the next goal is to really convert these to clicks.
92 00:15:09.943 ⇒ 00:15:15.680 Uttam Kumaran: So I’m excited for for all these to grow
93 00:15:17.000 ⇒ 00:15:23.360 Uttam Kumaran: I guess the only other thing I had is maybe to to pass it to.
94 00:15:23.470 ⇒ 00:15:26.079 Uttam Kumaran: Maybe, Miguel, if you would love
95 00:15:26.170 ⇒ 00:15:30.310 Uttam Kumaran: to demo a couple of the stuff the AI team worked on this week.
96 00:15:31.820 ⇒ 00:15:33.380 Uttam Kumaran: I think that could be
97 00:15:34.320 ⇒ 00:15:38.500 Uttam Kumaran: pretty cool. Just to share some of the stuff that we did for clients.
98 00:15:39.110 ⇒ 00:15:43.249 Miguel de Veyra: Okay, I think the Apc. One would be the good one to Demo. Now.
99 00:15:43.750 ⇒ 00:15:44.470 Uttam Kumaran: Yeah.
100 00:15:44.910 ⇒ 00:15:46.639 Miguel de Veyra: Okay, sure. Give me a moment.
101 00:15:50.610 ⇒ 00:15:51.950 Uttam Kumaran: Any questions.
102 00:15:52.350 ⇒ 00:15:53.720 Uttam Kumaran: In the meantime.
103 00:16:10.890 ⇒ 00:16:12.069 Miguel de Veyra: Yeah, but he.
104 00:16:23.150 ⇒ 00:16:38.800 Miguel de Veyra: okay, yeah. So one of the things we did was basically for this demo for this client, more specifically, is that we moved it out of relevance. Because it was just not performing as good like. There’s so much errors, and it takes like
105 00:16:38.880 ⇒ 00:16:40.189 Miguel de Veyra: quite a long time.
106 00:16:40.330 ⇒ 00:16:46.340 Miguel de Veyra: So we moved it into like fully. Na, then, let me just do this one. Basically.
107 00:16:46.510 ⇒ 00:16:48.560 Miguel de Veyra: So here.
108 00:16:56.210 ⇒ 00:17:02.120 Miguel de Veyra: yeah, see, it’s a lot faster compared to do it through here.
109 00:17:11.089 ⇒ 00:17:14.500 Miguel de Veyra: Yeah. So that’s basically one of the you know
110 00:17:14.880 ⇒ 00:17:17.159 Miguel de Veyra: things that we did this week is
111 00:17:18.423 ⇒ 00:17:22.540 Miguel de Veyra: we are going to start migrating. This was the 1st one. Basically.
112 00:17:22.650 ⇒ 00:17:29.300 Miguel de Veyra: my, we we’re gonna start migrating all of our relevance agents, at least not the the client side, not the internal tools.
113 00:17:29.390 ⇒ 00:17:33.580 Miguel de Veyra: We’re gonna migrate it into any 10. So we’re doing like a lot of
114 00:17:34.380 ⇒ 00:17:41.120 Miguel de Veyra: I would say, R&D on this part, I think that’s pretty.
115 00:17:41.120 ⇒ 00:17:41.760 Uttam Kumaran: Yeah, maybe.
116 00:17:42.640 ⇒ 00:17:47.040 Uttam Kumaran: Yeah. Maybe, Miguel, I can show one thing just to show a little bit of background on
117 00:17:48.690 ⇒ 00:17:59.920 Uttam Kumaran: like what exactly we did for them. So basically, this client is a home services company. Basically, they’re actually based.
118 00:18:00.489 ⇒ 00:18:17.480 Uttam Kumaran: maybe like 10 min north of where I am. Here in Austin. But they serve like basically most of Texas. They’re one of the largest home services companies in Texas. Very well known company like, you can see their buses and stuff everywhere in town.
119 00:18:17.879 ⇒ 00:18:29.770 Uttam Kumaran: Basically, they provide a ton of different services. One is pest control bugs, stuff like that. One of the things we did is we basically, they have all these sops, which is basically
120 00:18:30.129 ⇒ 00:18:39.960 Uttam Kumaran: it’s kind of similar to like what we’re building honestly, internally, which is like, how do we run meetings? How do we do services? Think about this for pest control? So they have about
121 00:18:40.260 ⇒ 00:18:50.200 Uttam Kumaran: you know, like, I don’t know, like 30 or 40 of these service protocols on this website, and basically, it’s basically serves like
122 00:18:50.470 ⇒ 00:19:12.989 Uttam Kumaran: how to actually run the termite monitor protocol and stuff like that. And so these are all things that are used by their technicians. When they go into the house and kind of try to service for the for this stuff. What we did is we basically, I mean what we did. And by me, I mean, Casey, what we did is we basically put all this into a knowledge base. Csv,
123 00:19:13.400 ⇒ 00:19:22.639 Uttam Kumaran: so we scraped all this Sfps, they’re all in this in this. Csv, we also added one other Pdf, just to demonstrate that you can source
124 00:19:22.690 ⇒ 00:19:34.380 Uttam Kumaran: knowledge from multiple types of documents. So we have this Pdf on this concept of annual bait stations. What we did is actually, it’s basically think of it as like
125 00:19:34.420 ⇒ 00:19:40.635 Uttam Kumaran: control F on like steroids. So you can basically ask any question about like
126 00:19:41.170 ⇒ 00:19:45.790 Uttam Kumaran: Tell me about your permite services.
127 00:19:45.810 ⇒ 00:20:08.339 Uttam Kumaran: So everybody here is used. Chat Gpt. Everyone here is probably taken a Pdf. Uploaded into there asked the question. This is just like that wrapped up into a system. Right? So think about how knowing it is to take a Pdf. Put it in there. Imagine now, you’re dealing with 30 Pdfs. Imagine now you’re dealing with Pdfs images, all sorts of stuff. And imagine now you want to share it with other people.
128 00:20:08.460 ⇒ 00:20:10.239 Uttam Kumaran: So this is where it’s like.
129 00:20:10.260 ⇒ 00:20:18.380 Uttam Kumaran: there’s no really great out of the box solution for this. That’s that’s actually reasonable in price. And it has all this customization.
130 00:20:18.460 ⇒ 00:20:35.229 Uttam Kumaran: So everything, you know. I know everybody here is using chat, Gpt hopefully, or Claude for something. But think of these, what we’re doing for clients just like leveling on top of that, either, abstracting certain pieces, adding more functionality and making it available so quickly. It said, somebody term my services cool. Here’s
131 00:20:35.310 ⇒ 00:20:43.579 Uttam Kumaran: all the stuff we do for termites. All of this is coming from source documents like none of this is like hallucination.
132 00:20:43.889 ⇒ 00:21:07.030 Uttam Kumaran: So this demo really kind of like blew them away on the call. They not only have a lot of people in the field that could use this information and are struggling to to give service because they don’t know it. And they’ve they’ve they not only have passed, they have, like 30 other services, hundreds and hundreds of documents. The other thing is they have a call center. So they get phone calls about small things like this.
133 00:21:07.050 ⇒ 00:21:20.029 Uttam Kumaran: Commonly they have to put you on. Hold things like that that leads to, you know, customer trust loss, maybe losing clients, things like that. So they’re super excited. And they’re planning on moving forward with us, we’re kind of figuring out what the pricing is. But
134 00:21:20.060 ⇒ 00:21:31.430 Uttam Kumaran: again, I think great work by the AI team to make this happen. And we’re gonna turn this into a demo that we can repurpose and sell. So it’s not like a 1 time thing so super super excited.
135 00:21:33.620 ⇒ 00:21:36.060 Uttam Kumaran: About this, any questions about
136 00:21:36.450 ⇒ 00:21:41.739 Uttam Kumaran: this or any other sort of AI Demos this week.
137 00:21:48.800 ⇒ 00:21:50.850 Miguel de Veyra: For Demos and nothing else. Yeah.
138 00:21:51.310 ⇒ 00:22:07.160 Uttam Kumaran: Okay, cool? Yeah, maybe, Nico, I can pass it to you if you want to talk about like data stuff overall and and how we’re doing with projects maybe don’t have to go too in depth, but just chat about like who we’re working with and how stuff is going.
139 00:22:07.960 ⇒ 00:22:30.980 Nicolas Sucari: Yes, of course. So we’re still working with pull parts. And Javi this week. With Javi. We’ve been introducing this new tool called portable. We’re trying to replace 5 tran and trying to see if we can reduce some costs of the Etl work that they are doing for us. We’ve been testing, dealing with some issues in the integration of one of their connectors.
140 00:22:31.312 ⇒ 00:22:50.259 Nicolas Sucari: We managed to get all of the data now in Snowflake. So we’re kind of starting to test. If that data is is accurate on comparison on what we have from Fivetran, and the idea is to keep trying that with shopify, too, so that we can start like replacing this fivetran tool with portable
141 00:22:50.629 ⇒ 00:23:07.630 Nicolas Sucari: and yeah, and we have, like, really good progress on on modeling stuff with with Luke here. He’s been nailing down this week providing pay us and Robert all of the necessary adjustments on the model so that they can create the reporting
142 00:23:07.670 ⇒ 00:23:10.360 Nicolas Sucari: stuff in metabase and amplitude.
143 00:23:10.700 ⇒ 00:23:20.029 Nicolas Sucari: So yeah, that’s going. Well, we are now working towards gathering some documentation on preparing some stuff so that we can work towards our renewal for the next couple of months.
144 00:23:20.050 ⇒ 00:23:31.720 Nicolas Sucari: That’s Javi, and for pull parts a lot of movement. This week we’ve been. We were like slowly, slowly gathering more requirements. We had some issues that we are.
145 00:23:31.730 ⇒ 00:24:00.490 Nicolas Sucari: We’re we’re we’re looking into, regarding shipping. They have, like a new provider, that they are not tracking anywhere in their systems in any tool. They just have some bills that they shared with us, and we are now trying to identify like, what’s the best process in order to include that in in our data and create some reports for them. So yeah, is, everything is really moving right now with pull parts. So we’re gonna try to keep it that way.
146 00:24:00.794 ⇒ 00:24:15.099 Nicolas Sucari: We also brought pias in. He started working on the weather analysis. So we’re gonna try to to share something with them. Next week we talked to pay us to have like a internal deadline for Tuesday, and sharing with them on Thursday, so that we can
147 00:24:15.100 ⇒ 00:24:30.620 Nicolas Sucari: give them a quick, a quick review on what we’ve been doing, and and see if we can get some more insights and gather more requests so that we can continue doing some analysis stuff on that side. Yeah. And then we have peep. Beep is one of yeah. Robert’s clients
148 00:24:31.180 ⇒ 00:24:34.780 Nicolas Sucari: I’ve been just introduced to
149 00:24:35.216 ⇒ 00:24:58.319 Nicolas Sucari: a little bit of what they are doing and what Robert was creating on mixed file. So I’ll be reviewing all of that information and starting on Monday. I’ll I’ll create kind of the status Updates that he was doing. We’re gonna still validate that with him, obviously. And yeah, we’re gonna be sharing that with the client. We’re doing a lot of reporting there and analysis, sharing a lot of trends.
150 00:24:58.320 ⇒ 00:25:17.279 Nicolas Sucari: properties managing. But yeah, that’s all from the data side, I think. Apart from the client side, we have the synthetic data that look has been working on. I don’t know if this week there was a lot of progress, because we have lots to do in in the client side. But it’s something else that we are doing. In the data side.
151 00:25:19.280 ⇒ 00:25:19.890 Uttam Kumaran: Cool.
152 00:25:22.190 ⇒ 00:25:24.460 Nicolas Sucari: Luke, do you wanna mention something?
153 00:25:24.880 ⇒ 00:25:30.519 Luke Daque: No, I was gonna mention we didn’t really do anything in the sense that they decide for.
154 00:25:30.520 ⇒ 00:25:33.990 Uttam Kumaran: Let’s we’ll try to. Maybe I don’t know. We’ll have to do it sometime.
155 00:25:33.990 ⇒ 00:25:38.842 Uttam Kumaran: Yeah, yeah, I want. That’s all I want to work on. But
156 00:25:39.120 ⇒ 00:25:39.940 Luke Daque: Yeah.
157 00:25:39.940 ⇒ 00:25:41.400 Uttam Kumaran: Getting busy, so.
158 00:25:41.800 ⇒ 00:25:42.595 Nicolas Sucari: Yeah.
159 00:25:43.670 ⇒ 00:25:48.990 Uttam Kumaran: Cool anything else. I have one more item, but anything else. And
160 00:25:49.110 ⇒ 00:25:52.180 Uttam Kumaran: man Casey, Robert, anything else. We wanna
161 00:25:52.590 ⇒ 00:25:55.130 Uttam Kumaran: chat about it. I didn’t talk anything about recruiting.
162 00:25:55.350 ⇒ 00:26:05.499 Uttam Kumaran: or I want to get really organized on like, who’s in pipeline before. I’ll kind of share what our open roles are and stuff. I mean, it’s not like a secret, but it’s just a little bit of all over the place.
163 00:26:06.101 ⇒ 00:26:12.199 Uttam Kumaran: But again, I’ll just remind everyone if you have smart friends or family members or smart friends of friends.
164 00:26:12.380 ⇒ 00:26:14.310 Uttam Kumaran: Please make an introduction.
165 00:26:14.500 ⇒ 00:26:19.550 Uttam Kumaran: It doesn’t matter what they do as long as they’re as long as you would describe them as smart.
166 00:26:20.364 ⇒ 00:26:23.439 Uttam Kumaran: I’m happy to talk to them. So
167 00:26:29.370 ⇒ 00:26:35.720 Uttam Kumaran: okay, I mean, if nothing in particular. I think the only thing I want to talk about for next week is we? We wanted to plan
168 00:26:36.270 ⇒ 00:26:41.000 Uttam Kumaran: a little bit of like a holiday party thing on Friday.
169 00:26:42.470 ⇒ 00:26:43.760 Uttam Kumaran: Next Friday.
170 00:26:44.300 ⇒ 00:26:46.469 Uttam Kumaran: Is everyone gonna be here?
171 00:26:47.070 ⇒ 00:26:51.360 Uttam Kumaran: Or should we move it to thur? I mean, or should we move it to Thursday? Because that’s Friday night.
172 00:26:51.480 ⇒ 00:26:54.669 Uttam Kumaran: technically like, what do you guys think.
173 00:26:55.440 ⇒ 00:26:56.360 Miguel de Veyra: Honestly.
174 00:26:57.130 ⇒ 00:26:58.460 Uttam Kumaran: Should I do? Thursday?
175 00:26:58.460 ⇒ 00:27:01.239 Miguel de Veyra: Yeah, yeah. I don’t think there’s gonna be a lot of people
176 00:27:01.270 ⇒ 00:27:04.399 Miguel de Veyra: before Christmas Eve before the Christmas week.
177 00:27:05.180 ⇒ 00:27:06.729 Miguel de Veyra: I’m not sure with you.
178 00:27:08.930 ⇒ 00:27:11.959 Uttam Kumaran: What does everyone think? I guess more for, like.
179 00:27:12.160 ⇒ 00:27:15.279 Uttam Kumaran: I mean, I’m free. I’m free whenever. But I guess.
180 00:27:15.520 ⇒ 00:27:18.560 Uttam Kumaran: And Casey Marianne like, what do you guys think.
181 00:27:21.640 ⇒ 00:27:23.060 Casie Aviles: The 19th right.
182 00:27:23.740 ⇒ 00:27:24.790 Uttam Kumaran: Yeah, 19.th
183 00:27:25.490 ⇒ 00:27:26.769 Casie Aviles: Yeah, yeah, sounds, good.
184 00:27:28.090 ⇒ 00:27:29.969 Uttam Kumaran: Okay, maybe we’ll plan something. Then
185 00:27:30.260 ⇒ 00:27:33.590 Uttam Kumaran: I’m still putting together like what we want to do.
186 00:27:33.880 ⇒ 00:27:35.450 Uttam Kumaran: But I have some ideas.
187 00:27:38.280 ⇒ 00:27:41.819 Uttam Kumaran: So hopefully, something relaxing and chill. We can all do together.
188 00:27:42.670 ⇒ 00:27:47.879 Nicolas Sucari: I tried. I tried Geoguessr a couple of days ago. It’s really difficult.
189 00:27:48.860 ⇒ 00:27:49.670 Uttam Kumaran: It’s hard.
190 00:27:49.890 ⇒ 00:27:55.360 Uttam Kumaran: Yeah, it’s hard to. You have to look at the signs like I usually try to look at like what language the sign is.
191 00:27:56.580 ⇒ 00:27:59.429 Nicolas Sucari: But even though there are places that there are no signs, there is nothing.
192 00:27:59.430 ⇒ 00:28:07.985 Uttam Kumaran: So, yeah, yeah, yeah. So we’ll play. We’ll play some games. And I have some other plans.
193 00:28:08.470 ⇒ 00:28:10.149 Uttam Kumaran: so I think it’ll be fun.
194 00:28:10.747 ⇒ 00:28:26.559 Uttam Kumaran: Yeah. Otherwise, I think this week is kind of short week. We’re just gearing up, I think, by the end of this month also, or started next month we’ll kind of share our larger goals for next year. And we’re kind of gonna do some re architecture meetings and stuff like that. But
195 00:28:26.610 ⇒ 00:28:30.730 Uttam Kumaran: overall like I think we’re really crushing it. I mean, I think
196 00:28:31.240 ⇒ 00:28:36.150 Uttam Kumaran: really a lot of my time has been going into sales and
197 00:28:36.940 ⇒ 00:28:42.735 Uttam Kumaran: somewhat spending time on marketing where I can, but also a lot on sales and sort of organization. And
198 00:28:43.170 ⇒ 00:28:52.970 Uttam Kumaran: I think a lot of that stuff is gonna pay off. We’re gonna be spending today. A small group of us talking about product project management, and sort of implement some stuff for next week.
199 00:28:53.550 ⇒ 00:28:59.279 Uttam Kumaran: And then, yeah, I’m really excited again to kind of set the theme for next year.
200 00:28:59.559 ⇒ 00:29:04.950 Uttam Kumaran: And I’ll I’ll as I usually do, I’ll just repeat this a hundred times is we’re trying to go from.
201 00:29:04.990 ⇒ 00:29:11.909 Uttam Kumaran: you know, working for you know, a few clients to working for 2, 3, 4 times that amount
202 00:29:12.220 ⇒ 00:29:24.459 Uttam Kumaran: right? And so, you know, of course, like, not only will our team structure and sort of the people on this call change the way we we work, and reducing the friction is gonna be super super important.
203 00:29:24.948 ⇒ 00:29:31.640 Uttam Kumaran: You know, setting clear expectations of people having accurate, not even deadlines, but expectations.
204 00:29:31.960 ⇒ 00:29:58.279 Uttam Kumaran: And then again, trying to take on harder and harder things. So for the engineering team. And I mentioned this to Miguel is, and so for for Luke, for Casey, for Miguel. You know, we’re gonna start to work on harder and harder stuff and take on bigger challenges. And so it’s gonna require more like R&D, it’s gonna require more time as an engineering crew. So I’m glad we’ve had some 2 good weeks of the engineering meeting and hopefully, next week will be solid as well. And then,
205 00:29:58.650 ⇒ 00:30:02.370 Uttam Kumaran: yeah, I’m super super excited. For next year we have a lot of stuff going our way. So
206 00:30:06.090 ⇒ 00:30:15.150 Uttam Kumaran: cool. Okay, if nothing else, then we can hop off. Yeah, for everybody who’s signing off have a good weekend, and then
207 00:30:15.240 ⇒ 00:30:18.989 Uttam Kumaran: I think I’ll chat with everybody else on slack or on zoom. Later.
208 00:30:22.140 ⇒ 00:30:22.480 Robert Tseng: Cool.
209 00:30:22.480 ⇒ 00:30:23.600 Robert Tseng: See? You guys, everyone.
210 00:30:24.040 ⇒ 00:30:24.430 Uttam Kumaran: Thanks. Everyone.
211 00:30:24.700 ⇒ 00:30:26.660 Luke Daque: Have a nice Friday. Bye-bye.