Meeting Title: Uttam Kumaran Date: 2025-03-28 Meeting participants: Mariane Cequina, Annie Yu, Luke Daque, Aakash Tandel, Uttam Kumaran, Amber Lin, Miguel De Veyra, Casie Aviles, Ryan Brosas, Caio Velasco
WEBVTT
1 00:01:26.550 ⇒ 00:01:27.650 Uttam Kumaran: Hey, everyone.
2 00:01:28.450 ⇒ 00:01:29.380 Ryan Brosas: Hey, guys.
3 00:01:30.960 ⇒ 00:01:31.500 Caio Velasco: Hello!
4 00:01:31.500 ⇒ 00:01:32.090 Luke Daque: Hello!
5 00:01:32.090 ⇒ 00:01:32.900 Uttam Kumaran: Hey!
6 00:01:35.110 ⇒ 00:01:36.780 Luke Daque: It’s finally, Friday.
7 00:01:40.460 ⇒ 00:01:41.460 Uttam Kumaran: Yeah, it’s been happening
8 00:01:41.460 ⇒ 00:01:42.670 Luke Daque: So fast.
9 00:01:42.670 ⇒ 00:01:44.080 Uttam Kumaran: Yeah, it’s been a good week.
10 00:02:11.080 ⇒ 00:02:13.369 Uttam Kumaran: Wait one more minute and we can get started.
11 00:03:13.130 ⇒ 00:03:19.150 Uttam Kumaran: Okay, let’s get started. I think. Probably not too long of a meeting today.
12 00:03:21.930 ⇒ 00:03:24.459 Uttam Kumaran: But let’s begin so
13 00:03:27.710 ⇒ 00:03:28.495 Uttam Kumaran: great.
14 00:03:29.730 ⇒ 00:03:39.200 Uttam Kumaran: So yeah, I mean, I think this has been a really really enormous week. I mean I it’s really funny. I think every week of the past, like 6 weeks or so, has felt like
15 00:03:39.460 ⇒ 00:04:06.009 Uttam Kumaran: a sea change for the business. I think, in one way or another, where we’ve brought on really great people. Now we’re starting to see that those great people which are all of you, are are taking the company as your own and starting to basically build out processes. I think we’re seeing multi teams starting to run without me or Robert involved, which for me is, makes me very happy, does not make me nervous at all.
16 00:04:07.280 ⇒ 00:04:15.167 Uttam Kumaran: I’m actually extremely happy because we get to go spend time on building. You know, the machine go going to get you guys more clients and
17 00:04:15.740 ⇒ 00:04:21.279 Uttam Kumaran: you know, getting more cash for the company. So I feel really really good overall.
18 00:04:23.870 ⇒ 00:04:33.029 Uttam Kumaran: again. I think this is something I think, about every week at the end of this week, the end of the week. I think we did a really really good job on
19 00:04:34.450 ⇒ 00:04:38.880 Uttam Kumaran: Item 2 this week. I think we did a lot of sort of big company stuff
20 00:04:39.444 ⇒ 00:04:51.305 Uttam Kumaran: in the best way. We did allocations with the team. We did. We are all we’re all on linear now. And I feel really really good compared to where we were, you know, just about a month ago.
21 00:04:52.780 ⇒ 00:05:13.829 Uttam Kumaran: so I wanted to spend maybe a little bit of time. And this is sort of collaborative. So if anyone else’s shout outs, Please go for it. But I kind of wanted to shout out a few people, one! I want to shout out everybody for sort of entertaining linear and giving it a good go. We are using linear across the entire company
22 00:05:13.970 ⇒ 00:05:27.410 Uttam Kumaran: like not just engineering but operations marketing AI team, internal AI team. So it’s not easy, I know, for folks that are haven’t been on an engineering team to sort of document. All your work.
23 00:05:27.770 ⇒ 00:05:48.360 Uttam Kumaran: But what that’s gonna help us do is basically one. Make sure that everybody, nobody is underwater but and also make sure that we can get everyone the right resources. And we’re we’re all working on the right thing, which I think has been a struggle for us as a company for everybody to wake up and say, I’m working on the right thing today. And the thing I’m working on is actually going towards a bigger goal.
24 00:05:48.570 ⇒ 00:05:50.149 Uttam Kumaran: So I guess I’ll shout out.
25 00:05:50.880 ⇒ 00:05:56.800 Uttam Kumaran: everybody there. Does anyone else have any shout outs this week?
26 00:06:04.510 ⇒ 00:06:07.230 Uttam Kumaran: This can be on your team. This can be cross team
27 00:06:07.230 ⇒ 00:06:19.130 Caio Velasco: I I do, have I? I thought that this week everything was well planned, and I can see a clear picture for the few for the future next week, and I think that’s on my end will be for Akash
28 00:06:19.570 ⇒ 00:06:20.930 Caio Velasco: and been quite helpful
29 00:06:21.910 ⇒ 00:06:28.409 Uttam Kumaran: Nice. That’s big coming from you. Kyle. Kyle is a high bar for organization, so I’m really glad to hear that
30 00:06:34.480 ⇒ 00:06:54.999 Amber Lin: I think, for me my AI team also did some data stuff this week. It was really impressive Casey and Miguel, State of sulfate to get that done and ship, and then the client was so happy that we did it so fast we might even have
31 00:06:55.000 ⇒ 00:07:11.680 Amber Lin: a further deal with them. So this is really for our team up to our team. And because Utam helped us with real dashboards as well. So we were really able to get that impact across and have the client be happy. So that’s a big that’s a big win for us.
32 00:07:16.050 ⇒ 00:07:16.870 Uttam Kumaran: Awesome.
33 00:07:19.130 ⇒ 00:07:20.419 Uttam Kumaran: Anyone else
34 00:07:25.990 ⇒ 00:07:28.450 Annie Yu: I also want to shout out to Akash.
35 00:07:28.962 ⇒ 00:07:44.130 Annie Yu: he’s definitely the one that makes my every morning like more organized. And I remember, like earlier today in this meeting, I think at 1 point he’s like, I’m just a Pm. And don’t say that because that’s such an important role
36 00:07:48.260 ⇒ 00:08:11.839 Aakash Tandel: Thank you. Yeah. I I have played individual contributor for a long time. So moving into the Pm kind of spaces is definitely new, but it’s been good. I wanted to give a shout out Robert. He’s still fielding a ton of questions from like the client on Javi and Eden and we’re trying to extract him. But it’s like the tendrils of those clients are just so
37 00:08:12.260 ⇒ 00:08:18.960 Aakash Tandel: in his in him that it’s it’s very difficult, so it’s still work in progress. But hopefully we’ll get there soon.
38 00:08:21.230 ⇒ 00:08:22.917 Uttam Kumaran: I agree, I think
39 00:08:23.540 ⇒ 00:08:26.550 Uttam Kumaran: What you’ll find is that you know, when we started the business
40 00:08:27.185 ⇒ 00:08:39.279 Uttam Kumaran: and you know me and Robert sort of started stuff separately. Most of our time was going to working on clients, and then we spend the majority of time on sales, and then sort of it kind of ebbs and flows. I think we had a big phase earlier this year, which is all client work.
41 00:08:39.280 ⇒ 00:08:57.169 Uttam Kumaran: Now we’re starting to do more sales and marketing. I’m pretty confident we’ll talk a little bit about goals for the next quarter, but we’re doing a lot of stuff that’s outbound, and this team should see a lot of that translate into new business. And I feel like we’ve built a really really amazing team of
42 00:08:57.170 ⇒ 00:09:13.290 Uttam Kumaran: of data folks operations marketing. Pm. That we can take on another 5 clients pretty seamlessly. That may seem like, Oh, my God, no way. But we have the structure to scale to that point. And I feel really, really confident in the screw to get us there.
43 00:09:14.840 ⇒ 00:09:32.950 Uttam Kumaran: so yeah, really, thanks. Thanks. Everyone for showing up every day. Sort of maybe I’ll just jump a little bit to to client health. So I think we’re everything is sort of turning into good again. I know when I 1st started presenting this, probably a month ago, we were in a lot of needs help.
44 00:09:33.599 ⇒ 00:09:43.039 Uttam Kumaran: I know pious sort of jokes about that. We, I would say, the only 2 clients that I’m still probably concerned about. But again I would say.
45 00:09:43.130 ⇒ 00:09:58.580 Uttam Kumaran: I am now seeing it from an outside lens. More is Eden and full parts. I would say. Probably the Pm’s y’all, that are closest would probably agree. I would say, for ABC for sack. Blitz
46 00:09:58.898 ⇒ 00:10:16.391 Uttam Kumaran: for urban stems. We’re we’re in a really good place. I think demalade is really crushing it on urban stems. I don’t know if he’s on this call right now, but he’s sort of owning. He’s owning this work. Really? Really? Well, we’re only contracted for 15 h. And they are like
47 00:10:17.160 ⇒ 00:10:24.469 Uttam Kumaran: if imagine if like, if you’re you’re on a plane, and there’s like no wings, no engine
48 00:10:24.912 ⇒ 00:10:36.699 Uttam Kumaran: and like their biggest day is mother’s Day in your business, and you’re about to crash like. That’s where this client is. They are a flower company, and they have, like one of the worst sort of data architectures
49 00:10:37.020 ⇒ 00:10:48.340 Uttam Kumaran: my current setup like I’ve ever seen. At the same time, they basically have, like nobody that knows that. So it’s very hard, me and demalade to go in and like work on anything
50 00:10:48.470 ⇒ 00:10:54.290 Uttam Kumaran: instead of working on like fixing fundamental issues. And so we are pretty much
51 00:10:54.420 ⇒ 00:11:05.250 Uttam Kumaran: trying to get them to this next milestone, which is mother’s day. But in addition trying to implement new architectures, it’s a very, very difficult problem. And he’s really, really doing a great job there.
52 00:11:06.000 ⇒ 00:11:08.475 Uttam Kumaran: I think on on Eden.
53 00:11:09.280 ⇒ 00:11:38.100 Uttam Kumaran: I think it’s like, certainly looking about from a month ago or 2 months ago. I feel like it’s better. It may not seem that way. The folks on the team this, this is a tough client, because in some ways I think they challenge us a lot emotionally. In addition to just the data work for a lot of our clients. It’s just the data that’s that’s thing. But of course, businesses are people, too, and so somewhat we have to deal with what is on their top of mind, and we are service business. So
54 00:11:38.350 ⇒ 00:11:49.890 Uttam Kumaran: you know we we come to serve. And our tool is data. So I do think that there’s challenges here that we’re getting through. However, I know we’ve spoken with the cost or spoken with Robert. I feel pretty good about
55 00:11:50.070 ⇒ 00:11:50.980 Uttam Kumaran: about
56 00:11:51.120 ⇒ 00:12:04.359 Uttam Kumaran: this moving forward. I feel like it’s getting better. I think it’s been really helpful to have the Pm’s. Now, because we were very in the weeds, not only developing pming and playing product owner. Now that we have several perspectives, it sort of gives me a lot of
57 00:12:04.510 ⇒ 00:12:28.270 Uttam Kumaran: comfort, and knowing that this is on the right path. In fact, I think what we’ll find is that we actually expand our relationship with them. Same with Javi. And that’s another piece I’ll mention is that these aren’t just clients, that they just continue. Our goal is to continue to take on more work. And I really believe we’re sitting on another 10 or 20% more revenue coming from just from these clients being able to take on more work for them. So
58 00:12:28.890 ⇒ 00:12:33.229 Uttam Kumaran: I feel pretty good. I mean again, I think our goal is having good across the board.
59 00:12:33.954 ⇒ 00:12:36.230 Uttam Kumaran: We did our best this week. I think
60 00:12:36.350 ⇒ 00:12:39.480 Uttam Kumaran: it’s not so. One of the things I think a lot about is.
61 00:12:39.710 ⇒ 00:12:48.609 Uttam Kumaran: Yes, we could spend a lot of time looking at the worst, but for the folks that are really doing well, how do we also give them an equal amount of attention? And I think ABC. Was a good
62 00:12:48.810 ⇒ 00:13:13.100 Uttam Kumaran: explanation here is that we were already doing really, really great work, and they’re actually considering moving more business our way. Had we had, I sort of considered. Okay, there, there’s going smooth. Let me not go in person yesterday and go say, Hi, we may not have gone that business right. And so I think it’s helpful to not only look at like the thing that’s on fire, but also look at the thing that’s like really bright, and say, like, How can we push this
63 00:13:13.260 ⇒ 00:13:20.050 Uttam Kumaran: fire? Any questions on any of these clients?
64 00:13:26.040 ⇒ 00:13:26.710 Uttam Kumaran: cool.
65 00:13:28.266 ⇒ 00:13:49.819 Uttam Kumaran: Yeah. I mean, I sort of did this. But I think I wanna open this up for anyone else like I I think we had a really like a bunch of you know, accomplishments. This week. I think we had a really really great cross team allocation meeting. This was between Operations project management, engineering and sales. Looking at what’s coming down the pipeline.
66 00:13:49.980 ⇒ 00:13:58.239 Uttam Kumaran: our current clients, and basically like allocating everybody. I think this is as org today is literally as organized as we’ve ever been in the company.
67 00:13:58.340 ⇒ 00:14:23.540 Uttam Kumaran: and Monday will be the next day. So we are getting more organized by the day, which is really really great, not by the week or the month, like, actually, by the day. And that’s the pace that we work at. And so I’m really, really proud of that. I think we’re using linear. And all of our stand ups, which is amazing. It’s a true sign of a great company for us to rely on tools, project management tools, not as like.
68 00:14:23.760 ⇒ 00:14:38.459 Uttam Kumaran: Oh, like, whatever the tool says says I’ll do, I won’t think outside the box, but we all have multiple to do lists. We’re all pretty organized people, and I think, relying on those help, we conducted our 1st cycles for operations, marketing and the AI team this week.
69 00:14:38.966 ⇒ 00:14:56.693 Uttam Kumaran: operations and marketing again. We were just sort of doing things on whim. And I think one of one of the things I want to think of that team is also opportunity to do planning and sort of set roadmaps and things like that. So I know the marketing team gave really good feedback, I know, for operations. We had good feedback as well.
70 00:14:57.010 ⇒ 00:15:19.722 Uttam Kumaran: so I’m really happy about that. I will also say, like my ability to spend time there has come from the Pm’s being able to take on stand ups. So I know that the operations and marketing team are happy because I can make some decisions that I know we were. We were lacking on before. We have 3 marketing events coming up. We have a webinar. In a few weeks we have an in person
71 00:15:20.400 ⇒ 00:15:21.210 Uttam Kumaran: like
72 00:15:21.400 ⇒ 00:15:33.919 Uttam Kumaran: some sort of event that I’m doing where I’m talking about something in a few weeks, and then we, me and Robert are presenting at a conference in 4 weeks for 3 or 4 weeks. So very, very excited for that.
73 00:15:34.538 ⇒ 00:15:47.419 Uttam Kumaran: Roughly, we should be spending about 60% of our time on events in consulting sales. And then another like 30% on basically like building partnerships, and another, probably 10% on cold.
74 00:15:47.500 ⇒ 00:16:05.790 Uttam Kumaran: just dming people. Right now it’s like flipped. We’re spending most of our time on like cold Dms, cold emails and a lot less time on events. The lovely thing is, we’re all of us are really, really amazing people, and we deserve to have a platform to speak and bring in business. And so ideally, my hope is that
75 00:16:06.090 ⇒ 00:16:17.210 Uttam Kumaran: me and Robert can sort of figure out how to build the engine for doing more events and then start to loop people in. I think it’s extremely helpful for not only your own personal growth, as like
76 00:16:17.310 ⇒ 00:16:41.079 Uttam Kumaran: a leader in your own right to speak and to get opportunities to speak, but of course, to represent Brainforge doing that like. It makes me really happy. I think each of us has a story and things that we can share with the ecosystem of people that that want to hear from us. And so we’re gonna make it easy for you to tap into those resources, to to build your own resume of of, you know, like webinars or events.
77 00:16:41.616 ⇒ 00:16:56.549 Uttam Kumaran: And I’m really, really excited, for I know a lot of people here have the capabilities of doing that. It’s definitely nerve wracking for some folks like it’s not easy to be doing engineering work all day and then go talk in front of an audience. But we will help everybody sort of bridge that gap.
78 00:16:56.998 ⇒ 00:17:21.170 Uttam Kumaran: And again, I think, for your personal resume, even beyond brain Forge. It’s really really helpful to have opportunities like that. Where you speak and you know you have, you get recognition. It’s really good for your personal network. So I wanna enable that if we can we send out 2 proposals again. Our goal is roughly like 3 or 4 proposals a week. So I’m really happy. We sent those 2 out.
79 00:17:21.560 ⇒ 00:17:28.020 Uttam Kumaran: We’re not getting like as much luck. But this is the way sales goes. Which is
80 00:17:28.270 ⇒ 00:17:48.560 Uttam Kumaran: why I think Robert is, is much better than me at doing this, because I get very invested in every single proposal. We this is a pure numbers game. So for us, we need to get clients to the proposal stage to to 2 proposals we sent out one. We are we’re talking to this company, called Whitaker.
81 00:17:49.864 ⇒ 00:17:50.870 Uttam Kumaran: Publishing.
82 00:17:51.110 ⇒ 00:17:55.239 Uttam Kumaran: They are a Christian publishing house.
83 00:17:55.796 ⇒ 00:18:11.953 Uttam Kumaran: They are. They have. They’re one of the biggest Christian publishing houses in the Us. Their problem is, they have a ton of skews and Erp systems. And they have really rough analytics. They’re seeing they’re interested in bringing us to come in. Do a basic audit and potentially do
84 00:18:12.530 ⇒ 00:18:18.111 Uttam Kumaran: some some more further development work. And then the other thing was this,
85 00:18:18.830 ⇒ 00:18:22.869 Uttam Kumaran: conservancy. I forgot what it was, but it was basically an animal.
86 00:18:24.280 ⇒ 00:18:25.480 Uttam Kumaran: Conservancy.
87 00:18:26.280 ⇒ 00:18:28.817 Uttam Kumaran: I really forgot what the name was.
88 00:18:30.610 ⇒ 00:18:32.401 Uttam Kumaran: I’ll have to find it. But
89 00:18:32.860 ⇒ 00:18:44.889 Uttam Kumaran: yeah, one of the there’s an they have an engineer that’s doing some data analysis on, like where animals are and being tracked. And they want to run some stuff in python in Snowflake. And they need some help.
90 00:18:45.610 ⇒ 00:19:06.559 Uttam Kumaran: So also, like pretty interesting client. So we’ll see again. Not a client yet, but we’ll see if they close. I think it’d be really cool. I find it kind of cool that we get to work with all these weird. It’s weird, but like sort of distributed companies like all over the place. That’s the benefit of data, though, like, these guys have the same problem that Eden and Javi have, which is ski management.
91 00:19:07.011 ⇒ 00:19:13.299 Uttam Kumaran: Right? Like. So it it’s what we’re learning is that there’s a lot of parallels across all these companies.
92 00:19:15.875 ⇒ 00:19:29.159 Uttam Kumaran: sorry. This is not what I need to open. Yes. And then the last piece is, yeah, we’re almost to the 6 to a point of successful renewal with ABC. Home, which is really really great. They love our product. This is the 1st
93 00:19:29.852 ⇒ 00:19:37.740 Uttam Kumaran: AI agent client we’ve ever had, and they are like we are crushing it for them. Not every client will be like this.
94 00:19:37.840 ⇒ 00:20:00.559 Uttam Kumaran: We’re kind of riding a high on the AI team. I feel like. However, my challenge is that we need to be doing way less work for them. If we’re doing this. Well, we’re spending way more time way, too much time. And so we’ll start some of the AI teams hours are gonna go towards internal automation and things like that. But I’m very excited for this. To complete. They’re a great partner. We are. Gonna go
95 00:20:00.870 ⇒ 00:20:18.620 Uttam Kumaran: sell the shit out of this to every other home service company in America. And so I’m very, very excited. This is going successfully. And then, yeah, I wanted to also shout out Andy and Amber who are both joining full time. Very, very excited to have them scaled up
96 00:20:18.750 ⇒ 00:20:28.829 Uttam Kumaran: and available across as many clients as as they’re they’re okay with amy is gonna be joining as her 1st full time brain force analyst
97 00:20:29.350 ⇒ 00:20:35.469 Uttam Kumaran: to date. We’ve sort of brought in people from externally but I’m very, very excited. We.
98 00:20:35.820 ⇒ 00:21:04.210 Uttam Kumaran: as I’ve always said, I want to build not only great client pause, but extremely great horizontal functions. Right? A great Pm function, a great analytics engineering function and a great analyst function. And it’s gonna be really awesome to start to work with her on. How do we build a great platform to support analysts? Not only the ones we have, and of course a lot of us are doing analysis work but like for all future analysts to come so probably more on that
99 00:21:04.490 ⇒ 00:21:11.140 Uttam Kumaran: soon any other accomplishments that we wanna shout out.
100 00:21:16.080 ⇒ 00:21:16.910 Uttam Kumaran: Cool?
101 00:21:18.900 ⇒ 00:21:34.640 Uttam Kumaran: yeah, I think there’s probably 2 challenges. I sort of called out one. I think linear. We’re using it. It’s a good accomplishment. I think it could be better. Of course we’re still missing some requirements, due dates, there’s like, Oh, my God! There’s way too many sub issues like
102 00:21:35.764 ⇒ 00:21:55.369 Uttam Kumaran: oh, I don’t like. There’s just like 100 tickets I’m looking at, but we’ll we’ll figure that out slowly. I think this is probably where Marion, Nico, you guys on the operations team can probably help how to use linear effectively. Like, how do you? When you wake up and go on there? How do you not feel overwhelmed? We’re figuring out to what’s a project, what’s an issue? What’s a sub issue?
103 00:21:55.470 ⇒ 00:21:57.700 Uttam Kumaran: All that nuance we’re figuring out.
104 00:21:57.940 ⇒ 00:22:22.560 Uttam Kumaran: So we’ll we’ll iron that out again if you find yourself with like a hundred tickets, there’s probably something wrong. So shout just like, shout that out to your Pm. And and ask if you can’t figure it out in linear. But I would definitely recommend turning off sub issues. You don’t if you don’t need to see it. It will sort of make everything a little bit easier to look at. The second piece is context switching. Yeah, I mean, this is like
105 00:22:22.690 ⇒ 00:22:38.869 Uttam Kumaran: story of my life, which is just like context switching a hundred times a day. You know, there’s a great study on context switching, which I may have. I may have shared but basically how like how rough it is? To
106 00:22:39.000 ⇒ 00:22:41.649 Uttam Kumaran: to do context switching and to sort of
107 00:22:43.530 ⇒ 00:22:50.849 Uttam Kumaran: to basically like, manage your work in a world where you have to context which multiple times I’ll send it here in the Zoom chat to take a look.
108 00:22:51.421 ⇒ 00:23:06.619 Uttam Kumaran: So I basically am very aware of this. In fact, like one of the things that I think is helpful to look at, which this article does a good job of is basically like visualizing what the problem is like
109 00:23:07.490 ⇒ 00:23:13.949 Uttam Kumaran: this is. This is sort of like what people assume versus what actually happens when you get interrupted.
110 00:23:14.407 ⇒ 00:23:20.229 Uttam Kumaran: And for all of our engineers you probably know this, but I think this tracks across every person which is like
111 00:23:20.390 ⇒ 00:23:34.689 Uttam Kumaran: you never get. This is like my day down here. So like this, I really feel that this is a struggle for a lot of our engineers, especially people who want to do really great deep work.
112 00:23:35.121 ⇒ 00:24:02.580 Uttam Kumaran: This is sort of like how it can feel where you have 30 min in your meeting at 30 min, and you have a meeting. So one of the things is like. And this may seem this may seem kind of like juvenile. But I want to help people. I’m like a big. I’ve tried everything in sort of like productivity hacks like time management stuff. I know a lot of people here are interested in that subject as well. One thing I can really recommend is to try to block off at least 2 to 4 h in your day for deep work.
113 00:24:02.610 ⇒ 00:24:14.980 Uttam Kumaran: work will come up, but feel free to mute, slack, or whatever there will be. Everything may seem urgent, but of course, as you know, probably like only one or 2 of those are even those
114 00:24:15.510 ⇒ 00:24:35.610 Uttam Kumaran: you may not have needed to take on. So really try to carve out 2 to 4 h in your day, most likely an afternoon to get some of this deep work done. You’re gonna find this is a very hard place to work for this problem alone. I know, because I deal with this every day. And so it’s really really important to sort of guard your time.
115 00:24:36.020 ⇒ 00:24:47.660 Uttam Kumaran: Additionally, we try to do a lot of our meetings in the morning, which sort of is people are highest energy. They get a sense of what I did yesterday. What I did today. I’m gonna always be a stickler for like trying to do that.
116 00:24:47.740 ⇒ 00:25:12.004 Uttam Kumaran: I especially want to defend the engineers and people who are doing deep work. It’s incredibly hard to do some of the stuff we need to do if we’re in meetings every 30 min. And like, I don’t want to. This is what happens to a lot of companies. They never talk about out loud, but if you’re in meetings every 30 min it’ll be impossible for us to get some of our work done. So take a look at take a look at this. I mean again. They? I think they
117 00:25:12.350 ⇒ 00:25:15.389 Uttam Kumaran: a lot of people they say, have this focus time things like that.
118 00:25:15.930 ⇒ 00:25:35.570 Uttam Kumaran: Everybody. It’s your job to guard your time and implement one of these strategies that’s in here. And please like, take it seriously. Even if you don’t work in engineering like, if you have like, 5 or 10 tasks. Everybody knows that like getting stuff done, being able to throw on a lo-fi, mix and do like 4 h of hardcore work like
119 00:25:35.750 ⇒ 00:25:42.087 Uttam Kumaran: you could really get a lot of stuff done. Trust me. So just like, keep that in mind.
120 00:25:42.690 ⇒ 00:25:49.686 Uttam Kumaran: any other challenges like that? We wanted to talk through
121 00:25:51.890 ⇒ 00:25:57.270 Uttam Kumaran: like we could do a more formal retro. But please, like anyone else, have anything. Yeah, go ahead, Akash.
122 00:25:57.270 ⇒ 00:26:15.889 Aakash Tandel: Yeah, I was gonna add for a lot of our clients. Well, for the ones I’m working on. We’re taking on a lot of scope and that’s probably not the way to the clients sending a lot of things our way. We’re kind of working on it, and all all in parallel. I think we are gonna slowly get better at.
123 00:26:16.070 ⇒ 00:26:29.179 Aakash Tandel: you know, picking our scope and doing it in an order that makes sense just so that we are being fully compensated for the work. And we’re not going over budget. And then, you know, tanking our rates and stuff
124 00:26:30.510 ⇒ 00:26:31.570 Uttam Kumaran: Totally agree.
125 00:26:32.480 ⇒ 00:27:01.429 Uttam Kumaran: This is where, again, Pm’s job is to do the triage. So clients are gonna love us, we do great work. They’re gonna keep asking us for more. This is what happens in a company when you come in and you solve problems, problems like become magnetic towards you. Right? Everyone will say like, Oh, my God! Finally, someone that can actually get something done around here, cool. But what happens? That person then starts to fail because they say yes to everything. We’re in a very similar boat. However, the 1st line of defense is the Pm. Team.
126 00:27:01.570 ⇒ 00:27:03.349 Uttam Kumaran: It’s it’s a yes.
127 00:27:03.530 ⇒ 00:27:23.939 Uttam Kumaran: but we’ll do it on what? Whatever time zone, right? So we’re never gonna say we’re not taking that on. It’s always going to be like, yeah, we’ll take it on. But it’ll be in 2 cycles, or it’ll be like, Oh, we’ve already done this work right. So as an engineering team feel free to loop in your Pm’s anytime you get a direct request like that. If it’s a 1, if it takes 15 seconds to answer answer it.
128 00:27:24.240 ⇒ 00:27:48.859 Uttam Kumaran: But if it’s a larger thing. Don’t feel pressured to to answer it right then and there, loop in a Pm. And make sure that they’re aware. I think, the the second piece is, this is actually a good problem. If people are asking us more, we will turn that into more revenue. And so this is a good problem to have. I think the bad problem is if we say yes and we do it immediately. This is where linear and backlog and things will will come into play.
129 00:27:54.070 ⇒ 00:27:59.970 Uttam Kumaran: Any other issues or challenges could be personal. It could be like as a team could be anything.
130 00:28:00.700 ⇒ 00:28:04.469 Uttam Kumaran: If you’re if you’re feeling it, probably someone else is feeling it, too.
131 00:28:09.100 ⇒ 00:28:22.679 Uttam Kumaran: I know we’re on like a new stand up. I know there’s a lot of meeting changes. We have time zone issues. I think we’re doing a better job now, like we have clear standups for everything. We’re gonna start doing, planning retro. It’s getting better
132 00:28:22.870 ⇒ 00:28:26.570 Uttam Kumaran: again. Just ask question out loud. If you have any concerns there.
133 00:28:26.690 ⇒ 00:28:31.750 Uttam Kumaran: It’s a lot of meetings to organize, and we don’t have many, you know, people doing those. So
134 00:28:31.880 ⇒ 00:28:33.480 Uttam Kumaran: have a little bit of grace. But
135 00:28:34.010 ⇒ 00:28:41.310 Uttam Kumaran: again, we’re trying to put everything in the morning as much as possible, to get everybody worldwide on, on, to stand ups and things like that.
136 00:28:41.897 ⇒ 00:28:47.520 Uttam Kumaran: Cool in terms of like Q, 2 goals. And we’re working on this. I know we’re probably not gonna have okrs
137 00:28:47.700 ⇒ 00:28:50.019 Uttam Kumaran: set by the start of the quarter, but
138 00:28:50.310 ⇒ 00:28:53.188 Uttam Kumaran: it is what it is next quarter.
139 00:28:53.890 ⇒ 00:28:59.839 Uttam Kumaran: couple of things. One. We want to. Right size, allocation, and margin. We want to make sure we’re making money on this, and we can start to
140 00:28:59.850 ⇒ 00:29:24.809 Uttam Kumaran: fill up the bank account for the company. So that we have 6 months of cash runway. And we feel confident that we can sustain the business. That’s my number. One goal. Second thing is bringing on more clients. I would. I would add, I would make this 50 if I could go. 5 is reasonable. 60% of marketing efforts towards events. 80% of client engineering time is billable. This is a really great thing. Maybe I can talk to everyone.
141 00:29:25.231 ⇒ 00:29:35.199 Uttam Kumaran: ultimately, for our folks on data. A consulting business is one big optimization problem. You have hours on one side, you have problems on another side. And you basically try to match.
142 00:29:35.650 ⇒ 00:29:38.830 Uttam Kumaran: But however, we are all humans, this is not a.
143 00:29:38.960 ⇒ 00:29:47.720 Uttam Kumaran: And I don’t want to run this like an optimization problem. But there is part of this that is making sure the right people are in the right position to execute on the right work.
144 00:29:47.970 ⇒ 00:29:54.879 Uttam Kumaran: A a rule of thumb for us is that 80% of our client engineering time is billable, meaning, 20% goes to
145 00:29:55.010 ⇒ 00:29:58.360 Uttam Kumaran: lunch in these types of meetings, whatever.
146 00:29:58.621 ⇒ 00:30:04.909 Uttam Kumaran: And so this is what we’re gonna be going towards is that 80% of anyone who’s working on clients. 80% of your available time
147 00:30:04.920 ⇒ 00:30:31.820 Uttam Kumaran: per week goes towards working for clients. This is pretty standard across the board. So not gonna reinvent the wheel here the last piece is, we’ll be working on pairing people with coaches more. I know. I think it’s been beneficial for Kyle and Luke. Maybe if you guys want to spend a moment if you’re comfortable, I think. You know we have a good friend who I mentioned he was on a meeting a few weeks ago. Michael Weinberg.
148 00:30:32.156 ⇒ 00:30:55.280 Uttam Kumaran: Who’s a really great mentor of mine and and a senior you know, senior data architect, whatever, like the highest role in data, you can consider someone. And I think he’s been really, really pivotal. And I I wanted him to come in and sort of act as a coach for some of our for as many people as he can to sort of talk through issues, and how to improve as a, as a, as an engineer on the company. I guess. Like, if you guys
149 00:30:55.510 ⇒ 00:31:06.069 Uttam Kumaran: are okay with it, Kyle or Luke like, did you guys find it beneficial? Any like broad feedback? We don’t have to get into specifics. But any broad feedback on
150 00:31:06.200 ⇒ 00:31:10.809 Uttam Kumaran: like on the program. I know it’s only been going like a week or 2
151 00:31:13.750 ⇒ 00:31:16.459 Luke Daque: Yeah. Well, it was, yeah, yeah, go ahead. Go ahead.
152 00:31:20.080 ⇒ 00:31:20.660 Uttam Kumaran: No, I live.
153 00:31:20.660 ⇒ 00:31:29.680 Luke Daque: Yeah, so so, yeah, it was pretty beneficial. It’s pretty great to have somebody senior or like, have more experience in terms of like.
154 00:31:30.420 ⇒ 00:31:35.440 Luke Daque: like in my perspective data, for example. And like, he’s already
155 00:31:35.903 ⇒ 00:31:41.569 Luke Daque: experience the same problems that I’m I’ve already experienced. And he can share, like what? How? He
156 00:31:42.180 ⇒ 00:31:46.680 Luke Daque: essentially like, solve those kind of issues and stuff like that. So basically, like.
157 00:31:47.010 ⇒ 00:31:52.870 Luke Daque: yeah, it’s, it’s it’s very helpful. To have someone you know, be a mentor.
158 00:31:53.960 ⇒ 00:32:09.870 Luke Daque: yeah, in that regard. So yeah, it looks like it’s pretty good so far. And we’ve all already connected like once in meet in meet once, and but then we’re still continuing to to chat in slack as well. So yeah, it’s pretty cool for me
159 00:32:12.690 ⇒ 00:32:21.929 Caio Velasco: Yeah, for me has been quite helpful as well. we briefly talked last week, but then we have been also talking on slack.
160 00:32:23.510 ⇒ 00:32:30.040 Caio Velasco: I think some of the thing that I mentioned. He also went through it before, and especially because
161 00:32:30.630 ⇒ 00:32:36.939 Caio Velasco: we are we, as I as I understood both him and I. We are interested also in
162 00:32:37.350 ⇒ 00:32:41.770 Caio Velasco: and trying to deliver, not the perfect thing.
163 00:32:42.020 ⇒ 00:32:45.399 Caio Velasco: but you know the best you can, and then you can, you know, allow
164 00:32:45.875 ⇒ 00:33:00.820 Caio Velasco: with time, you can kind of like lose time, let’s say, depending on on your goal in this optimization just mentioned. So yeah, so there’s a trade off that is always interested. I’m always interested to like learning more, and I think he has been quite helpful. There
165 00:33:01.120 ⇒ 00:33:03.946 Uttam Kumaran: Really great. It makes me really happy, I think.
166 00:33:04.580 ⇒ 00:33:07.139 Uttam Kumaran: you know, this is something that I certainly
167 00:33:07.520 ⇒ 00:33:19.530 Uttam Kumaran: could have benefited from at past companies. And in fact, Mike, I I worked with Mike in my 1st job is when I met Mike and he was this person to me. And I feel really
168 00:33:19.830 ⇒ 00:33:29.429 Uttam Kumaran: happy that I get to give this opportunity to others. But ultimately all of us are I. If we’re considering this a sports team. We’re all players on the sports team.
169 00:33:29.430 ⇒ 00:33:53.060 Uttam Kumaran: and I may be like the GM. But everybody is coach. Everyone is trainers, and we’re all trying to build each other up. So whether it’s another player on the team, right? I know we have some senior, some junior folks here, whether it’s me whether it’s someone. Externally, I’m gonna find to try to find a way to give you at least one other person that you can start to bounce ideas off of. I think. Of course, you can come. Talk to me or Robert.
170 00:33:53.060 ⇒ 00:34:14.950 Uttam Kumaran: but we’re sort of conflicted like, and I know that it can sometimes it may not. You may not feel most comfortable. That’s okay. I will do my best to make it as comfortable as possible. But I want to give you guys some more people that you can who have a different perspective. And you know I may be able to say things in ways that we can’t translate or we can’t spend the time with. So it’s really, really makes me happy
171 00:34:14.949 ⇒ 00:34:35.320 Uttam Kumaran: to hear that we all are people. So I don’t. This is where I don’t look at every engineering hour the same. We all have different strengths and weaknesses. Some people are visual. Some people are need text. Some people like to talk. Some people don’t want to talk or don’t want to be camera like it. That’s that’s just human nature. And so we want to try to accommodate for everything within reason.
172 00:34:35.330 ⇒ 00:35:01.810 Uttam Kumaran: But I do think that this coaching program, I think, can be effective not only for engineering, but we have great people that want our business succeed to succeed that are in project, management, engineering, leadership, operations, leadership. And, as you can tell, I sort of call whoever I can throw them to slack and say, Hey, can you just meet with our folks? And they’re more than happy to. So we’ll be meeting on the marketing team. We’ll be meeting with a close friend of mine, Ivana. She runs a design agency.
173 00:35:01.810 ⇒ 00:35:23.810 Uttam Kumaran: She’ll be coaching us a little bit on all of our design assets next Friday. We’ve been talking to Vishnu from Vixel about operations. So everybody’s gonna sort of try and get some of this stuff that even for me, there’s things I don’t know about how to take this business to the next level. I ask. I just go. I called 10 people, and I said, like, what should I do here? And I want to make sure that everybody has that
174 00:35:24.347 ⇒ 00:35:28.609 Uttam Kumaran: the last piece is complete analytics across operations, finance and engineering.
175 00:35:28.790 ⇒ 00:35:39.212 Uttam Kumaran: This is such a fun project for me, because we are a data company. And we have a lot of data. We have data from linear, from Github, from slack, from zoom, from quickbooks
176 00:35:39.730 ⇒ 00:35:57.829 Uttam Kumaran: like. We have so much stuff that we want to measure. Are we making money? How? Where is our time being spent. And this is gonna be a really fun project. I think. Probably, Annie, this will be like me, and you probably like 5 or 10 HA week spending time here, which is more about just like, how do we measure our own business?
177 00:35:58.412 ⇒ 00:36:23.680 Uttam Kumaran: And then how do we start to run our meetings. How do we start to run us as a data driven business? I’m very, very excited. I think all of us will get a chance to collaborate here. It’s really this, this is really fun to me, because we get to use the best tools and do the things the fastest for us. Of course, the problem here is like this isn’t like very revenue. This isn’t directly revenue generating. So this will be kind of a side quest that we we take on, but very excited here.
178 00:36:24.213 ⇒ 00:36:28.050 Uttam Kumaran: Any other anything else we should cover here. Of course
179 00:36:28.470 ⇒ 00:36:35.859 Uttam Kumaran: I have all the process things we talked about last week. The policies, healthcare, all that is is in here. But
180 00:36:36.050 ⇒ 00:36:40.079 Uttam Kumaran: any other goals anyone else wants to add.
181 00:36:40.230 ⇒ 00:36:45.650 Uttam Kumaran: and we’ll hopefully try to start doing more end up with the Okr. Sometimes in next. In the next few weeks.
182 00:36:49.940 ⇒ 00:36:50.840 Uttam Kumaran: Cool.
183 00:36:51.170 ⇒ 00:36:54.932 Uttam Kumaran: I think I wanted to demo 2 things today.
184 00:36:56.380 ⇒ 00:37:00.250 Uttam Kumaran: and I think I we usually demo a lot of the marketing stuff. I think I’ll probably spare
185 00:37:00.370 ⇒ 00:37:17.939 Uttam Kumaran: Hannah and and and today, and and probably push that to next week. But 1st I wanted to just give a shout out to the ABC. Team. I don’t know, Casey, do you? Wanna if you’re on, do you? Wanna just give a little brief on what the team is looking at here.
186 00:37:18.458 ⇒ 00:37:21.739 Uttam Kumaran: And just talk a little bit about. Why, this is important.
187 00:37:23.350 ⇒ 00:37:24.800 Casie Aviles: Hey? Yeah, sure. Sure.
188 00:37:27.770 ⇒ 00:37:31.020 Casie Aviles: Alright, do you? I can share the dashboard we have right now.
189 00:37:31.020 ⇒ 00:37:33.740 Uttam Kumaran: Yeah, maybe we’ve just from here. Let’s just share this so that it’s
190 00:37:33.950 ⇒ 00:37:41.090 Casie Aviles: Oh, okay, yeah, I mean, so basically, this is a crucial part. Since this is what
191 00:37:41.669 ⇒ 00:37:44.380 Casie Aviles: we’ll be using to kind of evaluate the
192 00:37:44.900 ⇒ 00:37:51.880 Casie Aviles: performance of the AI and yeah, like before we, we didn’t really have a way to do that. That.
193 00:37:52.300 ⇒ 00:38:05.649 Casie Aviles: Okay? So it’s it’s mainly vibes based? Right? Like, we just say, Okay, this output looks fine. This output looks good. But like, how do we really measure that? So that’s why this is this dashboard has been very crucial, and
194 00:38:05.910 ⇒ 00:38:13.380 Casie Aviles: I believe that this will also be. We’ll be. We’ll start using this to kind of measure as well the business.
195 00:38:13.790 ⇒ 00:38:16.080 Casie Aviles: I guess the business impact. So
196 00:38:17.692 ⇒ 00:38:24.789 Casie Aviles: yeah. So basically, that’s it. So we have our error rates. And you know the quality score. So we’ve leveraged the Evals.
197 00:38:25.090 ⇒ 00:38:30.395 Casie Aviles: the Aie bus we have for that and then we also
198 00:38:31.370 ⇒ 00:38:38.509 Casie Aviles: collect feedback data from the Csrs who will be using this, and we also have it on the dashboard.
199 00:38:39.040 ⇒ 00:38:44.650 Casie Aviles: But yeah, and basically, we want to. Know when
200 00:38:45.260 ⇒ 00:38:53.459 Casie Aviles: we could see here that if the AI is not doing well, then, we could you know, act accordingly. But yeah, I guess that’s overall
201 00:38:54.290 ⇒ 00:38:55.790 Casie Aviles: idea. Behind this
202 00:38:58.490 ⇒ 00:39:02.369 Uttam Kumaran: Great any questions here.
203 00:39:05.270 ⇒ 00:39:11.019 Uttam Kumaran: Yeah, this is a really great project, because we’re doing AI work. But then, now, we’re also doing data work
204 00:39:11.180 ⇒ 00:39:30.780 Uttam Kumaran: right. Everything. Everything ends up being something that needs to be measured. And so part of the thesis, on doing AI at all as part in part of Brainforge is that logically, if you build AI agents, you’ll need to measure them as we get our data right, you’ll need to activate them with AI. So this is our 1st project we’ve done where
205 00:39:30.960 ⇒ 00:39:36.529 Uttam Kumaran: we we’re seeing both sides of the business come together, which is really happy like.
206 00:39:36.970 ⇒ 00:40:01.589 Uttam Kumaran: I can’t be happier about the fact that we get to do data for them, and we’re seeing positive results. I know for a lot of folks you may not be able to directly see what the AI work we’re doing. I think we’ll work to make that a little bit more clear. But I think hopefully, in the next few weeks, too. You’ll start to see a lot more AI stuff happen in the Channel, and we’ll be getting people involved from data and operations and setting the AI roadmap for us internally. So
207 00:40:01.710 ⇒ 00:40:25.049 Uttam Kumaran: really, really great here. The last piece I don’t know is Ryan on? Yeah. So I just wanted to shout out, Ryan, we ryan does a lot of work in the background. On SEO on content. He’s running. He runs our Linkedin. He now basically runs my Linkedin, which is great because I’m very shy, and he does a great job at
208 00:40:25.310 ⇒ 00:40:27.349 Uttam Kumaran: driving us traffic.
209 00:40:27.430 ⇒ 00:40:56.049 Uttam Kumaran: One of the things that we both took a bet on. And really this was us. Collaborating with Ryan on the execution is that we wanted to have a really rich blog that could drive SEO traffic to the site by blog. If you go to Brainforgeai you’ll see our blog here, and we do a lot of this. We were writing a lot of these ourselves. Additionally, now, we use AI to write a lot of these. But Ryan’s directive is to drive traffic
210 00:40:56.070 ⇒ 00:41:06.049 Uttam Kumaran: to the website, and of course, drive. What we call Mql. Marketing qualified leads. Basically, someone comes to the site. They didn’t go hit chat with us. They didn’t book a meeting.
211 00:41:06.534 ⇒ 00:41:31.030 Uttam Kumaran: That’s a marketing qualified lead. And so the marketing team’s directive is to drive traffic and then have those traffic convert. You can’t have anything to convert. If there’s no traffic. The number one job is to to get more eyeballs on us, whether that’s on Linkedin or here. And so one of the things that we he’s done very, very systematically is basically dissect how Google search works and how we can start ranking across several topics.
212 00:41:31.030 ⇒ 00:41:38.591 Uttam Kumaran: So when someone searches data, mesh versus data fabric we pop up in Google. And so one of the things that you’ll see
213 00:41:39.070 ⇒ 00:41:47.089 Uttam Kumaran: in this in the slide is you’re seeing that all of our top pages are actually resources that he’s built or blogs that he’s built.
214 00:41:47.449 ⇒ 00:42:13.090 Uttam Kumaran: Which one of the things that’s really surprising and maybe not so surprising is if we build a website, people aren’t going to go there. They don’t know what we do. People aren’t waking up and being like brain forge. Yeah, they go to Google, or they go to Facebook, right? So we need to drive traffic towards us. And he’s really done a good job over. And this has been a 6 to 8 month initiative where we’ve created all these resources. And we’re seeing Google pick it up. And we’re able to drive
215 00:42:13.220 ⇒ 00:42:39.800 Uttam Kumaran: traffic towards the site. This is all traffic that would have not come to Brainforge AI had it not been for these resources. Of course, what our hope is is that the people searching these are also people interested in data and AI services. Right? But we can’t do anything without getting traffic. First.st If you’re interested in this data we have, we have access to our post. Hoc, I’m happy to give anyone here access to that. You can go click around
216 00:42:40.000 ⇒ 00:42:46.271 Uttam Kumaran: again. This is being gonna be part of our data initiative to measure our own product analytics funnel
217 00:42:46.760 ⇒ 00:43:04.820 Uttam Kumaran: But I’m really really proud of the work that he’s done here. Additionally, if you click into any of these articles, you’ll actually see that they’re very well organized, and they have several sections. Again, we’re optimizing a lot for this to get ranked, and for people to come in here and drive traffic. The last piece I’ll I’ll tell you, is that
218 00:43:05.391 ⇒ 00:43:07.920 Uttam Kumaran: this is completely done via AI.
219 00:43:08.140 ⇒ 00:43:13.760 Uttam Kumaran: We are using chat gpt deep research. O, 3. I I don’t know if we’re using the
220 00:43:13.870 ⇒ 00:43:17.480 Uttam Kumaran: the $200 version or not, but
221 00:43:17.810 ⇒ 00:43:21.849 Uttam Kumaran: we have. We have done what would take probably a 3 or 4 person
222 00:43:21.990 ⇒ 00:43:26.899 Uttam Kumaran: SEO content focus team. And Ryan is, did it all within
223 00:43:26.960 ⇒ 00:43:33.909 Uttam Kumaran: just his 8 h per day. I’m telling you like this. This sort of stuff does not happen without a full team.
224 00:43:33.970 ⇒ 00:43:57.620 Uttam Kumaran: Me and Ryan like I I haven’t done anything. I’ve really just set the stage for this to happen. So this is a great example of us using AI to do something that we would have had to pay 3 or 4 additional people to do, and we’ve done in 6 months. We are like the other really core way of knowing. If we’re winning here is there’s this thing called search console basically shows us like how we’re doing on Google search.
225 00:43:57.921 ⇒ 00:44:19.039 Uttam Kumaran: I look at this, you know, every few weeks or so. And what we’re seeing is that we’re starting to people are starting to view our pages on Google, right? This is the impressions meaning 138,000 impressions. And of course, as impressions go up, as our links get better. As the metadata gets better, people are compelled to click. And so we’re starting to see people come to the site.
226 00:44:19.230 ⇒ 00:44:21.500 Uttam Kumaran: This we have not spent a cent
227 00:44:21.640 ⇒ 00:44:28.979 Uttam Kumaran: on paid advertising of this company. This is all organic search traffic. Which is incredible.
228 00:44:29.150 ⇒ 00:44:37.389 Uttam Kumaran: I’ve said this to some people in marketing who are like they’re paying tons and tons of money to get stuff like this, and we’ve done it purely with
229 00:44:37.930 ⇒ 00:44:44.170 Uttam Kumaran: Ryan, me and AI and of course Heleem on the website side, and
230 00:44:44.330 ⇒ 00:44:47.039 Uttam Kumaran: and Ann and Hannah on the website side. But
231 00:44:47.170 ⇒ 00:44:53.670 Uttam Kumaran: I just wanna really do a big shout out there. This is not something we highlight every week. But it’s it’s been really tremendous to see
232 00:44:57.310 ⇒ 00:44:58.210 Uttam Kumaran: cool.
233 00:45:01.040 ⇒ 00:45:20.179 Uttam Kumaran: that’s all I had in terms of Demos this week, I think next week we will demo some more marketing pieces. I think I would also love for the data team to consider a few demos, whether that’s data models, whether that’s our slack alerting whether that’s new dashboards. I think we can plan for something next week.
234 00:45:21.180 ⇒ 00:45:28.140 Uttam Kumaran: I don’t know what the Pm team can. Demo. Maybe like a hot new sub issue flow or something like that?
235 00:45:28.779 ⇒ 00:45:32.649 Uttam Kumaran: But yeah, y’all can think about something to demo.
236 00:45:33.280 ⇒ 00:45:36.349 Uttam Kumaran: But yeah, really, really great week. Anything else I can.
237 00:45:38.360 ⇒ 00:45:40.440 Uttam Kumaran: I can answer any other questions.
238 00:45:47.530 ⇒ 00:45:49.914 Uttam Kumaran: Cool. Okay. Quiet day.
239 00:45:50.910 ⇒ 00:46:00.979 Uttam Kumaran: please slack me. If you have anything else you have any questions. That you wanna ask about anything here that I sent. Please let me know. I’ll send that context switching link to slack.
240 00:46:01.120 ⇒ 00:46:04.600 Uttam Kumaran: Give it a read, and then block your time on your calendar.
241 00:46:06.520 ⇒ 00:46:11.069 Uttam Kumaran: And yeah. Otherwise have a really good weekend and chat and slack
242 00:46:12.620 ⇒ 00:46:14.710 Aakash Tandel: Thanks for them. Thanks.
243 00:46:14.710 ⇒ 00:46:15.480 Mariane Cequina: Okay.
244 00:46:15.910 ⇒ 00:46:16.540 Uttam Kumaran: Bye, thanks.
245 00:46:16.540 ⇒ 00:46:17.189 Miguel de Veyra: Thanks. Everyone.
246 00:46:17.190 ⇒ 00:46:17.850 Mariane Cequina: Bye-bye.