2024-05-27_uttam_jakob_dfb0fb69

Meeting Title: Uttam <> Jakob Date: 2024-05-27 Meeting participants: Uttam Kumaran, Jakob Kagel

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WEBVTT

1 00:02:43.570 ⇒ 00:02:45.418 Jakob Kagel: Yo! How’s it going? Can you hear me?

2 00:02:45.650 ⇒ 00:02:47.170 Uttam Kumaran: Dude. Yeah.

3 00:02:47.520 ⇒ 00:02:49.350 Jakob Kagel: How’s your trip? How was your trip?

4 00:02:50.090 ⇒ 00:02:54.979 Uttam Kumaran: That’s good. Dude wedding was really really nice. The Dj. Was really good.

5 00:02:55.350 ⇒ 00:02:56.540 Jakob Kagel: Yeah, you know.

6 00:02:56.540 ⇒ 00:02:58.300 Uttam Kumaran: Usually like not the case.

7 00:02:58.430 ⇒ 00:03:02.269 Jakob Kagel: I feel like a lot of wedding Djs are are kinda I don’t know. They’re not always.

8 00:03:02.270 ⇒ 00:03:21.290 Uttam Kumaran: No, my friend like listen to like a good me and him like we’re we’re really good friends, because we just talk a lot about rap music. So I knew it was gonna be like good music. Like, that’s how we became really, really good friends. And like, I don’t talk to him a lot these days. But we pretty much only talk like our chat is only about like rap B, for rap

9 00:03:21.581 ⇒ 00:03:33.150 Uttam Kumaran: comes out. So I knew the music was. Gonna be good cause he told me he’s like dude. I have like a do not play list like they can’t play like half this half bunch of shit, so I don’t be really good

10 00:03:33.525 ⇒ 00:03:40.620 Uttam Kumaran: and then there’s just a outside of Philly for my sister’s graduation for the last 2 days, and I got home like last night.

11 00:03:42.750 ⇒ 00:03:46.189 Uttam Kumaran: yeah, something to do. Basketball has been sick. I watched the game

12 00:03:46.200 ⇒ 00:03:57.061 Uttam Kumaran: coming back home, and I was on the play with my girlfriend. I was like yelling. She’s like you need to chill, and I was like, Are you fucking, Kennedy? There’s seasons on the line right now.

13 00:03:57.340 ⇒ 00:04:00.240 Jakob Kagel: Yeah, but I mean, it looks like both.

14 00:04:00.240 ⇒ 00:04:01.019 Uttam Kumaran: So, okay.

15 00:04:01.294 ⇒ 00:04:02.940 Jakob Kagel: About to be over. Yeah. So.

16 00:04:02.940 ⇒ 00:04:09.180 Uttam Kumaran: No, that’s what I mean. I was like for well, for yeah, for Minnesota. This is like the most crucial like

17 00:04:09.330 ⇒ 00:04:12.369 Uttam Kumaran: 2 min. And then for Dallas, I was like.

18 00:04:12.680 ⇒ 00:04:15.239 Uttam Kumaran: this is going to get them to do the finals. Basically.

19 00:04:15.240 ⇒ 00:04:16.360 Jakob Kagel: Yeah, it’s kind of crazy for.

20 00:04:16.360 ⇒ 00:04:17.480 Uttam Kumaran: That last stretch.

21 00:04:17.480 ⇒ 00:04:21.980 Jakob Kagel: I don’t think anybody really had Dallas going to the finals, I mean, like, you know, I mean, they’re like.

22 00:04:21.980 ⇒ 00:04:28.470 Uttam Kumaran: I just think like Kyry and I think Luca people didn’t think he was gonna be able to do it on his own.

23 00:04:28.760 ⇒ 00:04:33.900 Uttam Kumaran: But a lot of chips just fell in their way like running the 2 centers.

24 00:04:34.030 ⇒ 00:04:39.500 Uttam Kumaran: and Kyrie is really Rockin, and Luca and Kyrie are playing just solo like

25 00:04:39.620 ⇒ 00:04:41.719 Uttam Kumaran: one of them hits it. One of them hits it.

26 00:04:41.750 ⇒ 00:04:48.179 Uttam Kumaran: 2 other people go. One of them hits it. One of it’s it’s like. And then they just keep going, and they’re his shooting like lights out.

27 00:04:48.360 ⇒ 00:05:12.831 Jakob Kagel: I mean the thing with. I felt like the thing with Luca before, like they had. Kyrie was like he would just get so fatigued from like handling the ball. So much cause a lot of teams. Try and do this where they have, like one great player or something, and they’ll basically put the ball in that. Players hands like every possession. But it’s like dude that is so fucking, tiring, like mentally, physically, because, like, you know, you’re all. They’re all defending you, you know.

28 00:05:13.110 ⇒ 00:05:14.630 Uttam Kumaran: Doubling you like have to get.

29 00:05:14.630 ⇒ 00:05:31.410 Jakob Kagel: Right? And it’s like, Yeah, you get so like worn down by that. But it’s like, when you have 2 like a backcourt like that where it’s like 2 exceptional scoring players, exceptional offensive players. It’s like, yeah, as long as they’re like can work together. Then it’s like it makes it a lot. But yeah.

30 00:05:31.410 ⇒ 00:05:45.440 Uttam Kumaran: Lucas not usually going to the layup right, Lucas usually shooting, and then Kyrie is able to kind of like mix up and dude that that they made a big mistake by just not doubling. Cut, Luca. Every play they’ve at least lost like 10 points at the end.

31 00:05:45.480 ⇒ 00:05:47.500 Uttam Kumaran: just cause they didn’t like

32 00:05:47.720 ⇒ 00:05:50.149 Uttam Kumaran: throw everything at that guy like.

33 00:05:50.150 ⇒ 00:05:57.680 Jakob Kagel: Right? Right? Yeah. I mean, I don’t know. I’m I’m pretty impressed. I mean, I didn’t think that. Yeah, I I didn’t think it was gonna work, as well, you know.

34 00:05:57.680 ⇒ 00:06:02.070 Uttam Kumaran: It’s just crazy that like they’re gonna sweep the team that beat the nuggets.

35 00:06:02.070 ⇒ 00:06:03.000 Jakob Kagel: Right.

36 00:06:03.390 ⇒ 00:06:04.749 Uttam Kumaran: Which is kind of nuts.

37 00:06:04.750 ⇒ 00:06:08.731 Jakob Kagel: But Dallas final is good, I mean, I feel like the match ups are good.

38 00:06:08.980 ⇒ 00:06:10.230 Uttam Kumaran: That’s a good final. Yeah.

39 00:06:10.230 ⇒ 00:06:15.149 Jakob Kagel: Yeah. And that one. I don’t think I think that one will be like at least 6 games or something.

40 00:06:15.620 ⇒ 00:06:18.799 Uttam Kumaran: I would really hope Celtics did not win.

41 00:06:18.800 ⇒ 00:06:21.260 Jakob Kagel: Really? Oh, you’re a lakers. Man, yeah, yeah, yeah, yeah, yeah.

42 00:06:21.260 ⇒ 00:06:23.019 Uttam Kumaran: Fuck that dude.

43 00:06:24.360 ⇒ 00:06:24.970 Jakob Kagel: Yeah, but.

44 00:06:24.970 ⇒ 00:06:26.090 Uttam Kumaran: Well, we just got one.

45 00:06:26.090 ⇒ 00:06:29.149 Jakob Kagel: Probably good. You’ll probably be the favorite, because.

46 00:06:29.150 ⇒ 00:06:31.860 Uttam Kumaran: Course. Yeah, this is their fucking year. But.

47 00:06:31.860 ⇒ 00:06:34.130 Jakob Kagel: They’ll have home for it. Yeah, so, but.

48 00:06:34.130 ⇒ 00:06:37.620 Uttam Kumaran: This is their year to win, but, like dude, they’re so boring and.

49 00:06:37.620 ⇒ 00:06:38.219 Jakob Kagel: Maves are coming.

50 00:06:38.220 ⇒ 00:06:38.770 Uttam Kumaran: Yeah.

51 00:06:38.770 ⇒ 00:06:39.389 Jakob Kagel: I don’t know.

52 00:06:39.390 ⇒ 00:06:40.770 Uttam Kumaran: Labs are really cooking.

53 00:06:41.260 ⇒ 00:06:43.520 Uttam Kumaran: Well, it’s their game tonight is that is the last game of it.

54 00:06:43.520 ⇒ 00:06:44.080 Jakob Kagel: Yeah.

55 00:06:44.080 ⇒ 00:06:44.879 Uttam Kumaran: Well, there’s here some.

56 00:06:44.880 ⇒ 00:06:50.699 Jakob Kagel: Timber wolves. I think the maps timberwolves last game is tonight. I think I think it’s about to tip off like in like 2 h.

57 00:06:51.710 ⇒ 00:06:54.120 Uttam Kumaran: Fuck, did I? Wanna try to watch a game this week?

58 00:06:55.840 ⇒ 00:06:56.769 Jakob Kagel: Yeah, I don’t know. I mean.

59 00:06:56.770 ⇒ 00:06:57.190 Uttam Kumaran: A.

60 00:06:57.190 ⇒ 00:06:59.450 Jakob Kagel: Probably one more Wednesday

61 00:07:00.220 ⇒ 00:07:05.880 Jakob Kagel: is that the the pacers they play on Wednesday. That’s a big break, though. Really, let me see.

62 00:07:06.374 ⇒ 00:07:08.350 Uttam Kumaran: Well, the game for

63 00:07:08.460 ⇒ 00:07:10.410 Uttam Kumaran: timber wolves is tomorrow.

64 00:07:10.410 ⇒ 00:07:10.990 Jakob Kagel: Oh, okay.

65 00:07:10.990 ⇒ 00:07:12.349 Uttam Kumaran: Today, they play game, form.

66 00:07:12.350 ⇒ 00:07:13.659 Jakob Kagel: Hi! Oh! They play.

67 00:07:13.660 ⇒ 00:07:17.769 Uttam Kumaran: 4 game 4, and then I guess they’ll have a break, basically, until

68 00:07:18.200 ⇒ 00:07:19.120 Uttam Kumaran: probably Thursday.

69 00:07:19.120 ⇒ 00:07:22.029 Jakob Kagel: Exactly on Tuesday, Tuesday, 7, 30, yeah.

70 00:07:22.950 ⇒ 00:07:26.450 Uttam Kumaran: If there’s a game on Thursday, maybe we should watch, I’d be down to watch.

71 00:07:26.450 ⇒ 00:07:28.509 Jakob Kagel: No, I’ll I’ll probably be down. Yeah.

72 00:07:29.190 ⇒ 00:07:30.180 Jakob Kagel: for sure.

73 00:07:32.260 ⇒ 00:07:46.761 Jakob Kagel: Cool? Yeah. So we had a couple of meetings last week. We had the one. So with like wild like with the revenue forecast thing, this start with this one real quick before we talk about the Zendesk tickets and all this stuff. So

74 00:07:47.800 ⇒ 00:07:54.420 Jakob Kagel: the thing that they’re saying and I mean, this is quite possible. We have to check. I have to validate this. But

75 00:07:54.560 ⇒ 00:08:02.799 Jakob Kagel: they’re saying that. Basically all we don’t have, like enough like, or we don’t have very many repeat customers at all. Like it’s like 90% one offs.

76 00:08:03.502 ⇒ 00:08:06.579 Jakob Kagel: And for that reason. It’s like

77 00:08:07.230 ⇒ 00:08:13.479 Jakob Kagel: it’s really hard for them to do the revenue forecasting because they do revenue forecasting basically is like customer lifetime value.

78 00:08:13.610 ⇒ 00:08:20.050 Jakob Kagel: But the only ones that you can sort of do this for the ones that have made like multiple purchases. So

79 00:08:20.250 ⇒ 00:08:23.770 Jakob Kagel: they sent us like this whole deck. And they’re basically saying, Yeah.

80 00:08:24.340 ⇒ 00:08:33.260 Jakob Kagel: we don’t know. And I mean, the thing is to like they’re only working with like the shopify data. So I don’t know. And that’s what I’m gonna check is like.

81 00:08:33.390 ⇒ 00:08:40.091 Jakob Kagel: is the Amazon like? Are the Amazon customers like the same as the shopify ones?

82 00:08:40.600 ⇒ 00:08:50.080 Jakob Kagel: but I do think I mean, it’s highly probable that we do like pool parts does have like a lot of like people that are just making one purchase. So

83 00:08:50.600 ⇒ 00:08:56.069 Jakob Kagel: yeah, I don’t know. We’ll see. I mean, I don’t know if they’ll be able to help us kind of or like, if their model.

84 00:08:56.070 ⇒ 00:08:56.770 Uttam Kumaran: Okay. Yeah.

85 00:08:57.306 ⇒ 00:09:00.860 Jakob Kagel: And we might have to pivot out of that. I’m not sure.

86 00:09:01.340 ⇒ 00:09:04.350 Uttam Kumaran: That’s fair, I mean, I think, on that thread.

87 00:09:04.530 ⇒ 00:09:08.089 Uttam Kumaran: One thing we should share with pool parts is like.

88 00:09:08.550 ⇒ 00:09:10.570 Uttam Kumaran: is this a problem or not? Like.

89 00:09:10.570 ⇒ 00:09:29.569 Jakob Kagel: Right? Exactly. No, that that was the next thing that I was gonna say. And that’s basically like what we were discussing like in the meeting was like, or what I was saying, yeah, too, is like, Okay, well, this is good. I mean, at least they’ve already like we just need to validate like what they’re saying, like, I just wanna check and make sure, because, you know, it’s not always the case that

90 00:09:30.890 ⇒ 00:09:38.300 Jakob Kagel: I mean, I think that they probably, you know, did it the right way or whatnot. But we should just check because they’re saying it’s like, you know, 90% or something which is.

91 00:09:38.300 ⇒ 00:09:38.620 Uttam Kumaran: Okay.

92 00:09:38.940 ⇒ 00:09:41.529 Jakob Kagel: Really high, which is exactly like

93 00:09:41.960 ⇒ 00:09:59.250 Jakob Kagel: it’s tricky. But this is the thing because we’ve run into this like at home, depot a lot to like with consumers like like diy homeowner type people where it’s like, do they make an appliance purchase like you buy a fucking dishwash, or whatever washing machine or something. And then it’s like, Yeah, you don’t buy one for like 3 years.

94 00:09:59.520 ⇒ 00:10:02.539 Uttam Kumaran: So I guess, how do you? How do you guys solve it? Is it like.

95 00:10:02.870 ⇒ 00:10:04.580 Uttam Kumaran: Well, you guys are coming? And you’re like.

96 00:10:04.580 ⇒ 00:10:06.020 Jakob Kagel: Cool. I mean we we have that.

97 00:10:06.305 ⇒ 00:10:06.590 Uttam Kumaran: Shit.

98 00:10:06.590 ⇒ 00:10:14.090 Jakob Kagel: Yeah, we have. I mean, we. We have people like that. But we have a lot more people that shop with us like every week, or whatever like, you know, we have a lot of and stuff so.

99 00:10:14.090 ⇒ 00:10:15.360 Uttam Kumaran: But I guess it’s like.

100 00:10:15.360 ⇒ 00:10:19.149 Jakob Kagel: Smaller ones, it’s like, but they basically like poop hearts to go. It’s like.

101 00:10:19.960 ⇒ 00:10:29.639 Jakob Kagel: And and this, we kind of discuss this like pro consumer split to like same sort of thing where it’s like, okay, there might be people that are shopping on pool parts that are like

102 00:10:29.810 ⇒ 00:10:48.330 Jakob Kagel: whatever buying stuff in bulk or something, and they’re like flipping it. Or like, you know, they’re like a business essentially like they’re buying whatever pool part stuff like, so that they can do pool cleaning, or, you know, whatever one of my friends actually tried to like, convince me to do like a pool cleaning business like to it.

103 00:10:48.805 ⇒ 00:10:49.280 Uttam Kumaran: Nice.

104 00:10:49.570 ⇒ 00:10:50.560 Uttam Kumaran: when.

105 00:10:50.560 ⇒ 00:10:52.846 Jakob Kagel: But no, I was like dude. I don’t know.

106 00:10:53.100 ⇒ 00:10:54.339 Uttam Kumaran: A few years ago.

107 00:10:54.340 ⇒ 00:10:56.813 Jakob Kagel: Yeah, I was like dude. It’s too fucking hot, man. I don’t.

108 00:10:57.020 ⇒ 00:10:58.270 Uttam Kumaran: Dude! No, no, no! No! Actually.

109 00:10:58.270 ⇒ 00:11:01.930 Jakob Kagel: Do it and shit like in the beginning, like you have to. You know.

110 00:11:02.270 ⇒ 00:11:07.160 Uttam Kumaran: Here’s here. Here, wait! Here’s what you know. I actually talked to Dan about this because I was talking to Dan. And I was like

111 00:11:07.360 ⇒ 00:11:14.023 Uttam Kumaran: I was talking to him about like, yeah, it’s actually his business is kind of good. And I was like, you know, what like. I wonder if

112 00:11:15.000 ⇒ 00:11:24.480 Uttam Kumaran: He I was that fucking him. He was like, you know, if he was like, if I was 21 I would go start a pool cleaning business. And I was like, Okay, just run through his hypothetical for me. If, in fact, we start a pool cleaning business.

113 00:11:25.050 ⇒ 00:11:38.179 Uttam Kumaran: I was like, this is the way I would think about is, I told him I would probably cut a deal with you guys, give you some percent of the company, sign an exclusive manufacturing deal where I only source parts from you. You can give it to me at cost.

114 00:11:38.280 ⇒ 00:11:40.619 Uttam Kumaran: And then we basically just

115 00:11:40.640 ⇒ 00:11:42.680 Uttam Kumaran: use their similar market like.

116 00:11:42.740 ⇒ 00:11:45.819 Uttam Kumaran: we’ll basically just use their same marketing tactics.

117 00:11:45.940 ⇒ 00:11:49.529 Uttam Kumaran: Just localize it to Austin. And then

118 00:11:50.140 ⇒ 00:11:52.439 Uttam Kumaran: just like, do the service company.

119 00:11:52.570 ⇒ 00:11:57.719 Uttam Kumaran: And he was like, Yeah, it’s a fucking easiest business, but I was talking. I was seriously like kind of like.

120 00:11:57.720 ⇒ 00:11:58.200 Jakob Kagel: In.

121 00:11:58.200 ⇒ 00:11:58.860 Uttam Kumaran: I was like.

122 00:11:58.860 ⇒ 00:12:09.180 Jakob Kagel: Yeah, I mean, I don’t want a little bit of a tangent here. But I mean, yeah, I I don’t think it’s a bad idea. I mean the way that I didn’t have obviously connections at pool parts. We were trying to.

123 00:12:09.180 ⇒ 00:12:09.940 Uttam Kumaran: Oh, now we do.

124 00:12:09.940 ⇒ 00:12:10.320 Jakob Kagel: It will.

125 00:12:10.320 ⇒ 00:12:11.740 Uttam Kumaran: But how are we delivering.

126 00:12:11.740 ⇒ 00:12:19.410 Jakob Kagel: The way we looked at it was like, or the yeah, it was like we were looking at like business broker, or whatever like. There’s somebody already has like clients.

127 00:12:19.410 ⇒ 00:12:20.110 Uttam Kumaran: Yeah.

128 00:12:20.640 ⇒ 00:12:25.519 Jakob Kagel: So there was one for sale was like $70,000, you know, which

129 00:12:25.610 ⇒ 00:12:26.670 Jakob Kagel: you know

130 00:12:26.850 ⇒ 00:12:27.400 Jakob Kagel: well, so.

131 00:12:27.400 ⇒ 00:12:31.939 Uttam Kumaran: Here’s what I was saying. I was like I was like we should we should think about. We should either

132 00:12:32.170 ⇒ 00:12:36.630 Uttam Kumaran: buy like the smallest, or like a small one that already exists.

133 00:12:36.630 ⇒ 00:12:37.530 Jakob Kagel: Right, which I think.

134 00:12:37.530 ⇒ 00:12:38.669 Uttam Kumaran: They absorb.

135 00:12:38.670 ⇒ 00:12:40.069 Jakob Kagel: Pretty small like, you know.

136 00:12:40.070 ⇒ 00:12:42.929 Uttam Kumaran: Yeah, absorb and mainly do for their talent.

137 00:12:43.240 ⇒ 00:12:44.520 Jakob Kagel: Right, yeah.

138 00:12:44.520 ⇒ 00:12:47.509 Uttam Kumaran: 70 k. For a business is like fucking nothing. Bro.

139 00:12:47.510 ⇒ 00:12:48.470 Jakob Kagel: Right exactly

140 00:12:49.070 ⇒ 00:12:52.900 Jakob Kagel: 20 pools, or something like, you know. I don’t know.

141 00:12:52.900 ⇒ 00:12:54.260 Uttam Kumaran: Yeah. At the same time. Like.

142 00:12:54.410 ⇒ 00:12:57.749 Uttam Kumaran: if we partner with pool parts, we don’t need them for leads.

143 00:12:58.440 ⇒ 00:13:03.814 Uttam Kumaran: The thing that’s the thing. That’s the hardest thing, I think, is actually getting the people that can do the work.

144 00:13:04.200 ⇒ 00:13:10.089 Uttam Kumaran: which is, which is why I was talking to him, because the one that, he said, is, it’s the workers are really unreliable.

145 00:13:10.090 ⇒ 00:13:13.189 Jakob Kagel: Yeah, it’s hot as fuck riding. Nobody want to do this shit dude like.

146 00:13:13.190 ⇒ 00:13:25.170 Uttam Kumaran: It’s hella hot. But the same time it’s like, Okay, what is the what is the real problem, though? Is it like that? They’re not paying well, is it that the route they’re not doing like, you know. So like, that’s a problem that I was like, okay.

147 00:13:25.573 ⇒ 00:13:30.410 Jakob Kagel: I don’t know how seasonal the business is to. I mean, imagine.

148 00:13:30.410 ⇒ 00:13:31.210 Uttam Kumaran: Seasonal.

149 00:13:31.640 ⇒ 00:13:35.762 Jakob Kagel: I mean, Austin, you can still probably go to your pool 7, 8 months at least, like you know.

150 00:13:35.980 ⇒ 00:13:44.270 Uttam Kumaran: But you could see in their data that there’s there’s a pool opening. There’s a probably 2 p. 2 times. It’s like, probably like twice annually. You have to do some like services.

151 00:13:44.747 ⇒ 00:13:50.129 Uttam Kumaran: But I, he said, the biggest problem is that there’s like you have to train people to do. But you know what we do is like

152 00:13:50.160 ⇒ 00:14:01.330 Uttam Kumaran: dude. I would just like try to get people out of high school, basically say, we’ll give you fucking like 20 bucks an hour, 30 bucks an hour like couple of times the minimum wage, and just train people on how to do this stuff.

153 00:14:01.420 ⇒ 00:14:03.850 Uttam Kumaran: We get all the leads from pool parts.

154 00:14:04.220 ⇒ 00:14:07.540 Uttam Kumaran: because we basically said, like, Give us their customer, the people you’ve sold to.

155 00:14:07.540 ⇒ 00:14:10.269 Jakob Kagel: Don’t even have to ask them. We have the data. I mean.

156 00:14:10.270 ⇒ 00:14:16.270 Uttam Kumaran: No, no, I know but the but it’s see, this is what the thing is. What do we do? Is like, I would try if we start a company on that, I would tell them.

157 00:14:16.270 ⇒ 00:14:17.309 Jakob Kagel: Yeah, the thing that’s.

158 00:14:17.310 ⇒ 00:14:18.100 Uttam Kumaran: Will.

159 00:14:18.100 ⇒ 00:14:19.569 Jakob Kagel: Yeah. Sorry. Go. Ahead. Yeah.

160 00:14:19.940 ⇒ 00:14:30.580 Uttam Kumaran: So we’ll we’ll run operations. And then, basically, you get some percentage of it. You sell us that stuff at cost, and then we’ll give you some kick back on the services. Basically.

161 00:14:30.580 ⇒ 00:14:39.050 Jakob Kagel: Yeah, the thing is like, we just don’t know how good, like their data is for Austin, you know, like their data, they have sell pool partnership, but they said some of the shit West Coast.

162 00:14:39.160 ⇒ 00:14:39.850 Jakob Kagel: Florida.

163 00:14:39.850 ⇒ 00:14:42.300 Uttam Kumaran: No, they saw a law in Texas, you know.

164 00:14:42.300 ⇒ 00:14:45.869 Jakob Kagel: But in offices specifically like how much like.

165 00:14:45.870 ⇒ 00:14:46.190 Uttam Kumaran: Chair.

166 00:14:46.190 ⇒ 00:14:52.679 Jakob Kagel: And like, I don’t know. I mean, there’s definitely some data like, you know, I have no idea. So we have to check. But.

167 00:14:52.680 ⇒ 00:15:00.759 Uttam Kumaran: That’s what that’s what I would do is like. And then, basically, we get everybody. The thing is that a lot of these pool guys aren’t doing. Is that

168 00:15:00.990 ⇒ 00:15:05.760 Uttam Kumaran: like you don’t? You should be getting a text message every like 2 months with like.

169 00:15:05.770 ⇒ 00:15:09.270 Uttam Kumaran: Hey, check in on your pool on this thing or and let us come in and do this.

170 00:15:09.310 ⇒ 00:15:18.789 Uttam Kumaran: You should be able to like they should just be like, Yeah, we should be hitting you with a bunch of different things, and the thing is we should offer the cheapest rates for pumps, but they get them on the services.

171 00:15:19.010 ⇒ 00:15:21.359 Jakob Kagel: Oh, yeah, for sure. No. Yeah. Yeah. Yeah. This.

172 00:15:21.360 ⇒ 00:15:29.132 Uttam Kumaran: Like we should say we’re gonna get you the pumps and everything. But then for your annual cleaning, for your chemical thing, for your leaf, fucking thing.

173 00:15:29.620 ⇒ 00:15:30.020 Jakob Kagel: That’s what.

174 00:15:30.020 ⇒ 00:15:46.869 Uttam Kumaran: But I was. I was seriously talking to Dan about that because I was like, Yeah, we’re we’re already gonna do all the data for you. I think we could easily like I could. We could go buy. I’ll buy a data set of every house in Austin with the pool. We’ll do a quick direct. We’ll do a quick, direct mail campaign.

175 00:15:46.870 ⇒ 00:15:47.340 Jakob Kagel: Yeah.

176 00:15:47.340 ⇒ 00:15:51.389 Uttam Kumaran: I think we could do most we could honestly like just do it, just to see what the inbounds like.

177 00:15:51.390 ⇒ 00:15:53.339 Jakob Kagel: Got me. You got me sold, I mean

178 00:15:53.810 ⇒ 00:15:55.680 Jakob Kagel: to do like, you know.

179 00:15:55.680 ⇒ 00:15:56.450 Uttam Kumaran: I.

180 00:15:56.450 ⇒ 00:15:57.150 Jakob Kagel: Anyone.

181 00:15:57.890 ⇒ 00:16:02.930 Jakob Kagel: I mean, I like this a lot more, you know, obviously with the partnership with them. Then, like.

182 00:16:02.930 ⇒ 00:16:05.789 Uttam Kumaran: No, I don’t want us to be like doing it for them. I want to.

183 00:16:05.790 ⇒ 00:16:08.190 Jakob Kagel: Right? Right? Right? We do like, yeah, you know. But we.

184 00:16:08.190 ⇒ 00:16:09.789 Uttam Kumaran: It works it. We have a connection.

185 00:16:09.790 ⇒ 00:16:11.499 Jakob Kagel: Average. Yeah, exactly. And not.

186 00:16:11.500 ⇒ 00:16:14.429 Uttam Kumaran: For them doing that business is too small money.

187 00:16:14.760 ⇒ 00:16:15.899 Uttam Kumaran: hey? I see. I mean.

188 00:16:15.900 ⇒ 00:16:18.170 Jakob Kagel: Yeah, fax, but it’s not us like, I mean.

189 00:16:18.170 ⇒ 00:16:23.230 Uttam Kumaran: No, for us. We would fucking, I would fucking do it. But then you know, what we would do is like we would just handle

190 00:16:23.340 ⇒ 00:16:27.020 Uttam Kumaran: the marketing and like getting your thing up and running. And then, basically, I’m just trying to like.

191 00:16:27.020 ⇒ 00:16:27.420 Jakob Kagel: But autumn.

192 00:16:27.420 ⇒ 00:16:38.400 Uttam Kumaran: Put some smart high schooler in charge of everything, or put some smart high school grad, or like some like some like fucking A/C kid, I’d be like yo. Do you want to just be the GM. Of this fucking cool business

193 00:16:38.410 ⇒ 00:16:40.240 Uttam Kumaran: and just have the guy rip it.

194 00:16:40.450 ⇒ 00:16:43.970 Jakob Kagel: Yeah, he said. Austin, community college here.

195 00:16:43.970 ⇒ 00:16:47.789 Uttam Kumaran: Yes, dude you, we’re not going for a ut grand. They’re way too smart.

196 00:16:48.113 ⇒ 00:16:55.230 Jakob Kagel: I’ll tell you what, man, that some of these fucking apartment pools I went to this weekend. They could definitely get clean.

197 00:16:55.230 ⇒ 00:16:58.002 Uttam Kumaran: No, they’re nasty. Yeah, some of them are nasty. And

198 00:16:58.880 ⇒ 00:17:03.780 Uttam Kumaran: and I just, I just think like, if you have a if you have a deal with the manufacturer.

199 00:17:03.870 ⇒ 00:17:08.219 Uttam Kumaran: and if we can work with, if we work with pool parts to figure how to train people.

200 00:17:08.940 ⇒ 00:17:14.179 Uttam Kumaran: I would run one here, and then I’d be like cool. Let’s move to Kyle. Let’s move it to let’s do one around this.

201 00:17:14.200 ⇒ 00:17:16.608 Uttam Kumaran: Just try one in the surrounding cities and

202 00:17:17.480 ⇒ 00:17:18.669 Jakob Kagel: Hey? I mean, I’m on board.

203 00:17:18.670 ⇒ 00:17:23.489 Uttam Kumaran: Because it. If we already have the marketing done, we have the access to the parts.

204 00:17:24.109 ⇒ 00:17:28.200 Uttam Kumaran: It’s kind of just like there’s already people that are implementing this and taking a cut on top.

205 00:17:28.510 ⇒ 00:17:29.010 Jakob Kagel: Right.

206 00:17:29.010 ⇒ 00:17:30.940 Uttam Kumaran: Already. That’s all these people do.

207 00:17:31.220 ⇒ 00:17:33.360 Jakob Kagel: No, hey? Whatever you need me to do, man.

208 00:17:33.360 ⇒ 00:17:36.499 Uttam Kumaran: Okay. Alright, alright! I’m thinking about. I’m thinking.

209 00:17:36.500 ⇒ 00:17:38.740 Jakob Kagel: Plan. Then you you you got.

210 00:17:38.740 ⇒ 00:17:40.769 Uttam Kumaran: I know, I know, I see, I thought, and I.

211 00:17:40.770 ⇒ 00:17:44.229 Jakob Kagel: Like. I’m the guy that can help you execute. You know I’m gonna show up.

212 00:17:44.230 ⇒ 00:17:48.020 Uttam Kumaran: I know. I know. I know, you know. Yeah. But yeah, cause.

213 00:17:48.020 ⇒ 00:17:51.250 Jakob Kagel: You’ve got the ideas in the vision. So you know, I’m just.

214 00:17:51.250 ⇒ 00:17:54.060 Uttam Kumaran: The thing is, it’s like I don’t want us to go do that half ass. It’s gonna.

215 00:17:54.060 ⇒ 00:17:54.909 Jakob Kagel: Is there a lot of times.

216 00:17:54.910 ⇒ 00:17:56.420 Uttam Kumaran: So I wanna make sure that like.

217 00:17:56.770 ⇒ 00:17:57.380 Jakob Kagel: Yeah.

218 00:17:57.600 ⇒ 00:17:58.040 Uttam Kumaran: Feel that.

219 00:17:58.040 ⇒ 00:17:58.500 Jakob Kagel: We got.

220 00:17:58.500 ⇒ 00:18:02.339 Uttam Kumaran: So do it. It’s like we get some money, we get some, we get some momentum, and then, like.

221 00:18:02.700 ⇒ 00:18:03.150 Jakob Kagel: Yeah.

222 00:18:03.150 ⇒ 00:18:06.699 Uttam Kumaran: It’s just it’s just too few people chasing too many ideas. So yeah.

223 00:18:06.937 ⇒ 00:18:14.530 Jakob Kagel: Yeah, keep the main thing the main thing. But you don’t know. I mean, we keep working for them for whatever you know. Couple, 6 more months, or some shit, and like.

224 00:18:14.810 ⇒ 00:18:15.420 Uttam Kumaran: Yeah.

225 00:18:15.420 ⇒ 00:18:32.900 Jakob Kagel: Ideas with them. But yeah, definitely think like, that should be kind of like our next like, update that we give to them once they can validate this data. Real quick is like, just like you know how we did the returns and like refunds. Analysis. I think we should do like customer profiling

226 00:18:32.930 ⇒ 00:18:56.149 Jakob Kagel: on like 2 things on one like, yeah, like, how many people are buying like single purchase like one time customers. And then how many people are like, like we do this split at home depot a lot that’s like by spend band. Right? So it’s like, Did you spend like a thousand to 10,000 10,000 to 25,000 25,000 to 100 k. 100 k. To like 2, 50, over 2 50. You know what I mean.

227 00:18:56.150 ⇒ 00:18:56.940 Uttam Kumaran: Yeah.

228 00:18:56.940 ⇒ 00:19:19.729 Jakob Kagel: The same thing for them and say, like, Okay, you know, this is how your customers are broken out, cause I don’t think I mean, I don’t think that they have this basically just based on our dashboards and shit. It’s like they know how much like total they’re bringing in and like what the you know, average order value is and things like that. But they don’t know. Like, are there customers like, yeah, like, how many big customers do they have

229 00:19:20.026 ⇒ 00:19:28.810 Jakob Kagel: and then it’s like to. Once you know more about these big customers. It’s like that’s who you really can try to like. Acquire, you know, like home depot and stuff, it’s like.

230 00:19:28.850 ⇒ 00:19:33.529 Jakob Kagel: Do we don’t really give a fuck about consumers, do we care? Everything is about pro like every.

231 00:19:33.530 ⇒ 00:19:34.540 Uttam Kumaran: Lightning.

232 00:19:34.540 ⇒ 00:19:42.520 Jakob Kagel: We’re just like big customers like they’re gonna spend more like, you know. And I don’t know about the pools business that much. But like.

233 00:19:42.850 ⇒ 00:19:55.000 Jakob Kagel: yeah, it’s like that. If we can like, help them try to figure out like how to acquire more of these bigger, like business, like customers, or whatever that I think is maybe like how we can’t add a little more value.

234 00:19:55.420 ⇒ 00:19:56.020 Jakob Kagel: So.

235 00:19:56.020 ⇒ 00:20:10.150 Uttam Kumaran: One thing. Let’s so so we have like, so you’re totally right. So one is like, that’s a that’s that’s the next thing up. I just basically want to close this refunds out. I ha have, like a good understanding of how that works. What we found out move on to the customer segments.

236 00:20:10.150 ⇒ 00:20:10.650 Jakob Kagel: Of Mini.

237 00:20:10.650 ⇒ 00:20:11.690 Uttam Kumaran: They’re actually.

238 00:20:11.690 ⇒ 00:20:12.570 Jakob Kagel: Vernon, yeah.

239 00:20:12.570 ⇒ 00:20:20.458 Uttam Kumaran: They’re they’re so interested in this stuff. One thing you’re totally right. I wanna find out how many people are. One time versus versus returning. I wanna find.

240 00:20:20.750 ⇒ 00:20:24.519 Uttam Kumaran: So like, basically, how many have done 1, 2, or 3

241 00:20:24.910 ⇒ 00:20:28.259 Uttam Kumaran: orders like, that’s that would be the first thing I want to look at.

242 00:20:28.260 ⇒ 00:20:28.960 Jakob Kagel: Stuff like that.

243 00:20:28.960 ⇒ 00:20:30.079 Uttam Kumaran: Thing is like.

244 00:20:30.080 ⇒ 00:20:35.760 Jakob Kagel: Pull that pretty quick. I mean, that’s not like, you know. I’ll just go ahead and do that. Basically. Yeah.

245 00:20:35.760 ⇒ 00:20:42.510 Uttam Kumaran: Second thing I want to look at is that within each of the customer segments, which is the pros versus

246 00:20:42.720 ⇒ 00:20:43.950 Uttam Kumaran: consumers.

247 00:20:44.110 ⇒ 00:20:50.180 Uttam Kumaran: I wanna look, I wanna confirm our hypothesis that pros order more often

248 00:20:50.200 ⇒ 00:20:51.959 Uttam Kumaran: and have higher

249 00:20:52.170 ⇒ 00:20:54.409 Uttam Kumaran: like, have higher. Ltv.

250 00:20:54.410 ⇒ 00:20:56.400 Jakob Kagel: They spend more. Yeah, for sure.

251 00:20:56.400 ⇒ 00:20:57.940 Uttam Kumaran: So I’m just gonna write this down.

252 00:20:57.940 ⇒ 00:21:05.580 Jakob Kagel: Of course, because, like the pro consumer split, that, we will do. Basically, the only way that we can do this is basically on the send band like I’m.

253 00:21:05.580 ⇒ 00:21:07.530 Uttam Kumaran: But why can’t we do it on the email?

254 00:21:08.270 ⇒ 00:21:22.519 Jakob Kagel: No, we can. But I’m saying like it’ll be at like the emails, like, you know, the individual like level. But I’m saying like the way that we say, like, Are you a pro? Or are you like a consumer, basically is like, how much did you spend? But it like, you know.

255 00:21:22.520 ⇒ 00:21:23.000 Uttam Kumaran: I see.

256 00:21:23.000 ⇒ 00:21:23.580 Jakob Kagel: And we can.

257 00:21:23.580 ⇒ 00:21:24.679 Uttam Kumaran: See, I see, I see, I see.

258 00:21:24.680 ⇒ 00:21:33.509 Jakob Kagel: So like when we do this at home depot, like we factor in a lot of other things. I mean the main things there’s like, you know, we have a whole model. And

259 00:21:33.670 ⇒ 00:22:01.530 Jakob Kagel: but the main things that we use are product class, right? So like pros buy different shit like they don’t buy like home gardening, or whatever like, you know, consumers buy. And then it’s like the time of day, and like the frequency that you shop. So it’s like how frequent and like the product class, we can do the frequency. And we can do the spend bam part. We just probably don’t know as much about the product class, and we can try to figure that piece out, do some like light research and maybe asking them, like, you know, if they

260 00:22:01.590 ⇒ 00:22:09.369 Jakob Kagel: you know, have any ideas like if it’s like businesses, by whatever brushes, more or like, like, you know, like, do people.

261 00:22:09.370 ⇒ 00:22:13.830 Uttam Kumaran: The other thing that we have the ability to do is I can put. I can go run.

262 00:22:13.960 ⇒ 00:22:16.569 Uttam Kumaran: I can go. Do lookups on all the email addresses.

263 00:22:16.840 ⇒ 00:22:17.840 Jakob Kagel: Right.

264 00:22:17.840 ⇒ 00:22:19.750 Uttam Kumaran: And associated with a company or not.

265 00:22:20.090 ⇒ 00:22:31.288 Jakob Kagel: Right? I mean the issue kind of with the email. And this is like a hypothesis that I had about like. Why, we’re seeing so many one time orders cause like we do it on email.

266 00:22:32.190 ⇒ 00:22:33.979 Jakob Kagel: I mean, I don’t know that this is like.

267 00:22:33.980 ⇒ 00:22:35.380 Uttam Kumaran: Using personal email.

268 00:22:35.380 ⇒ 00:22:49.239 Jakob Kagel: Yeah, well, I just think like a lot of times like these websites and shit like I think they have like a offer or whatever. If you go to a website for the first time. And you put in the email that you get like a certain percentage off right? So people would would do that.

269 00:22:49.240 ⇒ 00:22:51.390 Uttam Kumaran: But also their but their name is gonna be the same.

270 00:22:52.420 ⇒ 00:22:53.320 Jakob Kagel: Yeah, okay.

271 00:22:53.770 ⇒ 00:22:56.689 Uttam Kumaran: We’ll just have. We’ll just craft this query, basically until we

272 00:22:56.960 ⇒ 00:22:59.140 Uttam Kumaran: we hit email name.

273 00:22:59.680 ⇒ 00:23:02.790 Uttam Kumaran: And then we just craft until we’re like with what we have.

274 00:23:02.820 ⇒ 00:23:05.020 Uttam Kumaran: This is our rough hypothesis.

275 00:23:05.020 ⇒ 00:23:05.430 Jakob Kagel: Right.

276 00:23:05.430 ⇒ 00:23:11.019 Uttam Kumaran: The other thing I wanna also do is I can pull for any like Zip.

277 00:23:11.120 ⇒ 00:23:14.700 Uttam Kumaran: basically, all the pool service pros

278 00:23:15.050 ⇒ 00:23:16.440 Uttam Kumaran: in an area.

279 00:23:16.520 ⇒ 00:23:19.609 Uttam Kumaran: So we can actually go try to figure out for.

280 00:23:19.782 ⇒ 00:23:20.300 Jakob Kagel: Space. A quick.

281 00:23:20.300 ⇒ 00:23:24.390 Uttam Kumaran: Key zips penetration. But but also we just figure out penetration.

282 00:23:24.390 ⇒ 00:23:25.130 Jakob Kagel: Right.

283 00:23:25.130 ⇒ 00:23:35.089 Uttam Kumaran: Because, to give a sense of what the opportunity is I want to show like, Hey, we pulled like we pulled 78702 like East Austin there, or like

284 00:23:35.140 ⇒ 00:23:43.290 Uttam Kumaran: there’s like 50 different pool pro that we pull like Austin, general, there’s like 150. We only found 5 in our database.

285 00:23:43.910 ⇒ 00:23:44.350 Jakob Kagel: Yeah.

286 00:23:44.350 ⇒ 00:23:45.060 Uttam Kumaran: Right.

287 00:23:45.270 ⇒ 00:23:45.690 Jakob Kagel: Right.

288 00:23:45.690 ⇒ 00:23:49.989 Uttam Kumaran: So that that’s that’s an awesome thing that I would. It would be cool to share that like

289 00:23:50.220 ⇒ 00:23:53.719 Uttam Kumaran: we, I can scrape their emails and basically say, like you had these

290 00:23:54.240 ⇒ 00:24:03.599 Uttam Kumaran: these people. And then we can basically make a suggestion like you can either market to those people or just give a sense of like what the penetration rate is on like pros that we’ve sold into.

291 00:24:04.260 ⇒ 00:24:07.500 Jakob Kagel: Yeah, no, I think that’s a great, that’s a great one for sure. And yeah, just like.

292 00:24:07.500 ⇒ 00:24:11.149 Uttam Kumaran: You know the other. The other thing we can even do is we can go. We can even go call

293 00:24:11.440 ⇒ 00:24:21.189 Uttam Kumaran: one of those people that we sold to and be like, Hey, do we? Just we’re just doing a basically just call them and say, like, from our perspective, just learn about like how they make buying decisions.

294 00:24:21.340 ⇒ 00:24:21.710 Jakob Kagel: Yeah.

295 00:24:21.710 ⇒ 00:24:24.990 Uttam Kumaran: As a pool service pro like, why are the places you shop at?

296 00:24:25.080 ⇒ 00:24:27.619 Uttam Kumaran: What is? What is the main levers you’re looking at?

297 00:24:28.175 ⇒ 00:24:32.670 Uttam Kumaran: How is it? How’s service been from pool parts to go so far

298 00:24:32.770 ⇒ 00:24:37.899 Uttam Kumaran: like, I think that would give that probably more information that that probably just give us information to be like

299 00:24:38.200 ⇒ 00:24:43.129 Uttam Kumaran: cool. This is like kind of like, what a pool service pro generally like looks and feel like in the data.

300 00:24:43.670 ⇒ 00:24:57.744 Jakob Kagel: Cool. Yeah, no, that makes sense. Let’s talk about the Zendesk tickets real quick. So I’ve used the one like the example that we had. So let me hold on. So I have a lot of windows up. So I just have to find

301 00:24:58.450 ⇒ 00:25:03.010 Jakob Kagel: the excel. Let me see. Okay, got it. I’m just gonna put this into Zendesk.

302 00:25:03.030 ⇒ 00:25:13.909 Jakob Kagel: So we I can show you like, what I want to show you is like, basically what we have like what’s in Zendesk, and then what we have like in our tables, and kinda what’s missing right?

303 00:25:14.330 ⇒ 00:25:15.620 Jakob Kagel: So

304 00:25:16.090 ⇒ 00:25:16.850 Jakob Kagel: alright, let me share.

305 00:25:16.850 ⇒ 00:25:17.729 Uttam Kumaran: Yeah, hit me.

306 00:25:18.050 ⇒ 00:25:18.800 Jakob Kagel: Yeah.

307 00:25:22.290 ⇒ 00:25:24.049 Jakob Kagel: okay, you can see my screen.

308 00:25:24.360 ⇒ 00:25:25.060 Uttam Kumaran: Yeah.

309 00:25:25.360 ⇒ 00:25:28.710 Jakob Kagel: Okay? Right? So this was the example, right? That we looked at right.

310 00:25:29.150 ⇒ 00:25:29.760 Uttam Kumaran: Yeah.

311 00:25:30.100 ⇒ 00:25:39.405 Jakob Kagel: So it has. Alright. So yeah, it’s got this first. So this one is is actually missing, and I’ll show you the query to like I used

312 00:25:40.200 ⇒ 00:25:41.560 Jakob Kagel: for this.

313 00:25:42.180 ⇒ 00:25:43.740 Jakob Kagel: Let me see.

314 00:25:46.720 ⇒ 00:25:50.850 Jakob Kagel: I think this is it. Let me make sure I already have the excel pulled up. But

315 00:25:51.910 ⇒ 00:26:07.950 Jakob Kagel: yeah, so this is the exactly. So this is the entire thing. So basically, I just joined like on the the user id. And then I said, like, where the email is the same email that I searched on here like to get the ticket or whatever. And

316 00:26:08.090 ⇒ 00:26:10.530 Jakob Kagel: the result is, basically.

317 00:26:11.400 ⇒ 00:26:12.969 Jakob Kagel: we see.

318 00:26:13.060 ⇒ 00:26:14.220 Jakob Kagel: sorry.

319 00:26:14.920 ⇒ 00:26:18.049 Jakob Kagel: But it has like it has most of them in there.

320 00:26:18.440 ⇒ 00:26:24.320 Jakob Kagel: but not all of them. Oh, yeah, here it is. Yeah. So here, I’ll make this

321 00:26:25.200 ⇒ 00:26:28.409 Jakob Kagel: so that we can like compare them side by side.

322 00:26:28.610 ⇒ 00:26:31.920 Jakob Kagel: So the first message in here

323 00:26:32.820 ⇒ 00:26:37.649 Jakob Kagel: is like the Yes, I just received it today have not opened.

324 00:26:38.450 ⇒ 00:26:46.759 Jakob Kagel: But this is also like, still incomplete, I think, compared to what’s in Zendesk here like. If we look here, it has like.

325 00:26:49.020 ⇒ 00:26:50.740 Jakob Kagel: It has the order number.

326 00:26:50.900 ⇒ 00:27:03.584 Jakob Kagel: but when we pulled it from our table oh, sorry. Too many windows. Yeah. When we pulled it from our table here we only have oh, there it is. Okay. So we do have the full text there.

327 00:27:05.220 ⇒ 00:27:05.750 Jakob Kagel: but.

328 00:27:05.750 ⇒ 00:27:08.250 Uttam Kumaran: Good. So do you have, Charlie’s response.

329 00:27:09.270 ⇒ 00:27:12.451 Jakob Kagel: That’s the thing we don’t have, too. I don’t think

330 00:27:13.990 ⇒ 00:27:20.930 Jakob Kagel: like we don’t have his response, and we don’t have the first message. And some of these are blank like they’re null, and I’m not really

331 00:27:20.950 ⇒ 00:27:23.250 Jakob Kagel: exactly sure why.

332 00:27:23.810 ⇒ 00:27:24.670 Jakob Kagel: either.

333 00:27:25.530 ⇒ 00:27:30.479 Uttam Kumaran: Okay, then maybe this is a good example that I can take and go find it in the data cause.

334 00:27:30.810 ⇒ 00:27:34.179 Uttam Kumaran: probably just like at the root. So I need to figure out the joins.

335 00:27:34.900 ⇒ 00:27:38.540 Jakob Kagel: Yeah, something is missing. Because, yeah, I mean the first.

336 00:27:38.720 ⇒ 00:27:40.419 Jakob Kagel: the first one

337 00:27:42.120 ⇒ 00:27:51.409 Jakob Kagel: should be. Also, it’s not the yes. I’ve just received it. This one. Thanks. It’s the one before that where they asked the question. Even

338 00:27:51.730 ⇒ 00:27:55.270 Jakob Kagel: like this one right here, when they’re like, what’s the returns policy

339 00:27:55.630 ⇒ 00:27:57.299 Jakob Kagel: like that? One’s not in there.

340 00:27:58.040 ⇒ 00:27:59.787 Jakob Kagel: which is weird.

341 00:28:01.460 ⇒ 00:28:06.640 Jakob Kagel: And yeah. And then we’re also like, Yeah, we’re not having his response. I don’t know.

342 00:28:07.110 ⇒ 00:28:14.249 Uttam Kumaran: Can you send me, or can I? Can I? Can you just put that these in a comment? Here, I’m just gonna send it to you on slack.

343 00:28:14.450 ⇒ 00:28:17.349 Uttam Kumaran: Can you just toss both the Zendesk

344 00:28:17.630 ⇒ 00:28:18.830 Uttam Kumaran: link?

345 00:28:20.040 ⇒ 00:28:22.559 Uttam Kumaran: And the query ran.

346 00:28:22.870 ⇒ 00:28:23.960 Jakob Kagel: Yeah, sure.

347 00:28:24.270 ⇒ 00:28:30.459 Uttam Kumaran: And even just the file, you can just throw the file in there. I’m basically gonna go create

348 00:28:30.590 ⇒ 00:28:32.919 Uttam Kumaran: a base data model that has

349 00:28:33.332 ⇒ 00:28:36.590 Uttam Kumaran: and let’s see, we can even agree on. Like all the fields it needs.

350 00:28:37.990 ⇒ 00:28:39.621 Uttam Kumaran: like, it probably needs

351 00:28:41.610 ⇒ 00:28:44.569 Uttam Kumaran: probably needs like timestamp of the message.

352 00:28:45.610 ⇒ 00:28:46.680 Jakob Kagel: Riot.

353 00:28:47.460 ⇒ 00:28:51.849 Uttam Kumaran: So do we want every actually, I’m probably just gonna lump everything into one

354 00:28:52.150 ⇒ 00:28:53.140 Uttam Kumaran: style

355 00:28:54.340 ⇒ 00:28:58.339 Uttam Kumaran: for the message. So I’m just gonna timestamp. So I’m just gonna do created timestamp.

356 00:29:01.410 ⇒ 00:29:03.030 Uttam Kumaran: I’m going to do from

357 00:29:03.770 ⇒ 00:29:05.529 Uttam Kumaran: so user email

358 00:29:06.400 ⇒ 00:29:09.119 Uttam Kumaran: customer, email, customer email.

359 00:29:09.410 ⇒ 00:29:10.155 Uttam Kumaran: customer

360 00:29:11.410 ⇒ 00:29:14.230 Uttam Kumaran: service rep email.

361 00:29:14.520 ⇒ 00:29:16.139 Uttam Kumaran: I’m gonna do

362 00:29:16.870 ⇒ 00:29:23.480 Uttam Kumaran: entire message back and forth. I’m gonna also try to include the order number.

363 00:29:24.300 ⇒ 00:29:28.160 Uttam Kumaran: I’m gonna include the skew. If it’s possible.

364 00:29:30.450 ⇒ 00:29:32.429 Uttam Kumaran: I’m gonna try. And then.

365 00:29:32.430 ⇒ 00:29:35.400 Jakob Kagel: Some of the stuff you can probably join on, I mean. But yeah, if you.

366 00:29:35.400 ⇒ 00:29:36.210 Uttam Kumaran: Yeah.

367 00:29:36.210 ⇒ 00:29:38.060 Jakob Kagel: Well, it’s fine. But

368 00:29:38.910 ⇒ 00:29:46.508 Jakob Kagel: yeah, I mean, I think the most important thing is like to have the text and to be able to join it. Like to the email, basically

369 00:29:46.790 ⇒ 00:29:47.590 Uttam Kumaran: Yeah.

370 00:29:47.850 ⇒ 00:29:51.919 Uttam Kumaran: Well, let me create this base data model. It’s gonna timestamp email

371 00:29:51.930 ⇒ 00:29:54.970 Uttam Kumaran: service rep email, the entire back and forth.

372 00:29:55.010 ⇒ 00:30:01.570 Uttam Kumaran: the order number, the skew, if it’s possible, unless they order to multiple things the order price.

373 00:30:02.220 ⇒ 00:30:05.810 Uttam Kumaran: If I get the order, then I get the price, the discount, the address.

374 00:30:06.768 ⇒ 00:30:08.960 Uttam Kumaran: and the shipment provider

375 00:30:09.030 ⇒ 00:30:12.340 Uttam Kumaran: that way. It’s it’ll be easier for you to look at like tickets by

376 00:30:12.850 ⇒ 00:30:17.340 Uttam Kumaran: shipment provider, and see like if there’s a shipping provider that’s like fucked up, or something.

377 00:30:17.540 ⇒ 00:30:18.030 Jakob Kagel: Scurvy.

378 00:30:20.810 ⇒ 00:30:22.750 Uttam Kumaran: Is there anything else you think we need?

379 00:30:25.400 ⇒ 00:30:27.590 Uttam Kumaran: I guess like where they ordered from like

380 00:30:28.530 ⇒ 00:30:29.990 Uttam Kumaran: Amazon, or shopify.

381 00:30:29.990 ⇒ 00:30:32.990 Jakob Kagel: Well, you should be able to join on the order. Id right.

382 00:30:32.990 ⇒ 00:30:34.380 Uttam Kumaran: Yeah, yeah.

383 00:30:34.380 ⇒ 00:30:37.071 Jakob Kagel: But you can bring it in obviously, but like

384 00:30:37.980 ⇒ 00:30:39.739 Jakob Kagel: sorry, I’m just putting this stuff in the ticket.

385 00:30:39.740 ⇒ 00:30:40.990 Uttam Kumaran: No! No! No! All good.

386 00:30:40.990 ⇒ 00:30:42.731 Jakob Kagel: Yeah, it’s in there now.

387 00:30:43.340 ⇒ 00:30:47.149 Jakob Kagel: but yeah, exactly like I think

388 00:30:47.480 ⇒ 00:30:49.730 Jakob Kagel: I mean, I’m kind of debating like

389 00:30:49.880 ⇒ 00:30:53.739 Jakob Kagel: I mean, I mean, I don’t know how you. So you it’s like for every

390 00:30:54.410 ⇒ 00:30:58.220 Jakob Kagel: like input that the customer has. You’re gonna like.

391 00:30:58.260 ⇒ 00:31:00.750 Jakob Kagel: add the response into the same block.

392 00:31:00.750 ⇒ 00:31:10.519 Uttam Kumaran: I’m good. I’m gonna I’m just gonna yeah. I’m gonna basically do what’s called like a flag, which basically just like instead of adding every row. It’ll push it onto one row.

393 00:31:11.068 ⇒ 00:31:14.570 Uttam Kumaran: and it’ll just be it’ll just have like it’ll be linearly

394 00:31:14.680 ⇒ 00:31:19.520 Uttam Kumaran: cause that way when I run it. When we, the last column we’ll have is like the refund reason.

395 00:31:19.820 ⇒ 00:31:20.210 Jakob Kagel: Right.

396 00:31:20.210 ⇒ 00:31:23.050 Uttam Kumaran: Run that through. AI. I want to give it all the text.

397 00:31:23.050 ⇒ 00:31:29.589 Jakob Kagel: Right? Okay? So so, okay, so you’re saying to have one column that has all like the whole conversation.

398 00:31:29.810 ⇒ 00:31:32.950 Uttam Kumaran: I guess, like my question would be, is it helpful to know

399 00:31:33.310 ⇒ 00:31:36.319 Uttam Kumaran: that there were 5 messages like.

400 00:31:38.310 ⇒ 00:31:38.580 Jakob Kagel: Really.

401 00:31:38.580 ⇒ 00:31:39.960 Uttam Kumaran: November doesn’t matter.

402 00:31:39.960 ⇒ 00:31:43.590 Jakob Kagel: Yeah, not really. And yeah.

403 00:31:43.880 ⇒ 00:31:52.560 Jakob Kagel: yeah, I I don’t. I don’t think so. And I think actually, we can that with the number of messages we can already like we can calculate that based on the tables that we already have.

404 00:31:53.011 ⇒ 00:31:56.829 Jakob Kagel: More or less. I mean, if they’re you know. But

405 00:31:56.990 ⇒ 00:32:16.240 Jakob Kagel: yeah, I I I’m I’m for putting all the text into one column, because it makes it easy to like you can just say, like you know, contains whatever defective or broken. Or you know, whatever these like different keywords. And you know, basically do it off that or like, yeah, feed it into the AI or whatever.

406 00:32:16.735 ⇒ 00:32:20.379 Jakob Kagel: So yeah, I’m I’m in favor of that. Yeah.

407 00:32:22.180 ⇒ 00:32:24.790 Uttam Kumaran: Okay? 6. So that’s what I’m gonna do.

408 00:32:26.864 ⇒ 00:32:32.179 Uttam Kumaran: And then I’m also gonna provide the time between the creation and the completion.

409 00:32:34.040 ⇒ 00:32:36.710 Uttam Kumaran: That way you may be able to also look at

410 00:32:39.660 ⇒ 00:32:41.370 Uttam Kumaran: like stats on, like.

411 00:32:41.790 ⇒ 00:32:44.150 Uttam Kumaran: how long it’s taking for people to

412 00:32:44.430 ⇒ 00:32:47.640 Uttam Kumaran: complete these tickets based on refund reasons.

413 00:32:47.910 ⇒ 00:32:48.460 Jakob Kagel: Yeah.

414 00:32:48.460 ⇒ 00:32:51.069 Uttam Kumaran: Like it. For example, if someone like does a warranty.

415 00:32:51.360 ⇒ 00:32:54.630 Uttam Kumaran: it takes us like a week to process that versus like something else.

416 00:32:55.650 ⇒ 00:32:59.710 Uttam Kumaran: Just like I’ll just put a couple of interesting things in there, and that way

417 00:33:00.200 ⇒ 00:33:05.710 Uttam Kumaran: we just have it. But the main priority is to get everything I need over to Augustine to do the little AI thing.

418 00:33:06.100 ⇒ 00:33:07.120 Jakob Kagel: Sounds good sounds like.

419 00:33:07.120 ⇒ 00:33:08.690 Uttam Kumaran: Get out of refund world.

420 00:33:08.690 ⇒ 00:33:17.570 Jakob Kagel: Yeah, I mean, what’s he like? What’s he doing? Basically on the AI side? I mean, it’s like some built in like snowflake, like natural language, processing stuff, or like.

421 00:33:17.990 ⇒ 00:33:20.870 Uttam Kumaran: Yeah. So let me show you

422 00:33:22.850 ⇒ 00:33:24.116 Uttam Kumaran: It’s called

423 00:33:36.740 ⇒ 00:33:43.050 Jakob Kagel: Cause. I mean, yeah. Remember, they had some stuff at the event that we went into. That was basically like sentiment analysis.

424 00:33:43.050 ⇒ 00:33:48.933 Uttam Kumaran: Yeah. And I actually did. I did this at the other. And another event, I went to

425 00:33:50.020 ⇒ 00:33:53.329 Uttam Kumaran: I’m basically going to either do sentiment which

426 00:33:53.820 ⇒ 00:33:59.640 Uttam Kumaran: it’s just. There’s a positive or negative sentiment of a given text. So I’m gonna do a couple of things sentiment.

427 00:33:59.790 ⇒ 00:34:02.290 Uttam Kumaran: There is a summarization. But

428 00:34:04.590 ⇒ 00:34:06.479 Uttam Kumaran: It’s kind of like vague.

429 00:34:07.240 ⇒ 00:34:07.750 Jakob Kagel: Right.

430 00:34:07.750 ⇒ 00:34:11.870 Uttam Kumaran: It’s just like I kind of want me to give it more instructions.

431 00:34:12.487 ⇒ 00:34:15.522 Uttam Kumaran: The other thing I wanna try and do is

432 00:34:17.650 ⇒ 00:34:23.580 Uttam Kumaran: Is this? Which is, we’ll set up like a Gpu, basically. And then

433 00:34:23.969 ⇒ 00:34:25.944 Uttam Kumaran: I wanna try and call

434 00:34:27.360 ⇒ 00:34:28.940 Uttam Kumaran: where is it?

435 00:34:32.510 ⇒ 00:34:35.359 Uttam Kumaran: Yeah. So we’ll call something like this where?

436 00:34:36.739 ⇒ 00:34:38.420 Uttam Kumaran: we’ll pass in like.

437 00:34:38.670 ⇒ 00:34:41.199 Uttam Kumaran: we’ll write a function that basically says.

438 00:34:41.520 ⇒ 00:34:44.990 Uttam Kumaran: summarize like, one thing I want to do is like, I want to say.

439 00:34:45.560 ⇒ 00:34:48.360 Uttam Kumaran: like your job is to summarize

440 00:34:48.420 ⇒ 00:34:50.230 Uttam Kumaran: this ticket back and forth.

441 00:34:50.865 ⇒ 00:34:54.264 Uttam Kumaran: So actually here, let’s see, let’s even do an example. Can you send me

442 00:34:54.960 ⇒ 00:34:58.140 Uttam Kumaran: Can you slack me that that excel thing real quick.

443 00:34:58.490 ⇒ 00:34:59.539 Jakob Kagel: Yeah, hold on.

444 00:35:00.250 ⇒ 00:35:05.269 Uttam Kumaran: I’ll walk. Let’s walk through a chat. Gbt example, and then kind of see like ends up, how it’s gonna end up playing out.

445 00:35:13.710 ⇒ 00:35:15.459 Jakob Kagel: who? I just sent it over.

446 00:35:19.260 ⇒ 00:35:20.399 Uttam Kumaran: Okay, perfect.

447 00:35:25.220 ⇒ 00:35:28.050 Uttam Kumaran: Can I download this guy?

448 00:35:29.060 ⇒ 00:35:30.668 Jakob Kagel: Should be able to right.

449 00:35:30.990 ⇒ 00:35:31.580 Uttam Kumaran: Yeah.

450 00:35:36.220 ⇒ 00:35:37.479 Uttam Kumaran: okay,

451 00:35:40.350 ⇒ 00:35:41.920 Uttam Kumaran: let’s see.

452 00:35:43.820 ⇒ 00:35:45.680 Uttam Kumaran: So I’m gonna do something like

453 00:35:46.750 ⇒ 00:35:48.300 Uttam Kumaran: something like this.

454 00:36:47.290 ⇒ 00:36:50.839 Uttam Kumaran: So one, I’m just gonna ask you to create me a couple of these

455 00:36:50.960 ⇒ 00:36:52.250 Uttam Kumaran: categories.

456 00:36:52.400 ⇒ 00:36:54.359 Jakob Kagel: Alright. Shipping delivery. Okay.

457 00:36:55.320 ⇒ 00:36:59.270 Uttam Kumaran: Sick. So let’s just let’s just rip from these.

458 00:36:59.490 ⇒ 00:37:00.463 Uttam Kumaran: And then

459 00:37:01.990 ⇒ 00:37:06.950 Uttam Kumaran: one thing I’m gonna do now is I’m basically just gonna take this entire this.

460 00:37:08.030 ⇒ 00:37:10.040 Uttam Kumaran: I’m basically going to give it this.

461 00:37:15.940 ⇒ 00:37:16.350 Jakob Kagel: Absolutely.

462 00:37:16.350 ⇒ 00:37:17.440 Uttam Kumaran: Send it to it.

463 00:37:17.700 ⇒ 00:37:19.299 Jakob Kagel: See if we can relate it to us.

464 00:37:19.300 ⇒ 00:37:19.970 Uttam Kumaran: Sh!

465 00:37:24.010 ⇒ 00:37:27.830 Uttam Kumaran: Oh, it’s okay. So I should just look at each line. Okay? So I say.

466 00:37:28.140 ⇒ 00:37:28.480 Jakob Kagel: That is.

467 00:37:28.480 ⇒ 00:37:32.279 Uttam Kumaran: Each line is a message. In the

468 00:37:33.040 ⇒ 00:37:36.019 Uttam Kumaran: each line is a message in the

469 00:37:36.430 ⇒ 00:37:40.650 Uttam Kumaran: A back and forth thread between

470 00:37:41.000 ⇒ 00:37:44.099 Uttam Kumaran: customer service and the customer.

471 00:37:44.760 ⇒ 00:37:45.370 Uttam Kumaran: It’s not.

472 00:37:45.370 ⇒ 00:37:47.009 Jakob Kagel: But an individual ticket. Yeah.

473 00:37:47.010 ⇒ 00:37:49.610 Uttam Kumaran: Actually just one ticket.

474 00:37:56.250 ⇒ 00:37:57.160 Jakob Kagel: Hmm.

475 00:37:58.460 ⇒ 00:38:02.959 Jakob Kagel: it’s basically doing the same thing by calling them messages instead of tickets. Yeah.

476 00:38:06.400 ⇒ 00:38:09.520 Jakob Kagel: But then it gives you the overall classification. Yeah.

477 00:38:11.300 ⇒ 00:38:14.540 Jakob Kagel: But that’s like, yeah, we want like a single issue. But.

478 00:38:16.430 ⇒ 00:38:18.360 Uttam Kumaran: But you see, you kind of see what I mean like I wouldn’t.

479 00:38:18.360 ⇒ 00:38:18.990 Jakob Kagel: Difference there.

480 00:38:18.990 ⇒ 00:38:19.680 Uttam Kumaran: Likes

481 00:38:20.650 ⇒ 00:38:23.669 Uttam Kumaran: like, or even even this, like, I would say.

482 00:38:24.260 ⇒ 00:38:27.810 Uttam Kumaran: here is the entire email thread.

483 00:38:29.710 ⇒ 00:38:32.010 Uttam Kumaran: Classify this ticket.

484 00:38:45.160 ⇒ 00:38:47.020 Uttam Kumaran: What is Fedex? Please.

485 00:38:48.840 ⇒ 00:38:55.119 Jakob Kagel: I guess she was asking like they probably would like. Here’s the return, like what like shipping provider. Do you want the return.

486 00:38:56.430 ⇒ 00:38:57.220 Jakob Kagel: Don’t know.

487 00:38:58.900 ⇒ 00:38:59.670 Jakob Kagel: Let’s see.

488 00:38:59.670 ⇒ 00:39:00.510 Uttam Kumaran: Okay, there.

489 00:39:00.660 ⇒ 00:39:02.340 Jakob Kagel: The conversation pulled up.

490 00:39:03.660 ⇒ 00:39:10.519 Jakob Kagel: But yeah, this one also doesn’t have any of the yeah, exactly. Was just like, Do you want Fedex or ups prepaid label. Yeah.

491 00:39:15.330 ⇒ 00:39:16.360 Uttam Kumaran: Okay, where?

492 00:39:17.140 ⇒ 00:39:24.159 Uttam Kumaran: So what I would kind of present to the language model is, I would pre, we would present this as a prompt.

493 00:39:24.670 ⇒ 00:39:35.290 Uttam Kumaran: basically, your job is to classify this ticket into one of these. Here is the ticket. We dynamically give it the contents, and then it just outputs a single

494 00:39:35.620 ⇒ 00:39:36.470 Uttam Kumaran: thing.

495 00:39:36.680 ⇒ 00:39:39.930 Uttam Kumaran: So we basically say, like, you only output

496 00:39:40.130 ⇒ 00:39:41.740 Uttam Kumaran: like this.

497 00:39:42.040 ⇒ 00:39:42.490 Jakob Kagel: Right.

498 00:39:42.490 ⇒ 00:39:43.910 Uttam Kumaran: And that would become the new column.

499 00:39:44.130 ⇒ 00:39:45.230 Uttam Kumaran: Yeah, I mean.

500 00:39:45.230 ⇒ 00:39:51.642 Jakob Kagel: Fine. I mean, it’s it’s good with me, I mean, yeah, we just have to see like, how good these models are. Whatnot. But

501 00:39:52.250 ⇒ 00:39:56.000 Jakob Kagel: But I think, yeah, I mean, it’s better than what they have right now.

502 00:39:56.000 ⇒ 00:39:59.399 Uttam Kumaran: It’s better than nothing, and then what we would do is at least

503 00:39:59.920 ⇒ 00:40:01.020 Uttam Kumaran: we have, like

504 00:40:01.190 ⇒ 00:40:05.749 Uttam Kumaran: we can go through and backfill for all past tickets and have it running for future tickets. And then

505 00:40:07.280 ⇒ 00:40:15.200 Uttam Kumaran: as we get more categories, or basically, I could say, like, if you’re not confident, put into other, and then we’ll go look at them, the other ones.

506 00:40:15.250 ⇒ 00:40:16.819 Uttam Kumaran: and just kind of start from there.

507 00:40:17.000 ⇒ 00:40:18.758 Jakob Kagel: Sure. Yeah, no, for sure.

508 00:40:19.110 ⇒ 00:40:24.696 Uttam Kumaran: The other thing that you know that’d be sick is for us to like this would be actually like, really cool is, if they could

509 00:40:25.670 ⇒ 00:40:33.209 Uttam Kumaran: If on the customer service side, they could basically say, what are the tickets I need to work on today, and we’re able to prioritize it, based on

510 00:40:33.230 ⇒ 00:40:42.509 Uttam Kumaran: who they’re talking to and like potential opportunity for like, who’s the most important customer. And like, maybe these are the easiest problems to solve versus like things like that.

511 00:40:42.830 ⇒ 00:40:45.839 Uttam Kumaran: For example, if they’re dealing with a pool service pro.

512 00:40:46.080 ⇒ 00:40:49.589 Uttam Kumaran: they need attention like, do not fuck that up like, get them attention

513 00:40:49.860 ⇒ 00:40:52.219 Uttam Kumaran: versus if they’re dealing with like a brush order.

514 00:40:52.220 ⇒ 00:41:03.709 Jakob Kagel: Right? Exactly. I mean, that’s basically what I was saying is like the customer identity matters so much. If it’s like, you know, you need to know. Like, are you dealing with like a high value person or like whatever you know.

515 00:41:04.090 ⇒ 00:41:06.570 Jakob Kagel: See? Yeah, profit size. But yeah.

516 00:41:10.890 ⇒ 00:41:12.710 Uttam Kumaran: Okay. Cool.

517 00:41:12.710 ⇒ 00:41:18.249 Jakob Kagel: What do you wanna do like for the next steps? Kinda like with the Zendesk stuff? I mean.

518 00:41:18.260 ⇒ 00:41:32.109 Jakob Kagel: obviously, like we have to fix. You know the missing messages, and, like, you know, bring in the like all the text, but like as far as the communication with them like, should we do you want to send something to them like or.

519 00:41:32.110 ⇒ 00:41:36.420 Uttam Kumaran: So Nico is running them. Nico is running a meeting with them tomorrow.

520 00:41:36.580 ⇒ 00:41:36.980 Jakob Kagel: Okay.

521 00:41:37.316 ⇒ 00:41:38.999 Uttam Kumaran: And he’s basically taking over

522 00:41:39.020 ⇒ 00:41:44.230 Uttam Kumaran: like coms with them. I’m going to have him basically

523 00:41:44.280 ⇒ 00:41:45.490 Uttam Kumaran: review.

524 00:41:45.960 ⇒ 00:41:50.059 Uttam Kumaran: I’m gonna we’re actually meeting again tomorrow. I’m gonna make a decision on whether we need

525 00:41:50.933 ⇒ 00:41:52.580 Uttam Kumaran: you or

526 00:41:52.650 ⇒ 00:41:54.509 Uttam Kumaran: Patrick there tomorrow.

527 00:41:54.880 ⇒ 00:41:59.729 Uttam Kumaran: It may actually be helpful to have you on there, but I kind of want Nico to run the meeting, and then

528 00:42:00.270 ⇒ 00:42:05.049 Uttam Kumaran: we’re just beyond just to answer any. Follow up questions. So couple of things on the

529 00:42:05.530 ⇒ 00:42:08.960 Uttam Kumaran: on the refund side, I think.

530 00:42:10.400 ⇒ 00:42:12.510 Uttam Kumaran: basically, we’re going to be blocked by this.

531 00:42:12.770 ⇒ 00:42:13.150 Jakob Kagel: Right.

532 00:42:13.150 ⇒ 00:42:16.389 Uttam Kumaran: So we’re just gonna wait till we finish this to be able to do that.

533 00:42:16.460 ⇒ 00:42:20.123 Uttam Kumaran: The next step, analysis and kind of close out refunds.

534 00:42:20.950 ⇒ 00:42:24.830 Uttam Kumaran: So that would be ideal. The second thing is, we can

535 00:42:25.260 ⇒ 00:42:27.420 Uttam Kumaran: we have the intelligent stuff running.

536 00:42:27.910 ⇒ 00:42:29.679 Jakob Kagel: Right. I mean, I don’t know about.

537 00:42:29.680 ⇒ 00:42:30.280 Uttam Kumaran: That like.

538 00:42:30.280 ⇒ 00:42:39.249 Jakob Kagel: I see. But we can give them an update for sure on that. Yeah. So I had the meeting that I have with them like on Thursday. I mean, they’re basically saying

539 00:42:39.460 ⇒ 00:42:54.050 Jakob Kagel: needs to run minimum one week. I mean, I’m thinking, probably 4 to 6. It’s like pretty normal for Ab testing. And they want like at least 150 orders, which I think is cool. Yeah, look. I mean, we already have 50. So

540 00:42:54.547 ⇒ 00:43:23.170 Jakob Kagel: we should get there in the next couple of weeks. And then, basically with, like all their stat, they’re saying, they want to see like 80 to 90% confidence, and they gave me, like some documentation on that as well. I do have like another meeting like scheduled with them like they said they would do another meeting. Basically, it’s just like a follow up to do. Sort of, you know, if I had any more questions about the evaluation of the test in like 2 weeks or so. So

541 00:43:23.200 ⇒ 00:43:33.440 Jakob Kagel: basically, I’m gonna wait until we get to like a hundred 50 orders have the meeting with them. Just run through everything. Make sure everything is clear and whatnot. We can communicate everything.

542 00:43:33.920 ⇒ 00:43:34.560 Uttam Kumaran: Okay.

543 00:43:34.780 ⇒ 00:43:35.430 Jakob Kagel: But yeah.

544 00:43:35.430 ⇒ 00:43:45.559 Uttam Kumaran: So for the variable speed test. So one, yeah, I would say, don’t let them like, if if you’re good on stuff, just be like. Let’s cancel meetings until we need to. But.

545 00:43:45.560 ⇒ 00:43:53.890 Jakob Kagel: Sure. I mean, it’s more just like they’re, you know, they’re offering to do it, or whatever. So it’s like. Might as well just have it or whatnot. But yeah.

546 00:43:54.780 ⇒ 00:43:57.520 Uttam Kumaran: And then so where can I go? See what the

547 00:43:58.850 ⇒ 00:44:03.140 Uttam Kumaran: like? Where? Where can I go? See? Oh, I can go see? Set prices here. Okay.

548 00:44:03.280 ⇒ 00:44:09.079 Jakob Kagel: Yeah, what? Like? The different groups are, yeah. So you have, like, higher, lower and control group, yeah.

549 00:44:09.080 ⇒ 00:44:12.009 Uttam Kumaran: And are we doing? Is it just 10%? Or what is it.

550 00:44:12.290 ⇒ 00:44:13.010 Jakob Kagel: Yeah.

551 00:44:13.200 ⇒ 00:44:14.449 Jakob Kagel: I think so.

552 00:44:14.800 ⇒ 00:44:16.840 Uttam Kumaran: Okay? Great. Yeah, it looks like 90,

553 00:44:17.320 ⇒ 00:44:18.980 Uttam Kumaran: about 90.

554 00:44:20.550 ⇒ 00:44:21.820 Uttam Kumaran: 90 bucks.

555 00:44:22.210 ⇒ 00:44:24.340 Uttam Kumaran: Yeah, okay, cool. Yeah. 10%.

556 00:44:25.213 ⇒ 00:44:28.860 Uttam Kumaran: I mean, dude, like, I loved. How this fucking thing looks like

557 00:44:28.890 ⇒ 00:44:32.570 Uttam Kumaran: we’re getting good data. And like, I don’t know, you have to tell me, because you’ve

558 00:44:32.600 ⇒ 00:44:34.589 Uttam Kumaran: you’ve probably been closer to a b test, but

559 00:44:35.630 ⇒ 00:44:36.190 Jakob Kagel: Yeah.

560 00:44:36.190 ⇒ 00:44:40.410 Uttam Kumaran: Although it was a little bit painful like for both of them. We’re seeing pretty

561 00:44:40.620 ⇒ 00:44:45.404 Uttam Kumaran: like interesting results, cause I’ve just been looking at it, because it’s been fun to watch as this.

562 00:44:45.670 ⇒ 00:44:46.720 Jakob Kagel: Jeremy.

563 00:44:47.070 ⇒ 00:44:47.700 Uttam Kumaran: I mean, yeah.

564 00:44:47.700 ⇒ 00:44:50.830 Jakob Kagel: And like, yeah, probably wouldn’t read like too much into the results. And.

565 00:44:50.830 ⇒ 00:44:51.740 Uttam Kumaran: Yeah.

566 00:44:51.740 ⇒ 00:44:53.997 Jakob Kagel: Orders. That’s the only thing. But

567 00:44:54.800 ⇒ 00:44:59.490 Jakob Kagel: yes. So I think, yeah, we shouldn’t like, yeah. Tell them, or, like, you know, get 2 up.

568 00:44:59.490 ⇒ 00:45:00.740 Uttam Kumaran: No, no, no, yeah.

569 00:45:01.151 ⇒ 00:45:05.500 Uttam Kumaran: Obviously wanted to show that. Like, we’re running these, and we’re able to see metrics like.

570 00:45:05.640 ⇒ 00:45:06.160 Jakob Kagel: Sure. Yeah.

571 00:45:07.410 ⇒ 00:45:08.722 Uttam Kumaran: you know. But

572 00:45:09.740 ⇒ 00:45:11.180 Uttam Kumaran: kind of sick, like,

573 00:45:13.330 ⇒ 00:45:16.649 Uttam Kumaran: yeah, I think it’s. And both of the tests are showing like

574 00:45:16.930 ⇒ 00:45:19.239 Uttam Kumaran: we’re getting almost like double the orders.

575 00:45:19.670 ⇒ 00:45:20.490 Jakob Kagel: Right.

576 00:45:20.810 ⇒ 00:45:25.079 Uttam Kumaran: Like for for the brushes. We’re getting like, yeah, 31 orders compared to

577 00:45:25.460 ⇒ 00:45:26.810 Uttam Kumaran: just 11.

578 00:45:27.140 ⇒ 00:45:27.710 Jakob Kagel: Yeah.

579 00:45:28.660 ⇒ 00:45:30.580 Jakob Kagel: That’s pretty significant, for sure.

580 00:45:30.890 ⇒ 00:45:32.640 Uttam Kumaran: Yeah, so

581 00:45:32.910 ⇒ 00:45:35.359 Uttam Kumaran: this if this works, then.

582 00:45:35.460 ⇒ 00:45:46.269 Uttam Kumaran: yeah, we just pay for ourselves. Like, if we’re gonna be enabled with the pricing is so. And this is sick, because hopefully, like we next time we add another price test. We don’t have to go through a ton of more shopify stuff. But

583 00:45:46.888 ⇒ 00:45:49.469 Uttam Kumaran: I I mean, we test a lot of different things.

584 00:45:49.470 ⇒ 00:45:51.209 Jakob Kagel: Yeah, I’m just curious. But that’s up.

585 00:45:51.270 ⇒ 00:46:14.260 Jakob Kagel: I’ll put something in the test channel and just say, basically, like what I just said, where it’s like, Yeah, hey, we’re like, you know, first week, Ran, we’re like 50 orders, basically for each group, like, we want to have at least 150 before we’d like report out, or whatever. So we’re estimating, you know. Probably 3 more weeks or so, 3 to 4 weeks, probably for the test to run.

586 00:46:14.910 ⇒ 00:46:15.530 Uttam Kumaran: Okay.

587 00:46:16.180 ⇒ 00:46:17.280 Jakob Kagel: Sound good right.

588 00:46:17.480 ⇒ 00:46:21.644 Uttam Kumaran: Yeah, that’s perfect. The other thing is, I haven’t checked in with Kim in a while about

589 00:46:22.160 ⇒ 00:46:23.670 Uttam Kumaran: the dashboard.

590 00:46:24.370 ⇒ 00:46:26.390 Uttam Kumaran: I could have Nico follow up on that.

591 00:46:27.030 ⇒ 00:46:32.395 Jakob Kagel: It’s fine. I mean, we can do anything like yeah, that she wants us to do there as long as it’s within reason, you know.

592 00:46:32.610 ⇒ 00:46:37.040 Uttam Kumaran: Do you think we should set? You think I should have Nico just do a standing meeting with her?

593 00:46:37.330 ⇒ 00:46:38.610 Uttam Kumaran: And then, just like.

594 00:46:39.170 ⇒ 00:46:40.659 Jakob Kagel: If he has time. Yeah.

595 00:46:41.135 ⇒ 00:46:41.450 Jakob Kagel: yes.

596 00:46:41.450 ⇒ 00:46:42.359 Uttam Kumaran: Time, yes, time.

597 00:46:42.360 ⇒ 00:46:44.546 Jakob Kagel: Like, yeah, I mean, the thing is like,

598 00:46:46.020 ⇒ 00:47:00.717 Jakob Kagel: I mean, yeah, they could. I I don’t know. I mean, this is your call. Of course, I mean the communication piece is key but like at the same time, it’s like these people also, maybe not like I mean standing meeting. But maybe not every week or something. Maybe bi-weekly.

599 00:47:01.000 ⇒ 00:47:04.659 Uttam Kumaran: I just don’t want her to be sitting on problems because we haven’t been.

600 00:47:04.660 ⇒ 00:47:05.050 Jakob Kagel: Right.

601 00:47:05.440 ⇒ 00:47:08.440 Uttam Kumaran: Yeah, I also don’t want that to be on your plate like that’s his job right?

602 00:47:08.440 ⇒ 00:47:16.519 Jakob Kagel: Right, I mean no, for sure. I mean I don’t know. Every time I’m in it with her. I you know I tried to make it like as clear as possible. Basically like, Hey.

603 00:47:16.520 ⇒ 00:47:17.040 Uttam Kumaran: Cool and.

604 00:47:17.040 ⇒ 00:47:21.327 Jakob Kagel: Thing you want us to work on like. Just let us know. You know I mean

605 00:47:21.580 ⇒ 00:47:22.020 Uttam Kumaran: Cool.

606 00:47:22.020 ⇒ 00:47:29.209 Jakob Kagel: They’ll reach out to. But it’s like, yeah, these people at the end of the day. It’s like they’re just like everybody else like they don’t want to just be in meetings like kind of talking about nothing else.

607 00:47:29.210 ⇒ 00:47:29.990 Uttam Kumaran: Totally.

608 00:47:30.180 ⇒ 00:47:36.560 Jakob Kagel: So I don’t know we could. You could ask her. But yeah, I would say, like, I feel like bi-weekly might be good or something.

609 00:47:36.560 ⇒ 00:47:46.380 Uttam Kumaran: The other thing is, I I talked. We talked to Ben like a few weeks ago. He wanted us, or we talked to Dan, and Dan was like we should start running those direct mail things where we scrape

610 00:47:46.730 ⇒ 00:47:59.600 Uttam Kumaran: data and stuff. So there’s kind of a couple of loose ends that I want to close. So again. Also, I just want to introduce Nico to her and like everything is gonna go start going through Nico because he’s just gonna I want him to own the back and forth.

611 00:47:59.650 ⇒ 00:48:18.290 Uttam Kumaran: It’s actually, I think you, you’re really good at communicating like you’re you’re similar to me, and that like that. You could get thrown into a meeting and like handle it the rest of the team. It’s like, I just wanna make sure that if you if people aren’t comfortable with that, or if it’s like not if it’s just not working out, I want it to go through Nico.

612 00:48:18.300 ⇒ 00:48:25.810 Uttam Kumaran: I mean, even for you like. I don’t want you to have to be on the hook of like I met. And then I gather these requirements and the tickets got all that like

613 00:48:25.970 ⇒ 00:48:30.900 Uttam Kumaran: is, gonna get taken care of. I want you to show up. Be like we did this. We crushed it.

614 00:48:30.960 ⇒ 00:48:37.880 Uttam Kumaran: beautiful face. And then we like we like we get the next thing going, you know, like, that’s it. That’s the big thing.

615 00:48:38.050 ⇒ 00:48:48.990 Jakob Kagel: For sure. I mean hey, you know, just let me know exactly whatever you need me to do. Basically, I’ll I’ll do it. So I mean, I know we have sort of a lot of

616 00:48:49.000 ⇒ 00:48:56.079 Jakob Kagel: competing stuff, or whatever, and it’s like a lot of moving parts. But you know, I’m comfortable.

617 00:48:56.120 ⇒ 00:49:00.420 Jakob Kagel: you know, handling whatever. So it’s more just like, you know, you feel like

618 00:49:00.650 ⇒ 00:49:05.269 Jakob Kagel: that. We can work on as long as like you really feel like it’s worth our time. I mean, I definitely.

619 00:49:05.270 ⇒ 00:49:06.479 Uttam Kumaran: That’s the thing.

620 00:49:06.480 ⇒ 00:49:14.890 Jakob Kagel: Yeah, exactly. And I, that’s like, I think that’s the thing that you’re really good at, too, is like, not just doing like shit, just like for the hell of it. Kind.

621 00:49:14.890 ⇒ 00:49:15.510 Uttam Kumaran: Yeah. Boy.

622 00:49:15.510 ⇒ 00:49:18.510 Jakob Kagel: There’s a lot of analytics teams, and should just.

623 00:49:18.510 ⇒ 00:49:23.520 Uttam Kumaran: No, they make up work. Because again, yeah, you make up work, because, like.

624 00:49:23.810 ⇒ 00:49:24.700 Jakob Kagel: Yeah, you guys.

625 00:49:24.700 ⇒ 00:49:41.370 Uttam Kumaran: We don’t really either. The thing that’s really core to the business is like too hard or like it requires like process. Like, for example, if we need to. If we need to go, make a change on like how customer service working, I gotta go sit with Cody and his team and do that. That’s hard. But

626 00:49:41.610 ⇒ 00:49:51.659 Uttam Kumaran: like, if it’s if it’s gonna get us more money in the door or like, allow us to work more hours. Then I’m interested. But also, like we, we have 2 other clients that

627 00:49:52.080 ⇒ 00:50:03.760 Uttam Kumaran: we’re working on that may require some more analyst work. So the one thing I’m doing is like for all of our clients. Right now. We’re working more hours than we’re getting paid. The nice thing is

628 00:50:03.820 ⇒ 00:50:08.619 Uttam Kumaran: like it’s not the worst thing, but that’s what he goes here to kind of calibrate, which is like.

629 00:50:08.710 ⇒ 00:50:17.879 Uttam Kumaran: how many hours are we booking? And then how much are we doing? And then out of the stuff we are doing, what stuff they like really care about what stuff that like

630 00:50:18.490 ⇒ 00:50:21.350 Uttam Kumaran: is less of a priority. Second is figuring out.

631 00:50:21.640 ⇒ 00:50:24.820 Uttam Kumaran: okay, like, we have availability, this much availability.

632 00:50:24.960 ⇒ 00:50:27.800 Uttam Kumaran: I’m gonna go get us more clients. And so I have like 2

633 00:50:27.870 ⇒ 00:50:31.810 Uttam Kumaran: 2 folks that I’m kind of like following up with 2 3 companies that were kind of like

634 00:50:31.950 ⇒ 00:50:49.390 Uttam Kumaran: beginning to engage with. For like potential new work, and I’m able to understand, like, Okay, who? What is everybody’s timing. So that’ll be some of the stuff that Nico talks to everybody about, which is just like what’s general availability. How’s everyone feeling? And that’ll kind of get bubbled up to like, Okay, cool. When we go after new work.

635 00:50:49.750 ⇒ 00:50:56.900 Uttam Kumaran: I’ll scope out. Okay, cool. We do have time to do each of these things. And then also, for example, like, if you’re working on a bunch of analysis.

636 00:50:57.170 ⇒ 00:51:02.550 Uttam Kumaran: and I’m working much of models. And so and so this where we’re each working, probably like 4 or 5 HA day each.

637 00:51:03.048 ⇒ 00:51:11.940 Uttam Kumaran: you know. So then it’s understanding of like, Oh, hey, you’re actually we’re actually working 3 times more than we’re getting billed. I need to go have a conversation with them to say like, Hey, we’re only billing you

638 00:51:12.070 ⇒ 00:51:19.130 Uttam Kumaran: for this much. Either we need to lower, or you need to pay us. So those those are things that I just haven’t had the

639 00:51:19.530 ⇒ 00:51:24.539 Uttam Kumaran: like being able to sit back and kind of like watch to be able to do that.

640 00:51:24.810 ⇒ 00:51:47.670 Jakob Kagel: Yeah, definitely. I mean, I’d be. I’m with you on that. I mean, I think it’s kind of tricky, because, like ideally, I think. Probably your vision is to like in the future, like we get more clients or whatever it’s like, okay, we just set up like intelligence test for all them and like, do all the shit. Basically, you know, for all them as long as like, you know, that’s like what their needs are. And it’s like. If we do that, then it’s like

641 00:51:47.690 ⇒ 00:52:03.975 Jakob Kagel: we’re really trying to be more efficient kind of. And it’s like, I don’t know exactly about consulting and kind of like billing by hour and like, you know how it works or whatever. But we’re trying to do some kind of arbitrage, basically, like, you know, at the end of the day. It’s like we want to be more efficient. Kind of thing.

642 00:52:04.230 ⇒ 00:52:04.989 Uttam Kumaran: Yeah, we work.

643 00:52:04.990 ⇒ 00:52:07.670 Jakob Kagel: 5 h for 5 clients. It’s like we want.

644 00:52:07.670 ⇒ 00:52:08.390 Uttam Kumaran: Yes.

645 00:52:08.390 ⇒ 00:52:10.350 Jakob Kagel: Everything at once kind of so.

646 00:52:10.710 ⇒ 00:52:11.410 Uttam Kumaran: Correct.

647 00:52:11.410 ⇒ 00:52:16.479 Jakob Kagel: But is it like, basically, I mean, cause we never really talked about it in it? I mean, I don’t know. I’m just like trying to understand.

648 00:52:16.480 ⇒ 00:52:18.949 Uttam Kumaran: No, no, no. Ask. Ask. Yeah. I’ll share. Yeah.

649 00:52:18.950 ⇒ 00:52:40.290 Jakob Kagel: So we get the client. And then, like, we build the client base like, does the client know? Like like in the agreement? Basically, are you saying like, Okay, we have this, many people, and like this is their hourly rates. And like, this is how many hours like we estimate to bill kind of or like, do they give you like the money upfront? And then we basically have to, like.

650 00:52:40.380 ⇒ 00:52:43.419 Jakob Kagel: you know, take it out of that kind of or like, Yeah.

651 00:52:43.690 ⇒ 00:52:47.599 Uttam Kumaran: Yeah. So here’s how it works. So. And I’ll first talk about like.

652 00:52:47.920 ⇒ 00:52:59.430 Uttam Kumaran: I’ll just first explain what you already know, which is just like this is how like data works. And then I’ll kind of talk about how I thought about billing. So the one, the problem. So the one good thing about data is that

653 00:52:59.550 ⇒ 00:53:16.553 Uttam Kumaran: like it’s we’re, we are like technical people. So it’s not like web design. Where, like, you have to charge like 20 bucks an hour. Like, I wanna make sure that in any engagement we do with the company, basically like we either

654 00:53:17.030 ⇒ 00:53:18.150 Uttam Kumaran: we either

655 00:53:19.270 ⇒ 00:53:40.619 Uttam Kumaran: everything. The company makes money, and then I’m able to pay people as much as I can pay, basically. So where does the company money go? The company money goes for, like all of zoom, all of the software we need to do the company money goes for like the website content. And then the company money also goes to spending money on like sales, you know. Basically.

656 00:53:40.690 ⇒ 00:54:01.319 Uttam Kumaran: Then there’s some margin, basically, so that the company can have money like we start building a little bit of a cash reserve, and then the rest. The biggest expense is headcount. So how can I pay? So the my! My goal is like one. How can I price the best? So then I could pay for the best people. And then, second thing is like, that’s the margin, right? And so where? But where does the actual margin happen? Is that like

657 00:54:01.700 ⇒ 00:54:11.589 Uttam Kumaran: we’re doing, we’re able to bring on our level of expertise. And how fast we move. And that’s what allows us to charge our rates. The one thing I think a lot about is.

658 00:54:11.800 ⇒ 00:54:18.419 Uttam Kumaran: you’re right like, should we charge hourly versus a project basis? Should we do like you have like 10 HA week versus like

659 00:54:18.540 ⇒ 00:54:24.889 Uttam Kumaran: you have someone full time. Who do you have? So all those things are a little bit tough, because in Beta, as you know.

660 00:54:25.180 ⇒ 00:54:27.159 Uttam Kumaran: kind of don’t know until you’re in there

661 00:54:27.230 ⇒ 00:54:33.310 Uttam Kumaran: how the situation is like. So it’s hard for me to say, like one Zendesk model is, gonna be a 10 K.

662 00:54:33.640 ⇒ 00:54:35.360 Uttam Kumaran: I don’t know how to like. I don’t know.

663 00:54:35.360 ⇒ 00:54:37.890 Jakob Kagel: Yeah, I know that. I know that. And that’s kind of like.

664 00:54:37.890 ⇒ 00:54:38.420 Uttam Kumaran: I mean that.

665 00:54:38.420 ⇒ 00:54:39.119 Jakob Kagel: That’s my question.

666 00:54:39.120 ⇒ 00:54:45.609 Uttam Kumaran: And then what I try to do is like, yeah, I said, what I try to do is I I basically say, you guys have 20 HA week.

667 00:54:46.090 ⇒ 00:54:48.400 Uttam Kumaran: We’re gonna allocate the 20 h

668 00:54:48.450 ⇒ 00:54:49.650 Uttam Kumaran: to the work.

669 00:54:49.930 ⇒ 00:54:52.610 Uttam Kumaran: And we’re going to Bill at the end of the month

670 00:54:52.680 ⇒ 00:55:01.919 Uttam Kumaran: for all of our clients. Typically we we just Max that out. Because, as I said, we’re certainly working more than that and then

671 00:55:02.280 ⇒ 00:55:08.240 Uttam Kumaran: and then that spread is what I use to to basically get everyone paid ideally, what happens is.

672 00:55:08.360 ⇒ 00:55:15.679 Uttam Kumaran: and this is what happens in like when a consulting organization gets really large is that you have, like junior people over senior people.

673 00:55:15.740 ⇒ 00:55:19.920 Uttam Kumaran: their rates to clients are different, and then everybody’s usually like on salary.

674 00:55:20.300 ⇒ 00:55:40.139 Uttam Kumaran: Here it’s a little bit different, just because it’s a kind of a new business kind of just figuring out how we wanna do things that like I’m paying everybody kind of on a rate, and then the company charges a rate that’s a spread. Most of the spread is just going to pay for stuff and pay. Make sure everybody can get paid and then ideally, over time. I want to try to get everyone

675 00:55:40.140 ⇒ 00:56:00.330 Uttam Kumaran: more consistent. So that one you’re not like questioning how much money is gonna come in, but also that, like, I can begin to know that, like, okay, people are fully occupied with work. That’s that’s where the spread. So for pool parts. For example, we’re just billing. We’re billing an hourly rate, and we have a basket of hours per week.

676 00:56:00.632 ⇒ 00:56:01.600 Uttam Kumaran: And that’s what we’re.

677 00:56:01.600 ⇒ 00:56:12.069 Jakob Kagel: They know, basically like they know that they’re gonna get hit for 20 HA week, basically from like everybody like everybody, everybody is billing 20 h. Basically that works.

678 00:56:12.070 ⇒ 00:56:13.790 Uttam Kumaran: Yeah, yeah.

679 00:56:14.050 ⇒ 00:56:14.490 Jakob Kagel: Okay.

680 00:56:14.490 ⇒ 00:56:17.359 Uttam Kumaran: So. So. One thing that I want to figure out is.

681 00:56:17.360 ⇒ 00:56:23.739 Jakob Kagel: I was like hit them in the head for 20 HI mean, I definitely think I’m doing probably close to 20 h, or whatever. But you know.

682 00:56:23.740 ⇒ 00:56:24.969 Uttam Kumaran: So so this is what time.

683 00:56:24.970 ⇒ 00:56:32.129 Jakob Kagel: So our cash reserves. It’s different than if the client just has to fucking. Cut the check. And they’re making millions of dollars already, like, you know.

684 00:56:32.280 ⇒ 00:56:49.590 Uttam Kumaran: So here’s so here’s actually what’s happening. So we actually, Bill, we’re billing. So we are billing pool parts. And then the company pays everybody. So what you, Bill, the company actually isn’t what we’re billing that has nothing to do with what we’re billing the client. There are some consulting setups where it’s like

685 00:56:49.950 ⇒ 00:57:04.829 Uttam Kumaran: you, Bill, and it just goes directly to client. There’s a cut, and then it comes in this, in this situation it’s like companies paying you and then company is billing the client. And those are basically separated. 1 one thing, and then, for a couple of reasons, one is that, like

686 00:57:05.040 ⇒ 00:57:14.310 Uttam Kumaran: those contracts that I signed with them are just like things I signed last year. So there’s definitely some renegotiated. I need to do basically based on ours. Second thing is like.

687 00:57:14.820 ⇒ 00:57:19.220 Uttam Kumaran: we just need to figure out, okay, for example, like, if you have 10 h.

688 00:57:19.290 ⇒ 00:57:45.900 Uttam Kumaran: someone has 20 h, there’s like another 20 h. Okay? And if I build a client, if I build a client, how much of that is admin work like, for example, how much of that is internally Brainforge, how much of that is actual work for them? And then understanding. Okay, what can I, Bill? So ideally, what I want to do is basically say, cool. They really need more analysis. They really need your time on like running some of these tests. And they need someone to be running some data. This stuff.

689 00:57:46.230 ⇒ 00:57:54.800 Uttam Kumaran: I think they need 40 HA week. I’m gonna go to them and say, Hey, you need 40 HA week. Here’s how we’re thinking about allocating it right now we’re charging for 30.

690 00:57:54.900 ⇒ 00:57:56.499 Uttam Kumaran: Can we sign a new contract?

691 00:57:56.610 ⇒ 00:57:59.690 Uttam Kumaran: That’s what I want to do. And that’s like a recalibration.

692 00:57:59.860 ⇒ 00:58:09.309 Uttam Kumaran: I don’t wanna have to do that recalibration every month. But I do want that to continue to go up right like ideally, we continue to take on more work and deliver more.

693 00:58:09.310 ⇒ 00:58:09.990 Jakob Kagel: Yeah.

694 00:58:10.450 ⇒ 00:58:25.190 Jakob Kagel: no, for sure. Yeah, no. I mean, that’s good to know. I mean, I’m not tripping on the money at all. I mean, I I see the long vision like that you have. So I mean, you know, I was just curious kind of like, cause it’s good to know yeah, sort of like, help us to like

695 00:58:25.310 ⇒ 00:58:31.430 Jakob Kagel: going forward as we’d like, bring on more clients and stuff like, yeah, how are we gonna think about engaging with that.

696 00:58:31.430 ⇒ 00:58:42.520 Uttam Kumaran: Yeah. And like, so my, my kind of like thought on is one I told you like, I want to try to get more people in Austin ideally. Second is, I want to try to pay

697 00:58:42.910 ⇒ 00:58:46.500 Uttam Kumaran: like folks like you on the team who have a great expertise

698 00:58:46.520 ⇒ 00:58:50.629 Uttam Kumaran: not only pay more per hour. But get you more hours.

699 00:58:51.020 ⇒ 00:58:51.460 Jakob Kagel: Area.

700 00:58:51.460 ⇒ 00:58:56.909 Uttam Kumaran: Double double that hit. Second thing is also find out how we can train more people

701 00:58:57.140 ⇒ 00:58:59.599 Uttam Kumaran: whether they’re here in the Us. Or not.

702 00:58:59.790 ⇒ 00:59:09.240 Uttam Kumaran: So some of the reason why we’re able to do well is that because we have some folks that are out to the Us. The cost differences is really great, which means they can actually work a little bit more hours.

703 00:59:09.260 ⇒ 00:59:21.480 Uttam Kumaran: but, like the cost hit to the client is, is pretty negligible, which means we’re doing more for less. Ideally. It’s just that they get paid less. And then people get

704 00:59:21.760 ⇒ 00:59:27.240 Uttam Kumaran: like, there’s a bigger spread for the business. But it’s actually been really beneficial for us, because

705 00:59:27.390 ⇒ 00:59:31.539 Uttam Kumaran: I don’t have to worry about paying someone out to the Us. For 8 h.

706 00:59:31.680 ⇒ 00:59:33.419 Uttam Kumaran: But in the 8 h for them

707 00:59:33.450 ⇒ 00:59:36.480 Uttam Kumaran: is like, it’s actually not worth 8 h for someone in here.

708 00:59:36.727 ⇒ 01:00:01.730 Uttam Kumaran: But actually, I’m actually paying over for a lot of the folks like out to the us. They’re making really great money. So that’s some of the things we’re working on, too, is, I’m thinking about, how do we have like almost like a reserve team versus people that are customer facing. And then, for example, like, if you’re doing a lot of analysts, if you’re doing your work and there’s like work on your end that you don’t want to do. How can we get to people in a training pipeline to say, like, Hey, learn how to do evidence stuff. And I’m just gonna hand this to you

709 01:00:02.000 ⇒ 01:00:03.340 Uttam Kumaran: exactly. But see, that’s.

710 01:00:03.340 ⇒ 01:00:05.410 Jakob Kagel: I’m a I’m a good manager man. I’m I’m a good.

711 01:00:05.410 ⇒ 01:00:09.199 Uttam Kumaran: No, I know, I bet. No, I I’m so confident. But that’s.

712 01:00:09.200 ⇒ 01:00:09.580 Jakob Kagel: Yeah.

713 01:00:09.580 ⇒ 01:00:29.120 Uttam Kumaran: Is like, and I’m I’m actually there’s one intern that we talked to last week that I’m thinking about getting introduced. I got a couple of more intern profiles. Ideally, we like, get some of these guys that we know we can train to Frank. See, for example, do this, do the evidence side of things do the 80 20 on where we need to be spending our brain versus like.

714 01:00:29.130 ⇒ 01:00:35.870 Uttam Kumaran: it’s just work getting done. And then we do that. And that way we get more done. Clients get more for the money, and then

715 01:00:36.030 ⇒ 01:00:38.999 Uttam Kumaran: my job is like I wanted them to look at us like a steal.

716 01:00:39.010 ⇒ 01:00:49.200 Uttam Kumaran: They’re doing so much for us. That’s no brainer. We should give them a little bit more time, and then it gets to the point where it’s like cool. I could just go to a client and say, like, it’s a minimum 10 K retainer.

717 01:00:49.230 ⇒ 01:00:53.770 Uttam Kumaran: And you get Xyz and you don’t have. I don’t. We don’t have to worry about this like

718 01:00:54.231 ⇒ 01:00:59.500 Uttam Kumaran: billing kind of things. The the toughest part about billing hourly is is, it’s like

719 01:00:59.740 ⇒ 01:01:03.420 Uttam Kumaran: every month I have to send an invoice. It’s not like A.

720 01:01:03.570 ⇒ 01:01:09.189 Uttam Kumaran: It’s not just like an auto pay thing they can say like, we’re handing braid Fort 10 K.

721 01:01:09.340 ⇒ 01:01:11.560 Uttam Kumaran: Or 15 K or 20 KA month.

722 01:01:11.650 ⇒ 01:01:13.399 Uttam Kumaran: They just run data for us.

723 01:01:13.580 ⇒ 01:01:15.990 Uttam Kumaran: That’s what I would like to get to.

724 01:01:17.400 ⇒ 01:01:18.789 Uttam Kumaran: it’s hard because some of these.

725 01:01:18.790 ⇒ 01:01:19.170 Jakob Kagel: For that.

726 01:01:19.170 ⇒ 01:01:20.230 Uttam Kumaran: Don’t really know.

727 01:01:20.230 ⇒ 01:01:30.449 Jakob Kagel: Cause I mean to like I don’t know. I mean, you know. Help me help you like on the time sheets, or whatever I mean, like, Yeah, do we want it? Like, are we supposed to include, like our internal meetings, kind of like.

728 01:01:30.450 ⇒ 01:01:34.669 Uttam Kumaran: No, no, you you should include all the time you’re spending on Brainforge stuff.

729 01:01:34.670 ⇒ 01:01:35.110 Jakob Kagel: This, and.

730 01:01:35.110 ⇒ 01:01:36.920 Uttam Kumaran: Internal meetings or not. Yeah.

731 01:01:37.080 ⇒ 01:01:37.285 Jakob Kagel: Okay.

732 01:01:37.490 ⇒ 01:01:41.129 Uttam Kumaran: I’m just telling you what kind of long term I just want to get like

733 01:01:41.440 ⇒ 01:01:45.269 Uttam Kumaran: ideally long term. What I can to say is like

734 01:01:45.700 ⇒ 01:01:55.299 Uttam Kumaran: it would be nice if one is. Everybody’s full time, and and we don’t even we don’t have. Not only do we not have the money now, I think we’re just getting into the better project management structure where we can

735 01:01:55.320 ⇒ 01:02:01.719 Uttam Kumaran: figure out how much work can get allocated. Second is like, if everyone is full time. Then it’s like cool, you know, you’re gonna make

736 01:02:01.800 ⇒ 01:02:05.190 Uttam Kumaran: 4 or 5 K or whatever, and

737 01:02:05.410 ⇒ 01:02:08.259 Uttam Kumaran: like, you just have to work. You don’t have to worry about like

738 01:02:08.560 ⇒ 01:02:17.127 Uttam Kumaran: whether the work is like whether I’m spending an hour here an hour there like that’s what I want to kind of get out of, because it’s a lot of it’s a lot of

739 01:02:18.040 ⇒ 01:02:23.960 Uttam Kumaran: It’s a lot of cognitive effort for everybody to kind of keep track of that. Instead, I would just like to pay.

740 01:02:23.960 ⇒ 01:02:29.479 Jakob Kagel: Right. You have to always like, go back. And you’re like, Okay, how much do I spend on this? How much I spend on that? And it’s like.

741 01:02:29.480 ⇒ 01:02:39.040 Uttam Kumaran: And then what I what I would pre what I would prefer to do is like if there’s opportunities to just give up the variability. I would like to come out of a bonus basically to say, like, Hey.

742 01:02:39.080 ⇒ 01:02:50.379 Uttam Kumaran: we, we were aiming for this. We made this. I’m gonna give people like a flat flat rate bonus instead of having to say like, Okay, let me nudge you up like 5 bucks more an hour, and like this.

743 01:02:50.830 ⇒ 01:02:51.279 Jakob Kagel: It’s.

744 01:02:51.280 ⇒ 01:02:57.390 Uttam Kumaran: I want to give people consistency, and then I want to have the flexibility to give money back with the custom. When the company is making money.

745 01:02:57.827 ⇒ 01:03:00.799 Uttam Kumaran: The biggest, the biggest risk of the company is that

746 01:03:00.860 ⇒ 01:03:04.679 Uttam Kumaran: like, I wanna make sure that we have 6 months of cash available

747 01:03:04.780 ⇒ 01:03:06.900 Uttam Kumaran: for our expenses, so that

748 01:03:06.940 ⇒ 01:03:08.820 Uttam Kumaran: if everything fails

749 01:03:08.840 ⇒ 01:03:19.160 Uttam Kumaran: we can keep running. Second thing is, I wanna go get more lucrative contract so that I can begin to get the monthly payroll thing more consistent like I can just say, Hey.

750 01:03:19.200 ⇒ 01:03:22.140 Uttam Kumaran: you’ve roughly been working like 20 HA week.

751 01:03:22.270 ⇒ 01:03:26.020 Uttam Kumaran: like would you be? I’ll just give you an offer for like this much a month.

752 01:03:26.130 ⇒ 01:03:29.259 Uttam Kumaran: And we just basically run with that until we hit another like

753 01:03:29.450 ⇒ 01:03:32.400 Uttam Kumaran: until you’re like, Hey, I’m actually been working like 30 or 40

754 01:03:32.821 ⇒ 01:03:39.820 Uttam Kumaran: and we kind of go from there even longer term. I’m trying to think about, how do I get people involved in like expanding. For example, if I’m like.

755 01:03:39.860 ⇒ 01:03:41.899 Uttam Kumaran: Hey, you’ve done a really great job. And like

756 01:03:41.920 ⇒ 01:03:43.480 Uttam Kumaran: expanding this like

757 01:03:43.810 ⇒ 01:03:49.559 Uttam Kumaran: client, and we’re doing more work from them. Expand our hours. There’s an ability to incentivize for that.

758 01:03:49.740 ⇒ 01:03:51.330 Uttam Kumaran: So it’s just like, how do I get?

759 01:03:51.460 ⇒ 01:03:54.569 Uttam Kumaran: How do I get everybody aligned to like getting new clients

760 01:03:55.100 ⇒ 01:03:57.860 Uttam Kumaran: doing great work for clients and expanding folks.

761 01:03:57.950 ⇒ 01:04:01.959 Uttam Kumaran: And then, like, how do I run the business lean enough

762 01:04:02.240 ⇒ 01:04:05.320 Uttam Kumaran: so that I can just pay everybody as much as I can basically.

763 01:04:05.320 ⇒ 01:04:07.770 Jakob Kagel: Got a lot on your plate for sure, but I believe.

764 01:04:08.120 ⇒ 01:04:14.789 Uttam Kumaran: No, it’s not. I don’t know, man, I just like I wanna do right by everybody. And I

765 01:04:15.470 ⇒ 01:04:15.869 Jakob Kagel: Yeah, I mean.

766 01:04:15.870 ⇒ 01:04:17.339 Uttam Kumaran: Really think that like, hey?

767 01:04:17.340 ⇒ 01:04:27.742 Jakob Kagel: Yeah, definitely. I mean, I think that’s great. I mean, I think, yeah, at the end of the day, probably, like, I don’t know. We’ll have some rough parts. I don’t know. It’s gonna happen like you know, where we probably.

768 01:04:27.990 ⇒ 01:04:50.659 Uttam Kumaran: It’s also it’s also like again, I want the people who are gonna be like, for example, I really think, like you’re you’re doing great. And in your stack of data, which is like analysis, right? And so it’s like, Okay, cool. How can I support you to make sure that you’re doing the work that you’re great at. And there’s a Venn diagram of work you’re great at and like work that needs to happen, which is like stuff you need to be doing or not.

769 01:04:50.660 ⇒ 01:04:51.690 Jakob Kagel: How do I support you with like.

770 01:04:51.690 ⇒ 01:04:56.089 Uttam Kumaran: People that cheaper talent, or people that are like can do this stuff that’s like a little bit like.

771 01:04:56.250 ⇒ 01:04:57.939 Uttam Kumaran: Yeah, I don’t want to be doing that

772 01:04:58.020 ⇒ 01:05:14.440 Uttam Kumaran: company has, like a basic task force to handle communication project management. Maybe, like some small data modeling or evidence tweaks. Right? So then, again. Our number one focus is on getting output to clients getting analysis to clients like churning that shit out. You know.

773 01:05:14.440 ⇒ 01:05:33.899 Jakob Kagel: Yeah, I mean, like, I said, I mean, I’m willing to do whatever like, you know, so is as long as you think that it’s like worth the time. And like, you know, that it’s a good use of our resources like for me to work on. I’ll work on whatever it doesn’t matter like really, if I know how to do it or not, like, you know, I mean honestly how I got to, how I will help, where I am in data.

774 01:05:33.900 ⇒ 01:05:35.129 Uttam Kumaran: Yeah, yeah, yeah, yeah.

775 01:05:35.130 ⇒ 01:05:36.310 Jakob Kagel: I’ll taught myself everything.

776 01:05:36.310 ⇒ 01:05:40.369 Uttam Kumaran: Oh, that’s how all this is. That’s how that’s always this is. It’s gonna be like that where we’re like.

777 01:05:40.370 ⇒ 01:05:41.429 Jakob Kagel: Yeah, I wouldn’t know.

778 01:05:41.430 ⇒ 01:05:42.560 Uttam Kumaran: Anything about this industry, where.

779 01:05:42.560 ⇒ 01:05:45.759 Jakob Kagel: I went to business school dude. I don’t even have a degree in it like you know.

780 01:05:45.760 ⇒ 01:05:46.599 Uttam Kumaran: I took. Yeah.

781 01:05:46.600 ⇒ 01:05:53.010 Jakob Kagel: 10 super class in college or something. And like, I taught myself everything basically. And like.

782 01:05:53.110 ⇒ 01:05:58.259 Jakob Kagel: yeah, when they come to be like, whatever like, can you manage the team or whatever I’m like, yeah, I can finish it to you. So like.

783 01:05:58.260 ⇒ 01:05:59.250 Uttam Kumaran: Yeah, yeah, yeah.

784 01:05:59.250 ⇒ 01:05:59.780 Jakob Kagel: Figure it out.

785 01:05:59.780 ⇒ 01:06:10.439 Uttam Kumaran: But that’s the attitude. It’s like you figure it out, and that’s why, for all of our clients I’m like, don’t I? That’s why, even when I go to clients, I try not to be so like we do data for you. For example, asset Link.

786 01:06:10.480 ⇒ 01:06:15.760 Uttam Kumaran: like one of the clients today. The other day they were like, Hey, can you help us put together like

787 01:06:15.820 ⇒ 01:06:18.002 Uttam Kumaran: a slide for

788 01:06:18.820 ⇒ 01:06:29.360 Uttam Kumaran: data like they have their. They have an enterprise deck they’re using. They’re like, Can you put data on a slide? And they gave me like an hour. And I was like, just put 2 charts on there. But then I was in a meeting with them. I was like, yo, this looks like ass.

789 01:06:29.520 ⇒ 01:06:31.100 Uttam Kumaran: I want to call

790 01:06:31.932 ⇒ 01:06:40.030 Uttam Kumaran: I wanna call my friend that did that did our website. And she’s a good friend of mine, and I’m just gonna ask her for a favor. I’m gonna say, Hey.

791 01:06:40.451 ⇒ 01:06:45.669 Uttam Kumaran: their deck is like absolute trash. I got asked to do

792 01:06:45.790 ⇒ 01:06:49.869 Uttam Kumaran: a better version of this. I’m basically gonna handle this and say, like.

793 01:06:49.890 ⇒ 01:06:55.550 Uttam Kumaran: can you make like a better version that she’ll spend an hour to look sick. And I’m gonna introver to them and just say, like.

794 01:06:56.000 ⇒ 01:07:02.880 Uttam Kumaran: Yeah, she’s great. She has a design agency work. So like, I’m not. Other other data companies would be like, we don’t do that.

795 01:07:03.375 ⇒ 01:07:11.920 Uttam Kumaran: We don’t do decks. Yo, I’m gonna put this shit on a fucking deck like. So it’s like, not that bad. But I wanna make sure like

796 01:07:12.080 ⇒ 01:07:28.249 Uttam Kumaran: we’re not a deck company. So I’m gonna do this once. And then I’m gonna say, my friend does decks for people all the time go talk to her. I just asked her to do this, and so, like I wanna be open to like even the intelligence AV testing stuff like I never done AV testing. But I was like, Okay, I mean, let’s

797 01:07:28.510 ⇒ 01:07:31.719 Uttam Kumaran: who’s gonna do it. They don’t have anybody super technical that can like.

798 01:07:32.110 ⇒ 01:07:36.279 Uttam Kumaran: do like manage between doing those parts of like. We’ll figure it out. We’ll run it.

799 01:07:36.320 ⇒ 01:07:43.669 Uttam Kumaran: and then we’ll make. We’ll we’ll charge you for it like that’s it. If you don’t have somebody we’ll do it, and that’s how I think about everything like if you don’t have somebody, we’ll figure out

800 01:07:43.860 ⇒ 01:07:46.019 Uttam Kumaran: how to get it done like I wanna be that.

801 01:07:46.020 ⇒ 01:07:46.600 Jakob Kagel: And.

802 01:07:46.600 ⇒ 01:07:47.839 Uttam Kumaran: I want to be that for people.

803 01:07:48.180 ⇒ 01:07:55.379 Jakob Kagel: Yeah, that’s how you become sticky for sure. I mean, yeah, shit. I’ll make some decks. I don’t care. I make a lot of decks at my job. I mean.

804 01:07:56.110 ⇒ 01:07:56.929 Jakob Kagel: I mean, I’m not having.

805 01:07:56.930 ⇒ 01:07:57.959 Uttam Kumaran: I you know.

806 01:07:57.960 ⇒ 01:07:59.029 Jakob Kagel: Yeah, funny little bit of. But.

807 01:07:59.030 ⇒ 01:08:00.540 Uttam Kumaran: Pain.

808 01:08:00.540 ⇒ 01:08:12.289 Jakob Kagel: Like Home Depot. They’re so like, do my manager, like my boss, like she’s senior manager, or whatever like do. She used to be on my ass like when I started about like the formatting on the decks like crazy like.

809 01:08:12.290 ⇒ 01:08:17.600 Uttam Kumaran: Oh, dude! I want, you know you know what I had. One of the first things I got created for us was a deck template.

810 01:08:18.040 ⇒ 01:08:19.380 Jakob Kagel: Oh, that’s great. Yeah.

811 01:08:19.569 ⇒ 01:08:22.439 Uttam Kumaran: We haven’t had to use it, because I don’t. We don’t do many like.

812 01:08:22.729 ⇒ 01:08:26.549 Uttam Kumaran: you know. We don’t do like really like decks here, but I’ll kind of show you what I.

813 01:08:26.729 ⇒ 01:08:27.239 Jakob Kagel: I mean, we could.

814 01:08:27.240 ⇒ 01:08:27.850 Uttam Kumaran: And a cat.

815 01:08:27.859 ⇒ 01:08:38.229 Jakob Kagel: I mean, I don’t know. I don’t want to do like I. Personally, I don’t actually like making decks like that. I mean, I’m I’m decent at it for sure. But like I’m like we could do like a quarterly like update with the client or something. We’re like.

816 01:08:38.229 ⇒ 01:08:40.809 Uttam Kumaran: No, yeah, like this is, this is a this.

817 01:08:41.189 ⇒ 01:08:43.969 Uttam Kumaran: this is a deck we put together for, like a client

818 01:08:44.079 ⇒ 01:08:44.579 Uttam Kumaran: like.

819 01:08:44.580 ⇒ 01:09:05.640 Jakob Kagel: I mean, it’s good if you do one of these updates like, yeah, like, once once a month, or once a quarter or some shit where you’re like, hey, like, just remember, this is all the shit that we did for y’all. And this is all the key findings, basically like here we did warranty. We did refund. We did, you know, whatever pipeline enhancements we did, you know, whatever whatever. And it’s like, yeah, I don’t know. Maybe that’s.

820 01:09:05.649 ⇒ 01:09:09.149 Uttam Kumaran: I wanna basically show, I wanna basically hit them over the head with like.

821 01:09:09.546 ⇒ 01:09:13.589 Uttam Kumaran: we’re the best of what we do. And we’ve done so much

822 01:09:13.999 ⇒ 01:09:17.859 Uttam Kumaran: and like we’re well worth what we’re charging

823 01:09:17.979 ⇒ 01:09:23.799 Uttam Kumaran: right. And I want to hit him over the head with that. And again, a lot of that is actually communication. It’s actually not like

824 01:09:24.049 ⇒ 01:09:34.319 Uttam Kumaran: a lot. It’s actually like, it’s split between data working Comms is crazy consulting compared to internally. I feel like when I was in the company. It’s mostly data work. And there’s like little bit of communication.

825 01:09:34.379 ⇒ 01:09:35.669 Uttam Kumaran: This is like

826 01:09:36.059 ⇒ 01:09:38.119 Uttam Kumaran: 30 40% comms.

827 01:09:38.539 ⇒ 01:09:42.239 Uttam Kumaran: like 60% data work. And it’s like back and forth. But

828 01:09:42.489 ⇒ 01:09:48.459 Uttam Kumaran: I agree it’s like your internal team is gonna be producing decks isn’t gonna really be like, we’ll do whatever you say.

829 01:09:48.870 ⇒ 01:09:49.700 Jakob Kagel: Yeah, like, right.

830 01:09:49.700 ⇒ 01:09:51.679 Uttam Kumaran: So 9 terms and be like I don’t know how to do that.

831 01:09:52.100 ⇒ 01:09:55.719 Jakob Kagel: The dynamics tricky like in in consulting versus like

832 01:09:55.840 ⇒ 01:10:09.529 Jakob Kagel: working at like home depot, or something like the politics and stuff cause like with the consulting. It’s like, Yeah, you kinda have to be like, you know, just doing, you know, whatever the client like asks or whatever, and like home depot and stuff. It’s a lot of like

833 01:10:09.570 ⇒ 01:10:22.430 Jakob Kagel: trying to figure out like, what is the actual high value projects. And then basically saying, No, to like anything else like, you know what I’m saying, that people trying to get us to work on, or whatever it’s like we’re like, no like we’re not gonna do that like that.

834 01:10:22.430 ⇒ 01:10:29.669 Uttam Kumaran: Well, that was the thing is because I want us. So every additional hour we work I want us to get paid. So it is a linear. It’s a linear relationship. It’s like

835 01:10:29.940 ⇒ 01:10:34.799 Uttam Kumaran: we’re doing good work. And we get more work. And we get more money. And it’s like, that’s this, that’s the cycle

836 01:10:34.910 ⇒ 01:10:36.160 Uttam Kumaran: that I want to get us in.

837 01:10:36.160 ⇒ 01:10:43.409 Jakob Kagel: Like, we get more experience kind of doing these, like, you know, type of things. For, like these type of companies, or whatever where it’s like.

838 01:10:43.410 ⇒ 01:10:44.210 Uttam Kumaran: Yeah.

839 01:10:44.210 ⇒ 01:10:45.701 Jakob Kagel: Problem before. Like, you know.

840 01:10:46.000 ⇒ 01:10:47.583 Uttam Kumaran: Thing is like if it costs us.

841 01:10:47.995 ⇒ 01:10:51.150 Jakob Kagel: Or we can use the template like. It’s probably there are probably other companies that you know.

842 01:10:51.150 ⇒ 01:11:01.509 Uttam Kumaran: If we go. If we have another shopify client, we use the same sequel, and the other thing is like, if it right now it takes you 3 h to produce something in evidence. My question is going to be.

843 01:11:01.560 ⇒ 01:11:07.210 Uttam Kumaran: what do we need to automate or give away for you to do that in 1 h, so that we get more efficient

844 01:11:07.230 ⇒ 01:11:12.650 Uttam Kumaran: so that you can put out. You could put out 3 in an hour, and then there’s nobody that could do that.

845 01:11:12.650 ⇒ 01:11:13.060 Jakob Kagel: Writing.

846 01:11:13.060 ⇒ 01:11:24.260 Uttam Kumaran: Right like I wanna make. I wanna make it seem like if you go shop around. And you’re like I talked to Braidforce. They said they could do 10 of those in 2 weeks, and you’re saying it’ll take you 4 weeks to do one dashboard.

847 01:11:24.260 ⇒ 01:11:24.840 Jakob Kagel: You know.

848 01:11:24.840 ⇒ 01:11:28.949 Uttam Kumaran: That’s that’s like, you know, that’s that’s what we’re talking about. Like.

849 01:11:29.080 ⇒ 01:11:44.730 Uttam Kumaran: It’s got 10 more features. It’s like equivalent in price. And they’re way nicer fucking no brainer. So that’s the thing about like the platform side of things like I, wanna I wanna be using the best tools. I wanna make sure that we can use the tools very fast.

850 01:11:44.760 ⇒ 01:11:51.289 Uttam Kumaran: and that, like the people on the team that are really really good. I want to boost them to just be working on the most important shit.

851 01:11:51.550 ⇒ 01:11:58.510 Uttam Kumaran: because then it’ll it’ll come across the clients that, like there’s nobody else. There’s no other consulting firm that will be able to work this fast.

852 01:11:58.610 ⇒ 01:12:05.129 Uttam Kumaran: and that’s that’s our Mo, and then then it’s our. The only thing it’s stopping us is to get in front of people. And so.

853 01:12:05.630 ⇒ 01:12:08.310 Jakob Kagel: Alright! Let’s do it. Let’s do it. I’m solid.

854 01:12:11.060 ⇒ 01:12:19.839 Uttam Kumaran: That was your sold. And then, like, Yeah, now, the next thing is that just go out and meet people. But we’re working on. We I got an intro to herself. Actually he heard of herself.

855 01:12:20.110 ⇒ 01:12:21.499 Jakob Kagel: No, I’ve never heard of it.

856 01:12:22.580 ⇒ 01:12:29.827 Uttam Kumaran: Vercel is like this, really big, like tech company. They’re kind of big right now. They do like deployments and like hosting for

857 01:12:30.470 ⇒ 01:12:31.135 Uttam Kumaran: like.

858 01:12:33.090 ⇒ 01:12:36.200 Uttam Kumaran: just like it’s like VRIC l ce.

859 01:12:36.210 ⇒ 01:12:38.549 Uttam Kumaran: They do deployments hosting for like back end

860 01:12:39.128 ⇒ 01:12:41.469 Uttam Kumaran: and like back end frameworks

861 01:12:41.822 ⇒ 01:12:45.098 Uttam Kumaran: like cloud hosting years, and then I got I got a intro to

862 01:12:45.400 ⇒ 01:12:47.252 Uttam Kumaran: This company called

863 01:12:48.760 ⇒ 01:12:56.969 Jakob Kagel: How do you like how do you sort of like source the clients right now, like is it all like Linkedin? Kind of, or like people in person, both.

864 01:12:56.970 ⇒ 01:12:58.780 Uttam Kumaran: Oh, like Vercell.

865 01:12:58.940 ⇒ 01:13:01.529 Uttam Kumaran: I’m in a slack group, with like

866 01:13:01.900 ⇒ 01:13:03.740 Uttam Kumaran: friends of friends.

867 01:13:04.360 ⇒ 01:13:08.619 Uttam Kumaran: like a friend of a friend of mine, and they’re come for sell people in that.

868 01:13:09.056 ⇒ 01:13:16.940 Uttam Kumaran: And then someone there hit me up was like, Don’t you do data shit? And I was like, Yeah, he’s like, Oh, I work at Vercell, and like my Vp. Of marketing

869 01:13:16.960 ⇒ 01:13:18.210 Uttam Kumaran: these data shit.

870 01:13:18.590 ⇒ 01:13:22.590 Uttam Kumaran: And then I was like Michelle, I’m down. And then this company.

871 01:13:22.740 ⇒ 01:13:24.000 Jakob Kagel: Hurry you showed me this moment.

872 01:13:24.000 ⇒ 01:13:30.230 Uttam Kumaran: These guys I met this guy dinner I met. I went to like a My friend works for next coast ventures. It’s like a Vc. Firm.

873 01:13:30.760 ⇒ 01:13:33.890 Uttam Kumaran: They’re like, you know, where no comply skate shop is.

874 01:13:34.960 ⇒ 01:13:36.379 Jakob Kagel: No, it’s in Austin.

875 01:13:36.660 ⇒ 01:13:39.710 Uttam Kumaran: Yeah, it’s like on New Ways street, like, kind of near the capital.

876 01:13:39.710 ⇒ 01:13:42.689 Jakob Kagel: Most it’s like more by campus, kinda like.

877 01:13:42.690 ⇒ 01:13:44.969 Uttam Kumaran: Yeah. Kindly, yeah, yeah, yeah. Yeah. Yeah.

878 01:13:45.608 ⇒ 01:14:01.349 Uttam Kumaran: I. They. He’s a friend of mine that works there. I met him at a conference in town. I talked to him a bunch. He and his BC. Firm was having a dinner. I went. The guy sitting next to me is like a product manager at this company. I was talking about the shipping shit we did for pool parts.

879 01:14:01.450 ⇒ 01:14:08.344 Uttam Kumaran: and he’s like, Oh, fuck that we’re like doing a similar problem. He’s like, so these guys are like it. They’re like a Uber for

880 01:14:09.220 ⇒ 01:14:18.020 Uttam Kumaran: last mile construction equipment delivery. And they have a problem where they’re trying to optimize how many shipments they can get on a pallet.

881 01:14:18.080 ⇒ 01:14:27.359 Uttam Kumaran: So basically, they they offer to their clients like, Hey, we have like drivers and trucks available. You just come in and put in an order into Curry. Tell us the link with height

882 01:14:27.400 ⇒ 01:14:32.619 Uttam Kumaran: and the wait, and we’ll assign a truck and a driver to go drive it to wherever you need to go.

883 01:14:32.840 ⇒ 01:14:34.949 Uttam Kumaran: Their problem is, they need help

884 01:14:35.080 ⇒ 01:14:39.580 Uttam Kumaran: maximizing the length with the dimension. The volume of their trucks

885 01:14:39.610 ⇒ 01:14:40.640 Uttam Kumaran: with like

886 01:14:40.950 ⇒ 01:14:43.250 Uttam Kumaran: the input asks from clients.

887 01:14:43.565 ⇒ 01:14:52.339 Uttam Kumaran: cause, basically, they wanna give the best truck to the best client that gets the most efficiency. And if a driver is doing multiple trips. You can get multiple clients on one truck.

888 01:14:52.560 ⇒ 01:14:53.300 Jakob Kagel: Sure. So the.

889 01:14:53.300 ⇒ 01:14:56.519 Uttam Kumaran: So the driver should go to like this customer, this customer, this customer.

890 01:14:56.760 ⇒ 01:15:02.210 Uttam Kumaran: They have enough space in their truck to go do the delivery instead of like one box to one truck.

891 01:15:02.640 ⇒ 01:15:05.210 Uttam Kumaran: That’s the problem. The problem that he’s owning.

892 01:15:05.642 ⇒ 01:15:07.130 Uttam Kumaran: His thing is that

893 01:15:07.470 ⇒ 01:15:10.549 Uttam Kumaran: for each box they actually just get.

894 01:15:10.590 ⇒ 01:15:13.150 Uttam Kumaran: They get told what the product is. They’re shipping.

895 01:15:13.180 ⇒ 01:15:14.270 Uttam Kumaran: And he’s like

896 01:15:14.570 ⇒ 01:15:18.440 Uttam Kumaran: from the different from the different vendors we need to get there

897 01:15:18.450 ⇒ 01:15:20.229 Uttam Kumaran: linked with and heightened dimensions.

898 01:15:20.270 ⇒ 01:15:29.910 Uttam Kumaran: And he’s like, can you guys help us with that? Basically. And I’m like, yeah, for for pool parts, we work directly with, like their data to get the light with height. And then.

899 01:15:29.970 ⇒ 01:15:36.350 Uttam Kumaran: basically, we already calculate, like, how much it cost to ship everything I’m like this seems like if you give us the data we can. And you give us

900 01:15:36.360 ⇒ 01:15:39.840 Uttam Kumaran: available inventory for trucks. Sure, we can probably help you work on that.

901 01:15:39.920 ⇒ 01:15:46.480 Uttam Kumaran: And that was like I just had dinner with him, basically. And I was like, Call me. And so I had an intro call. And then, yeah, so

902 01:15:46.510 ⇒ 01:15:49.870 Uttam Kumaran: the the nice thing so far is, I haven’t had to do a ton of sales.

903 01:15:49.910 ⇒ 01:15:55.410 Uttam Kumaran: The promise is unreliable, like I don’t know when that fucking like I don’t know when my next time someone’s gonna call me.

904 01:15:55.410 ⇒ 01:15:58.850 Jakob Kagel: Guys gonna call back and say, like, Yeah, exactly.

905 01:15:58.850 ⇒ 01:16:02.959 Uttam Kumaran: Or more like I don’t know. The next time out of the blue someone’s gonna hit me and be like I need help.

906 01:16:03.511 ⇒ 01:16:09.540 Uttam Kumaran: So instead. That’s why I tried to get the website done trying to get case studies. And I’m also basically trying to get my time freed.

907 01:16:09.610 ⇒ 01:16:13.740 Uttam Kumaran: So I could just go chat with people. And basically be like, yeah, we did 10 of these things

908 01:16:13.760 ⇒ 01:16:16.670 Uttam Kumaran: call us, let’s scope it out. And let’s start.

909 01:16:16.970 ⇒ 01:16:20.644 Jakob Kagel: Yeah, I mean, we definitely have to keep like our relationship. Good with pool parts.

910 01:16:20.890 ⇒ 01:16:21.700 Uttam Kumaran: Yeah.

911 01:16:21.700 ⇒ 01:16:36.120 Jakob Kagel: Other clients and stuff. But yeah, I mean, I think it is going. Well, I mean, I think we’re doing doing. Yeah, exactly. I mean, just keep, you know Kirby smart like the Georgia football coach.

912 01:16:36.320 ⇒ 01:16:39.490 Jakob Kagel: He always says his saying is like, Keep chopping wood.

913 01:16:39.740 ⇒ 01:16:40.480 Jakob Kagel: but.

914 01:16:40.480 ⇒ 01:16:42.610 Uttam Kumaran: Surprising. Yes, keep chopping wood.

915 01:16:42.610 ⇒ 01:16:43.760 Jakob Kagel: And then make sure that.

916 01:16:43.760 ⇒ 01:16:47.660 Uttam Kumaran: Like we. We’re talking the best. We’re talking what we need right now.

917 01:16:48.260 ⇒ 01:16:48.986 Jakob Kagel: With them

918 01:16:49.350 ⇒ 01:16:55.449 Uttam Kumaran: And then we just every week. And that’s why, like, I wanted Nico to really be like, yeah, we need to be talking these guys every fucking week.

919 01:16:55.500 ⇒ 01:16:57.459 Uttam Kumaran: That’s like, I want them to be like.

920 01:16:57.610 ⇒ 01:17:05.243 Uttam Kumaran: just talk to us. But we talked to him so much. Press pay next month, press pay next month. Let’s go.

921 01:17:05.960 ⇒ 01:17:10.529 Jakob Kagel: We, we’ll we’ll figure it out. We’ll figure it out. But yeah, exactly. I I gotta balance. But.

922 01:17:10.835 ⇒ 01:17:11.140 Uttam Kumaran: Brother.

923 01:17:11.140 ⇒ 01:17:16.649 Jakob Kagel: No, I’ll talk to you tomorrow, of course, on the stand up. But yeah, just let me know whatever you think

924 01:17:16.940 ⇒ 01:17:18.729 Jakob Kagel: we should do. I’m down for it.

925 01:17:18.950 ⇒ 01:17:20.090 Uttam Kumaran: Pasha alright.

926 01:17:20.510 ⇒ 01:17:22.534 Jakob Kagel: Alright, Buddy! See you, man.

927 01:17:22.940 ⇒ 01:17:24.169 Uttam Kumaran: See you good chat.