Meeting Title: Brainforge x Stackblitz Weekly Check Date: 2025-03-07 Meeting participants: Luke Daque, Mitchell Wright, Uttam Kumaran


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1 00:03:20.620 00:03:21.560 Uttam Kumaran: Hey, Ryan.

2 00:03:22.490 00:03:23.320 Luke Daque: I have Tom.

3 00:03:29.040 00:03:29.800 Uttam Kumaran: Hey? Mitch.

4 00:03:32.510 00:03:34.419 Mitchell Wright: Do, hey? What’s up?

5 00:03:35.730 00:03:36.910 Uttam Kumaran: How’s everything?

6 00:03:39.476 00:03:43.509 Mitchell Wright: You know, do you like?

7 00:03:43.510 00:03:45.319 Mitchell Wright: I mean a little bit.

8 00:03:45.560 00:03:49.149 Mitchell Wright: But but yeah, it’s good.

9 00:03:49.900 00:03:51.859 Uttam Kumaran: Is it drowning in success?

10 00:03:53.890 00:04:01.790 Mitchell Wright: I mean, there’s success. But it’s like it’s it’s just work like there’s just so much to do, and

11 00:04:04.270 00:04:09.570 Mitchell Wright: not enough time to do it all cause like I’m just in meetings with like

12 00:04:13.370 00:04:14.240 Mitchell Wright: 3rd party.

13 00:04:14.240 00:04:17.819 Uttam Kumaran: How can we help with the data with the data hires? If anything.

14 00:04:17.820 00:04:21.865 Mitchell Wright: So those they signed today, actually, both of them. So

15 00:04:22.540 00:04:34.619 Mitchell Wright: they’re both guys I worked with at Vercel, both very senior. They’re fantastic super stoked, but they are starting on the 24.th I think it is.

16 00:04:34.910 00:04:41.979 Uttam Kumaran: Do you want us to like? Get in touch with them before, or, if you like, you think they would be down for that? If not, it’s fine, but like.

17 00:04:42.931 00:04:54.368 Mitchell Wright: Maybe. Yeah. I mean, it’s not the worst idea. I think the biggest thing is gonna just be making sure that we can really just on board them quickly.

18 00:04:55.200 00:05:00.375 Mitchell Wright: that’s that’s what I want to do. So just being able for them to really get

19 00:05:01.510 00:05:19.200 Mitchell Wright: access to the tools and being able to get their bearings. And then they’re gonna probably have, you know, some thoughts and opinions on like, Oh, like, I like, how this is being done. I I kind of want to change how this is being done, whatever and like. We’ll just kind of work together on that and

20 00:05:20.340 00:05:29.450 Mitchell Wright: kind of see where what parts they want to take over right now, versus what parts they’re like. Yeah, like, you guys can keep doing this piece, you know, whatever. So.

21 00:05:29.450 00:05:32.440 Uttam Kumaran: Okay, yeah, I think the way I see it is

22 00:05:33.170 00:05:38.890 Uttam Kumaran: we’re. I would love to have that them just in our stand ups, basically. And like, we can begin to

23 00:05:39.597 00:05:43.049 Uttam Kumaran: you know, run those and sort of build a backlog with them.

24 00:05:43.626 00:05:46.590 Uttam Kumaran: Start to pick off work as we need. But then

25 00:05:47.080 00:05:51.749 Uttam Kumaran: again, ideally present to you. And then basically, every week, as we kind of run run forward.

26 00:05:52.578 00:05:54.219 Uttam Kumaran: That would definitely help us

27 00:05:54.929 00:06:02.460 Uttam Kumaran: continue to work on like the most important thing we’re still pushing. But I think that person as like the guide, will be really, really helpful.

28 00:06:02.786 00:06:03.179 Uttam Kumaran: We’re sure.

29 00:06:03.180 00:06:06.309 Mitchell Wright: Yeah, just yeah. I just not had time to.

30 00:06:06.310 00:06:11.509 Uttam Kumaran: No, no, and that’s fine like. That’s why I don’t want. There’s no solve on that like I mean, I’m the same boat, so

31 00:06:12.130 00:06:12.640 Uttam Kumaran: it’s all of it.

32 00:06:12.640 00:06:15.819 Mitchell Wright: Well, no, I yeah. But I’m just saying like, it’s it’s like.

33 00:06:16.420 00:06:18.979 Mitchell Wright: I feel like I want to do more here. But.

34 00:06:18.980 00:06:20.059 Uttam Kumaran: Yeah, yeah, yeah, yeah.

35 00:06:20.060 00:06:25.360 Mitchell Wright: So this thing is like the thing we have to be doing right now. And that’s yeah. The.

36 00:06:25.360 00:06:44.909 Uttam Kumaran: We’re still making. We’re still making good progress, like we will that person that they will be happy, that they can come into the environment where data is available. There’s already dbt that model. There’s already Github with the Pr process like, you know, I would be surprised if they don’t say that shaved at least a month of work off of their plate.

37 00:06:44.910 00:06:57.639 Mitchell Wright: Oh, yeah, and that was my goal. Right? Is like they can come in and like, systems are up and running. And like, we can just really start working on the the important pieces there, instead of, like all the setup and everything.

38 00:06:57.640 00:06:58.190 Uttam Kumaran: Cool.

39 00:06:59.440 00:07:02.640 Uttam Kumaran: Okay, great. I’m looking forward to that. Yeah. And if I can, if

40 00:07:02.850 00:07:17.969 Uttam Kumaran: if if they’d be open to it fine either way, we’re what we’re gonna do is we’ll just make sure that they’re ready to onboard. If I think with them we’ll we’ll also, I think, probably starting next week we’ll start to build up a longer roadmap, too. I think one of the things that

41 00:07:18.390 00:07:25.399 Uttam Kumaran: we’re working on now is actually trying to get you the next, like a next proposal, because I know we’re at our month.

42 00:07:26.045 00:07:38.709 Uttam Kumaran: So I want to get you that and talk through that but we still made progress this week. I think maybe, Luke, if you want to share anything or sort of share, how how far we we made it? That would be great.

43 00:07:39.230 00:07:40.220 Luke Daque: Yeah, sure.

44 00:07:42.930 00:07:48.614 Luke Daque: Yeah. So for this week I was like, mostly working on the customer related metrics like,

45 00:07:49.110 00:07:53.620 Luke Daque: lifetime value and stuff like that. I can share my screen real quick.

46 00:07:53.920 00:07:59.810 Luke Daque: cool but for the subscriptions I I already updated a few

47 00:08:00.490 00:08:03.200 Luke Daque: stuff there. Can you see my screen? By the way.

48 00:08:03.560 00:08:04.240 Mitchell Wright: Yep.

49 00:08:07.950 00:08:10.160 Luke Daque: So, yeah, this is, this is the

50 00:08:11.330 00:08:18.040 Luke Daque: customer metric dashboard that I currently have available. So there’s like the total number of customers.

51 00:08:18.611 00:08:23.790 Luke Daque: Average Mrr per customer, basically. So that this is like the monthly

52 00:08:23.910 00:08:35.050 Luke Daque: equivalent it depends on, like, even if they’re in on an annual plan. This would be like their monthly Mrr. But this is still, this is still not creating the

53 00:08:35.320 00:08:36.270 Luke Daque: token.

54 00:08:36.640 00:08:44.799 Luke Daque: Nice, Mrr, that we we were discussing last time, right? Because that was pretty

55 00:08:45.352 00:08:57.550 Luke Daque: tricky to do. But but I think that we can do that, basically because we already have the events for the token limit reached. And then, once once that event gets switched, we can consider that as like

56 00:08:58.810 00:09:04.919 Luke Daque: the month for the the cancel, or like, yeah, basically, something like that.

57 00:09:05.750 00:09:11.800 Mitchell Wright: So if we, for example, turn off, turn off false. So it’s only that is active, is true.

58 00:09:13.750 00:09:14.909 Luke Daque: Oh, yeah, just true.

59 00:09:15.600 00:09:19.890 Luke Daque: Great. Yeah, this makes sense. This number makes sense or access.

60 00:09:20.260 00:09:27.290 Mitchell Wright: Yeah, it’s it’s definitely off. I think we’re currently at like 63,000 or something like that.

61 00:09:28.612 00:09:33.240 Mitchell Wright: So I’m not sure but it’s definitely not far off.

62 00:09:34.640 00:09:35.460 Luke Daque: Yeah.

63 00:09:35.750 00:09:39.040 Mitchell Wright: So that’s something that we’ll need to to look at. But yeah, like this.

64 00:09:40.322 00:09:45.917 Mitchell Wright: this is interesting. Cause, like, yeah, average. Mrr, I think is probably pretty close and

65 00:09:47.070 00:09:51.360 Mitchell Wright: total lifetime value. That’s interesting at 4 point.

66 00:09:51.720 00:09:54.759 Mitchell Wright: Oh, of all customers combined. Yeah, that makes more sense.

67 00:09:54.990 00:09:59.420 Mitchell Wright: Yeah, yeah, this is like the sum of that, I think probably time value. There we go.

68 00:09:59.420 00:09:59.900 Uttam Kumaran: Yeah.

69 00:09:59.900 00:10:00.410 Mitchell Wright: There!

70 00:10:01.460 00:10:02.070 Luke Daque: Yeah.

71 00:10:02.990 00:10:07.279 Mitchell Wright: Yeah, no, yeah, this is super interesting, because this is exactly

72 00:10:07.440 00:10:18.495 Mitchell Wright: total active subscriptions, total cancelled. And and it could be the way that, you know bare metrics is calculating versus the way that it is showing up in stripe, or whatever. But

73 00:10:18.830 00:10:19.610 Luke Daque: Yeah.

74 00:10:20.150 00:10:23.103 Uttam Kumaran: I wonder if if there’s any. Yeah. I wonder if you can?

75 00:10:24.740 00:10:27.887 Uttam Kumaran: yeah. I wonder if we can check a couple of the differences.

76 00:10:28.490 00:10:31.080 Uttam Kumaran: Trying to think on top of my head what it what it could be. But

77 00:10:31.230 00:10:34.899 Uttam Kumaran: maybe if we give you like a couple of those

78 00:10:36.430 00:10:40.020 Uttam Kumaran: active or inactive ones. We can test it, I don’t know, but.

79 00:10:40.720 00:10:49.430 Mitchell Wright: Yeah, I’m just looking at bare metrics. I wonder if they have like definitions of how they’re calculating different things.

80 00:10:50.250 00:10:53.959 Uttam Kumaran: So, Luke, what’s our definition? We’re just looking at like folks on active subscription.

81 00:10:54.260 00:10:58.002 Luke Daque: So yeah, for me, for for the active. I was like looking at the

82 00:10:58.760 00:11:02.680 Luke Daque: like, if they still have a subscription that wasn’t canceled. Basically.

83 00:11:03.782 00:11:09.089 Luke Daque: I count as as active. Yeah. So if there’s a I can show you real quick.

84 00:11:13.370 00:11:15.199 Luke Daque: So I considered any.

85 00:11:17.690 00:11:18.870 Uttam Kumaran: Yeah, I see.

86 00:11:23.900 00:11:32.270 Luke Daque: It’s active. So as long as they don’t have any cancelled date on their subscription, I consider them as active, basically.

87 00:11:33.140 00:11:38.819 Luke Daque: And there are like customers, basically that have like multiple subscriptions. I did like a customer that has.

88 00:11:38.820 00:11:39.429 Uttam Kumaran: Does that mean so.

89 00:11:39.430 00:11:43.060 Luke Daque: Options, and then, like 6 of them, are inactive or like

90 00:11:44.730 00:11:48.140 Luke Daque: canceled, and then one still active. That’s still considered active.

91 00:11:48.540 00:11:51.990 Luke Daque: Maybe that’s also yeah, I might need to.

92 00:11:52.790 00:12:03.250 Luke Daque: because I’m like counting the distinct number of customers here. And then, if a customer might have like 2 active subscriptions, maybe barometrics is counting that as 2

93 00:12:04.040 00:12:06.270 Luke Daque: as to like just one customer.

94 00:12:06.550 00:12:08.129 Mitchell Wright: Yeah, I’m just looking.

95 00:12:08.130 00:12:10.720 Uttam Kumaran: Situation, and when they would have 2 active subscriptions.

96 00:12:11.800 00:12:17.740 Luke Daque: Maybe they have 2 plans that are very prescribed to 2 plans in.

97 00:12:17.740 00:12:21.639 Mitchell Wright: I’m trying to think if you can be on 2

98 00:12:22.550 00:12:29.950 Mitchell Wright: plans, I think. I wonder if you can have a team subscription and a personal, but that wouldn’t account for like the total

99 00:12:30.150 00:12:32.420 Mitchell Wright: difference. There.

100 00:12:32.770 00:12:33.550 Uttam Kumaran: Hmm.

101 00:12:34.120 00:12:35.390 Mitchell Wright: But like, if we.

102 00:12:35.390 00:12:37.680 Luke Daque: And, for example, has, like 7.

103 00:12:37.680 00:12:38.730 Uttam Kumaran: Someone yeah.

104 00:12:40.260 00:12:42.830 Luke Daque: This is 7 active subscriptions.

105 00:12:44.314 00:12:47.149 Luke Daque: Oh, this is just email. So maybe

106 00:12:47.320 00:12:51.110 Luke Daque: they have the same email. This, this specific customer, id.

107 00:12:51.570 00:12:54.329 Mitchell Wright: Let me check.

108 00:12:54.330 00:12:57.249 Uttam Kumaran: code@outlook.com.br.

109 00:12:57.260 00:13:02.069 Luke Daque: No, but it looks like, yeah, it looks like they are all active.

110 00:13:03.420 00:13:06.180 Mitchell Wright: Let me. Yeah, let me pull up. Stripe real quick, and just look.

111 00:13:07.000 00:13:10.020 Uttam Kumaran: Can you drop one of those customer ids in chat.

112 00:13:10.230 00:13:11.540 Luke Daque: Chat, chat.

113 00:13:12.920 00:13:15.460 Luke Daque: I can also do here.

114 00:13:31.930 00:13:34.880 Mitchell Wright: Okay? So

115 00:13:43.980 00:13:45.159 Mitchell Wright: yeah, what the heck?

116 00:13:46.890 00:13:49.419 Mitchell Wright: Let’s see, those are okay. Those are invoicing.

117 00:13:49.876 00:13:54.900 Luke Daque: Looks like he has 6 active subscriptions, all 6 of them.

118 00:13:56.530 00:13:59.150 Luke Daque: This is interesting. They have.

119 00:14:00.390 00:14:02.530 Mitchell Wright: The heck. Is this person doing

120 00:14:03.660 00:14:07.070 Mitchell Wright: this person in this every day?

121 00:14:07.460 00:14:12.500 Mitchell Wright: They like keep changing their subscription multiple times.

122 00:14:12.680 00:14:15.200 Mitchell Wright: I wonder if there’s some bug that.

123 00:14:17.230 00:14:26.169 Mitchell Wright: like March 6th yesterday they changed subscription from one price to another price, then from a different that new price to a different price.

124 00:14:26.170 00:14:26.780 Uttam Kumaran: Yeah.

125 00:14:26.780 00:14:28.509 Mitchell Wright: That price to a different price.

126 00:14:32.410 00:14:32.970 Mitchell Wright: to something.

127 00:14:32.970 00:14:36.309 Uttam Kumaran: Can you go into? Can you see it in stripe, or you see it.

128 00:14:36.310 00:14:38.179 Mitchell Wright: Let me let me. I’m not as familiar.

129 00:14:38.180 00:14:38.770 Uttam Kumaran: I mean.

130 00:14:38.770 00:14:44.920 Mitchell Wright: The stripe but like to give you an example, right? Like

131 00:14:45.380 00:14:59.919 Mitchell Wright: recent activity. So yesterday they went from this price to this price. Then they went from that price back to that price. Then they went from that price back to that price. So they’re like just changing back and forth multiple times. I wonder if it’s like.

132 00:14:59.920 00:15:05.480 Uttam Kumaran: Is are the is the are you guys getting? The is the invoices? Are they? Are the invoices clearing.

133 00:15:11.724 00:15:12.639 Mitchell Wright: None.

134 00:15:13.560 00:15:16.080 Uttam Kumaran: Looks like 6, 25, 9, 86.

135 00:15:17.340 00:15:19.320 Uttam Kumaran: I just wonder what they’re doing.

136 00:15:20.080 00:15:20.830 Luke Daque: Here.

137 00:15:22.400 00:15:23.110 Luke Daque: It’s weird.

138 00:15:24.090 00:15:26.779 Uttam Kumaran: Ryan, can you get a couple of other ones? We can check.

139 00:15:26.780 00:15:27.340 Luke Daque: Sure.

140 00:15:27.550 00:15:28.879 Luke Daque: Yeah. Let me check another.

141 00:15:28.880 00:15:33.539 Uttam Kumaran: Let’s look at the top 3 or 4 that have that have multiple subscriptions and see like.

142 00:15:35.080 00:15:37.960 Luke Daque: Yeah, let me paste it through again. The second one.

143 00:15:37.960 00:15:39.800 Uttam Kumaran: I mean, it looks like they’re spending. But.

144 00:15:41.420 00:15:50.040 Mitchell Wright: Yeah. I wonder if there’s something with the way, like when you switch between, if it like, gives you more tokens figured out some way to.

145 00:15:50.330 00:15:50.760 Luke Daque: Yeah.

146 00:15:50.760 00:15:55.700 Mitchell Wright: Kind of lack the system and get, see this one.

147 00:15:55.840 00:15:58.690 Mitchell Wright: This one’s not exactly like that.

148 00:16:01.720 00:16:04.159 Mitchell Wright: But the thing is they’ve got just like.

149 00:16:04.470 00:16:08.260 Mitchell Wright: let’s see. Okay, so this one is on teams 2, 10.

150 00:16:09.600 00:16:12.430 Mitchell Wright: This one is on teams, 1, 10.

151 00:16:12.920 00:16:15.439 Mitchell Wright: That’s interesting. They’re both.

152 00:16:16.410 00:16:21.710 Mitchell Wright: They’re both there. Those 2 are teams. So maybe it has something to do with teams. Billing.

153 00:16:22.240 00:16:24.260 Mitchell Wright: Yeah, teams, 2, 10 as well.

154 00:16:25.930 00:16:30.990 Luke Daque: Is that the one that’s actually like that’s pretty weird, because I’m I don’t see any 2 10 in it.

155 00:16:31.510 00:16:34.320 Luke Daque: or maybe just teams. Is the teams content?

156 00:16:35.520 00:16:36.810 Luke Daque: Is that the same.

157 00:16:39.486 00:16:40.549 Mitchell Wright: Sorry. What was that?

158 00:16:42.040 00:16:47.879 Luke Daque: Yeah, I I don’t see an active plan for this customer. That team is 2 10. He does have

159 00:16:48.020 00:16:49.949 Luke Daque: teams, just teams.

160 00:16:51.770 00:16:53.159 Mitchell Wright: Oh, interesting!

161 00:16:53.890 00:16:55.110 Mitchell Wright: That’s kind of where it’s for.

162 00:16:55.110 00:16:57.109 Luke Daque: March 17, th again.

163 00:16:58.260 00:17:02.000 Mitchell Wright: Cause here. Yeah, this is the other thing. Where.

164 00:17:07.310 00:17:07.930 Luke Daque: Hmm.

165 00:17:08.839 00:17:12.129 Mitchell Wright: Cause this was teams. I don’t know what this is.

166 00:17:13.109 00:17:17.749 Luke Daque: Oh, wait! This is this the 3rd one?

167 00:17:18.689 00:17:21.029 Luke Daque: I was looking at a different idea.

168 00:17:21.579 00:17:23.779 Mitchell Wright: Oh, yeah, yeah, this is the 3rd one. But

169 00:17:24.569 00:17:27.689 Mitchell Wright: cause $30 should be a team’s plan.

170 00:17:27.939 00:17:29.449 Mitchell Wright: If it’s monthly.

171 00:17:30.099 00:17:35.659 Mitchell Wright: these look like one off charges. I don’t know if those are token reloads or what those are.

172 00:17:42.019 00:17:44.289 Mitchell Wright: It’s not letting me download the Pdf.

173 00:18:07.119 00:18:11.369 Mitchell Wright: Oh, there we go, one of them downloaded. So I’m just looking at this invoice.

174 00:18:20.229 00:18:26.499 Mitchell Wright: Yeah. So they they up or downgraded.

175 00:18:27.789 00:18:29.659 Mitchell Wright: No, they upgraded.

176 00:18:30.089 00:18:39.349 Mitchell Wright: And so we prorated. So that’s what the 40.

177 00:18:41.099 00:18:45.479 Mitchell Wright: Okay? So they signed up.

178 00:18:45.779 00:18:56.959 Mitchell Wright: oh, interesting. Okay, maybe this is why they it looks like they have multiple cause. So they signed up on February 17.th So their next renewal date would be on March 17, th

179 00:18:57.319 00:19:08.029 Mitchell Wright: but prior to that they upgraded to the next tier. Then they upgraded to the next tier. Then they upgraded to the next tier, and because they’re just just like pro rating every time.

180 00:19:08.400 00:19:09.530 Uttam Kumaran: Oh, okay.

181 00:19:10.220 00:19:17.615 Mitchell Wright: For how much time is left in the account. So that’s what those are. That’s what those payments are. But

182 00:19:19.130 00:19:24.590 Mitchell Wright: These ones are being charged as one offs, because it’s like a 1 time thing

183 00:19:25.110 00:19:35.529 Mitchell Wright: versus this one is the subscription. But then, once February or once March 17th comes around. They’re going to be billed at the higher like $210

184 00:19:36.210 00:19:37.310 Mitchell Wright: price point.

185 00:19:37.310 00:19:38.140 Luke Daque: Yeah.

186 00:19:38.140 00:19:42.289 Mitchell Wright: On March 17.th Okay, that makes sense. So I don’t know if that’s

187 00:19:42.470 00:19:46.880 Mitchell Wright: but I assume that’s what’s happening with all of these customers is that they’re like.

188 00:19:46.880 00:19:47.440 Luke Daque: Right.

189 00:19:47.440 00:19:51.930 Mitchell Wright: Upgrading. And that’s where we’re seeing this like weird multi charge.

190 00:19:51.930 00:19:55.900 Uttam Kumaran: This person looks like in bare metrics. By the way, like, are you able to look at.

191 00:19:56.500 00:19:57.470 Luke Daque: Specific, one.

192 00:20:00.160 00:20:00.570 Mitchell Wright: Yeah, fine.

193 00:20:00.570 00:20:04.339 Luke Daque: Yeah, I’ll have to change the logic, then. To. I’ll have to look

194 00:20:04.790 00:20:11.209 Luke Daque: where I can find like if it’s just an upgrade and stuff. So.

195 00:20:18.730 00:20:20.100 Mitchell Wright: It’s a load.

196 00:20:25.010 00:20:25.880 Mitchell Wright: Yeah.

197 00:20:28.040 00:20:30.809 Mitchell Wright: So I think if I drop.

198 00:20:34.550 00:20:38.660 Mitchell Wright: I don’t know why my computer is crunching hard right now.

199 00:20:44.120 00:20:45.130 Mitchell Wright: Okay.

200 00:20:46.750 00:20:47.290 Luke Daque: Good.

201 00:20:52.900 00:20:53.710 Luke Daque: Hmm.

202 00:20:53.880 00:20:56.322 Mitchell Wright: Yeah. So this is where they

203 00:21:00.280 00:21:01.790 Mitchell Wright: interesting.

204 00:21:03.120 00:21:06.809 Mitchell Wright: So they’re counting this as 2 10, Mrr, even though

205 00:21:07.490 00:21:10.449 Mitchell Wright: we technically never charged them. That amount.

206 00:21:12.050 00:21:12.660 Luke Daque: Hmm.

207 00:21:13.070 00:21:27.369 Mitchell Wright: And here’s the timeline, right? So 30. They were a new team’s customer. Then they upgraded the team 60. So we charge them a prorated amount, and they upgraded to 1, 10 to 2, 10. Yep, exactly. Okay.

208 00:21:30.270 00:21:31.460 Mitchell Wright: interesting.

209 00:21:45.150 00:21:46.732 Mitchell Wright: But I wonder?

210 00:21:50.520 00:21:52.810 Mitchell Wright: yeah, I wonder?

211 00:21:53.010 00:21:58.600 Mitchell Wright: So that’s interesting, because I think that might show some examples of where bare metrics

212 00:21:58.810 00:22:06.099 Mitchell Wright: might differ on the Mrr numbers, because they’re now saying that this is 210. Mrr.

213 00:22:11.350 00:22:13.460 Luke Daque: What would you want it to be, though, like.

214 00:22:13.460 00:22:20.049 Mitchell Wright: Well, I don’t know. That’s a that’s a great question. I mean, I guess that’s a fair way to look at it, because

215 00:22:22.190 00:22:27.989 Mitchell Wright: that’s gonna be what we bill them at next time, because they haven’t cancelled yet.

216 00:22:28.670 00:22:29.410 Luke Daque: Yeah.

217 00:22:31.680 00:22:33.690 Mitchell Wright: So I guess that’s a fair way to look at it.

218 00:22:37.600 00:22:38.759 Mitchell Wright: Hmm, okay.

219 00:22:38.760 00:22:40.710 Uttam Kumaran: Yeah, I think that’s right.

220 00:22:41.350 00:22:42.110 Mitchell Wright: Yeah.

221 00:22:42.370 00:22:48.550 Uttam Kumaran: Because it’s your Mr. Is not gonna be your actuals like, you don’t know the actuals. Yeah, until it’s.

222 00:22:48.550 00:22:49.730 Mitchell Wright: Yeah, that’s true.

223 00:22:51.340 00:22:54.200 Mitchell Wright: Yeah, yeah, okay.

224 00:22:54.200 00:22:55.791 Uttam Kumaran: This is what it is.

225 00:22:56.110 00:23:00.570 Mitchell Wright: Yeah, I mean the the I don’t know if that really tells. Sorry. What was that.

226 00:23:00.570 00:23:03.570 Uttam Kumaran: Yeah, I don’t. I don’t think it tells us the story about the difference.

227 00:23:03.780 00:23:04.350 Mitchell Wright: No

228 00:23:05.110 00:23:08.450 Uttam Kumaran: Like, is there any way we could like? Is it easy to get

229 00:23:09.342 00:23:17.980 Uttam Kumaran: what it would be like, or we could do a a month, maybe, Luke, and then get an export out of bare metrics and compare because.

230 00:23:18.130 00:23:18.850 Luke Daque: Yeah.

231 00:23:19.170 00:23:21.479 Uttam Kumaran: I wanna try to nail down the difference.

232 00:23:22.020 00:23:22.730 Mitchell Wright: Yeah.

233 00:23:22.730 00:23:25.300 Uttam Kumaran: It’s hard for us to do like an exclusion list.

234 00:23:25.980 00:23:36.130 Mitchell Wright: If right like. So, for example, if we look at active subscriptions.

235 00:23:38.620 00:23:41.269 Mitchell Wright: and then if we put

236 00:23:48.030 00:23:49.450 Luke Daque: And and do that.

237 00:23:52.070 00:23:59.870 Mitchell Wright: Right. So it’s annoying. They don’t do like a daily running total there. But

238 00:24:06.610 00:24:08.960 Mitchell Wright: what does this give me?

239 00:24:13.310 00:24:19.650 Mitchell Wright: Csv, and that Csv has

240 00:24:29.100 00:24:30.330 Mitchell Wright: loading.

241 00:24:31.570 00:24:35.090 Mitchell Wright: Oh, yeah, it has the amount per day. That’s perfect. That’s exactly what you guys need.

242 00:24:37.860 00:24:40.389 Mitchell Wright: Let me drop this in slack.

243 00:24:41.650 00:24:42.690 Luke Daque: Yeah, that’d be great.

244 00:25:04.140 00:25:08.980 Mitchell Wright: Okay, so that should have the amount of active subscriptions per day.

245 00:25:11.676 00:25:15.829 Mitchell Wright: For the month of February. So that’s like a probably a good starting point.

246 00:25:23.420 00:25:24.699 Luke Daque: I understand.

247 00:25:27.800 00:25:31.009 Luke Daque: Oh, yeah, it’s it’s yeah. I was off already.

248 00:25:31.480 00:25:39.830 Luke Daque: But like I was only at 58,000 time off back here.

249 00:25:41.220 00:25:42.110 Luke Daque: Awesome.

250 00:25:43.080 00:25:44.180 Luke Daque: 2,000.

251 00:25:45.060 00:25:46.679 Luke Daque: Yeah, cool.

252 00:25:47.970 00:25:56.240 Luke Daque: Or I also like updated the subscriptions model it also also already will

253 00:25:57.950 00:26:05.639 Luke Daque: in the MRI. I I included the token reloads, so we can split it between just subscription, like the total revenue

254 00:26:06.498 00:26:10.209 Luke Daque: token reloads. And yeah, Mrr.

255 00:26:10.700 00:26:18.471 Luke Daque: and yeah, I did extend it to like another month like what we discussed last week. So if it’s

256 00:26:19.970 00:26:28.659 Luke Daque: like a monthly subscription, that and and they were cancelled, then I I extend another month for that specific subscription right? Because, like they, they still would be

257 00:26:29.160 00:26:31.160 Luke Daque: build for the next month.

258 00:26:31.420 00:26:38.480 Luke Daque: Same same with the annual, or like annual subscriptions. If they get canceled mid of the middle of the year.

259 00:26:38.590 00:26:39.160 Luke Daque: All right.

260 00:26:39.160 00:26:40.369 Mitchell Wright: It goes to the end of the piece.

261 00:26:40.370 00:26:48.980 Luke Daque: It still goes to. Yeah, like, whatever is left like the the 6 months just left to go against that. Yeah. So that that’s what I did.

262 00:26:49.492 00:26:51.957 Luke Daque: I all I wanted to add the

263 00:26:53.540 00:27:05.220 Luke Daque: like if the the limit is reached, token limit is reached and use that as the stopping point, but it was pretty tricky at the moment, so I didn’t add that yet. But yeah, that’s like one of the plans as well

264 00:27:05.660 00:27:07.540 Luke Daque: to add to that.

265 00:27:09.700 00:27:15.980 Mitchell Wright: Cool. Yeah, yeah, no. I think that’s great. Yeah. Going to the end of the period. That’s definitely

266 00:27:16.665 00:27:22.250 Mitchell Wright: cause they do have access till then they could. Yeah, so

267 00:27:22.480 00:27:26.570 Mitchell Wright: they’ll fall off at the next the next time.

268 00:27:29.150 00:27:31.920 Mitchell Wright: Cool, cool.

269 00:27:33.750 00:27:38.420 Mitchell Wright: awesome. I feel I feel like, Yeah, this is, this is good. We’re getting to a a good point where

270 00:27:39.140 00:27:51.929 Mitchell Wright: any work like I said, that we can do to kind of match their metrics so that we can kind of switch off of that at some point and make that transition comfortable for the

271 00:27:53.560 00:27:55.940 Mitchell Wright: for the CEO, mainly

272 00:27:56.140 00:28:14.740 Mitchell Wright: so that you can feel like, okay, I’m getting like, kind of a 1 to one. And then we’ll understand the the underlying assumptions of all of these different metrics which right now I don’t, and it’s like, sure this our active subscriptions, I guess, but I don’t know how they’re actually calculating any of that.

273 00:28:15.540 00:28:21.819 Uttam Kumaran: And one of the things I’m also gonna start to do is I’m poking around. So I think I’m gonna find a couple of nuggets immediately for you guys to

274 00:28:21.970 00:28:28.850 Uttam Kumaran: probably just begin to say, like, how do we action on these especially things? On what are the

275 00:28:28.960 00:28:31.859 Uttam Kumaran: what are the highest value customers which people you should.

276 00:28:31.860 00:28:32.200 Luke Daque: In the meeting.

277 00:28:32.200 00:28:37.910 Uttam Kumaran: Targeting for larger conversations, and tell me about like, what is the effort on the Enterprise side right now.

278 00:28:38.260 00:28:45.390 Mitchell Wright: So that that would be my head of sales is gonna lose his mind if you give us something like that right cause right now. He’s like

279 00:28:45.850 00:29:05.260 Mitchell Wright: I’m like, look you, you’re doing like 1 $10,000 arr deal a week. It’s not worth my time to help you right now. So if you it so, what they, what they’re looking for is right like, who are the people that are on teams? Plans?

280 00:29:05.690 00:29:10.849 Mitchell Wright: Who are the people that are on like the highest tier of pro, and

281 00:29:10.960 00:29:24.679 Mitchell Wright: consistently using that, who are the people that are spending a bunch on token reloads? And then they just want to be able to see who those people are, so that they can just do prospecting to them and do some.

282 00:29:25.590 00:29:26.830 Luke Daque: I can definitely add that.

283 00:29:27.392 00:29:31.330 Mitchell Wright: Kind of identify those highest spending customers

284 00:29:31.620 00:29:35.670 Mitchell Wright: and and surface those up. They’re gonna love you.

285 00:29:35.790 00:29:36.410 Mitchell Wright: That’s gonna be.

286 00:29:36.410 00:29:37.140 Uttam Kumaran: Okay.

287 00:29:37.450 00:29:39.690 Uttam Kumaran: Okay, yeah, cool.

288 00:29:39.690 00:29:40.839 Uttam Kumaran: Nice. There’s any.

289 00:29:40.840 00:29:41.310 Uttam Kumaran: The lowest.

290 00:29:41.960 00:29:47.529 Mitchell Wright: If if you I don’t know if you want, but I can like bring them into the Channel and just say like, Hey.

291 00:29:48.610 00:29:51.300 Mitchell Wright: like this is what Utam wants to do.

292 00:29:51.710 00:29:54.812 Mitchell Wright: Does this align with what you guys want.

293 00:29:55.200 00:30:19.340 Uttam Kumaran: Great like we can either do. I mean, I would say, if we can do it another way is we could just start it. We can either bring it to that channel, or we can start another channel just with them. I’m fine with anything like I think that would be perfect. And again, we’ll run everything sort of through that. Maybe we have a channel with them and a channel with you that way. You know how data teams work like the pressure will come, and I just want to run things by you.

294 00:30:19.870 00:30:20.849 Mitchell Wright: Yeah, that’s what happened.

295 00:30:20.850 00:30:24.249 Mitchell Wright: Exactly. We can have our own private place to talk about stuff.

296 00:30:26.010 00:30:42.779 Mitchell Wright: I love that. Okay, I’ll make another channel, and I’ll add them in. And then and you guys, and then I’ll give them just like the high level like, Hey, I know you guys have been wanting more insight into high spent customers on the platform. We, Tom’s gonna help you out here and get you that data.

297 00:30:43.260 00:30:43.870 Uttam Kumaran: Okay.

298 00:30:44.940 00:30:48.869 Mitchell Wright: Love it. That’s gonna be actually a huge win for us. So

299 00:30:49.900 00:30:55.539 Mitchell Wright: except, yeah, I feel like, I’ve just been pushing him off. And I need to build the relationship there a little bit. So.

300 00:30:55.540 00:31:05.029 Uttam Kumaran: No, I wanna get you a couple. I wanna get you a couple of big nuggets that you couldn’t have gotten from bare metrics, and I’ll just put it in a 1 pager, which is like couple of interesting things we saw.

301 00:31:05.170 00:31:06.710 Uttam Kumaran: And we’ll we’ll give that to you.

302 00:31:07.240 00:31:09.740 Mitchell Wright: Love that awesome, cool.

303 00:31:10.240 00:31:12.200 Mitchell Wright: Alright, guys, this is great.

304 00:31:12.200 00:31:13.369 Uttam Kumaran: Get some rest.

305 00:31:13.820 00:31:19.289 Mitchell Wright: Yeah, I know. Yeah. My wife is like going down to

306 00:31:20.030 00:31:28.679 Mitchell Wright: like some kind of dance party with her friend tonight down because we live up in the mountains. So she’s go there going down to the city. And I’m just gonna like hit the hot tub. And just.

307 00:31:28.940 00:31:30.220 Uttam Kumaran: Yeah.

308 00:31:32.250 00:31:32.920 Uttam Kumaran: Hell, yeah.

309 00:31:32.920 00:31:33.440 Mitchell Wright: Good.

310 00:31:34.260 00:31:35.400 Uttam Kumaran: Awesome. Cool. Okay.

311 00:31:35.400 00:31:43.740 Mitchell Wright: Alright, guys, this has been great. I’ll make that channel right now and get you guys added, and just give the the quick update. And then you guys can just chat with them.

312 00:31:44.120 00:31:45.049 Uttam Kumaran: Cool. Okay. Perfect.

313 00:31:45.770 00:31:46.210 Luke Daque: Sounds good.

314 00:31:46.210 00:31:48.150 Mitchell Wright: Thanks. Guys, appreciate it. Catch you later.

315 00:31:48.150 00:31:50.570 Luke Daque: Smitch bye, bye.