Meeting Title: Brainforge x Stackblitz Weekly Check Date: 2025-02-14 Meeting participants: Luke Daque, Mitchell Wright, Uttam Kumaran
WEBVTT
1 00:02:22.630 ⇒ 00:02:23.720 Uttam Kumaran: Hey, Ryan.
2 00:02:24.670 ⇒ 00:02:26.320 Luke Daque: Hey? Whatam! How’s it going.
3 00:02:26.320 ⇒ 00:02:27.290 Uttam Kumaran: Hey? Good.
4 00:02:35.970 ⇒ 00:02:40.560 Uttam Kumaran: Yeah, I think. I think you, you basically have everything to cover right today.
5 00:02:41.760 ⇒ 00:02:42.530 Luke Daque: Yeah.
6 00:02:42.900 ⇒ 00:02:43.360 Uttam Kumaran: Okay. Cool.
7 00:02:43.360 ⇒ 00:02:48.949 Luke Daque: We can. We can ask Mitch for additional context to some of the
8 00:02:50.631 ⇒ 00:02:53.939 Luke Daque: subscriptions, users and organizations fields.
9 00:02:54.220 ⇒ 00:03:00.330 Luke Daque: But aside and and yeah, on our end like on my end. I’m still looking into the
10 00:03:02.990 ⇒ 00:03:07.339 Luke Daque: What do you call this? The segment data, like the so so.
11 00:03:07.340 ⇒ 00:03:07.960 Uttam Kumaran: Raw data.
12 00:03:07.960 ⇒ 00:03:11.830 Luke Daque: Raw data, basically looking for the metrics that we
13 00:03:12.140 ⇒ 00:03:17.358 Luke Daque: that there that are in the bulk metrics, current events like messages sent
14 00:03:17.940 ⇒ 00:03:24.950 Luke Daque: messages, complete chat stuff like that. So maybe I can start building a model to get those data.
15 00:03:25.640 ⇒ 00:03:28.200 Luke Daque: Maybe we can have that. It’s it’s just like one.
16 00:03:28.710 ⇒ 00:03:37.369 Luke Daque: maybe a date spine, and then those metrics, I guess, would be great for a for an initial model.
17 00:03:41.250 ⇒ 00:03:41.870 Uttam Kumaran: Okay.
18 00:03:46.760 ⇒ 00:03:53.419 Luke Daque: This? Did we have? I think we have hubspot already. Right? Are we like
19 00:03:54.120 ⇒ 00:03:59.419 Luke Daque: also, like gonna be asking Mitch about the requirements for the data modeling or her.
20 00:03:59.420 ⇒ 00:04:03.849 Uttam Kumaran: Yeah, I think we. Still, I think we’re just gonna keep moving on what we have for now.
21 00:04:03.850 ⇒ 00:04:04.630 Luke Daque: Okay.
22 00:04:04.891 ⇒ 00:04:10.379 Uttam Kumaran: I haven’t gotten exactly. He’s he just says they haven’t. They’re not using it a lot yet, but they will be.
23 00:04:10.700 ⇒ 00:04:11.929 Luke Daque: Oh, okay, cool.
24 00:04:14.270 ⇒ 00:04:15.390 Luke Daque: Maybe
25 00:04:16.720 ⇒ 00:04:25.920 Luke Daque: maybe we can merge the current Pr that we have for users and organizations, at least with what we have at the moment, and then
26 00:04:26.080 ⇒ 00:04:27.590 Luke Daque: we can go from there.
27 00:04:28.010 ⇒ 00:04:28.960 Luke Daque: Hey, Mitch.
28 00:04:29.230 ⇒ 00:04:30.690 Mitchell Wright: Hey? What’s up, guys.
29 00:04:30.990 ⇒ 00:04:31.790 Uttam Kumaran: Hey!
30 00:04:32.900 ⇒ 00:04:34.220 Luke Daque: Doing well, how are you.
31 00:04:34.490 ⇒ 00:04:35.990 Mitchell Wright: I’m good, good.
32 00:04:35.990 ⇒ 00:04:36.640 Luke Daque: Week.
33 00:04:37.360 ⇒ 00:04:38.250 Mitchell Wright: Busy.
34 00:04:39.740 ⇒ 00:04:42.819 Mitchell Wright: Had a. We had a big launch this week, so that was
35 00:04:44.010 ⇒ 00:04:46.449 Mitchell Wright: the focus. And then we got like
36 00:04:47.180 ⇒ 00:04:52.849 Mitchell Wright: foot and a half of snow last night, so I’ve been spending a lot of the morning shoveling snow.
37 00:04:52.850 ⇒ 00:04:53.710 Uttam Kumaran: Wow!
38 00:04:53.710 ⇒ 00:04:54.140 Mitchell Wright: Yeah.
39 00:04:55.240 ⇒ 00:04:56.050 Luke Daque: Sucks.
40 00:04:56.360 ⇒ 00:04:58.660 Uttam Kumaran: At least it’s something in the real world, you know.
41 00:04:58.660 ⇒ 00:05:05.200 Mitchell Wright: Yeah, exactly. It is kind of nice to like, get out from behind the computer screen every once in a while and and do something.
42 00:05:05.610 ⇒ 00:05:08.630 Uttam Kumaran: That’s how I feel when I have to like mop or like.
43 00:05:08.980 ⇒ 00:05:09.540 Mitchell Wright: Bad.
44 00:05:09.540 ⇒ 00:05:13.190 Uttam Kumaran: You, I’m like, Oh, look, this is like something like, not digital that I’m doing.
45 00:05:13.190 ⇒ 00:05:14.300 Mitchell Wright: Yes, exactly.
46 00:05:16.561 ⇒ 00:05:21.190 Uttam Kumaran: Cool, I guess, Ryan, maybe I’ll let you take it away. We have a couple of things to go through.
47 00:05:21.520 ⇒ 00:05:22.553 Luke Daque: Sure. So,
48 00:05:23.810 ⇒ 00:05:30.250 Luke Daque: yeah, I can probably share my screen that way. We can like, walk, look into what we have so far.
49 00:05:30.680 ⇒ 00:05:31.310 Mitchell Wright: Okay.
50 00:05:35.750 ⇒ 00:05:36.600 Luke Daque: So
51 00:05:37.780 ⇒ 00:05:45.370 Luke Daque: yeah, so 1st of all, we already have the segment data in our snowflake. So there’s a lot of tables here.
52 00:05:46.940 ⇒ 00:05:48.162 Luke Daque: Okay, cool. So
53 00:05:48.730 ⇒ 00:05:52.980 Mitchell Wright: Yeah, I think I’m not 100% sure what we’re gonna do with that cause
54 00:05:53.380 ⇒ 00:05:56.310 Mitchell Wright: I think a lot of those events are probably worthless.
55 00:05:56.760 ⇒ 00:06:02.479 Luke Daque: Hmm, yeah, I’m in the process currently of trying to look
56 00:06:02.988 ⇒ 00:06:08.680 Luke Daque: like, yeah, look into the tables to like, at least, look look for these.
57 00:06:09.140 ⇒ 00:06:09.740 Mitchell Wright: Okay.
58 00:06:10.322 ⇒ 00:06:14.280 Luke Daque: Are these like? At least the 1st 3 would be like the highest priority.
59 00:06:14.520 ⇒ 00:06:18.450 Luke Daque: And then, maybe, like, I was thinking, maybe we can create them.
60 00:06:18.850 ⇒ 00:06:21.089 Luke Daque: Data model for these events. What do you.
61 00:06:21.090 ⇒ 00:06:28.749 Mitchell Wright: Yeah, yeah, yeah, that’s great, I think. Yeah, let me just look at these real quick.
62 00:06:30.820 ⇒ 00:06:31.620 Mitchell Wright: Any token.
63 00:06:32.980 ⇒ 00:06:39.840 Mitchell Wright: The also highlight daily token limit reached, and monthly token limit reached 17 and 18.
64 00:06:40.980 ⇒ 00:06:41.920 Luke Daque: Okay. Cool.
65 00:06:41.920 ⇒ 00:06:44.145 Mitchell Wright: Those would both be great.
66 00:06:48.320 ⇒ 00:06:51.250 Mitchell Wright: yeah. Template used is a good one as well.
67 00:06:52.470 ⇒ 00:06:57.893 Mitchell Wright: so that I mean, I don’t know if they’re tracking, which template was used, but that would be great to know.
68 00:07:02.850 ⇒ 00:07:08.489 Mitchell Wright: yeah, I think those are probably good for now. Those are the ones I would, I would probably focus on if there’s
69 00:07:08.660 ⇒ 00:07:14.069 Mitchell Wright: finding those and and looking at those the rest of them, for now we can just ignore.
70 00:07:14.410 ⇒ 00:07:17.339 Luke Daque: Okay, sounds good. I can work on those.
71 00:07:19.191 ⇒ 00:07:23.900 Luke Daque: Yeah. And aside from that, we
72 00:07:24.050 ⇒ 00:07:29.899 Luke Daque: like the real model. Have you like, looked into that played around with it. Yet so far with what we have.
73 00:07:29.900 ⇒ 00:07:38.306 Mitchell Wright: Yeah. I looked at it. I mean, that’s awesome. I think I think what would be good for me to give to you all is
74 00:07:38.950 ⇒ 00:07:41.820 Mitchell Wright: basically a a dashboard mock.
75 00:07:42.010 ⇒ 00:07:48.280 Mitchell Wright: So then, you could know what we’re what we’re interested in and what we’re looking for.
76 00:07:48.530 ⇒ 00:07:48.990 Luke Daque: Yeah.
77 00:07:48.990 ⇒ 00:07:49.650 Mitchell Wright: Then
78 00:07:50.770 ⇒ 00:07:58.780 Mitchell Wright: and then we could. We can look at how that compares to the barometric stuff, and just try and identify where the differences are and what
79 00:07:59.370 ⇒ 00:08:01.869 Mitchell Wright: what’s causing those so that we can
80 00:08:02.730 ⇒ 00:08:07.420 Mitchell Wright: try and identify. You know what the definition is in bare metrics versus what we might be doing.
81 00:08:07.830 ⇒ 00:08:15.150 Uttam Kumaran: Yeah, exactly. That’s for. So for us, I was just like, okay, let’s just keep driving towards at least matching what’s in bare metrics.
82 00:08:15.350 ⇒ 00:08:22.459 Uttam Kumaran: Short term and then layering on everything else. So really, that’s like all the core financial metrics.
83 00:08:22.610 ⇒ 00:08:26.899 Uttam Kumaran: user metrics, and nailing that which I do think that we have
84 00:08:27.120 ⇒ 00:08:35.659 Uttam Kumaran: a good amount of those. So yeah, if you if you even have yeah, like, half hour to just do that, or I can even grab time on Monday. We want to go through that
85 00:08:37.710 ⇒ 00:08:46.879 Uttam Kumaran: And yeah, just sort of a mock up either. Kpis like time splits. I mean, there’s some of that is already exists here. But it’d be good to get like, okay, what’s the
86 00:08:47.120 ⇒ 00:08:49.860 Uttam Kumaran: what’s the like? 80 20 on that.
87 00:08:50.220 ⇒ 00:08:56.949 Mitchell Wright: Yeah, yeah, yeah, that makes sense. Okay, I’ll take a look at that.
88 00:08:58.520 ⇒ 00:08:59.610 Mitchell Wright: Let’s see.
89 00:09:00.580 ⇒ 00:09:07.509 Mitchell Wright: yeah. And then, is there some stuff that I owe you guys. I feel like I say this every time, and then I write stuff down, and then I don’t feel like I do it. But.
90 00:09:07.880 ⇒ 00:09:13.430 Uttam Kumaran: The only thing is, we were looking for some a couple of definitions, Luke, right.
91 00:09:13.430 ⇒ 00:09:17.819 Luke Daque: Yeah, like the the fields over here for organizations, for example.
92 00:09:18.820 ⇒ 00:09:25.109 Mitchell Wright: Okay, let me, okay, maybe maybe I need to just go through there and clean that up because a lot of that stuff is gonna be
93 00:09:26.462 ⇒ 00:09:28.750 Mitchell Wright: probably not relevant.
94 00:09:29.130 ⇒ 00:09:31.170 Mitchell Wright: So I’ll go. I’ll go through
95 00:09:34.250 ⇒ 00:09:40.300 Mitchell Wright: the bolt metric sheet again and do another run through of the ones that you guys have
96 00:09:41.110 ⇒ 00:09:43.950 Mitchell Wright: have highlighted and just cleaned that stuff up.
97 00:09:44.840 ⇒ 00:09:48.889 Uttam Kumaran: Yeah, and and Mitch, if it’s easier I could. I could put an hour next week.
98 00:09:49.750 ⇒ 00:09:50.380 Luke Daque: The only one.
99 00:09:50.380 ⇒ 00:09:50.810 Uttam Kumaran: Through it.
100 00:09:50.810 ⇒ 00:09:53.989 Luke Daque: Session. Yeah, for each of those.
101 00:09:53.990 ⇒ 00:09:56.139 Mitchell Wright: That might be helpful. Yeah, just to.
102 00:09:57.050 ⇒ 00:09:58.270 Uttam Kumaran: I feel like in an hour.
103 00:09:58.270 ⇒ 00:10:00.080 Mitchell Wright: We can sort of walk and do it.
104 00:10:00.080 ⇒ 00:10:00.520 Uttam Kumaran: Yeah.
105 00:10:00.520 ⇒ 00:10:01.310 Luke Daque: Yeah.
106 00:10:02.780 ⇒ 00:10:06.139 Mitchell Wright: Somebody out on Monday.
107 00:10:09.070 ⇒ 00:10:13.460 Mitchell Wright: It’s a holiday. But Tuesday super.
108 00:10:13.460 ⇒ 00:10:16.390 Uttam Kumaran: Free on Wednesday, Tuesday. I’m sort of free
109 00:10:16.520 ⇒ 00:10:19.480 Uttam Kumaran: around. Probably like I’m free around noon.
110 00:10:21.100 ⇒ 00:10:21.750 Uttam Kumaran: Your time.
111 00:10:22.121 ⇒ 00:10:24.350 Mitchell Wright: I’m sorry on Wednesday you said.
112 00:10:24.630 ⇒ 00:10:29.010 Uttam Kumaran: On Wednesday. I’m like free almost the entire day, so I can do the morning.
113 00:10:29.010 ⇒ 00:10:32.139 Mitchell Wright: I could do 11 mountain time.
114 00:10:32.550 ⇒ 00:10:33.250 Uttam Kumaran: Okay.
115 00:10:34.480 ⇒ 00:10:36.239 Mitchell Wright: Would work for me on Wednesday.
116 00:10:36.700 ⇒ 00:10:43.659 Uttam Kumaran: Alright. Let’s just do that, and then we’ll just because we can just knock out a bunch of stuff and then get your feedback on real. Get some of the definitions on
117 00:10:43.860 ⇒ 00:10:49.379 Uttam Kumaran: some of these metrics, and then we’ll we’ll also can just like, compare and contrast some stuff with bear metrics.
118 00:10:50.020 ⇒ 00:10:50.570 Luke Daque: Yeah.
119 00:10:50.800 ⇒ 00:10:52.290 Mitchell Wright: Okay, love. It.
120 00:10:52.930 ⇒ 00:10:56.140 Luke Daque: Cool anything else.
121 00:10:59.470 ⇒ 00:11:08.999 Luke Daque: Anything else you want to discuss like, do we? Do we have any other like integrations that need to be done like Hubspot. I I saw Hubspot here, but I’m not sure.
122 00:11:09.000 ⇒ 00:11:15.990 Mitchell Wright: Yeah, yeah, Hubspot’s in there. But we’re not actively using hubspot right now. We’re we’re setting it up. So.
123 00:11:16.240 ⇒ 00:11:16.750 Luke Daque: Okay.
124 00:11:17.205 ⇒ 00:11:21.760 Mitchell Wright: Yeah, we’re not fully fully there yet. There is.
125 00:11:22.700 ⇒ 00:11:25.727 Mitchell Wright: Yeah, it looks like we already have the post address
126 00:11:26.350 ⇒ 00:11:27.270 Luke Daque: As well.
127 00:11:27.740 ⇒ 00:11:32.436 Mitchell Wright: Yeah, so there should be 2. There’s the stack Blitz production, and then the bolt.
128 00:11:34.860 ⇒ 00:11:35.570 Luke Daque: Hmm!
129 00:11:37.430 ⇒ 00:11:39.700 Luke Daque: I don’t think there’s this one, this one. Yeah.
130 00:11:39.700 ⇒ 00:11:40.880 Mitchell Wright: Yeah, yeah, yeah.
131 00:11:41.700 ⇒ 00:11:43.089 Luke Daque: Okay. Cool.
132 00:11:45.000 ⇒ 00:11:50.400 Mitchell Wright: and it it might also be helpful for me to just like run through and give some definitions on some of those.
133 00:11:51.803 ⇒ 00:11:57.939 Mitchell Wright: Actually, I haven’t looked at the Github repo. Have you guys been doing docs at all?
134 00:11:59.500 ⇒ 00:12:01.570 Uttam Kumaran: Nothing like super serious.
135 00:12:02.160 ⇒ 00:12:04.160 Uttam Kumaran: I mean, the models are pretty.
136 00:12:05.329 ⇒ 00:12:07.929 Uttam Kumaran: We just have like one Pr, that I think.
137 00:12:08.320 ⇒ 00:12:10.560 Uttam Kumaran: Luke, we can get merged. But.
138 00:12:12.460 ⇒ 00:12:15.970 Luke Daque: Yeah, it’s basically just the models that they have, like
139 00:12:16.190 ⇒ 00:12:23.355 Luke Daque: subscriptions, users and organizations, but nothing related to like sources. For instance, like
140 00:12:25.520 ⇒ 00:12:27.880 Luke Daque: what they’re for, and stuff like that.
141 00:12:28.490 ⇒ 00:12:35.710 Mitchell Wright: Yeah, okay, that makes sense. Cool.
142 00:12:40.100 ⇒ 00:12:44.759 Uttam Kumaran: Yeah, if you just go into dB, 3 projects and you go into the models, you’ll see like the core.
143 00:12:44.760 ⇒ 00:12:45.280 Mitchell Wright: Yeah.
144 00:12:45.280 ⇒ 00:12:48.110 Uttam Kumaran: Models for postgres, core models for stripe.
145 00:12:49.800 ⇒ 00:12:54.930 Uttam Kumaran: But then, I think on, I think one thing that could be helpful is
146 00:12:55.830 ⇒ 00:13:02.869 Uttam Kumaran: maybe like if you could give us a screenshot of like bare metrics, for, like Jan end to end.
147 00:13:03.170 ⇒ 00:13:06.499 Uttam Kumaran: then we get start to validate our numbers against what’s coming from there.
148 00:13:06.500 ⇒ 00:13:07.369 Mitchell Wright: Yeah, exactly.
149 00:13:07.724 ⇒ 00:13:15.370 Uttam Kumaran: And then that will basically help us, just like keep driving towards replicating that and and rail.
150 00:13:16.080 ⇒ 00:13:19.399 Mitchell Wright: Yeah, okay, yeah, I can definitely do that.
151 00:13:19.520 ⇒ 00:13:20.690 Mitchell Wright: It’s a great idea.
152 00:13:22.700 ⇒ 00:13:28.650 Uttam Kumaran: And then we’re just gonna go. We’re we’re basically looking through segment to identify those events.
153 00:13:31.100 ⇒ 00:13:35.880 Uttam Kumaran: yeah, I feel like that. That’s what we’re spending a little bit of time on today, too. So.
154 00:13:36.430 ⇒ 00:13:37.060 Mitchell Wright: Okay.
155 00:13:40.090 ⇒ 00:13:44.640 Mitchell Wright: so get bare metrics or
156 00:13:47.890 ⇒ 00:13:48.930 Mitchell Wright: your tongue.
157 00:13:49.760 ⇒ 00:13:50.980 Mitchell Wright: Okay? Great.
158 00:13:58.170 ⇒ 00:14:05.060 Mitchell Wright: Oh, yeah. Cause I. Okay, I did actually do the things I had written down last time, which were connecting segment and getting the plan names for you.
159 00:14:05.290 ⇒ 00:14:06.010 Uttam Kumaran: Yes.
160 00:14:08.560 ⇒ 00:14:09.290 Mitchell Wright: Cool.
161 00:14:09.850 ⇒ 00:14:10.820 Mitchell Wright: Okay.
162 00:14:14.980 ⇒ 00:14:16.480 Mitchell Wright: sweet.
163 00:14:18.760 ⇒ 00:14:19.700 Mitchell Wright: Okay.
164 00:14:20.390 ⇒ 00:14:21.860 Mitchell Wright: Awesome. Yeah. I think that should.
165 00:14:21.860 ⇒ 00:14:24.749 Uttam Kumaran: That’ll be it. So then I just sent the invite for Wednesday.
166 00:14:24.750 ⇒ 00:14:25.340 Uttam Kumaran: Okay, and then
167 00:14:25.340 ⇒ 00:14:31.800 Uttam Kumaran: we’ll probably, I think, Luke, let’s see if we can get to something on the segment side that we could. We can review on Wednesday.
168 00:14:31.990 ⇒ 00:14:34.359 Luke Daque: Yeah. So anything from here. Yeah.
169 00:14:35.590 ⇒ 00:14:36.330 Uttam Kumaran: Cool.
170 00:14:37.070 ⇒ 00:14:37.710 Luke Daque: And 50
171 00:14:37.710 ⇒ 00:14:44.069 Luke Daque: for for these like messages sent. Would you like probably want to see a a daily, or something.
172 00:14:45.100 ⇒ 00:14:45.830 Luke Daque: or like.
173 00:14:48.270 ⇒ 00:14:51.300 Mitchell Wright: Sorry so.
174 00:14:51.500 ⇒ 00:14:52.240 Luke Daque: Which is.
175 00:14:52.520 ⇒ 00:14:57.329 Mitchell Wright: I think I think, for now just any kind of cleanup to give us like a
176 00:14:57.670 ⇒ 00:15:11.199 Mitchell Wright: basically like a ledger. So every event that is in there, but just in, like whatever kind of cleaned up view. And then I think at some point, we’ll want to. Yeah, do some pre aggregation.
177 00:15:11.490 ⇒ 00:15:12.200 Luke Daque: Okay.
178 00:15:13.032 ⇒ 00:15:17.359 Mitchell Wright: For? Yeah, like, daily counts per user. Kind of thing.
179 00:15:17.800 ⇒ 00:15:18.680 Luke Daque: Gotcha.
180 00:15:19.480 ⇒ 00:15:24.459 Luke Daque: So I guess, for now, maybe just like a cleaned up version of the messages.
181 00:15:24.460 ⇒ 00:15:28.690 Mitchell Wright: Yeah, cause like, there’s a bunch of stuff in there that’s probably not really relevant.
182 00:15:29.170 ⇒ 00:15:30.900 Luke Daque: Okay. Sounds good.
183 00:15:31.850 ⇒ 00:15:41.089 Mitchell Wright: Oh, one other question is, is there? Is there like a page view event in segment that you
184 00:15:41.220 ⇒ 00:15:42.790 Mitchell Wright: I’ve seen anywhere.
185 00:15:45.217 ⇒ 00:15:46.709 Luke Daque: This page is.
186 00:15:48.530 ⇒ 00:15:51.859 Mitchell Wright: What are the columns on that? Yeah, data preview is great.
187 00:15:57.830 ⇒ 00:16:00.430 Mitchell Wright: Yeah, I think this is this looks like, pay.
188 00:16:00.430 ⇒ 00:16:04.339 Luke Daque: Yeah, this looks, yeah, it looks like it’s like it has the Urls.
189 00:16:06.440 ⇒ 00:16:07.320 Mitchell Wright: Nice?
190 00:16:07.750 ⇒ 00:16:17.120 Mitchell Wright: Okay, yeah, that that would be another one to maybe just take a look at because, we’re gonna need to start being able to
191 00:16:19.460 ⇒ 00:16:27.359 Mitchell Wright: just track like conversions by utm parameters, because we’re starting to spin up some paid ads and stuff so.
192 00:16:28.190 ⇒ 00:16:28.760 Uttam Kumaran: Okay.
193 00:16:29.010 ⇒ 00:16:30.550 Mitchell Wright: That’s another thing that will.
194 00:16:32.610 ⇒ 00:16:33.980 Uttam Kumaran: And then, Mitch.
195 00:16:33.980 ⇒ 00:16:39.809 Uttam Kumaran: can I like, if I can I if I just go in and create like a bold account? I sort of want to look at the
196 00:16:40.080 ⇒ 00:16:43.960 Uttam Kumaran: different page. What do you call it? Like the
197 00:16:45.060 ⇒ 00:16:50.360 Uttam Kumaran: the different paths, basically, and start to isolate the buttons. And I’ll probably even look to see
198 00:16:50.520 ⇒ 00:16:56.770 Uttam Kumaran: which events cause. I think I just need a visual to sort of be able to see what each of these events are. Can I just go in and create
199 00:16:56.880 ⇒ 00:16:57.820 Uttam Kumaran: an account.
200 00:16:58.360 ⇒ 00:17:01.070 Mitchell Wright: Yeah. Yeah. The free tier should get you.
201 00:17:01.070 ⇒ 00:17:01.780 Uttam Kumaran: Okay.
202 00:17:01.780 ⇒ 00:17:03.129 Mitchell Wright: What you need? Yeah.
203 00:17:03.630 ⇒ 00:17:04.430 Uttam Kumaran: Okay. Great.
204 00:17:08.479 ⇒ 00:17:09.469 Mitchell Wright: Awesome.
205 00:17:10.359 ⇒ 00:17:15.569 Uttam Kumaran: Okay, great. So we’ll keep pushing. And then, yeah, I think Wednesday, just a working session would get us pretty far.
206 00:17:15.569 ⇒ 00:17:16.049 Luke Daque: Yeah.
207 00:17:16.050 ⇒ 00:17:18.613 Mitchell Wright: Awesome. Yeah, yeah, that’s a great idea.
208 00:17:19.310 ⇒ 00:17:23.039 Mitchell Wright: to just have me sit down and work on some stuff for you guys. I like.
209 00:17:23.040 ⇒ 00:17:32.759 Uttam Kumaran: Yeah. And then, hopefully, we can have some sort of dashboard that we can begin to poke at, and then I don’t know if we. I sort of want to get something where we can see data. And it’s
210 00:17:32.980 ⇒ 00:17:42.470 Uttam Kumaran: you’re like, Okay, cool. This is like much more. This is much better than what we’re getting out of bare metrics, and maybe we can. Even you can even send it to some people internally to poke around at.
211 00:17:42.630 ⇒ 00:17:43.159 Mitchell Wright: We get some feedback.
212 00:17:43.160 ⇒ 00:17:43.760 Uttam Kumaran: Back.
213 00:17:44.160 ⇒ 00:17:46.960 Mitchell Wright: Yes, yes, love it.
214 00:17:48.270 ⇒ 00:17:48.940 Uttam Kumaran: Okay.
215 00:17:49.560 ⇒ 00:17:50.630 Mitchell Wright: Cool, awesome.
216 00:17:51.450 ⇒ 00:17:53.709 Mitchell Wright: Alright, thanks, Mitch. Enjoy the snow.
217 00:17:53.710 ⇒ 00:17:58.647 Mitchell Wright: Some guys, yeah, have to go. Do just a little more shoveling. But
218 00:18:00.070 ⇒ 00:18:01.940 Mitchell Wright: okay, cool. We’ll catch you guys later.
219 00:18:01.940 ⇒ 00:18:04.060 Uttam Kumaran: Friday. I hope you enjoy your day.
220 00:18:04.250 ⇒ 00:18:05.889 Mitchell Wright: Thank you, happy.
221 00:18:05.890 ⇒ 00:18:07.209 Luke Daque: Valentine’s day. By the way.
222 00:18:07.210 ⇒ 00:18:07.690 Uttam Kumaran: Happy Valley.
223 00:18:07.690 ⇒ 00:18:12.059 Mitchell Wright: Oh, yeah, yeah, no. I already went and got some some flowers for my wife. So.
224 00:18:12.607 ⇒ 00:18:13.702 Uttam Kumaran: Good! Move!
225 00:18:14.250 ⇒ 00:18:16.139 Mitchell Wright: Yeah, okay, catch you guys, later, bye.
226 00:18:16.140 ⇒ 00:18:16.760 Uttam Kumaran: See you. Thanks.