Meeting Title: Stella-Weekly-Regroup Date: 2024-06-27 Meeting participants: Nicolas Sucari, Robert Tseng, Uttam Kumaran, Nick Baker, Patricktrainer


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1 00:00:26.100 00:00:26.820 Robert Tseng: And Nick.

2 00:00:27.790 00:00:28.989 Nick Baker: Hey? What’s going on, man?

3 00:00:30.680 00:00:31.930 Robert Tseng: Long time to see.

4 00:00:32.090 00:00:35.520 Nick Baker: Seriously. You go on a you got a little vacation in.

5 00:00:35.520 00:00:38.399 Robert Tseng: Yeah, yeah, I was. I was in Panama the past week.

6 00:00:38.400 00:00:40.070 Nick Baker: Oh, sick! That’s awesome!

7 00:00:40.070 00:00:40.870 Robert Tseng: Yeah.

8 00:00:41.250 00:00:42.819 Robert Tseng: was. It was good.

9 00:00:43.100 00:00:44.290 Nick Baker: Have you been before?

10 00:00:44.510 00:00:46.335 Robert Tseng: I have not 1st time.

11 00:00:47.450 00:00:50.280 Nick Baker: What was your what was your impression? I’m assuming you saw the canal.

12 00:00:50.580 00:00:55.769 Robert Tseng: Yeah, the canal was. I mean, it’s just incredible that that was man made.

13 00:00:56.410 00:00:58.899 Robert Tseng: yeah, I mean, it’s the largest man-made

14 00:00:59.040 00:01:01.380 Robert Tseng: like canal. Right? So

15 00:01:02.050 00:01:02.830 Nick Baker: Crazy.

16 00:01:03.080 00:01:06.160 Robert Tseng: Yeah, I mean, and I think something like

17 00:01:06.300 00:01:13.949 Robert Tseng: two-thirds of the world’s goods flow through that couldal. So like, I don’t know supposed to perspective. Just how important, just like a little

18 00:01:15.560 00:01:20.089 Robert Tseng: little gap between the 2 pieces of land masses like matter, so much.

19 00:01:20.090 00:01:40.639 Nick Baker: To be so pivotally important to all society. Yeah, I know it’s crazy. It’s it’d be a really yeah. It’s it’s a. It’s a really incredible feat. It’s 1 of those things where I think I’m like, oh, why would I like if I go all the way there like I want to go hang out like in cooler places. I don’t want to see this like canal, and then it’s like, Wait, no, it’s actually really sick, like what it does is incredible.

20 00:01:40.640 00:01:41.210 Robert Tseng: Yeah.

21 00:01:43.050 00:01:44.150 Robert Tseng: And Nico.

22 00:01:44.610 00:01:46.110 Nicolas Sucari: Guys, how are you.

23 00:01:46.590 00:01:47.250 Robert Tseng: Yet.

24 00:01:48.320 00:01:51.249 Nicolas Sucari: You know, I I actually have family living in Panama, Panama.

25 00:01:51.250 00:01:52.590 Robert Tseng: Oh, oh, no way!

26 00:01:52.590 00:02:04.995 Nicolas Sucari: So I I went like a couple of times, and every time I go Canal is kind of crazy. It’s something that I always like to go on. Yeah, take a look because it’s impressive.

27 00:02:06.315 00:02:06.660 Robert Tseng: Sure.

28 00:02:07.360 00:02:11.269 Nick Baker: Migo, how are you feeling about? Argentina and Nico America?

29 00:02:12.490 00:02:13.580 Nicolas Sucari: Really good, I mean.

30 00:02:13.580 00:02:15.348 Nick Baker: Yeah, you, feeling, strong.

31 00:02:15.790 00:02:23.050 Nicolas Sucari: Yeah, for now we’re doing great and we have messy and messy is amazing. You know.

32 00:02:23.050 00:02:26.490 Nick Baker: Messy mess. Of course. Messy messy truly the best

33 00:02:27.110 00:02:27.610 Nick Baker: I

34 00:02:29.500 00:02:33.295 Nicolas Sucari: Yeah, I’m I’m I’m travelling. I’m turning to us next week.

35 00:02:34.190 00:02:38.550 Nicolas Sucari: And I’m gonna I’m gonna be there for the final. I’m gonna be in in Miami.

36 00:02:39.120 00:02:45.749 Nicolas Sucari: I don’t know if I’m Gonna get tickets or stuff, but I I don’t know yet. Let’s hope Argentina makes it to the final. Let’s see.

37 00:02:45.750 00:02:46.690 Nick Baker: That

38 00:02:47.570 00:03:00.209 Nick Baker: that. Yeah, I was gonna say, I gotta. You gotta wait. You gotta wait to say anything about that. But I really wanted to go to the match against Chile, which would have been so much fun. But the tickets were just really expensive.

39 00:03:01.156 00:03:02.890 Nick Baker: And it started late.

40 00:03:03.410 00:03:12.889 Nicolas Sucari: Yeah, on Saturday he’s playing again against Peru, but probably missing won’t won’t be playing there. I don’t know where is that match.

41 00:03:13.280 00:03:22.829 Nicolas Sucari: But then I think that on 4th of July they, if Argentina finish 1st in the group, they will be playing in Houston. I know where you are, but if you are in.

42 00:03:22.830 00:03:26.585 Nick Baker: Yeah, I’m I’m in. I’m in. I’m in New York. But I’m gonna be heading to

43 00:03:27.170 00:03:31.160 Nick Baker: I’m gonna be heading to Colorado where I’m from.

44 00:03:32.375 00:03:32.710 Nicolas Sucari: Okay.

45 00:03:32.710 00:03:41.360 Nick Baker: On the 4.th So I’m I’m not gonna have a chance to. I’m not gonna have a chance to see him. I feel like, yeah, I if I wanted to get tickets for this, I should have done it months ago, and I just never. I never did it.

46 00:03:41.360 00:03:45.120 Nicolas Sucari: Oh, I I don’t think so. I mean like.

47 00:03:45.120 00:03:46.110 Nick Baker: Maybe I’ll find something cheap.

48 00:03:46.110 00:03:48.470 Nicolas Sucari: Resale. Yeah. Well.

49 00:03:48.990 00:03:49.510 Nick Baker: Any.

50 00:03:49.510 00:03:51.750 Nicolas Sucari: Argentina is not gonna be cheap. Any match.

51 00:03:52.271 00:03:53.960 Nick Baker: Yeah, but I could go see something.

52 00:03:54.030 00:03:57.709 Nick Baker: See what the other Copa Medica matches are that are at metlife

53 00:03:58.520 00:03:59.555 Nick Baker: in New Jersey.

54 00:04:01.570 00:04:05.129 patricktrainer: I’m only a few hours away from Houston Nika.

55 00:04:06.950 00:04:16.740 Nicolas Sucari: Yeah. So if if Argentina wins on Saturday, yeah, it will play on the 4th of July in Houston. I don’t know the name of the stadium there, but.

56 00:04:16.740 00:04:17.059 patricktrainer: Oh, right!

57 00:04:17.060 00:04:18.059 Nicolas Sucari: We playing there.

58 00:04:18.310 00:04:18.860 Robert Tseng: Hmm.

59 00:04:20.000 00:04:21.808 Nicolas Sucari: You can look for tickets.

60 00:04:22.560 00:04:25.130 Nicolas Sucari: probably they will be. Yeah.

61 00:04:25.220 00:04:30.439 Nicolas Sucari: not so expensive, but expense more expensive than like any other match. Global.

62 00:04:30.440 00:04:30.880 patricktrainer: Right.

63 00:04:30.880 00:04:34.839 Nicolas Sucari: Argina. When when Argentina plays, and because of messy, everything is like

64 00:04:36.270 00:04:37.120 Nicolas Sucari: expensive.

65 00:04:37.960 00:04:43.059 patricktrainer: Sweet. I just looked up a plane ticket. 50 bucks. Yeah, not bad.

66 00:04:43.060 00:04:43.650 Robert Tseng: Nice.

67 00:04:44.350 00:04:45.120 patricktrainer: That’d be really.

68 00:04:45.120 00:04:45.949 Nicolas Sucari: Like cold.

69 00:04:47.730 00:04:48.530 Nicolas Sucari: Yeah.

70 00:04:49.450 00:05:03.540 Nicolas Sucari: But yeah, same thing happened 2 years ago in Qatar Doha for the World Cup. I went there. And yeah, finding tickets, for Argentina was kind of crazy. You can find tickets for any other match, but

71 00:05:03.560 00:05:07.569 Nicolas Sucari: when Argentina plays it’s kind of crazy. It’s too difficult to get tickets.

72 00:05:09.300 00:05:11.229 Nicolas Sucari: And that’s just because of Nancy.

73 00:05:11.810 00:05:13.969 Nick Baker: Yeah, as I said, so that it’s messy.

74 00:05:14.240 00:05:15.089 Nick Baker: They’re not like, yeah.

75 00:05:15.090 00:05:15.660 Nicolas Sucari: So do you work.

76 00:05:15.660 00:05:16.040 Nick Baker: And the.

77 00:05:16.316 00:05:16.869 Nicolas Sucari: I mean.

78 00:05:17.580 00:05:19.590 Nicolas Sucari: totally worth it.

79 00:05:20.950 00:05:39.210 Nicolas Sucari: okay, so let’s start today. Guys, I know, Robert, you are in a hurry. So yeah, probably we can just go ahead and discuss. Nick. I’ve been seeing that you’ve been taking a look to the comments and Robert left on those tickets. I don’t know if you wanna ask anything else or share some progress on on those ones.

80 00:05:39.989 00:05:48.340 Nick Baker: And had time to do anything incremental today since the comments. But I can take a look at it right now, and and for some ideas together.

81 00:05:49.810 00:05:50.480 Nicolas Sucari: Okay.

82 00:05:51.950 00:06:01.469 Nick Baker: I think that the the main things that yeah, I saw. I saw that the the response on the slack channel about

83 00:06:01.929 00:06:19.870 Nick Baker: some of the like sabot stuff, so I can take a look at that and figure out how to how to get those outputs. I have have they looked at any of the outputs that exist so far? Do they have any feedback about like what they’re they’re like? All these numbers don’t make any sense or anything like that.

84 00:06:20.400 00:06:28.220 Robert Tseng: Yeah. Well, I guess I want I went through. I have more to share on that. I can even I don’t know how much of detail I want to go into on this call.

85 00:06:28.930 00:06:39.460 Robert Tseng: so pretty much. I sat down like multiple meetings with with their Pms. And yeah, just really what work through the quote, unquote items, table to understand

86 00:06:39.600 00:06:44.280 Robert Tseng: how to break down like there’s a field in the quotes table called total cost.

87 00:06:44.760 00:06:52.780 Robert Tseng: How does that break down into like all the different cost line items in the in the quote items. So.

88 00:06:53.183 00:06:57.829 Robert Tseng: yeah. Now, I know how that calculation works. And so I think I’m gonna paste some more

89 00:06:58.040 00:07:03.229 Robert Tseng: into that I can share with a couple of queries that I that I ran to kind of like, get get to that

90 00:07:04.474 00:07:05.880 Robert Tseng: get to that calculation?

91 00:07:06.466 00:07:10.823 Robert Tseng: But yeah, there’s it’s just there’s there’s gonna be some exceptions.

92 00:07:13.500 00:07:19.760 Robert Tseng: yeah, I don’t know. Would it be helpful just to kind of do a voiceover of it now? Or should I just like share the queries with you later.

93 00:07:20.173 00:07:25.090 Nick Baker: I think when we have for time, I think that you can. Probably you could just share them

94 00:07:25.120 00:07:30.539 Nick Baker: later. But let’s maybe we’ll do it at the end of this if we get through everything else. We can.

95 00:07:30.540 00:07:33.560 Robert Tseng: If anything, I’ll just record a loom video and then I’ll send it to you. Yeah.

96 00:07:33.560 00:07:45.959 Nick Baker: That’d be fine. I think that the one piece on on this, that or like even even talking about like that total cost field right if it is like an aggregation of those line items. But there’s exceptions. One thing that would be nice is if we

97 00:07:46.050 00:07:59.839 Nick Baker: could use that as like a testing element. We could always have it where it’s like, oh, these like these values should roll up to equal this value. Which is something that we could totally do, and then we could highlight when it doesn’t. But if it’s like a the exceptions are like

98 00:08:00.030 00:08:04.480 Nick Baker: expected. Then that ends up, not really being a reliable test.

99 00:08:04.880 00:08:12.450 Robert Tseng: Yeah, yeah, I ha, I do have a few like sample quotes that I made that I’ve been using to kind of like test different levels of complexity.

100 00:08:14.010 00:08:16.140 Robert Tseng: yeah. I mean, if I were to just like

101 00:08:16.750 00:08:18.110 Robert Tseng: at a high level.

102 00:08:18.490 00:08:19.270 Robert Tseng: add.

103 00:08:19.440 00:08:35.290 Robert Tseng: like the most basic quoting operation, where, if it just has one operation that’s like a very straightforward thing. But then, if it has like multiple operations, there’s even like a field that’s like 3rd party operations, it’s it can get a bit more complicated there and then. The 3rd bucket is like nested

104 00:08:36.350 00:08:38.790 Robert Tseng: like nested products. So

105 00:08:39.453 00:08:44.269 Robert Tseng: I think that’s like a common theme through a lot of their a lot of the

106 00:08:44.840 00:08:47.257 Robert Tseng: the quotes that come in where?

107 00:08:47.720 00:09:14.369 Robert Tseng: it’s not just like material like size and weight. But there’s like this concept of nesting where you’re trying to perform multiple operations on the same like thing. And so whenever it’s a case where there’s nesting. There’s a field in the quote items table that’s basically like a nesting id. So if we could turn that into like a Boolean or something, or like create an extra field for that. I think that’d be the easiest like if there is a nesting id, then

108 00:09:14.723 00:09:29.386 Robert Tseng: it’s a nesting operation, and this is the set of exceptions you have to use for nesting for for Nest quotes, and then, if not, then it’s it’s it’s normal. But hopefully, I’ll detail all that and put it into a video to record on Zoom later. But.

109 00:09:29.680 00:09:34.420 Nick Baker: Did you look at the the? What I did is the like initial nesting approach.

110 00:09:34.918 00:09:40.810 Robert Tseng: I did look at it. I didn’t actually run it on the same test that I did. So maybe I’ll kind of yeah, I’ll do that.

111 00:09:40.810 00:09:44.953 Nick Baker: Compare and comprast it to. I just I’m curious if like, if I was close

112 00:09:45.230 00:09:45.690 Robert Tseng: Okay.

113 00:09:45.690 00:09:52.849 Nick Baker: But yeah, you just giving me the the requirements there and giving me a version of it that pulls through. What you need is is perfect. I can. I can adapt that and and slot it in.

114 00:09:53.150 00:09:53.810 Robert Tseng: Okay? Bye.

115 00:09:56.140 00:10:02.019 Nick Baker: and then what was the other thing? So one of the other pieces

116 00:10:02.860 00:10:08.570 Robert Tseng: Was good. Yeah, I think that dimension table dimensional table works, if anything. There’s just

117 00:10:09.148 00:10:13.312 Robert Tseng: we’re trying to pull through like some custom fields from Hubspot.

118 00:10:14.740 00:10:31.853 Robert Tseng: I don’t know if we’re able to do this, but like Maxio, is like their payment. It’s it’s basically like their netsuite. It’s like their revenue tool that they now like pipe into Hubspot. I don’t know if you can extract Maxio data using the Hubspot connector and pulling it out of Hubspot

119 00:10:32.560 00:10:35.329 Robert Tseng: or if we need to set up another connector for Maxio.

120 00:10:35.360 00:10:42.220 Robert Tseng: I ideally, I would just pull from the same one. But I I think that’s that’s like a question mark for me, and I don’t know if we could do that.

121 00:10:42.740 00:10:45.360 Nicolas Sucari: Do they have any documentation or anything.

122 00:10:45.510 00:10:48.440 Nicolas Sucari: Maxio, that we can probably look into.

123 00:10:49.326 00:10:54.870 Robert Tseng: There’s not, I mean, there’s Maxio 5 like 5 Trend Maxio like documentation. But there’s nothing

124 00:10:55.130 00:10:56.719 Robert Tseng: I didn’t find anything on

125 00:10:57.020 00:11:00.430 Robert Tseng: pulling Maxio specifically out of Hubspot.

126 00:11:03.800 00:11:04.440 Nicolas Sucari: Okay.

127 00:11:07.040 00:11:17.460 Nick Baker: 1 1 question I have to use like regarding the prioritization. So what is the client want first? st Do they care more about the quote stuff. Get that knocked out, and then move on to Hubspot.

128 00:11:17.460 00:11:21.170 Robert Tseng: Yeah, the quote stuff, I think, is more important. Yeah.

129 00:11:22.520 00:11:25.890 Nick Baker: Great. Yeah, that’s good enough for me, I think. Yeah, getting the

130 00:11:26.295 00:11:55.890 Nick Baker: just getting some more guidance on how to resolve the discrepancies, also any of like any fields or anything that’s missing from those existing tables that already wrote would be good. And I think maybe some. If if there’s any additional like, join feedback that I’ll need. It kind of depends, I think, right now it’s fine items rolling up into a quote. So it’s pretty easy. But if we do leverage any of the like additional other tables, I might have questions there that I’ll just have to ping you on.

131 00:11:56.130 00:12:09.287 Robert Tseng: Yeah, we’re just joining like users and organizations table to it. That’s 1 of the outputs will be like a which I’ll I’ll I’ll clear that up in the Google Sheet. I know you were asking for that like table breakout. But it’s basically like

132 00:12:09.760 00:12:23.539 Robert Tseng: customer level quote data. So like people could just see. Oh, this customer number of quotes quote value whatever so like that kind of like customer aggreg, like level of customer aggregation, I think, is probably like the

133 00:12:23.670 00:12:27.120 Robert Tseng: like, the end, the end table that we can spit out to them.

134 00:12:27.720 00:12:28.320 Nick Baker: Cool.

135 00:12:28.600 00:12:30.189 Nick Baker: Okay, yeah, that sounds good.

136 00:12:30.980 00:12:31.690 Nick Baker: Yeah.

137 00:12:33.710 00:12:43.200 Nick Baker: Okay. That’s that’s I think all it is from my side. I know we get like the elementary setup. I don’t know if that’s something that you’ve looked at yet, or if that is something that we

138 00:12:43.420 00:12:52.750 Nick Baker: I guess maybe we just postpone until we actually have like quality data. Anyways, like it’s set up of it doesn’t really matter until we have validated outputs. Right? So

139 00:12:54.740 00:12:55.420 Nick Baker: yeah.

140 00:12:56.950 00:13:01.389 Robert Tseng: Yeah, with elementary setup is is that just for like error, tracking or.

141 00:13:01.890 00:13:31.330 Nick Baker: Yeah, basically, it’s like testing freshness, Sarah, tracking all that stuff. That’ll be just, I guess. Maybe like, if once we get a validated data set. I think the feedback that I would request is just like when the stakeholders identify things that don’t make sense. I would want to use like, create a feedback cycle there to make sure that we then integrate the testing in so that we can be more proactive about it. Going forward. I think like, from not having a touch point with them myself. It means that I don’t hear that, so we’ll just have to rely on you to to pass that back.

142 00:13:31.720 00:13:32.330 Robert Tseng: Yeah.

143 00:13:33.960 00:13:45.650 Robert Tseng: yeah, that that is something that I was on the radar. They were asking for some error error logging, because right now, like they don’t really have process for that. So I think yeah, we’ll we’ll we’ll get around to that after

144 00:13:46.140 00:13:46.620 Robert Tseng: cool.

145 00:13:46.620 00:13:47.470 Nick Baker: Sounds good.

146 00:13:49.150 00:13:54.490 Nicolas Sucari: Great. And then autumn. I don’t know if you’re around, but I’ve seen that you created something about real

147 00:13:54.782 00:13:58.730 Nicolas Sucari: are we gonna start using real there. Robert, do you know about that?

148 00:13:59.260 00:14:05.359 Uttam Kumaran: Yeah. So the ticket I just created was, we can use real locally and basically for free until

149 00:14:05.470 00:14:08.860 Uttam Kumaran: it’s it’s been helpful for data expiration, basically. And

150 00:14:09.601 00:14:16.460 Uttam Kumaran: Nick, it’s been helpful for us on the other clients just to like Debug really easily. And it’s

151 00:14:16.700 00:14:20.749 Uttam Kumaran: free. So we can. It’ll take like probably like an hour, to set everything up

152 00:14:21.414 00:14:24.239 Uttam Kumaran: and we can use it for expiration. And then.

153 00:14:24.492 00:14:30.029 Uttam Kumaran: Robert, you could still use it if you need it for stuff we need on our side, but I know we’re going with metabase for the

154 00:14:30.040 00:14:31.160 Uttam Kumaran: near future. So.

155 00:14:32.490 00:14:43.799 Robert Tseng: Yeah, yeah, I think real real running real locally would still be good just for answering questions that Springer would have. But I think for the rest of the org. Yeah, they they approve metabase. So we’re just gonna

156 00:14:43.880 00:14:46.200 Robert Tseng: be giving that. Yeah.

157 00:14:48.120 00:14:48.710 Robert Tseng: Great.

158 00:14:48.710 00:14:49.260 Nick Baker: That’s something.

159 00:14:49.260 00:14:49.960 Nicolas Sucari: Perfect

160 00:14:51.517 00:14:53.990 Nicolas Sucari: I don’t know if we have anything else, for now.

161 00:14:54.492 00:14:56.499 Robert Tseng: Quick thought on the

162 00:14:56.960 00:14:57.740 Robert Tseng: C.

163 00:14:58.300 00:15:05.637 Robert Tseng: So I know we’ve been like, you guys don’t have 5 train access anymore. Sorry for the back and forth on this, but like

164 00:15:06.320 00:15:08.299 Robert Tseng: so no, they don’t want to give

165 00:15:08.340 00:15:17.149 Robert Tseng: us what another account for everyone to share. They want to create separate contractor accounts for each person. So maybe just just need to get from you guys like

166 00:15:17.560 00:15:22.594 Robert Tseng: who’s gonna need a contractor account for. So if we could 5 trend access?

167 00:15:23.140 00:15:23.830 Robert Tseng: yeah.

168 00:15:26.746 00:15:27.660 Uttam Kumaran: That over

169 00:15:27.900 00:15:28.940 Uttam Kumaran: over slack!

170 00:15:28.940 00:15:29.420 Robert Tseng: Yeah.

171 00:15:29.827 00:15:31.050 Uttam Kumaran: It’ll probably be

172 00:15:32.970 00:15:36.409 Uttam Kumaran: I mean, it’ll probably be everyone on this call for Snowflake.

173 00:15:37.680 00:15:38.759 Uttam Kumaran: And then

174 00:15:39.200 00:15:40.160 Uttam Kumaran: probably

175 00:15:40.911 00:15:43.480 Uttam Kumaran: probably, Nick, you probably don’t need 5. Tran.

176 00:15:44.380 00:15:44.660 Uttam Kumaran: Yeah.

177 00:15:45.220 00:15:46.340 Nick Baker: Maybe not.

178 00:15:46.810 00:15:52.690 Uttam Kumaran: If they don’t care, I mean, I would do everybody. But if it’s going to be like a who is this person type of deal. Then we can be more careful.

179 00:15:53.190 00:15:57.699 Robert Tseng: Yeah, I mean, they said, anyone that i i i request access for. So

180 00:15:57.930 00:15:59.010 Robert Tseng: I’ll just ask.

181 00:15:59.010 00:16:02.309 Uttam Kumaran: Yeah, I mean, it’s it’s just the 4 of us. It’s just what just the 5 of us.

182 00:16:02.310 00:16:03.150 Robert Tseng: Okay.

183 00:16:03.150 00:16:05.290 Uttam Kumaran: Ideally we all have access, but.

184 00:16:05.290 00:16:06.390 Robert Tseng: Sure! Alright.

185 00:16:09.240 00:16:09.920 Nicolas Sucari: Perfect.

186 00:16:10.820 00:16:17.409 Nicolas Sucari: Okay, so we’re not gonna use brain brain forge, add, Congo, or something like that. Okay.

187 00:16:17.410 00:16:17.980 Robert Tseng: Yeah.

188 00:16:17.980 00:16:19.380 Uttam Kumaran: Art by them like

189 00:16:19.550 00:16:21.149 Uttam Kumaran: I don’t mind

190 00:16:21.160 00:16:25.330 Uttam Kumaran: we we did it because some sometimes it’s just annoying for clients, but if they’re

191 00:16:25.840 00:16:28.549 Uttam Kumaran: I’m down, if they’re down for more security so far.

192 00:16:29.130 00:16:29.870 Nicolas Sucari: Yeah.

193 00:16:30.110 00:16:30.440 Robert Tseng: Okay.

194 00:16:32.150 00:16:33.079 Nicolas Sucari: Perfect.

195 00:16:34.120 00:16:35.025 Nicolas Sucari: Okay.

196 00:16:36.280 00:16:37.350 Nicolas Sucari: Anything else.

197 00:16:40.394 00:16:45.256 Robert Tseng: I guess. Question on the users, roles, permissions. Okay, maybe I misunderstood this.

198 00:16:45.930 00:16:48.359 Robert Tseng: yeah, I know we wanted to.

199 00:16:51.700 00:16:58.027 Robert Tseng: I guess this is more, for I guess we’ve only been talking about S. Fab modeling and

200 00:16:58.560 00:17:06.509 Robert Tseng: Hubspot data with Hubspot applies to both Sf, and Stella. It’s the same same instance, same everything is same there.

201 00:17:07.319 00:17:19.000 Robert Tseng: So I guess the segmenting users by roles and permissions. That’s more for a seller request. We haven’t really touched that yet. So yeah, I guess, Nick, you’re saying, yeah, we’ll we’ll just pause on that until we get the other things taken care of.

202 00:17:19.463 00:17:22.369 Robert Tseng: But I think I’m gonna follow up shortly with

203 00:17:22.710 00:17:25.435 Robert Tseng: more, some more Stella specific.

204 00:17:27.930 00:17:34.269 Robert Tseng: well, I I haven’t actually looked at the cell data since it like it wasn’t in until like a couple of days ago.

205 00:17:34.754 00:17:43.270 Robert Tseng: But I imagine it will look similar to that. But I I think that’s just something I have to to go in 1st before we we could continue down that path.

206 00:17:51.760 00:17:52.480 Robert Tseng: creep.

207 00:17:56.683 00:17:57.219 Nicolas Sucari: It.

208 00:17:57.560 00:17:59.022 Nicolas Sucari: Yeah, I think,

209 00:17:59.950 00:18:01.089 Nicolas Sucari: they’re okay with that.

210 00:18:02.380 00:18:16.289 Nicolas Sucari: I’m gonna keep reviewing those issues that we have created in Github and Nick, if you think that we can split them up or just change anything so that we can make it like more accurate. And what we need to actually deliver. Let me know, and we can change them. Okay.

211 00:18:17.090 00:18:17.530 Nick Baker: Yeah.

212 00:18:17.530 00:18:24.359 Robert Tseng: So keep leaving comments on these issue threads. And if I need to create more new issues, I think that’s that’s the way you guys prefer to analyze.

213 00:18:24.360 00:18:25.460 Nicolas Sucari: Yeah, okay.

214 00:18:25.860 00:18:26.570 Robert Tseng: I’ll try to.

215 00:18:26.570 00:18:33.560 Nicolas Sucari: Yeah, so that we can have, like, if we have, like, accurate issues on what are the different parts or yeah, or like.

216 00:18:33.920 00:18:38.180 Nicolas Sucari: what we need to deliver. It will be like easier to track what we are doing. Okay.

217 00:18:38.180 00:18:38.490 Robert Tseng: Okay.

218 00:18:40.070 00:18:40.670 Robert Tseng: Sounds. Great.

219 00:18:40.670 00:18:51.110 Nicolas Sucari: Let me know if you, if you can create them, I just send me through slack, and I can create new ones or change what we have there, so that we can make them exactly what is needed.

220 00:18:51.500 00:18:52.170 Robert Tseng: Okay.

221 00:18:54.760 00:18:55.054 Nicolas Sucari: Okay.

222 00:18:56.744 00:18:58.100 Nicolas Sucari: thank you, guys.

223 00:18:58.220 00:19:00.869 Nicolas Sucari: Oh, let’s talk. Probably next week.

224 00:19:01.530 00:19:01.835 Robert Tseng: Yeah.

225 00:19:03.120 00:19:04.639 Robert Tseng: Alright, thanks. Guys.

226 00:19:05.510 00:19:06.909 Nicolas Sucari: Thanks, guys. Bye, bye.