Meeting Title: [Pool-Parts-to-Go]-Weekly-Sprint-Review Date: 2024-03-20 Meeting participants: Agustin, Ryan Luke Daque, Patrick Trainer, Uttam Kumaran


WEBVTT

1 00:00:20.710 00:00:21.090 Patrick Trainer: Hey!

2 00:00:21.480 00:00:23.279 Ryan Luke Daque: Hello! Hello! How’s it going?

3 00:00:23.280 00:00:24.129 Patrick Trainer: How’s it going.

4 00:00:25.450 00:00:26.744 Ryan Luke Daque: Yeah, I’m doing great. How are you?

5 00:00:27.840 00:00:29.219 Patrick Trainer: And not too bad.

6 00:00:31.000 00:00:33.590 Patrick Trainer: too bad. Let’s see.

7 00:00:34.310 00:00:39.180 Patrick Trainer: Sorry. I just ran a software update. And now everything’s

8 00:00:40.370 00:00:43.240 Patrick Trainer: trying to load all at the same time.

9 00:00:43.540 00:00:44.129 Ryan Luke Daque: Yeah.

10 00:00:44.790 00:00:47.889 Ryan Luke Daque: that happens, takes a while

11 00:00:48.060 00:00:50.899 Ryan Luke Daque: like uses up all the memory and stuff while it’s.

12 00:00:50.900 00:00:51.670 Patrick Trainer: Yeah.

13 00:00:52.870 00:00:54.609 Patrick Trainer: yeah, my CPU is like

14 00:00:55.700 00:01:00.130 Patrick Trainer: 150% computer. It’s about to take off.

15 00:01:00.280 00:01:02.090 Patrick Trainer: Fans are going so fast.

16 00:01:09.750 00:01:13.169 Ryan Luke Daque: I see you have a Rubik’s cube at the back.

17 00:01:13.360 00:01:14.500 Patrick Trainer: Oh, yeah.

18 00:01:14.793 00:01:18.020 Ryan Luke Daque: Is that, like your past time, hobby, or something? I also.

19 00:01:18.347 00:01:23.590 Patrick Trainer: It’s so. I I figured out how to solve it when I was in high school.

20 00:01:23.900 00:01:24.560 Ryan Luke Daque: Yeah.

21 00:01:24.560 00:01:25.980 Patrick Trainer: Oh, yeah, nice. You, too.

22 00:01:26.535 00:01:27.090 Ryan Luke Daque: Yeah.

23 00:01:27.350 00:01:30.480 Patrick Trainer: And now it’s just kinda like.

24 00:01:30.740 00:01:33.310 Patrick Trainer: like I always have to like fidget with something.

25 00:01:33.310 00:01:36.099 Ryan Luke Daque: Yeah, I did the same. That’s why I have it like.

26 00:01:36.100 00:01:36.420 Patrick Trainer: Yeah.

27 00:01:36.420 00:01:37.630 Ryan Luke Daque: Package it.

28 00:01:37.630 00:01:41.479 Patrick Trainer: Yeah. And I I can tell how you’re manipulating it that like you

29 00:01:41.490 00:01:44.400 Patrick Trainer: like, you know what you’re doing with the cube dude like.

30 00:01:44.730 00:01:46.940 Ryan Luke Daque: Yeah, I like, I I I got like

31 00:01:47.030 00:01:53.830 Ryan Luke Daque: addicted to this during the pandemic, like nothing to do. So I tried to like solve as fast as I can.

32 00:01:54.030 00:01:54.410 Patrick Trainer: Yeah.

33 00:01:54.410 00:01:58.050 Ryan Luke Daque: To a point where I can solve it in like less than 20 s.

34 00:01:58.270 00:01:59.300 Patrick Trainer: 20 s. Okay?

35 00:01:59.300 00:02:01.049 Ryan Luke Daque: But then I got like

36 00:02:01.610 00:02:02.820 Ryan Luke Daque: I can’t

37 00:02:03.100 00:02:04.790 Ryan Luke Daque: solve it any faster, and.

38 00:02:04.790 00:02:07.500 Patrick Trainer: Yeah, you can’t beat. Can’t beat the 20.

39 00:02:07.500 00:02:08.190 Ryan Luke Daque: Yeah.

40 00:02:08.720 00:02:09.409 Ryan Luke Daque: and they go.

41 00:02:09.419 00:02:10.179 Patrick Trainer: I was in a.

42 00:02:10.180 00:02:12.219 Ryan Luke Daque: And saying, it’s like 3 s or something.

43 00:02:12.220 00:02:12.630 Patrick Trainer: Yeah.

44 00:02:13.000 00:02:13.370 Ryan Luke Daque: Easy.

45 00:02:14.160 00:02:16.628 Patrick Trainer: I was in a coffee shop

46 00:02:17.640 00:02:25.610 Patrick Trainer: This is, this was like earlier, this like last summer, and there was a guy in there, and he had, like the pressure pad.

47 00:02:26.050 00:02:26.490 Ryan Luke Daque: Yeah.

48 00:02:26.490 00:02:36.999 Patrick Trainer: Like he was just like he was just practicing, solving. He was doing it in like 1110 s, like it was. Yeah, it was it was. It was really fast.

49 00:02:37.000 00:02:40.839 Ryan Luke Daque: That’s pretty fast. That’s that’s like one of the top queues in the world. Now, I guess.

50 00:02:41.673 00:02:43.340 Patrick Trainer: Yeah, yeah.

51 00:02:43.340 00:02:46.109 Ryan Luke Daque: Sub sub. 10 Si guess. Would you like.

52 00:02:46.110 00:02:50.130 Patrick Trainer: Yeah, I think he was like there was a I looked it up. I was in

53 00:02:50.935 00:02:52.709 Patrick Trainer: like Miami at the time.

54 00:02:52.940 00:03:04.879 Patrick Trainer: and there was like a convention going on, so I imagine it was like a a like a competition. But he was like he was in there. I was. I was working from the coffee shop that day.

55 00:03:05.540 00:03:09.690 Patrick Trainer: And he, like he was in there for as long as I was, which was like

56 00:03:09.710 00:03:11.550 Patrick Trainer: hours like all day.

57 00:03:11.820 00:03:12.709 Ryan Luke Daque: That’s all.

58 00:03:12.710 00:03:14.880 Patrick Trainer: That’s all he was doing. He was just like

59 00:03:15.250 00:03:17.080 Patrick Trainer: pressure pad, solve.

60 00:03:17.080 00:03:18.110 Ryan Luke Daque: Love it. Jesus.

61 00:03:18.110 00:03:21.650 Patrick Trainer: Slap it, and then and then just restart it.

62 00:03:22.270 00:03:23.300 Patrick Trainer: And

63 00:03:23.960 00:03:25.000 Patrick Trainer: yeah.

64 00:03:26.340 00:03:28.109 Patrick Trainer: have you tried the

65 00:03:28.210 00:03:32.409 Patrick Trainer: like? A a 4 by 4 or a 5 by 5 cube?

66 00:03:32.410 00:03:37.759 Ryan Luke Daque: Yeah, I have those as well. It takes a lot longer. But yeah, it’s it’s it’s

67 00:03:37.800 00:03:39.509 Ryan Luke Daque: those are solvable ones that.

68 00:03:39.510 00:03:40.930 Patrick Trainer: Yeah, yeah.

69 00:03:40.930 00:03:44.439 Ryan Luke Daque: I have. I even have those like weird, shaped ones like that.

70 00:03:44.440 00:03:45.060 Patrick Trainer: Oh, yeah. Yeah.

71 00:03:45.060 00:03:45.890 Ryan Luke Daque: Like nothing.

72 00:03:45.890 00:03:46.280 Patrick Trainer: Yeah.

73 00:03:46.886 00:03:48.099 Ryan Luke Daque: Triangle. And

74 00:03:48.230 00:03:48.704 Ryan Luke Daque: yeah.

75 00:03:50.200 00:03:51.865 Patrick Trainer: I had one

76 00:03:53.510 00:03:54.980 Patrick Trainer: where the

77 00:03:55.010 00:04:04.419 Patrick Trainer: the different colors were different like textures. So one was like sandpaper. One was like bumps.

78 00:04:04.580 00:04:08.879 Patrick Trainer: and you try and like, solve it without looking at it.

79 00:04:08.880 00:04:10.970 Ryan Luke Daque: Yeah, that’s that’s that’s hard.

80 00:04:10.970 00:04:13.565 Patrick Trainer: Yeah, it was. Really, it’s really difficult.

81 00:04:13.890 00:04:19.780 Ryan Luke Daque: I even have one that’s like different. I it’s all the same color, but different sizes.

82 00:04:21.690 00:04:28.359 Ryan Luke Daque: Yeah, like this one’s shorter, and the the other ones like longer and stuff. So it’s it’s really, it’s also very difficult to just.

83 00:04:28.360 00:04:29.240 Patrick Trainer: Yeah.

84 00:04:29.620 00:04:35.159 Ryan Luke Daque: As you base it on the size, make sure that all like one phase, has all the same sizes.

85 00:04:35.160 00:04:36.739 Patrick Trainer: All the same size. Okay.

86 00:04:38.060 00:04:41.729 Patrick Trainer: it’s funny, like, how like how these work like.

87 00:04:41.730 00:04:42.430 Ryan Luke Daque: Yeah.

88 00:04:42.840 00:04:43.580 Ryan Luke Daque: Alright.

89 00:04:43.580 00:04:44.190 Patrick Trainer: Yeah.

90 00:04:44.560 00:04:45.360 Ryan Luke Daque: It’s.

91 00:04:45.360 00:04:48.840 Patrick Trainer: It’s it’s a yeah. It’s a pretty smart little mechanism.

92 00:04:49.100 00:04:49.740 Ryan Luke Daque: Yeah.

93 00:04:53.240 00:04:59.979 Ryan Luke Daque: Wonder if anybody else is joining Augustin said. He’s not gonna be able to join, and I.

94 00:04:59.980 00:05:00.790 Patrick Trainer: Yeah.

95 00:05:01.410 00:05:05.710 Patrick Trainer: I mean, we don’t change. He he changed the meeting time, so I imagine.

96 00:05:05.710 00:05:06.570 Ryan Luke Daque: Right.

97 00:05:07.206 00:05:08.990 Patrick Trainer: Imagine he would be.

98 00:05:09.900 00:05:11.650 Ryan Luke Daque: Yeah, let’s try to

99 00:05:11.720 00:05:12.740 Ryan Luke Daque: being human.

100 00:05:13.100 00:05:14.000 Patrick Trainer: Yeah.

101 00:05:21.290 00:05:23.699 Patrick Trainer: here, I’ll I’ll send a message into that.

102 00:05:29.110 00:05:30.180 Patrick Trainer: There we go.

103 00:05:43.510 00:05:46.633 Patrick Trainer: Then I’ve seen a cube. It was

104 00:05:47.960 00:05:50.250 Patrick Trainer: it was like a 2 by 3.

105 00:05:50.810 00:05:53.349 Patrick Trainer: Hmm, it was yeah. And

106 00:05:53.910 00:05:55.750 Patrick Trainer: you know, it’s like, just

107 00:05:55.960 00:05:57.040 Patrick Trainer: just this part.

108 00:05:57.040 00:05:58.089 Ryan Luke Daque: Just that part.

109 00:05:58.090 00:05:59.030 Patrick Trainer: Yeah.

110 00:05:59.430 00:06:00.080 Patrick Trainer: And

111 00:06:01.500 00:06:09.589 Patrick Trainer: that one was actually it. It’s really difficult to solve. For some reason like you, you would think that it would be easier. But it was.

112 00:06:09.892 00:06:10.497 Ryan Luke Daque: Yeah, usually.

113 00:06:10.800 00:06:12.700 Patrick Trainer: It was, it was much harder.

114 00:06:12.700 00:06:14.279 Ryan Luke Daque: Is, there’s no center

115 00:06:14.410 00:06:15.239 Ryan Luke Daque: for that. Yeah.

116 00:06:16.970 00:06:18.590 Ryan Luke Daque: we do solve it differently.

117 00:06:18.750 00:06:21.380 Patrick Trainer: Yeah. Here once. One sec. I’ll be right back.

118 00:06:55.830 00:06:56.550 Patrick Trainer: Dude.

119 00:09:12.360 00:09:14.849 Ryan Luke Daque: I think the flight will come, replied

120 00:09:15.370 00:09:17.730 Ryan Luke Daque: does seem to be offline as well

121 00:09:18.480 00:09:20.110 Ryan Luke Daque: in slack. I can use.

122 00:09:20.880 00:09:22.030 Patrick Trainer: So I’ll send them a

123 00:09:22.990 00:09:24.439 Patrick Trainer: I’ll send them a text

124 00:09:25.270 00:09:25.980 Patrick Trainer: issue.

125 00:09:26.440 00:09:27.130 Patrick Trainer: May

126 00:10:00.750 00:10:01.440 Patrick Trainer: moved.

127 00:12:54.740 00:12:56.970 Patrick Trainer: Yeah, he didn’t text back. So

128 00:12:58.820 00:13:00.159 Patrick Trainer: maybe something’s up.

129 00:13:00.920 00:13:01.570 Ryan Luke Daque: Yeah.

130 00:13:02.760 00:13:03.780 Ryan Luke Daque: we can.

131 00:13:05.930 00:13:07.089 Ryan Luke Daque: I guess we can

132 00:13:07.180 00:13:09.400 Ryan Luke Daque: call back later when when he’s.

133 00:13:09.400 00:13:11.400 Patrick Trainer: Yeah. Yeah. That works for me.

134 00:13:11.700 00:13:13.319 Ryan Luke Daque: Yeah, oh, there you go.

135 00:13:13.925 00:13:14.379 Ryan Luke Daque: But.

136 00:13:14.380 00:13:15.229 Patrick Trainer: Look at that!

137 00:13:15.620 00:13:16.530 Ryan Luke Daque: Yeah.

138 00:13:19.636 00:13:20.189 Uttam Kumaran: On, that.

139 00:13:34.290 00:13:35.040 Patrick Trainer: Baby.

140 00:13:35.780 00:13:36.880 Uttam Kumaran: Hey, guys, can you hear me?

141 00:13:36.980 00:13:37.530 Uttam Kumaran: Yep, yep.

142 00:13:37.530 00:13:38.730 Ryan Luke Daque: We can hear you now.

143 00:13:39.230 00:13:44.049 Uttam Kumaran: Sorry I just got home, and then was about to join, and then had something come up and.

144 00:13:44.050 00:13:45.180 Patrick Trainer: No, all good.

145 00:13:45.330 00:13:45.970 Patrick Trainer: I’m not.

146 00:13:47.840 00:13:49.179 Uttam Kumaran: How’s everything going.

147 00:13:50.080 00:13:53.580 Patrick Trainer: Things are going good. We’ve just been talking about Rubik’s cubes.

148 00:13:54.450 00:13:56.008 Uttam Kumaran: Nice I I used to.

149 00:13:56.350 00:13:59.419 Uttam Kumaran: I used to speed cube for a while.

150 00:13:59.420 00:13:59.810 Ryan Luke Daque: Well, they have.

151 00:13:59.810 00:14:00.510 Patrick Trainer: Really.

152 00:14:00.690 00:14:01.050 Ryan Luke Daque: Like, how.

153 00:14:01.050 00:14:01.630 Uttam Kumaran: Yeah.

154 00:14:01.630 00:14:02.100 Ryan Luke Daque: So.

155 00:14:02.100 00:14:06.043 Uttam Kumaran: When I was a kid I bought used to buy a bunch of different cubes, and

156 00:14:06.450 00:14:09.410 Uttam Kumaran: like all the ones that you can breathe up and.

157 00:14:09.780 00:14:10.319 Patrick Trainer: Yeah, so.

158 00:14:10.320 00:14:12.580 Uttam Kumaran: Time like 14 s, was what it was.

159 00:14:12.580 00:14:13.760 Patrick Trainer: 14.

160 00:14:13.760 00:14:14.510 Ryan Luke Daque: Yeah, that’s nice.

161 00:14:14.510 00:14:15.660 Uttam Kumaran: 4 teams, I guess.

162 00:14:15.660 00:14:16.680 Ryan Luke Daque: It’s pretty fast.

163 00:14:17.300 00:14:17.940 Ryan Luke Daque: I guess. My.

164 00:14:17.940 00:14:18.880 Patrick Trainer: I run like illegal.

165 00:14:18.880 00:14:21.389 Ryan Luke Daque: 11, or something like fastest, but like

166 00:14:21.490 00:14:23.020 Ryan Luke Daque: average, maybe just

167 00:14:23.820 00:14:26.142 Ryan Luke Daque: 16 to 18. I don’t know.

168 00:14:27.250 00:14:38.090 Uttam Kumaran: I didn’t. I didn’t use any of like super advanced methods. I just basically got really good at dexterity. And then I got. And then I would just get lucky because I would do it. I would do a couple every minute, for, like an hour.

169 00:14:38.430 00:14:39.030 Ryan Luke Daque: Yeah.

170 00:14:39.590 00:14:40.510 Uttam Kumaran: Physical things.

171 00:14:41.020 00:14:41.740 Patrick Trainer: Yeah.

172 00:14:42.120 00:14:46.249 Patrick Trainer: yeah, I was in the like, 2030 range.

173 00:14:48.060 00:14:51.480 Uttam Kumaran: Oh, nice. Okay, I mean, dude. You’re right there. Then, basically.

174 00:14:51.480 00:14:52.904 Ryan Luke Daque: Yeah, that’s pretty fast.

175 00:14:53.750 00:14:56.710 Ryan Luke Daque: That’s already a speed kuber time. Yeah.

176 00:14:56.710 00:15:01.520 Uttam Kumaran: Yeah, it’s like, it’s just after that. It’s just basically you gotta get lucky on like the formation.

177 00:15:01.520 00:15:02.500 Patrick Trainer: Right.

178 00:15:03.180 00:15:06.390 Uttam Kumaran: And then that’s basically just like spots on goal.

179 00:15:06.710 00:15:07.820 Uttam Kumaran: I feel like.

180 00:15:08.220 00:15:09.160 Patrick Trainer: Right?

181 00:15:10.000 00:15:15.450 Patrick Trainer: I yeah. I was telling Ryan there’s I was in a coffee shop, and there’s a guy

182 00:15:15.460 00:15:17.550 Patrick Trainer: in there with those like

183 00:15:17.790 00:15:23.279 Patrick Trainer: I I was working out of the coffee shop, so I was there for like 6 6 or so hours.

184 00:15:23.340 00:15:27.780 Patrick Trainer: and he had. He had a pressure pad and his cube in the middle.

185 00:15:28.080 00:15:28.959 Uttam Kumaran: Yeah, yeah, yeah.

186 00:15:28.960 00:15:29.800 Patrick Trainer: It was like

187 00:15:30.820 00:15:35.330 Patrick Trainer: 8, 1011 s back to 8, like

188 00:15:35.430 00:15:43.219 Patrick Trainer: he was like. It was some of the fastest solves I had ever seen like in person, like, yeah, outside of Youtube, it was nuts.

189 00:15:43.866 00:15:50.869 Patrick Trainer: And like he was, he was laser focused, too, just like pad solve pad, solve

190 00:15:51.740 00:15:54.009 Patrick Trainer: like, and nuts for hours.

191 00:15:54.640 00:15:58.510 Uttam Kumaran: Yeah, that was one of the first things I like learned on Youtube when I was a kid.

192 00:15:58.730 00:15:59.130 Patrick Trainer: Really.

193 00:15:59.432 00:16:00.640 Uttam Kumaran: To do that. Yeah.

194 00:16:01.390 00:16:05.530 Patrick Trainer: Yeah, I had a is my physics teacher in high school.

195 00:16:05.670 00:16:08.770 Patrick Trainer: He was really into Rubik’s cubes, and

196 00:16:08.900 00:16:10.270 Patrick Trainer: like a big.

197 00:16:10.740 00:16:13.670 Patrick Trainer: I don’t know a portion of our class was like.

198 00:16:14.260 00:16:17.920 Patrick Trainer: we’re rubik skews a lot. Yeah, like a lot of people got into it.

199 00:16:18.080 00:16:20.870 Patrick Trainer: And it’s like this also speaks to the

200 00:16:21.040 00:16:25.230 Patrick Trainer: freaking nerds that we were, and all the kids went to school with.

201 00:16:25.645 00:16:29.910 Patrick Trainer: And but it’s like the whole class got Super into Rubik’s cubes.

202 00:16:30.170 00:16:30.829 Patrick Trainer: and

203 00:16:32.080 00:16:33.500 Patrick Trainer: like he would.

204 00:16:33.700 00:16:37.159 Patrick Trainer: He refused to teach us how to solve it.

205 00:16:37.190 00:16:41.969 Patrick Trainer: and it was like you. You have to figure it out yourself.

206 00:16:43.600 00:16:44.460 Uttam Kumaran: Wow! And.

207 00:16:44.460 00:16:46.280 Patrick Trainer: And so I spent like.

208 00:16:46.290 00:16:52.060 Patrick Trainer: that’s basically what I did. My senior year of high school was learn to solve a Rubik’s.

209 00:16:52.400 00:16:53.800 Uttam Kumaran: Wow! That’s crazy.

210 00:16:54.023 00:16:55.140 Patrick Trainer: Took it as a challenge.

211 00:16:55.140 00:16:56.070 Uttam Kumaran: Gratch.

212 00:16:56.860 00:17:00.109 Patrick Trainer: Yeah, it’s so like his thing was, he’s like.

213 00:17:00.640 00:17:04.100 Patrick Trainer: just pick 1 one of the blocks

214 00:17:04.339 00:17:05.849 Patrick Trainer: and just like

215 00:17:06.119 00:17:08.439 Patrick Trainer: move it around enough

216 00:17:08.530 00:17:20.075 Patrick Trainer: to like, and just like, keep manipulating the cube to where, like, you know how each piece moves, and and then you’ll then and then you’ll figure it out.

217 00:17:20.460 00:17:23.730 Uttam Kumaran: Yeah, yeah, that makes sense. But, Phil, it’s

218 00:17:24.500 00:17:28.979 Uttam Kumaran: it’s hard, like I was able to learn the patterns pretty quickly. And so that helped a ton.

219 00:17:29.310 00:17:30.180 Patrick Trainer: Right.

220 00:17:33.670 00:17:35.210 Patrick Trainer: It’s still like a great.

221 00:17:35.210 00:17:42.922 Uttam Kumaran: So, for, like an enterprising nerdy kid like someone could have told me to do that. I’m just happy like my parents. Let me buy a bunch of them, and

222 00:17:43.695 00:17:44.210 Patrick Trainer: Yeah.

223 00:17:44.210 00:17:45.120 Uttam Kumaran: Yeah.

224 00:17:46.670 00:17:51.909 Ryan Luke Daque: That that became my past time during the pandemic, like I also like bought a couple of them.

225 00:17:52.500 00:17:53.250 Ryan Luke Daque: I think.

226 00:17:53.250 00:18:02.620 Uttam Kumaran: I mean now it must be like there, but they must go in the dark, and like I would light up and play music and everything like, yeah, I was on like forums like reading about like.

227 00:18:03.110 00:18:06.580 Uttam Kumaran: it’s almost like how mechanical keyboards are right now in terms of like

228 00:18:06.630 00:18:09.869 Uttam Kumaran: the specs. And everything is like what I use to read on my credit.

229 00:18:10.090 00:18:10.750 Patrick Trainer: There you go.

230 00:18:10.900 00:18:12.339 Patrick Trainer: I had that. Yeah.

231 00:18:12.340 00:18:14.075 Ryan Luke Daque: Yeah, there’s still more.

232 00:18:17.210 00:18:20.868 Patrick Trainer: Yeah, I was telling Ryan that like I’ve played with one. It was

233 00:18:21.280 00:18:27.589 Patrick Trainer: Oh, you had like sandpaper on one face. There was like bumps on another face. There’s like.

234 00:18:27.590 00:18:28.660 Uttam Kumaran: Oh, don’t!

235 00:18:28.990 00:18:40.259 Patrick Trainer: And so like the idea, like it was all it all tactically felt, differently or different. And so the idea was to like solve it by touch, like, without

236 00:18:40.600 00:18:41.800 Patrick Trainer: looking at it.

237 00:18:42.580 00:18:44.510 Uttam Kumaran: Yeah, it was interesting. It was.

238 00:18:44.510 00:18:46.740 Patrick Trainer: It was cool. It was really difficult.

239 00:18:49.460 00:18:52.479 Patrick Trainer: but it it was it. Yeah, it added a different

240 00:18:52.750 00:18:54.170 Patrick Trainer: element to it.

241 00:18:55.690 00:18:57.389 Uttam Kumaran: Weird. Okay, cool.

242 00:19:00.520 00:19:10.090 Uttam Kumaran: Well, I had a kind of a good day. Yesterday. I tried a lot of stuff on real had some difficulties. But we we had. We had a good meeting with the real guy

243 00:19:10.100 00:19:11.196 Uttam Kumaran: with one of their

244 00:19:11.690 00:19:19.460 Uttam Kumaran: what one of their heads of sales, and he’s actually coming to Austin for something next week. So I’m gonna try and meet him. I mean, he basically was like, Look

245 00:19:19.840 00:19:28.290 Uttam Kumaran: just run everything locally and then do it, just deploy it to cloud for free. And then I was thinking about it more like.

246 00:19:28.320 00:19:33.430 Uttam Kumaran: that’s not that much more than light dash, and I think there’s honestly some

247 00:19:33.810 00:19:38.220 Uttam Kumaran: something to say about, like a mix of evidence, and real as like the stack

248 00:19:38.730 00:19:44.219 Uttam Kumaran: for us like at the moment. I mean, I don’t know. I’m I’m kind of thinking through what like

249 00:19:44.410 00:19:49.219 Uttam Kumaran: what’s like, what’s the proposal that I would make to a client. One, I think light dash

250 00:19:49.360 00:19:55.340 Uttam Kumaran: is now I’m kind of honestly getting a little bit wary of, because I’ve just kind of seen

251 00:19:55.530 00:20:01.680 Uttam Kumaran: what’s possible now and then. I also I mean, I pretty much was like, Yo, what’s your use case? Because this seems like

252 00:20:01.820 00:20:04.649 Uttam Kumaran: more about real time data and less about

253 00:20:04.700 00:20:15.036 Uttam Kumaran: like dashboards and operational stuff. He was like, yeah, it’s a lot of our clients that have huge instances of real are using it for real time. Add related stuff. Right now.

254 00:20:15.360 00:20:16.160 Patrick Trainer: Yeah.

255 00:20:16.160 00:20:18.539 Uttam Kumaran: And we’re not really using it for

256 00:20:18.880 00:20:24.400 Uttam Kumaran: like, slow kind of data. So that’s why they kind of have those minimum caps. However, he’s like we’re adding.

257 00:20:24.690 00:20:27.600 Uttam Kumaran: we are adding, a lot more

258 00:20:28.493 00:20:43.799 Uttam Kumaran: what do you call it? Like the card types. And we’re adding more functionality. And he’s like we have alerting and things like that. So one, I think there’s like, I think there’s a lot of promise on the evidence side. It’s also like, I think, one. We can price you to self host it

259 00:20:44.040 00:20:45.270 Uttam Kumaran: for like

260 00:20:45.330 00:20:48.800 Uttam Kumaran: nothing. So that’s a huge plus

261 00:20:49.193 00:20:53.289 Uttam Kumaran: the evidence cloud people were trying to push us to pay for cloud. I’m like.

262 00:20:53.550 00:20:56.790 Uttam Kumaran: it’s not like what your your software’s open source, like.

263 00:20:57.020 00:20:57.370 Patrick Trainer: Yeah.

264 00:20:57.370 00:21:05.289 Uttam Kumaran: That’s nice and all but I I can just host it on netlify, really cheap. And then, if we even move it out elsewhere. It’ll get cheaper. So

265 00:21:05.320 00:21:10.059 Uttam Kumaran: I I think, like netlify, I mean evidence for analysis.

266 00:21:10.130 00:21:13.970 Uttam Kumaran: I think, is the way to go like if we were putting together like one of Jack’s, like

267 00:21:14.030 00:21:16.340 Uttam Kumaran: one pager, 2 pager analysis

268 00:21:16.400 00:21:20.399 Uttam Kumaran: that should all live in there as Code and Markdown, and

269 00:21:20.460 00:21:21.650 Uttam Kumaran: in the repo.

270 00:21:22.010 00:21:22.480 Patrick Trainer: Yeah.

271 00:21:22.480 00:21:25.470 Uttam Kumaran: So that use case is really clear. But I don’t know. What do you think.

272 00:21:25.670 00:21:31.879 Patrick Trainer: I. So the way I was thinking about it was it was like really similar. It’s like you you think of

273 00:21:32.060 00:21:39.280 Patrick Trainer: when people are doing like like, the idea of Bi, right? It’s there’s the.

274 00:21:39.340 00:21:47.320 Patrick Trainer: there’s the exploration side. And then there’s the okay. Here’s everything that I’ve I’ve found from the exploration.

275 00:21:47.630 00:21:50.810 Patrick Trainer: and I think real is like

276 00:21:51.480 00:21:54.789 Patrick Trainer: a game changer in terms of like

277 00:21:55.260 00:22:08.420 Patrick Trainer: drilling down, digging deep and like seeing kinda like what is being or what is affecting what? And then comp being able to compare everything like, I think that’s like that that’s

278 00:22:09.000 00:22:14.199 Patrick Trainer: blowing all all others out of the out of the water, just especially in terms of speed.

279 00:22:14.330 00:22:14.859 Patrick Trainer: but then.

280 00:22:14.860 00:22:15.510 Uttam Kumaran: Yeah.

281 00:22:15.880 00:22:28.810 Patrick Trainer: And the next part that people want is like, Okay, I want this report that I’m seeing to be delivered to my email every Tuesday something like that on a schedule.

282 00:22:29.150 00:22:32.039 Patrick Trainer: And that’s what I think is really

283 00:22:32.350 00:22:37.289 Patrick Trainer: like powerful about these, like Markdown tools, or the like. The embeddable

284 00:22:37.940 00:22:45.950 Patrick Trainer: kind of like, put it into almost like a paper like analysis like what you were saying. And so

285 00:22:46.280 00:22:48.970 Patrick Trainer: those they’re gonna be like

286 00:22:49.370 00:22:52.599 Patrick Trainer: static templates with dynamic values.

287 00:22:52.650 00:23:00.820 Patrick Trainer: And because, like there, like a person’s gonna want to see it each and every time. And so with evidence like that’s gonna be

288 00:23:01.470 00:23:19.379 Patrick Trainer: like that would be huge, because then you’re able to write your context and then just have that context in the same way expressed in the in the manner that, like the person’s gonna want to. And then, like the values are just gonna change. So it’s not gonna be like crazy.

289 00:23:19.817 00:23:28.960 Patrick Trainer: I think, for exploration wise that that makes it a little bit more difficult on the evident side, like for an end user.

290 00:23:28.960 00:23:29.340 Uttam Kumaran: Yeah.

291 00:23:29.340 00:23:32.480 Patrick Trainer: Really for development, because it is like.

292 00:23:32.830 00:23:35.260 Patrick Trainer: like, you’re having to go in and

293 00:23:35.440 00:23:38.129 Patrick Trainer: actually like edit code. And like that

294 00:23:38.450 00:23:41.159 Patrick Trainer: gets like, that’s kind of slow

295 00:23:41.700 00:23:47.549 Patrick Trainer: but real. It’s real, is like you’re just clicking like.

296 00:23:47.550 00:23:48.869 Uttam Kumaran: Well, real is nice, because.

297 00:23:48.870 00:23:49.500 Patrick Trainer: Dream and.

298 00:23:49.500 00:23:51.090 Uttam Kumaran: Tries everything right.

299 00:23:51.090 00:23:52.460 Patrick Trainer: Yeah, yeah.

300 00:23:52.940 00:23:55.250 Uttam Kumaran: And that’s the thing is like, you don’t have to worry like

301 00:23:55.320 00:23:58.960 Uttam Kumaran: Dan is like, well, I want to see this by 30 days or 90 days. I want to see this over.

302 00:24:02.170 00:24:03.470 Uttam Kumaran: and then for us

303 00:24:03.650 00:24:05.280 Uttam Kumaran: it’s pretty easy.

304 00:24:07.080 00:24:10.310 Uttam Kumaran: I guess it’s pretty easy just to set that up as a

305 00:24:10.390 00:24:15.119 Uttam Kumaran: as a source, and then have models, and then, for all that, to be as code.

306 00:24:16.135 00:24:16.770 Uttam Kumaran: I.

307 00:24:16.770 00:24:17.130 Patrick Trainer: Right.

308 00:24:17.130 00:24:19.540 Uttam Kumaran: I don’t know. I think I wish like, if evidence.

309 00:24:19.870 00:24:24.389 Uttam Kumaran: if I think it may be a good thing for us to try and replicate

310 00:24:24.640 00:24:27.190 Uttam Kumaran: vital signs and evidence

311 00:24:27.850 00:24:29.379 Uttam Kumaran: and see like.

312 00:24:29.760 00:24:35.649 Uttam Kumaran: is there a one? Is there like a setup that works and pool parts can be a really good client?

313 00:24:35.720 00:24:38.180 Uttam Kumaran: Because, dude, if if we’re able to.

314 00:24:38.470 00:24:40.430 Uttam Kumaran: if we’re able to make

315 00:24:40.550 00:24:43.340 Uttam Kumaran: like, we’re able to make that happen then

316 00:24:43.820 00:24:47.649 Uttam Kumaran: the cost for Bi is now so little for our clients.

317 00:24:47.650 00:24:48.040 Patrick Trainer: Right.

318 00:24:48.280 00:24:51.640 Uttam Kumaran: And then basically, we can even charge a hosting fee on top of evidence

319 00:24:52.330 00:24:54.679 Uttam Kumaran: with a margin to cover that

320 00:24:55.693 00:25:00.889 Uttam Kumaran: and and the developer. Experience sells itself for us internally. So like

321 00:25:01.700 00:25:07.030 Uttam Kumaran: I and I would be, I’d love to continue to explore. If there’s other tools we want to kind of play with. But

322 00:25:09.070 00:25:11.389 Uttam Kumaran: I think like there’s opportunity.

323 00:25:11.700 00:25:17.679 Patrick Trainer: Yeah, yeah, like, I’ve always been like a really big advocate of like, at least at

324 00:25:17.830 00:25:21.290 Patrick Trainer: a 2 2 tool bi stack.

325 00:25:21.490 00:25:23.560 Patrick Trainer: because it’s like they all have

326 00:25:24.410 00:25:27.940 Patrick Trainer: things that they’re good at right? Like I really liked

327 00:25:28.160 00:25:38.509 Patrick Trainer: like I I always would recommend tableau in metabase, like tableau, because got the blank slate, and you can do whatever you want with it.

328 00:25:38.590 00:25:43.610 Patrick Trainer: And then metabase, because it’s like super non technical, user, friendly

329 00:25:44.231 00:25:50.340 Patrick Trainer: and so you get kind of like this best of both worlds. I’m seeing that in

330 00:25:50.670 00:25:58.950 Patrick Trainer: the in the context of like real and evidence, or observable, or whatever in that like

331 00:25:59.000 00:26:00.440 Patrick Trainer: we’ve got the tool that

332 00:26:00.970 00:26:04.929 Patrick Trainer: that takes care of our needs, and then the tool that

333 00:26:05.040 00:26:07.820 Patrick Trainer: bodes better to the to the end user.

334 00:26:08.000 00:26:11.859 Patrick Trainer: And it seems like our end users here. They like

335 00:26:12.740 00:26:15.773 Patrick Trainer: they’re less concerned about like

336 00:26:18.173 00:26:22.059 Patrick Trainer: like writing stuff are going in. They just want things delivered

337 00:26:22.594 00:26:25.960 Patrick Trainer: with the like with the ability to poke around.

338 00:26:26.510 00:26:33.630 Uttam Kumaran: Which is just, which is just this one client in particular. But again, my whole, my whole goal, is also try to segment

339 00:26:33.660 00:26:48.410 Uttam Kumaran: people so based on who is using it. We have different situations, right? Like, there may be someone on the ground who needs to do more analysis. And then we can recommend a tool. There may be someone like Dan, who’s just like, set it all up. And I want to be able to click.

340 00:26:48.620 00:26:52.870 Uttam Kumaran: Okay, like there’s something, or there’s like a point in time analysis that we want to do.

341 00:26:53.260 00:26:59.000 Uttam Kumaran: but like what I noticed in the whole thing. And this is something that was as glaring when I was

342 00:26:59.060 00:27:06.180 Uttam Kumaran: doing stuff professionally like solo, like in a company. But the dashboarding aspect is so

343 00:27:06.350 00:27:08.540 Uttam Kumaran: time consuming. And

344 00:27:08.888 00:27:13.339 Uttam Kumaran: I also think that it doesn’t benefit from everything that we else we do as code.

345 00:27:13.420 00:27:18.251 Uttam Kumaran: for like no, for no reason, and tableau has the same issue. Is that like it has like

346 00:27:18.710 00:27:23.890 Uttam Kumaran: it doesn’t have like that sort of layer and dashboard. Ml. Was kind of like close to that, but they didn’t

347 00:27:23.970 00:27:26.370 Uttam Kumaran: invested, and a lot in that. And

348 00:27:26.740 00:27:31.269 Uttam Kumaran: I you know it would be cool to try to play around with the observable, but I think evidence is kind of

349 00:27:31.640 00:27:35.490 Uttam Kumaran: good enough, and their support is pretty good that, like I kinda don’t mind.

350 00:27:37.600 00:27:38.860 Patrick Trainer: Yeah, I agree.

351 00:27:41.414 00:27:54.490 Uttam Kumaran: So basically, I’m gonna continue, try to just like spin up a proof of concept of pool parts real. I think they’re gonna get us in a slack channel with their support and stuff like that. So we could talk about the snowflake

352 00:27:54.560 00:28:00.479 Uttam Kumaran: go stuff. Yeah. I I also saw, I thought it was like a go driver issue. I was like what the fuck, though. I pretty much

353 00:28:00.720 00:28:05.310 Uttam Kumaran: like, How are you guys out supporting Snowflake? It’s like one of the big connectors.

354 00:28:05.516 00:28:09.060 Uttam Kumaran: And I’m like, there’s like 4 options for me here. I’m I don’t know what I’m doing wrong.

355 00:28:10.910 00:28:13.939 Uttam Kumaran: so we’re gonna see how that goes. I’m gonna continue

356 00:28:14.040 00:28:16.910 Uttam Kumaran: trying to port over Jack’s

357 00:28:17.288 00:28:23.150 Uttam Kumaran: warranty analysis to evidence that way. Can we can get some feedback on that from Jack and from them

358 00:28:23.260 00:28:25.701 Uttam Kumaran: and have that live there and then.

359 00:28:26.620 00:28:29.219 Uttam Kumaran: I’m just running to a sales thing now and then.

360 00:28:29.430 00:28:33.030 Uttam Kumaran: I’m basically gonna be kind of open the rest of the day. Just

361 00:28:33.440 00:28:39.859 Uttam Kumaran: the only things I sent some content stuff to internal announcements. You guys want to take a look at and

362 00:28:40.469 00:28:44.600 Uttam Kumaran: give any feedback. That would be amazing. It’s

363 00:28:44.730 00:28:47.570 Uttam Kumaran: it was like a long process of like.

364 00:28:47.860 00:29:06.190 Uttam Kumaran: kind of like, okay, what are the documents? We need getting them settled, and then the content, I would say, is, okay. I would say, it’s like a 6 out of 10. I think there’s opportunity to get it to like a 9 out of 10 but we can constantly iterate. I’m kind of working on ways of how do we set together? Kind of like, basically

365 00:29:06.660 00:29:14.019 Uttam Kumaran: basically like, what are our principles for content like who as the audience, how do we talk to them that way? Anything we write

366 00:29:14.130 00:29:20.719 Uttam Kumaran: publicly, we can kind of run through that filter. But if you don’t mind checking that out, and where the website.

367 00:29:20.720 00:29:23.140 Patrick Trainer: Where’d you? Where’d you post this?

368 00:29:23.280 00:29:23.980 Patrick Trainer: So I’m sure.

369 00:29:23.980 00:29:24.820 Uttam Kumaran: Internal that

370 00:29:25.050 00:29:25.449 Uttam Kumaran: announced

371 00:29:25.850 00:29:28.699 Patrick Trainer: I’m seeing the I’m seeing the assets.

372 00:29:29.340 00:29:30.480 Uttam Kumaran: Yeah, that’s the one.

373 00:29:30.620 00:29:31.960 Patrick Trainer: Oh, that’s it. Okay.

374 00:29:33.083 00:29:39.939 Uttam Kumaran: And then the website. Now, if you just go to brain 4. Ji, you see, like a really quick landing page. But we’re working on a larger

375 00:29:41.540 00:29:46.409 Uttam Kumaran: like a homepage and a couple of landing pages, and like a blog and everything like that.

376 00:29:48.040 00:29:49.960 Uttam Kumaran: And that will. But that will pretty much

377 00:29:49.990 00:29:51.889 Uttam Kumaran: take a lot of the same content.

378 00:29:52.823 00:29:54.089 Uttam Kumaran: Basically like

379 00:29:54.140 00:29:58.700 Uttam Kumaran: anything we do content, wise. I want it to be able to scale to multiple

380 00:29:59.060 00:30:02.900 Uttam Kumaran: different mediums, and then also multiple different distribution points. So

381 00:30:02.940 00:30:09.930 Uttam Kumaran: like, if we write a blog post, I want that to be able to get cut up into Linkedin Twitter, whatever. And then I also

382 00:30:10.492 00:30:11.820 Uttam Kumaran: if we do

383 00:30:11.930 00:30:22.930 Uttam Kumaran: a blog post, I also want that to show up as a Pdf. I want that to have its own landing page. I want that to come up in like in the Cms in there. So there’s a whole host of kind of strategies that we’re working on.

384 00:30:22.960 00:30:26.389 Uttam Kumaran: But just take a look at the content and those Pdfs. And then

385 00:30:26.890 00:30:33.299 Uttam Kumaran: let me know if any spelling mistakes or anything, but also just like, if you, what do you think about the way we’re talking about the stuff we do?

386 00:30:34.860 00:30:41.999 Uttam Kumaran: Basically, it’s a one page service offering, Doc, which is like our whole company. It’s another thing about specific about data. And there’s another FAQ, Doc.

387 00:30:44.160 00:30:47.639 Uttam Kumaran: yeah, that’s the that’s the 3 that are kind of like super finalized right now.

388 00:30:48.330 00:30:48.925 Uttam Kumaran: Cool.

389 00:30:51.780 00:30:53.020 Uttam Kumaran: Oh, I’m

390 00:30:53.090 00:30:56.109 Uttam Kumaran: I’ve been. I’ve been talking for a while, so y’all go ahead.

391 00:30:56.790 00:30:58.177 Patrick Trainer: They’re all good

392 00:30:59.770 00:31:03.939 Patrick Trainer: for most part. Yeah, I’m probably gonna continue to poke around with real.

393 00:31:04.920 00:31:06.640 Patrick Trainer: I I think I

394 00:31:08.120 00:31:10.880 Patrick Trainer: I believe I was able to replicate

395 00:31:11.000 00:31:14.027 Patrick Trainer: that issue that you were seeing yesterday.

396 00:31:14.460 00:31:14.989 Uttam Kumaran: So, okay.

397 00:31:14.990 00:31:16.430 Patrick Trainer: And I was

398 00:31:17.900 00:31:26.709 Patrick Trainer: navigating it through like, it seems to be partially due to like, there’s a like in the config. There’s like a SQL key

399 00:31:26.870 00:31:29.490 Patrick Trainer: that yeah, like, you’ve gotta gotta add in.

400 00:31:29.780 00:31:37.349 Patrick Trainer: And it’s it seems to be like around like the name spacing of the tables. And so.

401 00:31:37.350 00:31:38.009 Uttam Kumaran: It’s like.

402 00:31:38.010 00:31:43.833 Patrick Trainer: You have that like that Dsn, or that URL, and where you define like a

403 00:31:44.610 00:31:45.082 Uttam Kumaran: Keep my day.

404 00:31:45.240 00:31:47.050 Patrick Trainer: Database, and then a schema.

405 00:31:47.070 00:31:49.999 Patrick Trainer: And then, like, normally, when you

406 00:31:50.130 00:31:51.410 Patrick Trainer: or

407 00:31:51.490 00:31:57.270 Patrick Trainer: yeah, putting in like the schema reference up at the top, or like you’re setting that that context.

408 00:31:57.820 00:32:08.829 Patrick Trainer: Then you’re just able to like select from you’re just called the table. But it’s still like I found that like that’ll sometimes have a

409 00:32:09.314 00:32:12.309 Patrick Trainer: we’ll throw that error. And so if you

410 00:32:12.430 00:32:18.639 Patrick Trainer: still add, in like that fully qualified name like that, that fully qualified table name.

411 00:32:18.740 00:32:20.820 Patrick Trainer: then it’ll work.

412 00:32:20.870 00:32:24.280 Patrick Trainer: It’s like it was like it was trying to

413 00:32:24.880 00:32:31.180 Patrick Trainer: query a table with a schema name that was nil, and that.

414 00:32:31.180 00:32:32.030 Uttam Kumaran: Oh, okay.

415 00:32:32.030 00:32:35.579 Patrick Trainer: I think that’s where that nil pointer reference was coming from.

416 00:32:36.580 00:32:40.198 Uttam Kumaran: Okay, let me try it again this morning. We’ll see what happens.

417 00:32:40.500 00:32:41.340 Patrick Trainer: So

418 00:32:41.520 00:32:45.050 Patrick Trainer: like, I’ll I’ll send over like what my

419 00:32:45.220 00:32:47.290 Patrick Trainer: config looks like right now.

420 00:32:48.292 00:32:51.109 Patrick Trainer: And then, also, what I was doing

421 00:32:51.630 00:32:54.579 Patrick Trainer: was like on each change

422 00:32:54.620 00:32:57.439 Patrick Trainer: that I would make. I would just like

423 00:32:57.540 00:32:59.859 Patrick Trainer: kill and restart the instance.

424 00:33:00.370 00:33:03.320 Patrick Trainer: And and that that seemed to

425 00:33:03.610 00:33:04.680 Patrick Trainer: seem to help.

426 00:33:05.540 00:33:06.380 Patrick Trainer: Okay, yeah.

427 00:33:08.270 00:33:09.410 Patrick Trainer: yeah.

428 00:33:09.410 00:33:14.099 Uttam Kumaran: Okay, cool. I’ll be online rest of the day, too. So maybe we can just slack about it, too. As I make progress.

429 00:33:14.250 00:33:15.359 Patrick Trainer: Cool. Yeah.

430 00:33:24.634 00:33:25.890 Uttam Kumaran: Ron, you wanna go.

431 00:33:26.150 00:33:26.969 Ryan Luke Daque: Yeah, sure.

432 00:33:27.230 00:33:32.710 Ryan Luke Daque: Yeah. So I’ve been. Yesterday, I was like working on unioning the new shopify

433 00:33:33.260 00:33:34.510 Ryan Luke Daque: the the

434 00:33:34.630 00:33:35.430 Ryan Luke Daque: table.

435 00:33:35.580 00:33:39.810 Ryan Luke Daque: or like source data to our existing model. So basically, our

436 00:33:39.840 00:33:42.150 Ryan Luke Daque: shopify models now are.

437 00:33:42.330 00:33:43.859 Ryan Luke Daque: or using the tool

438 00:33:44.090 00:33:45.010 Ryan Luke Daque: shoppie file.

439 00:33:45.010 00:33:45.980 Uttam Kumaran: Oh, nice!

440 00:33:46.634 00:33:50.749 Ryan Luke Daque: Yeah, I just created a Pr, yeah, you can review it. I just

441 00:33:50.880 00:33:54.249 Ryan Luke Daque: added a test as well just recently, today.

442 00:33:54.711 00:34:02.559 Ryan Luke Daque: to make sure that we’re not like getting duplicates. I also just check as well to make sure that we don’t have like orders, or

443 00:34:02.930 00:34:04.239 Ryan Luke Daque: that are in the

444 00:34:04.510 00:34:07.299 Ryan Luke Daque: new shopify source that are in

445 00:34:07.650 00:34:13.699 Ryan Luke Daque: the old shopify source and stuff like that. So yeah, should be, should be.

446 00:34:13.710 00:34:15.950 Ryan Luke Daque: The Pr should be ready to go

447 00:34:16.469 00:34:17.790 Ryan Luke Daque: live. Okay?

448 00:34:18.330 00:34:19.670 Ryan Luke Daque: Yeah. I mean.

449 00:34:19.679 00:34:20.529 Uttam Kumaran: I’ll take a look.

450 00:34:21.340 00:34:22.260 Ryan Luke Daque: Sounds good.

451 00:34:22.719 00:34:35.070 Ryan Luke Daque: Prior to yesterday I I did work on like just restructuring the folders to the green standard. But yeah, I’ll I did create a different ticket for just refactoring it.

452 00:34:35.179 00:34:41.329 Ryan Luke Daque: refactoring all everything like creating staging models and and stuff like that. That would be the the huge project.

453 00:34:41.800 00:34:42.800 Ryan Luke Daque: But yeah.

454 00:34:43.050 00:34:47.189 Ryan Luke Daque: other than that. I don’t think I have any other new tasks.

455 00:34:47.570 00:34:48.260 Ryan Luke Daque: Oh.

456 00:34:48.730 00:34:51.999 Ryan Luke Daque: available. But yeah, we I can work on whatever.

457 00:34:53.880 00:34:58.780 Ryan Luke Daque: if not, I can start working on the the big project which is like refactoring our

458 00:34:59.670 00:35:00.819 Ryan Luke Daque: our models.

459 00:35:01.740 00:35:03.548 Uttam Kumaran: Okay, maybe I will.

460 00:35:04.010 00:35:09.669 Uttam Kumaran: Maybe I’ll slack you and let you know. There’s probably a couple of things I think that’s

461 00:35:09.860 00:35:13.690 Uttam Kumaran: and we can try to give it. Give it a go on some stuff, so I’ll let you know.

462 00:35:14.780 00:35:22.269 Ryan Luke Daque: Yeah, I might be logging off early today, though, cause I need to be up early tomorrow. So maybe I’ll I have like 2 more. Hours.

463 00:35:22.290 00:35:24.519 Ryan Luke Daque: Yeah. Probably. Log. Out.

464 00:35:25.100 00:35:26.220 Ryan Luke Daque: okay, okay.

465 00:35:26.220 00:35:26.920 Uttam Kumaran: No problem.

466 00:35:30.130 00:35:31.889 Uttam Kumaran: Alright guys, if nothing else.

467 00:35:33.630 00:35:35.240 Uttam Kumaran: I just have to jump.

468 00:35:35.250 00:35:39.970 Uttam Kumaran: I’m going to the sales thing. But obviously, maybe we can keep talking on slack.

469 00:35:41.475 00:35:41.850 Agustin: Okay.

470 00:35:42.450 00:35:44.530 Agustin: okay, I will put my updates.

471 00:35:45.340 00:35:45.890 Uttam Kumaran: Okay.

472 00:35:46.450 00:35:47.060 Agustin: Tends to be.

473 00:35:47.395 00:35:47.730 Uttam Kumaran: Guys.

474 00:35:48.170 00:35:48.920 Ryan Luke Daque: Thanks everyone.

475 00:35:49.450 00:35:50.170 Ryan Luke Daque: bye.