Meeting Title: Check in Date: 2025-01-30 Meeting participants: Awaish Kumar, Nicolas Sucari


WEBVTT

1 00:05:54.870 00:05:56.020 Nicolas Sucari: No worries.

2 00:05:59.480 00:06:00.140 Awaish Kumar: Hello!

3 00:06:02.240 00:06:03.520 Nicolas Sucari: How’s everything going?

4 00:06:03.700 00:06:04.610 Nicolas Sucari: All good?

5 00:06:06.090 00:06:08.230 Awaish Kumar: Oh, yeah, everything’s good. How about you?

6 00:06:09.540 00:06:11.119 Nicolas Sucari: All good. Yeah.

7 00:06:12.350 00:06:19.080 Nicolas Sucari: Cool. Were you able to dig a little bit into the notion into the task that would have assigned.

8 00:06:19.660 00:06:26.709 Awaish Kumar: Yeah, yeah, actually, I I did posted some description on the internal tasks.

9 00:06:31.280 00:06:31.860 Nicolas Sucari: See?

10 00:06:32.340 00:06:33.470 Nicolas Sucari: Where? Where did you.

11 00:06:34.080 00:06:39.475 Awaish Kumar: Joining, because I just want to explain it once.

12 00:06:40.270 00:06:42.640 Awaish Kumar: So to both of you.

13 00:06:42.640 00:06:44.019 Nicolas Sucari: Oh, great, great.

14 00:06:44.020 00:06:44.829 Awaish Kumar: If he’s joining.

15 00:06:46.551 00:06:48.870 Nicolas Sucari: Let me let me ping him! Wait!

16 00:06:52.290 00:06:56.669 Awaish Kumar: If not, then I can like, explain what I’ve found.

17 00:06:58.220 00:06:59.310 Nicolas Sucari: Yeah, that’s fine.

18 00:07:06.240 00:07:09.799 Nicolas Sucari: That’s great. I’ve seen. Okay, I can see your comment there. Your findings.

19 00:07:12.664 00:07:13.449 Awaish Kumar: Yeah.

20 00:07:18.520 00:07:20.340 Awaish Kumar: and find out.

21 00:07:22.010 00:07:24.700 Nicolas Sucari: Only one table is coming. Let me check.

22 00:07:27.895 00:07:30.130 Awaish Kumar: Reload the picture.

23 00:07:33.180 00:07:34.410 Awaish Kumar: how to?

24 00:07:42.360 00:07:43.850 Awaish Kumar: It’s fine.

25 00:07:54.140 00:07:58.830 Awaish Kumar: how we can can we filter in this view.

26 00:07:59.770 00:08:02.730 Nicolas Sucari: Which one which view sorry.

27 00:08:02.910 00:08:05.819 Awaish Kumar: And like how I can get to be

28 00:08:06.370 00:08:09.920 Awaish Kumar: want to get my get the task assigned to me.

29 00:08:10.770 00:08:13.739 Nicolas Sucari: You want to see only the the task assigned to you.

30 00:08:13.990 00:08:14.790 Awaish Kumar: Yes.

31 00:08:15.730 00:08:18.559 Nicolas Sucari: Yeah. If you go to go to Homepage.

32 00:08:18.680 00:08:21.366 Nicolas Sucari: go to the home page. There is

33 00:08:22.240 00:08:23.510 Awaish Kumar: Oh, hallelujah.

34 00:08:23.510 00:08:29.490 Nicolas Sucari: To to personal dashboards, and you can see that there should be your personal dashboard there a wish.

35 00:08:30.140 00:08:32.190 Awaish Kumar: Oh, yeah, actually, I found it.

36 00:08:32.970 00:08:40.460 Nicolas Sucari: Did you found it? Okay, perfect, great. So you can see there by status. You can see there all your tasks that you have. You have only 2 tasks right now.

37 00:08:43.130 00:08:46.439 Awaish Kumar: Please do. And so.

38 00:08:48.680 00:08:51.000 Nicolas Sucari: Do you want me? Let let me share. I can share.

39 00:08:51.610 00:08:54.180 Awaish Kumar: I just found it so. If I can share.

40 00:08:55.090 00:08:55.750 Nicolas Sucari: Okay.

41 00:09:09.510 00:09:10.300 Awaish Kumar: Soon.

42 00:09:11.540 00:09:12.739 Awaish Kumar: Can you see it?

43 00:09:15.950 00:09:16.560 Nicolas Sucari: Wait.

44 00:09:17.070 00:09:19.165 Nicolas Sucari: Yep, perfect.

45 00:09:26.900 00:09:29.979 Nicolas Sucari: If you scroll down a little bit I should be able to see.

46 00:09:30.140 00:09:32.680 Nicolas Sucari: That’s fine. That’s in the.

47 00:09:33.651 00:09:36.139 Awaish Kumar: Change the page actually.

48 00:09:37.102 00:09:39.769 Nicolas Sucari: You wanna go. You wanna go back to your personal page.

49 00:09:40.100 00:09:46.410 Awaish Kumar: I want to show that tab. Can I do like? Can we in the zoom? Can we change that tab.

50 00:09:47.210 00:09:48.510 Nicolas Sucari: Yeah, you can do that.

51 00:09:50.390 00:09:54.170 Nicolas Sucari: If you go to the you have the share options

52 00:09:55.400 00:09:57.490 Nicolas Sucari: you need to. You have like a

53 00:09:58.430 00:10:04.130 Nicolas Sucari: where it says, layouts on the top. Right there is like 2 arrows.

54 00:10:04.340 00:10:07.639 Nicolas Sucari: I can expand and and collapse arrow.

55 00:10:08.430 00:10:10.910 Nicolas Sucari: If you click that, you’ll see all of your

56 00:10:13.830 00:10:16.560 Nicolas Sucari: I’m seeing your Google Chrome right now.

57 00:10:17.850 00:10:20.270 Awaish Kumar: Okay, you’re saying the who can do one? Right?

58 00:10:20.560 00:10:21.959 Nicolas Sucari: Yeah, you can do it.

59 00:10:22.830 00:10:28.490 Awaish Kumar: Yeah, in this one. I basically.

60 00:10:29.290 00:10:33.730 Awaish Kumar: yeah, these are my findings that we have only one table reviews.

61 00:10:34.435 00:10:39.880 Awaish Kumar: importable data and and compared to 6 from 5 trend

62 00:10:40.480 00:10:46.879 Awaish Kumar: but that table has almost all the data we need for the calculating all the metrics

63 00:10:47.940 00:10:52.850 Awaish Kumar: the only issue is that I couldn’t find complete information.

64 00:10:53.340 00:10:54.070 Nicolas Sucari: Okay.

65 00:10:54.710 00:11:05.470 Awaish Kumar: So country code and country name. So there’s 1 intermediate table which is basically a review. Id and country code and a country name. There are only 3 fields there.

66 00:11:06.040 00:11:06.450 Nicolas Sucari: Can’t wait!

67 00:11:06.450 00:11:11.410 Awaish Kumar: I cannot create that I cannot create that intermediate table, because

68 00:11:11.600 00:11:17.960 Awaish Kumar: and in that reviews table I cannot find the country code and country name information.

69 00:11:18.670 00:11:24.449 Nicolas Sucari: Okay. So for the other, for the other tables that they are missing, we don’t have like any information of those right.

70 00:11:25.560 00:11:35.130 Awaish Kumar: So the so it is because of the how the 5 trend and portable structure, the data, right? So 5 trend is dividing the data into 6 tables.

71 00:11:35.500 00:11:36.119 Nicolas Sucari: Yeah, I’m.

72 00:11:36.120 00:11:38.530 Awaish Kumar: They will just single table.

73 00:11:39.170 00:11:40.019 Nicolas Sucari: It has all the data.

74 00:11:40.020 00:11:40.369 Awaish Kumar: Don’t wait!

75 00:11:40.769 00:11:44.360 Nicolas Sucari: Okay. Okay. Okay. Okay. Okay. Perfect. Perfect. Yeah. Great.

76 00:11:45.268 00:11:47.539 Awaish Kumar: For example, rating data in 5.

77 00:11:47.540 00:11:48.099 Nicolas Sucari: Yeah, for.

78 00:11:48.100 00:11:49.440 Awaish Kumar: He was supertable.

79 00:11:49.660 00:11:52.720 Awaish Kumar: How importable! We have the data in the same.

80 00:11:52.940 00:11:56.930 Awaish Kumar: Able as a yeah, as a separate Json field.

81 00:11:57.440 00:11:59.949 Nicolas Sucari: Same for tags. Yeah, I’m just seeing same for tax.

82 00:11:59.950 00:12:01.990 Awaish Kumar: No perfect.

83 00:12:01.990 00:12:02.640 Nicolas Sucari: Okay.

84 00:12:03.340 00:12:12.920 Awaish Kumar: So only thing which I found is country code and country name is missing. And then we we, I can see there’s some difference of data between 5 train and portable.

85 00:12:13.150 00:12:23.730 Awaish Kumar: So total number of like reviews, listing reviews or review. And the there’s around like some

86 00:12:23.830 00:12:26.020 Awaish Kumar: something like 10,000 cros.

87 00:12:26.810 00:12:27.530 Nicolas Sucari: Okay.

88 00:12:29.300 00:12:30.420 Awaish Kumar: Oh!

89 00:12:30.870 00:12:31.380 Nicolas Sucari: I didn’t.

90 00:12:31.380 00:12:37.450 Awaish Kumar: Did you check? Did we? Did we get same time like we have, like the same timeframe.

91 00:12:37.610 00:12:41.719 Nicolas Sucari: For all of the reviews between fighter and portable. Maybe that’s the difference.

92 00:12:42.260 00:12:45.862 Awaish Kumar: Yeah, that’s what I have to dig into. But it’s just

93 00:12:48.070 00:12:58.809 Awaish Kumar: yeah. For for this task. I was just looking how how long we are going to take to build this. So I was just comparing things and figuring out if we have the

94 00:12:58.990 00:13:00.569 Awaish Kumar: all the data available.

95 00:13:01.995 00:13:05.419 Awaish Kumar: So it could be done by tomorrow.

96 00:13:05.550 00:13:08.035 Awaish Kumar: because everything else is there.

97 00:13:08.900 00:13:17.440 Awaish Kumar: but the only yeah. But we will be missing country code. So I don’t know how we are going to get it, so it might be a separate task. Then figure out.

98 00:13:17.440 00:13:38.420 Nicolas Sucari: Yeah, don’t work because those kind of things. Yeah, those kind of things we can ask the portable guys to help us trying to add those. Maybe it’s coming from a different a Ap Api call, and they need to work on something for that. The connector. So maybe we can write all of those notes down. And yeah, send the message to them.

99 00:13:40.210 00:13:48.810 Awaish Kumar: The in the while while implementing other things. I can also look at the why data is missing? Is it because or whatever it is.

100 00:13:50.340 00:13:50.660 Nicolas Sucari: Yeah.

101 00:13:50.900 00:13:51.760 Awaish Kumar: Do that?

102 00:13:51.960 00:13:54.020 Awaish Kumar: Think investigation by tomorrow?

103 00:13:55.020 00:13:55.850 Nicolas Sucari: Okay.

104 00:13:58.620 00:14:05.959 Awaish Kumar: So everything else I can implement. I can make the integral to company name as a null fields for now

105 00:14:06.567 00:14:09.689 Awaish Kumar: and then we can escalate it to portable team

106 00:14:10.070 00:14:13.940 Awaish Kumar: and to keep the schema in sync.

107 00:14:14.130 00:14:20.869 Awaish Kumar: I will just keep them as null, so we know that we have the. We have to populate these fields in future.

108 00:14:21.430 00:14:22.180 Awaish Kumar: I don’t know.

109 00:14:22.180 00:14:22.620 Nicolas Sucari: Okay.

110 00:14:23.120 00:14:24.560 Awaish Kumar: And for the missing

111 00:14:24.890 00:14:29.299 Awaish Kumar: data, I will just make a note of it and find out if what is the reason.

112 00:14:30.640 00:14:31.500 Awaish Kumar: Okay?

113 00:14:33.540 00:14:38.106 Awaish Kumar: And for the other one. It’s

114 00:14:40.930 00:14:48.550 Awaish Kumar: I can go here and share this one now for the recharge.

115 00:14:49.730 00:14:50.050 Nicolas Sucari: Yeah.

116 00:14:50.050 00:14:56.616 Awaish Kumar: Hello, so yeah, I have to write one more thing here. But yeah,

117 00:14:57.510 00:14:58.510 Awaish Kumar: So

118 00:14:58.920 00:15:05.160 Awaish Kumar: the thing I found is that also there is a different of how? 5, 10 portable structures the data.

119 00:15:05.540 00:15:09.109 Awaish Kumar: So in the 5 train, we have separate address table

120 00:15:09.851 00:15:13.460 Awaish Kumar: which is not in this portable. Schema.

121 00:15:13.770 00:15:21.209 Awaish Kumar: Yeah, I am trying to find it using table shipping

122 00:15:22.240 00:15:26.000 Awaish Kumar: like using the table named charges.

123 00:15:27.060 00:15:27.440 Nicolas Sucari: Okay.

124 00:15:28.550 00:15:31.240 Awaish Kumar: On that table has the address.

125 00:15:32.320 00:15:34.089 Awaish Kumar: so I can get it from there.

126 00:15:34.490 00:15:39.220 Awaish Kumar: and I have compared that. The address table, the address we are getting from

127 00:15:39.786 00:15:44.149 Awaish Kumar: address table in 5 frame matches to the shipping address.

128 00:15:44.510 00:15:48.890 Awaish Kumar: So because the charges table have 2 addresses, shipping and billing.

129 00:15:49.050 00:15:56.669 Awaish Kumar: So we are getting the shipping address in our data right now. So I will just select the shipping address as well

130 00:15:57.030 00:15:58.399 Awaish Kumar: from portable.

131 00:15:58.680 00:16:10.360 Awaish Kumar: And so yeah, charges table have multiple entries, because, 1, 1 single customer can

132 00:16:10.510 00:16:13.739 Awaish Kumar: have multiple orders and multiple charges.

133 00:16:15.014 00:16:23.520 Awaish Kumar: So I will take care of deduplic like it. We will deduplicate that. So we have the unique indices. We don’t have duplicate rows

134 00:16:24.180 00:16:25.440 Awaish Kumar: in their table.

135 00:16:25.760 00:16:27.050 Awaish Kumar: And the

136 00:16:27.720 00:16:40.399 Awaish Kumar: 4th thing which I found was, that’s what I was looking, and that’s an issue in the current structure as well. So if I can show you the

137 00:16:42.040 00:16:46.709 Awaish Kumar: yeah. So for example, there’s a table called subscriptions.

138 00:16:47.210 00:16:48.410 Awaish Kumar: Yeah.

139 00:16:48.550 00:16:55.590 Awaish Kumar: So for every subscription so for, like,

140 00:16:57.960 00:17:02.280 Awaish Kumar: a single customer can have multiple subscriptions right

141 00:17:02.950 00:17:10.060 Awaish Kumar: in in the data, I can see that single customer is having multiple subscriptions.

142 00:17:10.930 00:17:13.749 Nicolas Sucari: Single customer. You have multiple subscriptions. Okay.

143 00:17:14.220 00:17:20.420 Awaish Kumar: Yeah, so we can, I can actually show that also, maybe completely.

144 00:17:21.319 00:17:27.149 Nicolas Sucari: They are not like they. They have more than one like active subscription. Or maybe some of those subscriptions are like.

145 00:17:28.959 00:17:30.479 Nicolas Sucari: Yeah, our like own.

146 00:17:31.340 00:17:35.339 Awaish Kumar: Could we find where I’m doing this.

147 00:17:42.300 00:17:44.680 Nicolas Sucari: Because, yeah.

148 00:17:44.850 00:17:56.949 Nicolas Sucari: because 5. John had a subscription history table to different from the subscription one. And maybe some of those other subscriptions that the same customer has. They are expired subscriptions I don’t know

149 00:17:57.900 00:18:00.480 Nicolas Sucari: just thinking out loud here.

150 00:18:00.870 00:18:02.290 Awaish Kumar: Can you see, my.

151 00:18:02.680 00:18:03.290 Nicolas Sucari: Yeah.

152 00:18:03.630 00:18:05.299 Awaish Kumar: What you see on the screen.

153 00:18:06.120 00:18:07.250 Nicolas Sucari: The Vs code.

154 00:18:08.320 00:18:09.809 Awaish Kumar: No, I want to.

155 00:18:10.480 00:18:12.049 Awaish Kumar: I want to share.

156 00:18:12.550 00:18:16.970 Nicolas Sucari: Okay, I’m seeing the yeah in the recharge subscription sequel.

157 00:18:17.110 00:18:17.610 Nicolas Sucari: Wow.

158 00:18:17.610 00:18:19.330 Awaish Kumar: Can you see this? Now?

159 00:18:20.160 00:18:20.900 Nicolas Sucari: Yeah. Yes.

160 00:18:20.900 00:18:32.490 Awaish Kumar: Okay, so in the subscription table, for example, for this customer, yes, run it

161 00:18:34.104 00:18:38.560 Awaish Kumar: we are having multiple subscriptions

162 00:18:39.802 00:18:43.060 Awaish Kumar: so for same customer we have.

163 00:18:44.101 00:18:52.720 Awaish Kumar: these 7 subscriptions, and, as you mentioned, it can be that a store history, but they all are active in the status.

164 00:18:54.270 00:18:58.219 Nicolas Sucari: Yeah, but check check. Go to the left a little bit, check the price.

165 00:19:01.055 00:19:01.940 Awaish Kumar: Yeah.

166 00:19:01.940 00:19:05.889 Nicolas Sucari: You see that it has like 2 subscriptions that are the same.

167 00:19:07.050 00:19:13.360 Nicolas Sucari: And yeah, on the rest of them. They are like empty like they are like. There’s no price for that subscription.

168 00:19:13.360 00:19:15.820 Awaish Kumar: Yeah, but the dates are different.

169 00:19:17.820 00:19:21.400 Awaish Kumar: like, if you see the same, the subscription with the same price

170 00:19:22.000 00:19:25.509 Awaish Kumar: row number one and 3. Right if you go here.

171 00:19:26.450 00:19:27.850 Awaish Kumar: Row number.

172 00:19:28.570 00:19:29.210 Awaish Kumar: Well, yeah.

173 00:19:29.210 00:19:30.519 Nicolas Sucari: Yeah November 29.th

174 00:19:30.520 00:19:31.549 Awaish Kumar: It was updated on.

175 00:19:31.550 00:19:32.360 Nicolas Sucari: And you have.

176 00:19:32.740 00:19:38.929 Awaish Kumar: In January 10, th January 2,025, and it’s September 29, th so they seem different

177 00:19:40.100 00:19:42.389 Awaish Kumar: subscription. It doesn’t seem a duplicate.

178 00:19:43.160 00:19:49.049 Nicolas Sucari: But but it’s the same skew. So okay, go to. Okay. There’s no go to.

179 00:19:49.050 00:19:56.070 Awaish Kumar: But can you like? I can make 2 subscription for the same school right.

180 00:19:57.570 00:20:09.690 Nicolas Sucari: I I’m not sure how many active subscriptions a user can have. That’s the only thing that I’m saying like, I don’t know if it has. It needs to have only one, or it can have more than one. Maybe it can have more than one. I’m not sure.

181 00:20:10.590 00:20:21.000 Awaish Kumar: Yeah, but that’s what I’m saying. Also that I’m not sure but the data says it is active, and it also can be verified from this table.

182 00:20:21.000 00:20:22.460 Nicolas Sucari: Okay. Okay.

183 00:20:23.230 00:20:31.739 Awaish Kumar: So if I if it’s for the same customer we check in the customer’s table, it says, subscription active count is 7.

184 00:20:31.740 00:20:33.800 Nicolas Sucari: Okay, okay.

185 00:20:35.220 00:20:40.479 Nicolas Sucari: okay, maybe this, you need to discuss it with the time, because I’m not sure how to handle this.

186 00:20:41.510 00:20:43.710 Awaish Kumar: Oh, so okay.

187 00:20:44.450 00:21:04.339 Awaish Kumar: what is happening. What I’m saying is what what the current code is doing is basically doing like the way the current code is working. I can do the same thing. But I’m just saying that because we can map to the existing code. But what I’m

188 00:21:05.070 00:21:11.230 Awaish Kumar: what I want to say is that the current code what it does basically so for us

189 00:21:11.430 00:21:17.900 Awaish Kumar: is, is it basically for us every single subscription? It gives an address Id.

190 00:21:18.180 00:21:19.030 Awaish Kumar: And based on.

191 00:21:19.030 00:21:19.400 Nicolas Sucari: Okay.

192 00:21:19.400 00:21:23.710 Awaish Kumar: Id. It tries to find a discount right.

193 00:21:23.710 00:21:24.070 Nicolas Sucari: Okay.

194 00:21:24.070 00:21:28.639 Awaish Kumar: So, for example, now we can see that for the same address. Id.

195 00:21:28.910 00:21:33.718 Awaish Kumar: we have 3 different 3 rows, and

196 00:21:34.320 00:21:35.040 Nicolas Sucari: Okay.

197 00:21:35.420 00:21:43.489 Awaish Kumar: We have 3 rows, and if we I, if I join it with charges table, I will get the discount

198 00:21:43.840 00:21:46.280 Awaish Kumar: information based on addressing.

199 00:21:46.670 00:21:56.096 Awaish Kumar: And right on this address the charges table will also have some like

200 00:21:57.320 00:22:00.330 Awaish Kumar: multiple rows, because there are multiple charges.

201 00:22:00.440 00:22:09.870 Awaish Kumar: And I can take the latest one and get the discount for that row and upgrade it for all 3 rows. That’s what current code is doing.

202 00:22:10.280 00:22:10.990 Awaish Kumar: So I’m.

203 00:22:10.990 00:22:11.560 Nicolas Sucari: Okay.

204 00:22:12.250 00:22:18.979 Awaish Kumar: That’s what current code is doing, and that’s what we can do as well. The only thing is, I’m not sure it is right, because.

205 00:22:19.230 00:22:19.590 Nicolas Sucari: Okay.

206 00:22:19.590 00:22:28.330 Awaish Kumar: There are different subscriptions. There may be different discounts for each subscription, and we are just mapping same discount to every subscription.

207 00:22:29.850 00:22:32.909 Awaish Kumar: So is that the right approach or wrong? That’s the question.

208 00:22:34.200 00:22:47.059 Nicolas Sucari: That’s that’s that’s that’s good findings. I’m not sure if the if it is the correct approach or not. That’s why maybe stick with this example, and and just show it to Utam

209 00:22:47.658 00:22:55.430 Nicolas Sucari: later, and see what he has to say. There, I don’t know if that’s the correct logic or not that we need to do. That’s why.

210 00:22:58.650 00:23:03.219 Nicolas Sucari: So I get. We can do the same. But I don’t know what you’re saying that

211 00:23:03.470 00:23:08.249 Nicolas Sucari: if we do the same. That’s fine, but you don’t know if it is right or wrong, right.

212 00:23:08.740 00:23:09.480 Awaish Kumar: Yes.

213 00:23:10.110 00:23:15.149 Nicolas Sucari: Okay, yeah. Maybe we need to explain that to Tom and see what he says. I’m not sure.

214 00:23:16.650 00:23:17.810 Awaish Kumar: What do we need to do.

215 00:23:17.810 00:23:18.420 Nicolas Sucari: Okay.

216 00:23:18.860 00:23:19.620 Nicolas Sucari: Okay.

217 00:23:20.260 00:23:25.910 Awaish Kumar: Okay, thanks. I just message him if he’s joining, because, yeah.

218 00:23:25.910 00:23:26.700 Nicolas Sucari: Yay!

219 00:23:27.240 00:23:28.309 Awaish Kumar: Still on a call.

220 00:23:29.990 00:23:37.239 Nicolas Sucari: Okay? Well, okay, so May. Maybe we can drop. And when says he’s free, we can jump back in. Okay.

221 00:23:39.340 00:23:40.140 Awaish Kumar: Okay.

222 00:23:40.550 00:23:41.240 Awaish Kumar: True.

223 00:23:41.240 00:23:42.319 Nicolas Sucari: Thank you. Awaish.

224 00:23:42.600 00:23:43.060 Awaish Kumar: Thank you.

225 00:23:43.060 00:23:47.010 Nicolas Sucari: Let me know if you have any other question, or if you need any help with notion

226 00:23:47.140 00:23:49.300 Nicolas Sucari: stuff, I can help you there. Okay.

227 00:23:50.790 00:23:51.990 Awaish Kumar: Wow!

228 00:23:53.990 00:23:59.719 Awaish Kumar: No, I don’t think so right now, because I have been

229 00:23:59.900 00:24:02.239 Awaish Kumar: working on this thing. So I’ve not.

230 00:24:02.240 00:24:02.880 Nicolas Sucari: That’s fine!

231 00:24:02.880 00:24:04.580 Awaish Kumar: Catch other things. Yeah.

232 00:24:05.850 00:24:14.290 Nicolas Sucari: Just let me know if you find it. If you find any issue there, or you need something, and you’re not able to get it. Let me know, and I can help you with that. Okay.

233 00:24:15.040 00:24:15.960 Awaish Kumar: Okay, sure.

234 00:24:17.210 00:24:18.580 Nicolas Sucari: Okay, thank you.

235 00:24:18.580 00:24:19.199 Nicolas Sucari: Thank you.

236 00:24:19.380 00:24:20.170 Nicolas Sucari: Bye, bye.