Meeting Title: Leeds Data Vendor Comparison Sync Date: 2025-12-05 Meeting participants: Mustafa Raja, Amber Lin
WEBVTT
1 00:01:51.030 ⇒ 00:01:52.140 Amber Lin: Hello!
2 00:01:52.780 ⇒ 00:01:53.729 Mustafa Raja: Hey, how are you?
3 00:01:55.220 ⇒ 00:01:56.070 Amber Lin: I’m good.
4 00:01:56.200 ⇒ 00:01:58.570 Amber Lin: I took a look at the…
5 00:01:58.940 ⇒ 00:02:15.049 Amber Lin: the stuff you sent me. What’s the goal, I guess, when we start, is what’s the goal we’re trying to do here? Are we… do we want the execs to make a decision on which one to go forward with?
6 00:02:15.270 ⇒ 00:02:19.559 Mustafa Raja: Yes, so we have, individual, documents.
7 00:02:20.220 ⇒ 00:02:26.709 Mustafa Raja: And what they want is, just a comparison for everything that we have covered so far.
8 00:02:27.120 ⇒ 00:02:30.119 Amber Lin: I see. What would be your recommendation?
9 00:02:30.830 ⇒ 00:02:34.950 Mustafa Raja: My recommendation would be Aulia, but they aren’t… they don’t want to go with Aulia, it’s expensive.
10 00:02:36.240 ⇒ 00:02:37.809 Amber Lin: To go with what?
11 00:02:38.250 ⇒ 00:02:39.280 Mustafa Raja: Aulo?
12 00:02:39.430 ⇒ 00:02:40.700 Amber Lin: This one?
13 00:02:41.000 ⇒ 00:02:46.900 Mustafa Raja: Or actually this one, but they say that they had a call with them, and it’s super expensive.
14 00:02:47.910 ⇒ 00:02:51.399 Amber Lin: I see. Do we have cost data with each of these?
15 00:02:53.230 ⇒ 00:02:53.999 Amber Lin: Oh, he just…
16 00:02:54.160 ⇒ 00:03:02.039 Amber Lin: what the client said, like, we can put Owler as expensive, but what about the other ones? Do we know their relative price?
17 00:03:02.610 ⇒ 00:03:03.429 Mustafa Raja: Just like, I admit.
18 00:03:03.450 ⇒ 00:03:04.380 Amber Lin: medium, low.
19 00:03:04.930 ⇒ 00:03:05.940 Mustafa Raja: I don’t know yet.
20 00:03:07.040 ⇒ 00:03:07.750 Amber Lin: Okay.
21 00:03:07.750 ⇒ 00:03:13.769 Mustafa Raja: But I, I guess, I guess we could… We’ll try looking at pricing.
22 00:03:19.310 ⇒ 00:03:24.110 Mustafa Raja: Yeah, I think Aulia was asking for $60K per month or something?
23 00:03:26.980 ⇒ 00:03:32.450 Mustafa Raja: Let’s see if this aligns, or if they were having… Enterprise calls…
24 00:03:35.780 ⇒ 00:03:39.230 Mustafa Raja: Yeah, I think… I think they were having this one, right?
25 00:03:39.230 ⇒ 00:03:45.249 Amber Lin: Yeah, let me show you what the graph, I’m thinking about. Can I share screen?
26 00:03:45.440 ⇒ 00:03:46.479 Mustafa Raja: Yes, please.
27 00:03:46.680 ⇒ 00:03:56.050 Amber Lin: Yeah. So, right now, I think there’s a lot of… there’s a lot of fields. Essentially, we just want this type of
28 00:03:56.310 ⇒ 00:04:04.479 Amber Lin: Like, this is really ugly, but essentially, it’s this. It’s… Do they… Do they have…
29 00:04:04.750 ⇒ 00:04:13.409 Amber Lin: these things, and how do they compare? Let’s see… Like, that’s also really ugly.
30 00:04:13.540 ⇒ 00:04:30.909 Amber Lin: Just something, like, maybe like this, of yes, no, high, low, what’s the price, what’s this? So, we can just grab a table, and then get started. Let’s look at the fields you have here.
31 00:04:31.720 ⇒ 00:04:41.819 Amber Lin: I think the… what’s the most important one, and how do you un… like, how did you arrive to these numbers?
32 00:04:43.650 ⇒ 00:04:58.740 Mustafa Raja: So, I believe, coverage and accuracy would be the most important one. And then, what this relates to is, data availability in each of the segments, and then the combined score.
33 00:04:58.780 ⇒ 00:05:13.179 Mustafa Raja: So, so they have, so most of their customers, they belong in enterprise category. They have very small startup, startup, customers in startup category.
34 00:05:13.180 ⇒ 00:05:27.429 Mustafa Raja: So, what that means is, we are going to weight, the startup category a little bit lower than the enterprise one, and then, that is how this score is coming up, and this is just…
35 00:05:27.560 ⇒ 00:05:30.920 Mustafa Raja: A combination of accuracy and coverage.
36 00:05:31.470 ⇒ 00:05:34.670 Amber Lin: Okay, we’re…
37 00:05:35.370 ⇒ 00:05:36.709 Mustafa Raja: And then for baseline.
38 00:05:36.710 ⇒ 00:05:41.569 Amber Lin: started. I want to write what you just said down, I think that’s important.
39 00:05:42.440 ⇒ 00:05:43.480 Mustafa Raja: Let me…
40 00:05:47.270 ⇒ 00:05:53.570 Mustafa Raja: I, I had just created it, I haven’t put anything in there, so let me, let me share a link?
41 00:05:53.950 ⇒ 00:05:56.910 Mustafa Raja: link that in the Zoom chat, something like that.
42 00:05:59.690 ⇒ 00:06:00.920 Amber Lin: Okay, I got it.
43 00:06:01.990 ⇒ 00:06:11.700 Amber Lin: Alright, so let’s make… okay, Perfect.
44 00:06:14.680 ⇒ 00:06:19.199 Amber Lin: I guess let’s just first copy this there, and then think about it.
45 00:06:22.740 ⇒ 00:06:23.690 Amber Lin: Okay.
46 00:06:24.350 ⇒ 00:06:25.610 Amber Lin: So…
47 00:06:29.250 ⇒ 00:06:32.380 Amber Lin: What’s the decision they’re trying to make here?
48 00:06:33.590 ⇒ 00:06:48.689 Mustafa Raja: They, they want to, you know, get some deals with these vendors. What they want to do is, they want to be able to, use these vendors as data providers for their
49 00:06:50.810 ⇒ 00:06:51.390 Amber Lin: windy.
50 00:06:51.500 ⇒ 00:06:54.270 Mustafa Raja: Yeah, yeah, with the product that they have.
51 00:06:55.300 ⇒ 00:06:58.800 Amber Lin: Or Leeds Data Vendor.
52 00:07:01.650 ⇒ 00:07:17.099 Amber Lin: Consideration. So… So there’s price… There’s… What’s the latency for?
53 00:07:17.830 ⇒ 00:07:23.179 Mustafa Raja: Latencies, how long does it take for, for API to respond?
54 00:07:23.680 ⇒ 00:07:25.559 Amber Lin: Is it… is that important?
55 00:07:25.820 ⇒ 00:07:28.189 Mustafa Raja: Yes, to them it is important.
56 00:07:30.590 ⇒ 00:07:34.910 Mustafa Raja: So based on that, captain data fails very badly.
57 00:07:35.380 ⇒ 00:07:35.800 Amber Lin: Okay.
58 00:07:35.800 ⇒ 00:07:39.019 Mustafa Raja: Because it takes about 10 seconds and all.
59 00:07:40.000 ⇒ 00:07:49.130 Amber Lin: Okay, so… I guess this is, like, the overall… Okay.
60 00:07:50.040 ⇒ 00:07:56.339 Amber Lin: Mmm… What’s the field coverage data quality, and people sent?
61 00:07:59.240 ⇒ 00:08:06.999 Mustafa Raja: Okay, so, these are, so we are testing two, two different types of data.
62 00:08:07.000 ⇒ 00:08:29.060 Mustafa Raja: on the, on the, on the left side, we have, all of the company data, so coverage accuracy, customer segment fit, baseline compatibility, and company sector total score, right? So this, this all belongs to, company data. And after that, field coverage, data quality, and stuff, this really is…
63 00:08:29.110 ⇒ 00:08:32.740 Mustafa Raja: From people’s API, you know? .
64 00:08:32.740 ⇒ 00:08:33.090 Amber Lin: Hmm.
65 00:08:33.090 ⇒ 00:08:36.289 Mustafa Raja: And Audlet does not have that score, because Aulet does not do people.
66 00:08:37.360 ⇒ 00:08:38.299 Amber Lin: Mmm.
67 00:08:38.309 ⇒ 00:08:42.779 Mustafa Raja: Arle Onida’s company. And this is where this is coming from.
68 00:08:43.400 ⇒ 00:08:45.170 Amber Lin: Gotcha, okay, so let’s…
69 00:08:45.170 ⇒ 00:08:50.550 Mustafa Raja: And then at the end, we are just, you know, aggregating both of them together.
70 00:08:52.000 ⇒ 00:08:52.780 Amber Lin: I see.
71 00:08:52.990 ⇒ 00:08:55.660 Amber Lin: Let’s see…
72 00:08:56.720 ⇒ 00:09:00.299 Mustafa Raja: I’m just writing in Notion. I’m not seeing it getting updated.
73 00:09:00.300 ⇒ 00:09:07.880 Amber Lin: Oh, I’m in Notion. I can share screen, just in case. Are you on the same page as I?
74 00:09:09.350 ⇒ 00:09:11.119 Mustafa Raja: Yeah, I am in the same page.
75 00:09:11.290 ⇒ 00:09:12.370 Amber Lin: You wanna refresh?
76 00:09:13.040 ⇒ 00:09:14.210 Mustafa Raja: Yeah, let me do that.
77 00:09:18.030 ⇒ 00:09:19.500 Mustafa Raja: Okay, yeah, I can see now.
78 00:09:20.330 ⇒ 00:09:20.960 Amber Lin: Okay.
79 00:09:29.080 ⇒ 00:09:34.149 Amber Lin: Do they want people data? If Outlook doesn’t have it, isn’t that a big disadvantage?
80 00:09:34.630 ⇒ 00:09:37.900 Mustafa Raja: Yes, they do want people data, yes.
81 00:09:37.900 ⇒ 00:09:43.399 Amber Lin: So, it sounds like they won’t… if they go with Aller, they have to pay for something else, so that’s…
82 00:09:43.400 ⇒ 00:09:44.249 Mustafa Raja: I don’t know if…
83 00:09:44.250 ⇒ 00:09:45.509 Amber Lin: They want to do that.
84 00:09:45.850 ⇒ 00:09:53.290 Amber Lin: Let me color… color this… Ugh.
85 00:10:00.930 ⇒ 00:10:03.930 Amber Lin: Can you color these cells?
86 00:10:10.010 ⇒ 00:10:15.680 Amber Lin: Anyways… I’m thinking of coloring these columns. Could you help me color them?
87 00:10:15.680 ⇒ 00:10:17.239 Mustafa Raja: So, yeah, let me do that.
88 00:10:17.830 ⇒ 00:10:18.350 Amber Lin: Yeah.
89 00:10:19.710 ⇒ 00:10:25.640 Amber Lin: Alright, maybe we’ll use blue instead. Green feels like we’re saying that it’s good.
90 00:10:26.310 ⇒ 00:10:27.360 Mustafa Raja: Oh, okay.
91 00:10:28.640 ⇒ 00:10:33.210 Amber Lin: Just so that we make a difference between the company and people.
92 00:10:33.910 ⇒ 00:10:35.500 Mustafa Raja: Okay.
93 00:10:39.780 ⇒ 00:10:41.870 Amber Lin: Okay, it’s okay, I got it, I got it, I got it.
94 00:10:42.130 ⇒ 00:10:49.539 Amber Lin: So… Can you write down, under the latency section up top, can you just write down
95 00:10:50.890 ⇒ 00:10:59.579 Amber Lin: like, captain data is out of the question, like, just because, like, what does that big latency mean for them?
96 00:11:00.040 ⇒ 00:11:01.410 Mustafa Raja: Hi, Kiki. Oh.
97 00:11:25.070 ⇒ 00:11:25.800 Mustafa Raja: Alright.
98 00:11:43.280 ⇒ 00:11:46.110 Amber Lin: What’s the threshold they should consider at?
99 00:11:46.560 ⇒ 00:11:52.100 Mustafa Raja: They wanted about, 100… MS…
100 00:11:53.320 ⇒ 00:11:55.430 Mustafa Raja: They’re not getting 100 minutes at all.
101 00:11:56.120 ⇒ 00:11:59.050 Amber Lin: under, like… 5 seconds? 1 second?
102 00:11:59.050 ⇒ 00:12:01.499 Mustafa Raja: No, no, no, under 1 millisecond.
103 00:12:03.070 ⇒ 00:12:07.900 Amber Lin: That’s not very helpful.
104 00:12:08.270 ⇒ 00:12:09.150 Mustafa Raja: Yeah.
105 00:12:12.620 ⇒ 00:12:13.360 Amber Lin: Okay.
106 00:12:14.970 ⇒ 00:12:20.600 Amber Lin: Mmm… Consider other options.
107 00:12:21.360 ⇒ 00:12:23.389 Amber Lin: Oh, thank you.
108 00:12:26.320 ⇒ 00:12:29.899 Amber Lin: Cool, now we go on to the next one.
109 00:12:30.450 ⇒ 00:12:33.789 Amber Lin: So… Let me move this up here.
110 00:12:36.080 ⇒ 00:12:41.189 Amber Lin: So let’s do another one for data availability.
111 00:12:41.440 ⇒ 00:12:51.359 Amber Lin: And we say that… I guess we just do…
112 00:12:52.740 ⇒ 00:12:57.010 Mustafa Raja: So, in terms of availability, do we mean coverage?
113 00:12:57.200 ⇒ 00:13:00.030 Mustafa Raja: What do we mean, the…
114 00:13:00.030 ⇒ 00:13:07.049 Amber Lin: I just want to do, like, yes or no, they have this data. No, they don’t have this data. I just want to point out, like, hey…
115 00:13:07.310 ⇒ 00:13:08.370 Mustafa Raja: Okay, okay, okay.
116 00:13:08.370 ⇒ 00:13:09.320 Amber Lin: data.
117 00:13:09.770 ⇒ 00:13:10.340 Mustafa Raja: Okay.
118 00:13:13.970 ⇒ 00:13:25.430 Amber Lin: I’m gonna make this… Red… How do I… Notion’s table’s so wonky.
119 00:13:26.740 ⇒ 00:13:27.760 Amber Lin: There we go.
120 00:13:28.620 ⇒ 00:13:30.150 Amber Lin: Red text.
121 00:13:39.990 ⇒ 00:13:42.309 Mustafa Raja: Yeah, I can fill these ones, yes.
122 00:13:42.310 ⇒ 00:13:43.000 Amber Lin: Okay.
123 00:14:29.200 ⇒ 00:14:29.950 Amber Lin: Okay, cool.
124 00:14:35.870 ⇒ 00:14:40.299 Amber Lin: Okay, so, I mean, we have only two options right now.
125 00:14:41.220 ⇒ 00:14:43.220 Amber Lin: Right.
126 00:14:44.120 ⇒ 00:14:47.470 Mustafa Raja: Oh, yeah, the swarm of the people.
127 00:14:47.470 ⇒ 00:14:50.240 Amber Lin: Yeah, so that’s much easier, is…
128 00:14:50.280 ⇒ 00:15:08.039 Amber Lin: 1 and 2. And also, like, we don’t have to make a completely accurate decision, we just need to have an opinion, and then the, like, people can disagree or agree, and that doesn’t mean… doesn’t mean that we’re wrong. We’re just… it’s a different opinion. So, what would you recommend between the
129 00:15:08.160 ⇒ 00:15:10.930 Amber Lin: People and the swarm.
130 00:15:12.260 ⇒ 00:15:13.930 Mustafa Raja: Okay, so the,
131 00:15:14.570 ⇒ 00:15:26.620 Mustafa Raja: But I, from what I’m seeing, I would do people, just because they have… they have good balance between, the company set and the people set.
132 00:15:28.680 ⇒ 00:15:29.970 Mustafa Raja: You know, Uber.
133 00:15:29.970 ⇒ 00:15:30.500 Amber Lin: No.
134 00:15:31.110 ⇒ 00:15:36.020 Amber Lin: Describe bal- oh, the, like, the storm has really low coverage and accuracy.
135 00:15:36.020 ⇒ 00:15:44.049 Mustafa Raja: Yeah, so if we look at the company set score, for Swarm, you know, this, the company set column.
136 00:15:44.050 ⇒ 00:16:01.659 Mustafa Raja: for Swarm, we can see that it’s… the score is 65, lower, you know, whereas the people set total score is 86, so it feels like, you know, Swarm has somewhat advantage there, and that is why the overall score
137 00:16:01.660 ⇒ 00:16:08.610 Mustafa Raja: of Swarm somewhat matches with, people data labs, but if we look at
138 00:16:08.740 ⇒ 00:16:16.129 Mustafa Raja: PDL, it has… it has… I believe it… it has a good balance between the two.
139 00:16:16.550 ⇒ 00:16:17.720 Mustafa Raja: So, yeah.
140 00:16:19.470 ⇒ 00:16:27.010 Amber Lin: I see. And is that… is… especially if the…
141 00:16:27.140 ⇒ 00:16:35.330 Amber Lin: like, if default’s focus is enterprise, Doesn’t that mean that… The bad company coverage is…
142 00:16:35.480 ⇒ 00:16:39.960 Amber Lin: It’s bad, really bad for them, because they want the peop… want the company data.
143 00:16:40.760 ⇒ 00:16:41.669 Mustafa Raja: Oh, yeah.
144 00:16:42.810 ⇒ 00:16:50.339 Amber Lin: I see. Okay, let’s write a comment section… Like, right here…
145 00:16:53.340 ⇒ 00:17:08.999 Amber Lin: Yes, let’s say… Lois… Or… company data coverage… But lowly, let’s see, and…
146 00:17:10.030 ⇒ 00:17:12.050 Mustafa Raja: No, no latency would be nice, right?
147 00:17:13.210 ⇒ 00:17:14.030 Amber Lin: Yeah.
148 00:17:17.099 ⇒ 00:17:25.360 Amber Lin: like, personally, I think it, like, I don’t know why they want such low latency, but personally, I think if… I guess they’re… it’s for their customers.
149 00:17:25.670 ⇒ 00:17:33.329 Mustafa Raja: Yeah, so, if their customers would be, you know, enriching hundreds or thousands of, you know, prospects that they have.
150 00:17:33.589 ⇒ 00:17:36.989 Mustafa Raja: They would want, the data to be somewhat instant.
151 00:17:37.180 ⇒ 00:17:37.970 Amber Lin: No.
152 00:17:37.970 ⇒ 00:17:39.769 Mustafa Raja: The same with you, does it?
153 00:17:40.300 ⇒ 00:17:43.650 Amber Lin: Could you help find the cost?
154 00:17:44.030 ⇒ 00:17:45.890 Amber Lin: Here, let me just…
155 00:17:46.130 ⇒ 00:17:50.270 Mustafa Raja: I actually have, have a document for that.
156 00:17:50.390 ⇒ 00:17:58.439 Mustafa Raja: I did earlier, but obviously those are going to be the prices that are public, and not the enterprise plans, right?
157 00:17:58.920 ⇒ 00:18:08.020 Amber Lin: Yeah, I think we can still compare, like, public price, and then they can infer… the… Other company price.
158 00:18:08.630 ⇒ 00:18:12.910 Amber Lin: Okay, I have for… for the swarm… Here.
159 00:18:13.890 ⇒ 00:18:15.260 Amber Lin: In this column.
160 00:18:15.700 ⇒ 00:18:20.700 Mustafa Raja: Let me bring in a table, actually.
161 00:18:23.520 ⇒ 00:18:28.090 Mustafa Raja: So, this table… I’m adding it to the parking.
162 00:18:28.710 ⇒ 00:18:36.369 Mustafa Raja: We could remove these two, but we are going to, you know, analyze these two also later, the Clearbit and Visa.
163 00:18:38.910 ⇒ 00:18:42.519 Mustafa Raja: But this is what the pricing really is.
164 00:18:43.350 ⇒ 00:18:44.130 Amber Lin: Okay.
165 00:18:44.350 ⇒ 00:18:48.280 Amber Lin: Would you mind cleaning that up so that they can read it?
166 00:18:49.310 ⇒ 00:18:51.860 Mustafa Raja: Yeah, I guess.
167 00:18:54.440 ⇒ 00:18:55.190 Amber Lin: Push.
168 00:19:13.860 ⇒ 00:19:24.519 Mustafa Raja: Okay, so Avlia isn’t usable at all, because it comes with an, the API access comes with only the Enterprise plan, and for Enterprise Plan, they’re not mentioning any prices.
169 00:19:26.150 ⇒ 00:19:33.640 Amber Lin: I see. We can keep it there, like, if we can’t find it. Like, they already knew that… they talked to them, so they know that it’s expensive.
170 00:19:34.160 ⇒ 00:19:35.260 Mustafa Raja: Yeah.
171 00:19:35.350 ⇒ 00:19:36.190 Amber Lin: Okay.
172 00:19:37.970 ⇒ 00:19:41.870 Amber Lin: -Ohm… Alright.
173 00:19:44.550 ⇒ 00:19:46.360 Amber Lin: People slash…
174 00:19:50.190 ⇒ 00:19:52.419 Amber Lin: So we would say…
175 00:20:01.230 ⇒ 00:20:02.330 Amber Lin: Hmm…
176 00:20:16.300 ⇒ 00:20:17.220 Amber Lin: Okay.
177 00:20:17.900 ⇒ 00:20:20.539 Mustafa Raja: Do we only need to mention the premiums?
178 00:20:20.710 ⇒ 00:20:22.630 Mustafa Raja: Or all of the plans that they have.
179 00:20:24.120 ⇒ 00:20:29.450 Amber Lin: I mean, they would be in… Enterprise…
180 00:20:29.450 ⇒ 00:20:30.270 Mustafa Raja: Yeah.
181 00:20:31.580 ⇒ 00:20:38.220 Amber Lin: Credits… Essentially, don’t they just want to know the, per credit, the price?
182 00:20:38.730 ⇒ 00:20:39.930 Mustafa Raja: Yeah…
183 00:20:39.930 ⇒ 00:20:44.479 Amber Lin: So we would be in the company, like, company enrichment and search, right?
184 00:20:45.790 ⇒ 00:20:50.140 Mustafa Raja: Yes, we also need for people, also.
185 00:20:51.280 ⇒ 00:20:53.119 Amber Lin: Oh, okay. Yeah.
186 00:20:53.120 ⇒ 00:20:53.520 Mustafa Raja: So…
187 00:20:53.520 ⇒ 00:20:57.150 Amber Lin: Too call… let’s do, like, beep.
188 00:20:57.460 ⇒ 00:21:02.000 Amber Lin: Company and people… Okay.
189 00:21:04.290 ⇒ 00:21:07.890 Amber Lin: Just so that they can… Read this further.
190 00:21:24.870 ⇒ 00:21:27.779 Amber Lin: Could you help me with the rest here?
191 00:21:27.780 ⇒ 00:21:30.339 Mustafa Raja: Oh, yeah, awesome.
192 00:21:32.230 ⇒ 00:21:37.239 Mustafa Raja: So I think this swarm, has the same price across company and people.
193 00:21:37.640 ⇒ 00:21:38.780 Amber Lin: Mmm, okay.
194 00:21:39.190 ⇒ 00:21:43.019 Mustafa Raja: I guess I… I’ll just mention the plans then, right?
195 00:21:43.130 ⇒ 00:21:43.690 Mustafa Raja: Oh…
196 00:22:21.690 ⇒ 00:22:26.589 Amber Lin: So if they’re consuming so much, we can also help them estimate
197 00:22:27.520 ⇒ 00:22:36.700 Amber Lin: Of what they will look like. Okay, so the swarm uses… Base…
198 00:23:03.690 ⇒ 00:23:05.869 Mustafa Raja: Sorry, I got drunk,
199 00:23:09.980 ⇒ 00:23:10.750 Mustafa Raja: Hay?
200 00:23:11.620 ⇒ 00:23:12.690 Amber Lin: Sorry?
201 00:23:13.120 ⇒ 00:23:18.839 Mustafa Raja: Yeah, I got robbed, because of bad connection, sorry, I didn’t hear you, what you’re saying?
202 00:23:18.840 ⇒ 00:23:22.120 Amber Lin: Oh, it’s okay, I wasn’t saying anything, I was just working on this.
203 00:23:22.450 ⇒ 00:23:22.920 Mustafa Raja: Okay.
204 00:23:25.500 ⇒ 00:23:34.789 Amber Lin: So, there’s also Wiza. We didn’t include it… WISA or Clearabit, we didn’t include it in the…
205 00:23:34.900 ⇒ 00:23:36.780 Amber Lin: Like, the aggregate table.
206 00:23:37.500 ⇒ 00:23:52.359 Mustafa Raja: This one, yeah, so, so this is the, we haven’t really, gotten to all of the vendors right now, so what we are going to do is we are going to add, about 6 more vendors, you know, here.
207 00:23:53.060 ⇒ 00:23:57.240 Mustafa Raja: So, Clarebit and Visa are going to be, part of those.
208 00:23:57.830 ⇒ 00:23:59.880 Amber Lin: Okay, so I’ll just…
209 00:24:05.380 ⇒ 00:24:06.900 Amber Lin: Individual…
210 00:24:31.500 ⇒ 00:24:38.150 Amber Lin: Oh, so this is… so for the swarm, are they credit-based, or are they just flat price?
211 00:24:42.680 ⇒ 00:24:44.509 Mustafa Raja: Sorry, could you say that again?
212 00:24:44.510 ⇒ 00:24:51.940 Amber Lin: For the swarm, is it credit-based, or is it, like, flat platform, like, premium or tier price?
213 00:24:54.340 ⇒ 00:24:56.670 Mustafa Raja: Let me actually double-check that…
214 00:25:00.970 ⇒ 00:25:02.380 Mustafa Raja: It doesn’t swarm.
215 00:25:07.680 ⇒ 00:25:08.700 Mustafa Raja: Potion.
216 00:25:33.580 ⇒ 00:25:37.600 Mustafa Raja: Yeah, so the public data does not mention
217 00:25:40.410 ⇒ 00:25:45.309 Mustafa Raja: So it does say that, it’s based on credits, right? But it does.
218 00:25:45.310 ⇒ 00:25:46.010 Amber Lin: Hmm.
219 00:25:46.010 ⇒ 00:25:49.849 Mustafa Raja: Does not tell us, how many credits we are going to get.
220 00:25:49.850 ⇒ 00:25:50.790 Amber Lin: I see.
221 00:25:51.190 ⇒ 00:25:54.599 Mustafa Raja: Okay, yeah, I see that now.
222 00:25:58.150 ⇒ 00:26:02.379 Mustafa Raja: Okay, I think for the base one, we are going to get, 1000.
223 00:26:02.540 ⇒ 00:26:03.580 Mustafa Raja: credits.
224 00:26:03.740 ⇒ 00:26:05.910 Mustafa Raja: And then,
225 00:26:06.250 ⇒ 00:26:15.640 Mustafa Raja: For the premium one, if we need 10K, it’s going to be, $299, and if we need 50K, it’s going to be…
226 00:26:16.270 ⇒ 00:26:24.450 Mustafa Raja: 500, and… Likewise, for 300… they go till 300,000.
227 00:26:24.690 ⇒ 00:26:30.429 Mustafa Raja: Credits, and then premium plan becomes $1,000 per month.
228 00:26:31.310 ⇒ 00:26:32.570 Mustafa Raja: Does that make sense?
229 00:26:33.550 ⇒ 00:26:35.860 Amber Lin: So, 300K credits…
230 00:26:36.740 ⇒ 00:26:39.440 Mustafa Raja: The premium plan becomes $1000 per month.
231 00:26:39.620 ⇒ 00:26:43.420 Amber Lin: X… Okay.
232 00:26:44.040 ⇒ 00:26:52.910 Amber Lin: Gotcha. So that, they have a base plus cred… I don’t know.
233 00:27:03.190 ⇒ 00:27:04.969 Mustafa Raja: I can share my screen.
234 00:27:05.080 ⇒ 00:27:05.759 Mustafa Raja: So we can look at.
235 00:27:05.760 ⇒ 00:27:07.419 Amber Lin: Oh, sure, sure.
236 00:27:12.860 ⇒ 00:27:17.370 Mustafa Raja: Yeah, so, so, they have a scroll bar here.
237 00:27:17.600 ⇒ 00:27:30.100 Mustafa Raja: That, you know, goes up with this. So, for 1K, I don’t know if free includes 1K, I don’t think it includes 1K, or if it includes any credits at all. So, base would be about
238 00:27:30.340 ⇒ 00:27:36.879 Mustafa Raja: 1K, right? And then if we need 10,000, that’s going to be premium.
239 00:27:37.400 ⇒ 00:27:50.510 Mustafa Raja: And then, for 50,000 credits, it’s going to become, 300,000, it goes about $1,000 per month.
240 00:27:51.830 ⇒ 00:27:54.080 Amber Lin: Gotcha. Okay.
241 00:27:54.440 ⇒ 00:27:55.840 Amber Lin: So…
242 00:27:59.860 ⇒ 00:28:03.439 Amber Lin: So, is that… is it the same case for Wizza?
243 00:28:04.560 ⇒ 00:28:06.129 Mustafa Raja: Let me see…
244 00:28:10.830 ⇒ 00:28:11.600 Amber Lin: That’s true.
245 00:28:25.840 ⇒ 00:28:29.219 Mustafa Raja: I think they only provide us emails and email plus phones.
246 00:28:34.440 ⇒ 00:28:35.210 Mustafa Raja: Yeah.
247 00:28:35.970 ⇒ 00:28:39.289 Amber Lin: So we say that they’re limited in what they provide.
248 00:28:39.530 ⇒ 00:28:43.169 Mustafa Raja: I’d still want to, you know, double-check that.
249 00:28:43.170 ⇒ 00:28:43.570 Amber Lin: Okay.
250 00:28:43.570 ⇒ 00:28:46.110 Mustafa Raja: So, unlimited phones, unlimited this.
251 00:28:46.400 ⇒ 00:28:54.130 Mustafa Raja: Team analytics… Yeah, I’d want to, you know, see what their API gives us, and… Cool. Then…
252 00:28:55.280 ⇒ 00:29:00.640 Mustafa Raja: Alright, are you adding 6 more vendors? When is this due?
253 00:29:01.900 ⇒ 00:29:05.900 Mustafa Raja: I think mid-next week.
254 00:29:06.550 ⇒ 00:29:20.269 Amber Lin: Mid-next week. Okay, let’s just look at the… let’s go back to the Notion doc and look at its structure, just… I want to make sure you have, like, a format to plug things in. So now we have…
255 00:29:21.070 ⇒ 00:29:27.220 Amber Lin: I guess we can start it off by… Yeah, okay.
256 00:29:27.890 ⇒ 00:29:37.970 Amber Lin: I know we’ll cut things, like, latency is a threshold, so we’ll cut things out based on latency. And then… and I think the form…
257 00:29:38.320 ⇒ 00:29:44.870 Amber Lin: what we have… Theta… Yeah, okay, so…
258 00:29:45.470 ⇒ 00:29:49.280 Amber Lin: Price, latency, and then we have data.
259 00:29:50.900 ⇒ 00:29:55.610 Amber Lin: Data availability and quality.
260 00:29:56.970 ⇒ 00:29:58.600 Amber Lin: And then…
261 00:30:03.750 ⇒ 00:30:13.179 Amber Lin: Vendors… consider… Criteria, okay.
262 00:30:19.840 ⇒ 00:30:22.299 Amber Lin: Alright, so we have that…
263 00:30:29.570 ⇒ 00:30:35.280 Amber Lin: That’s good to have… what are the… so we’re adding 6 more companies.
264 00:30:35.620 ⇒ 00:30:38.609 Amber Lin: We’ll also put it in latency, too.
265 00:30:38.990 ⇒ 00:30:41.439 Amber Lin: To eliminate some of them, and then…
266 00:30:43.370 ⇒ 00:30:49.710 Amber Lin: eliminate some of them based on data availability, and then we can… I guess then we look at quality together.
267 00:30:52.620 ⇒ 00:30:54.349 Mustafa Raja: Yeah, that makes sense.
268 00:30:55.530 ⇒ 00:30:56.930 Amber Lin: Yeah, and…
269 00:30:56.930 ⇒ 00:31:00.500 Mustafa Raja: Yeah, they… Like, the captain.
270 00:31:00.500 ⇒ 00:31:03.510 Amber Lin: Sorry, go ahead.
271 00:31:04.290 ⇒ 00:31:14.060 Mustafa Raja: Yeah, I was just saying, for example, for captain data, it doesn’t make sense, you know? 10 seconds for the reply isn’t good.
272 00:31:14.060 ⇒ 00:31:14.850 Amber Lin: Yeah.
273 00:31:16.090 ⇒ 00:31:18.470 Mustafa Raja: But, yeah. That makes sense.
274 00:31:19.870 ⇒ 00:31:20.530 Amber Lin: Cool.
275 00:31:25.610 ⇒ 00:31:28.670 Mustafa Raja: Should we say bad latency rather than strong latency?
276 00:31:30.580 ⇒ 00:31:31.840 Amber Lin: Oh, yes.
277 00:31:32.910 ⇒ 00:31:43.290 Amber Lin: Should we… Hmm… Do you think… I think we should make this table instead, like, of…
278 00:31:46.090 ⇒ 00:32:03.640 Amber Lin: Let me make another one. So we’ll say… He said, latency… We say… Dave, coverage.
279 00:32:05.750 ⇒ 00:32:14.430 Amber Lin: Let me say… the quantity… Rice.
280 00:33:04.230 ⇒ 00:33:09.310 Amber Lin: And then, I think you can… Mark these with color.
281 00:33:09.980 ⇒ 00:33:11.799 Amber Lin: Okay, so you’ve read.
282 00:33:13.000 ⇒ 00:33:13.870 Mustafa Raja: Oh, yeah.
283 00:33:14.090 ⇒ 00:33:15.170 Amber Lin: Good friend.
284 00:33:16.030 ⇒ 00:33:19.269 Mustafa Raja: Oh, no, no, so lower latency would be nice, right? So…
285 00:33:19.430 ⇒ 00:33:20.060 Amber Lin: Oh, so…
286 00:33:20.060 ⇒ 00:33:22.419 Mustafa Raja: Let me, let me, let me paint it green.
287 00:33:22.660 ⇒ 00:33:23.670 Mustafa Raja: Yes.
288 00:33:23.820 ⇒ 00:33:26.660 Mustafa Raja: The convention here would be a little confusing, yeah.
289 00:33:28.060 ⇒ 00:33:30.350 Amber Lin: I… you said green, I made it green.
290 00:33:30.960 ⇒ 00:33:39.000 Amber Lin: Okay, cool. And then that will be, like, an overview table.
291 00:33:39.670 ⇒ 00:33:40.610 Amber Lin: Over…
292 00:33:40.610 ⇒ 00:33:47.110 Mustafa Raja: Okay. Okay, and does this table, need to have all of the columns, or all of the cells filled?
293 00:33:51.360 ⇒ 00:34:01.700 Amber Lin: I think no, because it just needs to be as high level as possible. They just need to know good, bad, and they just can’t… they just need something to help them kick things out.
294 00:34:02.670 ⇒ 00:34:06.460 Amber Lin: Like, I would… I would probably only color…
295 00:34:07.410 ⇒ 00:34:12.899 Amber Lin: I don’t know. We’ll see what it looks like. Once you added more stuff, because, like…
296 00:34:14.460 ⇒ 00:34:20.270 Amber Lin: Okay. When would you have more of the stuff? I… we can work on this together again, like…
297 00:34:20.620 ⇒ 00:34:23.210 Amber Lin: Before Tuesday or something? Yeah, bye.
298 00:34:23.520 ⇒ 00:34:27.730 Mustafa Raja: Yeah, wednesday would be nice.
299 00:34:27.730 ⇒ 00:34:30.239 Amber Lin: Because on Thursdays, we have…
300 00:34:30.300 ⇒ 00:34:33.410 Mustafa Raja: We have the, what’s it called, the meetings, right?
301 00:34:33.830 ⇒ 00:34:36.070 Amber Lin: Okay, okay Cool.
302 00:34:41.920 ⇒ 00:34:42.780 Amber Lin: Okay.
303 00:35:03.380 ⇒ 00:35:07.990 Amber Lin: Okay, this structure, let’s book a meeting Wednesday.
304 00:35:08.220 ⇒ 00:35:09.980 Amber Lin: We’ll talk then.
305 00:35:11.150 ⇒ 00:35:14.619 Amber Lin: Yeah, thank you so much for… Of course. …for going through this.
306 00:35:14.800 ⇒ 00:35:16.959 Mustafa Raja: Yeah, this was bugging me.
307 00:35:17.250 ⇒ 00:35:21.580 Amber Lin: I know, it’s… it’s a different… it’s a different brain, and, like, I.
308 00:35:21.580 ⇒ 00:35:27.720 Mustafa Raja: Yeah, I spend… I spent a lot of time to come up the table…
309 00:35:27.720 ⇒ 00:35:28.100 Amber Lin: That’s yours.
310 00:35:28.100 ⇒ 00:35:29.120 Mustafa Raja: you earlier.
311 00:35:29.370 ⇒ 00:35:43.259 Amber Lin: It’s good, like, it makes sense, it’s clear. I’ll just put it… like, usually our ABC session is pretty short. I’m just gonna put it right before that.
312 00:35:43.400 ⇒ 00:35:44.820 Amber Lin: beefball.
313 00:35:47.830 ⇒ 00:35:52.790 Mustafa Raja: Also, for ABC, feel free to, you know, assign some stuff to me.
314 00:35:53.000 ⇒ 00:35:57.779 Mustafa Raja: I have, 5 hours weekly, assigned to me for that, right?
315 00:35:58.020 ⇒ 00:35:58.800 Amber Lin: Okay.
316 00:35:58.800 ⇒ 00:36:02.690 Mustafa Raja: Cool. And last month, I worked very little, so…
317 00:36:02.690 ⇒ 00:36:06.720 Amber Lin: I see, I see. I’ve just not been…
318 00:36:06.900 ⇒ 00:36:15.139 Amber Lin: looking at ABC as much, which is… which is a problem. So, I’ll look at it, and if I have work, I’ll remember that you have hours.
319 00:36:16.300 ⇒ 00:36:18.930 Mustafa Raja: Yeah, yeah, yeah, okay, okay, thank you.
320 00:36:18.930 ⇒ 00:36:19.720 Amber Lin: Thanks!
321 00:36:19.980 ⇒ 00:36:20.830 Amber Lin: Bye!
322 00:36:20.830 ⇒ 00:36:22.399 Mustafa Raja: Matt, thanks so much, bye!