Meeting Title: Data Accuracy Testing Sync Date: 2025-10-08 Meeting participants: Justin Breshears, Mustafa Raja, Samuel Roberts
WEBVTT
1 00:00:15.430 ⇒ 00:00:16.500 Mustafa Raja: Ayy.
2 00:00:18.190 ⇒ 00:00:19.100 Justin Breshears: Oof.
3 00:00:20.400 ⇒ 00:00:21.850 Mustafa Raja: How’s the weather there?
4 00:00:23.050 ⇒ 00:00:26.090 Justin Breshears: It’s alright. Still pretty hot here, but…
5 00:00:26.090 ⇒ 00:00:26.620 Mustafa Raja: Hmm.
6 00:00:26.620 ⇒ 00:00:27.410 Justin Breshears: Nope.
7 00:00:29.180 ⇒ 00:00:32.369 Mustafa Raja: Yeah, winters start to creep in over here.
8 00:00:34.340 ⇒ 00:00:35.830 Justin Breshears: What’s it like for you?
9 00:00:36.360 ⇒ 00:00:41.820 Mustafa Raja: It’s about, I guess, 22, 23 degrees Celsius.
10 00:00:42.040 ⇒ 00:00:43.429 Mustafa Raja: Which is pretty good.
11 00:00:43.430 ⇒ 00:00:44.100 Samuel Roberts: Yeah.
12 00:00:50.860 ⇒ 00:00:51.900 Justin Breshears: Right.
13 00:00:52.310 ⇒ 00:00:54.920 Justin Breshears: Okay, let’s start defaults.
14 00:01:04.140 ⇒ 00:01:06.499 Justin Breshears: How do we… do we get…
15 00:01:06.750 ⇒ 00:01:14.339 Justin Breshears: the sample set for the companies all squared away, or we still need anybody’s input or changes on that?
16 00:01:14.940 ⇒ 00:01:19.609 Mustafa Raja: Yeah, and the samples that, UTM did approve,
17 00:01:19.610 ⇒ 00:01:20.190 Justin Breshears: Yep.
18 00:01:20.560 ⇒ 00:01:24.870 Mustafa Raja: Approved with la- sorry, yesterday, yeah.
19 00:01:24.870 ⇒ 00:01:25.509 Justin Breshears: We’ll just sit down.
20 00:01:25.510 ⇒ 00:01:29.289 Mustafa Raja: We have moved to the testing phases.
21 00:01:30.050 ⇒ 00:01:30.610 Justin Breshears: Okay.
22 00:01:31.310 ⇒ 00:01:32.520 Justin Breshears: Awesome.
23 00:01:34.030 ⇒ 00:01:35.589 Justin Breshears: We’re in progress on this.
24 00:01:36.320 ⇒ 00:01:49.930 Mustafa Raja: Yeah, so I was able to create, so, so I was able to, create a clay workflow, and I have, all of the data.
25 00:01:49.960 ⇒ 00:01:57.110 Mustafa Raja: That Owler does, give for the sample set that we have for all of the companies.
26 00:01:57.860 ⇒ 00:02:01.460 Mustafa Raja: Now, let me share my screen.
27 00:02:01.870 ⇒ 00:02:02.840 Justin Breshears: Yeah, go for it.
28 00:02:07.040 ⇒ 00:02:08.470 Mustafa Raja: Here. Okay.
29 00:02:10.400 ⇒ 00:02:13.800 Mustafa Raja: Okay… fart.
30 00:02:16.430 ⇒ 00:02:18.250 Mustafa Raja: Yeah.
31 00:02:20.250 ⇒ 00:02:26.460 Mustafa Raja: So, this one… Let’s open it up again.
32 00:02:27.480 ⇒ 00:02:28.190 Mustafa Raja: Yes.
33 00:02:35.820 ⇒ 00:02:58.450 Mustafa Raja: Okay, so here we see the companies, and this is the data that, that, that, Audler is giving us for the companies. And we see that it works, very well with, almost all of the segments, except with the startups. The errors we see here have
34 00:02:58.460 ⇒ 00:03:01.050 Mustafa Raja: It could not… hmm.
35 00:03:01.290 ⇒ 00:03:14.439 Mustafa Raja: Yeah, that’s something else. Yeah, the resource could not be found, meaning it did not find the… what’s it called? The domain. The company isn’t in their database or something. Same with this.
36 00:03:15.010 ⇒ 00:03:17.819 Mustafa Raja: put this… The domain isn’t correct.
37 00:03:18.350 ⇒ 00:03:20.300 Mustafa Raja: Let’s feed on this one.
38 00:03:20.660 ⇒ 00:03:39.089 Mustafa Raja: Yeah, found it. Okay. Yeah, so for startups, it does struggle a little bit, but for SMB, mid-market, and enterprise, the data looks really good now. Let’s open up Notion…
39 00:03:39.250 ⇒ 00:03:41.269 Mustafa Raja: Now, this is done.
40 00:03:41.520 ⇒ 00:04:04.900 Mustafa Raja: Aula does give us employee count, location, industry. It does not give us funding or rounds, but that’s also optional. So, baseline requirements does pass. For data accuracy, what we need is the actual data for these fields, so then we can compare how, how accurate AULIA’s data, is, right?
41 00:04:04.900 ⇒ 00:04:11.299 Mustafa Raja: And… Let’s go back… let’s go here…
42 00:04:12.330 ⇒ 00:04:37.209 Mustafa Raja: And then Utam said that, we should gather this data by hand, and, he said that he gone through the companies, so, so, to calculate accuracy. I am, I’m waiting on that. Coverage, it does cover all of the fields that are required, so that’s good. Segment, for customer segment fit, this is pretty fitting because.
43 00:04:37.210 ⇒ 00:04:41.730 Mustafa Raja: The only thing it struggles for is the least required one.
44 00:04:41.730 ⇒ 00:04:46.359 Mustafa Raja: So I feel pretty good about that. Let’s see how…
45 00:04:46.450 ⇒ 00:04:56.020 Mustafa Raja: How much of a share it is. So, it struggles with this 13%, and not much. It doesn’t struggle much, but it does struggle with this 13%.
46 00:04:56.580 ⇒ 00:05:07.800 Mustafa Raja: Apart from that, this uniqueness of signals, this is a comparison with the other providers, so I cannot say much about this right now.
47 00:05:08.010 ⇒ 00:05:10.800 Mustafa Raja: So yeah, this is the state of it.
48 00:05:15.470 ⇒ 00:05:18.169 Samuel Roberts: But once we have all the actual,
49 00:05:19.190 ⇒ 00:05:22.499 Samuel Roberts: data that will be useful for all the other providers as well, right?
50 00:05:22.500 ⇒ 00:05:26.520 Mustafa Raja: Yeah, yeah, yeah, yeah, yeah. Because the list is going to be the same for everyone.
51 00:05:28.370 ⇒ 00:05:28.950 Samuel Roberts: Great.
52 00:05:30.700 ⇒ 00:05:31.510 Mustafa Raja: Yeah.
53 00:05:32.310 ⇒ 00:05:40.069 Mustafa Raja: Yeah, so this is it. Let me know, let me know your thoughts on this. If I should do anything, any different, let me know.
54 00:05:49.890 ⇒ 00:05:56.570 Samuel Roberts: No, I think that sounds alright to me. I’m just wondering, so we have to wait on UTOM to do the act… forget to get the accuracy.
55 00:05:56.850 ⇒ 00:05:58.909 Samuel Roberts: But… is ready here?
56 00:05:59.370 ⇒ 00:06:00.100 Mustafa Raja: Yeah.
57 00:06:01.520 ⇒ 00:06:03.899 Samuel Roberts: Are you able to see,
58 00:06:04.080 ⇒ 00:06:10.979 Samuel Roberts: what percentage of that startups actually had errors, or how, like, is it… it just looks like it’s pretty countable, but…
59 00:06:11.250 ⇒ 00:06:13.320 Samuel Roberts: If you just… I’m just curious.
60 00:06:13.320 ⇒ 00:06:16.409 Mustafa Raja: Let me filter this, and I can…
61 00:06:18.220 ⇒ 00:06:18.780 Samuel Roberts: Okay.
62 00:06:18.780 ⇒ 00:06:22.880 Mustafa Raja: And then, do a little… startups.
63 00:06:22.880 ⇒ 00:06:23.700 Samuel Roberts: Yeah.
64 00:06:28.040 ⇒ 00:06:28.709 Mustafa Raja: It doesn’t suck.
65 00:06:28.760 ⇒ 00:06:30.420 Samuel Roberts: 1, 2, 3…
66 00:06:30.980 ⇒ 00:06:35.920 Mustafa Raja: Yeah, so the errors are there, but there are some missing fields also, right?
67 00:06:36.170 ⇒ 00:06:37.280 Samuel Roberts: So… Yeah.
68 00:06:37.280 ⇒ 00:06:43.579 Mustafa Raja: It did find the company, but in its database, they didn’t have these fields.
69 00:06:43.750 ⇒ 00:06:50.489 Mustafa Raja: They only knew the company type. And some other information that I’m not displaying, like website and
70 00:06:50.810 ⇒ 00:06:52.689 Mustafa Raja: Wait, go back to the company type?
71 00:06:57.530 ⇒ 00:06:58.640 Samuel Roberts: Huh, okay.
72 00:07:01.870 ⇒ 00:07:02.970 Mustafa Raja: So this…
73 00:07:04.970 ⇒ 00:07:06.040 Samuel Roberts: I’m sorry, what?
74 00:07:06.460 ⇒ 00:07:09.110 Samuel Roberts: I was just… Go ahead.
75 00:07:09.500 ⇒ 00:07:16.560 Mustafa Raja: So there’s two types of indications of what sort of a company it is. One is status, and the other one is company type.
76 00:07:16.560 ⇒ 00:07:17.500 Samuel Roberts: Okay.
77 00:07:17.500 ⇒ 00:07:22.870 Mustafa Raja: These somehow, I think these, these correlate, I guess.
78 00:07:24.320 ⇒ 00:07:26.629 Samuel Roberts: Yeah, because I wouldn’t expect the…
79 00:07:26.950 ⇒ 00:07:29.850 Samuel Roberts: One’s categorized as startup to be all public.
80 00:07:30.200 ⇒ 00:07:43.000 Mustafa Raja: Yeah, me too. This is weird, because, almost… almost 80% of the companies that are, whether in whatever segment, are public.
81 00:07:43.110 ⇒ 00:07:44.110 Mustafa Raja: Interesting, okay.
82 00:07:44.270 ⇒ 00:07:46.239 Mustafa Raja: Seem weird to me, too.
83 00:07:46.560 ⇒ 00:07:54.719 Mustafa Raja: So I guess the better, better standard here would be to use status instead of, company type.
84 00:07:55.160 ⇒ 00:08:02.119 Mustafa Raja: What are the other statuses besides independent? Oh… so this is independent…
85 00:08:02.410 ⇒ 00:08:04.279 Mustafa Raja: These are all going to be independent houses.
86 00:08:07.170 ⇒ 00:08:11.659 Samuel Roberts: Okay, I’m… I’m just curious. I mean, we can sort this out after a little bit, but…
87 00:08:11.660 ⇒ 00:08:12.410 Mustafa Raja: Yeah, yeah.
88 00:08:12.640 ⇒ 00:08:16.000 Samuel Roberts: That might be another signal that they’re not… Potentially.
89 00:08:16.000 ⇒ 00:08:16.350 Mustafa Raja: Yeah.
90 00:08:16.350 ⇒ 00:08:17.360 Samuel Roberts: Startups.
91 00:08:19.140 ⇒ 00:08:19.660 Mustafa Raja: Yeah.
92 00:08:19.660 ⇒ 00:08:23.509 Samuel Roberts: Or it’s, you know, either they’re not startups, or something’s wrong with the data.
93 00:08:23.510 ⇒ 00:08:30.120 Mustafa Raja: I think the startups, we can identify them by the number of employees that they have. Employee count is pretty low over here.
94 00:08:30.120 ⇒ 00:08:35.219 Samuel Roberts: Oh, sure. Well, yeah, I guess in my mind, a startup is not necessarily just a small company, but…
95 00:08:35.520 ⇒ 00:08:36.409 Mustafa Raja: Oh.
96 00:08:37.500 ⇒ 00:08:43.570 Samuel Roberts: Like, if they’ve been around, like, what was the… there was one that said… Like, 1989 or something.
97 00:08:43.929 ⇒ 00:08:44.649 Mustafa Raja: Oh.
98 00:08:44.829 ⇒ 00:08:51.789 Mustafa Raja: Yeah, like, this one says 88. This one’s 1968.
99 00:08:51.870 ⇒ 00:08:54.650 Samuel Roberts: Yeah, what is that? Go over? Who, who is that?
100 00:08:54.650 ⇒ 00:09:00.290 Mustafa Raja: That is… CSB, what’s that?
101 00:09:05.920 ⇒ 00:09:08.600 Mustafa Raja: Let’s go and take a look at the…
102 00:09:09.020 ⇒ 00:09:14.889 Samuel Roberts: They might just be a small company, you know? Or if they’re not, something’s… Definitely off.
103 00:09:21.510 ⇒ 00:09:24.470 Mustafa Raja: And there’s not… I don’t think there’s much going on over here.
104 00:09:26.130 ⇒ 00:09:29.829 Samuel Roberts: Yeah, go to the, About Us real quick, see what they say.
105 00:09:30.110 ⇒ 00:09:33.019 Justin Breshears: I’m gonna leave the meeting open for y’all, and I’m gonna hop.
106 00:09:33.020 ⇒ 00:09:35.350 Samuel Roberts: Yeah, yeah, you’re probably good at this point, sorry about that.
107 00:09:35.350 ⇒ 00:09:36.330 Justin Breshears: No worries.
108 00:09:36.560 ⇒ 00:09:37.560 Justin Breshears: Thanks, y’all.
109 00:09:38.670 ⇒ 00:09:41.470 Mustafa Raja: Thank you. Yeah, so about us…
110 00:09:41.720 ⇒ 00:09:44.980 Mustafa Raja: Doesn’t really say much about when they.
111 00:09:44.980 ⇒ 00:09:49.080 Samuel Roberts: Yeah, well, when we get some of the actual data, maybe if Utam can find some.
112 00:09:49.310 ⇒ 00:09:49.849 Mustafa Raja: Yeah, yeah.
113 00:09:49.850 ⇒ 00:09:52.579 Samuel Roberts: I’ll see if it’s… Accurate or not.
114 00:09:54.290 ⇒ 00:10:07.479 Mustafa Raja: Yeah, but this is… this is something that isn’t needed, mean… by needed, what I mean is, in the required… sorry, sorry, in the required.
115 00:10:07.480 ⇒ 00:10:08.330 Samuel Roberts: Right.
116 00:10:08.330 ⇒ 00:10:15.379 Mustafa Raja: So, I guess the testing that I will be doing would be on these 4 feeds.
117 00:10:15.380 ⇒ 00:10:16.140 Samuel Roberts: Yes.
118 00:10:16.140 ⇒ 00:10:26.579 Mustafa Raja: Not all of them, because that is going to be a lot of difference, because not all of the… what’s it called? Providers are going to provide us the same fields, right?
119 00:10:26.580 ⇒ 00:10:32.139 Samuel Roberts: Of course, of course. Yeah, it’s more just, like, wondering if things are classified wrong to begin with.
120 00:10:32.140 ⇒ 00:10:32.500 Mustafa Raja: Yeah.
121 00:10:32.500 ⇒ 00:10:35.269 Samuel Roberts: If we’re just worried about employee count, then it’s not a big deal.
122 00:10:35.890 ⇒ 00:10:38.440 Mustafa Raja: Yeah.
123 00:10:39.570 ⇒ 00:10:42.849 Samuel Roberts: But if they’re a public company that’s been around since… whatever…
124 00:10:42.850 ⇒ 00:10:43.880 Mustafa Raja: 1960.
125 00:10:43.880 ⇒ 00:10:47.820 Samuel Roberts: 68, I’m a little skeptical of that categorization, you know?
126 00:10:49.200 ⇒ 00:10:53.110 Samuel Roberts: But… It’s just a signal for now, so we’ll sort that out.
127 00:10:54.840 ⇒ 00:10:58.790 Mustafa Raja: The revenue is pretty… not… startup.
128 00:10:58.790 ⇒ 00:11:03.039 Samuel Roberts: Yeah, I’m wondering… C… CS… it’s P.
129 00:11:04.850 ⇒ 00:11:07.560 Samuel Roberts: DSPI? Is that what it is? Yeah.
130 00:11:07.560 ⇒ 00:11:08.330 Mustafa Raja: Yeah.
131 00:11:11.020 ⇒ 00:11:13.730 Samuel Roberts: Global Technology Solutions Company.
132 00:11:14.730 ⇒ 00:11:17.560 Samuel Roberts: 1968 in Lowell, Massachusetts.
133 00:11:19.250 ⇒ 00:11:20.040 Samuel Roberts: Huh.
134 00:11:21.380 ⇒ 00:11:25.970 Samuel Roberts: Yeah, they’re a public company. They got a… they got a stock ticker and everything.
135 00:11:27.610 ⇒ 00:11:31.939 Mustafa Raja: Oh, so if any company has got a stock or something, they’re public?
136 00:11:33.330 ⇒ 00:11:39.150 Samuel Roberts: Yeah, so they’re probably not… What I’m saying is I bet some of that data is inaccurate.
137 00:11:39.720 ⇒ 00:11:42.119 Samuel Roberts: For them, specifically, I’m sure there’s more, but…
138 00:11:46.080 ⇒ 00:11:47.410 Samuel Roberts: Yeah, I don’t know.
139 00:11:48.020 ⇒ 00:11:50.670 Samuel Roberts: Is there a way to just, like, mark that one?
140 00:11:50.960 ⇒ 00:11:54.659 Samuel Roberts: That we’re, like, Caught one that we’re a little unsure about?
141 00:11:54.880 ⇒ 00:12:02.460 Mustafa Raja: Weekend… color this, I… solo action.
142 00:12:05.820 ⇒ 00:12:09.869 Mustafa Raja: There was a way… To color this…
143 00:12:15.850 ⇒ 00:12:16.450 Mustafa Raja: Hmm…
144 00:12:16.450 ⇒ 00:12:20.279 Samuel Roberts: I just remember CSP for now, I’ll write that down something, but, I think…
145 00:12:20.470 ⇒ 00:12:23.839 Samuel Roberts: That’s one to… like, at least one thing to investigate a little bit, so…
146 00:12:25.590 ⇒ 00:12:26.720 Mustafa Raja: Yeah, yeah.
147 00:12:27.770 ⇒ 00:12:33.080 Samuel Roberts: Yeah, and I’ll figure out how do we color. 11 full-time employees, yeah.
148 00:12:33.830 ⇒ 00:12:35.080 Mustafa Raja: 111, yeah.
149 00:12:35.660 ⇒ 00:12:37.450 Samuel Roberts: Where did that come from originally?
150 00:12:37.570 ⇒ 00:12:38.310 Samuel Roberts: Just clear.
151 00:12:38.310 ⇒ 00:12:39.690 Mustafa Raja: This is from.
152 00:12:39.690 ⇒ 00:12:40.060 Samuel Roberts: Paula?
153 00:12:40.060 ⇒ 00:12:46.179 Mustafa Raja: this list, no, no, no, Apollo, Apollo failed.
154 00:12:46.180 ⇒ 00:12:46.850 Samuel Roberts: Oh, okay.
155 00:12:46.850 ⇒ 00:12:54.170 Mustafa Raja: did give us a lot of companies, but those were B2C plus B2B, and we only needed B2B. So…
156 00:12:54.170 ⇒ 00:12:54.710 Samuel Roberts: Oh, I see.
157 00:12:54.710 ⇒ 00:13:00.349 Mustafa Raja: Most of this data… perplexity helped me gather it.
158 00:13:02.280 ⇒ 00:13:03.300 Samuel Roberts: Hmm, okay.
159 00:13:04.510 ⇒ 00:13:13.110 Samuel Roberts: Just trying to see, I’m on their, like, their investor relations page to see what their… 18% growth in revenue, I don’t see a dollar amount, though.
160 00:13:15.810 ⇒ 00:13:22.619 Samuel Roberts: Revenue for the third fiscal quarter ended June 30th, 2025, increased 18% to $15.4 million.
161 00:13:25.160 ⇒ 00:13:26.699 Mustafa Raja: With you?
162 00:13:28.250 ⇒ 00:13:28.950 Samuel Roberts: What?
163 00:13:29.530 ⇒ 00:13:31.189 Mustafa Raja: Which year was that?
164 00:13:31.690 ⇒ 00:13:34.390 Samuel Roberts: That was the third quarter.
165 00:13:34.820 ⇒ 00:13:36.119 Samuel Roberts: Of this year.
166 00:13:36.500 ⇒ 00:13:39.300 Mustafa Raja: So this isn’t accurate. Let’s see what…
167 00:13:39.300 ⇒ 00:13:41.020 Samuel Roberts: Definitely not accurate, yeah.
168 00:13:42.260 ⇒ 00:13:44.370 Mustafa Raja: Employee country.
169 00:13:44.370 ⇒ 00:13:45.210 Samuel Roberts: Billerica?
170 00:13:45.210 ⇒ 00:13:49.240 Mustafa Raja: This is what, Aulo gave us.
171 00:13:50.450 ⇒ 00:13:52.020 Samuel Roberts: Interesting, okay.
172 00:13:52.170 ⇒ 00:13:52.600 Mustafa Raja: We…
173 00:13:52.600 ⇒ 00:13:53.410 Samuel Roberts: And if there’s another.
174 00:13:53.410 ⇒ 00:13:59.869 Mustafa Raja: Complexity are pretty close, but the actuals, they are pretty far from it.
175 00:14:00.340 ⇒ 00:14:03.400 Samuel Roberts: Where does it say it is? Billerica? Yeah, okay.
176 00:14:04.790 ⇒ 00:14:07.549 Samuel Roberts: Yeah, that’s accurate, so it knows that at least.
177 00:14:10.680 ⇒ 00:14:13.819 Mustafa Raja: This MA is, a Methodist…
178 00:14:14.360 ⇒ 00:14:15.520 Samuel Roberts: Yes, yes.
179 00:14:16.330 ⇒ 00:14:17.170 Mustafa Raja: Okay.
180 00:14:17.340 ⇒ 00:14:18.959 Mustafa Raja: I know THC fixes.
181 00:14:19.400 ⇒ 00:14:20.400 Samuel Roberts: Correct, yeah.
182 00:14:21.600 ⇒ 00:14:24.779 Samuel Roberts: So I don’t know what is going on there, but we’ll have to…
183 00:14:25.370 ⇒ 00:14:27.550 Samuel Roberts: Figure that out at some point, because that’s…
184 00:14:28.180 ⇒ 00:14:31.109 Samuel Roberts: I don’t know if we just caught one, or if there’s a bunch of them, you know?
185 00:14:31.800 ⇒ 00:14:32.720 Mustafa Raja: Yeah, yeah.
186 00:14:33.600 ⇒ 00:14:38.690 Samuel Roberts: Is there a way to see… so, go back to… what… how did… can we see, like, the full response from Apollo?
187 00:14:39.520 ⇒ 00:14:40.020 Mustafa Raja: Oh, really?
188 00:14:40.020 ⇒ 00:14:42.350 Samuel Roberts: Is it just a status or something?
189 00:14:43.040 ⇒ 00:14:44.289 Mustafa Raja: Apollo or Avila?
190 00:14:44.840 ⇒ 00:14:46.529 Samuel Roberts: I’m sorry, Owler, yeah, whoever pulled that data.
191 00:14:46.530 ⇒ 00:14:47.049 Mustafa Raja: Yeah, this is…
192 00:14:47.050 ⇒ 00:14:47.600 Samuel Roberts: Yeah.
193 00:14:47.770 ⇒ 00:14:48.610 Samuel Roberts: Okay.
194 00:14:57.150 ⇒ 00:15:00.459 Samuel Roberts: Okay, so the revenue and stuff was who, then?
195 00:15:02.750 ⇒ 00:15:10.610 Mustafa Raja: So, revenue… we got revenue from, two sources. One is the perplexity, which is this one. That was Perplexity.
196 00:15:10.610 ⇒ 00:15:12.419 Samuel Roberts: Okay, that’s what I was wondering. Okay, yeah.
197 00:15:12.420 ⇒ 00:15:16.300 Mustafa Raja: And then there’s revenue from Auler, which is this one.
198 00:15:19.280 ⇒ 00:15:23.240 Samuel Roberts: Oh, there it is, I see it there, okay. Can you click on Sectors here? Is that…
199 00:15:23.780 ⇒ 00:15:26.239 Mustafa Raja: Yeah, this, this is, industry.
200 00:15:26.240 ⇒ 00:15:29.590 Samuel Roberts: That’s the industry. Okay, yeah, I’m just curious why under-revenue is that. Okay.
201 00:15:29.760 ⇒ 00:15:34.219 Samuel Roberts: That’s really interesting that they’re pulling that data, because they got everything else pretty right, I think, right?
202 00:15:34.350 ⇒ 00:15:38.500 Mustafa Raja: Click on the logo URL, can we look at that real quick? Logo, yeah.
203 00:15:39.500 ⇒ 00:15:45.099 Samuel Roberts: CSPI, that looks right, yeah. Okay, so they’re not off-off, but something’s off.
204 00:15:46.110 ⇒ 00:15:50.600 Mustafa Raja: Yeah, this is also crowdsourced data, I feel.
205 00:15:51.130 ⇒ 00:15:56.280 Mustafa Raja: What Aula does is they, this, the, most of the data is crowdsourced.
206 00:15:57.930 ⇒ 00:16:03.710 Mustafa Raja: That might be an indication of why a few things might be a little off.
207 00:16:05.990 ⇒ 00:16:09.140 Samuel Roberts: Oh, wait a minute, go back to this… 57 point…
208 00:16:10.150 ⇒ 00:16:12.029 Mustafa Raja: Which one? This one.
209 00:16:12.030 ⇒ 00:16:17.510 Samuel Roberts: Oh, so look, the revenue here… yeah, what is that? It’s 1, 2, 3, 1, 2, 57 million, right?
210 00:16:17.510 ⇒ 00:16:19.589 Mustafa Raja: Yeah, yeah. And…
211 00:16:19.590 ⇒ 00:16:20.930 Samuel Roberts: And the other one was what?
212 00:16:21.130 ⇒ 00:16:22.840 Mustafa Raja: 55 mil…
213 00:16:23.060 ⇒ 00:16:25.270 Samuel Roberts: 55 million, okay.
214 00:16:26.100 ⇒ 00:16:28.989 Samuel Roberts: Well, that’s not bad. Employee count seems…
215 00:16:29.520 ⇒ 00:16:35.280 Mustafa Raja: Yeah, my only concern would be that, yeah, perplexity and this is, very close, although perplexity.
216 00:16:35.280 ⇒ 00:16:37.889 Samuel Roberts: Yeah, that’s more… that’s closer than I realized.
217 00:16:37.890 ⇒ 00:16:38.320 Mustafa Raja: Yo.
218 00:16:38.320 ⇒ 00:16:41.329 Samuel Roberts: I just wasn’t… I hadn’t looked that closely at that until I saw this, but…
219 00:16:44.510 ⇒ 00:16:47.180 Samuel Roberts: Oh, it says 120 employees? Yeah, okay.
220 00:16:48.520 ⇒ 00:16:49.950 Mustafa Raja: Yeah, this is pretty, pretty…
221 00:16:49.950 ⇒ 00:16:50.809 Samuel Roberts: It’s on Owler, though.
222 00:16:50.810 ⇒ 00:16:51.130 Mustafa Raja: them.
223 00:16:51.130 ⇒ 00:16:52.310 Samuel Roberts: Okay.
224 00:16:53.610 ⇒ 00:16:54.320 Samuel Roberts: Huh.
225 00:16:54.320 ⇒ 00:17:01.059 Mustafa Raja: Yeah, Owler says 110, and this says… oh, Audler and Perplexity, I…
226 00:17:03.270 ⇒ 00:17:10.549 Samuel Roberts: That’s funny, because on the… on Owler’s site, looking at… CSPI, it says 120 employees.
227 00:17:11.240 ⇒ 00:17:12.430 Mustafa Raja: the API.
228 00:17:12.430 ⇒ 00:17:14.360 Samuel Roberts: I wonder why that’s different there.
229 00:17:18.839 ⇒ 00:17:26.180 Samuel Roberts: Huh, I wonder why that is. Alright, well, okay, then maybe we’re not as off as I thought, but the startup is where we might want to,
230 00:17:28.740 ⇒ 00:17:31.030 Samuel Roberts: Rearr some of this, but that’s okay for now.
231 00:17:31.610 ⇒ 00:17:33.840 Mustafa Raja: What do we think about revenue, though?
232 00:17:34.250 ⇒ 00:17:38.589 Mustafa Raja: Is… does this look good, or does this look fishy?
233 00:17:39.540 ⇒ 00:17:41.830 Samuel Roberts: That revenue seems good, $57 million?
234 00:17:42.550 ⇒ 00:17:46.649 Mustafa Raja: Based on their financial thing here, it said they made $15 million in…
235 00:17:46.700 ⇒ 00:17:48.310 Samuel Roberts: The third quarter?
236 00:17:48.310 ⇒ 00:17:52.360 Mustafa Raja: Oh, I thought that they made 15 million in the whole year.
237 00:17:52.360 ⇒ 00:17:54.130 Samuel Roberts: No, no, that was just a quarter.
238 00:17:54.310 ⇒ 00:17:55.950 Mustafa Raja: Okay, okay, yeah, this looks good, Dash.
239 00:17:55.950 ⇒ 00:18:01.089 Samuel Roberts: So that puts me at, like, 61? Yeah. Okay, so I think that’s fine then. Okay, better, I feel better. Okay, good, good, good.
240 00:18:02.910 ⇒ 00:18:04.629 Samuel Roberts: Okay, nevermind then, I think we’re good.
241 00:18:05.420 ⇒ 00:18:06.710 Mustafa Raja: Okay, okay.
242 00:18:08.000 ⇒ 00:18:14.439 Mustafa Raja: Yeah, I guess then… hmm, so we tested this act with the actual show one company then, right?
243 00:18:14.590 ⇒ 00:18:16.010 Samuel Roberts: Yeah, we might want to fill those in.
244 00:18:16.010 ⇒ 00:18:23.840 Mustafa Raja: point, but… Yeah… Yeah, Aula feels… and what about this, though?
245 00:18:24.460 ⇒ 00:18:26.210 Samuel Roberts: Yeah, that’s right. Yeah.
246 00:18:26.970 ⇒ 00:18:27.980 Samuel Roberts: Their website says it.
247 00:18:27.980 ⇒ 00:18:28.740 Mustafa Raja: I hope…
248 00:18:29.790 ⇒ 00:18:35.230 Samuel Roberts: That’s a… they’re not a… I think we’re classifying… They’re definitely not a startup.
249 00:18:36.990 ⇒ 00:18:40.669 Samuel Roberts: So we might need to rearrange some of those categories.
250 00:18:40.940 ⇒ 00:18:42.210 Samuel Roberts: by lake.
251 00:18:43.100 ⇒ 00:18:53.359 Samuel Roberts: revenue public… like, if they’re public or not, you know, like, which are the ones that failed? Let’s find… let’s find one that’s failed or private or something.
252 00:18:53.610 ⇒ 00:18:56.420 Mustafa Raja: This one failed.
253 00:18:56.590 ⇒ 00:18:59.210 Samuel Roberts: Link Home Holdings.
254 00:19:04.930 ⇒ 00:19:08.150 Samuel Roberts: Link is a… they have a… yeah, they’re public.
255 00:19:09.260 ⇒ 00:19:10.320 Mustafa Raja: Yeah.
256 00:19:10.320 ⇒ 00:19:10.780 Samuel Roberts: July.
257 00:19:10.780 ⇒ 00:19:11.630 Mustafa Raja: My opinion.
258 00:19:11.990 ⇒ 00:19:13.869 Mustafa Raja: Oh, no, no, 7 million, sorry.
259 00:19:15.700 ⇒ 00:19:17.790 Samuel Roberts: It says they went public in July.
260 00:19:20.820 ⇒ 00:19:24.570 Samuel Roberts: Property purchases, and okay, yeah, they’re definitely… they definitely…
261 00:19:24.990 ⇒ 00:19:29.499 Samuel Roberts: I mean, they’re kind of a startup, then if they’re… I don’t know when they were founded, I’m still trying to find that now, but…
262 00:19:30.490 ⇒ 00:19:36.079 Samuel Roberts: Founded in 2021, but they’ve gone public, so I wouldn’t consider them. I don’t know.
263 00:19:36.550 ⇒ 00:19:41.949 Samuel Roberts: Not sure. But yeah, that’s okay, but that one has… okay, that one has nothing. I wonder why that erred.
264 00:19:42.260 ⇒ 00:19:43.529 Samuel Roberts: Let me look up Alan.
265 00:19:43.530 ⇒ 00:19:47.350 Mustafa Raja: Oh, that I read because, they don’t have that.
266 00:19:47.820 ⇒ 00:19:49.530 Samuel Roberts: That’s why I was just gonna check their website.
267 00:19:50.480 ⇒ 00:19:52.260 Mustafa Raja: Oh, Aula has that in their website.
268 00:19:52.560 ⇒ 00:19:58.570 Samuel Roberts: I’m checking now. Oh, okay, okay. I don’t see it. No, I saw the other one on Aller, I don’t see Link Home Holdings.
269 00:19:58.960 ⇒ 00:19:59.490 Mustafa Raja: Yay.
270 00:19:59.490 ⇒ 00:20:07.060 Samuel Roberts: But, so we can backfill that and… or we’ll know, like, we have a little bit of information there now we can find online. What was one of the private ones that was a startup?
271 00:20:09.520 ⇒ 00:20:13.089 Samuel Roberts: Yeah, like, this 2010 one, maybe? Yeah, what is that one?
272 00:20:14.230 ⇒ 00:20:17.000 Mustafa Raja: oh, wait.
273 00:20:17.720 ⇒ 00:20:20.889 Mustafa Raja: This one, 33… Oh, it is…
274 00:20:20.890 ⇒ 00:20:22.440 Samuel Roberts: Resolute Holdings.
275 00:20:22.440 ⇒ 00:20:25.430 Mustafa Raja: Yam… Management, Inc.
276 00:20:28.080 ⇒ 00:20:29.460 Samuel Roberts: Hmm, okay, here we go.
277 00:20:30.710 ⇒ 00:20:33.060 Samuel Roberts: Yeah, they’re… They’re public.
278 00:20:37.060 ⇒ 00:20:40.750 Mustafa Raja: Yes, oh, so company type is public, hmm…
279 00:20:41.520 ⇒ 00:20:43.019 Samuel Roberts: How do you know, though?
280 00:20:43.020 ⇒ 00:20:44.400 Mustafa Raja: Public or… or not?
281 00:20:44.400 ⇒ 00:20:48.000 Samuel Roberts: I just found their stock exchange listing.
282 00:20:48.460 ⇒ 00:20:51.769 Mustafa Raja: Okay, so anyone in the stock, would.
283 00:20:51.770 ⇒ 00:20:55.320 Samuel Roberts: Anyone that has a stock listing should be public, yeah, if they have a symbol.
284 00:20:55.790 ⇒ 00:20:56.340 Mustafa Raja: Okay.
285 00:20:56.340 ⇒ 00:21:03.459 Samuel Roberts: You’ll be able to, like, search that symbol and find, like, pages that have, like, all their stock data and maybe investor stuff, but…
286 00:21:04.090 ⇒ 00:21:06.610 Mustafa Raja: Let me go to Owler and see what it says there.
287 00:21:08.520 ⇒ 00:21:11.060 Samuel Roberts: Resolute Group? That’s not what I’m looking for.
288 00:21:12.730 ⇒ 00:21:18.170 Samuel Roberts: I’m gonna just go straight to Owler, and is there a place to… was there a link for that one, to Owler, if you go to its data?
289 00:21:18.170 ⇒ 00:21:20.159 Mustafa Raja: Yeah… oh.
290 00:21:20.160 ⇒ 00:21:22.769 Samuel Roberts: No, no, no, yeah, I think they provide, like.
291 00:21:23.510 ⇒ 00:21:26.360 Samuel Roberts: Resolute Company Profile, that one, I think.
292 00:21:26.360 ⇒ 00:21:28.550 Mustafa Raja: Oh yeah, company profile.
293 00:21:30.200 ⇒ 00:21:37.420 Samuel Roberts: Resolute… okay, that’s right. They don’t have that. It says they’re found in 2010, that’s right. Okay, they clearly don’t have the revenue and stuff.
294 00:21:38.100 ⇒ 00:21:42.489 Samuel Roberts: And they don’t even have the fact that they’re public. Okay, so yeah, Allie’s definitely got some…
295 00:21:42.810 ⇒ 00:21:45.560 Samuel Roberts: Some issues with some of this stuff, but let’s… okay.
296 00:21:45.730 ⇒ 00:21:47.389 Samuel Roberts: We’ll figure more of that out as we…
297 00:21:47.390 ⇒ 00:21:50.580 Mustafa Raja: Yeah, the issues would be with,
298 00:21:52.770 ⇒ 00:21:58.949 Mustafa Raja: Yeah, they don’t have the revenue and all. Yeah, I think the missing fields that we have are only with the…
299 00:21:59.090 ⇒ 00:22:01.250 Mustafa Raja: Startups, not with the other ones.
300 00:22:01.580 ⇒ 00:22:07.700 Samuel Roberts: Yeah, so I think it’s companies that have low employee count, even if they’re public.
301 00:22:07.860 ⇒ 00:22:15.700 Mustafa Raja: Yeah, the data actually is crowdsourced, so that might be one reason that they are not very familiar with the startups.
302 00:22:16.040 ⇒ 00:22:40.730 Samuel Roberts: Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be.
303 00:22:40.730 ⇒ 00:23:00.860 Samuel Roberts: Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be. Yeah, that could be.