Meeting Title: Brainforge x The Chef Agency | Lead Researcher Demo Date: 2025-01-28 Meeting participants: Eva Qirko, Connor Fenn
WEBVTT
1 00:00:18.259 ⇒ 00:00:21.059 Connor Fenn: I’m sorry I accidentally closed it out.
2 00:00:23.380 ⇒ 00:00:23.980 Eva Qirko: That’s my!
3 00:00:24.600 ⇒ 00:00:27.254 Eva Qirko: I do that all the time. Don’t worry about it.
4 00:00:28.010 ⇒ 00:00:32.322 Connor Fenn: I was trying to pull this other platform for you. But go ahead. Keep talking.
5 00:00:32.619 ⇒ 00:00:34.522 Eva Qirko: I was just gonna say I
6 00:00:36.409 ⇒ 00:00:40.269 Eva Qirko: I don’t know if you’ve ever used sales nav on Linkedin before. Have you heard of it?
7 00:00:40.270 ⇒ 00:00:44.130 Connor Fenn: Yeah. Yeah. So that’s I was gonna kinda show you this piece to that.
8 00:00:44.550 ⇒ 00:00:48.209 Eva Qirko: Okay. So I was gonna say, so in the past I’ve created.
9 00:00:48.980 ⇒ 00:00:54.480 Eva Qirko: So we used this 3rd party scraping tool called Wizza. Have you heard of that?
10 00:00:56.060 ⇒ 00:00:56.880 Eva Qirko: No.
11 00:00:56.880 ⇒ 00:01:04.769 Eva Qirko: So basically, Whizza works there integrates with sales nav. So you’re able to build lists.
12 00:01:04.870 ⇒ 00:01:19.109 Eva Qirko: What kind of companies you’re looking for, what kind of you know the titles that you’re looking to target location, etc. I build out those lists and we built it up by. We call it verticals. But it’s like different, like industries. Essentially so like
13 00:01:19.852 ⇒ 00:01:33.280 Eva Qirko: we have one for like hotels and resorts another one for rest, restaurants and independent restaurants, another one for casinos and all that stuff whatever, and then I would use Wizard to scrape those lists essentially.
14 00:01:33.490 ⇒ 00:01:58.470 Eva Qirko: And so that was good at all. But was this not reliable? Because they’re about to like? Go down? It’s like very sketchy, very. I don’t think it’s legal, honestly so we got rid of that. And now I’m using apollo.ai. I don’t know if you’ve heard of that, but it’s like another. Yeah. So we use that. So my point is here is like we can’t scale out Apollo, dot I/O like
15 00:01:59.090 ⇒ 00:02:03.320 Eva Qirko: we can only, and we have 3 accounts, and we pay so much money. I think it’s like
16 00:02:03.830 ⇒ 00:02:16.920 Eva Qirko: almost like 500 something a month for those 3 accounts, plus like the actual account. I’m not really sure it’s pretty expensive. And we can only export 6,000.
17 00:02:17.310 ⇒ 00:02:27.360 Connor Fenn: Yeah, so that that kind of ties into what I was I was gonna mention to you next is, so we essentially create this clay platform. It kind of looks like this.
18 00:02:27.810 ⇒ 00:02:35.179 Connor Fenn: And this, honestly, I don’t. I didn’t want to show you this too too much, because it gets a little confusing and intimidating.
19 00:02:35.180 ⇒ 00:02:38.350 Eva Qirko: I see I see shit like this all the time. So you’re fine.
20 00:02:38.560 ⇒ 00:03:07.860 Connor Fenn: Basically, we build out a platform like this, it’s on clay. And what we do is we actually integrate all of those different services like Apollo sales. Navigator. Some people use like zoom info pitch book. I have real estate people using costar. It all kind of depends on like what you know, providers you want to use, but we actually connect all of those into one platform and run them side by side
21 00:03:07.860 ⇒ 00:03:21.270 Connor Fenn: with all of the criteria that you’re looking for. So instead of just using Apollo and filtering through their database, we’re doing that across like 4, 5, 6 different sources.
22 00:03:21.300 ⇒ 00:03:34.719 Connor Fenn: And then on top of that, using AI to do like filter down exactly what you’re looking for more. And then the next step on top of that is, we integrate this platform called Hey reach
23 00:03:35.252 ⇒ 00:03:44.959 Connor Fenn: which essentially allows you to take those leads. And we create workflows where you would reach out to Linkedin users or email users
24 00:03:45.395 ⇒ 00:04:08.439 Connor Fenn: all autonomously. And so with that portion, we kind of create these workflows where it sends an initial message. Based off that initial message. If they connect, it sends a different message. If they don’t connect, we follow up and like or comment on one of their posts or things like that over, you know, a couple of week period, but it.
25 00:04:08.440 ⇒ 00:04:08.990 Eva Qirko: Right.
26 00:04:08.990 ⇒ 00:04:28.539 Connor Fenn: It also helps with that. That portion that you mentioned earlier with like not being able to reach out to the amount of people that you want to in a certain period of time, because, like Linkedin blocks you right that we come into that. They, after a certain amount of connects. They kind of think you’re spamming people.
27 00:04:29.068 ⇒ 00:04:44.470 Connor Fenn: So with this, it does it at like a gradual rate where you don’t come into that issue because it’s just doing, you know, little engagements here and here. But over that full list of very specific people that you want to target.
28 00:04:44.960 ⇒ 00:04:47.099 Eva Qirko: Have you heard of dripify.
29 00:04:47.400 ⇒ 00:04:48.640 Connor Fenn: I have not. No.
30 00:04:48.890 ⇒ 00:05:01.150 Eva Qirko: So dripify works with Linkedin and it autonomously, automatically. I’m just gonna use my words. It automatically goes
31 00:05:01.150 ⇒ 00:05:19.260 Eva Qirko: and like, you insert like you create a sequence of like a cadence. How you want your outreach to go so like if day one, it sends a connection, if it’s not accepted by day 2, or then you like can like a post to review their profile 3 days later. Then it sends an in mail, so it it
32 00:05:19.260 ⇒ 00:05:36.980 Eva Qirko: drips out like the thing, but it essentially kind of bypasses that like 100 connections of a week somehow, it only like it allows you to do 300. I’m not really sure how. And also it on the website. It’ll tell you 500. But then the demo guy will be like, no, we only allow, like 300.
33 00:05:36.980 ⇒ 00:05:38.579 Eva Qirko: Anyways, I digress.
34 00:05:39.070 ⇒ 00:06:02.240 Connor Fenn: So that sounds a lot reach that. So those are there. There’s a lot of those tools out there. That’s that’s kind of like the nice so Clay is actually a new platform that just recently came out their their service provider. I wanna say, it was either 70 or 700 million. They just got in like a seed funding round. There was a thing we were talking about last week.
35 00:06:02.240 ⇒ 00:06:03.020 Eva Qirko: The loop.
36 00:06:03.360 ⇒ 00:06:05.562 Connor Fenn: Yeah, it’s a big difference. But
37 00:06:06.420 ⇒ 00:06:19.139 Connor Fenn: basically, this platform that we’ve set up for you allows to do all of those so like, even if you were using that one, we could try that out, too, instead of hey reach but it. It just allows you to do
38 00:06:19.410 ⇒ 00:06:27.600 Connor Fenn: all of those different filters simultaneously side by side. So you’re getting a very specific targeted audience.
39 00:06:27.780 ⇒ 00:06:44.080 Eva Qirko: Perfect. I guess this is a stupid question, but if we were to get this, would we still need to keep our like accounts at Apollo accounts that, like W. All those other things, or is are you saying like you do what they all do just.
40 00:06:44.080 ⇒ 00:06:55.577 Connor Fenn: That’s a good question. I don’t know about the Apollo. I’d have to double check, but I would be curious on that, because if we already have it going through ours. I don’t think we would need yours.
41 00:06:55.880 ⇒ 00:07:09.130 Eva Qirko: Because that’s my point. So if I can find like, if this is what it sounded to me is that it? This is a way for us to streamline absolutely all of our different kinds of outreach. So we use this ats like
42 00:07:09.580 ⇒ 00:07:13.140 Eva Qirko: it’s called Job adder and that’s for recruiting.
43 00:07:13.140 ⇒ 00:07:13.660 Connor Fenn: Okay.
44 00:07:13.740 ⇒ 00:07:16.980 Eva Qirko: And so I also. So
45 00:07:17.420 ⇒ 00:07:34.451 Eva Qirko: there we upload all of our candidates. That’s our entire like data pool of candidates. But also we upload our complete data pool of clients. So we call it mining a job adder mining. But essentially, what John and I are doing is we’re emailing
46 00:07:35.330 ⇒ 00:07:49.260 Eva Qirko: people like, okay, for example, there’s 500 people that I select. And then I put them through. We have a cadence. We have like email, one email, 2 email, 3. Then we have a voicemail that I have to make like manually like, send out.
47 00:07:49.380 ⇒ 00:07:52.599 Connor Fenn: Are you continually sending all these emails out too?
48 00:07:54.010 ⇒ 00:08:02.009 Eva Qirko: Okay, so hold on on, Job Adder. We can send out like 500 at a time. We can only send 500 a day on your
49 00:08:02.800 ⇒ 00:08:03.810 Eva Qirko: a lot of people.
50 00:08:03.810 ⇒ 00:08:10.440 Connor Fenn: But even that you’re still. You’re going in and clicking and making making the that send like in in some way.
51 00:08:10.820 ⇒ 00:08:15.639 Eva Qirko: It’ll take me. It’ll take me like 30 min to send to 500 people.
52 00:08:15.640 ⇒ 00:08:16.060 Connor Fenn: Okay.
53 00:08:16.770 ⇒ 00:08:25.100 Eva Qirko: But but I I got a little messed up because, like, you can only send 500 emails a day on like a warmed up like
54 00:08:25.550 ⇒ 00:08:41.449 Eva Qirko: email domain that we have. Otherwise, like, you can get like blocked or something. And everyone else will like argue, saying that you can only send out like 75 emails a day on outlook. So we do like 500 a day. And it’s fine. But
55 00:08:42.400 ⇒ 00:09:04.710 Eva Qirko: our problem is, we want like, I use sales nav. I use Apollo. I use all these different kind of sources, and I download the Csv. And then I take those, and then I upload it on. Import them into Job Adder, and then that’s what we’ll do our outreach. So I’m not like mail merging all the time. We actually used to have this like
56 00:09:06.180 ⇒ 00:09:12.870 Eva Qirko: Turkish man. I don’t know some random like tech guy who created servers for us
57 00:09:13.100 ⇒ 00:09:19.630 Eva Qirko: that like looked like outlook, but wasn’t outlook, and there we were able to send like tens of thousands of emails a day.
58 00:09:20.740 ⇒ 00:09:21.710 Connor Fenn: Dang, okay.
59 00:09:21.710 ⇒ 00:09:27.050 Eva Qirko: And but that’s like that was super expensive, super sketchy.
60 00:09:27.820 ⇒ 00:09:29.760 Connor Fenn: But even that is like
61 00:09:30.200 ⇒ 00:09:47.830 Connor Fenn: I feel like with your business. You don’t necessarily need to send all these emails out. If you just find the right people. And that kind of sounds like that’s what the problem is is, you’re not getting the real exact person that you’re looking for. And that’s why you’re having to send out all these kind of masks.
62 00:09:47.830 ⇒ 00:10:03.859 Eva Qirko: Like we are like cause, we know, like I always. So we strategically hire recruiters that are in the hospitality space. So these people are like food and beverage directors, executive chefs all these things, and I get a lot of insight from them, like I know who like the hiring managers who I need to target
63 00:10:04.080 ⇒ 00:10:30.999 Eva Qirko: as like a client, you know, and like, especially because different hotels and and restaurants have different people. And there’s also like different entities, like if we’re working with like, you know, a peachy or what’s that huge out of Princess like that? They have like a corporate level. And then all these different properties. It’s like we need to know strategically who we need to go after. But the issue with
64 00:10:31.754 ⇒ 00:10:46.219 Eva Qirko: Satan over there is that he? It’s like a numbers game, you know. I forget who said it. I think it was Shane Venice, something about girls in a numbers game, and like every time he talks about it. That’s like what’s in my head like.
65 00:10:46.220 ⇒ 00:10:46.540 Connor Fenn: Yeah.
66 00:10:46.860 ⇒ 00:10:58.150 Eva Qirko: You know what I mean like, he’s like the more like we get like good business work. And it’s for just me and John, like the 2 of us, we have a like
67 00:10:58.600 ⇒ 00:10:59.510 Eva Qirko: art.
68 00:10:59.730 ⇒ 00:11:07.590 Eva Qirko: This, like our business, develop potential like, if all the clients we have gotten signed actually get a placement. We’re up to like 6 mil a year.
69 00:11:07.930 ⇒ 00:11:09.669 Eva Qirko: and that’s just the 2 of us.
70 00:11:10.320 ⇒ 00:11:11.599 Connor Fenn: Wow! That’s good.
71 00:11:13.159 ⇒ 00:11:17.660 Eva Qirko: He does not think so. He does not think so.
72 00:11:18.470 ⇒ 00:11:22.390 Connor Fenn: What is what’s like average for your industry? Are you guys above.
73 00:11:23.400 ⇒ 00:11:26.049 Eva Qirko: Wait. Yeah, we’re like the 3rd largest.
74 00:11:26.150 ⇒ 00:11:32.989 Eva Qirko: And the yeah, it’s crazy because it’s like, we’re a small like startup. But like
75 00:11:34.170 ⇒ 00:11:42.692 Eva Qirko: he has been in this industry for like 30 plus years. And he had this other like. He had this thing called Hospitality House, where he,
76 00:11:43.330 ⇒ 00:11:46.429 Eva Qirko: basically worked with
77 00:11:46.630 ⇒ 00:12:04.100 Eva Qirko: the designers to help build kitchens in like restaurants and hotels and things like that. And so he was like realizing the need for staffing. And that’s when he started this, and like he’s like our top earner like recruiter, they’re all 1099
78 00:12:04.490 ⇒ 00:12:22.240 Eva Qirko: they like. He makes over like $300,000 a year just on fucking like these placements like they like. There’s like, it’s that’s what I’m saying. We have like over 120 recruiters like, we’re a big entity, but like there’s only like 10 to 15 people in corporate who are W. 2.
79 00:12:22.820 ⇒ 00:12:24.010 Eva Qirko: So like.
80 00:12:24.780 ⇒ 00:12:42.149 Eva Qirko: it’s like me. This is the director of corporate operations. Maddie’s the director of talent acquisitions, and like she like, basically leads the entire team of like recruiters. And then Anne Marie’s in finance. And we’re all like under 28 years old.
81 00:12:44.720 ⇒ 00:12:45.370 Eva Qirko: in some.
82 00:12:45.370 ⇒ 00:12:47.394 Connor Fenn: He’s got the sun going.
83 00:12:49.230 ⇒ 00:13:05.510 Eva Qirko: But it’s like he’s always like, we want more. We want more. We want more. And I’m just trying to find a way to cause he’s like wants more, but wants to spend less if that makes sense. So I’m trying to find a way. If we stop all of that other shit. And if what happens if we just use Brainforge, is that a possibility.
84 00:13:05.900 ⇒ 00:13:16.769 Connor Fenn: Yeah. So one, I want to check on what the power licensing, how that works out and see how that works. Second, what you guys, what are you guys like paying? Now? What was his
85 00:13:17.140 ⇒ 00:13:23.489 Connor Fenn: kind of like? You said that the prices you were paying now for your other provider was expensive. Right? What was that.
86 00:13:23.490 ⇒ 00:13:26.919 Eva Qirko: Yeah, that was like $3,400 a month.
87 00:13:27.220 ⇒ 00:13:32.659 Connor Fenn: 34. Okay, okay, I’m gonna be straight. Honest with you. Ours is a little more than that.
88 00:13:33.050 ⇒ 00:13:43.007 Eva Qirko: Yeah, I figured, because look at all the shit you do. I mean, the thing is, if this was my company, my ass would be on this like white on rice like this is like what exactly what we fucking need.
89 00:13:43.440 ⇒ 00:13:45.627 Connor Fenn: I’ll be honest with you. So I
90 00:13:46.270 ⇒ 00:14:12.630 Connor Fenn: I you. It’s funny. Actually, you said the finance thing I had. So I started this job. A month ago I joined on with Utam. He was my friend, and I was like, you know, what dude I like. I think you’re a brilliant guy like, I’m gonna do this with you. And but I was in a financial advisor. I was like a week and a half signed in. And I saw this, for, like the outreach aspect of just the position I was working in, and I told the guy about it.
91 00:14:12.680 ⇒ 00:14:33.159 Connor Fenn: and when I was talking to him. He was like, I’m not gonna let you use that for this business like it’s just we wouldn’t be able to do it like that. And I left because I was like, no like, there’s companies that are gonna be using this stuff for outreach and things like that, where I’m just gonna make more money using things like this. Now, just with the AI advancements, this is the way to go. It just.
92 00:14:33.610 ⇒ 00:14:33.960 Eva Qirko: Well, you got.
93 00:14:33.960 ⇒ 00:14:36.170 Connor Fenn: Spend money to make money, I know.
94 00:14:37.293 ⇒ 00:14:42.520 Connor Fenn: is the problem is, you have to spend money to make money, especially nowadays.
95 00:14:43.730 ⇒ 00:14:44.936 Eva Qirko: It’s just
96 00:14:46.780 ⇒ 00:14:55.579 Eva Qirko: It’s just a little complicated with him. He like my second week working here. I’ve been here for 2 years my second week working here is 5 o’clock. I was ready to pack up.
97 00:14:55.790 ⇒ 00:14:58.390 Eva Qirko: He looks at me. Up and down he goes. What do you do here?
98 00:14:59.175 ⇒ 00:14:59.460 Connor Fenn: Okay.
99 00:14:59.460 ⇒ 00:15:16.020 Eva Qirko: He was like, kind of like, yeah, that was my reaction. Little chuckle. Little like, okay. I was like, well, you know, as director of client like I was like I learned so much like everything. Every day is different. He goes. If you can’t tell me what it is exactly that you fucking do here? Then you can get the fuck out of my office.
100 00:15:16.480 ⇒ 00:15:17.579 Eva Qirko: and I was like.
101 00:15:17.750 ⇒ 00:15:23.620 Eva Qirko: Hello! So I don’t know if you’ve ever watched entourage. But this man is Ari Goldstein.
102 00:15:25.340 ⇒ 00:15:26.400 Eva Qirko: P.
103 00:15:27.070 ⇒ 00:15:33.990 Eva Qirko: Yeah, he’s he’s smart. He’s had. I don’t know if you heard of Surf Lodge in Montauk.
104 00:15:34.960 ⇒ 00:15:35.780 Connor Fenn: I like.
105 00:15:36.420 ⇒ 00:15:42.939 Eva Qirko: It’s like a really like celebrities go there at like fancy, like our friend Anna, who’s like
106 00:15:43.340 ⇒ 00:15:56.050 Eva Qirko: the hottest girl on the planet. I’ll show you her like she had to fucking sneak in to get to these places right. He’s the one of the founders. He’s 1 of the founders of resi.com where you make reservations for fucking.
107 00:15:56.200 ⇒ 00:15:59.780 Eva Qirko: Yeah, like he’s a smart guy, but he’s.
108 00:15:59.780 ⇒ 00:16:05.240 Connor Fenn: Like, you know what I mean. He’s frugal. I I know those guys that makes sense.
109 00:16:05.240 ⇒ 00:16:12.949 Eva Qirko: That’s why I’m like so it it would almost be worth it if I like. Get the finances I have to work with Jim Marie, who’s in accounting. But
110 00:16:13.090 ⇒ 00:16:26.829 Eva Qirko: if you can get back to me on like, Hey, you won’t need all these other platforms if you just use brain forge, and then, if we just streamline everything using Green Forge and get rid of everything else, it almost would be cheaper. Does that make sense.
111 00:16:26.830 ⇒ 00:16:29.300 Connor Fenn: So let me ask you this, if
112 00:16:29.770 ⇒ 00:16:33.880 Connor Fenn: we were to set up this platform with you, how many.
113 00:16:34.500 ⇒ 00:16:38.899 Connor Fenn: I guess users would really need to be on it. So that cause that’s.
114 00:16:38.900 ⇒ 00:16:39.729 Eva Qirko: Nice to meet me.
115 00:16:39.730 ⇒ 00:16:40.730 Connor Fenn: It’s just one.
116 00:16:40.880 ⇒ 00:16:47.340 Connor Fenn: Okay, so that’s a good selling point, too. So like, when we build this out.
117 00:16:47.470 ⇒ 00:17:02.820 Connor Fenn: we can add up to, you know, like 4 or 5. All you have to pay for is like the little like the Linkedin subscription to add ons. So keep that in mind like that will be a additional cell is, if you want more people doing it.
118 00:17:03.230 ⇒ 00:17:03.630 Eva Qirko: Okay.
119 00:17:03.630 ⇒ 00:17:16.900 Connor Fenn: Not much of a cost extra to have extra people on it, so that will be good to know. But yeah, that’s what I’ll do, I will. I’ll put together like a little proposal for you. And see on just
120 00:17:17.030 ⇒ 00:17:21.220 Connor Fenn: what the actual charges would be if we were to integrate different things.
121 00:17:22.319 ⇒ 00:17:27.749 Eva Qirko: I don’t want to spin your wheels too much on it. But if this would be really helpful if you could just
122 00:17:28.250 ⇒ 00:17:29.380 Eva Qirko: Java.
123 00:17:29.680 ⇒ 00:17:32.989 Connor Fenn: Apollo, what else do you guys use right now?
124 00:17:34.938 ⇒ 00:17:44.799 Eva Qirko: Wait before I tell you any of that. Have you ever heard of a company called aggressive, aggressive? It’s like it’s egress EGRE. SS, and then IF.
125 00:17:44.970 ⇒ 00:17:45.550 Connor Fenn: No.
126 00:17:46.420 ⇒ 00:17:48.920 Eva Qirko: If you want to look at
127 00:17:49.658 ⇒ 00:17:54.279 Eva Qirko: I just I don’t know if they I don’t know, because what I’m hearing is like.
128 00:17:54.470 ⇒ 00:18:10.930 Eva Qirko: you guys do a similar thing, but it’s kind of different, and I just don’t know if there was any similarities with cause. I understand how they work, but I’m trying to think like, would this be like all AI in the background? Or would this be like someone actually, actively like on top of the shit?
129 00:18:10.930 ⇒ 00:18:25.199 Connor Fenn: Oh, so we have a full team that works with you. So we keep that in mind. We’re not like all of our engineers and things like that. They are a part of Brainforge. We are a Us. Based company. You’re not getting like for people on the background.
130 00:18:25.615 ⇒ 00:18:33.589 Connor Fenn: And no, we have a team that’s gonna be with you. You’ll have somebody that’s gonna be helping you put together the campaigns. So that kind of.
131 00:18:33.590 ⇒ 00:18:34.530 Eva Qirko: Great.
132 00:18:34.530 ⇒ 00:18:48.120 Connor Fenn: The the pricing with things. It’s not like a 1 time fee we do a monthly kind of subscription model. And then through that you get someone that’s gonna help you build each of those out.
133 00:18:48.120 ⇒ 00:18:55.950 Eva Qirko: And is that separate from like just having, like cut like the workspace.
134 00:18:57.788 ⇒ 00:19:24.229 Connor Fenn: No, that’s all together. So that’s all. Together with the with the fee you’re getting the clay build out. And then on top of that. You’re that’s where the monthly kind of fee comes in is you’re getting that initial or I should say that ongoing like build outs of different campaigns as you want to adjust them. So you know, maybe you want a specific 100 people for this certain lead you? You know you can
135 00:19:24.590 ⇒ 00:19:28.219 Connor Fenn: week. And then next week we can change it up and do something different.
136 00:19:28.630 ⇒ 00:19:38.819 Eva Qirko: Yeah. Like. So, for example, like our boss, like, he’ll see something that’s working, and he’ll be like, alright like, let’s double down on that like, you know what I mean like. So if, like, we have, you know.
137 00:19:39.120 ⇒ 00:19:54.369 Eva Qirko: Casinos, and like vague and like Phoenix, or whatever that are like working out really? Well, I can be like, all right, let’s like we want to send show some more love there. Or we need like to give our recruiter because we basically feed the recruiters jobs right? Like we.
138 00:19:54.680 ⇒ 00:20:00.120 Eva Qirko: the recruiters find the candidates. But we give the recruiters the jobs to search for.
139 00:20:00.240 ⇒ 00:20:01.600 Eva Qirko: And so
140 00:20:01.940 ⇒ 00:20:06.990 Eva Qirko: if we need to like, give, like a certain region like more left, because our recruiters are all.
141 00:20:06.990 ⇒ 00:20:07.390 Connor Fenn: Probably not.
142 00:20:07.390 ⇒ 00:20:10.852 Eva Qirko: So if, like, you know, our
143 00:20:11.990 ⇒ 00:20:17.099 Eva Qirko: California market isn’t doing so well like we could do more like in California. That’s.
144 00:20:17.440 ⇒ 00:20:23.399 Connor Fenn: We can. We can spread it out to any geographical area you want pretty easy. That’s like.
145 00:20:23.400 ⇒ 00:20:23.870 Eva Qirko: Way.
146 00:20:23.870 ⇒ 00:20:26.760 Connor Fenn: This stuff. So be good for that.
147 00:20:27.257 ⇒ 00:20:30.239 Eva Qirko: I’m late for my other meeting.
148 00:20:30.240 ⇒ 00:20:30.820 Connor Fenn: Oh, you’re good!
149 00:20:30.820 ⇒ 00:20:31.250 Eva Qirko: But.
150 00:20:31.250 ⇒ 00:20:31.760 Connor Fenn: Again.
151 00:20:31.760 ⇒ 00:20:32.514 Eva Qirko: But
152 00:20:33.890 ⇒ 00:20:37.299 Eva Qirko: If I have any more questions, can I get your email.
153 00:20:37.570 ⇒ 00:20:43.320 Connor Fenn: Yeah, it’s connor.m@brainforge.ai.
154 00:20:44.780 ⇒ 00:20:46.510 Connor Fenn: You should have it in the.
155 00:20:46.510 ⇒ 00:20:50.600 Eva Qirko: Oh, my God! The calendar! Invite! Sorry I have a brain fart.
156 00:20:51.090 ⇒ 00:20:51.680 Eva Qirko: Yeah.
157 00:20:52.060 ⇒ 00:21:02.449 Eva Qirko: okay, yeah. I’m possibly just gonna ask you some more questions. He doesn’t even know I’m like talking to you about this. But he’s always like. Figure it out. Figure it out like.
158 00:21:03.030 ⇒ 00:21:03.390 Connor Fenn: Yeah.
159 00:21:03.390 ⇒ 00:21:09.970 Eva Qirko: Find more ways. So like this is my like internal research. I kind of want to have everything
160 00:21:10.340 ⇒ 00:21:16.180 Eva Qirko: in presentable form for him when I do eventually bring this up.
161 00:21:16.180 ⇒ 00:21:19.600 Connor Fenn: Get those answers to you by the end of the day I’ll send you
162 00:21:19.970 ⇒ 00:21:26.370 Connor Fenn: just a quick like one pager of like what we kind of talked about, and then you can let me know and go from there.
163 00:21:26.920 ⇒ 00:21:30.410 Eva Qirko: You’re the best. Thank you so much. I really appreciate you reaching out to me.
164 00:21:30.410 ⇒ 00:21:31.970 Connor Fenn: Yeah, you’re welcome. I’ll see ya.
165 00:21:32.120 ⇒ 00:21:34.439 Eva Qirko: Alright, I’ll see. Talk to you soon. Bye.