Meeting Title: Uttam <> Abigail-Weekly Date: 2024-08-20 Meeting participants: Abigail Zhao, Uttam Kumaran
WEBVTT
1 00:00:46.660 ⇒ 00:00:47.560 Uttam Kumaran: Hey? How’s it going.
2 00:00:47.560 ⇒ 00:00:49.919 Abigail Zhao: Hey? I’m good. How are you?
3 00:00:50.130 ⇒ 00:00:50.940 Uttam Kumaran: Good
4 00:00:51.050 ⇒ 00:00:53.979 Uttam Kumaran: just trying to do some work outside for a bit.
5 00:00:55.720 ⇒ 00:00:58.489 Uttam Kumaran: How’s what’d you think of the the meeting this morning?
6 00:00:59.140 ⇒ 00:01:05.519 Abigail Zhao: It was good. It was really helpful. I feel like I learned a lot. It was definitely like a lot of stuff all at once, too. But I think
7 00:01:05.890 ⇒ 00:01:14.919 Abigail Zhao: like you said like those meeting. Those will definitely be really helpful and like just the figma in general, like, I’m just gonna take some time to like. Look through all that stuff, too. But yeah.
8 00:01:14.920 ⇒ 00:01:24.020 Uttam Kumaran: Cool. Yeah, I think it’s a little bit like it’s not like super intuitive. If you’re just like this is your 1st time kind of thinking about sales. But otherwise it’s just a process
9 00:01:24.100 ⇒ 00:01:36.169 Uttam Kumaran: like we just have different relationships between things. And I think basically, we’ll get to the point where, like, we’re each working on like a different part of the workflow. And then those meetings will be more like demos and like, kind of collaboration. So
10 00:01:37.830 ⇒ 00:01:44.609 Uttam Kumaran: yeah. And I guess you know these meetings. I just wanted to kind of, I just have like one on ones with everybody every week, basically
11 00:01:44.680 ⇒ 00:02:03.060 Uttam Kumaran: trying to just carve out time. That is just time. If you have any questions or anything that I can clear up or basically like any feedback about how things are going. I know it’s the 1st week, so you might not have a ton. But I know you’ve been taking a look at notion, and anything so anything I can
12 00:02:03.090 ⇒ 00:02:06.379 Uttam Kumaran: answer or clear up. Let me know.
13 00:02:06.750 ⇒ 00:02:14.800 Abigail Zhao: Okay. Yeah, I did. Just. I’ve been like looking through all the like. Things like the Apollo
14 00:02:14.890 ⇒ 00:02:21.789 Abigail Zhao: instantly. Like all that stuff. I’ve mostly just been like watching Demos for it, because at the moment there’s like.
15 00:02:22.020 ⇒ 00:02:42.440 Abigail Zhao: not that much I could do like, anyway, because, like I also don’t want to like accidentally, send like a hundred emails or something. So yeah, I’ve mainly just been watching Demos and like, kind of going through it. I guess my main question, though, was, what exactly are we using Hubspot for? Cause? That one I’m just like, not as like familiar with.
16 00:02:42.630 ⇒ 00:02:49.369 Uttam Kumaran: Yeah. So Hubspot is basically going to be used as the area to hold all the people that we’ve contacted.
17 00:02:49.872 ⇒ 00:02:55.307 Uttam Kumaran: And so the reason why there’s the reason why there’s a couple of tools is
18 00:02:55.770 ⇒ 00:02:58.659 Uttam Kumaran: Hubspot is going to kind of be the home for
19 00:02:58.700 ⇒ 00:03:12.029 Uttam Kumaran: any sort of contact that we have, whether that’s someone that we’ve emailed. We’ve texted some people on our network. And then Hubspot will actually hold the information about when’s the last time we contacted them. And and what stage of the pipeline they’re on?
20 00:03:12.412 ⇒ 00:03:14.950 Uttam Kumaran: Apollo is going to host information about
21 00:03:15.150 ⇒ 00:03:41.319 Uttam Kumaran: getting new people into that list, and then instantly is gonna host emailing the people from that list. So you could think of like somewhere, how like Github is like our code base. So all the code is centralized. Notion is like our central place for any sort of like writing. Hubspot will be the central place for any sort of contact. So how? How do we know them? How are they related to brainforce? Have we emailed them before? What do we email them with will all be kind of centralized there.
22 00:03:42.680 ⇒ 00:03:49.810 Uttam Kumaran: and it’s typically described as like a like a Crm, you know. So that’ll be the the main
23 00:03:49.920 ⇒ 00:03:52.090 Uttam Kumaran: kind of thing we use that for.
24 00:03:52.910 ⇒ 00:03:59.180 Abigail Zhao: Okay. Okay. Yeah. I mean, that was, honestly, I was all I was curious about, obviously like I,
25 00:03:59.540 ⇒ 00:04:09.430 Abigail Zhao: and just still like introducing myself to these new like sites or whatever. So I don’t have anything like super specific right now. But yeah.
26 00:04:09.660 ⇒ 00:04:14.890 Uttam Kumaran: Yeah. Maybe the one thing is, I just slacked you. A link to Onepa password. I want to get you an.
27 00:04:14.890 ⇒ 00:04:15.390 Abigail Zhao: Oh, okay.
28 00:04:15.390 ⇒ 00:04:17.025 Uttam Kumaran: Kind of what I mentioned this morning is
29 00:04:17.339 ⇒ 00:04:25.479 Uttam Kumaran: we’re just gonna split my login so that I don’t have to pay like a bunch more so if you just want to go through that link and install one password.
30 00:04:25.650 ⇒ 00:04:26.456 Abigail Zhao: And then
31 00:04:26.860 ⇒ 00:04:29.799 Uttam Kumaran: Just want to do that. Now I’ll make sure you get into the sales.
32 00:04:30.340 ⇒ 00:04:30.660 Abigail Zhao: Okay.
33 00:04:30.660 ⇒ 00:04:32.476 Uttam Kumaran: Basically where you’ll see
34 00:04:33.180 ⇒ 00:04:35.280 Uttam Kumaran: you’ll see like our credentials for
35 00:04:35.310 ⇒ 00:04:36.390 Uttam Kumaran: for everything.
36 00:04:38.110 ⇒ 00:04:40.341 Uttam Kumaran: And then I also invited you to
37 00:04:40.840 ⇒ 00:04:42.490 Uttam Kumaran: Hubspot as well.
38 00:04:43.406 ⇒ 00:04:46.099 Abigail Zhao: Yeah, I I got that before, I think.
39 00:04:48.640 ⇒ 00:04:49.390 Abigail Zhao: okay.
40 00:05:39.070 ⇒ 00:05:41.170 Uttam Kumaran: Okay, let me just confirm.
41 00:05:42.070 ⇒ 00:05:43.709 Uttam Kumaran: Okay, you should be good.
42 00:05:46.090 ⇒ 00:05:46.710 Abigail Zhao: Okay.
43 00:05:55.920 ⇒ 00:05:58.089 Abigail Zhao: okay. I think
44 00:05:58.830 ⇒ 00:06:00.169 Abigail Zhao: I should be
45 00:06:01.020 ⇒ 00:06:02.120 Abigail Zhao: set up.
46 00:06:02.420 ⇒ 00:06:04.717 Uttam Kumaran: So basically, we’re using this for
47 00:06:05.460 ⇒ 00:06:10.109 Uttam Kumaran: like password management, you should see a vault called like Brainforge sales
48 00:06:10.832 ⇒ 00:06:13.147 Uttam Kumaran: and within there you’ll see?
49 00:06:14.265 ⇒ 00:06:17.314 Uttam Kumaran: Basically, you’ll see the Apollo password and
50 00:06:18.780 ⇒ 00:06:20.590 Uttam Kumaran: probably a couple more things.
51 00:06:22.420 ⇒ 00:06:23.230 Abigail Zhao: yeah.
52 00:06:23.770 ⇒ 00:06:25.460 Abigail Zhao: okay, yeah, I got it. I’m in.
53 00:06:25.970 ⇒ 00:06:28.960 Uttam Kumaran: Okay, cool. So you should be able to use that
54 00:06:29.500 ⇒ 00:06:31.119 Uttam Kumaran: I’m just gonna make sure there’s
55 00:06:31.170 ⇒ 00:06:33.030 Uttam Kumaran: nothing else that is being
56 00:06:47.430 ⇒ 00:06:50.484 Uttam Kumaran: okay. I just double check that you can log in
57 00:08:09.290 ⇒ 00:08:10.110 Uttam Kumaran: s.
58 00:08:10.967 ⇒ 00:08:12.550 Abigail Zhao: Okay, I am.
59 00:08:12.660 ⇒ 00:08:15.489 Abigail Zhao: for some reason, having some trouble logging in
60 00:08:17.063 ⇒ 00:08:18.279 Uttam Kumaran: What’s it telling you.
61 00:08:19.360 ⇒ 00:08:24.289 Abigail Zhao: It’s just saying, like, in incorrect email, address, password combinations, incorrect.
62 00:08:28.670 ⇒ 00:08:30.020 Abigail Zhao: And material
63 00:08:30.120 ⇒ 00:08:31.739 Abigail Zhao: me try a different
64 00:08:34.270 ⇒ 00:08:34.840 Abigail Zhao: well.
65 00:08:34.840 ⇒ 00:08:37.140 Uttam Kumaran: Don’t use yours. Did you use my like? You tell me.
66 00:08:37.140 ⇒ 00:08:40.489 Abigail Zhao: Yeah, yeah, like your your email. And like all that stuff.
67 00:08:41.919 ⇒ 00:08:42.960 Abigail Zhao: This one. Okay.
68 00:08:51.080 ⇒ 00:08:53.530 Uttam Kumaran: Okay, I can log out and try mine again.
69 00:09:00.560 ⇒ 00:09:08.710 Abigail Zhao: Okay, yeah. I just heard it, for instantly, and it worked. But I the when I tried logging to Apollo it was saying, it’s incorrect.
70 00:09:11.810 ⇒ 00:09:13.650 Uttam Kumaran: I just logged into a poll, and it worked.
71 00:09:13.830 ⇒ 00:09:16.020 Uttam Kumaran: So try one more time.
72 00:09:16.260 ⇒ 00:09:17.015 Abigail Zhao: Okay.
73 00:09:42.910 ⇒ 00:09:44.100 Uttam Kumaran: Survivable
74 00:09:44.460 ⇒ 00:09:45.190 Uttam Kumaran: city
75 00:09:51.450 ⇒ 00:09:53.040 Uttam Kumaran: should not see.
76 00:09:53.840 ⇒ 00:09:55.830 Abigail Zhao: Oh, okay, yeah. Now it worked.
77 00:09:55.860 ⇒ 00:09:59.329 Abigail Zhao: I don’t know why that was working for. But yeah, okay, I’m good now.
78 00:10:01.650 ⇒ 00:10:02.350 Uttam Kumaran: It’s okay.
79 00:10:04.680 ⇒ 00:10:17.620 Uttam Kumaran: Okay, cool. Yeah. So play around. And then, yeah, just keep going through the normal kind of like webinars. And just like, get a sense for that. And then, yeah, I’m gonna I need to still get to sending the notes and everything today. So.
80 00:10:18.060 ⇒ 00:10:19.380 Abigail Zhao: Yeah, sounds, good.
81 00:10:19.380 ⇒ 00:10:20.080 Uttam Kumaran: Sorry.
82 00:10:22.800 ⇒ 00:10:24.709 Uttam Kumaran: Okay. Alright. Well, let me know if you need anything else.
83 00:10:24.990 ⇒ 00:10:26.819 Abigail Zhao: Okay. Yeah, thanks. Alright.
84 00:10:27.250 ⇒ 00:10:28.550 Abigail Zhao: Bye. Have a good one.
85 00:10:28.960 ⇒ 00:10:29.600 Uttam Kumaran: Okay.
86 00:10:29.730 ⇒ 00:10:30.520 Uttam Kumaran: Next
87 00:10:34.710 ⇒ 00:10:36.530 Uttam Kumaran: bye. You, too.