Meeting Title: Brainforge Data Sync and Linear Overview Date: 2026-03-19 Meeting participants: Amber Lin, Advait Nandakumar Menon
WEBVTT
1 00:00:35.960 ⇒ 00:00:36.960 Advait Nandakumar Menon: Hello.
2 00:00:40.050 ⇒ 00:00:40.790 Amber Lin: Hi.
3 00:00:42.010 ⇒ 00:00:42.630 Advait Nandakumar Menon: Hey!
4 00:00:43.110 ⇒ 00:00:50.140 Amber Lin: Let me, once… Back…
5 00:00:59.740 ⇒ 00:01:07.270 Amber Lin: So, I think we’re almost done with the request, so I’m just cleaning it up, and I’m trying to figure out how to…
6 00:01:08.040 ⇒ 00:01:22.890 Amber Lin: farce a JSON… JSON file. So, anyways, here… here I am. And I’ve been able to find the Shopify orders and figure out what the fields and what the…
7 00:01:22.890 ⇒ 00:01:23.550 Advait Nandakumar Menon: Yeah.
8 00:01:23.550 ⇒ 00:01:25.460 Amber Lin: That we needed from the rock table.
9 00:01:26.090 ⇒ 00:01:30.839 Advait Nandakumar Menon: Yeah, I was just looking at the, conversation with Utam you were having.
10 00:01:31.100 ⇒ 00:01:31.750 Amber Lin: Yeah.
11 00:01:33.020 ⇒ 00:01:42.380 Amber Lin: So… now I’m trying just to clean it up, to give them, like, a… A nicer… yeah, a nicer…
12 00:01:43.970 ⇒ 00:01:51.370 Amber Lin: nicer view, essentially. So we have the data, I just need to make sure it looks nicer for the screenshot. So…
13 00:01:51.930 ⇒ 00:01:58.990 Amber Lin: Okay. That is mine… There you go, my G…
14 00:02:00.140 ⇒ 00:02:07.320 Advait Nandakumar Menon: So, this hasn’t been, like, it’s ingested and it’s just existing in the raw format, is it? Like, you…
15 00:02:07.500 ⇒ 00:02:10.670 Advait Nandakumar Menon: There hasn’t been, like, any transformations done yet.
16 00:02:11.570 ⇒ 00:02:19.859 Amber Lin: No. Nope, this is the raw data, so we haven’t looked at this particular attribute.
17 00:02:20.010 ⇒ 00:02:29.339 Amber Lin: So, like… This is, yeah, this… to answer your question, yes, this is in the raw table.
18 00:02:30.100 ⇒ 00:02:30.780 Advait Nandakumar Menon: Okay.
19 00:02:40.100 ⇒ 00:02:43.949 Amber Lin: Okay, I’ve… I don’t know what this one is doing.
20 00:02:44.590 ⇒ 00:02:46.149 Amber Lin: Okay, there we go.
21 00:03:26.860 ⇒ 00:03:28.350 Amber Lin: I’m so silly.
22 00:03:28.640 ⇒ 00:03:35.589 Amber Lin: Anyways, like, this is… This is what… we’re doing, so I’m…
23 00:03:35.840 ⇒ 00:03:39.839 Amber Lin: Just going to copy this over.
24 00:03:40.020 ⇒ 00:03:42.899 Amber Lin: And see… what do we have…
25 00:03:43.950 ⇒ 00:03:48.249 Advait Nandakumar Menon: Yeah, the attribute key wasn’t being selected from the inner query before, that’s…
26 00:03:48.250 ⇒ 00:03:52.110 Amber Lin: Yeah, makes sense, makes sense, my bad.
27 00:03:52.760 ⇒ 00:03:57.670 Amber Lin: As you can see, I’m not spending too much time on my SQL.
28 00:03:58.170 ⇒ 00:04:04.870 Advait Nandakumar Menon: I mean, I get that, like… It’s not a big Bye, Paul.
29 00:04:21.320 ⇒ 00:04:27.900 Amber Lin: Cool. Anyways, I think this is mostly it. Just to show you what it’s like, I’m gonna figure out,
30 00:04:28.700 ⇒ 00:04:37.180 Amber Lin: Biz… like… This query, and then I think this task will be done.
31 00:04:38.190 ⇒ 00:04:38.950 Advait Nandakumar Menon: Okay.
32 00:04:39.860 ⇒ 00:04:43.820 Amber Lin: Yeah. Custom attributes… Worth.
33 00:04:55.390 ⇒ 00:05:01.270 Advait Nandakumar Menon: So, why… Do you not use Cursor for this, and using ChatGPT?
34 00:05:01.270 ⇒ 00:05:05.599 Amber Lin: Because I haven’t connected Snowflake to cursor…
35 00:05:06.270 ⇒ 00:05:15.740 Amber Lin: Okay. And, like, this is just a quick query. This took me, like… 20-ish minutes…
36 00:05:16.170 ⇒ 00:05:19.700 Amber Lin: Alright, yeah, this is… this is what I need to give them.
37 00:05:22.720 ⇒ 00:05:24.540 Advait Nandakumar Menon: This looks… yeah, this looks good.
38 00:05:24.960 ⇒ 00:05:31.130 Amber Lin: Yeah, SKU… Order ID… Yeah.
39 00:05:31.280 ⇒ 00:05:32.110 Amber Lin: Alright.
40 00:05:32.460 ⇒ 00:05:35.430 Amber Lin: This is good. Just making a screenshot now.
41 00:05:51.170 ⇒ 00:05:56.420 Amber Lin: Okay. Have you been able to explore Krisher and all that?
42 00:05:57.350 ⇒ 00:06:12.259 Advait Nandakumar Menon: Yeah, so after the call with you, I haven’t been able to explore the Omni and the Spreadsheet and Snowflake yet. I just got access from Rayco to the OnePass for this client.
43 00:06:12.470 ⇒ 00:06:20.200 Advait Nandakumar Menon: So, that’s done, and for Cursor and GitHub, so update from yesterday, Ricoh was able to just
44 00:06:20.470 ⇒ 00:06:26.460 Advait Nandakumar Menon: sent me an invite to my personal account, and I was able to join, from that.
45 00:06:26.770 ⇒ 00:06:36.590 Advait Nandakumar Menon: Awesome. So, cursor is set up, GitHub is also set up, I was able to clone the BrainForge platform repository to my local.
46 00:06:38.070 ⇒ 00:06:44.080 Advait Nandakumar Menon: So, I am able to access that, but I’m not able to see the MCPs in cursor, so…
47 00:06:44.340 ⇒ 00:06:49.559 Amber Lin: Oh, have you… you’ve added the Brainforge platform repo, right?
48 00:06:50.100 ⇒ 00:06:51.020 Advait Nandakumar Menon: Yeah.
49 00:06:51.380 ⇒ 00:06:55.909 Amber Lin: Okay, can you share screen and show me what it looks like, and we can check?
50 00:06:56.610 ⇒ 00:06:57.250 Advait Nandakumar Menon: Sure.
51 00:07:44.510 ⇒ 00:07:45.260 Amber Lin: Alright.
52 00:07:52.390 ⇒ 00:07:58.029 Amber Lin: Okay, so… can you go to Cursor settings?
53 00:07:58.830 ⇒ 00:08:04.450 Amber Lin: So, up here… Up here, and then go to… yeah, that works too.
54 00:08:04.760 ⇒ 00:08:09.940 Amber Lin: So tools and MCPs, click that. Yeah, can you enable these?
55 00:08:11.650 ⇒ 00:08:21.759 Amber Lin: I think that would be the main issue. So if you have, I think mainly Brainforge, Google, and then maybe Slack and Linear, those would be the main ones.
56 00:08:22.560 ⇒ 00:08:23.130 Advait Nandakumar Menon: Okay.
57 00:08:26.090 ⇒ 00:08:29.049 Advait Nandakumar Menon: And I can just connect it to my account, right?
58 00:08:29.050 ⇒ 00:08:32.019 Amber Lin: Yeah, just log in and they will connect.
59 00:09:05.670 ⇒ 00:09:06.350 Advait Nandakumar Menon: Okay.
60 00:09:09.760 ⇒ 00:09:19.689 Advait Nandakumar Menon: Yeah, so I was able to clone the Inforge platform, but I haven’t got Element yet, so that’s the next thing I will do, so…
61 00:09:20.020 ⇒ 00:09:29.659 Advait Nandakumar Menon: Maybe I can just understand what you guys have been, working on up till now, based on the transcripts and the information from before?
62 00:09:29.990 ⇒ 00:09:31.200 Advait Nandakumar Menon: Yeah.
63 00:09:31.200 ⇒ 00:09:31.840 Amber Lin: Let’s…
64 00:09:31.840 ⇒ 00:09:33.340 Advait Nandakumar Menon: again, I’m… yeah.
65 00:09:34.280 ⇒ 00:09:37.009 Amber Lin: Yeah, go ahead, sorry. I cut you off.
66 00:09:38.020 ⇒ 00:09:39.010 Advait Nandakumar Menon: Yeah.
67 00:09:39.520 ⇒ 00:09:49.270 Advait Nandakumar Menon: So, I can do that exploration and then also, pick up what we talked in the previous meeting about Omni and the spreadsheets and Snowflake.
68 00:09:50.660 ⇒ 00:09:54.849 Amber Lin: Yeah, have you added the element?
69 00:09:57.210 ⇒ 00:10:00.110 Amber Lin: So if you go on GitHub… Yeah.
70 00:10:00.390 ⇒ 00:10:07.530 Amber Lin: Colon repository… Maybe githook.com?
71 00:10:08.110 ⇒ 00:10:10.479 Amber Lin: And then we can grab the URL.
72 00:10:11.460 ⇒ 00:10:13.139 Amber Lin: Element.
73 00:10:14.370 ⇒ 00:10:17.249 Amber Lin: Should be… Yeah, right there.
74 00:10:22.460 ⇒ 00:10:29.790 Amber Lin: Okay, awesome. And then we go there, and then we add… Add folder to workspace.
75 00:10:32.800 ⇒ 00:10:35.559 Amber Lin: So this way, you can have both these things in.
76 00:10:36.550 ⇒ 00:10:38.210 Amber Lin: In this workspace.
77 00:10:38.600 ⇒ 00:10:46.929 Amber Lin: So now you should also have element there, and then you can try asking… Stuff about, hey, what happened?
78 00:10:47.430 ⇒ 00:10:48.430 Amber Lin: etc.
79 00:11:42.010 ⇒ 00:11:45.720 Advait Nandakumar Menon: Okay, I guess I can keep… So…
80 00:11:46.620 ⇒ 00:11:54.140 Advait Nandakumar Menon: Will this, like, consider both these repositories for context, or just… One at a time.
81 00:11:57.500 ⇒ 00:12:01.589 Advait Nandakumar Menon: So if I’m asking something over here in the ask mode.
82 00:12:01.870 ⇒ 00:12:06.849 Advait Nandakumar Menon: Is it considering just the context from GrainForge platform or Element as well?
83 00:12:07.070 ⇒ 00:12:13.529 Amber Lin: I think I should do both. You can… you can check with it, like, hey, are you using both of these contexts?
84 00:13:08.060 ⇒ 00:13:13.950 Advait Nandakumar Menon: I’m not sure why it’s just saying… Oh.
85 00:13:18.500 ⇒ 00:13:19.490 Advait Nandakumar Menon: That’s real.
86 00:14:47.150 ⇒ 00:14:52.210 Advait Nandakumar Menon: I don’t think it’s referencing to this one as well, it’s just referencing what’s…
87 00:14:56.950 ⇒ 00:14:59.130 Advait Nandakumar Menon: within Brainforge platform.
88 00:15:05.030 ⇒ 00:15:07.750 Amber Lin: Oh, oh, wait, it’s the… hmm…
89 00:15:11.860 ⇒ 00:15:19.210 Amber Lin: Can you drag the element folder? Like, go here and drag the folder into your chat?
90 00:15:21.500 ⇒ 00:15:22.900 Amber Lin: Yeah, down here.
91 00:15:32.480 ⇒ 00:15:42.599 Amber Lin: Oh, I mean, if it doesn’t work, maybe copy the path. Right-click, and then… oh, there we go. Oh, never mind. Right-click, and then copy…
92 00:15:44.560 ⇒ 00:15:49.690 Amber Lin: Let me pass… This should help it a little bit more.
93 00:16:54.520 ⇒ 00:16:57.169 Advait Nandakumar Menon: Yeah, I’m not sure it’s still helping.
94 00:16:57.820 ⇒ 00:16:58.630 Amber Lin: Mmm.
95 00:16:59.800 ⇒ 00:17:01.569 Amber Lin: One sec…
96 00:17:51.160 ⇒ 00:17:54.049 Amber Lin: Is it in your workspace? It should be.
97 00:17:55.260 ⇒ 00:17:56.160 Amber Lin: So weird.
98 00:17:56.160 ⇒ 00:17:56.700 Advait Nandakumar Menon: Hmm.
99 00:17:57.050 ⇒ 00:18:00.270 Amber Lin: Yeah, maybe try going into agent mode?
100 00:18:17.820 ⇒ 00:18:22.570 Amber Lin: Yeah, and then try asking another question to see if it… Improves.
101 00:19:11.960 ⇒ 00:19:15.279 Amber Lin: Okay, so it seems like it works now.
102 00:19:17.410 ⇒ 00:19:23.570 Amber Lin: Okay, great. Let me know how the exploration goes, and ping me in Slack.
103 00:19:24.480 ⇒ 00:19:34.140 Advait Nandakumar Menon: Yeah, sure. Awesome. And so you want me to go with this, and also the couple of things we discussed in the meeting before, right?
104 00:19:34.690 ⇒ 00:19:48.419 Amber Lin: Yeah, just to get a sense of where we’re at. They haven’t planned out the next steps, so I don’t know, I can’t tell you, like, hey, this is what they want us to do. So, also message Greg to be like, hey,
105 00:19:48.490 ⇒ 00:19:54.999 Amber Lin: Do we have other requirements for message… message in the channel, like, hey, what am I supposed to be owning?
106 00:19:55.730 ⇒ 00:19:57.150 Advait Nandakumar Menon: Oh, okay. Okay.
107 00:19:59.450 ⇒ 00:20:07.600 Advait Nandakumar Menon: Yeah, I think the task at hand, I think you have finished it, right? The one with what Putnam was asking?
108 00:20:10.430 ⇒ 00:20:11.480 Amber Lin: Sorry, again?
109 00:20:11.870 ⇒ 00:20:20.949 Advait Nandakumar Menon: The session that was… I mean, the working session we had in mind for this meeting, I… you are already done with it, right? Like you mentioned.
110 00:20:20.950 ⇒ 00:20:25.009 Amber Lin: Yeah, it’s faster than I expected, so just…
111 00:20:25.310 ⇒ 00:20:27.470 Amber Lin: I just sent it to him, yeah.
112 00:20:28.440 ⇒ 00:20:29.070 Advait Nandakumar Menon: Okay.
113 00:20:29.570 ⇒ 00:20:31.870 Advait Nandakumar Menon: Cool. Oh, well, cool.
114 00:20:32.030 ⇒ 00:20:42.840 Advait Nandakumar Menon: And if you have the time, I would appreciate, like, if you can explain a little about linear, because that’s another tool I haven’t used before.
115 00:20:43.190 ⇒ 00:20:50.570 Advait Nandakumar Menon: I am, like, I’ve used Jira before, but not something like linear, and I think it’s pretty similar.
116 00:20:51.180 ⇒ 00:20:57.020 Advait Nandakumar Menon: But if you can… If you have the time to explain it quickly, I would appreciate that.
117 00:20:58.940 ⇒ 00:21:01.980 Amber Lin: So… sure.
118 00:21:02.390 ⇒ 00:21:08.389 Amber Lin: Let’s take, like, 3 minutes and go over Linear. Are you logged in to Linear right now?
119 00:21:09.200 ⇒ 00:21:09.830 Advait Nandakumar Menon: Yeah.
120 00:21:09.970 ⇒ 00:21:15.960 Amber Lin: Cool. So, are you also added to the teams? If not, you should be able to find them over here.
121 00:21:17.120 ⇒ 00:21:19.149 Advait Nandakumar Menon: Let me check back.
122 00:21:27.750 ⇒ 00:21:29.589 Advait Nandakumar Menon: Yeah, I can see the dates.
123 00:21:30.480 ⇒ 00:21:38.009 Amber Lin: Awesome. So, essentially, you should be able to see things in issues, so this is just everything.
124 00:21:38.130 ⇒ 00:21:51.660 Amber Lin: Cycles is what’s currently happening, so this, I think we run on one-week cycles, so this is, like, what’s happening, and you can feel… always go here and say, hey, how do I… oh, right here, this icon.
125 00:21:51.660 ⇒ 00:21:58.959 Amber Lin: of how do I want to see this? You can group it by assignee, which will help you see, okay, Amber has these tasks.
126 00:21:58.960 ⇒ 00:22:05.270 Amber Lin: who has these tasks, I have these tasks, and then statuses, you can also group by…
127 00:22:05.340 ⇒ 00:22:13.580 Amber Lin: status to say, okay, so we have, to-do, in progress, and whatever is internal review.
128 00:22:15.070 ⇒ 00:22:18.439 Amber Lin: And then lastly, these are projects, so higher level…
129 00:22:18.620 ⇒ 00:22:29.840 Amber Lin: kind of like epics, if you work with Jira or whatever, so these are, like, overall projects, and these are the milestones, and you can, for example, click into…
130 00:22:30.260 ⇒ 00:22:31.510 Amber Lin: Here.
131 00:22:32.500 ⇒ 00:22:42.389 Amber Lin: And see, okay, these are the different milestones, these are the different issues under the milestones, and you can also group it
132 00:22:42.750 ⇒ 00:22:46.189 Amber Lin: by… I think grouped by milestone?
133 00:22:46.310 ⇒ 00:22:54.879 Amber Lin: To see what issues is under milestones. Sometimes it won’t be assigned, because we’re… we’re okay at keeping linear up-to-date.
134 00:22:55.310 ⇒ 00:23:04.219 Amber Lin: But that’s the main things, and explore this inside linear, and also you can always, for example.
135 00:23:04.770 ⇒ 00:23:12.770 Amber Lin: You can… I think in the channel, for instance…
136 00:23:13.720 ⇒ 00:23:28.299 Amber Lin: I would say at linear… I would say… Blind… Plan visualizations for new metrics.
137 00:23:30.460 ⇒ 00:23:45.710 Amber Lin: 4… 4… Based on questions, everyone… Team… Want to answer… Create ticket.
138 00:23:52.380 ⇒ 00:23:53.400 Amber Lin: Me.
139 00:23:54.150 ⇒ 00:23:56.220 Amber Lin: And you can also say at…
140 00:23:56.390 ⇒ 00:24:08.059 Amber Lin: Linear, you can say update certain tickets, or close, change the status on certain tickets, so you’re able to do a lot of things in Slack without directly going into linear.
141 00:24:08.790 ⇒ 00:24:12.359 Advait Nandakumar Menon: Okay. And for this, it should be connected, of course, right?
142 00:24:12.740 ⇒ 00:24:13.869 Amber Lin: Yeah, it’s just…
143 00:24:13.870 ⇒ 00:24:15.050 Advait Nandakumar Menon: My linear account.
144 00:24:15.190 ⇒ 00:24:15.780 Advait Nandakumar Menon: Oh, God.
145 00:24:15.780 ⇒ 00:24:16.340 Amber Lin: Yeah.
146 00:24:16.340 ⇒ 00:24:16.980 Advait Nandakumar Menon: So good.
147 00:24:18.720 ⇒ 00:24:19.320 Amber Lin: Cool.
148 00:24:21.180 ⇒ 00:24:26.330 Advait Nandakumar Menon: Awesome. So… I will take it from here, and I’ll let you know how it goes.
149 00:24:26.880 ⇒ 00:24:28.059 Amber Lin: Yeah, of course.
150 00:24:29.610 ⇒ 00:24:32.080 Amber Lin: Sounds good, yeah. Alrighty.
151 00:24:32.490 ⇒ 00:24:32.980 Amber Lin: Bye.
152 00:24:33.540 ⇒ 00:24:34.370 Advait Nandakumar Menon: Right.