Meeting Title: Friday Brainforge Demos & Retro Date: 2026-02-20 Meeting participants: Brylle Girang, Mustafa Raja, Greg Stoutenburg, Rico Rejoso, Pranav Narahari, Elizah Joy, Ryan Brosas, Robert Tseng, Luke Scorziell, Clarence Stone, Demilade Agboola, Hannah Wang
WEBVTT
1 00:03:04.050 ⇒ 00:03:04.950 Greg Stoutenburg: Hey, Alan.
2 00:03:05.490 ⇒ 00:03:06.240 Mustafa Raja: Hey.
3 00:03:07.150 ⇒ 00:03:08.260 Brylle Girang: Hello?
4 00:03:08.770 ⇒ 00:03:09.640 Greg Stoutenburg: Blue.
5 00:03:49.960 ⇒ 00:03:50.690 Greg Stoutenburg: Business…
6 00:04:31.650 ⇒ 00:04:33.640 Robert Tseng: Happy Friday, everyone!
7 00:04:34.980 ⇒ 00:04:36.170 Greg Stoutenburg: Happy Friday!
8 00:04:36.680 ⇒ 00:04:37.710 Rico Rejoso: Alrighty, guys.
9 00:04:41.180 ⇒ 00:04:41.870 Greg Stoutenburg: Tara?
10 00:04:43.720 ⇒ 00:04:44.580 Greg Stoutenburg: Whoa.
11 00:04:47.600 ⇒ 00:04:48.320 Luke Scorziell: 8.
12 00:04:52.400 ⇒ 00:04:53.300 Greg Stoutenburg: Hello.
13 00:05:05.280 ⇒ 00:05:08.529 Luke Scorziell: Love seeing all the cameras on that I don’t normally get to see your faces.
14 00:05:08.960 ⇒ 00:05:12.730 Robert Tseng: I know, this is maybe, like, my second time seeing Rico.
15 00:05:15.630 ⇒ 00:05:19.000 Luke Scorziell: I know, Mustafa, I’ve seen your face before, too.
16 00:05:22.440 ⇒ 00:05:23.759 Greg Stoutenburg: Well, lucky you, Luke!
17 00:05:24.690 ⇒ 00:05:25.550 Luke Scorziell: What’d he say?
18 00:05:27.000 ⇒ 00:05:28.459 Greg Stoutenburg: I say, well, lucky you!
19 00:05:28.660 ⇒ 00:05:29.580 Luke Scorziell: I know, yeah.
20 00:05:29.580 ⇒ 00:05:32.619 Greg Stoutenburg: That’s your Friday gift, you got to see, Rico Mustafa.
21 00:05:34.630 ⇒ 00:05:37.170 Luke Scorziell: Thank you. That’s all I could have asked for.
22 00:05:44.210 ⇒ 00:05:46.340 Mustafa Raja: Let me know if we are good to start.
23 00:05:47.120 ⇒ 00:05:49.859 Robert Tseng: Yeah, let’s start. Thompson joining today.
24 00:05:50.040 ⇒ 00:05:50.660 Mustafa Raja: Okay.
25 00:05:55.130 ⇒ 00:05:56.080 Mustafa Raja: -
26 00:05:56.390 ⇒ 00:05:57.400 Mustafa Raja: At this.
27 00:06:13.830 ⇒ 00:06:15.070 Mustafa Raja: Okay.
28 00:06:28.590 ⇒ 00:06:44.049 Mustafa Raja: Okay, so, I’ll be, I will be hosting today’s, Icebreaker and LabShare, and for Icebreaker, please go ahead and, scan this QR, we are going to have a quick little, quiz, fun quiz.
29 00:06:45.770 ⇒ 00:06:46.790 Luke Scorziell: Oh, that’s fun.
30 00:06:57.440 ⇒ 00:07:01.089 Greg Stoutenburg: Now, Mustafa owns all of our phones. We fell for it.
31 00:07:06.420 ⇒ 00:07:07.150 Mustafa Raja: Thank you.
32 00:07:07.280 ⇒ 00:07:08.929 Mustafa Raja: I see 7 players join.
33 00:07:18.100 ⇒ 00:07:19.669 Greg Stoutenburg: I’ve been consulted.
34 00:07:27.000 ⇒ 00:07:28.530 Luke Scorziell: Oh, that’s tough.
35 00:07:41.960 ⇒ 00:07:44.249 Robert Tseng: Oh, it waits for everyone to answer? Okay.
36 00:07:45.890 ⇒ 00:07:48.810 Mustafa Raja: I think time also counts, in ranking.
37 00:07:50.730 ⇒ 00:07:52.780 Robert Tseng: What? Oh, no way.
38 00:07:54.060 ⇒ 00:07:56.779 Greg Stoutenburg: Dude, you are as eager as I am.
39 00:07:59.510 ⇒ 00:08:00.300 Mustafa Raja: Okay.
40 00:08:01.320 ⇒ 00:08:02.430 Luke Scorziell: We got that right.
41 00:08:05.860 ⇒ 00:08:07.530 Robert Tseng: Barefoot Contessa.
42 00:08:09.880 ⇒ 00:08:10.490 Luke Scorziell: Dang.
43 00:08:11.220 ⇒ 00:08:11.890 Mustafa Raja: Okay.
44 00:08:12.490 ⇒ 00:08:13.940 Luke Scorziell: I shouldn’t have put my real name.
45 00:08:14.160 ⇒ 00:08:15.790 Robert Tseng: I know, I should have put Luke.
46 00:08:19.020 ⇒ 00:08:23.329 Greg Stoutenburg: Like, Luke if wrong, Robert if right.
47 00:08:23.680 ⇒ 00:08:25.240 Luke Scorziell: Whoa, whoa, I don’t know about that.
48 00:08:30.830 ⇒ 00:08:31.850 Greg Stoutenburg: Oh, come on.
49 00:08:35.669 ⇒ 00:08:36.229 Robert Tseng: Yeah.
50 00:08:39.870 ⇒ 00:08:41.039 Luke Scorziell: That’s actually France.
51 00:08:44.890 ⇒ 00:08:47.199 Greg Stoutenburg: I didn’t see Portugal on here, yeah, what’s the deal?
52 00:08:49.830 ⇒ 00:08:50.579 Clarence Stone: Just for you, this is.
53 00:08:50.580 ⇒ 00:08:54.350 Luke Scorziell: No… no! What? That’s… no way.
54 00:08:54.810 ⇒ 00:08:57.799 Mustafa Raja: France has a lot of foreign territories, right?
55 00:08:58.040 ⇒ 00:08:58.580 Robert Tseng: What!
56 00:09:00.200 ⇒ 00:09:01.010 Pranav Narahari: Makes sense.
57 00:09:02.140 ⇒ 00:09:03.310 Robert Tseng: Oh, my.
58 00:09:03.310 ⇒ 00:09:04.179 Mustafa Raja: Who’s this?
59 00:09:05.300 ⇒ 00:09:06.439 Mustafa Raja: Who got it?
60 00:09:07.080 ⇒ 00:09:07.790 Rico Rejoso: That’s mean.
61 00:09:09.530 ⇒ 00:09:09.980 Luke Scorziell: Bangor.
62 00:09:09.980 ⇒ 00:09:10.460 Robert Tseng: Okay.
63 00:09:10.770 ⇒ 00:09:11.550 Pranav Narahari: Nice.
64 00:09:12.380 ⇒ 00:09:12.839 Mustafa Raja: I hate you.
65 00:09:13.940 ⇒ 00:09:15.509 Robert Tseng: Gotta get at least one.
66 00:09:15.980 ⇒ 00:09:18.510 Greg Stoutenburg: Yeah, this is starting to hurt a little bit.
67 00:09:25.760 ⇒ 00:09:26.640 Robert Tseng: Oh, okay.
68 00:09:28.510 ⇒ 00:09:30.879 Greg Stoutenburg: Don’t be so confident.
69 00:09:30.880 ⇒ 00:09:31.970 Luke Scorziell: Oh, no, I…
70 00:09:31.970 ⇒ 00:09:33.260 Robert Tseng: Oh, oh, no, no, no.
71 00:09:33.260 ⇒ 00:09:37.229 Greg Stoutenburg: Oh, no! Oh, no, we stayed.
72 00:09:37.230 ⇒ 00:09:39.010 Luke Scorziell: I already know, I already know what it is.
73 00:09:39.010 ⇒ 00:09:41.110 Robert Tseng: You know what this is gonna be. Oh, man.
74 00:09:47.030 ⇒ 00:09:48.010 Greg Stoutenburg: Thank goodness.
75 00:09:48.460 ⇒ 00:09:50.640 Robert Tseng: Is that… is that really a desert, though?
76 00:09:51.600 ⇒ 00:09:52.710 Mustafa Raja: It’s precipitation.
77 00:09:52.710 ⇒ 00:09:54.280 Greg Stoutenburg: Annually, right?
78 00:09:55.890 ⇒ 00:09:58.899 Robert Tseng: It is considered a desert, dark. Yeah.
79 00:10:00.630 ⇒ 00:10:01.400 Robert Tseng: Oh.
80 00:10:01.400 ⇒ 00:10:02.800 Mustafa Raja: Oh, now I’ve jumped.
81 00:10:04.160 ⇒ 00:10:04.940 Luke Scorziell: Thought I’m not alone.
82 00:10:04.940 ⇒ 00:10:06.199 Pranav Narahari: There we go.
83 00:10:07.330 ⇒ 00:10:10.089 Greg Stoutenburg: Hey, slow down, Pranav, I just entered the race, okay?
84 00:10:12.360 ⇒ 00:10:14.240 Robert Tseng: Who’s Barefoot? Contessa.
85 00:10:15.850 ⇒ 00:10:16.750 Greg Stoutenburg: cursor.
86 00:10:16.750 ⇒ 00:10:17.550 Demilade Agboola: Jesus.
87 00:10:17.550 ⇒ 00:10:18.910 Robert Tseng: Oh, okay.
88 00:10:18.910 ⇒ 00:10:21.050 Greg Stoutenburg: UTom’s here, just be a cursor.
89 00:10:24.770 ⇒ 00:10:27.249 Clarence Stone: Who’s using Cluyly right now?
90 00:10:28.880 ⇒ 00:10:29.740 Mustafa Raja: Aggie.
91 00:10:31.770 ⇒ 00:10:33.949 Luke Scorziell: I’m gonna go for the most unlikely one this time.
92 00:10:34.500 ⇒ 00:10:35.300 Robert Tseng: Yeah.
93 00:10:36.200 ⇒ 00:10:36.650 Luke Scorziell: Oh, I know.
94 00:10:36.650 ⇒ 00:10:37.570 Robert Tseng: Oh, okay.
95 00:10:41.200 ⇒ 00:10:41.880 Robert Tseng: Alright.
96 00:10:42.350 ⇒ 00:10:46.130 Greg Stoutenburg: Yeah, we know more than one thing about this particular place.
97 00:10:48.410 ⇒ 00:10:50.660 Luke Scorziell: Although now I feel… yeah.
98 00:10:51.250 ⇒ 00:10:55.379 Luke Scorziell: Got the easy one. I don’t even want to speak too soon. That could be alright.
99 00:10:55.380 ⇒ 00:10:56.090 Greg Stoutenburg: Seriously.
100 00:10:57.170 ⇒ 00:10:58.510 Robert Tseng: Okay, great.
101 00:10:58.510 ⇒ 00:11:01.180 Luke Scorziell: Oh, okay. Thank you.
102 00:11:01.820 ⇒ 00:11:03.360 Luke Scorziell: There you go, Boost, I need to…
103 00:11:11.300 ⇒ 00:11:12.799 Greg Stoutenburg: Gustava, are you barefoot Contessa?
104 00:11:12.800 ⇒ 00:11:15.560 Mustafa Raja: No, no, I’m not playing, because I know the answers already.
105 00:11:18.870 ⇒ 00:11:19.900 Mustafa Raja: Okay, next one.
106 00:11:21.060 ⇒ 00:11:23.250 Robert Tseng: Last place does the next icebreaker.
107 00:11:24.680 ⇒ 00:11:26.050 Clarence Stone: I like that.
108 00:11:32.300 ⇒ 00:11:32.920 Robert Tseng: Huh.
109 00:11:34.530 ⇒ 00:11:36.569 Robert Tseng: Okay, this is gonna be a straight-up guess.
110 00:11:47.040 ⇒ 00:11:49.190 Luke Scorziell: Hold on, let’s go!
111 00:11:49.190 ⇒ 00:11:49.750 Pranav Narahari: Oh, holy.
112 00:11:49.750 ⇒ 00:11:50.950 Robert Tseng: Avatar!
113 00:11:52.460 ⇒ 00:11:55.310 Robert Tseng: Oh, man. Okay, I might be last place.
114 00:12:03.280 ⇒ 00:12:04.210 Luke Scorziell: A ho.
115 00:12:19.740 ⇒ 00:12:20.680 Luke Scorziell: Oh, man.
116 00:12:23.480 ⇒ 00:12:25.810 Greg Stoutenburg: Hmm… Mmm.
117 00:12:27.430 ⇒ 00:12:28.810 Clarence Stone: This one’s a toss-up.
118 00:12:29.640 ⇒ 00:12:31.290 Robert Tseng: native speakers?
119 00:12:32.470 ⇒ 00:12:32.950 Greg Stoutenburg: So good.
120 00:12:32.950 ⇒ 00:12:33.620 Robert Tseng: Okay.
121 00:12:33.620 ⇒ 00:12:36.029 Clarence Stone: Demographics are changing, this is hard.
122 00:12:38.360 ⇒ 00:12:39.700 Robert Tseng: Yeah, okay, okay.
123 00:12:39.700 ⇒ 00:12:40.390 Clarence Stone: But…
124 00:12:40.390 ⇒ 00:12:42.870 Greg Stoutenburg: For most of us.
125 00:12:46.920 ⇒ 00:12:50.439 Greg Stoutenburg: Was for me, but…
126 00:12:50.440 ⇒ 00:12:51.880 Luke Scorziell: Eliza got on board.
127 00:13:01.620 ⇒ 00:13:03.080 Robert Tseng: I believe in you, Z.
128 00:13:04.800 ⇒ 00:13:06.069 Robert Tseng: You’re gonna get one.
129 00:13:12.470 ⇒ 00:13:13.310 Robert Tseng: Okay.
130 00:13:13.930 ⇒ 00:13:15.999 Luke Scorziell: Oh, I think I got it wrong, actually.
131 00:13:16.630 ⇒ 00:13:17.630 Clarence Stone: I don’t know.
132 00:13:19.780 ⇒ 00:13:22.289 Clarence Stone: I thought it was Chile or Argentina.
133 00:13:22.540 ⇒ 00:13:26.199 Robert Tseng: If it’s Norway, I’m gonna… I’m gonna exit.
134 00:13:31.520 ⇒ 00:13:33.620 Robert Tseng: Oh, what? Okay.
135 00:13:33.810 ⇒ 00:13:36.319 Greg Stoutenburg: They must have included all the zigzags.
136 00:13:36.320 ⇒ 00:13:36.670 Clarence Stone: Absolutely.
137 00:13:36.670 ⇒ 00:13:37.659 Robert Tseng: Yeah, all the, all the…
138 00:13:37.660 ⇒ 00:13:39.779 Clarence Stone: Let’s go shores and stuff.
139 00:13:45.150 ⇒ 00:13:47.519 Luke Scorziell: Does Barefoot contest a gun to everyone, right?
140 00:13:47.930 ⇒ 00:13:48.950 Clarence Stone: I think so.
141 00:13:50.400 ⇒ 00:13:52.180 Robert Tseng: You gotta reveal yourself at the end.
142 00:13:55.380 ⇒ 00:13:56.920 Luke Scorziell: Process of elimination.
143 00:14:06.010 ⇒ 00:14:07.720 Robert Tseng: Oh. Okay.
144 00:14:07.860 ⇒ 00:14:08.940 Robert Tseng: Interesting.
145 00:14:10.190 ⇒ 00:14:12.570 Robert Tseng: Alright.
146 00:14:15.550 ⇒ 00:14:19.170 Greg Stoutenburg: I hope this is a surprise freebie to just shake up the rankings.
147 00:14:21.820 ⇒ 00:14:23.559 Robert Tseng: Or I’m just gonna look really dumb.
148 00:14:25.650 ⇒ 00:14:28.599 Greg Stoutenburg: Okay, good, good, good.
149 00:14:28.600 ⇒ 00:14:29.000 Luke Scorziell: Crazy.
150 00:14:29.710 ⇒ 00:14:31.020 Luke Scorziell: Yeah, well…
151 00:14:31.070 ⇒ 00:14:33.200 Robert Tseng: I, I, yeah, not what I would have thought.
152 00:14:40.640 ⇒ 00:14:43.660 Clarence Stone: I’m never getting number one.
153 00:14:44.710 ⇒ 00:14:47.459 Greg Stoutenburg: Yeah, this crew should not be trying out for Jeopardy.
154 00:14:56.440 ⇒ 00:14:57.080 Robert Tseng: Huh.
155 00:14:57.080 ⇒ 00:14:59.870 Luke Scorziell: Oh, no, no, no. See, I always…
156 00:15:00.190 ⇒ 00:15:02.649 Luke Scorziell: It’s hard that you get more points for reacting quickly.
157 00:15:07.260 ⇒ 00:15:09.869 Clarence Stone: Not the distance from the sun, it’s the rotation.
158 00:15:10.340 ⇒ 00:15:10.960 Greg Stoutenburg: Yeah.
159 00:15:12.600 ⇒ 00:15:13.140 Pranav Narahari: Oof.
160 00:15:13.330 ⇒ 00:15:20.029 Luke Scorziell: Also, tech… I mean, technically, It could be… that could be true, and another one could be true.
161 00:15:20.200 ⇒ 00:15:21.780 Luke Scorziell: We’ve just done, yeah.
162 00:15:22.180 ⇒ 00:15:23.120 Luke Scorziell: Got it wrong.
163 00:15:23.380 ⇒ 00:15:25.450 Clarence Stone: That, that is true.
164 00:15:27.150 ⇒ 00:15:28.220 Clarence Stone: What!
165 00:15:32.240 ⇒ 00:15:33.399 Greg Stoutenburg: It’s cursor.
166 00:15:34.620 ⇒ 00:15:35.890 Mustafa Raja: Who’s barefoot?
167 00:15:37.760 ⇒ 00:15:44.709 Clarence Stone: Okay, I’m barefooted. I knew it! I was like, Jamie, he’s quiet.
168 00:15:45.660 ⇒ 00:15:47.820 Mustafa Raja: Okay, that was it for the…
169 00:15:49.700 ⇒ 00:15:52.200 Mustafa Raja: I think now… now let’s move to…
170 00:15:52.520 ⇒ 00:15:53.780 Robert Tseng: Who’s he?
171 00:15:54.700 ⇒ 00:15:57.039 Robert Tseng: You’re gonna… you’re gonna be doing the…
172 00:15:57.470 ⇒ 00:15:59.229 Robert Tseng: You’re gonna be doing the ice anchor next time.
173 00:16:01.770 ⇒ 00:16:07.130 Robert Tseng: I don’t feel like… I don’t believe that Z was a real person. Like, I feel like you gotta have…
174 00:16:07.470 ⇒ 00:16:08.910 Robert Tseng: Might have dropped, okay.
175 00:16:09.430 ⇒ 00:16:11.499 Greg Stoutenburg: Yeah, it’d be hard to not even get one right.
176 00:16:11.500 ⇒ 00:16:13.690 Robert Tseng: Yeah, yeah, yeah.
177 00:16:14.500 ⇒ 00:16:21.569 Robert Tseng: I mean, I was trying hard, and I only got two, so… you must have… even if you randomly guessed, you might have gotten one.
178 00:16:22.040 ⇒ 00:16:22.690 Robert Tseng: Yeah.
179 00:16:22.690 ⇒ 00:16:23.450 Mustafa Raja: Okay.
180 00:16:25.120 ⇒ 00:16:44.780 Mustafa Raja: Okay, so, so for LabShare, we’ve been working on, Eden, Tableau migration to Omni, and I’ve been using Cursor, a lot to help me out there, right? So, I’m going to, show you how I’m using Cursor, to sort of support me, in this migration.
181 00:16:45.160 ⇒ 00:16:46.620 Mustafa Raja: Misha…
182 00:16:51.890 ⇒ 00:16:52.830 Mustafa Raja: Okay.
183 00:16:55.290 ⇒ 00:17:18.869 Mustafa Raja: Okay, so, Omni has this tool, Model Local Editor. What this does is it syncs the data model, in Omni, with our local machine, and what that enables us to do is we can have Cursor, build, topics and models in our local machine, and those models are then going to sync with
184 00:17:18.869 ⇒ 00:17:21.509 Mustafa Raja: the shared model that we would have in Omni.
185 00:17:21.510 ⇒ 00:17:26.989 Mustafa Raja: And this sort of helped, helped me a lot, in moving the data model from,
186 00:17:27.730 ⇒ 00:17:29.899 Mustafa Raja: From Tableau to, Omni.
187 00:17:31.040 ⇒ 00:17:49.659 Mustafa Raja: So, sort of how that looks like is, these are all of the topics, and then these, these are all of the dbt tables, and this all was pulled by the CLI tool, and Cursor uses it, to sort of work with it. We have created all of this AI context.
188 00:17:49.690 ⇒ 00:17:58.080 Mustafa Raja: Using this tool, we added, we added the word transcripts, and then some documentation.
189 00:17:58.690 ⇒ 00:18:01.669 Mustafa Raja: So to support this, AI context.
190 00:18:02.550 ⇒ 00:18:22.059 Mustafa Raja: Now, now, what this context, this AI context does is it, it enables, Omni AI, to sort of know which, which, tables and which, topics are for what purpose, right? So, if I’m going to…
191 00:18:22.060 ⇒ 00:18:23.550 Mustafa Raja: If I’m going to go…
192 00:18:23.850 ⇒ 00:18:31.270 Mustafa Raja: over here, and if I’m going, going to sort of take a screenshot of this chart…
193 00:18:34.920 ⇒ 00:18:46.000 Mustafa Raja: And then I’m… Moving here, I’ll say… Hey, let’s… Can you help me?
194 00:18:52.090 ⇒ 00:18:52.870 Mustafa Raja: Sure.
195 00:18:54.500 ⇒ 00:18:55.940 Mustafa Raja: in Omni.
196 00:18:58.620 ⇒ 00:19:00.260 Mustafa Raja: Anyways,
197 00:19:05.220 ⇒ 00:19:22.309 Mustafa Raja: And I have downloaded all of these dashboards over here, in, Tableau workbook format. So, and Cursor is able to read this format. So Cursor is going to be able to look into the data sources that was used, all of the metric definitions, and all of the metrics that are being used.
198 00:19:22.310 ⇒ 00:19:36.040 Mustafa Raja: So, it knows all of the underlying data model of the chart, so it will be able to suggest me the right topic and the exact steps that I need to take to sort of recreate this anomaly.
199 00:19:36.630 ⇒ 00:19:42.979 Mustafa Raja: Let’s do that. Yeah, this is going to take a couple of minutes.
200 00:19:44.940 ⇒ 00:19:45.979 Mustafa Raja: Let’s sit back.
201 00:20:44.710 ⇒ 00:20:55.279 Mustafa Raja: Okay, this has generated me… it’s telling me, okay, use this topic. So, what I’m going to do in Omni is, I’m going to go over here, I’m going to click on New.
202 00:20:55.440 ⇒ 00:20:59.359 Mustafa Raja: I’m going to come over here… Pick this up.
203 00:21:00.230 ⇒ 00:21:02.320 Mustafa Raja: And then just search it, biggest.
204 00:21:02.910 ⇒ 00:21:07.559 Mustafa Raja: Then I’m going to… chart setup, I’m just going to copy this.
205 00:21:08.280 ⇒ 00:21:15.349 Mustafa Raja: This revenue’s gonna be… And then I’m going to, bloppy.
206 00:21:15.920 ⇒ 00:21:20.240 Mustafa Raja: to help me create this, I’m also going to give it a screenshot, so it has some…
207 00:21:23.880 ⇒ 00:21:25.630 Mustafa Raja: Context on how it looks like.
208 00:21:27.980 ⇒ 00:21:29.760 Mustafa Raja: And let’s hope it works.
209 00:21:30.160 ⇒ 00:21:31.420 Mustafa Raja: It usually does.
210 00:22:06.960 ⇒ 00:22:13.200 Mustafa Raja: Yeah, okay. Yeah, this is nice, this is good. This is…
211 00:22:19.410 ⇒ 00:22:24.990 Mustafa Raja: Yeah, this is what we needed. We can see the values are all correct. We can add labels,
212 00:22:25.930 ⇒ 00:22:28.770 Mustafa Raja: So to see the values…
213 00:22:31.600 ⇒ 00:22:50.840 Mustafa Raja: Yeah. And this way, I can just, you know, quickly, create, some of the simpler charts. It struggles with heat maps and stuff, but for most of, but most of the times, it just works. So, this has been my strategy for migration. Yeah, that’s pretty much it for the lab share. Thank you.
214 00:22:54.660 ⇒ 00:22:56.839 Mustafa Raja: I was like… Let me show again.
215 00:23:00.180 ⇒ 00:23:00.880 Mustafa Raja: Yeah.
216 00:23:02.750 ⇒ 00:23:04.240 Demilade Agboola: That’s pretty cool, to be honest.
217 00:23:06.080 ⇒ 00:23:11.769 Demilade Agboola: And honestly, that would help me speed up, like, part of what I’m doing for the migration as well, so that’s very helpful to see.
218 00:23:13.100 ⇒ 00:23:13.759 Mustafa Raja: Thank you.
219 00:23:17.230 ⇒ 00:23:17.780 Mustafa Raja: Nice.
220 00:23:17.780 ⇒ 00:23:22.600 Robert Tseng: I think I’m next. Do I… do I share my screen, or does someone usually share the screen?
221 00:23:22.750 ⇒ 00:23:25.059 Mustafa Raja: Oh, sorry, I’m sharing the wrong screen.
222 00:23:25.310 ⇒ 00:23:27.969 Robert Tseng: Okay. I can share my screen, or let me know if you want to share.
223 00:23:28.320 ⇒ 00:23:33.519 Robert Tseng: Sure, I… I don’t mind sharing.
224 00:23:33.770 ⇒ 00:23:34.469 Mustafa Raja: I don’t…
225 00:23:34.470 ⇒ 00:23:36.280 Robert Tseng: Oh, actually, you got it. Yeah.
226 00:23:36.450 ⇒ 00:23:38.329 Mustafa Raja: Wait, let me get it again.
227 00:23:38.920 ⇒ 00:23:39.600 Robert Tseng: Okay.
228 00:23:40.910 ⇒ 00:24:01.850 Robert Tseng: Cool. I prefer to just talk. Okay, cool. So, I don’t think I told Greg and Mustafa I did this beforehand, so apologies. But, yeah, I guess, like, I was just trying to think of a theme for the slide of this past couple weeks. I would say I was thinking of the Fast and Furious Tokyo Drift movie.
229 00:24:01.850 ⇒ 00:24:05.509 Robert Tseng: So, calling it Pray Forest Drift. And,
230 00:24:05.510 ⇒ 00:24:12.279 Robert Tseng: yeah, I’m just gonna call out a few things that I feel like really sum up, kind of, what has happened the past… past two weeks.
231 00:24:12.670 ⇒ 00:24:18.929 Robert Tseng: One, I think this is the fastest BI migration I’ve ever seen from Eden to Tableau,
232 00:24:18.970 ⇒ 00:24:35.440 Robert Tseng: to move Eden from Tableau to Omni in two weeks, and I think Greg and Mustafa, and I know there’s other people involved, so sorry, I couldn’t put two people in that photo, have really been spearheading that, and it’s incredible, because I think both of these folks have never really used,
233 00:24:35.500 ⇒ 00:24:57.979 Robert Tseng: I mean, maybe you’ve seen BI tools, but I wouldn’t consider you BI experts, and so, to be able to learn it quickly, and then be able to just jump into it, right away, I think it shows that a lot of, like, the work that we do on the back end to get, like, Eden’s data stack to where it is makes it so that it is truly composable, meaning that, like, we can plug and play any
234 00:24:57.980 ⇒ 00:25:11.540 Robert Tseng: any tool out there. So, I think this is just, like, a good reminder to me that, like, the work that we do… I think people, sometimes we question, like, should we be specialized? Should we just be, like, a Tableau shop, only be doing, like, one thing?
235 00:25:11.580 ⇒ 00:25:21.430 Robert Tseng: have a preferred stack, and yeah, we may have… we have… we may have different preferences, and I think we’re opinionated when the… when the situation arises, but generally,
236 00:25:21.450 ⇒ 00:25:39.129 Robert Tseng: the solutions that we build are really future-oriented. We’re thinking about, we want to give our clients the flexibility to choose a tool that’s best for them, and we don’t want the decisions that we’ve made to be a bottleneck for them. So, the fact that they can move off of one of the largest
237 00:25:39.130 ⇒ 00:25:54.990 Robert Tseng: kind of BI providers, Tableau, which probably most of you have heard of, to something completely different, in such a short amount of time, is a testament to a lot of the foundational work that we’ve been doing with this client over the months.
238 00:25:56.590 ⇒ 00:26:01.730 Robert Tseng: Second thing I’ll say is, in the partnerships world, there’s a lot of things that are moving around,
239 00:26:01.990 ⇒ 00:26:08.090 Robert Tseng: I think we’ve shortened the number… shortened the list of the partners that we’re talking to, and…
240 00:26:08.090 ⇒ 00:26:32.929 Robert Tseng: I think for a couple of the ones that we’ve been focusing on with Snowflake and Omni, I think there’s just good momentum. So, obviously with Omni, they’re happy that we’ve pretty much brought them 3 clients for business over the past couple months, and so Utub and I will both be going to their various conferences in SF and New York, so hoping to, obviously network, but also looking for, like, a speaker slot there as well, so that we can
241 00:26:32.930 ⇒ 00:26:35.300 Robert Tseng: continue to deepen our partnership with Omni.
242 00:26:36.070 ⇒ 00:26:43.200 Robert Tseng: And then Udam has been calling a bunch of Snowflake account executives, so these are just salespeople, who…
243 00:26:43.600 ⇒ 00:27:06.419 Robert Tseng: yeah, they basically cover different territories, and we’re kind of just going through, like, the entire, like, list of account executives, trying to see who would be a good friend for Brainforge. And there have been a couple people who have been willing to share accounts with us, specifically in the Northeast and the Southwest regions of the U.S, so, yeah, I guess those on the sales team, you’ve probably seen some of these leads come into our pipeline, and
244 00:27:06.420 ⇒ 00:27:19.030 Robert Tseng: These are really big deals that probably take months to work on. So, it’s good, good momentum, and glad we finally kind of have… have this type of, account mapping, relationship with some…
245 00:27:19.100 ⇒ 00:27:23.529 Robert Tseng: With some of the folks on their team, and we’re excited to keep going with that.
246 00:27:24.080 ⇒ 00:27:38.660 Robert Tseng: The third thing I want to highlight is E2A is edge to activation. I mean, this is kind of just a term that Luke coined, but it really is just, like, a very, it’s one of our services that really came from Zoran. He’s not on this call.
247 00:27:39.100 ⇒ 00:27:47.220 Robert Tseng: So he came out to Eden, he was doing some work, he wanted to try this particular approach, in, in, in his work for Eden.
248 00:27:47.220 ⇒ 00:28:00.250 Robert Tseng: we let them rip it, and from there, it ended up becoming a really impactful work stream that we’ve since taken from the delivery side, turned it into an offering, and Luke and I have been selling it for the past month.
249 00:28:00.250 ⇒ 00:28:05.420 Robert Tseng: And so, we just closed our first deal on it last week, and the client has started this week.
250 00:28:05.420 ⇒ 00:28:23.309 Robert Tseng: And, I think there’s just a pretty… we’re still very early in this technology and kind of the market here. I feel like people still don’t really understand, kind of, how we’re able to deliver this, and so I think this is a great opportunity for us to really ride this wave, and a great example of, like, all those different
251 00:28:23.400 ⇒ 00:28:47.379 Robert Tseng: efforts that we’ve had to try to bring the sales team and the delivery side together to take the ideas from, like, our engineering staff and to turn them into things that I can go and sell. So, I think this is really validating. I don’t take any credit for this work stream. I don’t even know how to… I don’t even know how to implement this. This is purely Zora and his expertise, and so, if we’re able to sell a few more of these, I’d love to put
252 00:28:47.380 ⇒ 00:28:52.179 Robert Tseng: a couple people under Zoran, and he can pretty much just be the GM for that service offering.
253 00:28:52.490 ⇒ 00:29:10.140 Robert Tseng: So, I hope that’s just, like, a great kind of, testimony to the other folks who are involved in delivery. I think it’s easy to kind of be caught up in just, like, needing to just execute the things that, you know, the client is telling you, but I would… I think the incentive for you is really, if you’re able to, you know.
254 00:29:10.310 ⇒ 00:29:24.529 Robert Tseng: find… build something that’s, not… that you… that you’re really excited about, and it’s impactful, we have the capability to turn that into something we can sell for you under Brainforge, and there’s obviously some upside for you there, too.
255 00:29:25.930 ⇒ 00:29:45.900 Robert Tseng: Yeah, the last thing I want to acknowledge is, yeah, I think our team and clients are constantly reshuffling. For those who are newer to this organization, I think maybe you can feel some of that whiplash, and I think that’s why I kind of have this, this, like, car doing donuts. Do you remember that scene? It feels like we take corners very fast.
256 00:29:45.900 ⇒ 00:29:51.269 Robert Tseng: We’re going really fast in one direction, we could U-turn very quickly as well.
257 00:29:51.270 ⇒ 00:29:58.770 Robert Tseng: I think, yeah, it definitely takes some getting used to, I want to acknowledge that, and we don’t always make the right decisions, but I think…
258 00:29:59.180 ⇒ 00:30:23.829 Robert Tseng: And it’s not that these are mistakes, necessarily, it’s just that, yeah, circumstances change. I think, one, on the delivery side, we have to just expect that 15% of our clients will churn month over month. That’s what we’ve seen in the past 6 months. I’ve accounted for that in our… in our sales projections. Like, we’re… we’re fine. Like, we counterbalance that with the way that we were growing some of our deals as well. You know, we’re signing 6-month, year-long deals.
259 00:30:23.830 ⇒ 00:30:34.059 Robert Tseng: that are bigger with CTA, with Element, but then other clients may… may shrink, and maybe some of you are kind of encountering that, where they’re less willing to kind of
260 00:30:34.300 ⇒ 00:30:50.749 Robert Tseng: go with us and to grow with us, and it may not end up being a good fit moving forward. So, I think this is just kind of part of the nature of this business, where we do constantly have to be kind of going and chasing new deals, which is why we have a go-to-market team.
261 00:30:50.980 ⇒ 00:31:04.900 Robert Tseng: But also, like, I think the plus side is, you know, if any of you have been in, you know, longer full-time roles, like, I think there’s always, like, a sweet spot where there’s never, like, a… at least for me, my experience, like.
262 00:31:04.990 ⇒ 00:31:28.289 Robert Tseng: maybe it is only good to work with a client for a short period of time, 6 months to a year. Get in, do the impactful work that we can, and then get out. You know, some clients, like, they’re winding down their business because they’re not doing so hot, and they have to cut costs as well. So, there’s just a lot of things that are out of our hands that, like, I think it… I personally find it more freeing to be in the position that we’re in, where we can choose who we want to work with.
263 00:31:28.820 ⇒ 00:31:38.969 Robert Tseng: So, you know, I think just… just kind of keep that in mind as we continue to move forward, that this business will look like a different set of clients every 3 months, I think.
264 00:31:39.860 ⇒ 00:31:57.810 Robert Tseng: And then on the team side, I think all of you, most of you have been asked to do things you’ve never done before. I think that’s everybody in this business, you know? And, yeah, I think that’s kind of part of our DNA at this point, and I think we’ve created an environment where we really
265 00:31:58.230 ⇒ 00:32:16.649 Robert Tseng: not just encourage, but we expect you to kind of try, then try again, and then if it doesn’t work out, then we’ll rotate you to something else. I think there’s more than enough work in this business for us to find a fit for you, and so, yeah, I think the best thing that you can do for yourself as you’re trying to adapt to
266 00:32:16.650 ⇒ 00:32:27.630 Robert Tseng: things that are going on here is to figure out, you know, take regular time to assess where you want to head, what you want to learn, you know, otherwise you will always kind of be
267 00:32:27.710 ⇒ 00:32:33.669 Robert Tseng: kind of slotted in wherever the business needs you, and I, you know, I think it’s a two-way conversation, like, I think…
268 00:32:33.680 ⇒ 00:32:44.870 Robert Tseng: We want to make sure that you’re excited about the things that you’re working on as well, and we can always kind of introduce you to other parts of the business as well. So, yeah, I think the only…
269 00:32:44.870 ⇒ 00:33:08.120 Robert Tseng: thing that is certain is that, you know, we’ve made a… we’ve made a bet on, kind of, the team that we have. We want you here, and so, if you’re here on this call, like, we obviously wanted you here, and we believe that you could thrive in a lot of different ways. For those of you that may not feel like you’re thriving, we don’t… maybe we… it’s just a matter of, like, finding… finding the right fit for you, or kind of trying it again. And, we wanted to just, kind of.
270 00:33:08.260 ⇒ 00:33:14.049 Robert Tseng: Yeah, just kind of, you know, just double down on, like, that this is kind of…
271 00:33:14.180 ⇒ 00:33:32.709 Robert Tseng: where… this is kind of that sweet spot that we’re in, where, you know, we’re about… we’re about 20 people, you still know everyone’s name, you may not spend time with everybody anymore, you may not be talking to Utam and I on a daily or weekly basis anymore, but we are still available, and so just kind of… just keep,
272 00:33:32.930 ⇒ 00:33:44.189 Robert Tseng: reach out to us whenever you need, we’re here to support you. And, yeah, I think that’s, kind of, the update that I have, for these past two weeks.
273 00:33:47.400 ⇒ 00:33:48.040 Mustafa Raja: Megan?
274 00:33:51.130 ⇒ 00:33:53.230 Robert Tseng: Cool. I’ll hand it off to you, Eliza.
275 00:33:54.080 ⇒ 00:34:00.280 Elizah Joy: Thanks, Robert. So, yeah, a few reminders from us, the ops team. So,
276 00:34:00.350 ⇒ 00:34:24.640 Elizah Joy: For, team members who want to submit their out-of-office requests, equipment, or tool access requests, you can, request that through, Slack, through Linear Asks. Just type slash end ask, and then we’ll make sure that we’ll process it for you as soon as we can. And whenever, you have also ops requests for us, we’ll also process that. I think that’s the, easiest way so that we can,
277 00:34:24.639 ⇒ 00:34:48.870 Elizah Joy: make sure that we cater to your needs, within the day. And then, just a quick reminder for RSL CSOs, we’ve already sent this message yesterday, in your respective Slack channels, but if you have the time, please make sure to submit the delivery process form by the end of your workday today. So yeah, we would really value your input to make sure that it
278 00:34:48.870 ⇒ 00:35:06.429 Elizah Joy: accurately reflects how, work actually flows across. And then for EPs, please make sure to update the operating app today as well, before you end your workday. And then for all our team members to please, submit your Clockify hours for this week.
279 00:35:06.450 ⇒ 00:35:16.509 Elizah Joy: And have that updated by 4 p.m. CST today. And then lastly is our AORs. So for, our team members who are
280 00:35:16.540 ⇒ 00:35:17.840 Elizah Joy: actively…
281 00:35:18.210 ⇒ 00:35:35.350 Elizah Joy: connected to our AOR, so if you’re the DRI for that AOR, please, next week, we can… if you can start updating the status for that for February, so that when we do our end-of-month review, we’re sure that it’s included during our end-of-month review.
282 00:35:46.070 ⇒ 00:35:47.970 Rico Rejoso: Alright, so, hey guys!
283 00:35:48.160 ⇒ 00:35:51.199 Rico Rejoso: Happy Friday. So, quick recruitment update.
284 00:35:51.340 ⇒ 00:35:54.819 Rico Rejoso: I also want to share our recruitment pipeline real quick.
285 00:35:55.070 ⇒ 00:36:09.060 Rico Rejoso: So, for those that has referred a friend or someone you know, this is the pipeline that they will go under, or will go through. First, we have the BF chat, or the application form, whether if it’s an outbound or inbound, candidate.
286 00:36:09.240 ⇒ 00:36:13.460 Rico Rejoso: Second would be an initial interview, and sec…
287 00:36:13.780 ⇒ 00:36:24.019 Rico Rejoso: Next would be the second interview, which is a role-focused interview, and lastly would be the final panel interview. Now, speaking of final interview, we have these three folks
288 00:36:24.440 ⇒ 00:36:35.149 Rico Rejoso: that are for final interview. We have Gadvin, Godbin Ikainu for Data Engineer Deepika Sedi for Senior Associate, and we have Advite.
289 00:36:35.430 ⇒ 00:36:45.979 Rico Rejoso: Anandakumur Manon for Product Analyst. And also, this… I mean, starting Monday, we… I mean, Kayla… Kayla Gallagher will be
290 00:36:46.200 ⇒ 00:36:49.439 Rico Rejoso: Coming in as our recruitment lead, so…
291 00:36:49.640 ⇒ 00:36:51.869 Rico Rejoso: Let’s give her a warm welcome by then, okay?
292 00:36:52.710 ⇒ 00:36:58.419 Rico Rejoso: Yep, just a quick update in regards to recruitment. Next up, we have the GTM updates for…
293 00:37:02.090 ⇒ 00:37:04.469 Luke Scorziell: My other meme is not showing up, I don’t know why.
294 00:37:04.780 ⇒ 00:37:08.210 Luke Scorziell: Anyways, okay.
295 00:37:08.970 ⇒ 00:37:10.489 Luke Scorziell: I kind of liked that mute.
296 00:37:11.830 ⇒ 00:37:22.109 Luke Scorziell: It’s okay. Yeah, good to chat with you all. I think, kind of echoing a lot of what Robert said, just…
297 00:37:22.360 ⇒ 00:37:24.529 Luke Scorziell: Yeah, I think on the edge to activation.
298 00:37:24.720 ⇒ 00:37:29.939 Luke Scorziell: deck, like, for me, that’s also been, like, a great proof of concept that, basically, I just sat down with
299 00:37:30.120 ⇒ 00:37:34.399 Luke Scorziell: Zorin, interviewed him, learned a bunch of stuff that, like.
300 00:37:34.690 ⇒ 00:37:48.170 Luke Scorziell: I don’t even fully know, what he was saying exactly. And then was able to put that into, like, a post, or a series of content posts, and then we turned it into a one-pager, and we turned it into a deck, and now we’ve…
301 00:37:48.510 ⇒ 00:37:53.670 Luke Scorziell: Yeah, sold one, and then we actually just got someone that filled out a form on our,
302 00:37:54.080 ⇒ 00:38:10.619 Luke Scorziell: website asking if we could help them with another one. And so that was, like, round… round one, and then round two is now, you know, and I’ll kind of get into this, but, like, I did some research through pulling… through Reddit threads, which, I don’t know, maybe if you click one more, my meme will show up.
303 00:38:11.790 ⇒ 00:38:12.740 Luke Scorziell: Maybe not.
304 00:38:12.950 ⇒ 00:38:15.939 Luke Scorziell: If you, like, if you… oh, bang, that’s so tough.
305 00:38:16.070 ⇒ 00:38:28.050 Luke Scorziell: But kind of was able to identify, like, what the, like, problem language is, that people are using to talk about this service, and now we’re launching a second campaign
306 00:38:28.350 ⇒ 00:38:32.760 Luke Scorziell: Of content, and then we can kind of focus the sales in more on
307 00:38:32.870 ⇒ 00:38:43.620 Luke Scorziell: specific titles that we’re seeing. So Robert found a couple companies that have, like, productized what we’re selling, and that’s given us fuel for the messaging. So all that to kind of say,
308 00:38:43.830 ⇒ 00:38:52.070 Luke Scorziell: I think this is, like, a motion that we can do a lot with different service providers that we have here at Brainforge, so if you’re working on something that
309 00:38:52.510 ⇒ 00:39:01.169 Luke Scorziell: Like, Pranav and I, sat down and came up with a service for agencies, and now I’m out pitching that.
310 00:39:01.480 ⇒ 00:39:02.910 Luke Scorziell: To people, and…
311 00:39:03.060 ⇒ 00:39:11.110 Luke Scorziell: And selling it, and then, De Milata and I talked about the DBT audit, so we then created a whole content series based on that.
312 00:39:11.350 ⇒ 00:39:13.009 Luke Scorziell: So I just would love to…
313 00:39:13.230 ⇒ 00:39:16.870 Luke Scorziell: You know, continue to talk with, anyone on delivery who
314 00:39:16.980 ⇒ 00:39:20.359 Luke Scorziell: Like, has ideas for what we can launch,
315 00:39:20.490 ⇒ 00:39:31.250 Luke Scorziell: Because I think this is, like, becoming a pretty repeatable motion. So that, and then kind of leading into this, is just as we’re thinking about how we solve things like the edge to activation.
316 00:39:31.370 ⇒ 00:39:35.880 Luke Scorziell: You know, we have this, this Drake meme,
317 00:39:36.110 ⇒ 00:39:47.799 Luke Scorziell: And it’s probably oversimplification of, you know, we build AI agents and custom data infrastructure. But just as, like, when you’re talking to the people that are buying, they’re less interested, I think, in…
318 00:39:48.810 ⇒ 00:39:57.000 Luke Scorziell: like, the features that we have, and they’re more interested in, like, their own problems and what they’re experiencing on a day-to-day basis. And so,
319 00:39:57.160 ⇒ 00:40:02.390 Luke Scorziell: With this example, it’s like, we fix your broken attribution, so you stop wasting $100,000 on campaigns that don’t work.
320 00:40:02.540 ⇒ 00:40:08.599 Luke Scorziell: I don’t really care how that happens, honestly, if I’m a growth marketer, I just care that you can do that, and…
321 00:40:08.800 ⇒ 00:40:19.109 Luke Scorziell: like, if you make me that promise, then I can understand later on, oh, this is how they’re doing it. But I’m more interested in, like, you solving the problems that I have. So a framework here that
322 00:40:19.450 ⇒ 00:40:26.349 Luke Scorziell: I would kind of encourage, yeah, just everyone on this call, and then I’ll probably call in a couple people, too.
323 00:40:27.020 ⇒ 00:40:43.190 Luke Scorziell: in a second, but just as you identify, like, the problem that someone is experiencing, so whether that’s frustration, stress, fear, connected to a business impact, so there’s wasted money, lost time, they don’t really know what kind of decision they’re making.
324 00:40:43.490 ⇒ 00:40:47.070 Luke Scorziell: And then position our solution as…
325 00:40:47.250 ⇒ 00:40:53.019 Luke Scorziell: a solution, not just to the business problem, but also to their emotional issue. So, like.
326 00:40:53.250 ⇒ 00:41:03.289 Luke Scorziell: with the edge activation stuff, like, after iOS 14 launched in 2020, it, like, killed a bunch of tracking features, and so that’s when, we had
327 00:41:04.010 ⇒ 00:41:14.150 Luke Scorziell: like, attribution dropped from essentially, like, 100% down to, like, 70% or so percent. And so then, you know, if you’re a marketer in that
328 00:41:14.320 ⇒ 00:41:19.000 Luke Scorziell: That means that you have no clue, like, which campaigns to kill and which not to kill.
329 00:41:19.110 ⇒ 00:41:27.040 Luke Scorziell: And then also there’s, like, ways that your job, obviously, is, like, tied to that, and your performance. And so then.
330 00:41:27.550 ⇒ 00:41:40.430 Luke Scorziell: they’re not just looking to solve a problem for the business, but they’re also looking to solve their own problem for themselves, of how do I ensure that, like, I have job stability, and I’m able to see,
331 00:41:41.060 ⇒ 00:41:50.800 Luke Scorziell: Yeah, to have more confidence in decisions that I’m making. So then, you kind of position Brainforge, then, as the hero to their, problem story, which is, like.
332 00:41:51.200 ⇒ 00:41:57.250 Luke Scorziell: you know, we can set up a solution for you that’ll give you, like, quick clarity and confidence within a few weeks.
333 00:41:57.400 ⇒ 00:42:03.599 Luke Scorziell: And then again, it’s like, I don’t care… they don’t care how that happens, unless they’re, like, really technical. What they care more about is that you’re saying.
334 00:42:03.950 ⇒ 00:42:10.239 Luke Scorziell: this, like, thing that everyone has struggled with for the last 6 years, like, we can help you solve.
335 00:42:10.360 ⇒ 00:42:16.290 Luke Scorziell: So, yeah, I guess, I don’t know. I’d be curious if,
336 00:42:16.590 ⇒ 00:42:22.120 Luke Scorziell: Maybe just in, like, 30 seconds, if people have, like, pain points that they’ve heard this past week.
337 00:42:22.250 ⇒ 00:42:28.739 Luke Scorziell: From clients, or just, like, if this sparks any ideas, just on the delivery side.
338 00:42:28.920 ⇒ 00:42:32.009 Luke Scorziell: And oh.
339 00:42:32.250 ⇒ 00:42:38.800 Luke Scorziell: If no one answers, I’ll just start calling on people. I might not call on the right people, so… would… yeah, would love a few.
340 00:42:39.360 ⇒ 00:42:41.020 Luke Scorziell: And throw some ideas my way.
341 00:42:50.780 ⇒ 00:42:58.620 Luke Scorziell: I would like to hear from Dave Milate, since he won the… We, the quiz.
342 00:43:04.190 ⇒ 00:43:07.810 Demilade Agboola: I mean, I mean, this week… has been…
343 00:43:09.270 ⇒ 00:43:11.969 Demilade Agboola: I wouldn’t necessarily say a barefoot contested.
344 00:43:14.130 ⇒ 00:43:21.700 Demilade Agboola: Alexa, like, this week hasn’t necessarily been a week of a lot of, like, pain points right now. I will say that…
345 00:43:22.410 ⇒ 00:43:27.850 Demilade Agboola: In terms of, like, the pinpoints that I can easily, like, think of.
346 00:43:28.510 ⇒ 00:43:33.509 Demilade Agboola: It probably will just be around things like, you know, people wanting their data.
347 00:43:33.670 ⇒ 00:43:37.789 Demilade Agboola: Like, as soon as possible, because they’re currently flying blind.
348 00:43:37.950 ⇒ 00:43:43.269 Demilade Agboola: So for, like, default, that’s currently what, like, a lot of, their issues are.
349 00:43:44.990 ⇒ 00:43:49.160 Demilade Agboola: On a client like… Magic Spoon, they…
350 00:43:49.470 ⇒ 00:43:54.310 Demilade Agboola: Aren’t necessarily flying blind, but they just need our expertise to be able to handle certain things.
351 00:43:54.500 ⇒ 00:43:59.959 Demilade Agboola: So, in terms of, like, ingesting the data and just being able to…
352 00:44:00.560 ⇒ 00:44:04.269 Demilade Agboola: Model the data so that they can utilize it for…
353 00:44:07.550 ⇒ 00:44:12.989 Demilade Agboola: Comparisons and just, like, better decisions amongst the different stakeholders.
354 00:44:13.210 ⇒ 00:44:16.430 Demilade Agboola: I think that’s kind of, like, what… what they…
355 00:44:16.640 ⇒ 00:44:24.320 Demilade Agboola: they are facing, like, right now, for, like, both clients that I’m on. And Aiden is just basically, like, full-on migration and getting things over at the line.
356 00:44:25.430 ⇒ 00:44:26.220 Luke Scorziell: Yeah.
357 00:44:26.220 ⇒ 00:44:26.640 Demilade Agboola: Yeah.
358 00:44:27.420 ⇒ 00:44:46.239 Luke Scorziell: No, and I was curious, too, then, with, like, Greg and Mustafa, and yeah, feel free to, chime in too, Demi, of, like, what… what are… if you’re thinking of, like, the business outcomes and human problems that people… the, like, Eden is… would be struggling with, with, like, the migration, like, what is coming… like, which problem are we solving?
359 00:44:46.360 ⇒ 00:44:49.829 Luke Scorziell: For them, and, like, what are some of the emotions that the stakeholders are experiencing?
360 00:44:51.710 ⇒ 00:45:00.290 Mustafa Raja: I think… I think one plus point that, Pomni does bring on the table is the, is the AI assistant that’s built on top of the data model.
361 00:45:00.290 ⇒ 00:45:12.660 Mustafa Raja: So, Eden, Eden folk would be able to use that, and really talk to their data, and Omni, Omni’s AI model that they, they’re using. It’s really good at answering.
362 00:45:13.200 ⇒ 00:45:14.829 Mustafa Raja: A lot of these questions.
363 00:45:16.980 ⇒ 00:45:18.599 Greg Stoutenburg: Yeah, yeah, it’s.
364 00:45:18.600 ⇒ 00:45:20.239 Mustafa Raja: It doesn’t have… yeah.
365 00:45:21.180 ⇒ 00:45:29.279 Greg Stoutenburg: Yeah, it’s really just data democratization. The user wants to be able to access the data that they want, and understand
366 00:45:29.360 ⇒ 00:45:44.070 Greg Stoutenburg: what some dashboard means, and get some business question answered. And so Omni’s just gonna make that easier than Tableau, because they don’t have to request a custom dashboard or a custom chart, they can just, you know, type something in. They can just type in their question and get it answered.
367 00:45:44.070 ⇒ 00:45:50.540 Greg Stoutenburg: from, from the data sources that are plugged into Omni. So, I mean, I think that’s… that’s the human problem that it’s solving, is just access.
368 00:45:51.910 ⇒ 00:45:55.930 Luke Scorziell: Yeah, and if you look, you know, kind of extrapolating that then is…
369 00:45:56.620 ⇒ 00:45:59.090 Luke Scorziell: What is the human context of, like.
370 00:45:59.260 ⇒ 00:46:10.949 Luke Scorziell: I have to submit a request to build a dashboard. That takes several days. By the time we get the dashboard built, like, the insight that I needed might even be old. We might be behind the competition. And now, like, I’m sitting in my job, like.
371 00:46:11.070 ⇒ 00:46:20.479 Luke Scorziell: I spent money on this data analyst, now I have to go and request another request after my request, and, like, versus just if I can chat with Blobby, I can immediately get answers.
372 00:46:21.280 ⇒ 00:46:24.489 Luke Scorziell: So that’s kind of how I would encourage y’all to think about it, too, of, like.
373 00:46:24.700 ⇒ 00:46:31.730 Luke Scorziell: It is… we’re doing, like, data ingestion, and we’re giving insights and all this stuff, but insights means, you know.
374 00:46:31.990 ⇒ 00:46:37.550 Luke Scorziell: It’s making someone’s life easier. So, yeah, just,
375 00:46:37.680 ⇒ 00:46:41.749 Luke Scorziell: some sales coaching and whatnot, but yeah, I would love to
376 00:46:42.100 ⇒ 00:46:46.749 Luke Scorziell: hear more from y’all, if you want to update me on Slack, but otherwise, I’ll,
377 00:46:47.280 ⇒ 00:46:49.939 Luke Scorziell: I’ll pass it along, thank you for entertaining me.
378 00:46:50.530 ⇒ 00:46:52.190 Luke Scorziell: on the responses.
379 00:46:54.590 ⇒ 00:46:55.959 Mustafa Raja: So, any shout-outs?
380 00:46:56.100 ⇒ 00:46:56.980 Mustafa Raja: Anyone?
381 00:47:01.960 ⇒ 00:47:05.759 Demilade Agboola: I think I just want to shout out Mustafa for his work on Eden this week.
382 00:47:06.080 ⇒ 00:47:15.380 Demilade Agboola: And he’s done, like, a natural, like, an amazing job, and being able to, migrate a lot of dashboards and build out the topics. It’s fantastic work.
383 00:47:17.510 ⇒ 00:47:17.880 Mustafa Raja: Thanks.
384 00:47:17.880 ⇒ 00:47:19.880 Greg Stoutenburg: Yeah, same. Shoutouts to you, man.
385 00:47:22.830 ⇒ 00:47:23.649 Mustafa Raja: Thank you.
386 00:47:28.970 ⇒ 00:47:32.590 Robert Tseng: Awash isn’t here, but I would shout out Awaish,
387 00:47:32.960 ⇒ 00:47:38.160 Robert Tseng: I think there’s just been a lot of things that are kind of all coming together.
388 00:47:38.280 ⇒ 00:47:44.990 Robert Tseng: I mean, he… I’ve… I haven’t worked so closely with him in a while, but I’ve had to step into the weeds a lot more this past week, and…
389 00:47:45.420 ⇒ 00:47:49.689 Robert Tseng: He’s always been… he’s always reliable to… to kind of…
390 00:47:51.000 ⇒ 00:47:53.930 Robert Tseng: get to the bottom of something very quickly, so…
391 00:47:57.040 ⇒ 00:48:04.159 Pranav Narahari: I’ll do a quick shout-out, too, to Demi and Greg. We had a good conversation in our, like, CSO meeting on Wednesday, I believe.
392 00:48:04.280 ⇒ 00:48:06.419 Pranav Narahari: Really helped with Lilo.
393 00:48:17.550 ⇒ 00:48:18.979 Mustafa Raja: Do we have any more shoutouts?
394 00:48:19.980 ⇒ 00:48:23.899 Demilade Agboola: Also, Alexis, shout out Brile, he’s done an amazing job with, like.
395 00:48:24.240 ⇒ 00:48:28.309 Demilade Agboola: Helping with documentation and just, like, preparing
396 00:48:28.600 ⇒ 00:48:31.600 Demilade Agboola: Like, slides for meetings and stuff, it’s been very helpful.
397 00:48:36.330 ⇒ 00:48:43.240 Robert Tseng: Yeah, I mean, I would double… I would echo that, too. I mean, this is week two for you, and you’re giving me more…
398 00:48:43.620 ⇒ 00:48:59.790 Robert Tseng: then I… I mean, yeah, just helping me get ready for Element. With Tom being out the past couple days, I’ve had to, like, jump into things that I don’t normally jump into, and I feel like just already knows, like, what I need to be ready for that. So, it’s… it’s very impressive, yeah.
399 00:49:12.210 ⇒ 00:49:13.700 Mustafa Raja: Okay, do you have anyone else?
400 00:49:17.590 ⇒ 00:49:27.360 Luke Scorziell: Yeah, I think, shout out again to Ryan and Hannah. This is the second week that we’ve kind of kept up the pace of content,
401 00:49:28.070 ⇒ 00:49:35.400 Luke Scorziell: Going with essentially two posts a day, and then we added posts from my account, too, and we’re doing engagements, and…
402 00:49:35.680 ⇒ 00:49:39.210 Luke Scorziell: We’ve got the lead magnet system.
403 00:49:39.570 ⇒ 00:49:47.400 Luke Scorziell: somewhat together. So, yeah, I think just, like, it’s given us a lot more data on the go-to-market side to kind of experiment with.
404 00:49:48.840 ⇒ 00:50:04.639 Luke Scorziell: how we’re doing, and then, yeah, I guess thanks also to the AI team, for helping us drive forward, some of that stuff. So, yeah, I think it’s been exciting to see just how we’ve been able to kind of build out the content system.
405 00:50:05.380 ⇒ 00:50:08.339 Luke Scorziell: From there, too. So, yeah, great job.
406 00:50:14.450 ⇒ 00:50:15.290 Mustafa Raja: Anyone else?
407 00:50:20.810 ⇒ 00:50:21.700 Mustafa Raja: Nope.
408 00:50:22.120 ⇒ 00:50:22.960 Mustafa Raja: Okay.
409 00:50:23.900 ⇒ 00:50:25.100 Mustafa Raja: Any questions?
410 00:50:29.310 ⇒ 00:50:37.159 Robert Tseng: I’ll say something here. I know, like, we’re… I mean, otherwise, we would end the call early. I’ll probably just stay on till the end of the hour,
411 00:50:37.750 ⇒ 00:50:41.450 Robert Tseng: Yeah, I think I… I mean, I’m usually kind of in a…
412 00:50:42.360 ⇒ 00:51:02.030 Robert Tseng: kind of rushing around, jumping around meetings, but want to kind of be open to answer any questions that would be helpful for the team overall. I know, like I mentioned, there are a lot of things that continue to change, so I don’t… I don’t think there’s… it’s always fair to ask kind of how changes are impacting you, or kind of how we’re thinking about something.
413 00:51:02.330 ⇒ 00:51:13.000 Robert Tseng: We may not have all the answers now, but, like, I hope that, you know, we can at least keep the conversation going, and if I don’t have the answer, I’ll follow up with you after this call.
414 00:51:13.820 ⇒ 00:51:23.610 Robert Tseng: So, if no questions, you don’t want to stay on, feel free to drop off, but I’ll be here for another, probably, 10 minutes, just to…
415 00:51:23.880 ⇒ 00:51:26.310 Robert Tseng: Kind of see if anybody wants to linger around.
416 00:51:35.020 ⇒ 00:51:36.260 Mustafa Raja: Okay, thank you.
417 00:51:36.290 ⇒ 00:51:36.840 Ryan Brosas: Thank you.
418 00:51:36.840 ⇒ 00:51:40.269 Greg Stoutenburg: I’m gonna drop more Omni stuff. Have a great weekend, everybody.
419 00:51:40.460 ⇒ 00:51:43.280 Mustafa Raja: Yep, they all… Bye.
420 00:51:54.410 ⇒ 00:51:58.920 Hannah Wang: Everyone likes to drop, no one likes to… Stay.
421 00:52:00.370 ⇒ 00:52:00.990 Robert Tseng: Yeah.
422 00:52:02.330 ⇒ 00:52:05.080 Hannah Wang: You can stop the recording. Why am I the host?