1
00:00:00,200 --> 00:00:03,360
Speaker 1: I got a job interview, but too bad, my resume

2
00:00:03,520 --> 00:00:04,160
Speaker 1: is complete.

3
00:00:04,320 --> 00:00:05,000
Speaker 2: Beloney.

4
00:00:05,240 --> 00:00:08,840
Speaker 3: I love telling people. I love lying to potential employers.

5
00:00:08,840 --> 00:00:09,280
Speaker 2: You know what I mean?

6
00:00:09,320 --> 00:00:11,600
Speaker 3: Yeah, I have Those are the people you should lie to.

7
00:00:11,800 --> 00:00:14,640
Speaker 3: I have twenty years of chef experience. I have twenty

8
00:00:14,720 --> 00:00:18,160
Speaker 3: years of lying about my chef experience. Ooh yeah, I

9
00:00:18,160 --> 00:00:21,840
Speaker 3: think one of the best one of the what are

10
00:00:21,880 --> 00:00:24,200
Speaker 3: the I think one of the best skills you can

11
00:00:24,239 --> 00:00:27,360
Speaker 3: have actually in life is just being an excellent liar.

12
00:00:27,440 --> 00:00:29,639
Speaker 1: Oh yeah, I think of Bernie made off. Oh you know,

13
00:00:29,720 --> 00:00:31,400
Speaker 1: if he was a better liar, maybe he could have

14
00:00:31,440 --> 00:00:31,840
Speaker 1: made off.

15
00:00:31,760 --> 00:00:32,960
Speaker 2: With more money. He could have gotten away with it.

16
00:00:33,000 --> 00:00:34,040
Speaker 2: But think of.

17
00:00:35,760 --> 00:00:38,279
Speaker 1: The guy in Talented Mister Ripley killed two people and

18
00:00:38,360 --> 00:00:38,880
Speaker 1: made money.

19
00:00:38,920 --> 00:00:39,760
Speaker 2: Wow, the dream?

20
00:00:39,880 --> 00:00:42,880
Speaker 3: What a successful What a successful entrepreneur?

21
00:00:43,040 --> 00:00:45,000
Speaker 2: Yeah? Really, that's what you gotta do. That's what you

22
00:00:45,000 --> 00:00:48,400
Speaker 2: gotta do. Lie, children, This is really great. Currently, this

23
00:00:48,640 --> 00:00:52,040
Speaker 2: this is actually what I like. I can't wait to read.

24
00:00:52,760 --> 00:00:56,320
Speaker 1: Yes, it's so good. Okay, Currently I am a software engineer.

25
00:00:56,400 --> 00:00:58,840
Speaker 1: After getting turned away multiple times, I decided to do

26
00:00:58,960 --> 00:01:02,600
Speaker 1: an experiment to see if recruiters actually read resumes.

27
00:01:03,960 --> 00:01:04,800
Speaker 2: Hint they don't.

28
00:01:05,040 --> 00:01:07,680
Speaker 1: Originally, this resume was fairly standard, and I made up

29
00:01:07,680 --> 00:01:10,520
Speaker 1: some bullet points that sound real, albeit it was mostly

30
00:01:10,600 --> 00:01:13,920
Speaker 1: fluff and buzzwords. The only strange part was that all

31
00:01:14,000 --> 00:01:16,880
Speaker 1: of the hyperlinks rickroll you, so it's like, oh, I

32
00:01:16,920 --> 00:01:18,840
Speaker 1: created this and it's a link and it's just the.

33
00:01:20,640 --> 00:01:20,959
Speaker 2: Yeah.

34
00:01:21,000 --> 00:01:24,600
Speaker 1: With that resume, I got a ninety percent callback rate

35
00:01:24,760 --> 00:01:28,679
Speaker 1: from companies including Notion, apartment List, quiz lit out School,

36
00:01:28,760 --> 00:01:31,800
Speaker 1: Live Ramp, Airbnb, and blend Fair. Maybe they just don't

37
00:01:31,800 --> 00:01:34,000
Speaker 1: click any links, but read the bullets and saw what

38
00:01:34,040 --> 00:01:37,360
Speaker 1: they linked. So I changed some bullets and adjusted my summary.

39
00:01:37,959 --> 00:01:42,480
Speaker 1: Here's a little snippet experience software engineer with a background

40
00:01:42,480 --> 00:01:45,640
Speaker 1: of building scalable systems in the fintech, health, and adult

41
00:01:45,760 --> 00:01:50,800
Speaker 1: entertainment industries. Team coffee Maker ensured team of six was

42
00:01:50,840 --> 00:01:56,160
Speaker 1: fully caffeinated with Antarctic and beans ground to fourteen Nanimeter

43
00:01:56,240 --> 00:02:01,080
Speaker 1: particles connected with Reid Hoffman on LinkedIn. Yes organized team

44
00:02:01,160 --> 00:02:04,680
Speaker 1: bonding through company potato sack race, resulting in increased team

45
00:02:04,760 --> 00:02:11,880
Speaker 1: bonding and cohesity. Spearheaded microsofters for Trump Company rally spread

46
00:02:12,080 --> 00:02:16,680
Speaker 1: Herpe's STD to sixty percent of intern team, and my

47
00:02:16,800 --> 00:02:21,000
Speaker 1: personal favorite, phive Beta PI fraternity record for most vodka

48
00:02:21,040 --> 00:02:21,919
Speaker 1: shots in one night.

49
00:02:22,080 --> 00:02:23,239
Speaker 2: Oh my god.

50
00:02:23,639 --> 00:02:26,679
Speaker 1: So with these changes, no way, I'm getting a callback

51
00:02:26,720 --> 00:02:28,120
Speaker 1: with this right wrong?

52
00:02:28,440 --> 00:02:29,600
Speaker 2: No again?

53
00:02:29,880 --> 00:02:36,960
Speaker 1: Nine callback rate companies included Reddits, Airtable, Dropbox, Bolts, robinhood, MUCKs, Saw,

54
00:02:37,160 --> 00:02:40,760
Speaker 1: grub Hub, and scale Ai. They actually read it with that,

55
00:02:40,800 --> 00:02:43,080
Speaker 1: I made the shown resume and began applying. So this

56
00:02:43,120 --> 00:02:44,880
Speaker 1: is the resume they attached to. The attached the language

57
00:02:44,880 --> 00:02:48,640
Speaker 1: grade at Lassian responded within an hour. Others that fell

58
00:02:48,680 --> 00:02:52,560
Speaker 1: for this resume included watt Hub, Gethub, Zinga, and Karta.

59
00:02:52,680 --> 00:02:55,600
Speaker 1: My takeaways from this experiment is that applying for software

60
00:02:55,600 --> 00:02:58,799
Speaker 1: engineering positions is very similar to the golden rule of Tinder.

61
00:02:58,960 --> 00:03:03,280
Speaker 1: Work at Fang, which is Facebook, Apple, Amazon, Netflix, Google,

62
00:03:03,400 --> 00:03:06,840
Speaker 1: and number two don't not work at fang. And if

63
00:03:06,840 --> 00:03:09,760
Speaker 1: you don't believe me, you can copy the resume, change

64
00:03:09,840 --> 00:03:12,240
Speaker 1: up the names, days, et cetera, and try it for yourself.

65
00:03:12,320 --> 00:03:16,320
Speaker 1: We'll update this when more companies reply back. Wow, there's

66
00:03:16,360 --> 00:03:20,640
Speaker 1: an album with more more of these company replies wow,

67
00:03:21,200 --> 00:03:24,280
Speaker 1: and let's see yeah from both. Hi, Angelinette, thanks for

68
00:03:24,320 --> 00:03:26,960
Speaker 1: sharing the information and I definitely will share it with

69
00:03:27,000 --> 00:03:30,640
Speaker 1: the interviewing panel if you decide you'd like to continue

70
00:03:30,680 --> 00:03:33,120
Speaker 1: the process with both super excited to chat with you

71
00:03:33,160 --> 00:03:36,760
Speaker 1: on Thursday. Wow, and there's a bunch of these Wow okay,

72
00:03:36,760 --> 00:03:39,440
Speaker 1: but it's not over. But first, what do you think

73
00:03:39,440 --> 00:03:41,920
Speaker 1: about that process?

74
00:03:42,040 --> 00:03:46,320
Speaker 2: Honestly, just I think it's funny. I am shocked.

75
00:03:46,520 --> 00:03:49,200
Speaker 3: I'm pretty I'm I knew that a lot of people wouldn't,

76
00:03:49,280 --> 00:03:52,200
Speaker 3: but I'm shocked at how many companies don't.

77
00:03:52,280 --> 00:03:53,880
Speaker 1: Well because a lot of people are just looking like, oh,

78
00:03:53,960 --> 00:03:56,440
Speaker 1: they worked at this, this, and this are the bullets.

79
00:03:56,640 --> 00:03:58,160
Speaker 3: Which they probably say in the email, like oh I

80
00:03:58,160 --> 00:03:59,360
Speaker 3: have like five years of experience, Paul.

81
00:03:59,520 --> 00:04:02,800
Speaker 1: They're like okay, cool, yeah, okay, but there's more. Since

82
00:04:02,840 --> 00:04:06,800
Speaker 1: my last posts, I've gotten way more callbacks, almost too many.

83
00:04:06,840 --> 00:04:08,800
Speaker 1: But I decided to take a call with GitHub, a

84
00:04:08,840 --> 00:04:11,440
Speaker 1: company familiar to US software engineers and one that is

85
00:04:11,480 --> 00:04:12,400
Speaker 1: owned by Microsoft.

86
00:04:12,480 --> 00:04:13,600
Speaker 2: How could I say no to that?

87
00:04:13,720 --> 00:04:15,760
Speaker 1: Unfortunately I could not record the audio of the call

88
00:04:15,800 --> 00:04:17,960
Speaker 1: because California is a two party consent state. But some

89
00:04:18,040 --> 00:04:21,200
Speaker 1: things I told the recruiter. Rebuilt news feed at Instagram

90
00:04:21,279 --> 00:04:24,919
Speaker 1: using React and implemented blockchain plus ai, which you cannot do.

91
00:04:26,240 --> 00:04:30,760
Speaker 1: Built our own flavor of Kafka called m I a

92
00:04:31,040 --> 00:04:37,159
Speaker 1: Khalifa Khalia. The end result was getting a call schedule

93
00:04:37,200 --> 00:04:38,920
Speaker 1: with the director of engineering at GitHub.

94
00:04:39,120 --> 00:04:42,400
Speaker 3: Oh that's like, that's like, uh, that's like talking to

95
00:04:42,480 --> 00:04:46,599
Speaker 3: the to like the head food like designer at McDonald's,

96
00:04:47,000 --> 00:04:49,640
Speaker 3: like the head of engineering at like the engineering company.

97
00:04:49,720 --> 00:04:52,200
Speaker 2: Yeah, dude, this is this is Oh my god. Oh

98
00:04:52,279 --> 00:04:55,440
Speaker 2: he's going straight to the top. Yeah.

99
00:04:55,520 --> 00:04:57,920
Speaker 1: Now, I fully expect this call to be canceled once

100
00:04:58,000 --> 00:05:01,280
Speaker 1: the director or someone technical reads the resume and has

101
00:05:01,360 --> 00:05:03,680
Speaker 1: recruiting notes. But I've been surprised more than once to

102
00:05:03,760 --> 00:05:06,359
Speaker 1: this experiment. So fingers crossed and there is another update.

103
00:05:06,440 --> 00:05:09,200
Speaker 1: Oh my goodness, nothing too crazy. The director knew it

104
00:05:09,200 --> 00:05:11,440
Speaker 1: was a joke. He said he liked his social engineering

105
00:05:11,480 --> 00:05:13,720
Speaker 1: aspect and asked if I wanted to interview with him

106
00:05:13,800 --> 00:05:18,280
Speaker 1: on the security side. Wow, this is how you get

107
00:05:18,279 --> 00:05:22,719
Speaker 1: a job, folks, truly is wow. I have zero experience

108
00:05:22,760 --> 00:05:25,880
Speaker 1: on the security side, and actually interviewing with them would

109
00:05:25,920 --> 00:05:28,800
Speaker 1: mean I'd have to reveal my identity, so I opted

110
00:05:28,800 --> 00:05:32,159
Speaker 1: not to do so. And then another company offered them

111
00:05:32,320 --> 00:05:34,720
Speaker 1: him a job, but opted not to take it because

112
00:05:34,880 --> 00:05:36,440
Speaker 1: I didn't want to reveal the identity.

113
00:05:36,560 --> 00:05:37,160
Speaker 2: Wow.

114
00:05:37,440 --> 00:05:42,120
Speaker 1: Okay, so that is how this person got two job offers.

115
00:05:42,320 --> 00:05:44,960
Speaker 1: So if you're ever struggling with getting a job, just lie,

116
00:05:45,120 --> 00:05:48,240
Speaker 1: just lie, just lie. But John, what do you think

117
00:05:48,320 --> 00:05:50,880
Speaker 1: is this like an a whole move or is this

118
00:05:51,160 --> 00:05:53,640
Speaker 1: like a superhero amazing move.

119
00:05:53,839 --> 00:05:57,839
Speaker 3: I would say superhero amazing move. And I'm curious in

120
00:05:57,920 --> 00:06:00,760
Speaker 3: the comments below also if from anyone who's a recruiter

121
00:06:00,960 --> 00:06:03,640
Speaker 3: that is watching, like yeah, I feel like they'll probably

122
00:06:03,640 --> 00:06:05,840
Speaker 3: think OPI as the a hole, but like please, yeah,

123
00:06:05,920 --> 00:06:08,360
Speaker 3: I'm curious, especially recruiters. Let let me know. But I

124
00:06:08,400 --> 00:06:10,520
Speaker 3: think two interesting things come out of this. Yeah that

125
00:06:10,680 --> 00:06:12,679
Speaker 3: like I feel like our audience can actually take away

126
00:06:12,760 --> 00:06:15,599
Speaker 3: one if you do something like so unique and different,

127
00:06:15,800 --> 00:06:18,520
Speaker 3: like even like something like it was ultimately a joke,

128
00:06:18,560 --> 00:06:20,400
Speaker 3: and like it was ultimately a joke, and like OPI,

129
00:06:20,600 --> 00:06:22,960
Speaker 3: it seems was not gonna actually take the jobs on this,

130
00:06:23,080 --> 00:06:25,440
Speaker 3: So it kind of worked in that regard of like

131
00:06:25,520 --> 00:06:28,360
Speaker 3: doing something so unique that they actually stood out and

132
00:06:28,440 --> 00:06:31,120
Speaker 3: like we're considered. And then the second thing I think

133
00:06:31,200 --> 00:06:33,760
Speaker 3: is like nobody cares about a resume. What I think

134
00:06:33,800 --> 00:06:35,520
Speaker 3: I think both of us have done this in our

135
00:06:35,600 --> 00:06:37,880
Speaker 3: like life and careers. I would I've never sent a

136
00:06:37,920 --> 00:06:39,600
Speaker 3: resume that to god get it, like a gig or

137
00:06:39,600 --> 00:06:40,360
Speaker 3: a job or anything.

138
00:06:40,400 --> 00:06:41,320
Speaker 2: Oh never, I ever.

139
00:06:41,480 --> 00:06:43,960
Speaker 3: I always like, I like look at what they're doing

140
00:06:44,000 --> 00:06:45,920
Speaker 3: and like like, for instance, if they're like a they're like, oh,

141
00:06:45,920 --> 00:06:47,839
Speaker 3: we're looking looking for a video person, or they have

142
00:06:47,880 --> 00:06:49,599
Speaker 3: like a video that's not so great, I'll do my

143
00:06:49,680 --> 00:06:51,960
Speaker 3: own version of it and then send it to them

144
00:06:51,960 --> 00:06:52,240
Speaker 3: and be.

145
00:06:52,240 --> 00:06:54,080
Speaker 2: Like, hey, like immediately offering value.

146
00:06:54,160 --> 00:06:56,599
Speaker 3: Immediately offering value, And I'm like, hey, you can literally

147
00:06:56,640 --> 00:06:58,800
Speaker 3: like post this and like do what you want. I

148
00:06:58,800 --> 00:07:01,240
Speaker 3: I thought, I did what I believe is an improvement.

149
00:07:01,400 --> 00:07:04,560
Speaker 3: Here is something for you, and that has always gotten

150
00:07:04,560 --> 00:07:07,800
Speaker 3: a conversation started, and literally never with a resume.

151
00:07:08,000 --> 00:07:08,200
Speaker 2: Yeah.

152
00:07:08,200 --> 00:07:11,360
Speaker 1: Well, I was just talking to a software guy yesterday

153
00:07:11,600 --> 00:07:13,840
Speaker 1: and one of the ways he got his job was

154
00:07:14,000 --> 00:07:16,800
Speaker 1: basically found a company you wanted to work in and said, oh,

155
00:07:16,960 --> 00:07:18,640
Speaker 1: this is something I believe that you could be improved.

156
00:07:18,720 --> 00:07:20,800
Speaker 1: Or I did some analysis on some of the This

157
00:07:20,880 --> 00:07:22,600
Speaker 1: was a VC company. I had some analysis on the

158
00:07:22,600 --> 00:07:24,920
Speaker 1: portfolio of companies. I just send them for free, like, hey,

159
00:07:24,920 --> 00:07:26,840
Speaker 1: here's my analysis. You probably all know this, but I

160
00:07:26,880 --> 00:07:27,679
Speaker 1: thought it was interesting.

161
00:07:27,760 --> 00:07:30,080
Speaker 2: Yeah, got a job. So that's how we hire too.

162
00:07:30,200 --> 00:07:32,960
Speaker 3: Yeah, we're like like I don't care if your resume

163
00:07:33,080 --> 00:07:34,760
Speaker 3: isn't like squeaky perfect clean.

164
00:07:34,960 --> 00:07:35,960
Speaker 2: Just send us what you can do.

165
00:07:36,120 --> 00:07:37,880
Speaker 1: Yeah, but if it's good, I mean, if you could

166
00:07:37,880 --> 00:07:39,240
Speaker 1: do the thing, that's really what matters.

167
00:07:39,280 --> 00:07:41,000
Speaker 2: We don't care about that, metagree, We just want it.

168
00:07:41,120 --> 00:07:43,280
Speaker 1: We just want people to be hungry and be able

169
00:07:43,320 --> 00:07:45,840
Speaker 1: to do, oh, the thing. So you want to apply

170
00:07:45,920 --> 00:07:49,240
Speaker 1: to Okay, I want to work here. Just reach out

171
00:07:49,240 --> 00:07:51,440
Speaker 1: and show us that you're hungry for apples.

172
00:07:51,480 --> 00:07:53,600
Speaker 3: Yeah, show us what you can do, show me what

173
00:07:53,640 --> 00:07:54,000
Speaker 3: you've got