Full Transcript

·YouTLDR

How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps

1:38:211,434 summary words · ~7 min readEnglishBy Lenny's PodcastTranscribed Aug 8, 2026
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Summary

Building viral consumer mobile apps requires finding latent human demand, targeting teen demographics where invitation rates are exponentially higher, and optimizing time-to-value down to seconds.

Understanding these growth mechanics allows founders to systematically engineer virality and achieve breakout distribution without relying on expensive paid ad acquisition.

Section summaries

0:00-4:56

Intro & The Latent Demand of Politify

optional

Host Lenny Rachitsky introduces serial consumer entrepreneur Nikita Bier, famous for building and selling viral apps TBH to Facebook and Gas to Discord. Bier discusses his college origin story with Politify, an app designed to show voters the direct financial impact of presidential policy proposals. Politify went viral with 4 million users during an election cycle and morphed into Outline, securing government contracts. However, when a federal government shutdown canceled a major contract, Bier realized he disliked selling software to governments and pivoted entirely to consumer mobile apps.

  • Latent demand occurs when users go through distorted workarounds to obtain value.
  • Enterprise and B2G sales require radically different team endurance and execution compared to viral consumer distribution.

Provides historical background on the guest prior to focusing on consumer mobile tactics.

4:56-17:16

Building for Teens & Demographics of Virality

watch

Bier describes launching 15 different consumer applications at Midnight Labs before understanding youth network dynamics. Users under age 22 have high social urgency, malleable communication habits, and physically interact daily at school, enabling rapid synchronous adoption. Invite conversion rates decay exponentially by roughly 20% per additional year of age from 13 to 18, meaning apps built for adults typically require heavy ad spend rather than viral mechanics. Texting and messaging frequency peaks around age 21, making the 13–21 demographic the prime window for building new communication channels.

  • Social app invitation rates decay by 20% per year of age between 13 and 18.
  • Users over 22 rarely adopt new communication tools, making organic network effects near impossible without paid ads.
  • Synchronous physical proximity in high schools provides the critical density needed for organic app flywheels.

Establishes core demographic metrics and network dynamics essential for organic consumer growth.

17:16-27:08

The Launch and Explosive Virality of TBH

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Near company liquidation, Midnight Labs launched TBH (To Be Honest), a positive polling app for high schoolers, seeding it in a Georgia school on its first day of term. TBH achieved 40% penetration in 24 hours and scaled so rapidly that monthly AWS server bills spiked to $120,000 against $150,000 in bank reserves. Bier recognized latent demand by observing teens playing emoji feedback games on Snapchat and noting that Sarahah—an Arabic-language anonymous feedback app—had reached #1 in the US despite a broken UI. TBH solved Sarahah's toxicity problem by authoring positive, curated multiple-choice polls, generating up to 60 messages per user on day one.

  • Identify latent demand where users employ distorted workarounds to fulfill core human desires.
  • Mitigate anonymous app toxicity by restricting user input to curated, positive multiple-choice options.
  • Use state-by-state geo-fencing to prevent server collapse during explosive local adoption.

Details the exact launch mechanics, market observations, and server realities behind a #1 App Store hit.

27:08-37:00

Testing Protocols & Managing High-Growth Chaos

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Bier details how Midnight Labs tested apps by following high schoolers on dedicated Instagram accounts and geo-fenced ad targeting to achieve local saturation. He advocates embedding 24/7 live chat support inside early-stage apps to eliminate user drop-off variables and gather real-time qualitative feedback directly into Slack. Managing breakout growth requires constant operational triage because internal infrastructure breaks every three days under explosive load. True product-market fit manifests unambiguously through non-standard metrics like hourly active users (HAUs) rather than standard DAUs.

  • Eliminate testing variables by achieving local user saturation and embedding 24/7 live support.
  • Use in-app live support in early builds as a primary qualitative product feedback engine.
  • Consumer product-market fit is binary, manifested in metrics like hourly active users.

Provides actionable operational frameworks for app testing and hypergrowth triage.

37:00-54:16

Acquisition by Facebook & Corporate Innovation Bottlenecks

optional

Nine weeks after launching TBH, Facebook acquired the four-person company for over $30 million. Working as a Product Manager at Facebook for four years, Bier discovered that big tech PMs function primarily as team secretaries managing approval documents rather than working on pixel-level product design. Large incumbents struggle to build zero-to-one consumer products because corporate incentives encourage risk-averse, defensible copying of established market leaders rather than pursuing raw human motivations like flirting or status. Additionally, big tech decision cycles take 12 to 24 months to react to competitive threats due to multi-layered executive reviews.

  • Big tech PMs are frequently separated from design and data, functioning primarily as cross-functional project coordinators.
  • Incumbents take 12 to 24 months to replicate breakout consumer threats due to internal political review cycles.
  • Successful consumer products align with primitive human drivers: making/saving money, finding a mate, or escaping reality.

Explains corporate innovation dynamics, though less tactical for independent app builders.

54:16-1:11:32

Building Gas & Overcoming a Viral Hoax

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Following his departure from Facebook, Bier created Gas, a reinvented positive polling app targeting high schoolers. Because carrier and iOS regulations banned server-side bulk SMS invites via Twilio, Gas had to rebuild its growth loop by shifting to native device compose windows and testing nine variations before achieving school-hopping virality. During peak growth, a viral hoax alleging Gas was involved in human trafficking forced 3% of users to delete their accounts daily; Bier fought back by securing press headlines clarifying the hoax, calling police chiefs, and embedding a debunking TikTok video in account deletion screens to reduce churn to 0.1%. Gas generated $11 million in revenue with zero venture funding before selling to Discord.

  • Platform policy shifts require complete re-engineering of viral referral flywheels.
  • Combat viral misinformation aggressively across press, search SEO, police retractments, and targeted in-app video education.
  • Run hyper-lean consumer apps on startup cloud credits to maximize cash flow prior to acquisition.

Offers critical lessons on navigating platform policy changes, crisis management, and bootstrap monetization.

1:11:32-1:23:52

Sequential Validation & The Math of Consumer Durability

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Bier details his framework for zero-to-one product development: sequentially validating core interaction, intra-group virality, inter-group spread, and monetization while executing at 100% focus on one variable at a time. Addressing questions on why social consumer apps often behave like transient summer songs, Bier explains that consumer social retention features extreme randomness and established incumbents hold strong moats. However, achieving hyper-viral growth is a repeatable science, and building short-term, highly profitable apps with lean teams can match or exceed post-dilution venture payout outcomes without decade-long corporate management overhead.

  • Validate consumer products sequentially across core interaction, peer spread, network hopping, and monetization.
  • Consumer retention involves high market randomness, whereas top-of-funnel viral acquisition is a predictable science.
  • Lean viral apps can yield venture-scale financial liquidity without ten-year corporate management overhead.

Explains the fundamental tradeoffs between viral sensation apps and durable venture-backed startups.

1:23:52-1:36:12

iOS 18 Contact Sync Changes, Time-to-Value & Advising Tactics

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Bier warns that iOS 18 contact permission changes will severely damage contact-sync invite flows by requiring manual multi-step contact selection, entrenching existing incumbents unless apps develop new growth mechanisms. He highlights the success of Dupe.com, where inverting time-to-value allowed users to paste dupe.com in front of any URL to instantly find cheaper alternatives, driving millions in ARR within 60 days. In advising startups via Intro, Bier focuses on aligning marketing messaging directly with in-app onboarding flows, optimizing conversion funnels, and managing pixel-level Figma UI details.

  • iOS 18 contact permissions make contact-sync viral loops dramatically harder, favoring incumbent social graphs.
  • Compress time-to-value into the first 3 seconds of user onboarding to prevent churn.
  • Ensure marketing ad creative and in-app onboarding share explicit visual alignment.

Provides actionable tactical insights on modern iOS updates, activation speed, and product-level growth.

Key points

  • Exploit Latent Demand in Distorted User Behaviors — Breakout products emerge when users undergo cumbersome workarounds to fulfill fundamental human desires, such as using foreign-language apps or informal social media games to receive compliments.
  • The Demographic Decay of Viral Organic Invites — Organic invitation rates per user decay by approximately 20% for every additional year of age from 13 to 18, collapsing after age 22.
  • Sequential Conditional Product Validation — Zero-to-one product development should isolate and sequentially test core interaction, intra-group spread, network hopping, and monetization one variable at a time.
  • The 3-Second Inverted Time-to-Value Rule — Modern consumer attention spans mandate delivering the primary product value proposition or 'aha moment' within the first three seconds of user interaction.
for every social app I've ever built the number of invitations sent per user drops 20% for every additional year of age from 13 to 18. Nikita Bier
every tap on a mobile app is a miracle for you as a product developer because users will churn and bounce to the their next app very quickly. Nikita Bier

AI-generated from the transcript. May contain errors.

0:00

honored to be on a product management

0:02

podcast for a person who doesn't believe

0:04

product management is real. We're

0:06

already We're already getting into the

0:07

hot takes. You launched TBH, went viral,

0:10

and you end up selling it to Facebook.

0:11

What was the insight that helped you

0:12

come up with this is a big idea that we

0:14

should try?

0:15

I looked on the App Store, and the

0:17

number one app in the United States was

0:19

an app called Sarahah. But, the entire

0:21

app was in Arabic. Like, the strongest

0:24

signal that you could ever have that

0:25

people want something.

0:27

This is insane. I I did not know this

0:28

full story. So, we launched this app. It

0:31

immediately took off. Servers started

0:34

crashing. I looked at our numbers, and

0:35

I'm like, we will be number one in the

0:37

United States in like 6 days.

0:40

The tip that you're sharing here is look

0:42

for latent demand.

0:43

Where people are trying to obtain a

0:45

particular value and going through a

0:48

very distorted process. If you can

0:50

actually crystallize what their

0:52

motivation is, you can have this kind of

0:55

intense adoption.

0:56

I I didn't know you're actually a

0:57

product manager at Facebook.

0:59

The thing I didn't realize as a product

1:01

manager in a large tech company is there

1:04

is very little product management that

1:07

you do. They're mainly just writing of

1:08

documents and then kind of being the

1:11

team secretary and running around

1:13

getting approvals. But, products live

1:15

and die in the pixels. You should be

1:17

designing the hierarchy, the pixels, the

1:19

flows, everything. That's on you.

1:21

At some point, you started tweeting

1:22

like, "Hey, I'm working on a new app."

1:23

Everyone was going nuts. I saw a stat

1:25

that you made $11 million in sales, 10

1:27

million downloads.

1:28

The thing that is hard to really

1:30

understand is it is absolute chaos to

1:33

keep the thing online. I was sleeping 3

1:35

hours a day for 3 months. Our team was

1:38

also relentless though. They would come

1:40

over to my house 9:00 a.m., stay until

1:42

midnight, and just do that 7 days a

1:44

week.

1:44

anything else that's just like, "This is

1:46

something that's probably going to help

1:47

you with your app?"

1:47

With certainty, if you're good at your

1:49

job, you can make an app grow and go

1:52

viral. Over the years of building all

1:53

these apps, I've accrued all these

1:54

growth hacks that still nobody knows

1:56

about.

2:02

Today, my guest is Nikita Bier. Nikita

2:04

has built, launched, and helped get more

2:06

apps to the top of the App Store than

2:08

any human I've ever come across. He sold

2:11

his first big hit, TBH, to Facebook for

2:13

over $30 million.

2:14

He sold his second big app, Gas, to

2:16

Discord for many millions more. He did

2:18

this all with a tiny team and very

2:20

little funding. He's also helped dozens

2:22

of founders and apps, and is an advisor

2:24

or investor to companies like Flow,

2:26

Citizen, BeReal, Lockit, and

2:28

Wealthsimple, and many more. Today, he

2:31

spends his time advising companies on

2:33

viral growth strategies, design

2:34

feedback, structuring their product

2:36

development process, and a lot more.

2:38

What I love about Nikita is that he has

2:40

very strong opinions about how to build

2:42

successful products that are rooted in

2:44

him actually doing the work over the

2:46

past decade to see for himself what

2:48

works and what doesn't. Nikita has been

2:50

the single most requested guest on this

2:52

podcast, and you'll soon see why. This

2:54

episode is packed with tactics and

2:56

stories and lessons that I am sure will

2:59

leave you wanting more. If you want to

3:00

work with Nikita on your app, you can

3:02

actually book his time at

3:03

intro.co/nikitabier.

3:07

And if you enjoy this podcast, don't

3:08

forget to subscribe and follow it in

3:09

your favorite podcasting app or YouTube.

3:12

It's the best way to avoid missing

3:13

future episodes, and helps the podcast

3:15

tremendously. With that, I bring you

3:17

Nikita Bier.

3:22

Nikita, thank you so much for being

3:24

here. Welcome to the podcast. Thanks for

3:26

having me. I'm excited to to dive in.

3:29

I'm also I feel

3:30

honored to be on a product management

3:33

podcast for a person who doesn't believe

3:35

product management is real. We're

3:37

already We're already getting into the

3:39

hot takes. Uh we're definitely going to

3:40

chat about Wait, and you said not real.

3:43

Okay, I thought you were going to say

3:44

not not useful. Okay, this is good.

3:47

Okay, let's put a pin in that. I think

3:49

we think this. I think everyone already

3:50

feels this. I think this is going to be

3:51

a very special conversation. I've been

3:53

looking forward to chatting you for a

3:54

long time.

3:55

And there's so much that I want to ask

3:57

you.

3:58

The way that I'm thinking we frame this

3:59

conversation is we go through the story

4:02

behind the apps that you've built or

4:04

helped build that have hit the top of

4:06

the App Store. And basically hear the

4:08

inside story of what it took to build

4:10

those apps and to make them successful.

4:13

And then through that, try to extract as

4:14

many lessons as we can

4:16

about what it takes to build a

4:18

successful viral consumer app these

4:19

days.

4:20

How's that sound to you? Sounds amazing.

4:23

And a lot of it was luck, but a lot of

4:25

it was

4:26

very very tactical work that went into

4:29

it all.

4:31

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6:10

First, I want to start with something

6:12

that I think very few people know about

6:14

you. So, the first thing that you built,

6:16

the first product that you built was

6:18

uh very different from what you do these

6:20

days, and it was a product called

6:21

Politify, which something I actually

6:23

would really want. It helps you decide

6:25

who to vote for based on how it would

6:27

impact your life.

6:29

Can you just share a bit about just that

6:31

part of your life and why you decided to

6:33

pivot away from that into consumer apps?

6:35

Yeah, so when I was in college, I was

6:38

really interested in this kind of uh

6:40

thing that American voters do, which is

6:42

like they they vote against their own

6:43

financial self-interest. Like, people in

6:46

New York and San Francisco, you know,

6:48

vote for Democrats for higher taxes.

6:50

People in Kansas uh vote for Republicans

6:54

for low taxes and not

6:55

uh and they, you know, they make less

6:56

money and so they fewer government

6:58

benefits. And I wanted to build this

7:00

tool that would help communicate the

7:02

financial impacts of these policy

7:05

proposals of presidents. And I I built

7:08

it in like my last year of college, and

7:11

we it was just a web app that we put

7:13

out, and it would it would calculate

7:16

their tax proposals, the government

7:18

benefits that they were proposing, and

7:20

you would enter in your basic personal

7:22

information, how many kids you have, uh

7:25

if uh your age, and then it would just

7:29

tell you in dollars what the impact

7:31

would be. And it also tell you uh we

7:33

simulated those policies also against uh

7:36

the tax returns of every zip code, so

7:38

you could see how it impacts your

7:39

community. We went super viral. Um like,

7:42

I think very few people thought of

7:45

politics that way, and I think we got

7:47

like 4 million uh users on it uh during

7:51

that season of the uh during that

7:53

election.

7:54

And like, it was just a kind of like a

7:57

project that we raised some grant money

7:59

for, but it ended up feeding into this

8:00

company that we uh spun up. And that was

8:04

called Outline um because we had a bunch

8:06

of

8:11

Massachusetts actually reached out, and

8:13

I I flew out there to meet with them,

8:16

and uh that was going to be our first

8:18

customer. And so, I we uh we raised some

8:21

money, we got a we won a government

8:24

contract, and

8:26

uh we joined Techstars uh the

8:28

accelerator. And we ended up getting uh

8:32

we we got a contract in the pipeline

8:34

with the Obama administration.

8:37

Uh and then we uh we got this uh

8:40

contract, and we started building it,

8:42

and the government shutdown happened in

8:44

the middle of like as we were building

8:47

it, and we had one of our contracts

8:49

canceled. And I realized like I I

8:52

actually really don't like selling

8:55

software to governments. And my core

8:58

competency all along was making things

9:01

that go viral on the internet. Uh like

9:03

that was that was what we had built, not

9:05

this policy simulation tool. And so, you

9:08

know, we we went to our investors, and

9:11

we said, "Look, this uh this isn't

9:14

actually what

9:16

uh we're excited about doing anymore. Um

9:18

and we we offered to give the money back

9:21

uh and said, "We're we're we're going to

9:22

be building consumer apps, and here's a

9:23

few ideas that we have." None of them

9:26

took the money back. Um

9:28

and so, then we spent the next

9:30

uh

9:31

like four or five years building a

9:34

variety of different kind of consumer

9:36

uh consumer apps. So, we we had a a few

9:39

like kind of mild successes during the

9:41

course of those four to five years, and

9:45

one of them was a uh an app called Five

9:47

Labs that ingested your Facebook posts

9:50

and determined your personality based on

9:52

the language you use.

9:54

Uh and it used this exact same model

9:56

that Cambridge Analytica used. And that

9:58

was super viral. I I think you know, we

10:01

had like

10:02

tens of millions of profiles in it and

10:06

this all it went viral in like 3 days.

10:08

And so we raised some more money based

10:11

off the success of that and

10:14

we we started focusing a lot more on

10:16

mobile after that first app 5 labs and

10:19

we we launched you know, uh

10:22

basically every type of app you can

10:24

imagine. We launched mapping apps, chat

10:27

apps, event meetup apps, any like

10:31

basically every kind of consumer app on

10:33

mobile that you could think of and that

10:36

actually helped us kind of build a

10:37

muscle to understand what people want

10:40

and how to actually make things grow and

10:43

how to test them. And over time we

10:45

started focusing more on teens and a lot

10:49

of people ask why Silicon Valley is so

10:52

fixated on building apps for teens and

10:55

one of the reasons is their habits are

10:58

pretty malleable. Like as we get older

11:00

we like kind of get kind of fix fixed

11:03

into our our habits of using certain

11:05

communication products and we don't

11:07

really adopt new things.

11:09

And then the other thing that we

11:12

discovered was that adults don't really

11:14

you know, invite people to new apps. We

11:16

found that as a user got older from age

11:20

13 to 18 like the number of people that

11:22

they invite to an app just declines

11:25

almost exponentially. And finally the in

11:28

the most important thing is they they

11:29

see each other every day and that is so

11:32

critical. Like this is consumer app

11:34

developers sometimes they smokers are

11:36

great for like targeting an audience cuz

11:38

they actually like hang out you know,

11:41

serendipitously a lot outside of you

11:43

know, buildings and so but I'm not to

11:46

say like social apps are cigarettes. I I

11:48

don't really like that metaphor but Just

11:50

on the note of you talking about why

11:52

teens are important. I I have this quote

11:54

actually from you that I love

11:55

where building on the point you made

11:57

that for every social app I've ever

11:59

built

12:00

the number of invitations sent per user

12:02

drops 20% for every additional year of

12:04

age from 13 to 18.

12:07

So if you build for adults expect to

12:08

acquire every user with ads.

12:11

And I love that you have a very clear

12:12

heuristic of per year the amount of

12:15

people they invite to the app is 20%

12:17

lower. If your users aren't inviting

12:19

people to your app,

12:21

you're going to have to find another way

12:23

to

12:24

to acquire them and that most likely

12:27

means ads and

12:29

if if if you're targeting older cohorts

12:32

like adults, you're going to have to

12:35

raise a huge amount of venture capital

12:37

to finance that user acquisition

12:39

pipeline. And it's going to be

12:41

extraordinarily expensive. As a seed

12:42

stage startup it's going to be basically

12:44

impossible to to to grow that user base

12:48

especially to get density if you need

12:51

uh

12:52

actual network effects among users.

12:55

So basically you're building this help

12:57

me decide who to vote for app that

12:59

turned into a real business with like

13:01

government contracts coming to you

13:03

trying to help you

13:05

pushing you to build something that you

13:06

end up realizing I don't want to be

13:07

doing this. Why am I building this app

13:09

selling government contracts? And so

13:12

what you did is you and this is a really

13:14

interesting lesson to take away is you

13:15

just realized I don't want to be doing

13:17

this.

13:17

Investors don't force me to be working

13:20

on this. I'm going to stop this.

13:22

I'm going to go work on some other stuff

13:23

that I'm actually excited about that I

13:24

think has a bigger chance of success.

13:26

And that's where you transition to this

13:28

startup studio where you're just trying

13:29

a bunch of apps and I think it was

13:31

called midnight labs you said something

13:33

like that, right? Yeah. Awesome. So

13:35

basically I think that's a really

13:36

interesting insight of just like if

13:38

you're working on something you don't

13:39

enjoy, you can change that. You can

13:41

pivot. You can tell your investors I

13:44

want to work on something else.

13:45

Is there anything there that you want to

13:46

add along those lines?

13:48

It was really hard for us to pivot to

13:52

mobile. I think that was one of the most

13:54

challenging things for me personally

13:56

because it was a completely different

13:59

paradigm. Like I actually have been

14:01

building web apps since I was 12 years

14:03

old and I I you know, I I I built a full

14:06

e-commerce business selling pirated

14:09

games on the web and I knew everything

14:11

about like growing a website. But as I

14:13

as we pivoted to mobile, I I had to like

14:17

recalibrate my whole brain on how to how

14:19

to do that.

14:21

Mobile apps have such a low margin for

14:26

error when it comes to designing them

14:29

because I I I I have this like dogmatic

14:32

view

14:33

that like every tap on a mobile app is a

14:37

miracle for you as a product developer

14:40

because users will churn and bounce to

14:42

the their next app very quickly.

14:45

If you actually sit behind someone and

14:47

watch them use their phone, they

14:48

actually switch between apps at a pretty

14:50

high frequency. So every tap that you

14:52

get, every single one is so scarce that

14:54

you should be optimizing everything. And

14:55

so I had to change my whole brain when

14:57

we started pivoting to mobile and

14:59

building these mobile apps

15:01

and it took a lot of failures. Like we

15:04

you know, we

15:04

we uh

15:06

for like 14 of the apps that we launched

15:08

were basically duds and then we started

15:11

fixating on teens

15:13

and and building apps for them and

15:17

eventually we figured out an interesting

15:18

heuristic for identifying consumer

15:22

product opportunities that ultimately

15:25

led us to TBH. You spent four or five

15:27

years trying a bunch of different ideas.

15:29

I think people see this headline and

15:32

we'll get into TBH of just like 9 weeks

15:34

after launch sells for $30 to Facebook

15:37

and everyone's like okay, that's

15:39

amazing. I want that for my life. Nobody

15:41

knows there's this like four or five

15:42

years of trying you said 15 different

15:45

apps

15:46

before you got there learning the things

15:47

that actually work and don't work. We

15:49

built like 15 apps over that the course

15:53

of that pivot

15:54

to consumer and we built apps for like

15:57

every single app, you know, map apps,

16:00

chat apps,

16:02

you know, to-do list. We just built

16:04

every type of consumer app you could

16:05

possibly think of and also we built for

16:09

every audience too. We built for college

16:11

students, we built for

16:13

you know, post college and it was always

16:17

very difficult to get the flywheel

16:19

spinning for anyone after like

16:23

22 years old. That That was like the

16:25

cutoff of when

16:27

uh

16:28

people just have give up on adopting new

16:31

products. And and that was a kind of

16:34

like it took us a few years to really

16:37

internalize that.

16:39

A lot of failures to realize no one

16:41

needs another app after that age.

16:44

So the thing that you found there which

16:45

is really interesting cuz most people

16:47

are building for people older than 22.

16:49

That's like a profound insight you had

16:51

there.

16:53

Like every consumer app I see is like

16:55

trying to build for adults. And your

16:57

lesson there is basically if you're

16:59

trying to do that you're probably going

17:00

to need to raise money and spend a lot

17:01

of money in paid ads.

17:03

Yeah and most likely you'll never get

17:05

network effects.

17:06

There's actually an interesting study

17:08

like many years ago that

17:10

like some academics in Spain did I think

17:13

it was in Spain and they looked at how

17:14

many people you text you know, per year

17:17

of your life and it goes up like very

17:22

quickly from 14 to 18.

17:25

It peaks around 21. So it's growing. The

17:29

number of people you text is growing up

17:31

until about 21 and then it just falls it

17:34

collapses.

17:36

And then it comes back up in at end of

17:38

life. And there's a few reasons all this

17:40

happens but

17:41

basically you know, once you exit

17:43

college you kind of

17:45

reduce the number of contacts you have

17:46

your daily contacts. Once you get

17:48

married it's even fewer and then when as

17:50

you get older, you know, you

17:53

and your kids start having kids and you

17:55

become a grandparent, you start texting

17:57

again more and or you join a retirement

17:59

home. But if you're building a product

18:01

with network effects that's a

18:02

communication tool, you want to be on

18:05

that ups upward curve of adding

18:08

connections to your social graph because

18:11

then the urgency to connect is higher.

18:14

So

18:15

if you really want to actually innovate

18:17

at the edges of communication products

18:21

you you you really have to target that

18:22

cohort that has the highest urgency to

18:25

communicate.

18:26

And and that's teens.

18:28

I love that you found these things out

18:30

not through just like research and not

18:32

through just thinking. It was through

18:34

actual trying things over and over and

18:36

over and trying different audiences,

18:38

trying different experiences. Like a lot

18:40

of people see your advice and are like

18:41

how does he know?

18:42

It's just like you've done all these

18:43

things yourself. You've seen them.

18:45

You're like sitting there watching teens

18:46

use these apps and I think very few

18:48

people actually do that and they just

18:50

come up with these theories that aren't

18:51

based in empirical evidence.

18:54

Yeah, so we we we got pretty good at

18:57

at building these apps. I think our

18:59

first mobile app took us about a year

19:01

and then our last one took us about 2

19:03

weeks.

19:04

We also got very good at testing apps

19:06

and the most important thing that I

19:08

often instruct teams to do is to develop

19:12

a reproducible testing process and that

19:14

will actually influence the probability

19:17

of your success more than anything. It's

19:20

so unpredictable whether a consumer

19:24

product idea will work and so

19:27

if you actually focus more on your

19:29

process for taking many shots at bat,

19:32

that that's what actually reduces the

19:34

risk more than anything. And so we

19:37

figured out ways to seed apps into

19:40

into schools. We also like during the

19:43

course of that company we figured out

19:44

how to seed it into affinity groups, you

19:46

know, hobbyists, things like that.

19:49

So we were on app number 15.

19:53

You know, we're a lot of failures during

19:57

during the course of this

19:58

uh

19:59

company and I remember a lot of our team

20:02

members were like I I kind of want to

20:04

leave. I think this is it for me. And

20:08

one one of our key team members actually

20:10

put in their two weeks notice uh the day

20:13

before we launched our our final app. We

20:16

were also running, you know, we were

20:17

getting kind of low on money.

20:19

I was tired

20:21

um

20:21

and

20:23

I

20:24

I called our lawyer to ask how do you

20:26

dissolve a company? I messaged a few

20:29

mentors saying like uh I

20:32

one people that have been through it and

20:34

I said, you know, what what are the

20:35

steps to to do this? Um and then I I I

20:38

had a conversation on the way out with

20:40

that that team member that wanted to

20:42

leave and I said, you know, I understand

20:45

uh

20:46

but what but what if the app actually

20:48

starts charting on the App Store?

20:50

And I he just said, what are the chances

20:52

of that? Uh you know, it's it's

20:55

you know, you know, that's not going to

20:56

happen. And I said, sure, okay.

20:59

Um so

21:01

uh we

21:03

we launched this this app and it was,

21:05

you know, a polling app TBH and it

21:08

immediately

21:10

took off in the school that we seeded it

21:12

into

21:13

uh in in Georgia. We picked the one

21:16

school that had the earliest start date

21:18

in the United States because we needed

21:21

to launch as soon as possible given this

21:23

state of the company.

21:25

Um and it just I think it spread to, you

21:27

know,

21:28

40% of the school downloaded it in the

21:30

first 24 hours

21:31

and it rapidly spread to the neighboring

21:34

schools. And suddenly I was like, oh, we

21:37

might have something here.

21:38

Um and

21:40

uh

21:41

servers started crashing and

21:44

watching it climb the charts. I think

21:46

within I I I I looked at our numbers and

21:48

I'm like, we will be number one in the

21:51

United States in like six days. Uh and

21:55

then I looked at our Amazon bill and it

21:57

was like 120,000. I looked at our bank

22:00

account. It said 150,000.

22:02

I'm like, okay, these two numbers don't

22:04

really uh

22:06

Um so I quickly had to put together a

22:08

funding round and I told our my team,

22:11

can you guys just pause for like two

22:13

months and just like really focus on

22:15

this? I think I could probably sell this

22:16

thing. And so it turned into a

22:19

pretty competitive bidding process

22:21

actually. Um

22:23

there there was a

22:25

really really great moment uh

22:28

where uh

22:29

there was one of the acquirers

22:32

or one of the bidders was based in LA

22:34

had told me to fly down

22:36

and they told me to fly down that day.

22:39

So I got on a plane, went to the airport

22:41

without a ticket, showed up. And

22:44

when we were rolling out this app, we

22:46

were doing a state by state rollout

22:48

strategy where every state was

22:50

geo-fenced. And

22:52

we hadn't launched California until that

22:55

morning and

22:57

I arrived

22:58

at this uh this company and this

23:02

founder's in LA's house

23:05

and

23:06

he said

23:07

uh

23:07

you know, show me the metrics. You guys

23:09

are like, what number four or something?

23:11

And since we just launched California,

23:13

it's a big state

23:15

as in, no, no, no, we're actually number

23:16

one. We're the number one app in the

23:17

United States. And I said, yeah, show me

23:19

the metrics. And our CTO was a published

23:23

off is Eric Hazard is a published author

23:25

in mapping. Uh and so he he created an

23:29

amazing dashboard that could show

23:30

real-time installs on a map.

23:33

And it was around 4:00 p.m. and school

23:35

had just gotten out. Uh so I zoomed in

23:37

on the block that we were having that

23:39

meeting and the entire block was lit up

23:41

with installs all around us. And so then

23:45

that's what got the kind of the ball

23:47

rolling on a uh

23:49

you know, it was it was a really

23:50

really select cinematic moment of uh you

23:54

know,

23:55

showing something that you created that

23:58

literally just took over the entire

24:01

neighborhood around you. That's insane.

24:03

I That's going to be in the movie of

24:05

Nikita Beer in the future. Okay, so a

24:07

couple questions here. So one, you

24:08

predicted the chart it would hit number

24:09

one. How do you What does it take to hit

24:11

number one? Like what is the number

24:12

you're looking at? Is it some number

24:14

downloads to get to number one in the

24:15

App Store?

24:16

Uh it fluctuates. It used to be like

24:19

like 100 80 to 100,000 installs but now

24:22

you have these companies that are just

24:24

spending extraordinary amounts on ads

24:26

and or injecting it into one of their

24:29

other apps. So between Threads, Temu and

24:32

all these other apps that are kind of

24:34

spending on acquisition and all that,

24:37

some days it's up to like 300,000. And

24:40

that's per day? Yeah. Oh man, amazing.

24:43

Okay.

24:43

At the peak of TBH, we were getting

24:47

360,000 per day.

24:49

Okay. The other two things I wanted

24:51

spend a little time on here before we

24:52

move on to the next app is

24:54

what was the insight that helped you

24:55

come up with this is a big idea that we

24:57

should try? And then what was the

24:59

insight into how to spread this so

25:01

virally? And I I know that one is really

25:03

clever. After building all these apps,

25:06

we had these kind of like lingering

25:08

users that stuck around and would share

25:11

feedback with us

25:13

on our next app. And so there were a

25:15

couple like there's this senior in high

25:17

school that I would send screenshots of

25:19

our products.

25:20

And

25:22

he told me about this trend called TBH

25:24

that kids were playing on Snapchat where

25:27

they would post an image of a bunch of

25:29

emojis and it would say

25:32

like, I like you, you're smart, your

25:35

style is great and you would just reply

25:38

to the story with the emoji of what you

25:40

felt. And I was like, this is kind of

25:42

weird. You post this on your story and

25:43

then people send you feedback. And I'm

25:45

like, so teens are looking for this

25:48

this like like this vehicle for

25:51

disclosure essentially. And I'm like,

25:54

that's kind of cool. I wonder if you

25:56

could make that into an app. We like had

25:58

sketched some things out and

26:01

uh

26:02

as we were kind of sketching things out,

26:05

I looked on the App Store and the number

26:07

one app in the United States was an app

26:09

called Sarahah.

26:11

And it was for sending anonymous

26:13

messages

26:14

by adding a link to your Snapchat story.

26:17

But the thing that was most interesting

26:20

was the entire app was in Arabic. The

26:23

number one app in the United States was

26:24

in Arabic.

26:26

And that was one of the most

26:30

uh

26:30

like the strongest signal that you could

26:33

ever have that people want something.

26:35

And so when I meet with founders, I

26:36

often tell them like the way you should

26:38

be searching for product ideas is this

26:40

concept of a latent demand where people

26:44

are trying to obtain a particular value

26:47

and going through a very distortive

26:50

process to obtain that value. And if you

26:54

can actually crystallize what their

26:56

motivation is

26:57

and build a product around

27:01

and and clear up what they're trying to

27:03

actually do you can have this kind of uh

27:06

intense adoption.

27:08

And

27:10

uh when we saw what people were doing

27:12

with Sarahah, I I also looked at some of

27:15

the tweets and comments on it. A lot of

27:17

people were receiving negative messages.

27:19

And so what I saw with the game that

27:22

kids were playing on Snapchat TBH and

27:24

then Sarahah, I realized just people

27:26

want to know good things about

27:28

themselves. And they don't want like

27:30

these bullying messages that they're

27:32

getting on these anonymous apps.

27:35

And I was like, well, what if instead of

27:37

actually typing what you wanted to say

27:39

about somebody you uh just answered

27:42

polls and we authored those polls. So

27:46

that we ensured everything would be

27:48

always be positive. And

27:51

I mean, in the back of my head I always

27:53

knew anonymous apps go viral. But they

27:56

always lead to like like these awful

27:58

news stories of kids committing suicide,

28:00

you know, self-harm and all that. And so

28:02

I was like, I'll never build anything

28:03

like that. Um

28:05

but

28:06

uh when we came up with this new

28:07

mechanic where you could only say

28:08

positive things through polls, you know,

28:10

who has the best smile who's most likely

28:13

to be president and then you receive it

28:16

uh

28:17

and it's it's anonymous but your name is

28:18

selected. What we discovered a couple of

28:20

things is it made users feel a lot

28:23

better. It actually solved what they

28:24

were trying to do

28:26

and they also sent a much higher volume

28:28

of messages.

28:30

And so it was

28:32

it was literally explosive adoption.

28:34

Like one school I was looking at, they

28:36

sent 450,000

28:38

messages in the first seven days of

28:41

adopting it.

28:43

And when you look at day one like volume

28:46

of messages sent on a messaging app uh

28:49

you're lucky if people send like three

28:51

or four or something. But we were

28:53

sending like 60 and

28:55

we we couldn't even handle it. So we had

28:58

to like we had to geo-fence the app

29:00

because it we needed to scale our

29:01

servers which was actually a pretty

29:03

controversial decision inside of our

29:04

company because like, why would you turn

29:07

off something that's working? But at my

29:10

core I knew like

29:12

if it's working at this many

29:14

you know, in individual schools

29:17

we could just relaunch it anytime and

29:19

it'll just it'll it'll go viral. So

29:21

uh let's let's let's regroup and figure

29:24

out what's happening here and then and

29:26

relaunch. So you keep talking about how

29:27

it went viral, went crazy, grew like

29:29

crazy. I know that there's like a little

29:31

trick that you came up with to help it

29:32

spread. Can you just briefly talk about

29:34

what you did there and to help it spread

29:35

so quickly within a school? I I think

29:38

you're referring to there's like a

29:39

BuzzFeed memo that

29:41

a memo that was leaked to BuzzFeed while

29:44

I was at at uh

29:47

And

29:48

the the main thing we found was like to

29:50

to be convinced to download an app, you

29:52

need to see it. You need to see like the

29:54

marketing message like three times or

29:57

so.

29:58

Uh so, you basically need to saturate an

30:00

area with every kind of marketing you

30:03

can. You know, so we ran ads

30:06

uh at targeted at this uh our particular

30:08

school to to when we were seeding and

30:10

testing these apps. And we also followed

30:14

people creating a dedicated Instagram

30:16

account that went to that school.

30:19

Um cuz we I we learned that

30:21

uh

30:21

high schoolers I identify their school

30:23

in their bio. So, it says RHS on their

30:25

bio. And so, that was how we tried to

30:29

get uh the entire school to adopt

30:32

synchronously. We would we'd follow them

30:34

and then accept the follow-backs.

30:35

A big misunderstanding though, and I I

30:38

get this DM a lot and people like, "I'm

30:40

trying to replicate your strategy. We've

30:42

just done it at 15 schools and it's it's

30:44

not working anymore."

30:46

This is not the way we grew the app.

30:48

This is how we tested apps. And there's

30:52

it's really it's it's a little bit

30:54

nuanced there. That's an important

30:55

nuance because you need to get uh enough

30:58

intensity of adoption and density for a

31:01

social network to start to get the

31:03

flywheel spinning, but the app should

31:05

grow by itself after that. And people

31:08

think we would just went like from

31:09

school to school following every kid on

31:11

it. Like, you can't that that's totally

31:12

unrealistic. But for like the first 100

31:15

users, yes, that's how we got them. And

31:18

that allowed us to know whether the

31:21

product was working or not. Like, we we

31:23

could get enough people on it, and then

31:26

we could with conviction say

31:29

that whether the app had legs, and we

31:32

wouldn't have this kind of uncertainty

31:34

like, "Oh, did they did they add enough

31:36

friends? Did we get enough people on it?

31:38

Did they reach the aha moment?" Because

31:40

you need friends to get on So, we we

31:42

wanted to eliminate that confounding

31:44

variable, and so we we figured out a way

31:45

to just get a bunch of people to adopt

31:47

at once. Um and that's one thing I

31:49

encourage a lot of founders to do is

31:52

figure out a way to eliminate all those

31:55

potentially confounding variables

31:57

uh so you can know immediately whether

31:59

something's working or not. You never

32:01

want to walk away from a an experiment

32:03

or test and say, "Well, uh maybe the the

32:07

execution was bad." Cuz it takes a lot

32:10

of energy to mobilize a team to test

32:12

something, and you really want to make

32:15

sure your tests actually

32:17

provide signal. So, your advice here is

32:19

when you're testing something, test the

32:21

best possible version of what that could

32:23

be.

32:23

Whether it takes manual work or

32:25

something that is never going to scale,

32:27

like test the ideal because that'll tell

32:29

you even if this could be the best

32:31

possible version.

32:32

Uh do people actually care? Yeah, we

32:34

would try to get the like uh an entire

32:36

school to adopt just to know like uh if

32:39

if everyone had 10 friends, would would

32:42

would they actually derive value from

32:43

this app? We also did other things like,

32:45

you know, and I recommend all companies

32:47

do this is

32:49

put live chat customer support in your

32:52

app like like 24 hours a day. And it

32:55

sounds insane. It's like

32:57

the whole point of tech is you you don't

32:59

need to do that. That's the whole point

33:01

of a of a software.

33:02

But

33:05

then users get this white glove

33:07

experience, and that eliminates another

33:10

confounding variable. Like, did they

33:11

think they were their problems were

33:13

solved or they're they're treated well?

33:15

But most of all, one of the reasons I

33:17

actually recommend people put live chat

33:19

in their app is it's the

33:21

best uh vehicle for getting feedback and

33:25

do you doing user research cuz users

33:27

will literally tell you what the problem

33:29

they're having.

33:30

Um so, we we had uh our person that was

33:34

running this uh his his name was Michael

33:36

Gutierrez. He's he's done it for all my

33:38

companies actually. He's the the the uh

33:40

community and customer support rep. He

33:43

would uh paste any interesting feedback

33:45

into Slack, and then we would be like,

33:47

"Oh, this this this uh user has a great

33:50

idea. We we should consider turning that

33:51

into a feature." Um so, you really want

33:53

your finger on the pulse as you roll

33:55

these things out and uh so you can get a

33:58

sense for

33:59

uh what's working, what isn't, and also

34:02

make users feel great and make sure at

34:04

the end uh they they promote your app

34:07

positively to their peers. I love that

34:09

piece of advice. Okay, so to close out

34:12

the TBH chapter,

34:15

is there anything else that you think is

34:16

important for people to know or any

34:18

other lasting lessons from that part of

34:20

your journey that you bring with you to

34:22

new apps that you're building today?

34:24

I think the the thing that is hard to

34:27

really understand for first-time

34:30

founders that hit

34:32

breakout success with a consumer product

34:36

is how how draining and how s- uh spread

34:40

thin you get because everything breaks.

34:45

Everything that you built needs to be

34:47

substituted

34:49

uh

34:50

almost every 3 days. And I I can just

34:53

like give you an example like we were

34:55

just talking about this customer support

34:57

system that we had.

34:59

The first system broke after 3 days. The

35:02

next one broke 7 days later. We had to

35:04

replace it with a different one that

35:06

could scale even better.

35:07

And if you think about that on every

35:10

dimension of the company,

35:12

um

35:12

it is absolute like chaos to keep the

35:15

thing online uh as as it scales up. And

35:18

so, you have to be ruthless with

35:21

prioritization as something scales up uh

35:24

and put out

35:26

the largest fires first.

35:29

Because uh I I that was something that I

35:31

I didn't really

35:33

uh

35:34

fully understand is how uh

35:37

how how how uh many things go wrong, and

35:42

if we didn't geofence the app, it would

35:45

would there would there would be no way

35:46

we would have been able to keep the keep

35:48

that thing online because that's gave us

35:51

some slack to

35:53

uh control growth.

35:55

This is a good example of when people

35:56

ask like, "Hey, does my app have

35:58

product-market fit?"

35:59

I think this is an example of this is

36:01

what it looks like when things are

36:02

breaking every 3 days, when you have to

36:03

geofence it to keep it from crashing.

36:06

A lot of people ask me like, "W- what

36:07

what are the metrics for uh what's the

36:10

benchmark for product-market fit?" And I

36:13

this this founder that I'm uh friends

36:15

with

36:16

his name is Roger Dickey. Uh he he had a

36:18

he he told me a lot one time, um "If

36:21

your product's working, you'll know." Uh

36:24

and the there if there's any

36:27

uncertainty, it's not working. And it

36:30

really is a binary when it comes to uh

36:33

consumer products.

36:35

Um

36:36

People are going to be fighting to get

36:38

into it, and you'll you'll find new

36:40

measures that you've never heard of like

36:43

our our metric was hourly actives per

36:46

day. Not daily active users, hourly

36:49

active users. So, you'll you'll you'll

36:51

start seeing that, and it'll be

36:53

abundantly obvious what product-market

36:55

fit is when you you uh you'll know it

36:57

when you see it is the bottom line.

36:59

Okay, so you launch TBH,

37:02

goes viral, start getting offers from

37:04

companies. 9 weeks later after launch,

37:07

you end up selling it to Facebook.

37:09

What was it like selling your company?

37:11

And then what was it like working at

37:13

Facebook, which you worked at for 4

37:15

years. I was not expecting that when I

37:17

was looking at your LinkedIn. So, yeah,

37:19

what was it like selling? What was it

37:20

like working at Facebook? Selling your

37:22

company is one of the most draining

37:23

processes you could ever go through as a

37:25

founder. When when we met with Facebook,

37:27

they told me they have

37:30

uh 80 people assigned to this deal. Um

37:33

and uh I'm like

37:35

I have I have one one person. It's just

37:38

me. There's no

37:39

uh

37:40

and they were like the SWAT team of M&A.

37:43

And the funniest part was, you know,

37:46

they they wanted to meet the team as

37:47

well. And so, they they came out to our

37:50

office in Oakland, which is a dingy old

37:52

office like that I got for $1,800 a

37:55

month. That was our rent for the office.

37:58

And they arrive, and uh they they walk

38:01

in. There's

38:03

uh

38:04

two engineers and one designer and me.

38:06

And they're just like, "This is this is

38:08

the whole company? This is the number

38:10

one app in the United States?" I'm like,

38:11

"Yeah, this is it." And when when we

38:13

went there, when we arrived,

38:16

we saw we joined the youth team, which

38:18

was about like, I don't know, like 150

38:20

people

38:21

uh just for this one division of of

38:24

Facebook. Uh And it was like it was my

38:27

first job that uh I I effectively that

38:30

I've ever had. When they told me my

38:32

title, uh they said I would be a product

38:34

manager. Um

38:36

like I I was like, "Okay, I I I don't I

38:38

don't know exactly what that is, but

38:41

uh I I yeah, I guess that's what I do."

38:43

And

38:44

uh I I arrive, and then I get access to

38:47

a workplace system

38:49

uh where, you know, people post all the

38:51

things they're working on. And I I

38:54

realized it's like kind of like this

38:55

almost uh academic environment for

38:59

social networks, like social network

39:01

development. It's like the Harvard of

39:03

social networks. Like kind like of

39:05

the the uh

39:07

I was reading all these studies that

39:09

people were doing on like, "Oh, if we

39:10

change that, this is the impact to

39:12

retention and DAU." And I was just uh I

39:15

I was so impressed like I I

39:17

there's a whole science here. And

39:20

uh a lot of the stuff that we did was

39:22

learn learned from first principles. But

39:25

then we saw it actually turn into

39:27

systems and processes here.

39:29

But the the the thing I didn't realize

39:32

as a product manager in a in a large

39:35

tech company is there is very little

39:39

product management that you do. You're

39:41

you're actually not as involved in the

39:44

product as I had assumed. Like I

39:47

thought, oh, you're the you're the

39:48

person who uh uh gets in the pixels and

39:52

uh designs the flows and absolutely not.

39:55

Like you're actually more more you're

39:57

completely detached from the design

39:59

process. There's a design vertical of

40:01

org org that does all that and uh they

40:04

don't really want you working on that

40:06

stuff. And so that was very difficult

40:07

for me. Because actually when people ask

40:09

me like what do you think you're good

40:11

at? Like at the core I'm a designer.

40:13

Um I I don't consider myself a product

40:15

manager. I'm, you know, great at growing

40:18

things, looking at Mixpanel, and then

40:19

designing the things that make it grow.

40:22

Uh but there's a there's a rift between

40:24

those two things inside of a large tech

40:26

company. And so I loved the academic

40:29

approach to growing, but I I I was

40:31

really hard for me personally as I

40:35

became disconnected from the design

40:36

process. And I think that a lot of my

40:39

skills atrophied over those those four

40:41

years. Um

40:42

but um

40:44

I I did stick around. I went through um

40:47

multiple orgs. Favorite one at the end

40:49

was uh new product experimentation.

40:52

Where

40:53

worked with other founders, uh

40:56

kind of a bunch of legends in Silicon

40:58

Valley building zero-to-one products,

41:01

standalone apps. I mean, I was building

41:03

standalone apps my entire time at

41:05

Facebook. And uh

41:07

I I think I built probably eight apps

41:09

while I was at Facebook. Um Wow. But it

41:12

is it is much much more difficult to

41:15

build apps at a large company. Um

41:18

a lot of the insights that you have are

41:22

not things that you can necessarily

41:24

present or put in writing into in a VP

41:27

meeting.

41:29

Like we're building an app for teens to

41:31

flirt. Like that probably is not what

41:33

you would present to a bunch of McKinsey

41:35

consultants at in uh so

41:40

I think that makes it really difficult

41:42

to be completely intellectually honest

41:44

about what you're building. Um

41:47

And when the team isn't honest about it,

41:50

then it's it's really hard to iterate

41:52

toward the right thing in that context.

41:54

Having said that, there's a lot of

41:56

things you don't have to deal with as a

41:58

product man you I don't have to deal

42:00

with that think about money. I don't

42:01

have to think about, you know, paying

42:03

legal bills or doing finance and

42:05

accounting. And so all that's abstracted

42:07

away, but there is, you know, regulatory

42:10

stuff that you have to deal with that I

42:12

I had zero exposure to as a uh

42:16

as as a founder of a small company.

42:18

Um

42:19

Yeah. An insight you're sharing there

42:21

potentially is

42:23

like the reason a company like Facebook

42:24

isn't amazing at launching completely

42:26

new product zero-to-one stuff is they

42:29

may be a little too risk-averse and it's

42:31

hard to talk about stuff that people

42:32

actually really really want deeply.

42:35

Is that is that kind of the sense there?

42:37

Uh it's hard to really uh verbalize some

42:40

of the re- like the uh the things that

42:43

motivate us as people. And

42:46

I uh

42:47

I had like a pretty

42:49

there there's a tweet I put out that's

42:51

kind of dogmatic in terms of like how

42:54

how I view why people download apps. And

42:57

it's like it's very simple. It's like

43:00

people download apps to

43:02

uh make or save money. Examples of that

43:05

might be like you know, WhatsApp where,

43:08

you know, free texting. And then the

43:11

other reason is to find a mate. So maybe

43:14

like Tinder or Snapchat, find love. And

43:17

the third is to unplug from reality.

43:19

Uh maybe like Netflix or Fortnite.

43:21

There's a bunch of other kind of

43:22

subcategories that are very utilitarian

43:24

like movement, you know, Uber or Airbnb,

43:26

like, you know, shelter. And so I think

43:29

putting that in a framing document and

43:31

the particular nuanced reason

43:34

uh why people are going to adopt it is

43:36

is difficult um as when you're

43:38

presenting that to uh you know, people

43:42

uh

43:42

that are, you know,

43:44

season professionals and uh uh care

43:47

about how something might reflect on

43:49

them personally. And so that's really

43:52

difficult um

43:54

inside of a large company. You certainly

43:56

have distribution advantages. If you

43:58

want to just inject your app into one of

44:01

the parent apps and get density within a

44:03

community, you could do that. But

44:07

that that part I think is probably

44:10

solvable for a startup. Uh if you just

44:13

want to pay for ads or like getting your

44:16

app into a dense friend graph is is

44:20

overall trivial. Like you you

44:23

as a founder you should be able to pull

44:24

it off after enough tries. So that

44:27

advantage that a big company brings

44:29

I mean, it's it makes it easier, but uh

44:31

it's not not something that I think uh

44:34

is something that a founder can't solve

44:36

for themselves. So an interesting

44:38

takeaway it sounds like is many people

44:41

feel like I'm going to build a social

44:42

app. They probably often hear it.

44:45

Facebook's going to do that. Instagram's

44:46

going to copy you. Snap's going to do

44:47

that. And what I'm hearing here is it's

44:49

not as easy as many people think. That

44:51

it might be actually a lot harder for

44:52

them to try something. It's not only

44:55

harder for them to uh identify these

44:59

opportunities and to verbalize it

45:01

internally uh and align the company

45:03

around it. It's it's also hard to

45:06

respond to signals in the market. A lot

45:10

of people think like uh these incumbents

45:13

are going to steal your ideas. And for

45:15

the most part it takes a pretty long

45:17

time for them to respond to even the

45:19

number one app or uh charting in the

45:22

app. Cuz it'll start charting in the app

45:24

store. You know, a PM will make a post

45:27

about it. And then

45:29

uh the the markets strategy or market

45:32

research team might do a study to follow

45:34

up on it. Uh and it'll kind of float

45:37

around for a few months. They they might

45:40

uh put together a framing deck saying,

45:41

hey, we should go after this

45:42

opportunity. Let's put together this

45:44

team. It'll go through VP reviews. And

45:47

then

45:49

uh it'll start development. Development

45:50

might take 6 to 12 months.

45:53

Realistically, I think most companies

45:56

uh large companies take like 12 to 24

45:59

months to respond to competitive threats

46:02

in the market.

46:03

Do you think this is solvable? Is there

46:05

something a company can change to get

46:06

better at this? Are there companies that

46:07

are good at this in your experience or

46:09

is this just

46:10

as you grow, this is just what happens?

46:12

The incentives within large companies

46:15

make this very difficult. Cuz you don't

46:18

want to present something that you have

46:19

a hunch about being a a good idea.

46:22

Because if there's not market signals

46:24

already, then it's hard to defend.

46:28

And people in companies are focused on

46:32

getting their, you know, yearly bonus or

46:34

their

46:35

uh you know,

46:36

uh they're focused on their performance

46:38

reviews. And uh

46:41

it's hard to show up into a a framing

46:43

meeting saying like and framing meeting

46:46

is like a framing meeting where you, you

46:47

know, you position you're you're you're

46:49

positioning the opportunity and

46:50

everything. Here's what we should go

46:51

after. It's hard to like just say, okay,

46:54

uh by first principles this is a good

46:56

idea and here's some like very vague

46:59

market signals.

47:00

In reality, you need to walk in and say,

47:02

here is the number one app in the United

47:04

States and we don't we don't own it. And

47:07

if you present something like that,

47:09

that's pretty defensible on a if you

47:11

fail uh because there was market

47:14

evidence. But if you fail about

47:15

something that's more based on kind of

47:17

vague abstract So you you have to

47:20

generally like the only path is to kind

47:23

of copy existing companies uh existing

47:25

products if if you want to really get

47:27

momentum uh inside inside of a large

47:29

organization. And for new completely new

47:32

concepts, it's I think very difficult to

47:34

present a lot of those ideas uh either

47:36

to verbalize them and into a document or

47:39

to even get rally uh the organization

47:41

around it. That's a really interesting

47:42

insight.

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48:57

Before we move on to the next chapter,

48:59

uh I want to come back to the very first

49:01

thing you said where product management

49:02

is not real. Uh is there anything else

49:05

that you can say about your insight

49:07

there? Or is it basically what you

49:09

described where PMs aren't actually

49:10

involved in design in a company like

49:12

Facebook in your experience? The the

49:14

functional organization structure of Big

49:16

Tech has kind of separated product

49:19

managers from the product development

49:22

process in many ways. They're not

49:24

looking at data cuz data scientists are

49:26

doing that. They're just parsing some of

49:28

the reports that they get back. They're

49:29

mainly just writing documents and then

49:32

kind of being the team secretary and

49:35

running around getting approvals for uh

49:38

from each uh cross-functional team,

49:40

legal, privacy, everything like that.

49:42

And yeah, it's you're you're actually

49:45

very much separated from the product

49:47

itself. And and so I I think like what

49:51

Snapchat has done, and I think Apple too

49:54

to

49:55

to the same extent, is that designers

49:58

run the show. And

50:00

I think that's led to some very novel

50:04

products coming out from both of those

50:05

companies. But I mean, that that is its

50:08

own host of problems because actually

50:10

rolling out a product inside of a large

50:12

organization, it it requires a sheer

50:14

force of will because it's a lot of

50:16

work. I mean, there's a lot of

50:18

regulatory scrutiny, you know, the

50:21

scaling it up like there's you do need

50:23

someone to to project manage. And so I

50:27

don't know if it's the silver bullet as

50:29

to give designers the reign to control

50:33

to run the show, but I also don't

50:35

the the current

50:37

traditional like Google Facebook style

50:40

of being team secretaries is also the

50:43

best solution.

50:44

To defend product managers, I think many

50:46

product managers

50:48

spend a lot of time in design, spend a

50:49

lot of time a lot of time with data

50:50

science. I think probably what you saw

50:52

is like the extreme big big big tech

50:55

version of product management. I know

50:56

even PMs at Facebook

50:58

can, if they want to, spend time with

51:00

design. I think it's just obviously very

51:01

different from a startup world where

51:03

you're just that's all you're doing.

51:05

Yeah, it's certainly an exaggerated

51:07

view, but it's particularly relevant I

51:09

think for all the zero-to-one

51:11

initiatives because like if you're if

51:14

you're a product manager on a standalone

51:16

app inside of a large like you should be

51:18

designing the hierarchy, the pixels, the

51:20

flows, everything. Like and then yeah,

51:22

it should be cleaned up prototype by a a

51:25

technical designer, but that's your idea

51:28

and products live and die in the pixels

51:31

like consumer products. So that that's

51:33

that's on you. And that's that's where I

51:35

think for maybe larger growth

51:37

initiatives, yes, you can have

51:39

you can be a little more detached from

51:41

the pixels. I love that advice.

51:44

Okay, before we move on to the next

51:47

phase of your journey of starting Gas. I

51:49

heard there's an interesting story

51:50

around where you were actually put

51:52

within the Facebook office physically,

51:54

where your team was put. Is that Is that

51:55

Is there something there? Yeah, so our

51:58

our team was actually

52:00

when we joined the new product

52:01

experimentation group,

52:02

we were actually seated I think like at

52:05

the basically the same desk as Mark

52:07

Zuckerberg.

52:09

And that that was pretty cool to see,

52:12

you know, how they how the machine runs

52:15

like from the

52:16

from

52:18

Zuck's view. But we

52:20

we had a few artifacts that we had kept

52:23

with us from our old office when we were

52:25

running TBH.

52:27

And one of them was this

52:29

this kind of pop art painting that I

52:32

bought on the street when I needed to

52:34

get something on the walls for our

52:35

office. And it was this giant painting

52:37

of Tim Cook. We had been carrying it

52:40

between our orgs at at Facebook just cuz

52:43

it was a funny painting. And I kind of

52:45

got it because like it was kind of

52:47

symbolic of who actually controls our

52:48

destiny is

52:50

is Apple.

52:52

And so when we relocated to

52:55

the area where Zuck was sitting, I put

52:57

up the painting on the wall and it was

52:59

basically a giant painting of Tim Cook

53:01

was overlooking Zuck. And eventually one

53:03

of the

53:04

EAs there said, "Actually, do you think

53:08

you could take that home?" And kind of

53:11

made sense because uh

53:13

the you can't really have a painting of

53:15

a of another big tech executive

53:19

overlooking us. What does it look like?

53:21

Do you happen to have it? Yeah, I I

53:23

actually I actually do. Let me let me

53:24

let me go grab it.

53:26

Amazing.

53:27

Oh, wow, that's that's artistic. So

53:30

that's Tim Cook.

53:32

What is the idea there that he's peeking

53:33

through this darkness staring at you?

53:36

Yeah, yeah, he's

53:37

he's the real boss of all of us.

53:41

I could see I could see why Zuck would

53:44

not want that staring at him.

53:46

That's amazing and I like that you still

53:48

have that with you. Yeah, one one of the

53:50

artifacts of that of that chapter of

53:52

life. So good.

53:54

Okay, so so that was your Facebook

53:56

journey. That's 4 years. That's wild.

53:58

You left Facebook.

54:00

At some point you started I just I

54:01

remember this. You started tweeting

54:03

like, "Hey, I'm working on a new app."

54:04

Everyone was going, "What's that? What's

54:05

he working on?" And at this point I I

54:07

think you probably in your mind thought,

54:09

"Hey, I'm this one-hit wonder. I haven't

54:10

shown that I can do this again and

54:11

again." And so I think you probably had

54:13

this motivation. Maybe talk about that

54:15

just like this drive like, "Hey, I want

54:16

to do this again." Is that where your

54:18

mind was at? When that

54:20

meme started, my intent was to start a

54:23

venture-backed company and build

54:26

something, you know, that would scale to

54:30

be a big team and

54:32

this durable thing that

54:34

you know, last many years and

54:35

everything. And so I was like

54:37

I just made, you know, a post that I was

54:39

leaving Facebook and I'm looking for,

54:41

you know, some teammates. And um

54:45

I shared

54:46

a couple of ideas with some people

54:48

privately and it was there were some

54:51

really crazy ideas that I shared. I'm

54:53

not going to get into them, but

54:56

then people started posting, "Oh my god,

54:58

I just saw Nikita's app. It's crazy."

55:01

And what happened was others saw that

55:04

and then they started meaning it. And it

55:07

became this massive like meme like where

55:10

they're like, "Oh, I just I just tried

55:13

Nikita's app. It saved my marriage. I I

55:15

just quit drinking.

55:17

My my kids returned home after all these

55:19

like" and it just it turned into this

55:21

massive meme

55:23

and at the time I I didn't even have an

55:25

app or anything. Like I wasn't even

55:27

planning to launch it. It wasn't even an

55:28

app that the thing that I was some of

55:30

the ideas I was looking at. And

55:33

so it just turned into this viral

55:34

moment.

55:36

I I wasn't really even that fixated on

55:39

building another like I wasn't even

55:42

committed to starting another company at

55:44

that point. I just this was an

55:46

exploration process.

55:48

But what happened was uh

55:51

the market had crashed shortly

55:54

thereafter. There was

55:56

the kind of the end of the ZIRP era.

55:59

The Fed started hiking rates. I think my

56:01

portfolio was down like 30% or something

56:04

and I was like, "Damn, this sucks."

56:07

Uh

56:07

maybe I should think about how to like

56:09

make money today.

56:11

Um just you know, that that's that's the

56:13

reason we're in startups is to to make

56:16

money. And so there was always in the

56:18

back of my head this question that I had

56:21

which was, "What if we had monetized

56:24

TBH?" Cuz the number one support message

56:27

we received was, "Can I pay to reveal

56:31

who sent me polls?" Um those are the

56:34

like number one question. And I it was

56:38

like, "Would it have made even more than

56:40

the acquisition if we just monetized

56:42

it?"

56:43

And so I was and I'm like, "We could

56:45

probably build this pretty fast, like

56:47

probably in a month, month or two."

56:49

Ended up being a lot longer, but um

56:51

we we started rebuilding it. It was a

56:54

new team.

56:55

It was uh

56:57

one of the

56:59

engineers from a company called

57:00

Poparazzi. His name's

57:02

Ze Ze Turner. And he started building in

57:04

my house and uh

57:06

we we had tested it to see would this

57:10

thing

57:12

would this would this

57:13

this new version of TBH actually

57:15

resonate with kids

57:18

uh this 5 years later. That was actually

57:21

the the the thing I wanted to know most

57:23

of all was like would a polling

57:25

anonymous polling app actually still be

57:27

relevant 5 years later? And so we

57:29

dropped it into the uh this this school

57:33

just you know, the same way we we I've

57:35

always done it and

57:36

Was it the Georgia school again?

57:37

Yes, actually.

57:40

We launched at the exact same school

57:42

Wow. that we

57:45

we launched TBH on the exact same day

57:48

Oh, wow. 5 years later. In fact. Um

57:51

and

57:52

uh

57:53

people sent a lot of messages,

57:56

but it wasn't growing. So let me let me

58:00

pedal back here a bit.

58:02

So

58:04

TBH grew through variety of things,

58:08

people sharing their messages to

58:09

Snapchat and

58:11

text invites. And that was 2017.

58:15

And the way you invited your friends on

58:17

TBH was that you tapped their name

58:21

your contact name and there was a button

58:22

that said invite. And then we used

58:25

Twilio to send them a text message. And

58:28

the regulatory environment actually

58:29

changed a lot over those 5 years. You

58:32

really can't send text from a server

58:34

anymore. It has to be sent from the

58:36

device, the user's device. And just a

58:38

point of clarification is

58:40

like a lot of people cloned TBH over the

58:42

years and they think that when you voted

58:44

on people in the polls, it sent them a

58:45

text. We never did that. That's like

58:48

egregiously illegal to do and also

58:50

unethical at a

58:51

user experience level to send text when

58:54

people don't even know that that's

58:55

what's happening. But anyway, you

58:57

couldn't send text over over

59:00

Twilio anymore and that led to people

59:02

not sending as many invites when we

59:04

recreated Gas

59:05

and

59:07

when we created Gas cuz they they had to

59:08

pop they had to pop the compose window

59:11

and hit send every you couldn't just tap

59:13

invite on five names. So we actually had

59:16

to reinvent all the growth systems and

59:19

it took about I think like nine launches

59:23

including renaming the app, including

59:26

like features that just never existed on

59:29

TBH. So it was actually just a in many

59:32

ways like yeah, the concept on the

59:34

surface was the same, but it was a very

59:38

much a

59:39

zero-to-one development cycle

59:42

figuring out how to grow this thing

59:45

again in this in this climate. I know

59:47

that point is really important to you. I

59:48

think a lot of people are like Nikita

59:50

just sold the same app twice. What a

59:53

what a guy. And point you're making here

59:55

is it was not only was like the

59:57

infrastructure completely different, the

59:59

team was different, you had to rethink

1:00:02

the entire flywheel of how it worked and

1:00:03

how it grew. Yeah, and there were so

1:00:06

many layers of like we we we we

1:00:09

validated one thing and then the next

1:00:11

thing we weren't able like we got stuck

1:00:13

on. Like, okay, people will it'll spread

1:00:17

or people send a lot of messages. Cool,

1:00:19

great. The next thing was will it spread

1:00:22

within a school? That took us a while to

1:00:24

get right. Will it hop schools?

1:00:27

Each of those was a very very

1:00:29

challenging problem

1:00:31

in light of the new climate that we were

1:00:33

operating in. And I I always do things

1:00:36

by the book like when it comes to like

1:00:39

operating, you know, like legally within

1:00:42

the the compliance framework

1:00:45

and that's something I when I meet

1:00:47

founders and they tell me some growth

1:00:48

thing that they're doing and I'm like,

1:00:50

you you can't do that. That you what

1:00:53

that's going to cause way more trouble

1:00:55

down the line. It's going to burn users

1:00:58

too. And so we always wanted to make it

1:01:00

abundantly clear how our growth system

1:01:02

like how you were inviting friends and

1:01:04

all that. Can kind of go on a whole

1:01:06

diatribe on that because

1:01:08

the thing that I see a lot of founders

1:01:09

do is they in the background

1:01:12

uh

1:01:12

use user data in ways that it shouldn't

1:01:15

be used.

1:01:17

Like they invite they invite people on

1:01:19

your behalf and all that.

1:01:21

And

1:01:22

I have this kind of crazy view that the

1:01:25

internet is this like living and

1:01:27

breathing thing. There's there's

1:01:28

Wikipedia article called the Gaia

1:01:31

hypothesis which is about biology. And

1:01:34

it it's basically like the earth is kind

1:01:36

of living and breathing and can respond

1:01:38

to threats.

1:01:39

Okay?

1:01:40

And when like you enter the rainforest

1:01:43

too deep, Ebola virus will be released.

1:01:46

Okay? So, I think the internet operates

1:01:48

on a similar paradigm here where if you

1:01:52

are if you do the wrong thing by users,

1:01:55

the internet will come back and and get

1:01:57

even and defend itself. And so we've

1:02:00

always Whenever I design products, I try

1:02:03

to do right by users because it'll

1:02:05

always come back much worse and I think

1:02:08

you should always you know, operate

1:02:09

above board with how you design your

1:02:11

growth systems. And with with with Gas,

1:02:13

we had to you know, do things the right

1:02:15

way and we had to figure out at each

1:02:19

each particular kind of moment of how

1:02:22

problem that we solved like will it

1:02:24

spread within schools? Will it hop

1:02:26

schools? Will people pay for it? All of

1:02:30

all of these things we had to

1:02:32

was a whole reinvention of the original

1:02:34

product.

1:02:35

I love that you shared that because I

1:02:37

think a lot of people see you from the

1:02:38

outside and they think you're doing all

1:02:40

kinds of these skeezy growth hacks and

1:02:43

making teens do things that aren't

1:02:45

really mentally healthy for them, but

1:02:47

it's clear that that's the opposite of

1:02:49

how you think about it that you're

1:02:50

trying to stay very positive like you

1:02:52

only allow positive communication. You

1:02:54

do things that you as you just said are

1:02:56

going to be good long-term. The

1:02:58

internet's not going to come and try to

1:02:59

[ __ ] you down. The point you bring up

1:03:01

here

1:03:02

about wanting to build a positive thing,

1:03:06

there's this like

1:03:09

there's this some people sometimes I get

1:03:10

criticism. It's not actually that often,

1:03:12

but they say, oh, you're building an app

1:03:14

that makes teens feel insecure or

1:03:16

anything, but with Gas, I think we

1:03:18

received a message every single day

1:03:21

about from a user telling us that they

1:03:23

reconsidered suicide or other forms of

1:03:26

self-harm.

1:03:28

The the app sent you positive messages

1:03:30

and affirmations.

1:03:32

Like it made teens feel really good and

1:03:34

I think a lot of that that is lost on a

1:03:36

lot of people. Instagram, you know, can

1:03:39

make you feel jealousy and like a lot of

1:03:41

other social networks kind of are a

1:03:42

mixed bag in terms of impact. But we

1:03:45

were like entirely focused on making

1:03:47

teens feel better. And some people might

1:03:49

say, oh, what if someone doesn't get

1:03:51

voted for something? We actually built a

1:03:54

system to ensure everyone got a vote.

1:03:57

And we what we did was we put your name

1:03:59

in polls at a higher frequency to if you

1:04:02

weren't being voted on recently. So like

1:04:04

we wanted to like spread the love in

1:04:06

every way possible and and that's what

1:04:08

really motivated uh

1:04:11

me to like grow this thing was watching

1:04:14

how it was impacting 10 million kids for

1:04:17

just in in such a short period of time.

1:04:20

I really appreciate you adding that. I

1:04:21

didn't know all those things about the

1:04:22

way you thought about these

1:04:24

these apps.

1:04:25

Interestingly, I don't know how much you

1:04:27

can go into this, but there is a lot of

1:04:30

stuff going on with Gas around human

1:04:33

trafficking and

1:04:34

all the stuff where people thought

1:04:35

people were being kidnapped through Gas

1:04:37

which is yeah, talk about that whatever

1:04:39

you can cuz that's pretty crazy. We had

1:04:41

this hoax started where people were

1:04:44

saying the app was used for human

1:04:47

trafficking and

1:04:49

I I was like this is so strange. This is

1:04:51

a

1:04:52

anonymous polling app without messaging

1:04:55

and

1:04:57

the only thing you could do is send

1:04:58

compliments to your friends. And I

1:05:01

researched into it and I saw that this

1:05:02

is actually plaguing a lot of apps and

1:05:07

any app that has gone viral in any way

1:05:10

has actually had this hoax started. And

1:05:12

part of the reason it happens is it

1:05:14

actually it gets you

1:05:16

attention if you say if you say that

1:05:19

about an app. As a as a teenager if you

1:05:21

say, oh, this app is dangerous and then

1:05:22

you get a bunch of followers. And who

1:05:24

doesn't love followers? So, it's

1:05:27

actually a really like viral piece of

1:05:29

content if you put it out. And so we had

1:05:31

this hoax started and we were like,

1:05:34

this could kill the company and I talked

1:05:35

to a bunch of founders that it happened

1:05:37

to them. And they said, yeah, we had to

1:05:38

shut down because of that. Wow. And

1:05:42

and I I was like, is is this it? Is like

1:05:45

is this the you know, the end of the

1:05:48

company and uh

1:05:50

I remember it hit number one when

1:05:53

we started getting a few of these

1:05:55

reports like in our support channels.

1:05:58

And I was like, I'm just going to plant

1:06:00

the flag and and on post that we hit

1:06:02

number one in the App Store because this

1:06:03

thing's probably going to shut down

1:06:04

soon. So I I make this announcement on

1:06:06

Twitter. I just made the number one app

1:06:08

and I thought it would just be dead in a

1:06:10

week. And then

1:06:12

I I just had this sudden burst of energy

1:06:15

and I was like, I'm going to I'm going

1:06:16

to win. I'm going to fight this. This is

1:06:18

not true. Makes no sense at all.

1:06:20

And so we fought it at every vector

1:06:23

possible.

1:06:24

This completely made up hoax. We

1:06:28

met with journalists, reporters

1:06:30

to make sure that the number one match

1:06:32

every time you search Gas app, human

1:06:34

trafficking was

1:06:36

Gas app is not for human trafficking.

1:06:38

And so that ended up being the

1:06:40

Washington Post headline. We insisted

1:06:42

that that be the headline if we do the

1:06:43

interview. So that was the first thing

1:06:45

that show up on Google anytime someone

1:06:47

searched it. There were schools and even

1:06:50

a police station that posted that this

1:06:52

app is used for human trafficking.

1:06:54

I called those superintendents. I called

1:06:56

those police chiefs and I've got them to

1:06:58

publicly retract it. And we had some of

1:07:01

the reviews on the App Store. We had we

1:07:03

asked Apple to remove them

1:07:05

cuz we got review bombed. But the thing

1:07:07

that actually was the most impactful was

1:07:10

my girlfriend made a video a TikTok

1:07:12

video explaining that it's not true. And

1:07:14

we anytime someone deleted their

1:07:17

account, they could watch this video

1:07:19

explaining it's not true. And at the

1:07:21

peak, we had 3% of users deleting their

1:07:24

accounts per day. So it was like really

1:07:27

it was a catastrophe for for an app. And

1:07:30

we got it down to 0.1%

1:07:33

through relentless relentless effort.

1:07:36

And

1:07:37

it's it was really just

1:07:39

an unusual thing that happens when you

1:07:41

grow really fast is

1:07:43

is this this

1:07:46

this this this human trafficking hoax

1:07:47

that starts. And

1:07:49

you you you don't understand how crazy

1:07:51

it is until it happens to your company.

1:07:54

But it was it was it was it was kind of

1:07:55

hilarious to think about.

1:07:57

This this app was the most harmless

1:07:58

benign thing you could think of.

1:08:01

This is insane. I did not know this full

1:08:03

story. And you were doing all this while

1:08:05

you were trying to scale the app and

1:08:07

trying to keep the servers up and try to

1:08:08

grow it, right? How what was that like

1:08:10

to try to manage all these things at

1:08:12

once? I was sleeping 3 hours a day for 3

1:08:15

months. It was

1:08:18

extraordinarily difficult

1:08:20

to to do it all.

1:08:21

Our team was also relentless though.

1:08:23

Like they would come over to my house

1:08:26

9:00 a.m. stay until midnight

1:08:28

and just do that 7 days a week.

1:08:31

Um so

1:08:33

yeah, it was

1:08:34

it was definitely like one of the most

1:08:35

physically draining things ever, but we

1:08:38

were just so

1:08:40

tactical. I remember investors were

1:08:44

asking to meet with us and I said, if

1:08:46

you can't get a celebrity to post that

1:08:48

this isn't true, then

1:08:51

we we're not interested.

1:08:53

But yeah, we we we went after it on

1:08:54

every vector and

1:08:57

it ended up being okay.

1:08:59

I love how this like you took your brain

1:09:02

to this other completely different

1:09:03

problem and thought about all the levers

1:09:05

you could use to

1:09:07

change the conversation around the app.

1:09:09

Yeah, we we even remember we had these

1:09:11

TikTok videos that were made that were

1:09:13

saying it was true and I had

1:09:15

like I I client I network my way all the

1:09:18

way to the CEO of TikTok and I said, can

1:09:21

you delete these? And we got them this

1:09:23

this information deleted. Yeah, so it

1:09:25

was uh it was really a

1:09:29

a whole new test of our team's

1:09:31

capacities was

1:09:33

fighting The key thing that you have to

1:09:35

know though when you have a hoax

1:09:36

spreading about your app is

1:09:37

Uh you really have to make sure the hoax

1:09:40

is less viral than your app.

1:09:42

And at some at a few points the hoax was

1:09:45

more viral than our app and we had to

1:09:47

we had to take this uh The K factor of

1:09:49

the hoax.

1:09:51

That's absurd. Okay, so

1:09:53

broadly you built this app

1:09:55

again a big success. I saw a stat that

1:09:58

you made $10

1:09:59

or $11 million in sales through the app,

1:10:01

10 million downloads, is that right?

1:10:03

Yeah, it was a blowout success in terms

1:10:06

of like on on

1:10:09

it grew bigger than TBH. We monetized

1:10:11

it.

1:10:12

You know, we ran almost entirely on

1:10:14

startup credits.

1:10:16

So it was basically, you know, like

1:10:17

cloud credits. Like AWS credits? AWS

1:10:20

credits, Mixpanel.

1:10:22

I I I remember I I was like Uh when I

1:10:25

saw the early data I'm like, okay, now

1:10:27

it's time for me to negotiate every bill

1:10:29

down to the last cent of margin for

1:10:32

every vendor. And I got credits

1:10:34

everywhere and

1:10:35

so I I we really were tactical with

1:10:37

that. And so we ended up being, you

1:10:39

know, all all just pure cash flow for

1:10:42

the team. No we had no investors and Uh

1:10:47

and it was just so interesting though

1:10:48

that like the way that I started posting

1:10:50

about it on Twitter was it kind of

1:10:53

captured the zeitgeist of of the

1:10:56

internet. And we didn't intend on

1:10:59

selling it. We were just going to let

1:11:00

this thing run its course and just be

1:11:02

this app that kind of lives in the

1:11:03

background of our lives.

1:11:04

Um but

1:11:06

uh

1:11:07

once it started capturing like the

1:11:09

zeitgeist of Twitter I was like, wait a

1:11:10

minute, we could probably sell this

1:11:11

thing. And and that's when we started

1:11:14

engaging with

1:11:16

you know, some of these we ended up

1:11:17

getting yeah three three companies that

1:11:19

wanted to to buy it. Won't be able to

1:11:21

say all of them but ultimately we ended

1:11:23

up selling to

1:11:24

Discord

1:11:26

and we uh we we we joined Discord.

1:11:29

Awesome. So

1:11:31

before we move on to the next part of

1:11:33

the journey and some of the other

1:11:34

insights that I want to get into

1:11:37

is there any lasting lessons that you

1:11:39

took away from Gas as a product that you

1:11:41

take with you to advising startups in

1:11:43

terms of building the product design? I

1:11:44

know there's many but any that stand out

1:11:47

most that you think are really

1:11:48

interesting to share? I think I kind of

1:11:50

touched on this before which was trying

1:11:52

to validate things in in a sequence of

1:11:55

like

1:11:56

will people use the core flow? Will

1:11:58

people spread it within their peer

1:12:00

group? Will it hop peer groups? And what

1:12:02

I think the most important thing is

1:12:05

that I learned is that's actually a a

1:12:07

really great way to do a zero to one

1:12:09

product development is execute at 100%

1:12:12

for the thing you're trying to validate

1:12:15

at that specific stage of the product

1:12:17

development cycle. And then the rest can

1:12:19

kind of you can kind of half-ass the

1:12:20

rest just so you can get 100% signal on

1:12:23

that one part. And so we made the

1:12:26

polling experience just perfect. The

1:12:28

questions were great, you know, push

1:12:30

push notification everything worked. And

1:12:32

then the next stage was like getting

1:12:33

sharing and virality working. And so

1:12:36

compartmentalizing those things because

1:12:39

ultimately you'll have too much scope

1:12:40

creep if you try to solve everything at

1:12:42

once and validate. And also you're not

1:12:43

going to get signal to like you're

1:12:45

trying to test one thing at a time. So

1:12:47

the way that now I approach a lot of

1:12:49

consumer product development is like if

1:12:50

this is true then what next needs to be

1:12:53

true for this thing to work out and

1:12:55

these layers of conditional statements.

1:12:57

And the more layers you have the higher

1:13:00

risk your product is. So you should try

1:13:01

to condense it to about like four things

1:13:03

that must be true for the thing to work.

1:13:06

And this comes back to your advice of

1:13:08

the thing you need to get good at is

1:13:09

testing and learning and making it

1:13:11

really quick.

1:13:12

Yeah. Okay, maybe one last thing along

1:13:14

this thread. I'm just really curious how

1:13:16

this hoax came to be. Like who's behind

1:13:18

it? How does this happen? We got a

1:13:20

original support message which

1:13:24

uh

1:13:25

which was a

1:13:26

a screenshot of a story on Snapchat.

1:13:29

Okay? And it said, do not download the

1:13:31

Gas app, it's for human trafficking.

1:13:33

Okay? And it was a screenshot that had

1:13:37

like

1:13:38

uh kind of that mirror effect where you

1:13:40

have like uh 10 like 10 people had

1:13:42

screenshotted it. Like more like 40

1:13:44

people cuz it had like all the usernames

1:13:46

of

1:13:47

So I was looking at this and I'm like,

1:13:50

how much visible how like how how many

1:13:52

people had seen this? Uh and it looked

1:13:55

like a viral thing on Snapchat. And then

1:13:58

I went to the App Store page and I saw a

1:14:00

review that

1:14:03

that said this app is for human

1:14:05

trafficking. And I went to my team and I

1:14:08

said you know, we

1:14:11

this this might this will probably kill

1:14:12

the company. This will kill the product.

1:14:15

I I've seen this before with consumer

1:14:19

apps

1:14:20

and it's evident to me this is going to

1:14:22

be 10 times bigger tomorrow.

1:14:24

And

1:14:25

they were like, no, it's just one one

1:14:26

message. What do you mean? I'm like, no,

1:14:28

no, it's been screenshotted 40 times and

1:14:29

now it's on the App Store page. Like and

1:14:32

we got another message 4 hours later.

1:14:35

And uh

1:14:37

and the next day it was our entire App

1:14:39

Store page was just covered with reviews

1:14:42

saying that the app's for human

1:14:43

trafficking. And

1:14:45

we actually had to rebrand the app. We

1:14:48

we relaunched it once uh

1:14:50

and we're like

1:14:53

we let's just call it something

1:14:54

different. Just relaunch it on the other

1:14:56

side of the country. We did that.

1:14:58

Started going viral again. And uh

1:15:02

the

1:15:03

the craziest thing was

1:15:05

it

1:15:06

re-emerged. And what happened was one

1:15:10

user was friends with another person in

1:15:12

another state and they got an

1:15:14

invitation.

1:15:15

And that user told them, oh, that was in

1:15:18

my state, it's actually for human

1:15:19

trafficking. And then it just completely

1:15:21

started again. And

1:15:24

and then it was too late at that point

1:15:25

to relaunch again.

1:15:28

I would just realize we just got it we

1:15:29

got to we got to fight this thing and

1:15:31

and uh

1:15:32

ultimately I don't think we'll ever know

1:15:34

the true origin but

1:15:37

yeah, it was

1:15:38

uh

1:15:39

it was it was definitely a living

1:15:41

breathing

1:15:43

like

1:15:44

hoax.

1:15:45

That is insane. That the story just gets

1:15:47

more and more interesting. What are the

1:15:49

what were some of the previous names by

1:15:50

the way? Is that something you can

1:15:51

share? Yeah, we went through a bunch. We

1:15:53

had like Uh one of them was called

1:15:56

Crush, one of them was called Melt and

1:15:59

another was

1:16:01

The interesting thing about Crush is we

1:16:03

got a great domain. We thought this was

1:16:04

this would be the name. Uh this was

1:16:06

between the some of the like rebrands.

1:16:09

We tested it and we saw that invitations

1:16:13

dropped significantly under the Crush

1:16:15

name. And we were like, what's going on

1:16:17

here? And we found that actually when

1:16:19

you invite someone to an app

1:16:21

regardless of the app you generally met

1:16:24

boys invite boys, girls invite girls to

1:16:27

apps.

1:16:28

And boys didn't want to invite their

1:16:31

friends to an app called Crush a pink

1:16:33

with a pink icon. And then we looked at

1:16:35

the data and the app I mean this was

1:16:38

true of TBH too which was the app

1:16:40

indexed about 60 to 65% women. So we're

1:16:44

just like let's make the app more

1:16:45

masculine and see what happens. We need

1:16:47

balance on this. So we we made the icon

1:16:50

black with a flame, called it Gas and

1:16:53

the invites rate jumped. And uh

1:16:57

you think a name doesn't matter but

1:16:58

right at the moment of sending an invite

1:17:00

yeah, you uh

1:17:02

So that was one of the interesting

1:17:03

insights of on the the naming process.

1:17:07

Man, there's just endless stories that

1:17:08

we could keep getting into but we've

1:17:10

also gone very long. So I'm going to try

1:17:12

to move on Yeah. to another topic. So I

1:17:14

asked people on Twitter what to ask you.

1:17:17

Just that question got a thousand likes.

1:17:19

Just me asking what should I ask Nikita?

1:17:22

And the most common question I'm sure

1:17:23

you get this a lot is just people

1:17:25

wondering do you ever want to build a

1:17:26

durable consumer app? Is it possible to

1:17:29

build a durable consumer app? Scott

1:17:30

Belsky asked this. Robert at Figma asked

1:17:33

this and Scott actually had a really

1:17:34

nice way of describing it. About why are

1:17:37

so many quick sensation consumer

1:17:39

consumer apps proving to be more akin to

1:17:41

summer songs than enduring standalone

1:17:43

products and businesses. There's kind of

1:17:45

two questions here. One is

1:17:47

do you want to build a

1:17:48

do you aim to build a

1:17:50

durable consumer app and two

1:17:52

how possible is it?

1:17:54

A lot of the fundamental like

1:17:57

tools for communicating with our friends

1:18:00

either you know

1:18:01

messaging

1:18:03

or posting broadcasting one to many like

1:18:06

on stories or

1:18:08

you know, those

1:18:09

the incumbents have kind of built pretty

1:18:12

large moats in terms of network effects

1:18:15

and to provide true like

1:18:19

like an order of magnitude better

1:18:21

experience is non-trivial because

1:18:23

they've been actually improving these

1:18:24

products so much over the years. And

1:18:27

there's actually not there's not that

1:18:29

many entry points. Not not to say that

1:18:31

it's not impossible. Snapchat was showed

1:18:33

that there was a style of messaging that

1:18:36

people wanted that the incumbents

1:18:38

weren't serving.

1:18:40

But I think there's these kind of edges

1:18:42

that you can go after with a much higher

1:18:44

probability of success and they might

1:18:47

not actually be something that's durable

1:18:50

necessarily. And I think finding

1:18:52

durability for a

1:18:54

like communication or social product

1:18:57

that's a black swan event.

1:18:58

You like retention for consumer social

1:19:03

is like there's a tremendous amount of

1:19:06

randomness. There's like one every

1:19:09

decade. If it was simple I I would just

1:19:11

be printing one trillion dollar

1:19:14

companies.

1:19:15

I'd be printing Facebooks every time I

1:19:17

sat down. But I think it's actually a

1:19:20

lot of it is pure randomness.

1:19:23

On the other hand, growing a product

1:19:25

can be a science.

1:19:27

With certainty, if you're good at your

1:19:29

job, you can make an app grow and go

1:19:31

viral. Now,

1:19:34

why haven't I tried to take the viral

1:19:36

part and build something that has been

1:19:40

durable or long-lasting? I'll tell you a

1:19:42

little bit about my motivations. My

1:19:44

favorite part about product development

1:19:47

is you make this thing, you know,

1:19:50

through the night, you build it, and you

1:19:52

watch it take over the internet. That is

1:19:55

the most thrilling drug, I think you

1:19:57

could you could ever experience. And and

1:20:01

and just watching it spread all over the

1:20:02

country

1:20:03

is like you you drop an app in, you

1:20:06

know, the uh

1:20:08

the deep south in Georgia, and then you

1:20:10

look on your analytics dashboard, and

1:20:13

40% of the high school down your street

1:20:15

in Los Angeles has downloaded it 1 week

1:20:18

later. Like that's a really profound

1:20:20

feeling, and it's it's just it's crazy

1:20:22

to have that sort of impact as a

1:20:23

three-person team, and I I live for

1:20:25

that. When I joined Facebook, uh this is

1:20:29

I'm

1:20:30

like the here's here's an interesting

1:20:31

connection. You So, I joined Facebook,

1:20:33

and I saw that many of my peers were

1:20:35

like looking up to VPs, and they're

1:20:37

like, "That's what I That's what I want

1:20:39

to make it to one day."

1:20:40

And I want to run a large organization.

1:20:42

I want to have lots of reports.

1:20:45

And and then I met with VPs,

1:20:48

and they were actually jealous of me.

1:20:49

Because

1:20:51

my quality of life was actually pretty

1:20:52

cool. I I I got to build something high

1:20:55

impact that uh made many teens feel

1:20:59

better about themselves, made a de-

1:21:01

decent amount of money, and then I

1:21:03

wasn't, you know, uh in charge of this

1:21:06

becoming a people manager that has to

1:21:08

run this large organization for for many

1:21:10

years. And so,

1:21:11

I think one day I will

1:21:13

uh run maybe a venture scale business

1:21:15

that uh but I uh

1:21:18

I I I I will say that I kind of like the

1:21:21

way that I've been doing things so far

1:21:23

uh in terms of quality of life and being

1:21:26

fun. Financially, it's been great. So, I

1:21:28

think uh that that part is what

1:21:31

motivates me. And yeah, I'm I'm I don't

1:21:34

think

1:21:35

uh

1:21:36

you know,

1:21:37

running a large corporation is

1:21:38

necessarily what I describe as fun.

1:21:40

That's amazing, man. I really I'm really

1:21:42

happy we went here. Uh so much of this

1:21:44

resonates with

1:21:45

the way I think. And uh obviously, a big

1:21:48

part of this is also just it's very

1:21:50

hard, as you said, to build build a

1:21:52

consumer app that grows, first of all,

1:21:53

second, that actually lasts. But that is

1:21:56

interesting that you do hope to one day

1:21:59

build a

1:22:00

uh venture-funded

1:22:02

business.

1:22:03

I mean, TBH was venture-backed, but uh

1:22:06

I I just don't like I I I think I'm

1:22:09

going to have to like do I want to sign

1:22:11

up for 10 years? And if you actually

1:22:13

look at some of the numbers uh on like

1:22:16

the the actual proceeds that some that

1:22:19

some of these founders get after an IPO

1:22:21

after seven rounds of dilution, a lot of

1:22:24

them are pretty comparable to what we

1:22:26

get from our apps for 90 days of work.

1:22:29

So, um

1:22:31

yeah, they uh the tradeoffs there are

1:22:33

pretty uh pretty favorable.

1:22:35

Actually, just on that on that note, so

1:22:37

what would make you actually decide to

1:22:38

go venture-funded? You talked about how

1:22:40

if you're going more mainstream,

1:22:41

non-teens, folks after 22 years old, is

1:22:44

that why you would go that route?

1:22:47

I don't think that like it's necessarily

1:22:49

that part. It's more uh I think if

1:22:52

uh the

1:22:54

if I if if I could keep the team lean

1:22:58

and and scale up I I think, you know,

1:23:00

there's there's some actual uh

1:23:03

founders that actually operate very lean

1:23:05

teams and have reached very large scale

1:23:09

in terms of the valuations of the

1:23:10

company. Like actually, the the most uh

1:23:13

iconic example is Elon Musk. His teams

1:23:15

are actually pretty thin overall, and

1:23:17

he's he's in the weeds doing product

1:23:19

development. And so, I I think yeah, if

1:23:23

if I was to ever do it, I'd do it under

1:23:25

very specific set of

1:23:28

uh operating principles

1:23:30

uh versus turning it into a big tech

1:23:32

company.

1:23:33

Q investors emailing you right now uh

1:23:36

with term sheets.

1:23:37

Okay.

1:23:39

Nikita, this has been amazing. Uh

1:23:40

there's one last segment I want to spend

1:23:42

a little time on, which is just kind of

1:23:44

a rapid fire of pieces of advice you've

1:23:46

shared that uh I think is incredibly

1:23:48

insightful about how to build a

1:23:50

successful consumer app.

1:23:52

And so, Nikita, I'll just go through

1:23:53

like three to five and see what you

1:23:55

think and see what you can add to the

1:23:57

advice. That's How does that sound?

1:23:59

Sounds great. Okay, cool. So, so the

1:24:01

first is just uh contact permissions in

1:24:03

iOS 18 changes the game in how people

1:24:06

can grow apps. Basically, makes it

1:24:08

harder to invite your friends.

1:24:10

Thoughts on how people should be

1:24:11

thinking about this in their

1:24:13

in their products? I uh when I first saw

1:24:16

it, I was I was really concerned. Uh

1:24:19

this is the

1:24:19

about it. You're like, "That's the end.

1:24:21

Game over."

1:24:22

Just let me let me frame things up for

1:24:24

you. The contact permission screen,

1:24:27

you you know, you you average about 65%

1:24:29

approval rate across all apps. Higher

1:24:32

It's higher for teens, uh lower for

1:24:34

adults. And

1:24:36

but if you have a 65% consenting to

1:24:39

contacts access, then the next step on

1:24:42

this new iOS 18 change is you select

1:24:45

which contacts you want to allow the app

1:24:47

to access.

1:24:48

And it's an alphabetical list, and that

1:24:51

alphabetical list for me, I have 550

1:24:54

contacts or something, the first 10

1:24:55

contacts are punctuation symbols from

1:24:59

whatever like dirty entry I put when I

1:25:02

was driving or something. So, you have

1:25:04

to scroll down and find that name. So, I

1:25:06

have to find Lenny. I have to add you.

1:25:09

And what if you're not an app user? So,

1:25:12

I just added you and or three others.

1:25:15

Like as assuming users are willing to

1:25:17

even do that, and then you like

1:25:20

you and then the three others never sign

1:25:22

up, but maybe three of your friends do.

1:25:24

But I never get connected to them

1:25:25

because

1:25:26

uh there's there's no over So, it

1:25:29

the my ex- expectation is

1:25:32

the it's going to be very difficult to

1:25:34

find friends on apps going forward, to

1:25:36

invite friends on apps going forward.

1:25:39

And that founders will need to rethink

1:25:42

how they do it. And

1:25:44

of the of the companies I'm working with

1:25:47

on on intro, we are looking at ways to

1:25:50

reinvent what contact sync is, or what

1:25:54

it what what purpose it served. It's not

1:25:56

promising, but we have we have some good

1:25:59

leads. And I think we'll have a whole

1:26:02

new set of apps emerging as a

1:26:05

consequence. But if you're betting on

1:26:06

contact sync as a company right now,

1:26:09

yeah, you you better

1:26:10

uh better start

1:26:12

uh thinking about plan B.

1:26:14

So, the what I take away here is just it

1:26:16

is now much different, and there's an

1:26:18

opportunity to think of something really

1:26:20

clever that would give you a huge

1:26:21

advantage if you can crack it.

1:26:23

Yes. But most likely, I think most apps

1:26:26

will not have social graphs going

1:26:28

forward, and this will entrench

1:26:29

incumbents even more. I I don't think

1:26:32

Apple uh acknowledged that. I think the

1:26:34

person that designed the feature

1:26:36

probably have has never

1:26:39

built an app or done contact sync before

1:26:42

because the flow is egregiously bad, and

1:26:45

it

1:26:46

it doesn't actually even, I think,

1:26:48

benefit the user's privacy because it

1:26:49

just completely eliminates

1:26:51

the feature altogether. Okay. Next

1:26:54

topic. So, you uh helped uh this product

1:26:57

called Dupe succeed. It's doing

1:26:59

incredibly well from what I can see, and

1:27:00

I saw your tweet about

1:27:02

one of the key things that you helped

1:27:04

them through, which is to invert I'm

1:27:06

reading this quote "Inverting the time

1:27:08

to value

1:27:09

so that the user experiences the aha

1:27:11

moment in seconds."

1:27:13

Talk about that insight and how

1:27:14

important that is to building a

1:27:15

successful consumer social app.

1:27:17

The this kind of concept of getting

1:27:19

users to the aha moment is something I

1:27:21

recurringly bring up to every company I

1:27:23

work with. And

1:27:25

you have to understand that in 2024,

1:27:28

people's attention spans are like 3

1:27:31

seconds. It's really sad, but, you know,

1:27:33

we are we're we're spread thin through

1:27:35

so many notifications, products,

1:27:37

everything,

1:27:39

that if you can't demonstrate value in

1:27:41

the first 3 seconds, it's over. And And

1:27:43

this also leads back to the contact sync

1:27:45

question that you talked about was you

1:27:47

have to sign up, and then the first

1:27:49

night you have to see all of your

1:27:50

friends on the app and experience it,

1:27:53

otherwise you'll you'll churn. So, this

1:27:56

idea of like inverting the value, uh

1:27:58

when I was working with Dupe, they had

1:28:00

this kind of shopping app that had a

1:28:02

bunch of different features, and there

1:28:04

was one feature that I saw that was

1:28:06

interesting called DealHop. And it

1:28:07

allowed you to just, you know, put in a

1:28:10

product page, and it would find uh the

1:28:12

cheapest version of it online.

1:28:14

Um something I already do kind of

1:28:17

through a bunch of duct-taped methods of

1:28:20

Google image search, Google Lens.

1:28:23

And uh I was like, "That should be a

1:28:26

That should be a whole company. But how

1:28:28

are we going to teach users to do it,

1:28:31

and how do we expose them to that aha

1:28:33

moment as fast as possible in a

1:28:35

memorable, iconic way?"

1:28:37

And I had this product I I built a while

1:28:40

back where you just type the domain in

1:28:42

front of an existing URL. So, I said I

1:28:44

should told them, uh you should try

1:28:46

this. Uh it's like very marketable, and

1:28:49

but you need to get a very short domain

1:28:51

that matches the what you're doing. And

1:28:53

so, he went out and bought dupe.com for

1:28:55

I don't know how much. But it was when

1:28:57

he bought that, I was pretty uh pretty

1:28:58

excited. I'm like, "Well, I I if this

1:29:01

doesn't work, I'm going to feel

1:29:02

terrible, but if it does work, it's

1:29:03

going to be a blowout success." And so,

1:29:06

we he put out a couple videos about it,

1:29:08

and then, you know, it was iconic, went

1:29:10

viral uh the videos. Users remembered to

1:29:13

do it, to type dupe.com in front of a

1:29:15

URL. And now I think they're you know

1:29:18

making millions in ARR

1:29:21

in a matter like and and I think on

1:29:22

under 60 days of launching and that that

1:29:26

was a blood success and

1:29:28

of the companies I work with like

1:29:30

you know that rare like I would say it

1:29:32

happens about 50% of the time we hit

1:29:34

that much success but the

1:29:36

we hit success. I think 50% of the time

1:29:38

it's outright failure because

1:29:40

consumer is so random. And so what I'm

1:29:42

hearing is a

1:29:43

big insight is just

1:29:45

ideally get the 3 seconds time to value.

1:29:48

Is that the advice? Yeah. Yeah.

1:29:51

Sounds great. Easy peasy.

1:29:54

Yeah.

1:29:56

You you really have to craft you know

1:29:58

onboarding everything to to ensure that

1:30:02

and it's yeah it's it's uh

1:30:04

that's where

1:30:07

the design part comes in of being a

1:30:09

great product person.

1:30:11

I imagine a big part of this is just

1:30:12

cutting things you think like killing

1:30:14

your darlings cutting things you think

1:30:16

people need and just being really

1:30:18

ruthless with that.

1:30:20

Really ruthless but also being

1:30:22

extraordinarily creative with

1:30:25

how you use

1:30:27

the tools available to activate a user

1:30:31

and I think extraordinary product people

1:30:35

are deeply aware of every possible API

1:30:38

and how it can be

1:30:40

used in non-traditional ways.

1:30:42

Like this URL trick was something that I

1:30:44

think you know was non-traditional that

1:30:47

people adopted very quickly.

1:30:50

I have like a whole laundry list of

1:30:53

iOS mechanisms that could be read that

1:30:55

people use for a certain way today but

1:30:57

you could invert them

1:30:59

contact sync is a great example because

1:31:01

you you know you sync your contacts and

1:31:02

then it finds all the friends and then

1:31:03

ranks the people who are not on the app

1:31:06

yet but have a bunch of friends on it.

1:31:07

So there's there's a bunch of

1:31:09

ways that you can one tap

1:31:12

expose a ton of value to users that uh

1:31:16

that I think founders often neglect and

1:31:20

the

1:31:21

yeah a lot a lot of founders will go and

1:31:22

say oh they can just exchange usernames

1:31:25

and that's how they can add each other.

1:31:27

That is the most like unrealistic thing

1:31:28

ever because that means you have to see

1:31:30

the username type it into the app. If

1:31:33

you do that what

1:31:34

50 times to get a 50 friend person

1:31:36

friend list?

1:31:38

So we're think we're looking at

1:31:40

like 10,000 taps versus one.

1:31:43

So that's that's what I mean by trying

1:31:45

to get people to to the activation

1:31:48

moment the aha moment and get them

1:31:51

get get get them to value. I love that

1:31:53

advice.

1:31:54

So maybe as a just a last question along

1:31:56

these lines when you come to a a founder

1:31:58

relationship that you're

1:31:59

a startup you're trying to help

1:32:03

is there one more thing that you find

1:32:05

often ends up being really helpful to

1:32:06

them any common piece of advice that's

1:32:08

like oh this is probably what's going to

1:32:10

help you. You talked about this aha

1:32:12

moment step the sharing contact sharing

1:32:15

stuff. I guess is there anything else

1:32:16

that's just like this is something

1:32:17

that's probably going to help you with

1:32:18

your app?

1:32:20

Right now I think I advise around 35 36

1:32:23

companies

1:32:25

and all of them are at kind of different

1:32:28

stages of challenges they're facing.

1:32:32

Some of them are you know pure at the

1:32:35

product concept stage some of them are

1:32:38

you know venture backed billion dollar

1:32:40

companies and each of them faces

1:32:43

different problems and I think the first

1:32:45

thing I often do is I

1:32:47

ask them to

1:32:50

show me the analytics.

1:32:51

We look at how people are distributing

1:32:53

the app today. What's the what is the

1:32:57

milestone the user must hit to become

1:32:59

activated and what's getting in the way

1:33:01

of that.

1:33:03

I also take a very deep look at

1:33:06

every funnel that users come through and

1:33:10

I think

1:33:11

uh

1:33:12

a lot of founders separate marketing and

1:33:17

product growth

1:33:18

like top of funnel growth from from from

1:33:21

the actual product's growth mechanisms

1:33:23

but they're they're both the same.

1:33:25

They're both like they both should be

1:33:26

treated as the same.

1:33:28

Like if

1:33:30

if you're targeting a a community and

1:33:34

you want them to all adopt and get

1:33:35

saturation you need to

1:33:39

build marketing that shows imagery of

1:33:42

that community or whatever and then when

1:33:44

you get in the app you have to be able

1:33:46

to join that

1:33:47

that and when you invite people to the

1:33:49

from that app that community needs to be

1:33:51

mentioned. So

1:33:53

you need to actually cover every the

1:33:54

mark like everything from the ads to the

1:33:57

in-app experience to the all of that

1:33:58

needs to be aligned for a user

1:34:00

acquisition and flywheel to spin.

1:34:03

A lot of people really screw that up.

1:34:05

That's kind of kind of my initial kind

1:34:07

of rough approximation of what I do when

1:34:09

I come in and try to fix some of the

1:34:11

try to help with some of the challenges

1:34:13

these companies are facing.

1:34:14

Okay. So this is actually a great segue

1:34:16

to the final

1:34:17

thing I want to make sure people

1:34:18

understand is you help companies through

1:34:20

this. Talk about how you work with

1:34:22

companies where they can find you what

1:34:24

kind of companies you're looking to work

1:34:25

with and how all that works.

1:34:28

Yeah.

1:34:29

So I work across the gamut. Most of them

1:34:31

are like consumer mobile companies and

1:34:36

there certainly are web ones too but I

1:34:38

I work with companies across stages.

1:34:40

Typically I recommend that you don't

1:34:43

book me unless you're venture backed.

1:34:44

It's cuz it's a little expensive but my

1:34:47

main goal when

1:34:50

when someone does seek my advice through

1:34:52

intro is I I try to make them like

1:34:57

10 times back their money in the first

1:34:58

30 days and so far I think I've I've

1:35:01

managed to do that with anyone who's

1:35:03

who's met with me.

1:35:04

And that means like

1:35:06

get all the table stakes growth things

1:35:08

out of the way at the minimum then

1:35:11

identify

1:35:13

two to three step function changes that

1:35:16

could change their growth trajectory and

1:35:18

these are higher scope fundamental

1:35:19

changes to the product. So I try to

1:35:21

couple both

1:35:23

explain to them which one I which

1:35:25

direction I believe they should go and

1:35:27

then it's a conversation and we talk

1:35:28

about it and and then once they kind of

1:35:31

settle on a direction

1:35:33

I

1:35:34

I I tend to get in the pixels. I go into

1:35:36

Figma and we do a live session together

1:35:38

and kind of clean things up

1:35:40

I identify oh that that's going to

1:35:41

convert at this percent that's going to

1:35:43

and then I like just manage all that and

1:35:44

then but yeah it's generally like post

1:35:47

series A some you know seed seed stage

1:35:50

companies and it's it's been really fun.

1:35:53

It's kept my you know my mind sharp on

1:35:58

like where the market's headed. I've

1:36:00

also kind of over the years of building

1:36:02

all these apps I've accrued all these

1:36:03

growth hacks that still are nobody knows

1:36:06

about and so I share those with when it

1:36:09

when it's relevant for the company. And

1:36:11

it's it's been great.

1:36:12

Yeah Dupe was one of them. I I was

1:36:15

advising Saturn I rebuilt their friend

1:36:16

finder. They're

1:36:18

I think believe they're number one in

1:36:20

the productivity section above chat GPT

1:36:22

as of today. I think I've but I think

1:36:24

I've generally invested in about maybe

1:36:27

10% of the companies

1:36:29

that that seek out my advice.

1:36:31

Amazing. Well I know it feels expensive

1:36:34

to some people but if I were a company

1:36:36

with cash it feels like the best deal I

1:36:40

could find someone like you to come in

1:36:41

and actually help me

1:36:43

think through deeply like in the pixels

1:36:45

how to make my thing work. So

1:36:47

I think you're still undercharging and I

1:36:48

hope you keep raising your prices cuz

1:36:50

clearly there's a lot of demand. Nikita

1:36:52

this was incredible. I feel like people

1:36:54

see on Twitter and they're like oh this

1:36:55

guy is such a jerk sometimes but like

1:36:57

meeting you in person and talking to you

1:37:00

it's very clear you're really kind dude

1:37:02

really thoughtful.

1:37:03

All your advice is based on like real

1:37:05

things you have done it's not just you

1:37:06

sitting around pontificating and I think

1:37:08

that's incredibly valuable and I'm

1:37:10

excited people are tapping that

1:37:12

knowledge and you're sharing with people

1:37:13

and in a wider scale.

1:37:15

It's it's been a pleasure. Thanks for

1:37:17

having me.

1:37:18

We covered a lot and uh

1:37:21

there's there's there's plenty more. I

1:37:22

have to come back

1:37:24

after the next viral hit.

1:37:26

Oh man this I was going to ask you is

1:37:27

there anything you're working on now or

1:37:28

is stages what can you share about?

1:37:31

The next Nikita Stay tuned. Here we go.

1:37:34

Amazing. I always ask people how can

1:37:36

listeners be useful to you so let me

1:37:37

just ask you that as a final question.

1:37:39

How can listeners be useful to you?

1:37:40

Follow me on Twitter and enjoy my [ __ ]

1:37:43

posts

1:37:44

and I hope you you have as much fun with

1:37:46

me as me on on Twitter. I do man. I love

1:37:49

your tweets and Nikita thank you so much

1:37:52

for doing this and for being here.

1:37:54

Yeah. Thanks a lot. Bye everyone.

1:37:58

Thank you so much for listening. If you

1:37:59

found this valuable you can subscribe to

1:38:01

the show on Apple podcasts Spotify or

1:38:04

your favorite podcast app.

1:38:05

Also please consider giving us a rating

1:38:07

or leaving a review as that really helps

1:38:10

other listeners find the podcast.

1:38:12

You can find all past episodes or learn

1:38:14

more about the show at

1:38:15

lennyspodcast.com.

1:38:17

See you in the next episode.

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