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25 August 2024

How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps (co-founder of TBH, Gas, advisor, investor)

6Frameworks
14Insights

Frameworks in this episode

Innovation5 steps

Artificial Density Testing

Manually cram enough users into one cluster to get a clean yes/no on a social product

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Strategy4 steps

Conditional-Layer Validation

Reduce a consumer product to ~4 things that must be true and validate them one at a time

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Marketing4 steps

Inverted Time-to-Value

Engineer the aha moment into the first 3 seconds using non-obvious platform mechanics

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Innovation4 steps

Latent Demand Detection

Find product ideas where people already fight through a distorted process to get a value

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Marketing3 steps

The Age-Invitation Curve

Target the age band still adding social connections, or plan to buy every user with ads

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Communication5 steps

Viral Hoax Counter-Attack

When a hoax threatens your app, treat it as a growth problem and out-viral it on every vector

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Myth Buster· 1

Myth Buster30:30

Following Every Kid at a School Was Testing, Not Growth

Founders DM Nikita saying they copied his school-by-school seeding tactic and it stopped working. He clarifies a widely misunderstood nuance: manually following students and getting a whole school to adopt was how he tested apps to reach ~100 users, not how the apps actually grew. Real growth had to come from the app spreading by itself once enough density was reached.

  • Manually seeding a school got the first ~100 users to eliminate confounding variables
  • This proved whether the product had legs, not how it scaled
  • A social network needs enough intensity and density to start the flywheel
  • After that threshold the app should grow by itself

“This is not the way we grew the app. This is how we tested apps.”

Nikita Bier · 30:30

“But for like the first 100 users, yes, that's how we got them.”

Nikita Bier · 31:00
#growth#seeding#testing#network-effects

Hot Take· 2

Hot Take49:00

"Products Live and Die in the Pixels"

From his years at Facebook, Nikita argues big-tech product managers are largely detached from the actual product, mostly writing documents and shepherding approvals across functions. He believes designers should run the show for zero-to-one products, and that a PM on a standalone app should own the hierarchy, pixels, and flows. His blunt line: products live and die in the pixels.

  • Big-tech PMs are often separated from the product development process
  • Much of the role is writing documents and getting cross-functional approvals
  • For zero-to-one apps, the PM should own the hierarchy, pixels, and flows
  • Companies like Snapchat and Apple let designers run the show

“They're mainly just writing documents and then kind of being the team secretary and running around getting approvals”

Nikita Bier · 49:00

“products live and die in the pixels”

Nikita Bier · 51:00
#product-management#design#big-tech#hot-take
Hot Take1:18:30

Durability Is a Black Swan; Growth Is a Science

Nikita argues that building a durable consumer social product is essentially a black swan event with enormous randomness, roughly one per decade, because incumbents have deep network-effect moats. Growth, by contrast, is a science he can execute with certainty. If durability were repeatable, he says, he'd be printing trillion-dollar companies every time he sat down.

  • Durable consumer social products are black swans, roughly one per decade
  • Incumbents hold deep network-effect moats with few entry points
  • Retention for consumer social carries tremendous randomness
  • Growing a product, unlike durability, can be done with certainty

“finding durability for a like communication or social product that's a black swan event.”

Nikita Bier · 1:18:30

“With certainty, if you're good at your job, you can make an app grow and go viral.”

Nikita Bier · 1:19:00
#durability#consumer-social#growth#hot-take

Explainer· 4

Explainer11:30

Why Build for Teens: Invites Drop 20% Per Year of Age

Nikita explains the empirical reason consumer social apps target teens: the number of invitations a user sends drops about 20% for every additional year of age from 13 to 18. Older audiences invite almost no one, so apps built for adults have to buy every user with paid ads and heavy venture capital. Teens also see each other daily and have malleable habits, which is why network-effect products need them.

  • Invitations sent per user fall ~20% for each additional year of age from 13 to 18
  • After about age 22 it becomes extremely hard to get the flywheel spinning
  • Adults rarely invite others, so you acquire them with expensive ads
  • Teens see each other daily and have malleable communication habits

“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…”

11:30

“A lot of failures to realize no one needs another app after that age.”

16:30
#consumer-apps#growth#teens#network-effects
Explainer14:00

Every Tap on a Mobile App Is a Miracle

Moving from web to mobile forced Nikita to rewire his thinking because mobile apps have a very low margin for error. Users switch between apps constantly and churn fast, so every single tap is scarce and must be optimized. He treats each interaction as something you can't take for granted.

  • Mobile apps have a low margin for error in design
  • Users switch between apps at high frequency and bounce quickly
  • Every tap is scarce, so everything should be optimized around it
  • Web-to-mobile required a full recalibration of his approach

“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…”

Nikita Bier · 14:00

“So every tap that you get, every single one is so scarce that you should be optimizing everything.”

Nikita Bier · 14:30
#mobile#product-design#retention
Explainer43:00

The Three Core Reasons People Download Apps

Nikita shares his dogmatic mental model for why people download apps: to make or save money, to find a mate, or to unplug from reality. He gives examples like WhatsApp for free texting, Tinder or Snapchat for finding love, and Netflix or Fortnite for escape, plus utilitarian subcategories like movement (Uber) and shelter (Airbnb). He notes it's hard to state these true motivations plainly inside a large, image-conscious company.

  • People download apps to make or save money, find a mate, or unplug from reality
  • Examples: WhatsApp (save money), Tinder/Snapchat (find a mate), Netflix/Fortnite (unplug)
  • Utilitarian subcategories include movement (Uber) and shelter (Airbnb)
  • Naming these blunt motivations is hard inside a large company

“people download apps to uh make or save money.”

Nikita Bier · 43:00

“And then the other reason is to find a mate.”

Nikita Bier · 43:00
#product-strategy#motivation#consumer-apps
Explainer1:24:30

iOS 18 Contact Permissions Break How Apps Grow

Nikita explains why the iOS 18 contact-permission change is a serious threat to viral app growth. Even with a ~65% approval rate, users now must hand-pick individual contacts from a messy alphabetical list, making friend-finding and invitations far harder. He predicts most apps won't have social graphs going forward, entrenching incumbents, and says anyone betting on contact sync needs a plan B.

  • Contact-permission approval averages ~65%, higher for teens, lower for adults
  • iOS 18 forces users to select individual contacts from a messy alphabetical list
  • Finding and inviting friends on apps becomes much harder
  • Most new apps likely won't build social graphs, entrenching incumbents

“if you're betting on contact sync as a company right now, yeah, you you better uh better start uh thinking about plan B.”

Nikita Bier · 1:25:30

“most likely, I think most apps will not have social graphs going forward, and this will entrench incumbents even more.”

Nikita Bier · 1:26:00
#ios-18#contact-sync#growth#platform-risk

Story· 3

Story26:00

The #1 US App Was in Arabic: Spotting Latent Demand

While sketching what became TBH, Nikita noticed the number one app in the United States was Sarahah, an anonymous-message app whose entire interface was in Arabic. He read that as the strongest possible signal of latent demand: people wanting a value so badly they'll use a broken, foreign-language product to get it. He advises founders to look for people obtaining value through a distorted process, then crystallize what they actually want.

  • The #1 US app, Sarahah, was entirely in Arabic yet still topped the charts
  • That is the strongest signal that people want something
  • Latent demand = people pursuing a value through a distorted process
  • Crystallizing the real motivation can produce intense adoption

“The number one app in the United States was in Arabic.”

Nikita Bier · 26:00

“the strongest signal that you could ever have that people want something”

Nikita Bier · 26:30
#latent-demand#product-ideas#tbh#virality
Story1:04:30

Fighting the Gas App Human-Trafficking Hoax

As Gas went viral, a false rumor spread on Snapchat that the anonymous polling app was used for human trafficking, threatening to kill the company. Nikita fought it on every front: getting journalists to run corrective headlines, calling superintendents and police chiefs to retract claims, and having his girlfriend post a debunking TikTok. Deletions peaked at 3% of users per day and were driven down to 0.1% through relentless effort.

  • A viral Snapchat hoax falsely claimed Gas was used for human trafficking
  • Any app that goes viral tends to attract this hoax because it earns attention
  • He insisted the Washington Post headline debunk the claim so it topped Google
  • Account deletions hit 3% per day at peak and fell to 0.1% after the counter-campaign

“So that ended up being the Washington Post headline. We insisted that that be the headline if we do the interview.”

Nikita Bier · 1:06:30

“at the peak, we had 3% of users deleting their accounts per day.”

Nikita Bier · 1:07:00
#gas#crisis-management#virality#reputation
Story1:16:00

Why "Crush" Became "Gas": Boys Won't Invite to a Pink App

During the Gas rebrands, one candidate name was Crush, with a pink icon and a great domain. Testing showed invitations dropped sharply, and the data revealed that boys invite boys and girls invite girls, and boys wouldn't invite friends to a pink app called Crush. Since the app indexed 60-65% women, the team made the icon black with a flame, renamed it Gas, and the invite rate jumped.

  • "Crush" tested with a pink icon and invitations dropped significantly
  • Boys invite boys and girls invite girls to apps
  • The app skewed 60-65% women, so they deliberately made it more masculine
  • A black flame icon and the name Gas raised the invite rate

“boys invite boys, girls invite girls to apps.”

Nikita Bier · 1:16:00

“So we we made the icon black with a flame, called it Gas and the invites rate jumped.”

Nikita Bier · 1:16:30
#branding#naming#growth#gas

Takeaway· 4

Takeaway19:00

A Reproducible Testing Process Beats Any Single Idea

Because whether a consumer product works is so unpredictable, Nikita argues the biggest lever on success is not the idea but the process for taking many shots at bat. He instructs teams to build a reproducible testing process, which he says influences the probability of success more than anything else. Getting good at fast testing and learning is the core skill.

  • Consumer product outcomes are highly unpredictable
  • A reproducible testing process influences success more than any single idea
  • Focus on process for taking many shots at bat to reduce risk
  • His first mobile app took ~1 year to build; his last took ~2 weeks

“the most important thing that I often instruct teams to do is to develop a reproducible testing process and that will actually influence the probability…”

Nikita Bier · 19:00

“if you actually focus more on your process for taking many shots at bat, that that's what actually reduces the risk more than anything.”

Nikita Bier · 19:00
#testing#process#consumer-apps#iteration
Takeaway32:30

Put 24-Hour Live Chat Support Inside Your App

Nikita recommends every company embed live chat customer support in the app, running around the clock. Beyond giving users a white-glove experience and removing a confounding variable, it's the best vehicle for user research because users literally tell you their problems. His support lead would paste standout feedback into Slack, and good ideas became features.

  • Embed live chat support in-app, 24 hours a day
  • It removes a confounding variable and gives a white-glove experience
  • Best channel for real user research and feedback
  • Interesting feedback fed straight into feature decisions

“put live chat customer support in your app like like 24 hours a day.”

Nikita Bier · 32:30

“users will literally tell you what the problem they're having.”

Nikita Bier · 33:00
#customer-support#user-research#product
Takeaway36:00

Product-Market Fit Is Binary: You'll Know

Asked about benchmarks for product-market fit, Nikita relays advice from founder Roger Dickey that if your product is working, you'll know, and any uncertainty means it isn't. For consumer products it's effectively binary: people fight to get in, servers break, and you invent new metrics. For TBH the metric wasn't daily active users but hourly actives per day.

  • For consumer products, PMF is essentially binary
  • If there's any uncertainty, it's not working
  • Signals include people fighting to get in and things breaking constantly
  • TBH tracked hourly active users, not just daily actives

“If your product's working, you'll know.”

Nikita Bier · 36:00

“our our metric was hourly actives per day. Not daily active users, hourly active users.”

Nikita Bier · 36:30
#product-market-fit#metrics#consumer-apps
Takeaway1:27:00

Deliver the Aha Moment in the First 3 Seconds

Nikita stresses that with 2024 attention spans around three seconds, an app that can't demonstrate value in the first three seconds is over. Working with Dupe, he inverted time to value by turning a buried DealHop feature into the whole product and buying dupe.com so users could type it in front of any URL to find cheaper versions. The iconic, memorable mechanic went viral and drove millions in ARR within about 60 days.

  • In 2024, attention spans are roughly 3 seconds
  • If you can't demonstrate value in the first 3 seconds, it's over
  • Dupe inverted time to value with a type-dupe.com-before-any-URL mechanic
  • The memorable trick went viral and reached millions in ARR in ~60 days

“if you can't demonstrate value in the first 3 seconds, it's over.”

Nikita Bier · 1:27:30

“Users remembered to do it, to type dupe.com in front of a URL.”

Nikita Bier · 1:29:00
#onboarding#aha-moment#dupe#product-design