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TBH

by Nikita Beervia Lennys Podcast
Otherviralfreeexisting-tool-frustration
See all Other companies using viral
Growthviral
Time to PMF9 weeks
Pricingfree
Built in2 weeks
The Spark

After four to five years of building 15 different consumer apps across various categories and audiences—from mapping apps to chat apps to event apps—Nikita Beer's studio finally identified the winning formula. The breakthrough came from a senior in high school who shared a trend called TBH (To Be Honest) that was happening on Snapchat: users would post an image of emojis and get anonymous feedback from peers. At the same time, Nikita noticed that Sarahah, an entirely Arabic-language anonymous messaging app, had become the #1 app in the United States. "The entire app was in Arabic," he recalled. "That was one of the most...like the strongest signal that you could ever have that people want something." The insight was clear: teens wanted a vehicle for anonymous feedback, but the anonymous apps were leading to bullying and self-harm. Nikita's breakthrough idea was to strip away the typing and replace it with pre-authored polls that guaranteed only positive feedback. "People want to know good things about themselves," he realized.

Building the First Version

TBH launched in just two weeks—a dramatic improvement from their first mobile app, which took a year to build. The team had learned to move fast through disciplined testing processes. They seeded the app strategically into a high school in Georgia that had the earliest start date in the United States, needing to launch as quickly as possible since the company was running low on money. One team member had even put in their two weeks' notice the day before launch. The founder called his lawyer asking how to dissolve the company.

Finding the First Customers

The app immediately exploded. Within the first 24 hours, 40% of the school had downloaded it. In the first week, users sent 450,000 messages—compared to the typical 3-4 messages on day one for most messaging apps, TBH was hitting 60. The servers started crashing. Watching the app climb the charts, Nikita looked at his metrics and thought: "We will be number one in the United States in like six days." But then he looked at the Amazon bill ($120,000) and the bank account ($150,000) and realized the unit economics didn't work. He had to pause growth, geofence the app by state, and immediately fundraise to keep the infrastructure online.

What Worked (and What Didn't)

The explosive adoption revealed what product-market fit actually looks like in consumer products. As Nikita puts it, "If your product's working, you'll know. And there if there's any uncertainty, it's not working." At TBH's peak, the app was hitting 360,000 installs per day. The key mechanics worked: positive-only feedback, anonymity with named recipients, and a frictionless polling interface. The geofencing decision—which seemed counterintuitive—actually gave the team breathing room to maintain stability and prepare for the next wave. Within nine weeks of launch, TBH had become a multi-bidder acquisition target. Nikita demonstrated the app's dominance to potential acquirers with a real-time map dashboard showing installs lighting up entire city blocks in real time.

Where They Are Now

Nikita Beer sold TBH to Facebook for over $30 million, joining the company as a product manager in its youth division. Though the four-year tenure at Facebook exposed him to the academic rigor of large-scale product development, he ultimately felt constrained by the separation of product management from design and the difficulty of launching truly novel ideas within organizational structures prioritizing defensibility over experimentation. He would go on to sell his second major app, Gas, to Discord, and became an advisor and investor in companies like Wealthsimple, Citizen, and others.

Why It Worked
  • By identifying a specific frustration with existing anonymous feedback apps (bullying and self-harm) and solving it with a constrained product mechanic (pre-authored positive-only polls), TBH addressed a genuine teenage need that competitors overlooked.
  • Strategic seeding into the earliest-starting high school in the US created a natural launch window and compressed timeline that forced disciplined execution, resulting in a viral feedback loop where 40% of a school adopted the app within 24 hours.
  • The free pricing model combined with frictionless polling mechanics generated extraordinary engagement density (60 messages per user on day one versus 3-4 for typical messaging apps), which signaled product-market fit so clearly that acquisition interest followed within nine weeks.
  • The founder's prior experience shipping 15 different consumer apps taught him when to move fast (two-week launch) versus when to pause growth (geofencing to manage infrastructure costs), enabling sustainable momentum rather than catastrophic failure.
  • Word-of-mouth became the dominant growth channel because the product delivered such concentrated social value within a bounded community that organic peer recommendation was inevitable.
How to Replicate
  • 1.Identify a specific dysfunction in an existing popular product category rather than building a new category—in this case, notice that leading anonymous apps like Sarahah were causing harm, then solve for that explicit problem.
  • 2.Build a constrained product mechanic (positive-only feedback via polls) that removes the variable causing the harm, making the core need achievable without the negative side effects.
  • 3.Find a geographic or demographic cohort with a natural time constraint (earliest-starting school in the US) where you can seed the product to create immediate adoption velocity and test product-market fit under real conditions.
  • 4.Establish clear unit economics from day one and pause growth strategically if infrastructure costs exceed runway—use geofencing or similar constraints to maintain stability while maintaining the viral signal, then fundraise to scale sustainably.
  • 5.Launch with a free model and frictionless interaction pattern (tap pre-authored options rather than type) to maximize daily active user engagement; track engagement density (messages per user) as your primary product-market fit indicator, not just download velocity.

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