Nikita Bier posted that most large companies survive purely by continuously launching products and using elimination to discover what works. He wrote: There is no rhythm, reason, or belief in anything they do.

The post did not name specific products or financial figures, but instead described the growth of large companies as a trial-and-error inventory: first laying out a row of launches, then seeing which ones survive. He himself sold TBH to Meta, then became the head of product at X, observing how large companies use traffic and experimental groups to consume smaller products.

This aligns with his recent commentary on Muse's decision-making. Muse introduced automated pricing into Facebook Marketplace, knowing that robots would hurt sellers, yet it was framed as being able to "only poison a little." Within the elimination framework, poisoning is not a strategic mistake, but just another launch, waiting for data to decide whether to retract.

The advantage of large companies, he noted, is their capacity to endure ineffective launches: budgets, distribution, and existing users allow most actions to be taken without belief. Small teams must have a reason before starting; large companies can start first and then provide reasons for the one that remains.

The incremental information turns "experimental culture" into a survival algorithm. A/B testing and gray scaling are no longer science, but a way to exchange scale for not having to think things through first. Lack of belief is not a management failure, but a default state allowed by scale.

In market mechanisms, this is organizational narrative. The buy side bets on platform distribution, advertising inventory, and the ability to shut down failed products and launch the next one; the sell side seeks independent companies with clear product beliefs. The flow of funds favors giants with room for trial and error. The beneficiaries are platforms that control distribution; the pressured are startup teams that must hit the mark every time.

Source: Public Information