Scalable Growth·2009·Succeeded

Airbnb

In its earliest days, Airbnb — then still called AirBed & Breakfast — was struggling. The founders had listings live on the site, but bookings were sparse, and when they dug into why, they found a simple, unglamorous problem: the photos hosts had uploaded of their own apartments were often dark, badly framed, and unappealing, making it hard for a stranger to trust the listing enough to book it.

The response wasn't a new algorithm or a marketing campaign. Cofounders Brian Chesky and Joe Gebbia, along with early team members, personally flew to New York, rented a camera, and went door to door to their hosts' apartments, taking professional-quality photographs themselves, for free, one listing at a time.

It didn't scale, in any conventional sense of the word. It was slow, manual, and entirely dependent on a handful of founders physically showing up. And it reportedly worked immediately — revenue in New York roughly doubled within weeks of the better photos going live, simply because guests could finally see, clearly, what they were booking.

The tactic became one of the most cited examples in startup circles of a principle that sounds almost contradictory: to eventually build something that scales, founders sometimes have to personally do the unscalable thing first — the thing no algorithm or hired team could yet do as well as the founders themselves, standing in the room, solving the actual problem directly. Airbnb didn't automate its way to trust. It manually built enough of it, one apartment at a time, to learn precisely what needed automating later.

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