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We use a linear model with binary extension of several properties of a listing to learn the current value of different listings as it is on the market.

We combine this daily with an analysis of how much hosts and hotels are already increasing their prices and whether they book or not to see how much our learned base price should be increased for the Super Bowl.

The dataset is based on publicly available data from Airbnb and Homeaway.

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"We use a linear model with . . . . . " ... that's what most HN'ers clicked the link for; and not to actually search listings. I wish you had linked to a nice, long nerdy writeup about the product, instead of the product itself (which, while interesting in general, is not as much for this crowd).

Great call on sharing a more robust write-up. We're going to be watching the market closely over the next 10 days and will share more here.

For our team, one of the more interesting aspects of continued observation will be a more fine-grained understanding of price elasticity around such a major event.

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