That market is a race to the bottom, so if you are not competitively priced you will not get bookings.

It’s probably beating a dead horse but it just depends on the deal, but I would say there are still deals to be had for sure, just having to look a little harder.

Regardless of age, race, religion, background, nationality or literally any other differentiator. 

And yet, the platform is still recommending pricing that’s significantly higher than what other units are going for – likely because it doesn’t factor in discounts and last-minute deals being manually added by other hosts.Meanwhile, it feels like we’re in a race to the bottom.

In terms of pricing we call this a "Race To The Bottom". 

My ML model then analyzes available property listings combined with market data (crime rates, appreciation trends, school scores, etc.) to recommend properties that align with the user’s goals — cash flow, growth, or safety.I’m trying to be extremely careful to ensure that my system does not cross any legal lines, especially with regard to Fair Housing laws or algorithmic bias concerns.While the model doesn’t discriminate on protected classes (race, gender, etc.), it does consider factors like crime rates, school quality, and local economics — all of which can indirectly overlap with sensitive social patterns.

We are picking up speed on the race to 8 doors.

The Fair Housing Act (FHA), a federal law, prohibits discrimination in housing based on race, color, religion, sex, disability, familial status, and national origin.

Nascar is just down the street, think "It's Bristol Baby" with many racing events and Holiday Lights tour, concerts and the first ever MLB game in the state of TN.

I'm hoping to come into a small amount of money soon once I sell some property I own in WV. Is it too early to start contacting realtors and asking questions about the next market I'd like to invest in? I've narrowed ...