Here’s how they approached it:1.Scraping Listings: They used web scraping tools like Beautiful Soup and GPT APIs to scan Airbnb for properties in their target areas.2.Image Analysis: They trained an AI model to analyse listing photos, identifying homes with solid potential (good structure, layout, location) that were undervalued due to low-quality photos.

You're in charge of this hands-on approach.

Or you have to take a value add approach to make it worth the hassle. 

Your focus on the Dallas market and Fix and Flip projects sounds solid, especially with the DIY approach and having an interior designer on your team. 

Both approaches fail because they forget the most important part of the deal: EMOTIONS.

What approach is correct?

@Melanie AlzugrayInvesting in a resort you and your family enjoy is a fantastic approach.

Can try to reposition to Class B, but neighborhood may impede these efforts.Vacancy Est: Historically 10%, but 15-20% should be used to also cover tenant nonpayment, eviction costs & damages.Tenant Pool: majority will have FICO scores of 560-620 (approaching 22% probability of default), many blemishes, but should have no evictions in last 2 years.

@Alec DresslerYou’re on the right track using tools like AirDNA, but for better data, consider the paid version or platforms like Mashvisor for detailed rental analytics.

There sure are fast track approaches to this but really depends on strategy.