Interesting data - I still wonder where the western NC second home market is going to settle out from all of this.100%+ price increases since 2019, prices seem down a little from the 2023 peak, but it also looks like a seller's strike in the market I'm occasionally looking in.Not that many listings, still elevated prices, and properties either get pulled after 3-4 months or there's a grindy sales process and eventually someone buys for a little less than the previous comp.

@Shilpa GollamudiNevada, Reno is appealing to many CA investors because it has no state income tax, strong job growth (tech, data centers, lithium), and it's close enough to CA for easy visits.

The "Hopeful Investor" usually hits a wall the moment the first maintenance emergency happens at 2 AM.I really resonate with your point about STRs being hospitality assets rather than just passive real estate.Operating on the ground in Cape Town, I’ve seen many international owners struggle because they treat it like a traditional rental and underestimate the operational systems required to maintain that 90%+ occupancy Eric DeNardo mentioned above.While tools like PriceLabs are essential baselines, I’ve found the real 'Strategy' comes from integrating that data into a live stakeholder dashboard (like Monday.com) so the owner isn't left in a 'black box'.The 'Real Money' is made in the operational execution and navigating the local compliance/demand drivers before you buy.Curious, how are you currently bridging the 'Transparency Gap' so your remote owners feel as connected to the asset as if they were local?

As a fellow investor and CPA, I can tell you that your background gives you a massive edge in understanding the data-driven side of real estate.Since you're already a high-income earner, one of the most powerful moves you can make is looking into the Short-Term Rental (STR) loophole or Real Estate Professional Status (REPS).

Yeah scraping Auction is smart but the real edge is what you do with the data after it lands in your lap.If you already have Apify pulling all new foreclosures each morning, I’d tighten it up by baking your buy box into the scraper so it only keeps stuff that roughly pencils in, like estimated ARV times 0.7 minus a ballpark rehab and fees still leaves you with your target equity.

Also to focus on actual B-class pockets, I would also suggest extracting data by crime statistics, median household income and school ratings.

Not sure if that is accurate, but that is what it showed with the data I entered.

I can tell by this if it's the specific location or design/layout or condition that's driving demand.I can then take what I learn through that reconnaissance and pair it with the data sets available online to form a more informed view of the neighborhood’s trajectory.

These subtle signals can provide valuable information that may not be evident from the numbers alone.As I've experienced, you’re like a detective, gathering data that's not exposed by the numbers.Documenting the property tour with photos and videos is essential for detailed analysis.

One data point (yield shift, buyer count drop) appreciated.