But I love your point- which is AI makes so much competitive data more easily accessible and- actionable.

Census data shows Springfield as #3 in population decline amongst mid size cities.

Based on our data, it. takes several hundred calls to even get an appointment. 

This is what the data and numbers show.

Here's a few things that help me: For macro industry trends, I like the STR Data Lab podcast by AirDNA and Jamie Lane. 

Keep in mind these cities become hot because of past data, not future.

I use my license for multiple activities: Of course- comps, when buying and when selling, tax data- to see what I am about to pay when i own the home ( for long term holdings), check the DOM (days on the market) for the subdivision I am either buying on, or when I plan on selling, etc. 

Rent payments from the medical LLC are fully deductible as a business expense, while the property-owning LLC will report the rent as taxable income, which can be offset by deductions for expenses like mortgage interest, property taxes, maintenance, and depreciation.To ensure compliance, document how FMV was determined—using market comparisons, an appraisal, or similar data—and draft a formal lease agreement outlining the terms, rent amount, and responsibilities.

I'm also getting lots  of mixed feedback and data.

While algorithms can analyze data at scale, real estate isn’t just about numbers—it’s about nuances and the most important component of real estate is understanding its value, and that to me (maybe I am old school) but can only be done by physically visiting and walking the property.So for me, factors like local market conditions, property inspections, and borrower credibility can’t be fully captured in a formula.