In my experience, most pre-packaged “lender lists” are static and widely circulated, which means the data can be outdated or already contacted by many investors.The bigger issue usually isn’t having a list — it’s whether the lenders are currently active in your specific market and still funding deals.I’d be curious to hear from anyone who’s actually used it and closed deals from it.

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.

Data the applicant enters seems to frequently not be verified and it allows for complete omissions in fields and hides important information such as social security numbers from landlords. 

Ensure the amounts & all the data are correct.

The data underscore that pricing power at the business level has not cooled meaningfully and continues to pose upside risk to the Fed’s preferred inflation gauges.

@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.

TurboTenant is another that seems very intuitive and affordable but I have years of data I dont want to lose moving to another software. 

I agree with sharing the market level data with Unit A and see what they say.

The compound annual growth rate (CAGR) for 2013-2023 (latest data available) is 5.17%, while the inflation is 2.72% CAGR.Low Crime Rates: Avoid cities with high crime rates.

Nearly $100 billion in AI data center projects were delayed last year, largely because communities said, “We don’t want that near us.”