Sold comps are really the only data that shows what buyers are actually willing to pay, so focusing there makes sense.

I started looking into more things a LLM (large language model) would be capable of doing and started working on a couple features to help with some of the repetitive data entry I was doing every month.I'm curious about learning how people do bookkeeping and some of the things they dread doing?

I'm curious if anyone has had success with a data provider or site that tracks sale dates as they change. 

The investors and operators that still transact consistently tend to be the ones who underwrite conservatively and pressure-test numbers before anything goes out.From my side, a big part of what I do is helping connect investors who value clean data and realistic assumptions, so fewer people waste time on deals that were never going to pencil.

If you go the cold call / sms route, pull data from PropStream or Propwire (free option) and focus on motivated sellers - high equity, absentee owners, pre-foreclosure.

But honestly, don't just show up empty-handed - bring something valuable like market data on a specific neighborhood or a deal you're analyzing.

I LOVE data.

Also consider using data tools such as ListSource and PropStream to compile and verify investor contact lists.

Great data.

It is a data-intensive area of real estate, which is highly competitive, and takes quite a bit of time to see any payoff.