Quote from @Joe Daniel: Quote from @Dave Harlan: Quote from @Joe Daniel: Hey Dave, lots of investors build their buyers list by tracking activity from local public records especially recent cash purchases, LLC transfers, and repeat buyers in the county.It helps you identify who’s actually buying right now instead of collecting random emails.If you ever want to talk through ways to source or organize that data efficiently, happy to share what I’ve seen work well for others. 

Ultimately, it’s the buyer who shoulders the cost - often tens or hundreds of thousands of dollars.Myth #2 – An agent will help you find a fair priceThis may have been true before websites like Zillow and Redfin, which today allow buyers to access an unprecedented amount of market data.

Clean, localized, well-segmented data tends to outperform UI once costs tighten.From what I’ve seen working with different datasets, how those addresses are sourced makes or breaks downstream efficiency.Curious how you’re sourcing or filtering the addresses that feed into the API flow — manual criteria, stacked lists, or something else?

In my HCOL area (median SFH is ~$1m), NAR data from Nov 2021 showed ADUs added less than $20k of value (NAR about one month ago pulled their data on pretext of it being old but I believe the data was pulled because it did not conform to the ADU narrative beneficial to NAR.   

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?

.• Use a full background screening, not a single data sourceAt a minimum, look for credit, nationwide criminal history, eviction records, and judgments or liens.

We recommend multiple tools to our clients depending upon what they needCRM > Followup Boss Data Tool > Batchleads | 8020REI | DataFlikData Management > REISift | BatchleadsSkiptracing > DirectskipSMS Marketing > Smarter ContactRVM > Smarter ContactCold Calling > ReadymodeDirect Mail > YellowletterhqIn my 5 years of experience in lead gen.. i have seen people getting success only by staying consistent on marketing. 

Your just buying data.

I’m also a data scientist, so the idea of a ZIP-level screener definitely resonates.A few things that could make this more useful:• clearer sourcing/definitions for metrics (e.g. whether home price reflects list prices, sale prices, or a model)• visibility into which ZIPs are included in the upgrade• coverage beyond core cities to include inner-ring suburbs• more market context (e.g. competitiveness, school ratings, renter/owner mix)• ability to segment by property type (e.g.

Economic data this morning reinforced the same theme markets have been grappling with all week: cooling but not collapsing.