What do you find as the best data source for house prices? 

like what most people don't get about the AI is that, currently, in 2024, the AI will become a sudden giant because there's world war three among data centre elephant and data modeler : microsoft vs google vs meta vs amazon, they are the one that's buying thousand of nvidia gpu with the hop one day that one small company or startup can replace the incumbent like google , pfizer All their purchase makes every single nvidia employee can buy a house in santa clara county easily lol. it would impact REI by a lot later on as employment and employability or group of persons would change.

Good on you for making the decision you did - bottom line, we have to make hard decisions every day with the data we have stacked against our own experience and professionalism. 

It seems that this is a great way to get started in real estate (Jay, I know that's one of the ways you got started), but it doesn't seem as easy to find info on comps and data for raw land as it does for houses, multifamily, townhomes, etc. 

Both of us still very driven to get our first deal but wanted to see if it is something people go through initially and when did they land their first deal.

The seller can submit papers to a virtual data room, and the buyer often develops a list of questions for the target company.

Since multifamily requires trailing data to sell, typically a minimum of 3 months, building that data during this phase can be very advantageous to position your property for a sale in the next phase, at the height of the market.Today we are arguably in a Recession phase in the majority of multifamily markets.

Whether browsing areas or specific properties, touching, tasting and feeling the property and it's surroundings are essential data points.

Happy to share data in the area. 

This could be an employer who wants to take in an employee or a company that wants to give an independent contractor access to some of their resources such as data to execute certain tasks.The receiving party: this is the party obtaining information from the disclosing party and he bears the greater burden of maintaining the confidentiality of the information given by the disclosing party.Both parties are usually charged with maintaining the confidentiality of the information, limiting third-party access to the information and limitation of the use of the information to the purpose stated in the agreement.In mutual and multilateral NDAs, the disclosure of information and the obligation to maintain confidentiality goes both ways.