Isn't this just *obviously* the way the typical consumer's most important transaction should want to work? People are worried if they can make the math work. Me, less so, but that aside: few would say "Sign me up for the traditional sell/buy process!" with this as an option.
Ignoring the "new experience" thing which is product speak for "We stitched everything together in a web app", substantively:
1) You ask Opendoor for a quote. 2) They give you a hard quote and accept sale contingent on you winning target house. 3) You share pre-qual letter.
A "pre-qualification" letter is a document from a mortgage broker or originator that says "Contingent on you submitting a bunch of documentation, indicatively, we think we can underwrite you for a mortgage up to $X." Most common use is showing to seller to say "I could swing it."
4) Opendoor, in reliance on your ability to get a pre-qual letter, says "Find a house. We will purchase it *in cash for you*." 5) Opendoor syncs the sale of house #1 and purchase of house #2 to eliminate days where you own either 0 or 2 houses. 6) Opendoor sells you house @ cost.
7) You close on the new home (from Opendoor, not the original owner) using the mortgage you got from either the lender which did the pre-qual offer, another lender, or maybe even Opendoor itself.
(Like all sellers, they're almost ambivalent to the choice of lender.)
The "we will purchase it in cash" pushes you to the top of the line in negotiations with house sellers because it removes one key dimension of their buyer quality matrix, which is "execution quality" (the likelihood you will be able to close in a timely fashion w/ financing).
Many, many, many deals fall through due to e.g. buyer's remorse or buyer wasn't able to PM themselves through getting a mortgage or "Whoops, turned out you're not underwritable and nobody knew that until late in the day."
Sometimes sellers will take less $ for more certainty.
Opendoor is the *maximally* ideal buyer from an execution quality perspective.
"Hello I am a real estate professional. I buy houses all day. I am utterly uninterested in anything about this property and have no personal emotional attachment to it. I will pay with wired cash."
"Would you like to close tomorrow or would you prefer to take your chances? Day after tomorrow? I'll be here. A week from now? Maybe. But as soon as you say Yes I sign. Why? You don't even need to know why."
And Opendoor can even tolerate some presumably small amount of breakage on the second leg of that transaction because "Oh well we're holding a house that we bought at around market; good thing selling houses is literally all we do."
(It's presumably small because you're likely contracted to buy it unless something serious comes up and because you, a recent homeowner, would far prefer to live in a house than have to rent or put stuff in storage and live in a hotel while trying to find a house the old way.)
Disclaimer for scrupulosity purposes rather than because it matters: I own something like 200 shares of OpenDoor which I bought when they announced the SPAC deal, on the thesis that "automated marketmaking for houses" basically has to exist in the world someday.
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Let me illustrate with a single paragraph why this is obviously the future of e.g. equities research:
Substack has made it incentive compatible for the world's various obsessed experts on various topics to hire themselves out to the Internet rather than hiring themselves out to e.g. financial intermediaries, and then they do the sort of deep work that experts do.
Also: holy me do I not want to be the investment banker who let a math error work its way into an IPO prospectus.
e.g. I owe the National Tax Agency (Japanese IRS) some math every year about all of my overseas assets, including those which did nothing in a year, and the process of collecting that information looks something like this:
Non-AngelList investment from 2012: get docs out of Dropbox, grep inbox to see if e.g. this is the one that I remember signing the docs about a corporate transaction this year or not, math math math, en-spreadsheet.
AngelList: download report on all, send to accountant, done.
Some brief elaborations from the cutting room floor:
The essay talks about cross-subsidization at a few points. One fascinating form of cross-subsidization was that credit cards *changed who ultimately pays for an individual's use of credit.*
This had huge ramifications for small businesses, which are historically (and currently) horrifically capital constrained almost all of the time. They also have extreme difficulty in lining up traditional bank financing.
Credit cards let merchants opt-in to financing customers.
A quirky feeling I've had on our covid-19 response is that some institutions have difficulty doing things which are *clearly* within our capabilities while others are pushing boundaries in their respective fields.
Construction worker: Sensei, is that the last of them?
Me: Pardon?
CW: The kids. Are most of them [past the construction site or should I stay directing traffic]?
Me: I'm afraid I don't know; I came from the other way.
CW: Not from school?!
Me: No.
CW: You're not the English teacher?
Me: No, she's a young Filipina woman and I *gestures*.
CW: ... So you're not a teacher?
Me: Correct.
CW: Why the PTA badge then?
Me: ...
CW: OH I GOT IT. Sorry. Thanks.
And *sigh* the possibility of this dialog happening with a police officer is why I am very, very careful to put on my PTA badge prior to getting close to the school.
I'm doing some podcast editing (for the first time in almost five years!) and Descript ( descript.com ) is as close to magic as anything I've ever used.
There's some AI/ML under the hood which lets you edit audio as text. It's mindblowing.
Auto-generated transcript includes:
"Uh that's an interesting question, let me think, OK, [actual content]"
Highlight first part of answer, hit delete; it makes a seamless edit between the question and the contentful part of the response.
Not quite as good as an NPR editor but muuuuuuuuuuch cheaper and faster, and you really have to be familiar with Descript and listening closely to know it happened. (I periodically smile when I "catch" another podcast I listen to clearly using it.)