Even when the company offers to back it with a full study if audited-the auditors are extremely aggressive on that study because it's kind of a  tainted the whole batch situation. 

But if you haven't even submitted an application or documentation to get that pre-approval or the lender doesn't have good reviews, I would be more concerned

We are concerned that it's going to be too small for six people. 

I'm now concerned of what could be waiting for me.

So when we did not receive any response to our emails for several days, this naturally triggers concerns and emotions.

Things were fine at first but I’m now in a bit of a bind and trying to think a few moves ahead.Here’s the situation:- Purchase price: $282K- Seller financed $280K at 4.5%- I’ve been making interst only payments on time- The property is cash flowing- Property is worth around $270K now- Balloon is coming due soonThe seller was hesitant to extend but has agreed a 12-month extension with following stipulation:- $2,800 extension fee (1%)- $10K principal paydown- New interest rate of 5%- No further extensions — balloon would be due June 2026The deal is cash flowing but I’m concerned I’ll be upside down when it’s time to refi and might need to bring a large chunk of cash to the table.Would love to hear from anyone who’s dealt with something like this:- How would you approach it?

The only unfortunate thing is that when they canceled those reservations, they did not let the guests know why it was being canceled so I got a lot of concern messages

Or care about them.As far as they are concerned, I am one of the owners, so there is always the let me check and get back to you with an asnwer.

Quote from @Vikas Jain: Yes, I have already seen the buy-in, im less concerned about that part of it, but just want to make sure its legitimate (plenty of opportunities where buyin is high but it doesn't always mean the product is good, just been burned in the past by others so trying to do better due diligence this time around)Their success rate, as of now, is 100 percent.

My ML model then analyzes available property listings combined with market data (crime rates, appreciation trends, school scores, etc.) to recommend properties that align with the user’s goals — cash flow, growth, or safety.I’m trying to be extremely careful to ensure that my system does not cross any legal lines, especially with regard to Fair Housing laws or algorithmic bias concerns.While the model doesn’t discriminate on protected classes (race, gender, etc.), it does consider factors like crime rates, school quality, and local economics — all of which can indirectly overlap with sensitive social patterns.