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21 August 2022 | 11 replies
For instance, the vast majority of my purchases are HUD homes where it is difficult and in many cases not possible to turn them on. in cases where you cannot turn in utilities, one can still get a visual inspect the foundation, roof, electrical to ascertain the age of the breaker box and type of wiring as well as due a pressure test on the plumbing.
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21 August 2022 | 7 replies
We ended up getting a concession from the seller, not a lot but enough to move forward.The property was listed a little under market by an investor/wholesaler, who never lived there and didn’t provide any disclosures and stated that in the MLS.. there were multiple offers, and I put in an cash offer no inspection/ no appraisal after visually inspecting it, so there is no due deligence period.
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25 September 2022 | 19 replies
This takes a lot of upfront work that doesn't make a lot of dust so people tend to get impatient and blow past this so they can start making visual progress.
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15 April 2021 | 2 replies
I really liked the multi unit concept even though I had never seen anything like it before (or since) and it made sense on paper although it looked like a bad deal from the visuals.
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24 April 2021 | 2 replies
Here’s the formula we use to ensure your goal IS-METI - ideas: why and whatS - structure or outline *M - map it out: visual, audio, or written E - edit T - team members: WHO to get it done and when How to make sure that your goal IS-METThere’s no time like now.
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19 April 2021 | 3 replies
We can come up with a marketing plan and strategy together.More specific to your question, I personally like the idea of driving for dollars: you get a visual confirmation of stress and the list you build is unique to you.
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30 May 2021 | 12 replies
However, there could be a complex interplay between multiple K1s that can produce a visually deceptive result.Bottom line: this return needs a second opinion.
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1 May 2021 | 11 replies
The below table gives a nice visual of this concept.
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14 March 2022 | 3 replies
One of the first metrics I started looking at was the price to rent ratio.I pulled a few pieces of data, joined it together, and visualized it to get a handle of what the price to rent ratio for different regions looks like.