I hope their check includes people listing "whole homes" as actually being an entire house and not just someones basement or granny flat. Also a room with an attached bathroom isn't an "apartment". Seen quite a few of those being listed as whole rooms too. I don't really get it, if they fool me do they expect me to be happy when I show up and find out Im basically sleeping like harry potter?
Because a lot of the amenities listed are actually in the main house. If Im renting a "whole home" I dont really want to be in the owners back yard, ya know?
Every startup can be summarized in one sentence or company can be summarized in one sentence. For instance, linkedin is facebook for business users. Uber is peer to peer ride sharing. News.Ycombinator is reddit for tech oriented users.
Ratings are always going to be biased to some extent. If companies can game any marketing in general, it will be done. Tags are also biased as well, not everyone has the same definition and need for what a "table" is. A dining table, a standing desk, a computer table? 30"x30" or larger? Round or square? Real estate / renting /airBnB is going to be always driven by short summarized text / tabular data (square footage, cost/square foot,location) and interior/exterior images so the potential tenant can make their own decision.
No the general rating isn't specific enough as you say. You may want a table, a hairdryer, working wifi, etc. which may not alter the overall rating much.
what's the better way to do it
copy & paste, or use a package manager
When you add a dependency, how do you prevent the maintainer of the dependency or any sub- or sub-sub-...dependency to break your system in the future?
You do the same thing you'd do if anything else in your toolchain or runtime environment changes - change relevant code so it works again. Browsers change all sorts of stuff all the time and break millions of websites in the process. Easier to use a package manager to propagate the required changes to all dependent projects than copying and pasting bits of code between many different files.
I can't imagine the opposite could ever happen, be it small companies or big ones - there is not a single company on Earth that has the time to audit every line of every piece of software they run. Especially if that software is proprietary and source isn't even available.
I meant as a solution to not breaking in the future. If you have a system with pinned versions that work, it will always work, regardless of the changes in new versions.
The direction of the view determines when/if light enters the building. North facing views won't put sunbeams on a person's morning coffee (in Europe, Australia etc. are different), that's important to some people, not to others.
To put it another way, once a person cares about the view when picking a location, the person is likely to become picky. I might be fine looking out a cell tower five blocks away, another person isn't. They prefer trees 30m away.
The direction the windows face literally determines what the view is, so yes, it's important. If you have accurate map data then it should be possible to programmatically determine what the view is, whether it's blocked, where the sun comes in the window during the day, etc. That would be fun to code. But it all depends on your map data...
My 'plan' is very simple. It's just a list of links for each city. No community features or anything. Just the links to apartments that I myself found. Features could be added later. But the initial idea is to just put a list of links online. Probably with a line 'If you know about an apartment with a great view you want to share, please send it to ...@...'.
If you like, let me know which apartment it is in Manila and I will happily add it :)
Twin Oaks Place, Manila. View from 32nd floor out over Manila is incredible especially at night. There are even distant mountains you can see once the smog clears in the morning! ;)
Yep, that's the one - I'm in the studio apartment - quite big though.
When you book you can ask the owner which floor it's on, so I knew I'd be on floor 32. They also usually have photos of the view as it's often a selling point.
Last place was floor 31 (Currency Services Suites). Was also up about floor 10 I think at St Francis PLace Shangri La - lovely apartment complex that is right opposite St. Francis church and Lourdes school.
Twin Oaks building goes well over 40 floors though I think. I can see the second tower through the large window here (that tower doesn't appear to have been completed yet). It goes way above me (at least 10 or 15 floors). I think if you are above say floor 10 you'd get a decent enough view. Warning though - even at floor 32 the traffic noise is noticeable, but not too bad.
Because it gives more weight to one big error then to multiple small ones with the same sum.
We want the errors to be noise and not systematic. Noise usually has a gaussian distribution. And in a gaussian distribution multiple small values are more likely than one big one.
So Predic1 was better then Predic2? No. Because correctly predicting the one outlier shows more predictive power then staying close to the average. Therefore we use SumOfSquerrors:
SumOfSquerrors(Predic1) is 58
SumOfSquerrors(Predic2) is 45
This shows that Predic2 is "better" and we are happy :)
But what I've never understood is that if your objective is to magnify errors, why not cube it? Why not to a greater power still? If the other benefit is that all negative values to an even power become positive, then why not take the absolute value of the cube? No matter what, the degree to which we magnify errors strikes me as arbitrary.
Is an apartment with a view not something many people want?
When I look at r/digitalnomad, the top post right now is somebody showing of the view of their apartment.
Booking.com has a filter 'View'. So there must be some demand, right? The filter just does not work. When I look at apartments with a view in Bangkok the first 3 they show me are:
Estimate how many people are searching for property at a given time, how many of them would use your view-focused site (a tiny fraction), how many of them would find something through it and hence give you income (probably referral bonus from whatever big property listers you're partnering with).
Now weigh that against the cost of creating/running a site, and digging out the properties with a view.
I've not done this rigorously at all. But in the site I worked on, I suspect people filtering by facets similar to "has a view" were, optimistically, about 1% of our engaged audience. Conversion rates were like 5%. So that was probably a few tens of people per day (we had a fairly big audience!)
If you monetise by referral bonuses, you'll probably get tens of dollars per referral. So at most ~100USD per day.
Now consider the costs of setting up and running such a site. Remember that we were a global property search engine -- to get that thousands-strong audience, we were running all over the world.
IMO it just doesn't add up.
You can always prove me wrong! One way might be to focus on high-end clients, and somehow make more money from them... larger referral bonuses, for example, or having the clients pay you to find them properties with a good view.
I never use browser extensions because of the security and privacy problems.
When you say 'most other users' - can you quantify that? If for example 99% of the world population does not care, that would still leave me with 76 million people who do care.
