I'm focusing on the annual assessment appeal. So this you need to do every year. For me this year, for the first time, they kept the assessed value low.
Zillow and others don't use the right way to look at comparable homes in the assessors and assessment appeals board view.
I could auto appeal each year for you. Right now I'm just trying to get as many people to appeal before the deadline of Dec 1st for the remaining counties.
But if you enter your address and email, then I'd run it next year and inform you.
a tool to help California home owners to lower their property taxes.
This works for people who bought in the past years low interest environment and are overpaying in taxes because of that.
Feel free to email me, if you have questions: phl.berner@gmail.com
thanks for the tip with two AI models. I've done that in writing coding specs. I already gave it a lot of detail about who it is. will give this a try.
Do you have an exit criteria that you can define for when the models stop picking on the other models solutions?
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We wrote aiohttp for our production system. We build everything on aiohttp.
In our production systems we constantly run more request then in the benchmark with business logic on each request.
The main reason we like aiohttp a lot if that you we can write asynchronous code that reads like synchronous and does not have callbacks.
we haven't encountered any problems with lint. Your app will just not compile and tell you whats missing.
The case from the readme is:
We were loading view A. Then we looked for R.id.something in view A in a method.
Later we replaced view A with B, but never took out R.id.something that was referring to view A (it was also never used). This never caused problems as view A was still in the resources.
Lint marks view A as unused as no activity is ever loading it. After removing A, R.id.something can not be found anymore and you will get a compile error.
It was time to remove that dead reference.
not sure what your project structure looks like, but you can always run lint separately (like in the gradle example) and then use --xml <lin-output.xml>
Then it will use the already existing lint output to remove the resources
The Play sore app does even require a Google Plus account when you just want to leave a rating.
Ratings are 100% anonymous as they don't show up in the reviews and are global (where as reviews a language specific).
This just doesn't make sense to me.
Mobile apps that require a e.g. facebook account as their only sign up have up to 50% drop offs because people don't want to sign in with a service like Facebook.
I strongly believe that ratings and reviews are a core function of a app store eco system. Links to profile pages don't give me as a person who wants to download the app a real benefit.
Google did a really nice job with their NLP to highlight reviews that had more depth in the store overview.