this is brilliant, now we know what exactly the shortened links are taking us.
also, could you add a feature that shows the shortened URL, then have the actual URL in parentheses?
example: www.cli.gs/dfdfcs (www.youtube.com/blanblahj)
It works and I really like to know where I'm going to go to =)
If you use Twitter a lot, or just go anywhere that uses URL shorteners often, then you realize how much of a pain it can be to be sent somewhere without knowing for sure where you're going.
This script fixes that, giving you the safety and security you need these days, with how many unscrupulous people there are out there.
I'd definitely recommend this to anyone at all for making sure your browsing experience is as smooth as possible.
Works well, thanks.
I love what this extension offers, but the cost is too high for me to leave the script enabled!
I'm delighted to see that there's caching code in tinyURL decoder, but it still has a way of really hammerring firefox with web traffic that doesn't always serve me...
Especially after recovering a large session, TinyURL decoder traffic is quite a bandwidth/CPU burden...
1. Is it possible to cache urls in a database across browser restarts?
2. Is it possible to handle short-urls more lazily? Loading the links onMouseOver or when the tab is first viewed? (I imagine that this would be load-dependent...with some sort of latency-trigger for aborting prefetch when the browser is too busy.)
I would love some sort of top-level extension that packs shortened URLs into the main browser history database...(or perhaps a 2nd url-mapping history db with a different lifetime)..
What happened to the "unshorten" extension, and might that be a better vehicle for maintaining cache/history/mouseover-laziness??
Other than that, epic script, if I could I would pronounce you the winner of the game for this
I don't use it but it was very well written.
BUT, In spite of not operating Firefox, the load of CPU is very high.
This was fixed.
I wanted to request you modify the script to use our official API for decoding bit.ly URLS, which looks like this: