Ok , we collected interesting links and nice tweets on Twitter, we can see a Twitter user’s Favorites,we have a RSS feed for them and burned this feeds to be able to send
updates to email subcribers. BTW the are more ways to share the updates than only by email (by phone, by messenger…. or as a badge for your website).
But how to proceed from there ?
I found just now an interesting article at makeuseof.com It is an article about backing up your Twitter experience.
On the www everything what you need can be found . But you have to keep on searching.
Then perhaps just use what you find in a different way because you see it in a different way.
If you can backup ,say your Twitter favorites in a excel sheet (through an xml file let’s say), on your
computer, you have them in a file which you can manipulate!!
A file your can use elsewhere !!! On your Blog ?
Related article at mashable:HOW TO: Create and Share a Twttrlist of Your Favorite Tweets at Squidoo
Related sites
Tweetbook.in: Convert your tweets into a book ! But here is more !! tweetbook gives also
an XML file of all your favorites.
Favotter displays favorited tweets of twitterers and categorizes them based on the number of times they have been marked as favorite by twitter users. You can also view the HOT, BEST and NEW favorites .
Update
Today i found something great , just what we need !!
Favesbytes is an experimental tool that helps you to generate a file containing your Friends’ Favorite Tweets. You can then import that file into your RSS feed reader like Google Reader and you’ll be automatically updated when your friends favorite new tweets.
Yes!! Let us take Twitter to higher levels… Imagine what could happen if we chose and group our Friends Favorites properly.
A difficult aspect ,i think, however is how Twitters will choose and create great Favorites for us to follow. I had no succes questionning
my followers
To see which of a user’s Friends already starred Favorites use this Yahoo Pipe i found Favorites Count
To see a user’s Friends Favorites in detail to be able to analyse them use http://twitter.com/username/favorites.
Will be back…..i hope ….with more soon .
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