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	<title>Planetary Scale LLC &#187; Tweeteorites</title>
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		<title>Announcing Tweeteorites</title>
		<link>http://blog.planetaryscale.com/2009/07/07/announcing-tweeteorites/</link>
		<comments>http://blog.planetaryscale.com/2009/07/07/announcing-tweeteorites/#comments</comments>
		<pubDate>Tue, 07 Jul 2009 20:59:19 +0000</pubDate>
		<dc:creator>andrew</dc:creator>
				<category><![CDATA[Tweeteorites]]></category>
		<category><![CDATA[twitter]]></category>

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		<description><![CDATA[Tweeteorites, our Twitter favorites tracker, is now live! This project has been exactly 2 months in the making, and is finally at the point where I think it&#8217;s usable. What is it? If you&#8217;re a Twitter user, you know that you can mark individual tweets as favorites. It was always really frustrating to me that [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://tweeteorites.com/">Tweeteorites</a>, our Twitter favorites tracker, is now live! This project has been exactly 2 months in the making, and is finally at the point where I think it&#8217;s usable.</p>
<p>What is it? If you&#8217;re a Twitter user, you know that you can mark individual tweets as favorites. It was always really frustrating to me that I could never see what my friends were &#8220;favoriting&#8221; though. So, Tweeteorites scans through all of your friends&#8217; tweets, building timelines of what your friends are favoriting.</p>
<p>Another frustration for me was that it was hard to know who to follow on Twitter. So, I built a system that analyzes who you&#8217;re following, who your friends are following, and what they&#8217;re all favoriting. Then, it recommends the people it thinks you&#8217;d be most interested in following. Basically, the people you might get the most enjoyment out of following.</p>
<p>That&#8217;s the short description! There&#8217;s more exciting stuff coming soon, so I&#8217;ve got to get back to work!</p>
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