Imagining a way of making Klout actually useful.

I recently added a few mute-filters to twitter to help filter out some of the noise that, at least I, think can be ignored. There are two things that really are driving this noise as far as I can tell. The Apple/Samsung fights, and the US elections. After adding the filters, I really did notice an improvement in finding the content that I wanted to actually read.

However, i think there’s a better way to do this. What if Klout’s tags of what you know could actually be useful. Crazy right, Klout being useful? Anyhow, so if there were some magical twitter client called tweetbot did this that’d be awesome. Imagine if this imaginary twitter client called tweetbot logged into Klout to pick out what topics your friends talk about regularly, and then you could filter whole tagged users into more useful and less useful subjects. Anyone who knows a whole lot about Colorado is brought to the top since you’re going to take a trip to Colorado next summer. People who talk about nothing but politics get filtered to the bottom since there are at least 8 tv shows about that already.

Maybe this doesn’t have to be Klout. Maybe it’s just something the twitter client does over the course of time. But Klout has already has the topics section, so the infrastructure is already in place. I think this would be a pretty cool feature for a twitter client, and it’d make Klout at least useful outside of what it is now.