Startup Idea: News I may have missed.
The job of a good newspaper is to sift through tons of possible news and extract the most valuable subset that fits into 16 or so pages that suits the demographic of the news paper.
With the web this can be defined as choosing the most valuable subset of possible news and extract the most valuable subset that fits into the TIME that a PARTICULAR USER chooses to spend on THAT DAY.
Suggestion: A browser plugin watches what you browse. It observes ur various actions like your twitter feed, people you follow on twitter, your buzz stream, your blog posts and the time you spend on various webpages. The mails you compose, the forums you participate in and so on. All this gives the plugin a feel of your choices.
Now it looks at your tastes and determines what other similar people like and compares it with what you have spent your time on. It spots NEWS article CLUSTERS popular among similar people but may have been missed by you.
There will be tabls like: News I missed today, News I missed yesterday, News I missed this week,last week, News I missed this Month, News I missed this year, News I missed last year