The real challenge is not just aggregating everything into the inbox but being able to present it in a way that suits the user's personal style.
Some of my facebook messages, some twitter messages and some RSS feeds (but not all of them) are more important than some (but not all) of my emails. Yet, the facebook/twitter/email divergence is also a part of my consciousness as a user. To identify these similar things across mediums, present these things in once place and yet subtly distinguish between them - this is the challenge.
I guess it is also easy for me to point out that the answer is a combination of machine learning/statistical analysis and good UI design. Implementing it is the hard part :) I have thought about it but I am a bit busy doing other things. It would be interesting to hear your take on this and your approach to this problem when you are able to reveal such things.
Some of my facebook messages, some twitter messages and some RSS feeds (but not all of them) are more important than some (but not all) of my emails. Yet, the facebook/twitter/email divergence is also a part of my consciousness as a user. To identify these similar things across mediums, present these things in once place and yet subtly distinguish between them - this is the challenge.
I guess it is also easy for me to point out that the answer is a combination of machine learning/statistical analysis and good UI design. Implementing it is the hard part :) I have thought about it but I am a bit busy doing other things. It would be interesting to hear your take on this and your approach to this problem when you are able to reveal such things.