HE WEB IS growing exponentially. Search engine queries now often return millions of irrelevant pages. Those pages are not spatially arranged, clustered by topic, or distinguished in any way other than by their titles, so we have no idea of the relevance of any page before reading it. The same is true for mail and news.

After we save webpages, mail messages, news articles, ftp pages, or any pages produced with an editor or any other application, those pages become lost on our desktops. They are not analyzed in any way, clustered according to our interests, or laid out spatially to show their similarities to other pages already there.

Even after we organize the pages on our desktops by hand there is no automation to help us reoganize them, search them, navigate through them, or find more pages like them.

Our computers don't help us manage our own data.

This website describes a smart, visual, autonomous information manager that adaptively deduces its user's interests, analyzes its pages, displays them spatially, and automatically searches for new, relevant pages. All pages, whether from the web, mail, news, ftp, an editor, or any other program, are visually distinguished to show their relevance to topics likely to interest the user.