Moopz is a new service that brings together conversations about web
articles, blog entries, and other web links. Moopz takes items and
comments from
FriendFeed and presents them in different ways:
- Moopz aggregates FriendFeed conversations that are discussing the same link.
For example, three different people may share the same link to an
interesting story. Seperate conversations may then arise on each of
those items on FriendFeed. Moopz pulls those conversation (and
"Likes") and presents them in a single combined thread.
- Moopz reduces duplicates.
A web link may appear in multiple items on FriendFeed. One person may
share the link by boomarking it on del.icio.us and someone else may
post a link to it on Twitter. This can result in duplicate links
appearing in your FriendFeed. Moopz combines these into the same
thread with aggregated comments. Subsequent sharings of the link
appear as comments in the conversation thread. (And yes, Moopz looks
past most tinyurls and other redirect links to determine the target web
link).
- Moopz reduces the noise level. Items
appearing on the Moopz home page are limited to items that relate to a
web link. As such, tweets like "I had egg salad again for lunch" won't
appear. Furthermore, only items "active" on FriendFeed appear on the
home page, thus effectively hiding items that FriendFeeders are not
finding interesting. Items with no activity appear on the Quiet page.
- Moopz augments each item with summaries.
Some items on FriendFeed are very short and don't provide much
information about the link ("check out this link http:/nourl.to/dfg").
Moopz tries to augement items by displaying a short summary and image
(if available) to provide more information. This is helpful to decide
whether to follow the link to read more, or just move on to the next
item.
- Moopz automatically tags items based on semantic analysis.
Moopz tries to automatically tag each item with relevant keywords.
Since FriendFeed items can be very short, Moopz tries to find out more
information about the destination web link and uses that information to
assign tags.
- Moopz provides topic-based navigation of conversations. Use the keyword tags described above, Moopz can filter the conversation based on topics. Use the Tag Cloud for a full list of topics.
- Moopz provides a "Popular" list of items most active in the past 24 hours. The Popular
page display the most active conversations in the past 24 hours. If
you want to read the items that are getting the most buzz on
FriendFeed, this is the place to go. The page has a more of a "news
page" layout, placing more emphasis on the destination link rather that
the person(s) who shared it on FriendFeed. There is also a feed version of this page, so you can subscribe with your favorite feed reader so you don't miss out on interesting conversations.
You
can login with your FriendFeed username and remote key to Like and
Comment on Moopz items -- these will appear on the FriendFeed site as
well, of course. There are display options that enable you to hide
certain elements of the listings according to your preference.
Note that Moopz
does not
currently provide a personalized view of items based on your
FriendFeed. Instead, Moopz tries to focus on web and technology links
and conversation. Moopz follows a growing list of
conversation-starters in this topic area (if you notice that Moopz is
missing some relevant conversations,
let me know).
As a bit of a community building experiement, when you login via Moopz
for the first time, Moopz will soon subscribe to your feed. This means
that Moopz content will evolve and expand based on people actively
using Moopz, which I think could be pretty interesting. That said, a
completely personalized experience based on your own FriendFeed home
page feed is definitely a consideration for a future version of Moopz.
Questions, comments, suggestions, and
conversation are welcome.
[Tags: friendfeed, moopz]
