With our inbound information pipeline overflowing with tidbits, articles everyday; it is not surprise that "read later" apps are the new rage. Apps like Instapaper and Pocket promote parking content till a "convenient time". But we also know deep inside that there will be no such time on the horizon. If we don't have time now it is going to be equally hard to find time in the near future. This application tries to address this issue. By looking at your reading preferences, reading preferences of others it tries to prioritize your reading list maintained at instapaper or pocket. At it's heart it is an user <> user similarity engine with a twist. Since everyone bookmarks are varied it makes no sense to find similarity by looking at the bookmarked URL alone. Hence we decided to use alchemyapi to determine the taxonomy classification of a bookmarked URL and then use the taxonomy data to find the taxonomies one may be interested in reading about.

1. Pop Quiz
What's the ONE thing we
have plenty of?
What's the one thing we are
universally short of?

2. Content
Sources
Promise to
make it easy
But we never
have enough
time

3. SOLUTION

4. Continue using
Read Later app as
usually do
Recommendation
Engine
Recommended
Reading List
Analyses your reading
list, taxonomy, compares
it with preferences &
other users reading
habits to recommend
Get Unread
List
Get Taxonomy
Other User
Preferences

5. USER JOURNEY

6. LOGIN TELL US MORE
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