A Twitter Search Engine by User Rank
www.tweefind.com

Tweefind - The Market Problem
 It’s time to re-think search
 sources: not only websites/blogs
 tons of useful news shared on Twitter,
Friendfeed etc.
 information, images, videos shared on Facebook
etc.
 people talk and chat about topics that can
become trends
 need a way to assign a “rank” to social
networks’ users
 need a way to aggregate all this information
Cagliari, July 07, 2009
03, 2

Tweefind - The Market Problem
 Three Types of Search
 Search 1.0
 Focused on pages and content within them
very basic concept

 Search 2.0
 Focused on pages, content, links, authority of linking
sites
pagerank

 Search 3.0
 Relevance is determined by content, context and
relevance for your network
people share content

Cagliari, July 07, 2009
03, 2

Tweefind – Focus: Twitter
 Twitter’s growth is
explosive
 19M users
 267% growth on
quarter basis
 1250% growth
on annual basis
Cagliari, July 07, 2009 3

Tweefind – Focus: Twitter
 Twitter is a busy and noisy place
 lots of users
 lots of spam
 lots of casual users
 lots of personal and not relevant content
 Potential response
 need a way to take the good content out of the noise
 need a way to give that content a “value” and display
the most valuable only
Cagliari, July 07, 2009 3

Tweefind - Value Proposition
 Tweefind is a twitter search engine
 scans the popular micro-blogging service
 displays results ordered by user rank
 displays related searches coming from other sources
 Google, Bing
 Techcrunch, Mashable, NYT, Friendfeed...
 Youtube video (the most popular)
 Highest ranked twitter users
 takes links out from the tweets and shows the most
re-tweeted (re-tweet means endorsement)
Cagliari, July 07, 2009 2

Tweefind – The Solution
 Tweerank
 is a measure of how popular/important a Twitter user is
 works 24/7 to assign a rank to each Twitter user
 it changes daily
 over 4M users ranked so far
 takes into account over 20 parameters, like
 # followers
 # following
 # of followers / #of following
 # of tweets
 # of RT he/she receives
 # of replies
 # of distinct users who reply
 # of distinct users who retweet
 # of RT he/she makes
 # of links the user shares
 .....
Cagliari, July 07, 2009 4

Tweefind – Main interface 1/2
 Example: search for “iphone” Most searched keywords
Highest-ranked Twitter users
for the keyword “iphone” (from
Tweepfind.com)
Main results from Twitter Most re-tweeted news for
ordered by “user rank” “iphone”
Results from Friendfeed, New
York Times, Techcrunch,
Mashable, etc.
Cagliari, July 07, 2009 5

Tweefind – Main interface 2/2
 Example: search for “iphone”
Buttons to switch to Google/Bing
results
Similar and relevant
search terms
Results coming from
the search engine Bing
Cagliari, July 07, 2009 5

Tweefind – Relevant Link Extraction
 Example: search for
“iphone”
 Tweefind extracts links
contained in the tweets
displayed in the first page
 Searches Tweetmeme for
those links
 Displays the three most-
retweeted on the sidebar
Cagliari, July 07, 2009 5

Tweefind – Plugins and Widgets
 Blog/Website widget
 Firefox/IE search plugin
Cagliari, July 07, 2009 4

Tweefind – Benefits
 Filters the good content coming from highest
ranked users
 Remove noise and useless tweets from search
results
 Lots of relevant and related search results coming
from different sources, all together
 Very useful to find new great and valuable Twitter
users to follow
 One-Stop-Shop for search from multiple different
sources
Cagliari, July 07, 2009 4

Tweefind – Contacts
 http://www.tweefind.com
 http://twitter.com/tweefind
 info@tweefind.com
Cagliari, July 07, 2009 4