README.md in rstatsd-0.2 vs README.md in rstatsd-0.3

@@ -1,15 +1,17 @@
 # rstatsd
 
-rstatsd is a ruby based daemon for capturing data from statsd clients.
+rstatsd is a ruby based daemon for capturing data from statsd clients and 
+displaying graphs. It stores graph data in fixed-length data structures
+in redis.
 
-rstatsd is inspired by the work at etsy to measure everything, measure
-anything. They use a combination of node.js and graphite to capture and
-graph this data.
+rstatsd is inspired by the work at etsy to measure anything, measure
+everything. They use a combination of node.js and graphite to capture
+and graph this data.
 
-The goal of this project was to replicate this light-weight approach and
-reduce the number of dependencies to do this to two: redis and ruby.
+The goal of this project was to replicate this approach in a very light-weight
+way by reducing the number of dependencies to do this to two: redis and ruby.
 
 ## Installation
 
     $ gem install rstatsd
 
@@ -23,27 +25,23 @@
 
 Start the collection daemon and server
 
     $ rstatsd
 
-Add some data (you'll need a statsd compatible client like statsd-ruby)
+Open the web server in a browser and follow the directions:
 
-    $ irb
-    irb> require 'statsd'
-    => true
-    irb> s = Statsd.new('localhost')
-    => #<Statsd:0x007fee419866d8 @host="localhost", @port=8125>
-    irb(main):004:0> s.increment('grebulons')
-    => 10
-    irb> s.increment('grebulons')
-    => 10
-    irb> s.increment('grebulons')
-    => 10
-    irb> s.increment('grebulons')
-    => 10
+    $ open  http://localhost:8126/
 
+## URL Schema
 
-Then view the result in a web browser
+You can request multiple data points to be graphed simultaneously by specifying multiple targets:
 
-    irb> `open  http://localhost:8126/?target=grebulons`
+http://localhost:8126/stats?target=foo&target=bar
 
-Bask in the something of something-something.
+## Supported data types
+
+* counters (statsd.increment, statsd.decrement)
+
+## Todo
+
+* statsd data types other than counters
+* time window graphing