diff --git a/HISTORY.rst b/HISTORY.rst
index 23186fb..6f75f3e 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -3,6 +3,14 @@
 History
 -------
 
+0.1.0 (2013-11-01)
+++++++++++++++++++
+
+* Two working implementations
+* Extensive test suite; all tests passing
+* Full support for Python 2.6-2.7 and 3.1-3.3
+* Bumped status from Pre-Alpha to Alpha
+
 0.0.1 (2013-11-01)
 ++++++++++++++++++
 
diff --git a/README.rst b/README.rst
index d914d7e..09da260 100644
--- a/README.rst
+++ b/README.rst
@@ -20,4 +20,20 @@ fuzzysearch is useful for finding approximate subsequence matches
 Features
 --------
 
-* TODO
\ No newline at end of file
+* Fuzzy sub-sequence search: Find parts of a sequence which match a given sub-sequence up to a given maximum Levenshtein distance.
+
+Example
+-------
+.. code:: python
+
+    >>> sequence = '''\
+    GACTAGCACTGTAGGGATAACAATTTCACACAGGTGGACAATTACATTGAAAATCACAGATTGGTCACACACACA
+    TTGGACATACATAGAAACACACACACATACATTAGATACGAACATAGAAACACACATTAGACGCGTACATAGACA
+    CAAACACATTGACAGGCAGTTCAGATGATGACGCCCGACTGATACTCGCGTAGTCGTGGGAGGCAAGGCACACAG
+    GGGATAGG'''
+    >>> subsequence = 'TGCACTGTAGGGATAACAAT' #distance 1
+    >>> max_distance = 2
+
+    >>> from fuzzysearch import find_near_matches_with_ngrams
+    >>> find_near_matches_with_ngrams(subsequence, sequence, max_distance)
+    [Match(start=3, end=24, dist=1)]
diff --git a/setup.py b/setup.py
index 1890fc8..8c85bf7 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@ history = open('HISTORY.rst').read().replace('.. :changelog:', '')
 
 setup(
     name='fuzzysearch',
-    version='0.0.1',
+    version='0.1.0',
     description='fuzzysearch is useful for finding approximate subsequence matches',
     long_description=readme + '\n\n' + history,
     author='Tal Einat',
@@ -37,7 +37,7 @@ setup(
     zip_safe=False,
     keywords='fuzzysearch',
     classifiers=[
-        'Development Status :: 2 - Pre-Alpha',
+        'Development Status :: 3 - Alpha',
         'Intended Audience :: Developers',
         'License :: OSI Approved :: MIT License',
         'Natural Language :: English',