Put a little more detail in the README.md (4dfd321) - techcrunch.git

README.md

@@ -5,7 +5,26 @@
 This is a Python script run as a cronjob to read the TechCrunch article feed, 
 and decide which articles to include in its own feed.
 
-Here's a [blog post about it](http://david.dlma.com/blog/my-techcrunch-feed-filter).
+## The Problem
+
+TechCrunch was a great blog about innovation and entrepreneurship. As it grew, 
+it published more articles than I cared to read. Like many savvy blog readers, 
+I used a feed reader to present the latest articles to me, but TechCrunch was 
+simply too profuse.
+
+## The Solution
+
+I created a service that'd visit TechCrunch's feed, and make note of who made 
+which articles, what the articles were about, how many comments each article 
+had, and how many Diggs2, Facebook likes and Facebook shares each article had.
+
+With that data, the service would determine the median, mean, standard 
+deviation, and create a minimum threshold for whether the article merited 
+being seen by me.
+
+I go into deeper detail in this [blog post about it](http://david.dlma.com/blog/my-techcrunch-feed-filter).
+
+Here's [the status page it generates](http://techcrunch.dlma.com/).
 
 # To Do
 


...	...	@@ -5,7 +5,26 @@
5	5	This is a Python script run as a cronjob to read the TechCrunch article feed,
6	6	and decide which articles to include in its own feed.
7	7
8		-Here's a [blog post about it](http://david.dlma.com/blog/my-techcrunch-feed-filter).
	8	+## The Problem
	9	+
	10	+TechCrunch was a great blog about innovation and entrepreneurship. As it grew,
	11	+it published more articles than I cared to read. Like many savvy blog readers,
	12	+I used a feed reader to present the latest articles to me, but TechCrunch was
	13	+simply too profuse.
	14	+
	15	+## The Solution
	16	+
	17	+I created a service that'd visit TechCrunch's feed, and make note of who made
	18	+which articles, what the articles were about, how many comments each article
	19	+had, and how many Diggs2, Facebook likes and Facebook shares each article had.
	20	+
	21	+With that data, the service would determine the median, mean, standard
	22	+deviation, and create a minimum threshold for whether the article merited
	23	+being seen by me.
	24	+
	25	+I go into deeper detail in this [blog post about it](http://david.dlma.com/blog/my-techcrunch-feed-filter).
	26	+
	27	+Here's [the status page it generates](http://techcrunch.dlma.com/).
9	28
10	29	# To Do
11	30
12	31