purplecones

Awesome. I love that you have a section showing exactly what CSS properties are used to create each letter.

This is great material. Bookmarked!

I love this! I use the Terminal and VIM every day and really enjoy tools that fit within that workflow. I didn't even know about this project when I started building a similar tool (with the same name!).

I love these bite-sized tips! Are there more of these somewhere?

Hey can't change it due to the S3 issue. See their twitter post: https://twitter.com/awscloud/status/836656664635846656

Thanks for the background. I'm working on a similar project but currently parsing news articles using a collection of specific rss feeds and calling Google's NLP API with the text. It sounds like AlchemyAPI seems be a better fit in this case.

How are you finding Neo4J is handling the scale of reading and writing all these stories? I've had a positive experience so far but I'm only in the few thousands range.

Hi this is great! I have some questions.

I'm curious how you decided to model the data in your Neo4J database. How did you do the 'Suggested Readings' section? How does the cipher query look that drives that.

How do you like using AlchemyAPI? Is it doing all the NLP stuff for you?

We were missing the good old `meteor deploy` days so we decided to create `meteor-now`. Should be the easiest way to deploy your Meteor app!