purplecones

4 ms·

1. 1.▲
   by purplecones 8y ago

   Awesome. I love that you have a section showing exactly what CSS properties are used to create each letter.
2. 2.▲
   by purplecones 9y ago

   This is great material. Bookmarked!
3. 3.▲
   by purplecones 9y ago

   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!).
4. 4.▲
   by purplecones 9y ago

   I love these bite-sized tips! Are there more of these somewhere?
5. 5.▲
   by purplecones 10y ago

   Hey can't change it due to the S3 issue. See their twitter post: https://twitter.com/awscloud/status/836656664635846656
6. 6.▲
   by purplecones 10y ago

   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 i
7. 7.▲
   by purplecones 10y ago

   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
8. 8.▲
   by purplecones 10y ago

   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!