MP6 as WordPress’ Twitter Bootstrap for the admin. An idea I pitched on make/core — I want this so bad.
Normal comment: Paste a link: Paste a quote from a link: Send a reaction:
All my life I’ve wanted a way of comparing the contents of a site to the contents of the import file I just ingested. Imports always result in funky data, no matter how hard you try.
We’re using Github issues for all of our projects, but I still like Remember The Milk as the interface for deciding what I need to work on next. It would be neat if the two worked together.
An issue assigned to me in Github would produce a new inbox task in Remember The Milk (if one didn’t already exist with the issue in the URL field). I could then list, prioritize, and give a due date as needed. Completing the task in Remember The Milk would complete the issue in Github (and vice versa).
Idea: WordPress plugin for wp-cli so I could use the latter in the WordPress admin. Like Hopscotch, but installed on the site instead of as a browser extension. A sort of power user mode for the WordPress admin.
An idea: Use creation of WP_Error objects as a way of tracking application exceptions. If WP_Error had an action in the
__construct() method, you could easily
error_log() WP_Error codes and messages.
Can someone tell me why this is a bad idea (other than exploding your error log), or whether there’s a better approach?
I may or may not get to these in the future. If you do before me, please let me know. Single-use P2 threads. P2 is an awesome theme for threaded conversations that stand the test of time. Avoid long, drawn out email discussions with friends by… Continue reading →
Idea for the WordPress.com VIP ElasticSearch add-on: ability to pass arbitrary documents with external URLs to be included in the index. (ref)
Hack day project idea(s), inspired by the data science session this morning. Look at a random sample of comments across WordPress.com and…
- Classify their content (e.g. how they’re responding to the post).
- Do a topical classification of post content and compare against comment word count or frequency.
- Calculate diversity of commenters for a site as a function of unique email addresses to number of comments.
- Build a network graph indicating correlation between commenters across different sites.
The big takeaway: with any given dataset, play with visualizations first before trying to draw a conclusion.