feconroses

Very cool project! Quick question: is the underlying Pushshift dataset updated with new Reddit data on any regular cadence (daily/weekly/monthly), or is this essentially a fixed historical snapshot up to a certain date? Just want to understand if self-hosters would need to periodically re-download for fresh content or if it's archival-only.

Very useful! If you could also add note sounds, that would be amazing!

Hello HN!

We have been seeing quite a lot of conversations in customer support teams around tagging tickets (used as part of triggers, macros, analytics, etc). And we know how its hard and time consuming process.

This is why we built a MonkeyLearn extension for Zendesk (that we are releasing today) to help this tagging process with machine learning.

With this integration, MonkeyLearn will automatically tag and categorize incoming tickets into Zendesk. It will predict the value of a given field based on the subject and content of a ticket (it uses your historical data to train the machine learning model).

You can find it in the marketplace here: https://www.zendesk.com/apps/support/monkeylearn-ticket-clas...

This is an initial version and it’s free to use (at least for most cs teams).

We are trying to understand the value and if it helps support teams in this process, so any type of feedback is greatly appreciated. Also, if you need any kind of help to fine tune the model, more than happy to help.

previous step before Waze + Waymo?

As an alternative, you can try Anafora https://github.com/weitechen/anafora

A good alternative to Mturk is ScaleAPI: https://www.scaleapi.com/