Plus a bunch of other stuff[3].
Maybe he solved AI/ML by himself long ago and is using that to be this productive.
[0] https://github.com/pgvector/pgvector
[1] https://github.com/pgvector/pgvector-ruby
https://github.com/ankane/pretender makes it super easy to impersonate a different user in a rails app
https://github.com/ankane/ahoy is first party analytics for rails
https://github.com/ankane/blazer is BI built into rails
https://github.com/ankane/field_test is A/B testing
This kind of stuff is why rails is so productive for a normal web app. Sure, there are better vendor and point solutions for each of these, but the ability to drop in a gem, do some configuration and have a 80% solution lets you ship so. damn. fast.
I still want to try and combine ahoy with a column store in postgres so that we can run the analytical queries straight onto postgres instead of syncing the events to BigQuery.
I've tried using pg_analytics by Paradedb but they don't support json columns, which is necessary with ahoy. Performance wise that would be ideal though.
- Chartkick, a charting library for Ruby
- Ahoy, a Rails analytics library
- Searchkick, a Rails search library
There are over 370 repos in his Github profile...
If you are looking for anything ML related with Ruby ankane has usually had a look already ...