How can people come to know about what you speak in the podcasts without listening to them?
A half baked solution I figured out is to tweet about the things we speak in the episode occasionally. So, by looking at the twitter feed, one can get a feel for what we actually talk.
I built this with the help of GitHub Actions. I have an action which runs on a cron schedule and runs yarn tweet which executes a script. 0 10,16 * * * to be precise. That is 1530 hrs and 2130 hrs IST to be precise.
I have a script which fetches a random quote from the transcripts (which are in the repo as markdown files) and then tweets it using Twitter API.
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