When I rate podcasts, I try to go based on the last ~1 year of episodes.
I updated the rankings on my website, but unfortunately, cloudflare is not letting me deploy :(
Feel free to email me at hello@taylor.town if you'd like more recs
>I think this should be fairly easy to incorporate on ones personal website too, a way to let your listening history be personal recommendation engine than we relying on our memory to recommend/suggest.
If you look at my past newsletters, I used to do something like this with individual episodes:
[1] https://taylor.town/2-stars
When I rate podcasts, I try to go based on the last ~1 year of episodes.
I updated the rankings on my website, but unfortunately, cloudflare is not letting me deploy :(
Feel free to email me at hello@taylor.town if you'd like more recs
>I think this should be fairly easy to incorporate on ones personal website too, a way to let your listening history be personal recommendation engine than we relying on our memory to recommend/suggest.
If you look at my past newsletters, I used to do something like this with individual episodes:
[2] https://taylor.town/town-hall-0006
Unfortunately, it's time-consuming, and my readers didn't really care for the granularity much.
I'd be interested in an automated solution though.