Evenly space downloaded episodes throughout playlist
I'm one that regularly keeps 100+ (okay, 300+) episodes in my playlist. When I come across a new podcast I want to add to my routine, and I don't want to wait weeks or have them all grouped together, I currently have to drag the 10-20 episodes I've downloaded individually to evenly space them throughout my playlist, counting every 20 or 50 or whatever. This can be very time consuming, and annoying when my finger slips and I have to start over.
I'd love the ability to select multiple episodes in the playlist, then have a "distribute throughout playlist" option (in same menu as "move to top", ect.) which would take the episodes I've selected, and evenly space them throughout the playlist. For example, I have 100 in my playlist, and I select 5 episodes from a podcast I just found and added to playlist, I'm able to hit a button, and they're automatically distributed every 20.
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Eric Phelps commented
Yes. Or shuffle? But agree this problem is solved. Only problem is user training. There are soooo many features, and not always clear how to put them together to solve your problem. Thank goodness you are always available to help. Hmmm... I think it is time to make another donation.
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@Eric Phelps
You can use the 'Alternate episodes' feature in the sorting popup to do so -
Eric Phelps commented
Agree with Richie. Sorting by date doesn't work because a newly-added podcast will have mostly old material.
I'd be happy with adding a new "Random" sort option. Easier to implement, I bet, but would be something I'd avoid when there's an audio book in the que! -
juntjoo commented
Yes, I've needed this function before. I also manually evenly space based on date and to be able to do it for just a manually selected group would be useful
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Philip Broughton-Mills commented
An existing way to do this is: View all podcasts. Sort by date. Select all. Add to playlist.
Assuming each podcast comes out once a week, they will now be distributed evenly in your playlist in comparison to each other. (Obviously if one podcast has 100s of episodes then it will not be possible to avoid grouping, because it outnumbers the others.)