The new TrueFans analytics dashboard for creators shows both the Total Play Counts across all apps and Total Listen Time broken down by app.
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The new TrueFans analytics dashboard for creators shows both the Total Play Counts across all apps and Total Listen Time broken down by app. We achieve this by streaming episodes (no downloads) both MP3/MP4 as well as HLS.
What we are now seeing are the numerous AI bots streaming each episode, sometimes for hours.
We have added a bot filter to enable creators to see their true play and listen time numbers.
We will be adding more BOTs to the OPAWG Bot list.
/cc @js
https://github.com/opawg/user-agents-v2/blob/master/src/bots.json
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The new TrueFans analytics dashboard for creators shows both the Total Play Counts across all apps and Total Listen Time broken down by app. We achieve this by streaming episodes (no downloads) both MP3/MP4 as well as HLS.
What we are now seeing are the numerous AI bots streaming each episode, sometimes for hours.
We have added a bot filter to enable creators to see their true play and listen time numbers.
We will be adding more BOTs to the OPAWG Bot list.
/cc @js
https://github.com/opawg/user-agents-v2/blob/master/src/bots.json
-
The new TrueFans analytics dashboard for creators shows both the Total Play Counts across all apps and Total Listen Time broken down by app. We achieve this by streaming episodes (no downloads) both MP3/MP4 as well as HLS.
What we are now seeing are the numerous AI bots streaming each episode, sometimes for hours.
We have added a bot filter to enable creators to see their true play and listen time numbers.
We will be adding more BOTs to the OPAWG Bot list.
/cc @js
https://github.com/opawg/user-agents-v2/blob/master/src/bots.json
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@DavidMarzalC @js exactly. I need to check if it’s in the OPAWG list or if our code hasn’t picked it up. But either way we will tag it in the future along with other bots.
This is NOT TrueFans blocking the bots but just letting podcasters see their data clean without Bots.
Step 2 will be to let podcasters choose to block individual bots and we can then do that on the server but for now we wanted podcasters to see how many bots are hitting our servers and listening for hours.
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press the play button? 
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Podcasting 2.0 February 27th 2026 Episode 251: "Pod Snuggle"
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A must listen episode. Right off the bat @james@bne.social and @samsethi@podcastindex.social talk about the upcoming Apple Podcasts HLS details. Well… James does… Sam is a good boy and honors his NDA.
I agree the whole thing of an NDA for hosting companies until the 3rd of March is pretty silly if you ask me.
If you don’t already listen to PWR you need to. It’s a long one again this week but well worth listening too.
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Jack is such a tool. And the markets like tools apparently.
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The problem is that this is indistinguishable from a company over hiring and deciding that we can cut folks and make it seems like I didn't make poor decisions. Which option would most people take? If we look at the few companies not making big cuts we see a pattern, strong fiscal discipline
I will leave that an exercise to the reader to figure out who those are but it is an exercise worth doing. So then we need to look at outside objective data and see does that line up. So far all of these data points do not line up e.g.
Shafik Yaghmour (@shafik@hachyderm.io)
Attached: 1 image "CEOs Say AI Is Making Work More Efficient. Employees Tell a Different Story": https://www.wsj.com/lifestyle/workplace/ceos-say-ai-is-making-work-more-efficient-employees-tell-a-different-story-6613ce9d We know that workers actually tend to overestimate productivity savings so I would take this as an overestimate and assume reality is actually even worse. These are devastatingly bad numbers. #ai
Hachyderm.io (hachyderm.io)
and this one says something similar:
CEOs are reinventing their companies with technology and seeking growth opportunities in new sectors, even as they see elevated threats ahead.
PwC (www.pwc.com)
So we have folks saying one thing but all the data saying something different. We can claim the data is all wrong but is that a believable take?
An alternative take is the data will catch up, but four years in, how long do we need to wait?
