Arvid Kahl
speaker
22,801 appearances
96 recordings
1 series
first heard Aug 2024
last heard 3 Apr
Arvid Kahl’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 23 in all, peaking in Jan 2026 with 5.
Appearances
So now you just put http colon slash slash op3.com.
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dot dev slash e slash in front of that link and you have a link that starts with op3 and once it gets there they do the analytics magic and then they forward it to your old URL and then people get the file from there but they track the actual download by going through that system.
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It's a pretty well established system.
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It's all open source like you could set this up yourself if you wanted to.
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It costs a couple hundred
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Bucks a month, I think it's really not that expensive, even though it tracks podcasts with millions of downloads.
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It's really, really cool.
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OP3 collects metrics about how often people download episodes, how many of these people are real people versus bots, where they come from, when they download, how much of the file is downloaded, all of this information.
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So we've built an integration that synchronizes OP3 data with our existing database.
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And relatively few podcasts actually use OP3, but the ones that do obviously benefit from us showing their real track analytics on
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Their podscan page.
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But here's where it actually gets interesting.
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We've been collecting so much data through OP3 now that we've started feeding this data into all our machine learning systems and the estimation models that we use for audience sizes and download numbers.
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So for podcasts that may not have as easily traceable information, like most shows out there that are completely opaque and you don't really know much about them, our estimates are now more accurate.
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Because they're calibrated against real data by podcasts like these that we can fetch.
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And this integration benefits the user because they see real data for real podcasts, and it benefits the platform's data fidelity overall, because it stabilizes our estimates across the board.
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And that kind of improvement that just takes time to materialize and data to ingest.
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But once it does, yet again, it compounds.
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Was a good idea to pull it in.
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It's just
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Showing 781–800 of 22,801 · page 40 of 1141
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