One Keynote – custom podcast feeds for popular tech personalities

Hacker News

One Keynote is a collection of custom podcast feeds featuring popular tech personalities such as Chris Sacca, Harley Finkelstein, Justin Kan, Michael Saylor, Sahil Lavingia, Ev Williams and more. The idea came while I was listening to Chamath Palihapitiya getting interviewed by Kara Swisher on her Re/Code podcast a few years ago. I really enjoyed listening to him and wanted to find more podcasts featuring Chamath. I searched the Podcast app and found a few but there was no way to 'subscribe' to a feed featuring Chamath. This put a bug in my mind about making something to accomplish this and skip forward a few years, I've finally built One Keynote (www.onekeynote.com). It's a simple build, relying on Listen Notes to provide the RSS feed and podcast information. Each day I manually search for new podcast episodes and add them to the respective podcast feed. For those with their own podcast (ex. Jason Calacanis), I do not add those episode as I suspect you already subscribe if you like listening to Jason. Some might say "Listen Notes already has a way to get notified of new podcasts - why reinvent the wheel?!" Well that's not actually true. There is a big difference between a podcast featuring a guest and a podcast talking about a guest. Search for Bill Gates and you'll see what I mean. Getting notified of new 'Bill Gates' podcasts means a heavy stream of conspiracy theories, while subscribing to his One Keynote feed (https://onekeynote.com/home/bill-gates/) means only podcasts where Bill is a guest. Here is are just a few of the current feeds and the number of episodes in each. -Anne Wojcicki (16) -Ben Horowitz (29) -Biz Stone (13) -Brian Chesky (35) -Chris Sacca (10) -Elon Musk (9) -Harley Finkelstein (50!) -John Collison (21) -Marc Benioff (30) -Marc Cuban (68!) -Michael Saylor (28) -Noah Kagan (63!) -Reid Hoffman (48) -Sam Parr (62!) -Steve Blank (30) I'd love for you to check out onekeynote.com, feedback welcome!

Visit product View on Hacker NewsMay 17, 2021

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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nativeThis product was originally launched on this platform.

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