HN-Daily Podcast – Recapping Last 24 Hours Top Stories

Hacker News

Hey HN! Started out with an idea over the holidays to start building a system that creates daily digests of content I follow as a podcast, such that I can listen to it when commuting. The first one is one that takes the top articles of HN in the last 24 hours and builds them into a podcast. It took forever to tweak it in such a way that it doesn't sound 100% AI, isn't too sensational, but also not extremely boring. I've been tweaking over the past weeks to get it just right and I'm pretty happy with what comes out of it now. I've just submitted / got them all up and running on Spotify and Apple Podcasts and so kind of - launching it? - Apple Podcasts link: https://podcasts.apple.com/us/podcast/hackernews-daily/id179... - Spotify Link: https://open.spotify.com/show/6WQFgIvfC2NiMCFRINre5P?si=3f71... I have some future ideas that would make this even better for me - Build more shows like this (next is probably a daily digest of news in and around Amsterdam - as I live there). Possibly in such a way that you could create a tailor made podcast. Like, 3 HN articles, Weather in Amsterdam, and 2 Amsterdam news articles, or something like that. - Build some integrations, so it can be a bit more personal. Like, my current location for the weather, or maybe even my calendar for a personalized intro message. Would love to hear your questions, thoughts, ideas, and things that can be improved! Little Thread on X with some more info on how I built it: https://x.com/rolandpeelen/status/1879261341476942010

Visit product View on Hacker NewsJan 14, 2025

Share card

Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new, open · Missing: mac, agents, macos

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Daily podcast featuring HN's top stories42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Daily podcast featuring HN's top stories

Hacker News1

Consume an idiom, one in every 24 hours52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Consume an idiom, one in every 24 hours

Hacker News1

24 hours && 24 red bulls52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

24 hours && 24 red bulls

Hacker News17

My wannabe entrepreneur daily podcast40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My wannabe entrepreneur daily podcast

Hacker News3

HNText – Top stories daily cleaned for readability

Hacker News36

Our first OSX app, FontPrep, free for 24 hours50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our first OSX app, FontPrep, free for 24 hours

Hacker News2

Productizebook.co – A book I wrote in 24 hours61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Productizebook.co – A book I wrote in 24 hours

Hacker News6

Podcastify50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate podcast in seconds, not hours

TrustMRR28$210/moContent Creation

Implementing Elm43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Podcast for Elm community covering implementation stories

Indie Hackers1content

Tech stories with lots of conversation in past 24 hours58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tech stories with lots of conversation in past 24 hours

Hacker News51

Browse all products Analyze your launch