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Convert a Subreddit into a Podcast

Hacker News

Convert a Subreddit into a Podcast

Hello HN community, I'm excited to introduce Crowdcast ( https://github.com/AdmTal/crowdcast ), a project I launched over the weekend. Crowdcast is an open-source, crowd-sourced, AI-generated podcast creator that turns a subreddit into a podcast. It is specifically configured for my subreddit, "crowdcast". Every week, the top three comments from the weekly stickied thread on the subreddit are converted into a podcast episode. We also sprinkle in some user-submitted, humorous fake ads for a unique touch of community flavor. The goal of Crowdcast is to foster community engagement and demonstrate how AI can automate content creation in a fresh, entertaining way. Crowdcast is built with Python, utilizing various AI technologies to transform text into speech. The code is open-source and available on GitHub for those interested in the inner workings or willing to contribute. Every week, we commit the scripts for the shows to the GitHub repo. You can also listen to the podcast at https://www.buzzsprout.com/2188164/share to get a taste of the final product. The next show will be posted on 5/19, and I can't wait to hear what it turns out to be! I'd greatly appreciate any feedback, comments, or suggestions. Your thoughts on the concept, the implementation, or ideas for future improvements would be invaluable. GitHub: https://github.com/AdmTal/crowdcast Subreddit: https://www.reddit.com/r/crowdcast/ Podcast: https://www.buzzsprout.com/2188164/share

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, code, open · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, ide · Missing: https docs, just released, exist
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
45%45% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · 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

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