Convert subreddit top articles to podcast episodes, automatically

Hacker News

In the last 2 months, I've been fighting spammers, fixing bugs, working on SEO, page speed and launching new features. This is because I bought a text-to-speech website in Feb '24. Now, today, it's time to release a new feature I've been working on among all other things: converting articles to podcast episodes. The idea is to convert articles to different styles of podcast episodes, such as dialogue, monologue, storytelling and daily or weekly recaps. Daily or weekly recaps are created from news feeds, such as the subreddit I used in the News Feeds example (/r/climate) For technical reference, I'm using ElevenLabs, OpenAI, Python and NodeJS.

Visit product View on Hacker NewsApr 17, 2024

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

83%83% 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: created · Missing: supports, reddit linkedin, podcasting

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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