Turn any Wikipedia article into a language learning "podcast"

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I made this script because I was using ChatGPT voice mode as a janky implementation of this concept a while ago and found it really useful for building my Spanish vocabulary, and helping me "think in Spanish" (though probably with a stiff-sounding internal monologue). ChatGPT started refusing to return article contents verbatim (Wikipedia's TOS allow this I believe, but ChatGPT has a blanket rule against that sort of thing), so I put this script together using OpenAI & ElevenLabs to accomplish the same thing. This works with just an OpenAI API Key, but sounds much better with ElevenLabs.

Visit product View on Hacker NewsAug 23, 2024

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Actual performance

1points

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Launch Intel predictions

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

85%85% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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

42%42% predicted probability of success on AppSumo, 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: chat · Missing: web3, crypto, cryptocurrency

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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