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ePub_to_audiobook – Now with OpenAI TTS for Natural Voices
Hacker NewsePub_to_audiobook – Now with OpenAI TTS for Natural Voices
Released v0.4.0 of epub_to_audiobook with OpenAI's TTS for a more natural listening experience. Aimed at enhancing your reading sessions. Curious to know what you think about the voice quality. Here are the audio samples generated with this tool: https://github.com/p0n1/epub_to_audiobook#audio-sample
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3points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, open · Missing: mac, agents, macos77%77% 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 · Missing: supports, reddit linkedin, podcasting60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released51%51% 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, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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