An open-source, self-hostable synced narration platform for ebooks

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Hi, I made a thing! This is by far the most work I've ever sunk into a side project; I've been working on this thing for over two years, and I'm super proud of it, even though there's still a lot more to do! Storyteller is a self-hosted platform for ebooks with synced narration. This is basically self-hosted WhisperSync, for anyone familiar with that Amazon product. It's currently made up of two self-hostable backend systems and a mobile app for reading and listening to the books it produces. Technically it uses an open spec, EPUB 3's "Media Overlay", for syncing the narration, but very few ebook apps actually support Media Overlays, and even fewer work well and have nice interfaces. The mobile app is available on the Apple App Store as "Storyteller Reader", and I plan to release it for Android as well early next year. Anyway, I hope someone finds this interesting or useful!

Visit product View on Hacker NewsDec 23, 2023

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

82%82% predicted probability of success on Product Hunt, 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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, interface · Missing: plus, intuitive, reviews

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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.

Correct prediction on native model

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