LazyReader – Read ebooks and stream audiobooks directly from your cloud

Hacker News

I built LazyReader because I was tired of re-importing the same ebook library whenever I switched devices or reading apps. Most reading apps copy your books into their own storage. LazyReader connects directly to your existing cloud storage, so your books stay where they already are. It supports Dropbox, OneDrive, and Nextcloud. You can browse your library and read EPUBs directly from the cloud, and it now also supports streaming audiobooks directly from cloud storage. So if you have a 1GB M4B audiobook, you don't need to download the entire file to your phone before listening. Since the original version, LazyReader has grown into a much more complete reading app: - EPUB and audiobook support - Library and reading-progress synchronization - Collections and sorting - EPUB and audiobook edition linking - Offline reading and listening - Offline dictionary - Word and phrase search - Notes and highlighting - Text-to-speech - Theming - Multiple cover-enrichment options - Book metadata editing - QR-code book sharing - Interactive/choice-driven EPUB support The interactive EPUB support is probably one of the more unusual parts. EPUBs can contain much more structure than a typical linear ebook, so LazyReader can handle branching and choice-driven books as well as conventional EPUBs. The main idea is still the same as when I started it: your books are your files, and your cloud storage is your storage. LazyReader doesn't require you to import everything into another proprietary library. "LazyReader on Google Play: https://play.google.com/store/apps/details?id=com.lindocode.... Requires an account so your library, reading progress, and cloud-storage connections can be synchronized across devices. I'd be interested in hearing what people think, especially about the cloud-based approach and audiobook streaming. Happy to answer questions about the implementation or anything else.

Visit product View on Hacker NewsSep 9, 2026

Share card

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

90%90% 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.

TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, notes · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · 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

Similar products

Bookman, read ebooks by email37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bookman, read ebooks by email

Hacker News3

Bookman, read more ebooks by email

Hacker News3

Bookman, read ebooks via email37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bookman, read ebooks via email

Hacker News1

BookDark.com - A webapp where you can read over 60000 ebooks for free33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BookDark.com - A webapp where you can read over 60000 ebooks for free

Hacker News3

AudioBox for iOS7 - Stream from any Cloud service48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AudioBox for iOS7 - Stream from any Cloud service

Hacker News1

Jumble Stream (for when you've read everything on HN)58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jumble Stream (for when you've read everything on HN)

Hacker News2

Turn Ebooks into Audiobooks38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn Ebooks into Audiobooks

Hacker News34

Strimoza42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your personal video cloud — stream anywhere, own everything

Indie Hackers

Dosycrypt – homemade symmetric stream cipher with tunable parameters31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dosycrypt – homemade symmetric stream cipher with tunable parameters

Hacker News3

Twitch stream of a bird sitting on her eggs33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitch stream of a bird sitting on her eggs

Hacker News1

Browse all products Analyze your launch