An extension that opens any Goodreads book in anna's or Zlib in a click

Hacker News

"Open Books in Zlib Or Anna's Archive with a button on Goodreads in one click." I built a free, open source browser extension that adds buttons directly onto Goodreads book pages. Instead of copying titles and searching manually, you just click the badge for whichever source you want. You can also toggle sources on/off so say if you only want Z-Lib and Anna's Archive badges and not Gutenberg, you can do exactly that. Supported sources: Anna's Archive Z-Library Project Gutenberg AudioBookBay (new!) Supported sites: • Goodreads • StoryGraph • Hardcover • Babelio • Novelupdates it is available on : -chrome -firefox - Edge Available on Chrome and Firefox. Also for firefox mobile Anime.js used for animation No data collected , you can verify that yourself via the source code on GitHub or the privacy page. This has been updated to V1.0.8 ! it is free and open source , if you want to support me and like this extension , pls star it and rate it. ( Also you can github sponsor me! ) Thanks.

Visit product View on Hacker NewsMar 31, 2026

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

80%80% 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, podcasting

57%57% 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

38%38% predicted probability of success on TrustMRR, 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.

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

34%34% 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 · 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

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