open-source App Engine ePub hosting service

Hacker News

Wrote this for fun: an App Engine site to let people store, search, and share quotes from DRM-free ebooks that they upload. http://www.epubhost.com/ Written in Python, code here: http://github.com/rezendi/epubhub Whole bunch of stuff I'd like to do, eg extend support to DRM-free Kindle books (yes, they do exist!), cache books locally via HTML5 for mobile reading, share quotes to FB/Twitter, etc. Hopefully useful as an example of an App Engine site written in Python that includes use of background tasks, the BigTable datastore, Google's full-text Search API, etc. I did make a cursory check for existing libraries and didn't find anything that quite seemed to fit (other than TweePy), but I expect there are several that I could and should have used... Note that only Creative Commons and Public Domain books are publicly available (and I'm the only one who verifies what's CC and PD) in order to avoid rights violations. I'm sure there are bugs, too, and notifications of such would be welcome.

Visit product View on Hacker NewsDec 4, 2012

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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, google, tasks · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

15%15% 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.

Incorrect prediction on native model

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