Asciibook – An eBook Generator for AsciiDoc

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Asciibook is an e-book generator tool that can convert AsciiDoc to e-books in HTML/PDF/EPUB/MOBI format. GitBook used to be the best open source e-book generator, but they abandoned the project at the end of 2018. E-book authors either continue to use GitBook without maintenance or write their own scripts. So I came up with the idea to write a new eBook generation tool to replace GitBook. Homepage: https://asciibook.org/ GitHub: https://github.com/asciibook/asciibook Features: - Supports generation of HTML/PDF/EPUB/MOBI. - Based on the command line, distributed via docker, works well with CI/CD. - HTML/CSS/JavaScript based theme system. - Support latexmath. For demonstrate, I generated an e-book using the source code of the "Pro Git", please visit https://asciibook.org/progit2/. This project has just been released, I will continue to optimize it. Welcome to use and provide feedback.

Visit product View on Hacker NewsFeb 20, 2020

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

91%91% 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.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

62%62% 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, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: dock, new, using · Missing: mac, agents, macos

27%27% predicted probability of success on Product Hunt, 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.

Correct prediction on native model

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AI Ebook Creator

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