I published a book on Django

Hacker News

I recently published a book on Django and wanted to share it with the HN community. The book takes a beginner Django developer through a series of 7 projects that use various parts of the Django framework. I would have loved to provide a full sample chapter, unfortunately all I have is part of the first chapter. You can see it at https://www.packtpub.com/books/content/quick-user-authentication-setup-django. I'd love any feedback you guys can give. And I'll answer any questions that you may have as well. The book is available on Amazon at https://www.amazon.com/Django-Project-Blueprints-Jibran-Ahmed/dp/1783985429/ and on Safari Books Online at https://www.safaribooksonline.com/library/view/django-project-blueprints/9781783985425/.

Visit product View on Hacker NewsSep 15, 2016

Share card

Actual performance

4points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

78%78% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% 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 · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

24%24% 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

10%10% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

An ABC Book in CSS361%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An ABC Book in CSS3

Hacker News4

The Jungle Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Jungle Book

Hacker News3

Lovability Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lovability Book

Hacker News10

Java 9 Modularity (O'Reilly), my book on the Java module system31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Java 9 Modularity (O'Reilly), my book on the Java module system

Hacker News1

I Wrote a Book: Minimum Viable Perl80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Wrote a Book: Minimum Viable Perl

Hacker News9

A Book Published with MkDocs50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Book Published with MkDocs

Hacker News3

I wrote a book about WebAssembly88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I wrote a book about WebAssembly

Hacker News410

My first ever e-book, Hacking Obamacare65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first ever e-book, Hacking Obamacare

Hacker News6

I Wrote a Book on ReactiveCocoa75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Wrote a Book on ReactiveCocoa

Hacker News1

PureScript Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PureScript Book

Hacker News6

Browse all products Analyze your launch