I wrote a book about learning ReactJS

Hacker News

Hello HN, I wrote a book about making web application using React. It's called React Distilled, and it explores the fundamental principles of React systematically in 7 days. Website: https://sebhastian.com/react-distilled/ The book distills the most important topic to learn about React, so you don't have to painstakingly browse the web, looking for pieces of React knowledge to build a fully working application. The 7 parts will have the following content: Day 1 - React 101, a practical introduction of React fundamentals Day 2 - Routing, how to make navigation works and in sync with Browser URL Day 3 - Form and Input Controls, to learn about accepting, validating, and submitting user inputs Day 4 - React lifecycle functions, to learn the lifecycle of components and their uses Day 5 - Using Firebase as React backend service, to learn how React can interact with backend services Day 6 - Adding Firebase Authentication, to secure your application from anauthorized access Day 7 - Optimizing and deploying, where you will deploy DGBook into Netlify React Distilled considers your time important, and will actually make you understand how to create a React application from start to finish in one week, not months! If you have any friends who are getting into React but are overwhelmed with so many stuff to learn, You can share this news, or tell me and I will reach out to them :) Thanks for reading! Nathan

Visit product View on Hacker NewsMar 5, 2019

Share card

Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

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.

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

66%66% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

34%34% 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

14%14% 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

Similar products

Practicing Rails, a book about learning Rails without being overwhelmed52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Practicing Rails, a book about learning Rails without being overwhelmed

Hacker News14

I wrote a book about Grokking Deep Learning79%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 Grokking Deep Learning

Hacker News5

Learning to Launch – Free Book52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Learning to Launch – Free Book

Hacker News6

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

I published a book on Django48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I published a book on Django

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

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