I just launched my first video course (React/Next.js)

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Hey everyone. I'm excited to announce a brand-new video course I created called Mastering Next.js. It's the course I wish I had when starting out with React & learning about server-side rendering. Why should you care? React is taking over in front-end development and Next.js is quickly rising as the go-to framework for building Universal JavaScript applications. Companies like Netflix, GitHub, Hulu, Uber, etc. are looking for engineers familiar with Next.js & React. Why did I make the course? I've been using React & Next.js extensively in my professional and personal career. I love React and Next and want to share my expertise with the world! To celebrate the release, I'm launching with a 50% discount! I guarantee you will learn plenty of new tips & tricks for building Next/React applications. The course includes 2 full example applications, 4+ hours of content, and 50+ jam-packed lessons. You'll have access to the entire source code for both applications, and lifetime access to the videos. If you have any questions, feel free to shoot me a message. I do offer team pricing / group rates and student discounts for those who can verify their enrollment. If you're interested, you can find more info here -> https://masteringnextjs.com/

Visit product View on Hacker NewsFeb 9, 2020

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

92%92% 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.

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

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

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: lifetime access · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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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