NakedJSX – command line JSX based static site generator

Hacker News

NakedJSX – command line JSX based static site generator

I have built an open-source static site generator that is based on turning JSX into HTML and CSS at build-time. No JavaScript remains in the output unless you add your own. I wanted to present it to the community for the first time, and ask for your feedback before I solidify the Page.* API and make a 1.0 release. The focus is on build-time functionality, but NakedJSX also provides an optional (tiny) runtime that enables client JavaScript to use JSX to create DOM nodes. It’s totally up to you how and when they are added to the document. Lots of magic happening at build time, back to basics in the browser. It aims to be low friction - no need to set up or maintain a Node.js project unless you want to. Just run npx nakedjsx on a source folder to get a website in an output folder. A development mode build & web server with a browser live-refresh facility is included. Several more features are documented in detail on the website. You can try it right now, and I would really appreciate it if you could share your thoughts!

Visit product View on Hacker NewsMay 30, 2023

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2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tiny, open · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% 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 · Missing: plus, platform, intuitive

52%52% 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

29%29% 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

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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