React 18 Node TypeScript ESM SSR project creator

Hacker News

I just have built this https://www.npmjs.com/package/hoosat-create . Has custom made API server on top of node which is similar to express. Uses renderToPipeableStream for SSR. The goal for me is not to build stack which has ton of features, but a fresh starting point for you to learn implementing everything yourself. ## Features - Full-stack TypeScript application using React and Node HTTP/HTTPS. - Working serverside seo with `react-helmet-async` - Client side routes with `BrowserRouter`, server uses `StaticRouter` - Supports ES modules for server-side and client-side ```. - Configured with Webpack for production builds. - Includes Jest for unit testing. - Includes example components and routes for getting started. - Includes HoosatUI as optional dependency as git submodule. - `npx hoosat-create@latest submodule` for creating empty submodule. - Template code: https://github.com/Hoosat-Oy/hoosat-template ## Give it a try: ``` npx hoosat-create@latest ``` Basically everything you need for basic project. E2E and such you can add yourself. What do you think?

Visit product View on Hacker NewsMay 19, 2023

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

86%86% 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: using, code · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

35%35% 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

17%17% 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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