Vite React Boilerplate – A Production Ready, Scalable Starter Template

Hacker News

Hello everyone, I’ve created this starter project for creating production ready web apps in Vite and React that I hope some might find useful. This template came about as a necessity to provide some standardization across new projects at work. A few of the initial goals when creating this project were to: - Reduce setup time - Standardize codebase with ESLint and Prettier - Improve commit messages with tools like husky, commitizen and commitlint - Improve codebase maintainability and scalability by providing a reasonable folder structure - Simplify React Component development through use of tools like Storybook - Improving codebase stability with unit and E2E tests via Vitest + React Testing Library and Playwright respectively - Ease the deployment process by providing a simple starter Dockerfile In addition to all the aforementioned goals, I also wanted to use modern tools such as React Query + Zustand for state management, React Hook Form + Zod for creating and validating forms, Tailwind CSS for building out UI’s, etc. I tried to cover everything I, and others, might need but recognize that everyones requirements are different. Luckily, this isn’t a framework so removing unneeded packages or adding new ones is as simple it would normally be. The project itself doesn’t come with a demo as its purpose is to simply provide a foundation for any new projects you might have in mind. Feedback is always welcome and I appreciate anyone willing to checkout this project. Thank you and have a great day.

Visit product View on Hacker NewsJul 29, 2023

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

91%91% 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: apps, dock, new · Missing: mac, agents, macos

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

AppSumoStrong fit for a featured deal · 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: apps, way · Missing: mobile apps, ios, personal

46%46% 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, io · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

11%11% 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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