I

I made a tool to build attractive Astro websites faster

Hacker News

I made a tool to build attractive Astro websites faster

Hey HN, I made a tool called 10x DevKit, and I'm excited to share it with you. It's an Astro project foundation generator designed to make the process of building high-quality websites faster. The idea came to me while I was building the landing page for my previous project, Yaad. I realized I was spending a significant amount of time on tasks that were common across many websites (SEO, accessibility, multilingual, etc.). 10x DevKit aims to solve this by providing a production-ready foundation with these features built-in. It's built with Astro and TS, but it's not a framework – it gives full control over the generated codebase and can customize it to your needs. Key features: - SEO: Sitemap, robots.txt, structured data, search engine snippet hints – all handled automatically. - Accessibility: Built with best practices in mind, including best-in-class localization features and keyboard navigation. - Multilingual Support: Translation keys for all user-facing strings, 11 built-in language packs for common strings, and excellent RTL support. - Performance: Image optimization, code minification, and a focus on achieving near-perfect Lighthouse scores. - Themes: 26 built-in themes (compatible with daisyUI), dark/light mode, and a visual theme playground ( https://10xdevkit.com/theme ). - Blog: A comprehensive Markdown-based blog with pagination, categories, social sharing, RSS feeds, and more. - Flexibility: Integrates seamlessly with your favorite frameworks. Why I built it: I wanted a tool that would let me focus on the unique aspects of my projects without getting bogged down in repetitive setup. I believe 10x DevKit can be valuable for other developers facing similar challenges. Tech Stack: - Astro - Vanilla TypeScript - Tailwind CSS - daisyUI Link: https://10xdevkit.com I'm here to answer any questions you have about the tech or the implementation. I'm also open to feedback and suggestions on how to improve it. Thanks for taking the time to check it out!

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: including, compatible · Missing: supports, reddit linkedin, podcasting
95%95% 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: user, visual, tasks · Missing: mac, agents, macos
79%79% 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
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, ide · Missing: https docs, just released, exist
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · Strong signals: active · Missing: arr, mrr, revenue
12%12% 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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