Xink, a TypeScript filesystem API router

Hacker News

And it's a Vite plugin, but isn't everything these days? (pronounced "zinc") xink's unique feature is that it's a directory-based router. Think Next's App router or SvelteKit routing. And since this is for APIs, each route file should export functions named after HTTP methods in order to define your route handlers (e.g. GET). I like using this in SvelteKit, and since I couldn't really find an API-only router that uses a similar strategy, I decided to put something together. xink is in the alpha stage (maybe beta??) and I'm looking for contributors to help make it better. I currently only code as a hobby, so I'm sure there are some areas that need improvement, fixing, or some major thing(s) I've overlooked.

Visit product View on Hacker NewsNov 26, 2024

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

76%76% 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, apis · Missing: mac, agents, macos

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

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

34%34% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

18%18% 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

16%16% 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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