Kinekt: a typescript-first web framework for building REST Apis

Hacker News

I created a web framework called kinekt and would like to introduce it to the community. Kinekt is a TypeScript-first, high-performance web framework built on web standards. It has the following features which set it apart from other frameworks in the javascript realm: - It is 100% type safe. It supports the use of zod schemas to declare endpoints - It has great DX. It auto-infers a client function for every endpoint you declare, making it extremely useful for developing full-stack web apps which are completely written in TypeScript - It is highly modular. The middleware engine is unlike most other existing implementations and follows a functional-style paradigm It is still in early development stages. Feedback is highly appreciated!

Visit product View on Hacker NewsDec 18, 2024

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

81%81% 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 · Strong signals: supports, created, para · Missing: reddit linkedin, podcasting, latex

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% 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 · Strong signals: apps, para · Missing: mobile apps, ios, personal

34%34% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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