React-Lucy-State – experimental replacement of React.useState

Hacker News

Hey, some time ago I submitted my other library ( https://github.com/bloomca/veles ) where I built an entire new UI library which supports atomic state updates. However, I realized that it requires rewriting of the entire applications in case you want to use it, and also there is no proper support for things like routing. So I tried to extract the data layer which allows for atomic updates and adapt it to React. The result is a somewhat convoluted framework which can work under some circumstances. Please let me know if you have any ideas/questions! I like the topic of performance a lot and would love to speed up React apps (or any JS apps for that matter).

Visit product View on Hacker NewsSep 11, 2024

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

89%89% 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.

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps · 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

13%13% 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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