Schtate – Functional Data Containers with a Familiar API

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Looking for feedback on my library. I work mainly with React at work, as data is passed down as props, we end up performing a lot of transformations and checks on it. Most React developers leverage arrays heavily because the intuitive immutable, chainable API that JS arrays offer works really well with React's functional model. The purpose of this library is to make other types of data just as easy to work with by mirroring the Array API whenever possible, keeping immutability and chaining as first class features. It is not just for React developers, but anybody who has to manipulate data and hates having to write `if` statements. The library has zero runtime dependencies and 100% test coverage.

Visit product View on Hacker NewsDec 21, 2022

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

88%88% 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 · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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