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Lightweight Maybe Library for TypeScript / JavaScript

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Lightweight Maybe Library for TypeScript / JavaScript

A `Maybe` library for TypeScript / JavaScript. This tries to have as little overhead as possible by having a `Maybe<T>` as `T | null | undefined` then using functions for dealing with maybes. As opposed to having custom datasructures and dsls. The library provides typesafe functions for creating pipelines from a maybe as well as traditional `getOrElse` type functions. This aims to make dealing with null's and undefined values simpler as well as allowing the flexibility of opting into as much or as little as the library as you require.

Visit productView on Hacker NewsJul 27, 2022
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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
60%60% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

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