Zap – another JavaScript package manager

Hacker News

Hey! Zap is another package manager for the JavasScript ecosystem, written in Crystal and I have been working on this side project of mine for a year or so on-and-off. It aims to be fast but also: - flexible: configurable and supports advanced features like multiple install strategies, overrides, package extensions, workspaces, private registries… - reliable: multiple anti-corruption checks, store is flocked and supports multiple processes reading/writing to it… - dev friendly: tries to be sensible about the ouput and still display all the info needed There is still much work to do ( cough windows support) but I a quite happy with the current state so far. Unfortunately I will start a new job tomorrow hence I will not have the same amount of time to dedicate to Zap anymore, so I am posting the link here just in case someone is interested in trying it out :).

Visit product View on Hacker NewsOct 15, 2023

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Did not reach leaderboard

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

91%91% 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: new · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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 · Strong signals: friendly · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% 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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