try-module.cloud – Preview and share NPM Packages from any PR

Hacker News

I built try-module.cloud because at work we maintain several npm packages, and collaborating across multiple teams and features is a pain. We often need to test changes from PR's or feature branches before merging, but didn’t want to publish temporary versions to the public npm registry all the time - as we have done before (probably every dev here has public package full of garbage versions because of this). I was heavily inspired by pkg.pr.new (awesome product), but found it was missing some features we needed, most important was private packages. Key features: + Build and share installable npm packages directly from any branch or pull request + Get a unique install URL for each commit, branch and pr + Keep previews private and manage access with organizations and API keys + Built-in support for including GitHub Actions

Visit product View on Hacker NewsMay 19, 2025

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

80%80% 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: including, organizations · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

32%32% 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

20%20% 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

20%20% 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.

Correct prediction on native model

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