Localias, securely manage local devserver aliases

Hacker News

Hey HN, Localias is a new tool that you can use to securely manage your local development servers. Use localias to securely proxy a local development server running on http://localhost:3000 and access it at https://frontend.test . Localias is built on top of Caddy, so it's secure and performant. And because it's built on top of Caddy, it will automatically generate and install a custom root certificate, and automatically generate and sign certificates for each of your aliases. This all works by editing your /etc/hosts file and generating a Caddy config, then running the proxy server for you either in the foreground or as a daemon. It's easier to deal with than running Caddy yourself. Your whole team can share a configuration file in your git repo, making it easier to share URLs with each other while developing. I hope you try it out and find it useful! The code is MIT-licensed and I'm happy to accept any feedback, feature requests, PRs, or comments. Have a good weekend, Peter

Visit product View on Hacker NewsMay 19, 2023

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

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

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

53%53% 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: host · Missing: plus, platform, intuitive

47%47% 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

27%27% 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

12%12% 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.

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