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ACME Hugger – Make Nginx have native ACME capabilities

Hacker News

ACME Hugger – Make Nginx have native ACME capabilities

Hi, this is Glen. I find setting up Nginx with an ACME tool very involved and painful. Inspired by Caddy's automatic HTTPS, I created something similar for Nginx. It mainly addresses the followings: 1. Nginx cannot have HTTPS configuration before the certificates are obtained. So you need to edit the configuration at least once, and also manually reload it after that. 2. Nginx and the ACME tool needs to agree on the location to read and write ACME challenge answers. It can be error-prone. 3. Cron jobs have be set up to periodically renew the certificates and Nginx needs to be reloaded after that. 4. With the above drawbacks, provisioning an HTTPS web server in an automatic way is quite challenging. With ACME Hugger, you sprinkle the Nginx configuration with a few ACME directives, and it will process the configuration, talk to an ACME server and run Nginx with a derived configuration, to handle all of the above automatically. I hope others can find it useful too. Feedbacks are welcomed.

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Hacker NewsStrong engagement from HN community · Strong signals: nginx, io · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: answers, way · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, 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
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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