Website for creating self-signed certificates

Hacker News

If you're developing locally and need to use HTTPS for whatever, then this tool is hopefully useful to you. I made it because there's a lot of bad info online about generating self-signed certificates. For instance, a lot of guides don't use the SAN list extension or show you how to create a proper certificate chain. Firefox doesn't allow a CA certificate to be used as an end certificate. Getting a working certificate can get pretty confusing, especially for newcomers to certificates or webdev. Having a website for this also means the process of getting a certificate is the same, no matter if you're on a Unix-like OS or Windows. A WebAssembly module built with C++ and Mbed TLS is used to create the keys and certificates. TypeScript and Preact is used for the UI.

Visit product View on Hacker NewsMar 17, 2024

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

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% 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

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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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