TL

TLS Certificate Management and PKI

Hacker News

TLS Certificate Management and PKI

Hello! This project is a TLS/X.509 certificate manager and PKI. Designed to provision and install your TLS certificates across public and private endpoints. It's something I created for my home lab, but has quickly expanded as I have been experimenting more and more with AI development tooling. You can see the product overview: https://www.zaita.com It's architecture and usage is nicely documented: https://docs.zaita.com Unfortunately, you do need to sign up to have a play, but there is a demo instance that doesn't require a credit card. Just enter an email (I won't send you any emails) and password. Keen for feedback. I've found the major players in the industry are only interested in Enterprise arrangements. I wanted something I could use in my home lab across my many docker containers etc, but still had cool features like network discovery and certificate transparency log scanning.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
67%67% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
58%58% 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 · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: dock, email · Missing: mac, agents, macos
48%48% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
10%10% 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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