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CNS – Cryptographic Network Service (key vault)

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CNS – Cryptographic Network Service (key vault)

Hello Hacker News, I built a cryptographic network service (CNS) to serve as a key vault. The idea is to deploy this on a dedicated host to effectively create a hardware security module (HSM) but one that communicates through an HTTPS REST API and can be extended to execute any cryptographic operation. Features: - Password hashing using Argon2id and signing JWTs with HS256. More cryptographic operations can be easily added as needed. - Password hashing and JWT signing over HTTPS. Keys never leave the vault. - Multiple clients (i.e. users of the keys in the key vault) with one or more keys. - An admin CLI for key management tasks. CNS is the first step in a larger project of mine to run my own "data center" from home and to self-host as much of my own software as possible.

Visit productView on Hacker NewsMay 15, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, tasks · Missing: mac, agents, macos
70%70% 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 · 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: hacker news, ide, io · Missing: https docs, excited, just released
54%54% 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 · Strong signals: users · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
33%33% 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
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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