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Novops – Secret and Config manager for local and CI environments

Hacker News

Novops – Secret and Config manager for local and CI environments

I made Novops, a FOSS secret manager for development and CI. It fetches secrets and configs from source (Hashicorp Vault, AWS, GCP, Azure...) and ensure they are used securely on your workflow. Key features: - Fetches secrets directly from sources like Hashicorp Vault, AWS, Azure, GCP and others. - Security: loads secrets directly in-memory as files or env vars. Secrets are kept only as long as they are needed. - Integrates with tools like Terraform, Ansible, Docker, Pulumi... - Manage configuration and secrets as files or env vars across multiple environments and contexts. I'll happily hear your feedback !

Visit productView on Hacker NewsMay 23, 2024
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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, context · Missing: mac, agents, macos
69%69% 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
58%58% 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
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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