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Dev-Vault – A secure local vault for your development secrets

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Dev-Vault – A secure local vault for your development secrets

Hi HN, I've been working on a project called Dev-Vault, a tool to help developers manage their secrets and credentials locally in a secure and organized way. I built this because I often found myself struggling with scattered API keys, database passwords, and other sensitive information across different projects. Dev-Vault allows you to: - Securely store secrets: All your secrets are encrypted and stored locally on your machine. - Organize by project: Keep your secrets organized by project for easy access. - Easy to use: It has a simple and intuitive interface to add, edit, and retrieve secrets. I'm looking for feedback and suggestions from the community. Let me know what you think! You can check out the project here: https://github.com/felipevolpatto/dev-vault

Visit productView on Hacker NewsJul 22, 2025
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent
60%60% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
22%22% predicted probability of success on Indie Hackers, 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.

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