PrivacyProtect – Portable Secret improved: encrypt and store secrets

Hacker News

On the 40-day anniversary of the Portable Secret Show HN ( https://news.ycombinator.com/item?id=34083366 ), I introduce PrivacyProtect. Portable Secret's mprime1 has little time for upkeep, so, with his blessing, PrivacyProtect picks up where he left off and incorporates the following updates, - Improved security - SHA-512 and 2,100,000 iterations instead of SHA-1 and 1,000,000 - Generate IV and salt at encryption time to prevent reuse - Clear forms on submit - CLI: still WIP, but have a proof of concept working of using NodeJS's WebCrypto APIs to create the HTML files without the UI - Improved UI - Use type="password" for password fields - Show/hide password - Press enter to decrypt - Don't show password hint if not provided - Use form HTML element Play around with it, and let me know what you think! Find more details in the launch blog: https://www.rocky.dev/blog/introducing-privacyprotect .

Visit product View on Hacker NewsJan 31, 2023

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

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

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

56%56% 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 · Missing: mobile apps, ios, personal

47%47% 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

40%40% 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

19%19% 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, introduce · Missing: web3, chat, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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