A CLI for Confidential Journaling the Speed of Thought

Hacker News

My mom or other people kept finding my diary because I carried it around. Traditional journaling apps were too slow for capturing my thoughts effectively. That's why I created something new—fast, private journaling that keeps my thoughts safe from prying eyes. Welcome to a diary as quick as your thoughts and as private as your mind. This CLI lets you journal super quickly without anyone discovering your thoughts, thanks to its strong AES encryption. Features: - Protects your posts using AES-256 encryption - Ensures only you can access the journal - Works on Linux, macOS, and Windows - Create, view, edit, and delete journal entries - Easily find posts by keywords or dates - Supports terminal-based text editors for seamless writing - View posts by year and month for easy navigation - Perform specific actions directly from the terminal To install it, run: npm install -g secret-journal For more info or in case of issues, check out the repo linked above.

Visit product View on Hacker NewsJul 13, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apps · Missing: agents, agent, cursor

87%87% 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 · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, month · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

28%28% 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 · Strong signals: arr · Missing: mrr, revenue, profit

20%20% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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