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Jern – a secure terminal-based journaling tool

Hacker News

Jern – a secure terminal-based journaling tool

The main goal of Jern is to be very simple and easy to use, but provide a modicum of security for your journal entries, at least to prying eyes. It was fun to learn about AES-128 and IVs and such, but I understand that this isn't a perfect solution. Right now I have a build ready to use for Windows, but it technically (should) work on Mac and Linux! Requires .NET 8 to build. Powered by the awesome GUI library Terminal.Gui, please check them out too Decided it's about time to start putting eyes on my projects and this one is the most complete. Please feel free to provide any feedback or recommendations, thanks HN!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, 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
38%38% 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
26%26% predicted probability of success on TrustMRR, 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.

Correct prediction on native model

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