Command-line secrets manager powered by macOS keychains

Hacker News

Hey folks! I've been cleaning this up for the past few weeks for sharing it out. It's a small CLI to manage secrets by storing them in keychains on macOS. I wrote this after rejecting 1Password / Keeper / Lastpass as I didn't want to rely on a third party and a credit card subscription for storing a few secrets. My needs were simple: a nice CLI to securely store secrets and inject them in scripts. That's mostly it. Everything else seemed overkill. Now with keychains, I get that, plus a nice native and familiar UI to manage my secret, as well as syncing across my machines. Hope this is useful for someone else! Please, let me know if you try it out and tell me what you think! Thank you!

Visit product View on Hacker NewsAug 14, 2023

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Launch Intel predictions

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

76%76% 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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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