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SSH-add helper for WSL to store passphrases in wincred

Hacker News

SSH-add helper for WSL to store passphrases in wincred

$corporate recently moved us from Linux to Windows. While I'm disappointed, I quickly setup a WSL-first approach, which actually works really well. However, I soon realized there was no keystore available in my env. `pass` is my go-to, but not everyone wants to deal with GPG setup, so I looked into alternatives for my team. Most people recommend gnome-keyring, but I’m not a fan of bloated solutions. The thing is, I already have a keystore just outside WSL: the Windows Credential Manager (wincred). So here we are, let's welcome `winaskpass`: a Rust tool to store secrets in wincred using a C# script via powershell from WSL.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
54%54% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
38%38% 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
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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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