Selvum – a password manager designed to outlive its developer
What it does
Selvum is the 100% offline digital vault for storing passwords, cards, secure notes and seed phrases without depending on the cloud or paying subscriptions. Most managers store millions of vaults in the same infrastructure. When all secrets live in the same place, that place becomes a target. Cloud managers store millions of vaults in the same place. If they break in, everyone’s passwords leak — yours included. Stop paying and you may lose access to your own passwords. You’re paying every month just to log in. Other managers track what you open, when, and from where. Your activity becomes part of their product. Every account becomes a sealed compartment. A unique key per service. A vault…from selvum.app
Does the same job
all alternatives →- SASpicyPass – A free and open-source minimalist password manager2020 · github.com · ▲241
- APA password manager using Keybase for encryption and storage2017 · github.com · ▲172
- NANoKey, a Distributed Password Manager Without a Master Password2018 · github.com · ▲37
- POPassbolt – open-source password manager for teams2016 · passbolt.com · ▲62
- PApassgo, a command line password manager written in go2016 · github.com · ▲40
- KAKeycat – A self-hosted end-to-end encrypted password manager2019 · key.cat · ▲87
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Launched alongside, August 2026
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- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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