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Encyfr – post-quantum encryption for all

Hacker News

Encyfr – post-quantum encryption for all

I wanted proper post-quantum crypto tools on my phone, so I built encyfr. There’s no telemetry, no accounts, and everything runs locally. It supports key generation/management, file encryption, and signing with the NIST pqc choices (Kyber, Dilithium, AES256) as well as password modes. Normally I haven't bothered circulating my work, but several recent concerns about phone compromise can be resolved with proper encryption utilities like these (e.g. any agency with a GrayKey). I’m curious if others here find this kind of thing useful/interesting, and what features would make it genuinely useful to you. Not available in France.

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
62%62% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: supports · Missing: reddit linkedin, podcasting, created
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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