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Generate a seed phrase on the fly (no storage) – SecretMemoryLocker

Hacker News

Generate a seed phrase on the fly (no storage) – SecretMemoryLocker

Storing seed phrases on paper or in files is a huge security risk. Paper can be lost or destroyed; digital copies can be stolen. My project, SecretMemoryLocker, introduces an experimental feature to solve this. Instead of storing a seed phrase, it deterministically regenerates it on demand from three components: - Encrypted archive (.zip): A personal file whose SHA256 hash acts as a unique cryptographic salt. - Question file (.json): A chain of secret questions where each is encrypted with the answer to the previous one, all tied to the archive's salt. - Your memory: The answers, which are never stored digitally. The entropy for the BIP39 seed phrase is generated by combining these elements: Entropy ≈ SHA256(Σ SHA256(question + answer + file_hash)) The resulting seed phrase exists only in RAM and is erased when the application closes. Key benefits: - Immune to theft: With no stored phrase, there is nothing for hackers or thieves to find. - Distributed security: You can keep the .zip and .json files in separate locations, requiring an attacker to compromise multiple points. - Secure inheritance: Allows you to leave instructions for an heir to regenerate access without ever writing down the full secret. The trade-off: You exchange the risk of theft for the risk of forgetting your answers. Security depends on the strength of your personal secrets. You can download the latest Windows release and test it here: https://github.com/SecretML/SecretMemoryLocker I'd love to hear your thoughts, criticism, and suggestions.

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
75%75% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, answers, para · Missing: mobile apps, ios, entrepreneurs
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
36%36% 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
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, introduce · Missing: web3, chat, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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