Se

SecretMemoryLocker – File Encryption Without Static Passwords

Hacker News

SecretMemoryLocker – File Encryption Without Static Passwords

I built SecretMemoryLocker ( https://secretmemorylocker.com ), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk. Why? I kept losing master passwords and wanted a solution that wasn't tied to a single point of failure. I also wanted to create a "digital legacy" that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers. Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian. Key Features: * No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly. * Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata. * Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched. * Offline AI Generation Mode: Optional offline Q&A generator (prototype). How It Works (Simplified): 1) Files are packed into an AES-256 encrypted ZIP archive. 2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file's hash. This forces you to answer them sequentially. 3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this: K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.) To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip To decrypt, you need both files and the correct answers. Install & Quick Start: Download the EXE from GitHub Releases (no dependencies needed): https://github.com/SecretML/SecretMemoryLocker/releases Encrypt: SecretMemoryLocker.exe --encrypt "C:\docs\important.pdf" Decrypt: SecretMemoryLocker.exe --decrypt "C:\docs\important_SMLkey.json" I would love to get your feedback on the concept, the user experience, and any security assumptions I've made. Thanks!

Share card

Actual performance

14points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
83%83% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, user · Missing: agents, agent, cursor
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, answers · Missing: mobile apps, ios, entrepreneurs
43%43% 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
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Xe
Xecrets Ez File Encryption53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Xecrets Ez File Encryption

Hacker News2
Gr
Greybox – symmetric configuration file encryption47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Greybox – symmetric configuration file encryption

Hacker News3
Incisend
Incisend50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Secured File Transferring Platform With AES-256 Encryption

Indie Hackers1b2b
Ch
Check passwords against data breaches using homomorphic encryption44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Check passwords against data breaches using homomorphic encryption

Hacker News1
Ke
Kestrel – Secure File Encryption45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kestrel – Secure File Encryption

Hacker News1
Co
Concryptor – Multi-gigabyte/s file encryption via io_uring and Rayon41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Concryptor – Multi-gigabyte/s file encryption via io_uring and Rayon

Hacker News1
Zi
Zip It – Encryption Anywhere45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zip It – Encryption Anywhere

Hacker News10
Ad
Additive Homomorphic Encryption on Ethereum50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Additive Homomorphic Encryption on Ethereum

Hacker News1
RS
RSME:A Reactive Stability Mutation Encryption47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RSME:A Reactive Stability Mutation Encryption

Hacker News1
Se
Serket – A gem for distributed encryption50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Serket – A gem for distributed encryption

Hacker News1