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I built a low-level crypto lib that adds passwords to wallet mnemonics

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I built a low-level crypto lib that adds passwords to wallet mnemonics

TL;DR: Today’s mnemonics are bare assets with no cryptographic protection. I built a low low-level crypto lib that adds passwords to wallet mnemonics, so leaking your mnemonic no longer leaks your assets. In the first half of 2025, more than $1.7B in crypto assets were stolen, and roughly 70% of those incidents involved mnemonic-compromise pathways. The core problem is structural. I built MSCIKDF to directly solve this. Here is the playground: https://github.com/mscikdf/mscikdf-playground MSCIKDF is a core lib that introduces passphrase-sealed mnemonics, built-in multichain, and rotatable secrets at the cryptographic layer. It ensures that: - The seed is never stored on disk, and never kept in memory (apps/browser extensions)—it only exists for ~20 microseconds during signing or verification. - A mnemonic and its passphrase can be rotated unlimited times without changing any addresses and without migrating assets. - One mnemonic supports essentially all chains at cryptographic level. - The algorithm is pluggable, allowing smooth PQC upgrades in the future while keeping the same mnemonic and the same addresses. - it supports UNICODE (Chinese / Japanese / Korean / Arabic / Emoji) as passphrases. Why these properties are possible? Under the hood, MSCIKDF was designed around: - Single-root → multi-context isolation (each chain, wallet, device, agent, or application gets a mathematically isolated stream). - Zero-persistence secret handling (the derived seed is never kept in long-term memory or disk). - Rotatable passphrase sealing, allowing unlimited secret rotation with stable public identities. - Curve-agnostic, multi-algorithm derivation, supporting both signatures and encryption (Ed25519, X25519, Secp256k1, sr25519, ECDSA, etc.). - PQC compatibility, meaning post-quantum KDF modules can be plugged in without breaking identities or requiring wallet migrations. In short: MSCIKDF turns mnemonics from “bare private keys” into cryptographically protected, renewable, multi-curve cryptographic identity roots.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
93%93% 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: agent, apps, new · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

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