Nicheloom

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Crypto-Wallet-Recovery

Python-based cryptocurrency wallet forensics suite supporting 40+ wallet types on Windows, Linux, and macOS. Features encrypted vault analysis, wallet detection, seed recovery, multi-chain address derivation, threaded processing, and TXT/CSV/JSON export. Designed for security research, compliance, incident response, and blockchain investigations.

Details

External ID
1370324497
Source
GITHUB
Company
—
Product
Crypto-Wallet-Recovery
Website domain
github.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
30
Upvotes percentile
0.7248911094030234
Tags
bip39-recovery, bip39-wallet, bip44-recovery, bitcoin-address-recovery, btc-recovery, crypto-fund-recovery, crypto-wallet-recover, lost-bitcoin-wallet, lost-bitcoins-wallet, lost-cryptocurrency-recovery, lost-wallet-recovery
Fetched at
Sept. 15, 2026, 1:02 a.m.
Updated at
Sept. 15, 2026, 1:02 a.m.

Enrichment

Theme
cryptocurrency utilities and wallet tools
Vertical
Security
Function
Analytics & BI
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
cryptocurrency wallet forensics suite for security investigators
Manually corrected
False

Could you build this?

Partial Scripting forensic parsing of common wallet files and BIP39/BIP44 key derivation across chains is doable with Python libraries, but reverse-engineering and decrypting 40+ distinct, proprietary, or obfuscated wallet vault formats requires deep cryptographic and binary forensic expertise.

What it would actually take: A full suite requires writing custom parsers for 40+ specific wallet storage formats (LevelDB, SQLite, proprietary encrypted blobs like MetaMask vault, Core wallet.dat, hardware bridge caches). The hard part is accurately replicating extraction routines, key derivation functions (scrypt, argon2, PBKDF2 parameters), and recovery permutations across legacy and modern formats. It requires dedicated blockchain forensics and reverse-engineering experience rather than just generic LLM prompting.

Competitors

Other products that read as similar to this one — 172 launches clear the similarity bar, closest 8 shown.

Attention rank: #57 of 173 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.