코코넛 월렛 학습‪용‬ 4+

비트코인 셀프 커스터디를 위한 필수 교육용 앱입니다‪.‬

Nonce Lab Inc.

Designed for iPhone

    • Free

iPhone Screenshots

Description

Discover the Mobile App for Bitcoin Self-Custody Education!

Coconut Wallet is a mobile app designed to securely store Bitcoin private keys and teach users how to use a Bitcoin wallet.

Key Features:
• Receive and View Test Bitcoin Balances: Coconut Wallet lets you receive test bitcoins, which have no real-world value and are for practice purposes only. You can freely use them to practice sending bitcoin and to understand the transaction process. (Real bitcoins are not supported)

• Send Test Bitcoins via Air-Gapped Transactions: Coconut Wallet works with the Coconut Vault app to provide a safe environment for practicing Bitcoin transactions. Coconut Vault is a cold wallet that operates only when network and Bluetooth connections are disabled. It securely stores sensitive information such as private keys, while Coconut Wallet allows you to add watch-only wallets from the vault to practice sending bitcoin through an air-gapped setup.

• Supports Third-Party Hardware Wallets: Add watch-only wallets from Keystone and SeedSigner, and send bitcoins using them.

• Add Watch-Only Wallets via Extended Public Keys or Descriptors: Easily import watch-only wallets and send bitcoins.

Even first-time Bitcoin wallet users can follow along easily thanks to a detailed tutorial. The app guides you step-by-step from learning the basic concepts needed for self-custody to understanding how to send transactions.
https://noncelab.gitbook.io/coconut.onl

What’s New

Version 3.2.0

1. Support for connecting to Electrum servers via VPN
2. New Home and Send screens
3. Added QR scan progress UI
4. Coldcard support

App Privacy

The developer, Nonce Lab Inc., indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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