RAILGUN

RAILGUN

Created using Figma
RAILGUN is a smart contract for professional traders and DeFi users that adds privacy protection to cryptocurrency transactions.When using the RAILGUN Privacy System, wallet addresses are removed from transactions on open-ledger blockchains. Without RAILGUN, wallet addresses are revealed and recorded on the blockchain. If a wallet address has been recorded in a transaction, anyone can then check that wallet’s history using tools like Etherscan. This is similar to a person having their bank balance and spending history revealed whenever they use a debit card. RAILGUN is the solution to this problem.
  • Pasar
    Pasangan
    Harga
    Volume 24H
    24 jam (harga)
    24 jam (volume)
  • BKEX
    RAIL/USDT % hitung% bulan lalu
    $ 0.5594
    $ 72.403 K
    -
    -
  • Bilaxy
    RAIL/ETH satu tahun lalu
    $ 0.4730
    $ 20.981 K
    -
    -
  • CoinEx
    RAIL/USDT satu tahun lalu
    $ 0.5757
    $ 7.276 K
    -11.77%
    3.78%
  • Bancor Network
    RAIL/BNT satu tahun lalu
    $ 1.63
    $ 606.91
    -7.91%
    -91.43%
  • Sushiswap
    RAIL/0XEB4C2781E4EBA804CE9A9803C67D0893436BB27D satu tahun lalu
    $ 1.62
    $ 1.61 K
    -5.26%
    -
  • Uniswap (v3)
    RAIL/0XEB4C2781E4EBA804CE9A9803C67D0893436BB27D % count% satu tahun yang lalu
    $ 1.24
    $ 3.114 K
    -
    -
To be announced
Detail Token
Total pasokan
57,500,000
detil tambahan
Kategori
Peron

Tentang RAILGUN

RAILGUN is a collection of smart contracts that verify zero-knowledge proofs, allowing users to make, send or receive transactions without revealing any assets, amounts, or identities. In much the same way, it also allows users to interact with smart contracts, such as those used for DEX trading, yield farming and other dApps (decentralised Apps). Layered on top of this on-chain system is a suite of adapters called Adapt Modules for existing applications on Ethereum that anyone can deploy. Such a system has two fundamental advantages:

1. Firstly, it increases the size and noise of the anonymity pool. All transferring, swapping, lending, borrowing, and in general, transacting with all kinds of decentralised applications greatly increases the throughput and variation of interactions with RAILGUN, making it progressively more difficult to correlate withdrawals from RAILGUN to deposits into RAILGUN. This means the users who have deposited into RAILGUN are able to achieve privacy and anonymity faster than any of the other systems available on-chain.

2. Secondly, it allows users to keep their assets in their original form, without converting to a different token, within the RAILGUN system longer term. True privacy and anonymity is achieved when assets can not only
be privately transacted but also privately stored. With assets in RAILGUN, users can still do everything they can do with assets outside of RAILGUN, reducing the incentive to ever move these assets out. This helps to increasing the size and noise of the anonymity pool, offering a much better level of privacy and anonymity.

By creating an ecosystem where privacy, anonymity, transfers, trades, and any other activity all happen in one place, all participants benefit from an increasingly large and noisy anonymity pool. All users of the system are able to piggyback off the activity of others, increasing their own privacy and anonymity.

RAILGUN Tim

Diverifikasi 0%

Perhatian. Ada risiko bahwa anggota yang tidak diverifikasi sebenarnya bukan anggota tim

Edward P. Fricker, E...
tidak diverifikasi
Dr. Thomas Bryden Ph...
Researcher
tidak diverifikasi
Joey Nishad
Research and Development Scientist
tidak diverifikasi
Hisham Galal
Scientist / Cryptographer
tidak diverifikasi
Kieran Mesquita
Chief Scientist
tidak diverifikasi
Dr. Andrey Kravchenk...
Project Manager
tidak diverifikasi
Emmanuel Goldstein
Founder & Development Leader
tidak diverifikasi

Penasihat

Diverifikasi 0%

Perhatian. Ada risiko bahwa anggota yang tidak diverifikasi sebenarnya bukan anggota tim

Phil Huang
tidak diverifikasi
Alyssa G.
tidak diverifikasi
Dr. Geoff Goodell Ph...
tidak diverifikasi

RAILGUN Berita terakhir

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