Insure Network is a decentralized Insurance platform powered by blockchain technology, connecting billions of citizens of Earth.
The INR token is an Ethereum-based (ERC20) cryptocurrency. It will be the medium of exchange value within the platform.
全名 | Insure Network (INR) |
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开始日期 | N/A |
算法 | ETH Token |
证明类型 | N/A |
网站 | https://www.insurenetwork.io |
@Insure_Network | |
N/A | |
N/A | |
块号 | N/A |
阻止时间 | N/A |
阻止奖励 | N/A |
开采的总硬币 | N/A |
以前的总硬币开采 | N/A |
每秒净哈希值 | N/A |
Insure Network is a decentralized Insurance platform powered by blockchain technology, connecting billions of citizens of Earth.
The INR token is an Ethereum-based (ERC20) cryptocurrency. It will be the medium of exchange value within the platform.
Team:
Insure Network ICO will begin on June 1, 2019. The ICO token supply represents 49.9% of the total token supply, so there is a total of 499,000,000 INR tokens available, for 0.10 USD each. The ICO funding cap is 47,900,000 USD and is expected to end on June 30, 2019, or when the funding cap is reached.
Token Reserve Split (50.1%):
Insure Network ICO features the following bonus structure.
Bonus Structure:
PRIVATE STAGE
Fundraising goal: 1.000.000USD
Bonus applied at Private investment stage: 100% Token price: $0.1/INR
Number of INR offered at PRIVATE Stage:
[1.000.000USD/(0.1USD/INR)]x(200%/100%) = 20.000.000INR 50% INRs offered to private stage investors are prone to vesting period.
PUBLIC STAGE
Fundraising goal: 47.900.000USD
Bonus applied at Public investment stage: 0% Token price: $0.1/INR
Number of INR offered at PUBLIC Stage:
[47.900.000USD/(0.1USD/INR)] = 479.000.000INR
All INRs offered to public stage investors are not prone to vesting period.
ICO 状态 | Upcoming |
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令牌供应 | 1000000000 |
开始日期 | 2019-06-01 |
结束日期 | 2019-06-30 |
募集资金 (BTC) | N/A |
募集资金 (USD) | N/A |
开始价格 (USD) | 0.10 |
安全审计公司 | N/A |
ICO法律表格 | Corporation |
ICO管辖权 | Republic of Korea |
法律顾问 | N/A |
博客 | https://medium.com/@insurenetwork |
白皮书 | https://www.dropbox.com/s/uk79mgsuw33oayr/Insure%20Network%20Whitepaper%20version0.4.pdf?dl=0 |