FansUnite Protocol -ICO Details

Overview
0
StatusInactive
HeadlineThe FansUnite Protocol facilitates decentralized betting of any ERC20 based token and allows for sec
CategoryGambling & Betting
Starting date07/15/2018
Ending date08/15/2018
WebsiteView Website
WhitepaperView Whitepaper
Links
Project Info

We introduce a protocol for sports wagering of any ERC20 token using the Ethereum blockchain and InterPlanetary File System (IPFS). The resolution of wagers and the provision of event data is crowd-sourced by a decentralized network of
oracles incentivised to provide low-latency and accurate sports data. The FansUnite Protocol will serve as the building blocks for decentralized applications (DApps) that span traditional bookmaking, betting exchanges, and a variety of other services reliant on sports data. These DApps will be free to charge fees, utilize their own tokens for betting, and be able to set market prices based on full market information transparently available on the blockchain. The FansUnite protocol will provide the infrastructure to allow for parties to engage in sports wagering in a completely trustless and distributed fashion without the need for traditional intermediaries.

The FansUnite Protocol will consist of a public library of smart contracts, standardized data structures for team and event information, and a token economy designed to incentivize the provisioning of fast and accurate sports data by a decentralized network of oracles.

ICO Details
Softcap6,000,000(USD)
Hardcap12,000,000(USD)
USA accepted
Currency AcceptedETH,USD
Coin SymbolFAN
Total Coins1,000,000,000
Coins for Sale500,000,000
Private-Sale/Pre-Mined Coins500,000,000
Coins Sold0%
Coin Price0.05 USD
Softcap Reached
Confirmed Exchange
Unsold Coins Goes to Burn
Stage Details
Start date07/15/2018
End date08/15/2018
Token for sale500,000,000
Token Price0.05 USD
Team Info
Core Team

Darius Eghdami

CEO

Duncan McIntyre

COO

Graeme Moore

CFO

Ryan Cimoszko

Technical Lead

Jonathan Ingoldby

Full Stack Developer

Stephen Rothwell

Senior Software Engineer

Mirko Miorelli

Machine Learning Engineer

Advisory Team

Shafin Tejani

Peter Smyrniotis

Gary Boddington

Ron Segev

Mike Stephens

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