Ethereum
My first CasinoFair experience
8 hours ago
FunFair FUN
0 following
FunFair is a decentralised gaming platform powered by Ethereum smart contracts. Thanks to our breakthrough technology, it is the first platform to solve the big challenges that have made other blockchain casinos unplayable.
- Project TypeToken
- Platform
Ethereum
- SymbolFUN
- Circulating Supply6,024,937,089
- Total Supply10,999,873,621
- Max SupplyNone specified
- Primary SectorNone specified
- JurisdictionNone specified
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Team
Jez San OBE
Founder, CEO
Jeremy Longley
Co-Founder, CTO
Laurence McDonald
Senior Artist / Producer
Paul Jackman
Senior Games Programmer and Designer
Rob Palmer-Hole
Project Manager
Cécile Baird
PR, Comms & Marketing
Dan Grant
PR, Comms & Marketing
Developers
Oliver Hopton
Co-founder, Developer
Dane Wiid
Developer
Distribution
| Token Presale Contributors | 0 FUN | 60.00% |
| FunFair Team | 0 FUN | 37.50% |
| Advisors | 0 FUN | 2.50% |
Milestones
| Jun 2017 | Demo Released |
| Q3 2017 | Fate Channels V2 & V3 | Multi-state games | Game Release: Roulette MVP |
| Q4 2017 | ALPHA RELEASE: Peer to peer platform Testing of Alpha | Blackjack, Baccarat and Roulette production ready | Game Release: Craps and Video Poker MVP |
| Nov 2017 | Platform demo at Devon3 |
| Q1 2018 | OFFICIAL PUBLIC RELEASE | Game release: Progressive Slot MVP |
Questions and Answers
| None specified |
8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
93%
Profile Quality
TrustScore™ is a Token Project scoring algorithm immune to
manipulation.
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low
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