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Qbao QBT

$0.015007 USD -4.59%
Qbao has a TrustScore of E
0 following
The Qbao is a Qtum based social network. The vision of Qbao is to become a social network as WeChat which has a complete ecology.
  • Project TypeToken
  • Platform Qtum
  • SymbolQBT
  • Circulating Supply65,351,403
  • Total Supply100,000,000
  • Max SupplyNone specified
  • Primary SectorSocial Network
  • JurisdictionNone specified
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Team

Chen LIN photo

Chen LIN

Co-Founder

10+ years experience of IT industry. The early explorer and evangelist of China blockchain industry

Sun Ruoyu photo

Sun Ruoyu

Co-Founder

He Pengfei photo

He Pengfei

Co-Founder

Advisors

Patrick Dai photo

Patrick Dai

Advisor (Founder of Qtum)

Tang Ling photo

Tang Ling

Advisor (Co-founder of Ink Labs)

Thomas Olson photo

Thomas Olson

Advisor (Founder of Vevue)

Lin Xiahong photo

Lin Xiahong

Advisor (Founder of Bodhi)

Dr. Allen Wookyun Kho photo

Dr. Allen Wookyun Kho

Advisor (Founder of Medibloc)

Qu Lei photo

Qu Lei

Advisor (Founder of Energo Labs)

Chen Xiaoliang photo

Chen Xiaoliang

Advisor (COO of Loopring)

Wang Dapao photo

Wang Dapao

Advisor (Founder of Future Digital Currency)

Zheng Zuo photo

Zheng Zuo

Advisor (Operation & Execution Of Space Chain)

Distribution

PreICO & ICO51,000,000 QBT51.00%
Team20,000,000 QBT20.00%
Early Investor12,000,000 QBT12.00%
Marketing12,000,000 QBT12.00%
Vulnerability Rewards5,000,000 QBT5.00%

Milestones

None specified

Questions and Answers

None specified
Qbao has a TrustScore of E
  • Team Members Verified Badge 8 of 27 Team Members Verified
  • Company Verified Company Verified
  • KYC Interview Conducted 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
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