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Crypto Tickets TKT

Crypto Tickets has a TrustScore of E
0 following
Crypto Tickets Is a new standard in the industry of entertainment: distribution of tickets with an automatic billing, minimal costs, without fakes, with clear rules of the game. The main task of the project is to create a blockchain platform which can be used by the world’s ticket industry to solve the main market’s problems, such as fake tickets and an unmanageable secondary market.
  • Project TypeToken
  • Platform Ethereum
  • SymbolTKT
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply914,869,281
  • Primary SectorEvents & Entertainment
  • JurisdictionNone specified
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Egor Egerev photo

Egor Egerev

CEO, Founder, Product Manager

Ilya Sergeenko photo

Ilya Sergeenko

Co-Founder & Investment Director

Katerina Kirillova photo

Katerina Kirillova

Co-Founder, Strategy & Business Development, Executive MBA


Andrew Zimine photo

Andrew Zimine

Advisor (Founder and CEO #Exscudo, EON, Consultant #fintech)

Anton Akentiev photo

Anton Akentiev

Advisor (Blockchain Enthusiast,

Leonard Grayver photo

Leonard Grayver

Advisor (Venture Capital and Startup Lawyer Greenberg Whitcomben Takeuchi Gibson & Grayver LLP)

Julian Zegelman photo

Julian Zegelman

Advisor (Corporate lawyer, Partner in Velton Zegelman PC.)


Public Token Sale0 TKT68.90%
Ticketscloud0 TKT15.00%
Private Offer0 TKT7.60%
Advisors0 TKT3.50%
Growth Fund0 TKT3.00%
Bounty0 TKT2.00%


None specified

Questions and Answers

None specified
Crypto Tickets 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
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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