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REPO COIN REPO

REPO COIN has a TrustScore of D
0 following
Repo Blockchain to partner with leaders in the auto finance industry to enhance the auto repossession process while rewarding users for their participation with Repo Tokens. Scan license plates and receive reward tokens for identifying tagged vehicles.
  • Project TypeToken
  • Platform Stellar Lumens
  • SymbolREPO
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply357,000,000
  • Primary SectorFinance
  • JurisdictionNone specified
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Team

Fahim Aref photo

Fahim Aref

Co-Founder

Fahim is a Blockchain enthusiast and is currently focused on next generation Blockchain-based Applications, and Cryptocurrencies. He has over 20 years of experience in Real Estate, Oil & Gas and Consumer Electronic markets. $50MM+ in combined Transactions (Hydrocarbon Minerals). Co-Founder of Scan Halal (#1 Halal App). He also serves as the executive director of Pious Projects, a non-profit organization based in Chicago.

Distribution

None specified

Milestones

None specified

Questions and Answers

None specified
To invest in a token offering, visit the project's website (link in the overview tab)

Live token offerings

No live token offerings

Upcoming token offerings

No upcoming token offerings

Past token offerings

Name Started Ended
My Company ICO Free Tokens01 Apr 201830 Apr 2018
REPO COIN has a TrustScore of D
  • Team Members Verified Badge 8 of 27 Team Members Verified
  • Company Verified Company Verified
  • KYC Interview Conducted KYC Interview Conducted
93%
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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 <- this project
E = Low
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