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MILE token has a TrustScore of D
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SnagRide is America's first long-distance ridesharing community that combines artificial intelligence with blockchain technology through Smart Contracts.
  • Project TypeBlockchain
  • AlgorithmNone specified
  • SymbolMILE
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply100,000,000
  • Primary SectorTravel & Tourism
  • JurisdictionNone specified
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Terry Chan photo

Terry Chan


Bachelor degree in math and computer science at University of California, San Diego. In web and e-commerce industry for 10 years. Worked in data mining, analytics, software quality assurance, and software automation pioneer of which grew from 20 people to 200 people.

Jonathan Hollinger photo

Jonathan Hollinger

Head of Engineering

Bachelor degree in computer science from Millersville University in Pennsylvania and 11 years of industry experience in software engineering and architecture. Jon has worked in a wide variety of technologies and platforms ranging from Java to .NET with expertise leading the development of web-based software applications.

John Evangelista photo

John Evangelista

Product Design

Over the last several years, John gained a strong level of experience developing research-based principles to drive the design of products with a focus on fully supporting end-user needs, and consistently achieving the business vision. His keen eye for design is a major asset when creating design proposal boards featuring color palates, materials, trends and item direction for future lines of products.


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Live token offerings

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Past token offerings

Name Started Ended
SnagRide CrowdSale10 Jan 201814 Mar 2018
MILE token 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
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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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