- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply10,000,000
- Primary SectorFinance
- JurisdictionUnited States
B.S. in Mathematics and Economics from Wesleyan University, Sukhbat held various positions on Wall Street working as a trader and an economic consultant. Later he joined a leading big data analytics startup DAS42 that has consulted clients such as Uber, Amazon and Snapchat.
Previous careers include management at an iOS Technical support call center, and working as an executive assistant doing data entry for a doctor. Charles has a deep passion for customer service and crypto-currency. Being an early adopter and supporter of our app, he looks forward to providing the best customer support possible to Coinseed users.
Mike is a corporate finance analyst with exposure to Bitcoin and Blockchain derivatives. His experience includes working as a research analyst with ING Barings and teaching at NYU. Mike has advanced degrees in finance from Baruch College, New York and SOAS, London and is a Chartered Financial Analyst.
B.A. in Economics from University of Tokyo, M.S. and Ph.D. in Economics from Caltech, Gerelt is an assistant professor of economics at Virginia Tech.
|ICO Pre-Sale||1,500,000 CSD||15.00%|
Questions and Answers
Live token offeringsNo live token offerings
Upcoming token offeringsNo upcoming token offerings
Past token offerings
|Coinseed ICO||20 Mar 2018||20 May 2018|
|Coinseed||20 Mar 2018||20 May 2018|
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Detailed due diligence exclusive to subscribers
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