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Mother Of All Tokens MOAT

Mother Of All Tokens has a TrustScore of E
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We built the safest ICO fundraising platform that allows backers and project creators both benefit the most from the crypto-revolution, with the help of any user – ‘The Wisdom of the Crowd’. We advise projects in best ICO practice.
  • Project TypeToken
  • Platform Ethereum
  • SymbolMOAT
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply10,000,000,000
  • Primary SectorTrading & Investing
  • JurisdictionNetherlands
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Nawid Habib photo

Nawid Habib

Founder & CEO

Habib is the founder and brain behind the ICO HeadStart platform. He is an intelligent young driven entrepreneur who owns several businesses. He studied Pharmacy at the University of Utrecht and became student of the year in 2010, but soon after he followed his dream to become a successful entrepreneur. As a serial entrepreneur, he owns several businesses within diverse fields, ranging from healthcare to blockchain and software.


MOAT reserve for future backers and successfully funded projects4,675,000,000 MOAT46.75%
Reserved for Founders, Operational Team and Advisory Board3,300,000,000 MOAT33.00%
ICO1,250,000,000 MOAT12.50%
Seed Investors300,000,000 MOAT3.00%
Pre-ICO250,000,000 MOAT2.50%
Bounty Program225,000,000 MOAT2.25%


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Questions and Answers

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Mother Of All Tokens 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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