Foreground DEAL Token DEAL
- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply675,675
- Primary SectorCommerce & Advertising
- JurisdictionNone specified
Rick Feiner has over a decade of experience
leading large enterprise software development projects.
He is passionate about exploring practical, authentic uses
of blockchain technology. Rick founded Foreground because
he wants online marketing to be simpler and more effective.
Shane van Coller has over 8 years
experience building and architecting enterprise web applications.
His interest in the Blockchain technology, specifically
the Ethereum platform, lies in its ability to provide an immutable,
trustless and transparent alternative to traditional
database backed web applications.
Sergey Ilin has over 10 years of experience
building enterprise software. Sergey believes that
blockchain technology has huge potential to change our lives
for the better. He joined Foreground because it is a great
application of the technology that elegantly solves many
problems in online advertising.
Michael Grandy has spent the majority of his career
working in advertising and providing creative direction
for clients ranging from GE to United Airlines. Upon discovering
cryptocurrency via Satoshi Nakamoto’s white paper, he
found himself captivated by blockchain technology. He has
since then been an active participant in the cryptocurrency
Scott Nelson has several years of experience as an investment professional and trader at Morgan Stanley in New York and San Francisco. After leaving Wall Street, he spent some time in Latin America exploring entrepreneurial ventures and joined Foreground this summer to lead the company’s Business Development efforts.
Questions and Answers
Live token offeringsNo live token offerings
Upcoming token offeringsNo upcoming token offerings
Past token offerings
|Foreground ICO||28 Nov 2017||19 Dec 2017|
- 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