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APPICS has a TrustScore of E
0 following
APPICS is a next generation, reward-based social media application that runs on top of the STEEM blockchain and enables people from around the globe to connect allowing all participants to benefit. We turn Likes into Currency!
  • Project TypeToken
  • Platform
  • SymbolXAP
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply240,000,000
  • Primary SectorSocial Network
  • JurisdictionNone specified
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Tony Winchester photo

Tony Winchester

Founder & CEO

Tony is a multi-talented Entrepreneur, Investor, Programmer, Executive of WeCare4U, Writer and Dancer/Artist. He is best known for being the early Bitcoin Miner and Trader, turned Millionaire Mentor.

Uma Hagenguth photo

Uma Hagenguth

Founder & COO

Uma is an online entrepreneur, helping businesses successfully transition to digital. She co-founded a global digital marketing agency, is a crypto-trader, blogger, philanthropist, and skilled at simplifying complex concepts.

Sandro Ieva photo

Sandro Ieva

Founder & Chief Brand Officer

Sandro has worked for several blockchain companies from around the world. He is skilled with visual concepts and design. An expert at creating motion graphics, interfaces, websites.

Christian Heusinger photo

Christian Heusinger


Award-winning iOS developer, reverse engineering specialist and entrepreneur. Built countless of outstanding apps and helped to launch several startups.


Jürgen Simon photo

Jürgen Simon

Lead Developer Backend

Jürgen is a Senior Fullstack Developer with an impressive 20 years of experience in software-development and -architecture. Originally he studied physics in Germany, is currently based in Portugal and has been building remote teams for 10 years.


ICO120,000,000 XAP50.00%


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Questions and Answers

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APPICS 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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