CopiCo

CopiCo

TBA
21,009 Views
Copico is a POS/Masternode coin which is privacy focused crypto currency with lightening fast secured transactions. Our platform aimed at acquiring, adopting and accomplishing discontinued altcoins to create a healthy ecosystem….
4.5
TOTAL SCORE
4.2
ICO PROFILE

(weight: 45%)

1
TEAM PROOF

(weight: 20%)

Get widget
General
Website: Visit
White paper: Read
Dates: TBA
Token info
Ticker: XCPO
Available for sale: 98,000,000 XCPO (50%)
Total supply: 22,940,540 XCPO
Financial
ICO Price: 1 XCPO = 0.065 USD
2017 Q3
Branding and major exchanges listing. TOR integration. TOR Wallets. U2F integration. Automated payment acceptance mechanism. Trust contracts. Prediction market.<br />
2017 Q4
Hiring Experienced Personnel. Development of Copico Exchange and Games begins. Open up Coin Services. Further Developments to Coipco coin. Initial marketing campaign.
2018 Q1
First altcoin adaptation. Launch of CopiCo Exchange. Extensive marketing campaign. Complete at least two sidelined altcoin roadmaps.<br />
Screenshots taken on 6 Feb 2018
Vinodh
Blockchain Developer
Participates in a number of projects
Avinash
CTO
Participates in a number of projects
VSK Chaitanya
CEO & Founder
Participates in a number of projects

Advisors (0)

HEIGHT - 0px
WIDTH - 0px
PUT THIS CODE TO YOUR WEBSITE
ICO List
Other Interesting ICOs
Active
Rivalz
Rivalz is redefining AI infrastructure by creating an AI Intel Layer to unlock new agentic economies. Built on a dual-chain DePIN architecture using Dymension and Arbitrum, Rivalz addresses one of the biggest bottlenecks in AI today: access to AI-ready, verifiable, and secure data. As we envision the web3 space to become agentic and overtake humans in the amount of transactions over time, what Rivalz is building is key for enabling this future. The core challenge that Rivalz is addressing is the need for AI-ready, verifiable and accessible data and later on intelligence. Rivalz offers a hybrid solution combining decentralized storage and high-speed agent-centric connectivity networks that cater specifically to AI's demands, ushering in the era of the agentic economy.
Upcoming
Squeezer
Squeezer is a platform that helps software developers build apps easily without tackling the entire blockchain infrastructure. It is also a powerful tool for providing high-quality blockchain software components to large enterprise organizations. Squeezer uses world-class microservices platforms, such as AWS Lambda, Google Functions, and Azure Functions.
Upcoming
DATA
DATA is a blockchain project initiated and governed by Blockchain Data Foundation Limited ("Blockchain Data Foundation", or BDF from hereafter), a company limited by guarantee to be incorporated in Singapore and governed in a not-for-profit manner. This project is being developed in collaboration with Yomob International Co., Ltd. ("Yomob"), a mobile monetization-as-a-service company.
Upcoming
ORCA Alliance
Control your money, savings and crypto assets from one application. Benefit from simple and intuitive user interface to manage your cash flows. ORCA Platform merges a variety of financial service providers. Access payment cards, lending services, make instant transactions to crypto wallets, exchanges and bank accounts.
Upcoming
Crypto Potential
Crypto badges. Simple. Rewarding. Transparent. Incentivizing achievements through dedicated crypto badges. Blockchain projects are evaluated and tested for specific parameters and awarded with badges according to their achievements and contribution. The badges stand for credibility and transparency and serve to incentivize qualified projects with QCP token. The Crypto-Potential community will have access to a selection of projects with verified information and their achievements. The mission is to empower projects to achieve more. The vision is to create a more transparent crypto space.
Upcoming
GoRecruit
GoRecruit is an AI recruitment system based on blockchain technology, which offers a new way of evaluating job applicants. The AI system, being a convenient online service, enables making HR decisions based on the analysis of data from social networks and publicly available sources. To select applicants for an interview, one does not need to spend several hours for processing and analyzing the data: one will acquire the detailed information with recommendations immediately after the authorization of a candidate in the GoRecruit system. This approach will make access to vacancies more open, eliminate human error in hiring, as well as reduce the cost of HR service by optimizing routine work.