$4.998E-5 +5.31%
Glob. Mkt Cap Rank: Unranked
2024-08-07:09:36:23update
24H High
:
0.00038234
24H Turnover
:
12.85千万
Max Supply
:
0.0
24H TR
:
14.24%
24H Low
:
0.00036306
24H Vol
:
353314125
Curr. Issued
:
2480850000.0
24H High-Low
:
+5.31%
ATH
:
0.15
Highest Mkt Cap
:
90.21千万
Circulating Supply
:
2480850000.0
Dominance
:
--
ATL
:
0.00
Mkt Cap (Float)
:
90.21千万
Circulating Supply
:
16.65%
Issue Date
:
2019-07-29
Introduction
Latest News
News Flash
Basic information
Full Currency Name /GMAT
Currency Code GMAT
Coin Intro "

GMAT is the crypto token of GoWithMi, a distributed smart map ecosystem public chain. Its full name is GoWithMi, also known as "High-Dimensional Earth." It was launched on July 29, 2019, with a total supply of 14,900,000,000 GMAT.

GoWithMi (High-Dimensional Earth) aims to build a distributed map network that benefits everyone and supports multiple chains. Targeting the existing location service infrastructure dominated by Google, which suffers from centralized monopoly, slow updates, poor privacy protection, and lack of profit sharing, GoWithMi collaborates with global users to build a decentralized location service infrastructure that is digitally twinned, real-time, trustworthy, and mutually beneficial. This infrastructure serves high-frequency, essential location services in industries like the sharing economy, O2O, and autonomous driving, leading the world into the era of distributed commerce.

GMAT initially exists as an Ethereum ERC-20 smart contract token. After the GoWithMi underlying mainnet is launched, it will be exchanged 1:1 for the GoWithMi native crypto token. GMAT can be used for geographic data contribution labeling, trading, settlement, and smart contract fulfillment on the chain. GMAT can conveniently represent and measure the digital economic activities on the GoWithMi network ecosystem. As various service systems within the GoWithMi network increase and distributed business scenarios are increasingly embedded, GMAT liquidity will increase significantly.

Simultaneously, GMAT is also a tool for value measurement, storage, and incentives for GoWithMi. It is a universal credential driving the development of the map ecosystem. All services on the platform are settled and paid for using GMAT, which is also circulated and distributed externally. GMAT holders have community voting and governance rights corresponding to their token holdings. The total supply of GMAT is pegged to the habitable area of the Earth's surface, enabling 100 GMAT to represent the total sum of geographic spatial data economics corresponding to 1 square kilometer suitable for human habitation.

GMAT Founding Team and Background: The co-founder and CTO of the team is Mr. Ren Yi, one of the pioneers of map navigation engines in China. He is a top technical expert in the global location service field, possessing complete front-end, back-end, and map engine autonomous development capabilities. With 15 years of experience in developing full-fledged map products from commercial to personal ends, his continuous industry focus and keen technical sense have enabled him to accumulate extensive experience in map navigation core algorithm research and development and internet product development management. He is one of the few technical algorithm experts in the location service field with the ability to build products with over 10 million daily active users from scratch.

The current price of GMAT is $0.000050909, with a 24-hour trading volume of $18065.3. GMAT has increased by 0.42% in the past 24 hours. Currently, it ranks 780th on the Bee Token market cap ranking, with a market capitalization of [not provided]. Its circulating supply is 272.355 million GMAT, and its total supply is 14.9 billion GMAT.

"
Issue Date 1558357200000
All-Time High $0.02139245
All-Time Low $0.000041339765
Total Supply 14900000000
Circulating Supply 2723550000
Circulating Supply Percentage 0.18278859060402686
Market Cap NaN
Fully Diluted Market Cap $3.416717986577181e-15
Mkt Cap (Float) $
Circulating Market Cap % of Global Total
Listed on Exchanges 1
Official Link http://gowithmi.com/index_zh.html
Whitepaper https://www.gowithmi.com/whitepaper/index.html
Blockchain Explorer "https://etherscan.io/token/0xa110eeebc0751407bdcaea4cd230f04a2b82a33a", "https://ethplorer.io/address/0xa110eeebc0751407bdcaea4cd230f04a2b82a33a"
Telegram "https://t.me/GoWithMi"
Github https://github.com/GoWithMi/token-profile
Twitter https://twitter.com/GoWithMi_GL
FaceBook https://www.facebook.com/gowithmi
Reddit
Currency Introduction

GoWithMi (High Dimensional Earth) aims to build a distributed map network that benefits everyone and supports multiple chains. Addressing the drawbacks of existing location service infrastructure, such as Google, which suffers from centralized monopoly, slow updates, poor privacy protection, and lack of profit sharing, GoWithMi collaborates with global users to build a decentralized location service infrastructure that is digital twin, real-time, trustworthy, and mutually beneficial, serving high-frequency and essential industries like the sharing economy, O2O, and autonomous driving. This will lead the world into the distributed commercial era.

GMAT is GoWithMi's value measurement, storage, and incentive tool, as well as a universal credential for driving map ecosystem development. All services on the platform are paid and settled using GMAT, which is circulated and issued externally. GMAT holders have community voting governance rights proportional to their coin amount.

Project Mission

GoWithMi strives to build a global human-machine collaborative network, reshape the map ecosystem, and become a global decentralized location service infrastructure through blockchain, AI, and GIS technology. It also acts as a decentralized map component for all public chains, assisting the blockchain industry in empowering large-scale application scenarios that are heavily reliant on maps, such as travel, tourism, accommodation, e-commerce, advertising, games, location intelligence, and autonomous driving.

Project Vision

Map services, as fundamental infrastructure for the internet, should be designed and managed as public goods. GoWithMi's main chain Gaia will bridge the gap between capital and technology globally. It will empower people in emerging markets to build map networks using idle computers or even smartphones without purchasing expensive servers. People can spontaneously update and enhance map services based on their needs without relying on international corporations for data collection. It will provide a secure map dAPI for blockchain and internet developers worldwide, safeguarding privacy and preventing forced price hikes or shutdowns. It will offer a low-cost, high-quality, and uninterrupted map base service for all businesses that require maps, including travel, tourism, accommodation, and e-commerce.

Project Highlights

GoWithMi platform aims to establish a trustworthy and fully transparent decentralized foundation for the sharing economy for all humanity. By leveraging various resources more effectively, GoWithMi enables decentralized value generation, decentralized supervision, and decentralized distribution. This promotes broader fairness in all economic production activities, from base map data collection to top-level sharing economy. It fosters respect for people's personalities and rights, contributes to creating more eco-friendly and livable cities, and makes life more convenient and comfortable, satisfying the needs of 7 billion people on Earth to enjoy life. Through the improvement of map infrastructure, GoWithMi encourages the establishment of a more livable city framework that adapts to life and travel, mitigating the negative impact of global warming and building a harmonious and habitable Earth home for current and future generations.

It's important to emphasize that these are not just visions. GoWithMi products were launched in Indonesia, the world's fourth most populous country, in October 2017. Starting from Jakarta, the heart of the "21st Century Maritime Silk Road" initiative, GoWithMi aims to serve countries along this route and expand its global ecosystem. We invite all those who share our vision to join us in creating unprecedented miracles and make decentralized sharing a great leap forward in human evolution!

Application Scenarios

  1. Map and Traffic Service
    For GoWithMi's target countries in Asia, Africa, and Latin America, there are widespread problems of population expansion and weak infrastructure development. Jakarta, where the GoWithMi project began, sees residents spending an average of 16 days per year on traffic. This presents a huge opportunity for map-based travel services, especially those focused on traffic information.
    Improving travel infrastructure data through decentralized collaborative production and utilizing the resulting data to serve users with a strong need for such information can create a self-sustaining ecosystem. Focusing on high-frequency travel needs will make map and traffic services a potential gateway for other applications.

  2. Car Sharing
    High-quality ride-hailing services fundamentally strive to optimize two aspects: control of transport capacity and matching of capacity with ride requests.

  • Control of Transport Capacity:
    Having sufficient transport capacity is essential. This requires attracting as many private car drivers as possible to the platform, while simultaneously filtering for high-credit and high-quality providers. GoWithMi serves all those with travel needs, including a significant number of private car drivers. These drivers continuously use the service and contribute data. A driver who consistently contributes data, optimizes travel services to help others, and is willing to be a ride-hailing driver is less likely to mistreat customers. GoWithMi ensures driver credit continuity through blockchain's immutability. From the outset, GoWithMi has a large pool of high-quality transport capacity available.

  • Matching Capacity with Demand:
    Managing the matching of transport capacity and ride requests seems to be a matter of map capabilities: how to quickly guide drivers to pick up passengers or even pre-deploy vehicles to areas with expected order growth. However, the essence is still data competition. Core algorithms for map services have not seen significant breakthroughs in almost 60 years. The development of electronic map navigation for nearly 20 years has largely optimized algorithms into engineering. Continued data improvement is endless. Firstly, roads, buildings, etc., in the real world are constantly growing and changing, requiring corresponding data growth and change. Secondly, as O2O services continue to evolve, new data demands are constantly emerging, requiring rapid fulfillment. GoWithMi's global decentralized travel service ecosystem built on blockchain technology naturally has a high growth advantage in data and map capabilities. As a result, the GoWithMi ride-hailing platform will offer high-quality differentiated ride services, avoiding the unhealthy subsidy wars that plague other platforms.

  1. Space Sharing
    Airbnb, valued at $31 billion, provides a platform for ordinary people to rent and rent out homes. Apart from data dependency, the current industry pain point is credit issues. Since existing credit systems predate blockchain and lack a comprehensive credit system or credit alliance, landlords face the challenge of allowing low-credit individuals into private spaces. Damage to landlords' property by low-quality tenants is not uncommon.
    GoWithMi addresses this issue by providing a digital identity based on user credit behavior, offering credit assurance for renters and alleviating landlord concerns, promoting transactions.

  2. Delivery Service
    Meituan, valued at $30 billion, represents the food delivery industry, enabling people to enjoy meals without leaving home. As an operational industry, efficiency is paramount. Except in countries like China and the US, due to the lack of door address information, map services can only guide to approximate locations, requiring couriers to either memorize detailed addresses or stop and ask for directions. This wastes a considerable amount of courier time, especially in the last mile.
    Obtaining a large amount of door address information is precisely the advantage of GoWithMi's data consensus layer. GoWithMi can quickly acquire industry-specific data through crowdsourcing and decentralized review, and automatically compile it for rapid deployment in services.

  3. Sharing Inclusive Finance
    Based on GoWithMi's cross-border financial services, GoWithMi will have local fiat currency cash pools. Through comprehensive assessments based on accumulated credit, GoWithMi will provide small-scale financial services at extremely low costs.

  4. Usage-based Insurance (UBI)
    UBI is based on vehicle owner driving behavior data. Insurance companies can offer greater discounts to drivers with good driving habits, while raising premiums for those with poor driving habits. This encourages drivers to adopt better driving behavior and regulates urban traffic.
    Accumulated driving behavior is also part of user accumulation. Through user data authentication, users, and only users, control their data rights. Users can disclose their data to insurance companies or trusted third parties to demonstrate their good driving behavior and obtain greater insurance discounts.
    Beyond UBI, a relatively mature form of granular insurance, the accumulated credit of various user behaviors can be provided through GoWithMi's unified access for external service integration, allowing users to decide whether to connect with financial or insurance institutions.

  5. MaaS (Map as a Service)
    Mapbox, a ToB map service, secured $164 million in funding at the end of 2017, demonstrating the vast potential of the global MaaS market. However, like all previous map services, it faces a tradeoff between high data costs and profits. Therefore, Mapbox uses the open-source map OSM (Open Street Map), unable to control data quality at the source, impacting its service quality and scope.
    GoWithMi, as a complete ecosystem, resolves the cost inversion problem, providing MaaS services based on high-quality data.

  6. For Car Manufacturer/Data Sale
    In China alone, NavInfo, a company primarily focused on selling map data to car manufacturers, has a market capitalization of nearly 30 billion yuan. GoWithMi can obtain higher-quality data at a much lower cost than NavInfo.

  7. LBS Game
    For LBS games, maps are core scenarios, requiring more customized presentation and more granular local data. For example, obtaining items in LBS games is often geographically dependent, making decentralized maps more fair and equitable. In the pure LBS game market, Pokemon GO, a global phenomenon, emerged. When blockchain was introduced to LBS games, projects combining games and integrated marketing emerged, gaining industry recognition. As the world's first decentralized, distributed intelligent map, GoWithMi can provide the foundation for all future decentralized LBS games.

  8. Internet of Vehicles (IoV)
    IoV, as a hot area within the Internet of Things, has been continuously promoted. However, due to barriers between vehicle manufacturers, it has not reached scale. Token incentives can address the cold-start problem. The GoWithMi app installed on smartphones already provides functions comparable to dedicated IoV devices. Importantly, IoV essentially involves collaboration between vehicles, vehicles, and roads. GoWithMi's ecosystem, originating from collaborative production, has a natural advantage in developing IoV.

  9. Membership Service
    Membership services, like AAA (American Automobile Association), have been present throughout automotive history since vehicles were invented. GoWithMi's ecosystem inherently possesses membership attributes, while the accumulation of vast personal data enables the provision of more exclusive and customized services for members.

  10. Traffic Forecast Media
    Travel services can be integrated with media platforms, creating traffic forecasts similar to weather forecasts, establishing brand value in the traditional public sphere.

Related Links:
https://www.qukuaiwang.com.cn/szhb/3297.html###

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Development History
2020年Q1~4Full regional coverage period: release dAPP 2.0;; The high-precision map was officially released; The main chain is officially launched; The initial map covers America, Africa and Europe, completing global coverage.
2019年Q3~Q4Ecological development period: the main chain test is online; Global node deployment; Release dAPP 1.0;; Map dAPI is commercialized; Scale of business model; The initial map covers South Asia and East Asia.
2019年Q1~Q2Official operation period: online trading platform; The initial map covers Southeast Asia; Digital real estate GoZone function is launched; Map API test; High precision map crowdsourcing test.
2018年12月"GoWithMi" mobile phone 3D map App has been updated with 10 Android versions and 6 IOS versions.
2018年11月The Beijing team cooperated with the Silicon Valley team to complete the system architecture design of the "Spatial Peer-to-Peer Computing Network
2018年10月Based on consensus collection, the density of POI collected in the inner ring area of Jakarta has reached 97.95/km2, which is more than twice the density of Google map data in the same area according to the third-party monitoring data. After rigorous testing by a first-class supplier of automobiles, GoWithMi Indonesia data has reached the accuracy of vehicle navigation level, and orders from international automobile manufacturers such as Honda have been obtained.
2018年09月The basic data of Jeju Island, Hong Kong and Singapore in South Korea has been deeply sorted out. Token(GMAT) release based on ethereum ERC20. The download volume of mobile phone products exceeded 1.1 million, and the DAU exceeded 20,000.
2018年08月For the small islands in Southeast Asia, the worlds first pilot auction of "blockchain island space land rights" was held in Hong Kong, and 20 islands were sold out within one day. The multi-source data road condition fusion system is launched, which integrates UGC, PGC and industry data to produce road conditions, and the quality of road conditions is essentially improved. The customized version of the Asian Games was released online, and the cumulative download during the Asian Games (8.18~9.2) exceeded 300,000.
2018年07月Obtained the 10 million-level PreA round of financing from Kresna Investment, Indonesias largest IT listed group, and started to form a local JV company together.
2018年06月The prototype of consensus data acquisition technology based on symmetric game mechanism is completed; The map of Indonesia is online, providing real-time traffic information guidance, and the data is mainly based on 3D architecture and POI task reward collection.
2018年05月The basic map data of Southeast Asia has been reserved.
2018年04月Mobile phone map Android1.0 was released online; Obtained the investment of "Angel Wheel+"of millions of RMB from Zhizhuo Capital, the worlds largest geographic information professional investment institution.
2018年01月Received millions of RMB "Angel Wheel" investment from Man Zi Fund.
2017年12月Based on the latest papers in the industry, the internal version of the "Map Automatic Compilation Engine" has been developed, which has realized the full-automatic production of map data without any human intervention for the first time in the world, laying the foundation for all map production in the chain in the future. This method can greatly reduce the cost of map production (it is estimated that the traditional centralized collection cost can be reduced by up to 98%), and improve the update speed of map (GoWithMi can reach the update speed in days at present and in minutes in the future), laying the foundation for realizing "global real-time map".
2017年10月The mobile phone map beta (IOS) was released online, and seed users began to be obtained.
2017年09月Basic map data of Indonesia is completed.
2017年08月The map data mapping platform based on image data is completed, which can automatically generate high-precision road network, topography, building outline, etc. based on satellite images and aerial photos of unmanned aerial vehicles, thus solving the cold start problem of batch map data and laying the foundation for low-cost rapid replication in the future.
2017年05月The local operation team in Indonesia was established.
2017年03月The project started.
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