1672968673
In this article, we'll discuss information about the FitMax project and FITM token. What is FitMax (FITM) | What is FitMax token | What is FITM token?
FitMax is a Web3 application that aims to take care of the users’ health. We are about to revolutionize home workout by using a combination of Blockchain technology - AR and AI.
Our ultimate goal is to create a healthier and happier planet. This is not just about motivating people to exercise, but helping people fall in love with sport and fitness so they want to exercise.
To bring happiness to people, FitMax is designed based on a troika: social networking, physical health and most importantly, extra income.
1. Technology
Anti-cheating
One of the serious issues in token-paying projects is the users try to hack/cheat by using multiple accounts to farm at the same time to maximize profits.
FitMax team takes the following measures to avoid the above-mentioned matter:
• Prevent all jailbreak and root devices from participating in the project
• Require face KYC before starting. Only one account per person is allowed. If the account is suspected to cheating, FitMax team will check the user's image and KYC information. Should any misbehaving detected, the account will be locked indefinitely.
• Use Binance API to connect the user's account with Binance wallet, ensuring that each player owns only one account.
AI System
Unlike the current fitness projects on the Blockchain platform, Fitmax applies AI technology to track body movements through the front camera of the smartphone or computer.
This brings not only a whole new working out experience but also a wide range of exercises for users, helping to boost the quality of fitness activities.
2. Gym-Fi
Open the FitMax app and place the device against a wall so that the front camera points at you. FitMax's AI will identify the joints of your body and mark them with round dots.
Depending on the chosen exercise, you will need to move your body parts to their respective positions. Each rep in FitMax lasts for 30 seconds to 1 minute. Your task is to do as many reps as possible. Should you reach the target set, you will be rewarded with HIIT tokens.
HIIT tokens can be used to repair and upgrade NFT Equipment Users are encouraged to equip NFT Equipment while doing exercises to earn rewards in HIIT (High Income Investment Token) tokens. HIIT tokens can be used to repair damaged equipment or upgrade them.
Equipments
These are demo attributes and stats, not official. We will update and change continuously during product development.
To earn FITM tokens, users must own at least one NFT Equipment.
NFT Equipment is divided into the following categories:
• Dumbbells: Increase the efficiency of earning in each session.
• Water bottle: Increases the user's stamina in training.
• Clothes: Increase user's luck
• Shoes: Increases items' durability
These are demo attributes and stats, not official. We will update and change continuously during product development.
Each NFT will have a different durability index and the repair fee varies amongst the durability levels.
Endurance will be undermined with each training session. Each workout session costs 01 Endurance, so it is suggested to complete the entire daily workout once in a row.
Rank | Repair fee |
---|---|
Common | 1 FITM |
Uncommon | 1.2 FITM |
Rare | 1.4 FITM |
Epic | 1.6 FITM |
Legend | 1.8 FITM |
Depreciation & Renew
These are demo attributes and stats, not official. We will update and change continuously during product development.
3. Social-Fi
Invite to Earn
The more, the merrier. Instead of running alone, users can invite friends to move and earn together. Each user has one certain Referral Code or Refcode which was auto-generated from the user name. Users can share this Refcode to other users to acquire certain rewards.Note:
Mechanism
Refcode serves as a referral link to download Fitmax App. User A can copy this Refcode in Profile page to invite User B and get rewards once these conditions are met:
Reward
The Reward feature will be added to the Profile page. Once the three conditions above are achieved, the Claim button will shine and User A can claim his reward. Afterwards, rewards will be transferred directly to the Spending wallet.
Note: The reward from the Invite to Earn mechanism will change following the current Event at that time.
Ranking
User's account will have chances to be upgraded and rewarded by NFTs depends on their Invite Point and Helper Point
A System of Ranking and Classifying related to Invite Point and Helper Point ranks user upon their newbie assistance will be released soon:
Tokenomics
Round | Percentage | Token | Vesting Plan |
---|---|---|---|
Presale | 35% | 70.000.000 | 25% TGE 25% monthly vesting |
Liquidity | 20% | 40.000.000 | 25% TGE 25% monthly vesting |
Core team | 10% | 20.000.000 | 12 months Locked 5% monthly unlocked after 12 months cliff |
Marketing & Community | 3% | 6.000.000 | 5% TGE 5% monthly vesting |
CEX | 10% | 20.000.000 | 5% TGE 5% monthly vesting |
Partnership | 10% | 20.000.000 | 5% TGE 5% monthly vesting |
Reward Pool | 8% | 16.000.000 | Starting unlock when App launching |
AI development (Studies and new implement of AI) | 4% | 8.000.000 | Starting unlock when App launching |
Roadmap
Q3 | 2022 | |
ALPHA VERSION APP | MVP |
Basic Workout & Earning | Processing |
Workout History | Done |
The Global Rankings | Processing |
| |
Q4 | 2022 | |
PHASE I | Advanced Workout [with PT Specialists] |
In-App Marketplace | Processing |
More rewarding activities (Daily login & Social sharing) | |
AI suggestion | Processing |
Country leaderboard | |
Daily quests | |
Connect Google Fit / iOS Health | |
Brand ads | |
| |
Q1 | 2023 | |
BETA VERSION | |
Video sharing | |
Gems & Medals | |
Offline events | |
| |
Q2-Q3 | 2023 | |
PHASE II | Custom Workout Plan (with PT specialists) |
Advance Cchallenges | |
Group/Guild challenges | |
P2P challenges | |
Shopping with brands | |
Brands ambassador program | |
Workout livestream | |
Fitness Club program | |
Smartwatch connection | |
User Guides
How and Where to Buy FITM token?
FITM has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT, BNB from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy FITM token
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase FITM from the exchange.
The top exchange for trading in FITM token is currently: PancakeSwap (V2).
BEP-20 contracts: 0x41D52514F6eA0c90993AD36152072a144C12bDc7
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
Find more information FITM token ☞ Website
I hope this post will help you. Don't forget to leave a like, comment and sharing it with others. Thank you!
🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.
#bitcoin #cryptocurrency #token #coin
1659601560
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Are you using WordsCounted to do something interesting? Please tell me about it.
Visit this website for one example of what you can do with WordsCounted.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count
and .from_file
are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter
initialized with the tokens. The WordsCounted::Tokeniser
and WordsCounted::Counter
classes can be used alone, however.
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude
and regexp
. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count
.
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
The WordsCounted::Counter
class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision
argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
You can exclude anything you want from the input by passing the exclude
option. The exclude option accepts a variety of filters and is extremely flexible.
:odd?
.tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Use the from_file
method to open files. from_file
accepts the same options as .count
. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you
and you
are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
The program will normalise (downcase) all incoming strings for consistency and filters.
def self.from_url
# open url and send string here after removing html
end
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license
#ruby #ruby-on-rails
1658068560
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count
and .from_file
are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter
initialized with the tokens. The WordsCounted::Tokeniser
and WordsCounted::Counter
classes can be used alone, however.
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude
and regexp
. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count
.
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
The WordsCounted::Counter
class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision
argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
You can exclude anything you want from the input by passing the exclude
option. The exclude option accepts a variety of filters and is extremely flexible.
:odd?
.tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Use the from_file
method to open files. from_file
accepts the same options as .count
. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you
and you
are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
The program will normalise (downcase) all incoming strings for consistency and filters.
def self.from_url
# open url and send string here after removing html
end
Are you using WordsCounted to do something interesting? Please tell me about it.
Visit this website for one example of what you can do with WordsCounted.
Contributors
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license
1622197808
SafeMoon is a decentralized finance (DeFi) token. This token consists of RFI tokenomics and auto-liquidity generating protocol. A DeFi token like SafeMoon has reached the mainstream standards under the Binance Smart Chain. Its success and popularity have been immense, thus, making the majority of the business firms adopt this style of cryptocurrency as an alternative.
A DeFi token like SafeMoon is almost similar to the other crypto-token, but the only difference being that it charges a 10% transaction fee from the users who sell their tokens, in which 5% of the fee is distributed to the remaining SafeMoon owners. This feature rewards the owners for holding onto their tokens.
Read More @ https://bit.ly/3oFbJoJ
#create a defi token like safemoon #defi token like safemoon #safemoon token #safemoon token clone #defi token
1672968673
In this article, we'll discuss information about the FitMax project and FITM token. What is FitMax (FITM) | What is FitMax token | What is FITM token?
FitMax is a Web3 application that aims to take care of the users’ health. We are about to revolutionize home workout by using a combination of Blockchain technology - AR and AI.
Our ultimate goal is to create a healthier and happier planet. This is not just about motivating people to exercise, but helping people fall in love with sport and fitness so they want to exercise.
To bring happiness to people, FitMax is designed based on a troika: social networking, physical health and most importantly, extra income.
1. Technology
Anti-cheating
One of the serious issues in token-paying projects is the users try to hack/cheat by using multiple accounts to farm at the same time to maximize profits.
FitMax team takes the following measures to avoid the above-mentioned matter:
• Prevent all jailbreak and root devices from participating in the project
• Require face KYC before starting. Only one account per person is allowed. If the account is suspected to cheating, FitMax team will check the user's image and KYC information. Should any misbehaving detected, the account will be locked indefinitely.
• Use Binance API to connect the user's account with Binance wallet, ensuring that each player owns only one account.
AI System
Unlike the current fitness projects on the Blockchain platform, Fitmax applies AI technology to track body movements through the front camera of the smartphone or computer.
This brings not only a whole new working out experience but also a wide range of exercises for users, helping to boost the quality of fitness activities.
2. Gym-Fi
Open the FitMax app and place the device against a wall so that the front camera points at you. FitMax's AI will identify the joints of your body and mark them with round dots.
Depending on the chosen exercise, you will need to move your body parts to their respective positions. Each rep in FitMax lasts for 30 seconds to 1 minute. Your task is to do as many reps as possible. Should you reach the target set, you will be rewarded with HIIT tokens.
HIIT tokens can be used to repair and upgrade NFT Equipment Users are encouraged to equip NFT Equipment while doing exercises to earn rewards in HIIT (High Income Investment Token) tokens. HIIT tokens can be used to repair damaged equipment or upgrade them.
Equipments
These are demo attributes and stats, not official. We will update and change continuously during product development.
To earn FITM tokens, users must own at least one NFT Equipment.
NFT Equipment is divided into the following categories:
• Dumbbells: Increase the efficiency of earning in each session.
• Water bottle: Increases the user's stamina in training.
• Clothes: Increase user's luck
• Shoes: Increases items' durability
These are demo attributes and stats, not official. We will update and change continuously during product development.
Each NFT will have a different durability index and the repair fee varies amongst the durability levels.
Endurance will be undermined with each training session. Each workout session costs 01 Endurance, so it is suggested to complete the entire daily workout once in a row.
Rank | Repair fee |
---|---|
Common | 1 FITM |
Uncommon | 1.2 FITM |
Rare | 1.4 FITM |
Epic | 1.6 FITM |
Legend | 1.8 FITM |
Depreciation & Renew
These are demo attributes and stats, not official. We will update and change continuously during product development.
3. Social-Fi
Invite to Earn
The more, the merrier. Instead of running alone, users can invite friends to move and earn together. Each user has one certain Referral Code or Refcode which was auto-generated from the user name. Users can share this Refcode to other users to acquire certain rewards.Note:
Mechanism
Refcode serves as a referral link to download Fitmax App. User A can copy this Refcode in Profile page to invite User B and get rewards once these conditions are met:
Reward
The Reward feature will be added to the Profile page. Once the three conditions above are achieved, the Claim button will shine and User A can claim his reward. Afterwards, rewards will be transferred directly to the Spending wallet.
Note: The reward from the Invite to Earn mechanism will change following the current Event at that time.
Ranking
User's account will have chances to be upgraded and rewarded by NFTs depends on their Invite Point and Helper Point
A System of Ranking and Classifying related to Invite Point and Helper Point ranks user upon their newbie assistance will be released soon:
Tokenomics
Round | Percentage | Token | Vesting Plan |
---|---|---|---|
Presale | 35% | 70.000.000 | 25% TGE 25% monthly vesting |
Liquidity | 20% | 40.000.000 | 25% TGE 25% monthly vesting |
Core team | 10% | 20.000.000 | 12 months Locked 5% monthly unlocked after 12 months cliff |
Marketing & Community | 3% | 6.000.000 | 5% TGE 5% monthly vesting |
CEX | 10% | 20.000.000 | 5% TGE 5% monthly vesting |
Partnership | 10% | 20.000.000 | 5% TGE 5% monthly vesting |
Reward Pool | 8% | 16.000.000 | Starting unlock when App launching |
AI development (Studies and new implement of AI) | 4% | 8.000.000 | Starting unlock when App launching |
Roadmap
Q3 | 2022 | |
ALPHA VERSION APP | MVP |
Basic Workout & Earning | Processing |
Workout History | Done |
The Global Rankings | Processing |
| |
Q4 | 2022 | |
PHASE I | Advanced Workout [with PT Specialists] |
In-App Marketplace | Processing |
More rewarding activities (Daily login & Social sharing) | |
AI suggestion | Processing |
Country leaderboard | |
Daily quests | |
Connect Google Fit / iOS Health | |
Brand ads | |
| |
Q1 | 2023 | |
BETA VERSION | |
Video sharing | |
Gems & Medals | |
Offline events | |
| |
Q2-Q3 | 2023 | |
PHASE II | Custom Workout Plan (with PT specialists) |
Advance Cchallenges | |
Group/Guild challenges | |
P2P challenges | |
Shopping with brands | |
Brands ambassador program | |
Workout livestream | |
Fitness Club program | |
Smartwatch connection | |
User Guides
How and Where to Buy FITM token?
FITM has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT, BNB from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy FITM token
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase FITM from the exchange.
The top exchange for trading in FITM token is currently: PancakeSwap (V2).
BEP-20 contracts: 0x41D52514F6eA0c90993AD36152072a144C12bDc7
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
Find more information FITM token ☞ Website
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🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.
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