A thing serving as a visible or tangible representation of a fact, quality, feeling, etc. β‘οΈ bundle of property rights
Real-life examples:
πΉ Dollar bill
πΉ Coupon
πΉ Highschool diploma
General attributes of a token:
Token type: fungible or non-fungible
Token unit: fractional, whole or singleton, indicating whether a token can be divided into smaller fractions or if there can be a quantity greater than 1
Value type: intrinsic or reference, indicating whether the token itself is a value (e.g. cryptocurrency) or if it references a value elsewhere, like a property title
Representation type: common or unique, indicating whether a token has its own identity and properties
Supply: fixed, capped, variable, gated or infinite, indicating how many token instances a digital asset can have during its lifetime
Template type: single or hybrid, indicating the existence of parent/child relationships or dependencies across tokens
πΉ mint
πΉ transfer
πΉ delegate
πΉ vote
πΉ burn
πΉ stake
Why decentralized tokens?
Create immutable incentives with capital to align various actors on an objective.
What can go wrong?
Externalities: Actions taken by one person that can benefit or harm others
How to build systems responsibly?
πΉ Tokenomics is not a game!
πΉ Perform audits
πΉ Research & education
πΉ Setting standards
Supply in 4 questions
πΉ Where is it right now?
πΉ Where will it be?
πΉ When will it get there?
πΉ How will it get there?
Where is it right now?
πΉ Total supply (tokens created - tokens burned)
πΉ Circulating supply (amount of tradeable tokens)
πΉ Token Market Cap (current valuation of a token economy)
Where will it be?
πΉ Max. number of tokens coded to exist in the lifetime of the token economy
πΉ Fully Diluted Valuation (FDV): market capitalization of a token economy if all tokens were issued out
Example:
Token price: $10
Circulating supply: 10,000
Max supply: 50,000
Inflation is a great way to acquire capital for growth if the value of the token is growing faster than issuance.
πΉ Burning (permanently removing tokens from the supply)
Burning increases the token price (concentrates the value of the tokens to the token holders)
πΉ Buy-backs (controller of the token buys back its native tokens from the economy)
This has the ability to improve token price without changing its market capitalization
How will it get there?
πΉ Airdrop (single value at a point in time)
πΉ Issuance (continuous to bring short-term value)
πΉ Staking (continuous for long-term value creation)
πΉ Unlock schedules/vesting (continuous for long-term value creation)
What drives demand?
πΉ Financial/economic (expected token price performance & incentives)
πΉ Social/cultural (active network/events/place in community)
πΉ Governance (token holders have power to change economic & social rules!) π π‘
Token economies in layers:
1β£ Markets (environment where participants interact)
2β£ Mechanisms (rules of the environment)
3β£ Tokens (medium to achieve objective of system)
1β£ Markets:
πΉ Incentivize eary adopters (cold start problem)
πΉ Partnerships
πΉ Bonuses
πΉ Provide good information to evaluate all decisions
πΉ Ensure safety of marketplace
2β£ Mechanisms:
πΉ Governance (How are decisions made?)
πΉ Non-financial incentives (How is voting done?)
πΉ Structure (How do peers transact with each other? What is the connection with off-chain information?)
3β£ Tokens:
πΉ Token policy (monetary; valuation)
πΉ Financial incentives (e.g. rewards)
πΉ Architecture (distribution structure; algo, math or code)
How to launch a token?
πΉ ICO (Initial Coin Offering)
πΉ IDO (initial DEX Offering)
πΉ Liquidity Bootstrapping (public way to raise funds, market sets initial token price)
πΉ Incentivized Liquidity (allocate tokens that vest over years)
πΉ Liquidity Bonding (offer tokens at a slight discount in exchange for a liquidity position)
πΉ Airdrops (reward early users)
Tool to analyze tokenomics? π
Check @DuneAnalytics, offering free crypto analytics by and for the community!
In addition, you must get familiar with token allocation diagrams. Read and understand them before investing in any project!
Dr. Bing-Yang Lin, Senior Software Engineer at the #IOTA Foundation, just presented some first research results on the robustness of the IOTA 2.0 consensus mechanism! π
Non-technical summary below! ππ§΅
1/ What are the objectives of IOTA 2.0?
2/ What is the Tangle?
The Tangle is a Directed Acyclic Graph (DAG).
Rather than transactions created by users being incorporated into blocks by miners, users function as both the miners and the creators of transactions.
What is crucial for the success of #IOTA?
When to expect a Coordicide-MVP?
(1/17) π§΅π
Before joining the IOTA Foundation (IF), Hans ran an online business, which accepted crypto as payments.
In 2017, Bitcoin became popular and its transaction fees rose. So, it did not make sense to accept BTC payments anymore.
2/17
Looking for alternatives, Hans discovered IOTA. He talked to CfB. Hans was impressed by the underlying idea of the protocol. So, he became part of the community.
In 2018, Hans joined the IF to fix the existing tech problems.
An user-friendly infrastructure for distributed data storage and transfers.
Learn more! π§΅π
(01/10)
PIPE is built by @Tanglehub_eu and immutably stores and transfers any type of data.
Whether you need edge micro-storage or operate high-frequency + high-bandwidth applications, PIPE solves the problem of how to store and transfer any amount of data!
(02/10)
Possible use cases? You can use PIPE to
πΉ keep your data private
πΉ share your data with someone
πΉ sell your data on a data marketplace
It's all about maintaining control over who has access to your data! π
Key takeaways of the latest @hus_qy interview on #IOTA translated into English.
Summary below! π
- With IOTA, a major breakthrough in DLT research has been made.
- Initial version of IOTAβs consensus mechanism did not work out (approval weight could be tricked) β it took very long to understand this.
- BTC maximalists insist on importance of verifying all transactions until genesis. According to Hans, this is not necessary. Only the currently ledger state is relevant. In order to fix bugs, some transactions have to be stored, but the whole history is not needed.