Tokenomics in Detail: Supply and Demand, Incentives and Governance

TwitterPublicado a 2022-08-01Actualizado a 2022-08-02

Resumen

Token economics is an important part of cryptocurrencies.

Tokenomics is one of the most important aspects of Crypto

If you don't understand tokenomics, you're not gonna make it.

Here’s everything you need to know about Tokenomics🧵

This may be better to listen to.

Here's the video:

https://youtu.be/w0HX5Y-yIJY

What we’ll be covering:

• What is tokenomics?

• A deep dive into supply & Demand

• Market Cap & FDV ( + how to use them)

• Unlocks & Emissions

• Demand Drivers

• The questions to ask

Let’s dive in

Tokenomics refers to the economics & incentives surrounding tokens.

It’s a broad term that covers:

• How the token works

• Supply & demand

• The mechanisms that govern it

• Incentives, psychology & behavioral aspects

• Game Theory & a lot more.

Economies of a token

Supply & Demand

Tokenomics = Supply & Demand of a token

Let’s look at the supply side

The lower the supply, the greater the value due to scarcity (assuming demand is constant)

Projects have fixed token supply or aim to reduce it to make it more scarce.

Bitcoin.

Bitcoin has a fixed supply of 21M. There can only ever be 21M BTC.

If the supply was doubled, price would drop significantly.

Not all BTC is released at once. Today, around 19.1M btc exists.

This is why BTC is considered sound money

Mt.Gox Case.

137K BTC was lost 8 years ago due to Mt.Gox ( then popular trading platform)

Now, the money is being returned & it’s going to enter BTC supply.

People are worried that it’ll have a big negative impact on the price.

Maintaining Scarcity

Ways to maintain scarcity:

• Fixed supply cap

• Burn mechanisms: taking tokens out of circulation

• Lost tokens & tokens sent to the wrong address

Tokens with poor tokenomics have no fixed supply and no mechanisms to reduce supply

Burning Tokens

Taking tokens out of circulation is known as burning. It’s similar to a company buying back shares.

ETH gas fees are split into a tip to the miner & base fee. The base fee is burnt.

Burning happens in many ways. It increases scarcity & drives up value.

The total number of tokens isn’t always the most important factor.

Pay attention to:

1. Current supply

2. Rate of release

If only 30% of total supply is in circulation, I wouldn’t be too happy.

Supply will increase by 70%, adding serious pressure to the price.

The time frame matters.

If 70% of total is being released in 1 month, that’s bad. It’ll cause huge downward pressure on price.

If it’s over 10 years, the loss of value each month may be small.

The project’s growth over 10 years could outperform loss of value

Inflationary Tokens

Inflationary tokens: When there’s:

• No fixed supply

• Increasing supply

• No token removal from supply

There’s loss of value due to increasing supply. This is known as inflation

Doge is an example of this.

Deflationary Tokens:

• Fixed supply

• Decreasing supply

• Burning tokens

This is good as it drives up scarcity.

Market Cap & FDV

Market Cap = number of tokens in circulation X current price

Fully Diluted Value (FDV) = total supply that’ll ever exist X current price

Let’s say token A has a price of $1.

100 tokens are in circulation & a total of 1000 will ever exist.

Mcap = $1 x 100 = $100

FDV = $1 x 1000 = $1000

Mcap to FDV ratio

This ratio is useful.

If there’s a large difference between Mcap & FDV, it means that a lot of tokens are still locked & will be released over time.

In this case, it would be smart to investigate the release schedule & where they’re going to come from.

I would be very careful with a project that has 70% of its supply locked up.

As supply increases, there’s a downward pressure on price.

If Mcap & FDV are close to each other it could mean that the change in value due to increased supply won’t have as much of an impact.

Supply terms

Max supply: The maximum number of tokens ever

Current supply: Number of tokens that exist now.

Circulating supply on CoinGecko & other platforms doesn’t always reflect current supply

They remove coins staked & locked by users out of the circulating supply.

Unrealistic Expectations.

People invest in shitcoins priced at $0.0005 with 1T supply.

The hope is that the shitcoin will go to $1 & they’ll get rich. This just can’t happen.

Shitcoins won't be larger than BTC & ETH

If the shitcoin went to $1, the mcap would be 1T, larger than Eth & BTC.

A random shitcoin isn’t gonna be larger than Eth & BTC.

This sort of bias gets countless people rekt.

Token Allocation

Tokens are distributed through:

1. Private Sale/Pre mined: The team, investors & other insiders get allocated tokens privately. Usually at a BIG discount.

2. Fair launch: It’s completely fair.

If there’s a private sale, it comes with a vesting period.

Vesting Period & Unlocks

Tokens allocated to the Team & VCs come with a vesting period.

These tokens are locked for a period of time, during which they cannot sell them.

Knowing when it unlocks. When large quantity of tokens is unlocked & enters supply, price falls.

Emissions

Emissions refer to how quickly a token is released. The emission schedule includes info on unlocks.

You won’t find this on CoinGecko or CoinMarketCap.

Instead, search through the docs.

Example:

Current supply: 100. 1st Month 5 tokens unlock | 2nd Month 10 tokens unlock.

This means that inflation is 2x in month 2.

Tokens that unlock in month 2 would have a higher incentive to sell immediately, because inflation is higher & they got a discount.

VCs dumping unlocks.

This isn’t to say that every VC is looking to dump

Consider these:

• We’re in a bad market, VCs want liquidity

• VC’s solvency situation

• Inflation at unlock

• Emissions schedule

In a bad market, there’s a greater incentive to dump at unlock

Initial Supply:

The % of total supply released at launch plays a big role.

If only 10% of the total supply is released, 90% will be released over time. Then, early Investors will get hit hard by inflation.

Conversely, if 50% is released, inflation will be less impactful.

Supply Side questions

In your analysis, here are some things to look for on the supply side.

• Number of tokens in circulation

• Whether there’s a fixed supply

• When the tokens unlock

• Rate of release

• Burn mechanisms

• How tokens leave supply

• Rate of inflation

• Incentives to sell due to increasing supply

• Inflation at unlock

The Demand Side

No matter how scarce something is, without demand it has no value.

My jar of dirt is 1/1 but no one’s wants it.

Demand can come in multiple forms:

• Value & Yield

• Utility

• Speculation & Memes

Utility

Utility comes in many forms:

• Service/product that actually solves a problem

• Gas fees

• Token being used in a protocol

• Fun - GameFi & Music

• Great Community & Events- BAYC

Yield & Value - Staking & Rewards

Being rewarded for holding the token.

Staking your ETH in Rocketpool gives you 4% APR

Tokens reward holders for holding them in order to increase demand.

Lecturas Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHace 5 hora(s)

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHace 5 hora(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHace 8 hora(s)

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHace 8 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHace 11 hora(s)

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHace 11 hora(s)

Trading

Spot
Futuros
活动图片