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Knowledge

All educational articles on tokenomics — from basics to advanced models

Supply Models

Allocation, bonding curves, airdrops, reward emissions, market models

5 Token Supply Models

Five token supply models: allocation, bonding curve, airdrop, reward, and market distribution. Each explained with examples, formulas, and practical guidance.

Vesting and Unlocks: Benchmarks, Formulas, and Sell Pressure

Vesting standards by round (seed, private, public, team), sell pressure formula at unlock, and analysis of failed unlocks.

Token Allocation as a Supply Model

How to distribute tokens among the team, investors, and community. Vesting schedules, cliff, TGE, common mistakes, and an unlock calculator.

Airdrop as a Token Distribution Model

Airdrop — free token distribution for activity. Four airdrop types, allocation formulas, sybil protection, sell pressure, and a distribution calculator.

Bonding Curve: A Token Supply Model

What is a bonding curve, minting formulas, curve types, DeFi and loyalty program examples. How to choose parameters A, B, C.

DePIN Tokenomics: Decentralized Infrastructure Economics

DePIN tokenomics: Burn-and-Mint Equilibrium, incentive flywheel, and node unit economics. Filecoin, Helium, Render, and Hivemapper analysis with formulas.

Points Systems: Pre-Token Loyalty Programs

How to design a points program — actions, conversion, Sybil defense. Case studies from EigenLayer, Blast, Hyperliquid. Formulas and anti-patterns.

Reward Emission: Halving, Decay Curves, and GameFi Rewards

Reward supply model: how to design emission for useful actions. Halving, decay curves, GameFi rewards, and an emission calculator.

Market Models: Order Book, AMM, and Intent-Based Trading

Three market models for token liquidity: order book, AMM, and intent-based trading. Mechanism comparison, slippage formulas, and decision tree.

Demand Models

Demand models, velocity, dividends, staking

Validator Payment Models: Economics of PoS Networks

How validator economics work: reward models (emission, fees, MEV), slashing, delegation. Yield formulas, PoS network comparison, node unit economics.

5 Token Demand Models

Five demand models for token utility: Discount, Payment, Ownership, Securities, Value Transfer. Formulas, real-world examples, and a selection algorithm.

Token Velocity: Why Payment Tokens Lose Value

Token velocity and price: MV=PQ equation, the velocity paradox, velocity sinks (staking, burning, locking), interactive calculator, and Python simulation.

Staking: Economics, Models, and Reward Design

Staking economics in tokenomics: APR vs APY, inflationary vs real rewards, liquid staking, and slashing. Formulas, simulation code, and a yield calculator.

veTokenomics: The Economics of Vote Escrow in DeFi

Deep dive into the ve-model — voting power decay formula, gauge voting, bribe economics. Comparison of Curve, Pendle, Velodrome and ve(3,3).

Stablecoin Tokenomics: Models, Formulas, and Terra Lessons

Four stablecoin models — fiat-backed, algorithmic, hybrid, and CDP. Peg mechanics, the UST crash analysis, and USDC/DAI/FRAX comparison.

Dividends vs Buyback: Two Token Utilization Models

Comparing dividend (revenue share) and buyback & burn models. Yield formulas, metrics, hybrid ve-models, and choosing the optimal utilization strategy.

Discount Model: Token Utility Through Fee Reduction

Discount token utility: price ceiling formula, discount types (fixed, tiered, dynamic), BNB and CRO case studies, and token reinforcement strategies.

Payment Model: Token as the Means of Payment

Payment utility model: token as the sole means of payment. MV=PQ equation, velocity paradox, retention mechanisms, Filecoin, ETH, and TON case studies.

HYPE Tokenomics: How Hyperliquid's Fee-Funded Buyback Actually Works

Full breakdown of HYPE tokenomics: allocation, the no-VC airdrop, the Assistance Fund mechanics, daily buyback math, sustainability under volume shocks, and the specific risks that come with the design.

Buyback Engineering: A Working Playbook for Fee-Funded Token Programs

A working playbook on buyback engineering for fee-funded token programs: the five design axes, contract-level audit checklist, execution-strategy choice (TWAP, continuous, batch, Dutch auction), and lessons from Hyperliquid, Jupiter, and Jito.

Ownership Model: NFTs, RWA, and Commodity Tokens

Ownership as a token utility model: NFTs, RWA, commodity tokens. NAV and premium formulas, three types of ownership tokens, PAXG, Ondo, and RealT cases.

Tools

Simulations, agent-based modeling, templates, mechanism design

Token Project Unit Economics: Metrics, Formulas, and Modeling

How to calculate unit economics for a crypto project — LTV, CAC, revenue per token, velocity. Formulas, Python code, and common mistakes.

How to Calculate FDV: Formula, Calculator, Pitfalls

Fully Diluted Valuation — formula, data sources, calculator, MC/FDV ranges, and common pitfalls when measuring dilution risk.

DCF for Token Valuation: Rates, Terminal Value, OpenAI Anchor

How to apply DCF to a token: choosing the discount rate (US treasuries, EUR/JPY anchors, crypto premium), terminal value as the main trap, sensitivity, and a Fair Value calculator.

Agent-Based Modeling in Tokenomics

When spreadsheets aren't enough: agent-based modeling for stress-testing tokenomics. Python code, charts, and result analysis.

On-Chain Analytics for Tokenomists: Tools, Metrics, and Practice

On-chain analytics for tokenomists: Dune, Nansen, DefiLlama tools, holder concentration metrics, exchange flows, and wallet activity patterns.

Allocation and Vesting Template (Google Sheets)

Token allocation and vesting template in Google Sheets: set group shares, cliff, and vesting — get the full unlock schedule and charts automatically.

DeFi Risk Management: Simulation, Monitoring, and Parameter Optimization

DeFi risk management: vulnerability detection, risk oracles, and parameter simulation. Gauntlet, Chaos Labs, VaR formulas, and cascade liquidation mechanics.

Tokenomics Simulations: Monte Carlo to Agent-Based Models

Simulation methods for tokenomics: sensitivity analysis, scenario analysis, Monte Carlo, agent-based modeling. Python code, charts, and method comparison.

Product-Led Tokenomics: Designing a Token From the Product

Product-led tokenomics: a framework for designing a token from product architecture — JTBD, value capture, and archetype-to-mechanics mapping.

Mechanism Design in Tokenomics

How to integrate supply and demand models into a unified incentive system. Game theory foundations, design cases, and common mistakes.

Primitives

AMM, liquidity, base protocol mechanisms

Units of Work in AI and Crypto: From Bitcoin PoW to Salesforce AWU

Five ways industries measure work — Bitcoin Proof of Work, Ethereum gas, training FLOPs, LLM tokens, and Salesforce AWU. Where each metric breaks, how they line up on a dollar scale, and why the intersection of AI and crypto is the most interesting place in the spectrum.

AI Agent Tokenomics: From Memecoins to Revenue Share

Why most AI agent tokens behave like memecoins, the four mechanics that turn them into real assets, and why none of it works without decentralized compute.

DeFi Hacks 2026: A Taxonomy of $765M in Attacks

Review of the largest DeFi hacks of 2026 (Kelp DAO, Drift, Resolv, Step Finance, Truebit, Rhea) with a taxonomy of attack vectors and tokenomics lessons.

MiCA Article 6 stablecoin bundle: whitepaper, iXBRL, cadCAD peg simulation, redemption gate

How to ship a MiCA Article 6 stablecoin whitepaper as a coherent engineering deliverable: iXBRL Annex I structure, cadCAD peg simulation, redemption gate stress test. Built for the 1 July 2026 CASP cliff for EMT issuers.

Automated Market Makers (AMM)

How AMMs work, pricing formulas, impermanent loss, protocol tokenomics, and liquidity design for token launches.

AI Agent Tokenomics: Six Design Patterns That Work, One That Failed

AI agent tokenomics catalog: 6 design patterns that work and 1 that failed. Platform buyback, provider staking, routing currency, subnet model, compute-indexed primitive, reputation economies — with Virtuals, Aethir, Akash, Bittensor numbers.

Market Making in Tokenomics: Role, Models, and Cost

How market makers affect tokenomics: spreads, depth, inventory risk, loan + call option, MM KPIs. When you need an MM and when you don't.

Prediction Markets: AMM, CLOB, and Betting Tokenomics

How prediction markets work: AMM vs CLOB comparison, LMSR pricing formula, betting fairness problem, and Sybil arbitrage.