Lesson 1Token supply mechanics: issuance schedules, inflation, halving, minting, burning, capped vs. uncapped supplyDis section examine token supply mechanics, including issuance, inflation, halvings, minting, an' burning. Learners compare capped an' uncapped supplies, model dilution, an' assess how supply policies influence price an' incentives, seen.
Genesis allocations an' vesting schedulesBlock rewards, emissions, an' tail inflationHalving events an' supply shock narrativesMinting, burning, an' fee-burn mechanismsDilution, float, an' fully diluted valuationLesson 2Reading an' extracting key information from whitepapers an' protocol specificationsDis section train learners to read whitepapers an' protocol specs critically. It cover structure, key economic an' technical claims, token distribution, governance, an' how to identify red flags, missing data, an' unrealistic promises, yuh zeet.
Typical whitepaper structure an' sectionsIdentifying core problem, scope, an' audienceConsensus, security, an' threat assumptionsToken distribution, unlocks, an' incentivesRed flags, omissions, an' unverifiable claimsLesson 3Staking, delegation, an' validator economics: rewards, slashing, lock-ups, an' effects on circulating supplyDis section detail staking, delegation, an' validator economics in proof-of-stake systems. It cover reward structures, slashing, lock-ups, liquid staking, an' how dese mechanisms affect security, liquidity, an' circulating supply, mi bredda.
Validator roles, hardware, an' responsibilitiesReward schedules, APR, an' real yieldSlashing conditions an' risk managementDelegation models an' staking poolsLiquid staking tokens an' rehypothecationLesson 4How tokens capture economic value: utility, governance, payment, an' commodity-like characteristicsDis section analyze how different token types capture an' distribute economic value. It distinguish utility, governance, payment, an' commodity-like tokens, an' examine fee flows, value accrual, an' regulatory implications for each design, yuh know.
Utility tokens an' access-rights designGovernance tokens an' voting powerPayment tokens an' medium-of-exchange rolesCommodity-like an' asset-backed token traitsValue accrual, buybacks, an' fee-sharing modelsLesson 5On-chain activity metrics an' interpretation: active addresses, transaction counts, fees, throughput, an' gas dynamicsDis section teach how to interpret on-chain activity metrics such as active addresses, transactions, fees, an' gas. Learners connect raw metrics to user behavior, network health, congestion, an' economic sustainability of protocols, seen.
Active addresses, users, an' sybil concernsTransaction counts, throughput, an' batchingGas, base fees, an' priority fees explainedMEV, reorgs, an' fee market dynamicsInterpreting dashboards an' avoiding misreadsLesson 6Overview of blockchain architectures an' consensus mechanisms (PoW, PoS, hybrid, layer-2 solutions)Dis section introduce core blockchain architectures an' consensus mechanisms. It compare PoW, PoS, hybrid designs, an' layer-2 scaling, focusing on security, decentralization, throughput, an' trade-offs in real-world networks, mi fren.
Monolithic vs modular blockchain designsProof-of-Work security an' incentivesProof-of-Stake variants an' finality modelsHybrid an' committee-based consensusLayer-2 rollups, channels, an' data availabilityLesson 7Stablecoins, wrapped tokens, an' cross-chain bridges: mechanics, use cases, an' systemic implicationsDis section explain how stablecoins, wrapped tokens, an' cross-chain bridges work. It cover design models, collateralization, bridge security risks, an' systemic impacts on liquidity, leverage, an' contagion across blockchain ecosystems, yuh zeet.
Fiat- an' crypto-collateralized stablecoin modelsAlgorithmic an' hybrid stablecoin stabilizationWrapped assets an' synthetic token designBridge architectures an' security assumptionsSystemic risks, depegs, an' contagion channelsLesson 8Network effects an' adoption curves: protocols, applications, an' developer ecosystemsDis section explore how network effects drive protocol an' application adoption. It cover user an' developer growth, adoption curves, composability, an' how ecosystems compete, coordinate, an' entrench advantages over time, seen.
Direct an' indirect network effects in protocolsAdoption curves an' S-curve modelingDeveloper ecosystems an' tooling flywheelsComposability, liquidity pools, an' moatsMultichain competition an' winner-take-most
