Sectors
Narrative strength, breadth, valuation, and bubble maturity in one place
Sector pages separate new bubbles from renewed bubbles and keep narrative momentum tied to explicit evidence and risks.
Bitcoin ecosystem
Store-of-value leadership plus BTCfi experiments.
Leading tokens: BTC
Layer 1 blockchains
Leaders already survived prior cycles and are re-rating on new throughput and fee paths.
Leading tokens: ETH, SOL, AVAX, BNB, ADA, XRP
Layer 2 networks
Activity is real but token value capture differs sharply across designs.
Leading tokens: ETH
DeFi
A second-cycle sector with proven product-market fit and clearer revenue models.
Leading tokens: AAVE, CRV, JTO, KMNO
Decentralized exchanges
Strong trading activity but emissions and token utility vary widely.
Leading tokens: JUP, RAY, AERO, CAKE, DEEP
Perpetual exchanges
One of the clearest high-alpha hunts if product-market fit and token capture align.
Leading tokens: HYPE, AST
Lending
Revenue-producing and easier to benchmark, though competitive intensity remains.
Leading tokens: AAVE, KMNO, SYRUP
Liquid staking
Established category with proven demand but token differentiation is uneven.
Leading tokens: LDO, JTO
Restaking
Fast narrative growth but long-term economics remain debated.
Leading tokens: ETH
Stablecoins
Critical liquidity layer where adoption can be real even if token capture is mixed.
Leading tokens: ENA
Real-world assets
Potentially large TAM but slower adoption and compliance dependencies matter.
Leading tokens: SYRUP
AI and AI agents
Narrative strength is high, but the platform explicitly demands measurable usage and value capture.
Leading tokens: VIRTUAL
DePIN
Interesting infrastructure angle, though token quality varies sharply.
Leading tokens: SOL
Gaming
The sector has not yet rebuilt consistent monetization quality.
Leading tokens: ETH
Memecoins
High participation, low fundamental durability. Track as a sentiment regime input more than a durable investment framework.
Leading tokens: PUMP
Privacy
Useful niche, but adoption and regulation cap the addressable set.
Leading tokens: ETH
Interoperability
Essential plumbing, though token capture remains case-specific.
Leading tokens: ETH
Oracles
Core infrastructure with lower novelty but easier moat analysis.
Leading tokens: ETH
Data availability
Important for modular scaling, but monetization paths still need more proof.
Leading tokens: ETH
SocialFi
Repeated bursts of attention with uneven retention.
Leading tokens: ETH
Energy and compute
Potential infrastructure exposure tied to AI demand, still early and fragmented.
Leading tokens: VIRTUAL
Other custom sectors
Catch-all for exchange or platform cases not cleanly captured elsewhere.
Leading tokens: BORG, OKB