🏰 Moats

1123 apps · 13 moats

Code stopped being a moat. Every app here is tagged with what's left holding it up: 1 to 3 tags, strongest first.

633of 1123 apps (56%) lean on execution polish, the moat AI erodes
72(6%) have nothing else: polish is the entire defence
💅 execution polishPolish, reliability, sync quality, import fidelity: execution, not structure.633 apps →🏗️ infrastructure scaleInfrastructure one person can't match: global hosting, deliverability, uptime, media pipelines.476 apps →🔌 integrationsConnector breadth, and the endless upkeep that keeps every connector working.457 apps →👥 collaborationIt only pays off once the whole team is in it: shared editing, presence, permissions.185 apps →💎 proprietary dataData you can't rebuild: indexes, crawls, live feeds, archives, maps.135 apps →🧠 proprietary modelsCustom-trained or frontier models, plus the compute and inference behind them.134 apps →🏛️ compliance & regulationRegulated ground: licensing, payroll, tax, KYC, HIPAA, real legal exposure.123 apps →🎟️ content & rightsLicensed content, media rights, curriculum, template and asset libraries.112 apps →🛡️ brand & trustPeople pay because it's this vendor, and nobody got fired for that.102 apps →🕸️ network effectsIt's better because other people are already on it: graphs, communities, audiences.93 apps →⛓️ switching costsYour own accumulated history, config and habits make leaving painful.63 apps →🏪 marketplace liquidityTwo sides that need each other, and both of them showed up.10 apps →🔩 hardwarePhysical devices, or data only the vendor's hardware produces.8 apps →

Tags are part of the dataset, so they get argued about in public · the definitions live in the repo ↗