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Moats

Why some apps survive AI.

Code stopped being a moat. Every app on the list is tagged with what still protects it: one to three tags, strongest first. Here is what holds, and what AI is wearing down.

120apps tagged
12kinds of moat
2rely on polish alone, the moat AI erodes
2%of the list has nothing structural left
  1. execution polishPolish, reliability and sync quality. The moat AI wears down fastest.74 apps · 62%See the apps ›
  2. integrationsHundreds of connectors, each one kept working by someone on payroll.72 apps · 60%See the apps ›
  3. infrastructure scaleGlobal hosting, deliverability and uptime one person can't match.36 apps · 30%See the apps ›
  4. switching costsYour history, settings and habits live there, and moving them hurts.29 apps · 24%See the apps ›
  5. collaborationIt only pays off when the whole team is in it together.25 apps · 21%See the apps ›
  6. compliance & regulationLicences, audits and legal exposure that a side project shouldn't carry.16 apps · 13%See the apps ›
  7. brand & trustPeople pay for the name: it's the safe choice for clients and bosses.15 apps · 13%See the apps ›
  8. proprietary dataYears of crawls, feeds or archives you can't rebuild in a weekend.12 apps · 10%See the apps ›
  9. network effectsIt's worth more because everyone else is already on it.8 apps · 7%See the apps ›
  10. proprietary modelsIts own trained models and the compute bill behind them.8 apps · 7%See the apps ›
  11. content & rightsLicensed music, media, templates or courses that come with the plan.5 apps · 4%See the apps ›
  12. marketplace liquidityBuyers come for the sellers and sellers for the buyers. A copy starts with neither.2 apps · 2%See the apps ›