5 startup ideas sitting in plain sight right now. 1. the missing systems layer for small business. 33 million us companies have no ai team and no ai budget, mark cuban's own number. meanwhile 95% of companies that tried implementing ai internally saw zero measurable revenue return. that gap is the business. not selling ai. selling one working automation, built properly, verified before you leave. lead intake to crm, inventory alerts, appointment reminders that actually cut no-shows. 2. claude.md audits as a service. most teams have a bloated, contradictory system prompt file nobody has reviewed in months. a service that audits it against anthropic's own published best practices, prunes what's outdated, resolves conflicts, gets it back under 200 lines. small, recurring, genuinely useful. 3. verification layer for ai coding output. anthropic's own harness engineering work confirms it directly, a model reviewing its own output skews positive. a tool that sits between "agent says it's done" and "actually merges to main," running a separate, independent check against the real test suite. this is infrastructure most teams are missing and don't realize it yet. 4. skill discovery, but for your specific stack. there are now tens of thousands of claude code skills scattered across github, most people manually search and hope. a paid, curated discovery layer scoped to specific verticals, legal, healthcare, fintech, that actually vets quality and compliance, not just install count. 5. the local ai researcher, productized. pair claude with a local knowledge base, weekly digest, cross-referenced queries, and sell it as a service to solo consultants and researchers who need this system but will never build it themselves. none of these need a new model. they need someone willing to actually build the boring layer between "the technology exists" and "a real business is using it correctly." pick one. build it properly. that's the whole edge right now.(CyrilXBT)