Broken hiring processes are a design problem, not a people problem. Most organizations have recruiters who care, managers who want to hire, and candidates who want to work—but no shared blueprint for how those three groups interact. The result is ghosted candidates, re-scoped roles, and 7-round interview loops that [...]
Most companies are using AI in a silo — pasting context into ChatGPT and pasting answers back into Outlook. That's not automation. It's slightly more efficient manual work. Here's the structural fix.
Naval Ravikant is directionally correct that the SaaS moat is weakening — the data backs him with surprising force. He is wrong on the 18-month timeline. The right operator response.
Thirteen direct answers on the SaaS-moat collapse, Naval Ravikant's thesis, the SaaSpocalypse, vibe coding, citizen-developer risk, AI development tools, and what to do this quarter.
A SaaS moat is the durable competitive advantage protecting a software-as-a-service business from imitation. Six mechanisms, what's exposed in 2026, what stays defensible.
Side-by-side: eight decision factors comparing SaaS to AI-built custom software in 2026. Includes a decision matrix and the factors where SaaS still wins decisively.
Case study: an e-commerce client consolidated six SaaS plugins into one custom portal. Four plugins retired, two retained, pillar systems untouched, near-immediate adoption.
A five-step decision framework for the build-vs-buy choice in 2026: pillar vs connective-tissue filter, API+MCP scoring, three-year cost calc, adoption gate, verdict.
Seven SaaS categories most at risk of custom-build replacement in 2026: form builders, PDF parsers, internal dashboards, connector plugins, calculators, micro-apps, light CRM add-ons.
Naval Ravikant says the SaaS moat is dying. The data says he's directionally right. Jeff Arnold's contrarian take on the timeline, what's at risk, and what operators should do in the next 12 months.
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