Outcomes Over Tools: What Comes After SaaS
What's the better business: building the AI that does the work, or being the company that uses AI to do the work?
Things AI Think
Thoughts on AI, company building, and early-stage startups — from the founder of TNT, a pre-seed accelerator for technical founders out of MIT & Harvard.
Live Last read · last published · next check
Latest posts
AI & The Noise Pollution Problem
The Noise Pollution Problem
AI Is Ready for You. Are Your Operations Ready for AI?
AI tools are improving fast.
The Market Research Paradox: When Everyone Knows Everything, What Matters?
Market research isn’t completely dying, but it’s being rewritten.
Building at the Speed of AI: Go-To-Market Strategies in a New Era
AI isn’t just speeding up how we bring products to market—it’s flipping the playbook on its head.
The Appeal of Services as a Software
The golden age of SaaS is ending as AI disrupts traditional moats, leveling the playing field and driving prices down. Enter services as a software: by combining the efficiency of software with the personalized expertise of human services, businesses can navigate a more competitive B2B landscape. Discover why this hybrid model will reshape industries by keeping humans in the loop and delivering…
In Search of a Moat: The Decline of B2B SaaS
The SaaS model has defined a generation of B2B tech startups.
The Renaissance of the Non-Technical Cofounder
In today’s AI-driven world, it is absolutely essential for all founders to be AI-native.
AI Messaging: Lessons for Startups
Arthur Clarke’s quote, "Any sufficiently advanced technology is indistinguishable from magic," is particularly relevant when discussing artificial intelligence (AI).
Trust Issues: Navigating Our Relationship with AI
Imagine relying on a machine to make decisions that could shape your career or safeguard your health.