Independent · verified · confidence-tagged
Teardowns for the
AI economy.
See exactly how AI businesses are actually built — the wedge, the go-to-market engine, the stack, the moat — then steal the opportunities they leave on the table. Every figure sourced and tagged by confidence.
Exactly how they were built
Not founder mythology. The real wedge, channels, spend, stack and growth loops — reverse-engineered from public evidence.
Inspiration you can act on
Every teardown ends with adjacent businesses the company leaves on the table — named customer, tech wedge, MVP scope, difficulty.
Verified, not vibes
Every number links to its source and carries a confidence tag — verified, inferred, or estimated. No naked claims.
- The wedge
- Full GTM engine
- Tech stack
- AI infrastructure
- Moat assessment
- Adjacent opportunities
- Sources & verification log
Latest teardown
tabiji.ai
A founder-plus-agents travel-safety publisher proving distribution — not generation — is the moat.
tabiji.ai is Bernard Huang's deliberate proof that, once AI makes content generation free, durable advantage migrates entirely to distribution and trust. The strategic question is not whether one operator plus agents can build a real business — tabiji shows they can — but whether the repeatable playbook he is documenting in public is itself the product worth more than any single business it spins up.
Read the teardown →More teardowns
Cursor (Anysphere)
The AI-native code editor monetising developer velocity at consumer-app prices.
Perplexity
An answer engine betting that AI search can unseat the ten blue links.
Read the preview free. Unlock the playbook.
Each teardown opens free — the setup, the founders, the model. The full breakdown and its adjacent-opportunity map sit behind a one-time unlock. Tairdown documents the indie AI economy: not just the giants everyone already covers, but the solo founders and micro-businesses you can actually learn from.
Start with tabiji.ai →