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 and 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
WPAI
The lean WordPress AI specialist that built a proprietary training-data moat and exited to Automattic 26 months after shipping its first product.
WPAI's strategic arc is that of a deliberate acqui-hire vehicle: a lean, domain-specialist team built the most credible AI stack in a clearly underserved vertical (WordPress, 43%+ of the web), then exited to the platform owner, Automattic, who needed AI credibility and execution capability it couldn't build fast enough internally. The moat was not product scale (subscribers unknown, products sunset immediately) but proprietary WordPress-specific training data, IKE infrastructure, and the founder's unique combination of WordPress ecosystem credibility (10+ years, Isotropic clients, WordCamp presence) and AI technical depth (Syracuse AI studies, fine-tuned models). Automattic bought the team and the IP, not the SaaS revenue.
Read the teardown →More teardowns
Moltbook
A weekend-built Reddit for AI agents that Meta acqui-hired 42 days after launch.
Read →Photo AI
A solo founder's AI photography studio that reached $100K/month in revenue by attaching a thin API wrapper to a decade of distribution.
Read →tabiji.ai
A founder-plus-agents travel-safety publisher proving distribution, not generation, is the moat.
Read →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.
Every teardown, free to read in full.
No paywall and no preview wall. The whole breakdown is open: the wedge, the full GTM engine, the stack, the moat and the adjacent-opportunity map. 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 WPAI →