Nobody has ever been talked out of a bad idea by a machine that is paid to be pleasant. That is not a flaw in any one model — it is the incentive working as designed. An assistant that argues gets closed; one that celebrates gets renewed. So the market produced applause on demand, and founders started making the most expensive decisions of their lives on it.
Clarno is the machine that argues back.
Feed Clarno an idea — or a product you've already shipped — and it convenes a cohort of simulated buyers: 10, 30, or 50 agents with personas, budgets, memory, and no reason to be polite. They debate in moderated rounds. What comes back is a verdict with evidence attached — and when it reads FAILED, an opportunity-solution tree of ranked pivots comes with it, because a rejection with nowhere to go is just cruelty with better typography. You try the next branch in simulation, not in the market. The judgment is Clarno's. The decision stays yours.
The people behind it learned the lesson the long way. Faysal Fateh and Dr. Seemab Latif — founder and senior technical advisor, husband and wife — spent years building things by trial and error — she teaching machines to read language since her PhD in NLP at the University of Manchester, he starting companies and holding the post-mortems. The conclusion never changed. The hard question was never how to build. It is what to build. The industry's own legends say the same thing — Slack was a dead game, Instagram a bloated check-in app, Reddit the idea after the one Y Combinator declined. Pivots made those companies; the expensive part was finding the pivot. Clarno exists so that argument happens in simulation, on an opportunity-solution tree, before the market sends its bill — and vibe coding, which made the wrong answer cheaper to reach than ever, is exactly why it can't wait.