NEXUS
AI that tries to destroy your idea before the market does
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NEXUS - AI that tries to destroy your idea before the market does

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Every AI validates your idea. NEXUS tries to destroy it. Your plan gets attacked by hundreds of AI analysts — financial, competitive, regulatory, operational — until weak assumptions collapse. What survives is worth building. It predicted WeWork's $39B collapse. Flagged Bud Light's $27B loss before launch. Called the Hormuz oil crisis before the first ship was attacked. Every claim evidence-tagged. Chat with any analyst. The due diligence that costs $50K — now from $5.

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Maker
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Every AI tells you your idea has potential. Mine tries to kill it. Hey PH — I'm Alex, building NEXUS, based in Spain I got tired of asking AI "should I launch this?" and getting the same safe, balanced, useless answer. No AI will tell you "your unit economics are broken — here's the math." They're designed to be helpful, not honest. So I built something that doesn't validate your idea — it stress-tests it to destruction. You paste your plan. The engine finds gaps and asks hard questions your co-founder should be asking but isn't. Then independent AI teams tear it apart from every angle — financial modeling, competitive strategy, regulatory risk, operations. If your idea can't survive this — it won't survive the market. The report isn't generic advice. Every claim tagged [Fact], [Inference], or [Hypothesis]. Disagree? Chat with any analyst and challenge their logic. Want to test a pivot? What-If mode reruns everything with your changes in one click. I backtested on real events with only pre-event data: → WeWork S-1: predicted IPO collapse, $39B wipeout, CEO removal. All happened in 2 months. → Bud Light: found Walmart's algorithm would auto-remove the product from shelves. Outcome: $27B gone. → Strait of Hormuz: predicted the oil crisis before the first ship was attacked. Just shipped Prediction mode — paste any Polymarket event and get edge detection with Kelly sizing. Perfect timing with the World Cup 🏆 🔮 What's next: we're building a persistent simulation world — a digital twin of real markets, real competitors, and real consumer behavior that runs continuously. Drop any business into a functioning economy and watch what happens in real-time. Not a report — a living world where your idea competes against real market forces before you spend a single dollar in the real one. What decision would you stress-test first?

 Interesting concept. I like the adversarial framing—stress-testing ideas with different analytical “lenses” is often where weak assumptions get exposed early. The real value will come down to how well those AI analysts ground their critiques in evidence rather than just confident-sounding speculation.

Maker

 Exactly right! Confident-sounding speculation is the default failure mode of every AI tool. That's why we built evidence tagging into the core: every claim in the report is marked [Fact], [Inference], or [Hypothesis], and the Speculation Budget shows the exact split. If 40% of a report is speculative, you see that number upfront - not buried in caveats.

The judge layer also helps: it reviews every claim after the simulation and can only reject or downgrade - it's architecturally blocked from adding new assertions. So the final report is always leaner than what the agents originally produced.