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AI Berkshire
Buffett, Munger, Klarman & Marks. One verdict per ticker.
AI Berkshire runs four value-investing frameworks — Buffett (moat), Munger (inversion), Klarman (margin of safety), Marks (cycle position) — as parallel agents on any ticker, letting them disagree on purpose. Real market data in (US via Nasdaq/SEC, HK & A-shares via Tencent), four independent theses out, each with a 0-100 conviction score. On NVDA: Buffett Bullish, Klarman Bearish — same data, opposite verdicts. That tension is what a single AI analyst can never show you. Free: 1 analysis/day.
Hi PH! 👋 I built AI Berkshire because I kept asking 'what would Buffett AND Munger AND Klarman think?' — and getting only one answer back.
So I encoded four value-investing frameworks as parallel agents that analyze the same ticker and disagree on purpose. Real market data in (US via Nasdaq/SEC, HK/A-shares via Tencent), four theses out, each with a 0-100 conviction score.
What surprised me most: the disagreements are the product. Yesterday on NVDA, Buffett said Bullish and Klarman said Bearish — same data, opposite verdicts. That tension is what a single 'AI analyst' can never show you.
Try AAPL, 0700.HK, or 600519.SS (the last one got all four legends bullish — rare). Would love to know which lens you trust most.
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About AI Berkshire on Product Hunt
“Buffett, Munger, Klarman & Marks. One verdict per ticker.”
AI Berkshire was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #131 on the daily leaderboard. AI Berkshire runs four value-investing frameworks — Buffett (moat), Munger (inversion), Klarman (margin of safety), Marks (cycle position) — as parallel agents on any ticker, letting them disagree on purpose. Real market data in (US via Nasdaq/SEC, HK & A-shares via Tencent), four independent theses out, each with a 0-100 conviction score. On NVDA: Buffett Bullish, Klarman Bearish — same data, opposite verdicts. That tension is what a single AI analyst can never show you. Free: 1 analysis/day.
AI Berkshire was featured in Investing (26.7k followers), SaaS (43.6k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 173.4k products, making this a competitive space to launch in.
Who hunted AI Berkshire?
AI Berkshire was hunted by Ai berkshire. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ai berkshire