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invest-like
Score any stock against Buffett, Graham & Lynch in 60s
AI stock analysis grading every public stock against 7 documented value-investing frameworks (Buffett, Graham, Fisher, Lynch, Greenblatt, Munger, Smith). The auto-selected best-of-7 tier returned a median +75.6% above the S&P 500 over 5y (backtested, methodology published). Buffett Brain verdict, Boardroom debate, Ask Buffett with real letter citations. 12,000+ tickers. Educational only.
I'm Zaid, 17 years old from Germany. I built invest-like because I kept staring at raw metrics trying to figure out if a stock actually fits a value investing framework - and nothing answered that question directly.
So I turned Buffett's, Graham's, Lynch's and 4 other documented frameworks into deterministic checks. You enter a ticker, you get a scored breakdown with the reasoning in 60 seconds. No signup needed to try it.
The best-of-7 consensus tier has backtested +72.7% above the S&P 500 over 5 years. Methodology is fully published.
Would genuinely love feedback from investors here - what's wrong with it, what's missing, what would make you pay €15/month for it.
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About invest-like on Product Hunt
“Score any stock against Buffett, Graham & Lynch in 60s”
invest-like was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. AI stock analysis grading every public stock against 7 documented value-investing frameworks (Buffett, Graham, Fisher, Lynch, Greenblatt, Munger, Smith). The auto-selected best-of-7 tier returned a median +75.6% above the S&P 500 over 5y (backtested, methodology published). Buffett Brain verdict, Boardroom debate, Ask Buffett with real letter citations. 12,000+ tickers. Educational only.
invest-like was featured in Investing (26.6k followers), Artificial Intelligence (471.1k followers) and Finance (6k followers) on Product Hunt. Together, these topics include over 111.8k products, making this a competitive space to launch in.
Who hunted invest-like?
invest-like was hunted by Zaid G. . 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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Zaid G.