Hi everyone — I'm Vamsi, the solo founder behind One Level Deeper. The idea came from a frustration I've had for years: retail investors have infinite data and zero frameworks. They can look up any stock in seconds, but they have no structured way to think about what they're seeing. So I built the layer that was missing. Every Nasdaq 100 company, analyzed through the investment frameworks of Warren Buffett, Benjamin Graham, Michael Mauboussin, Howard Marks, and Peter Lynch. Same verified SEC data, five different ways of thinking about it. The interesting part isn't when they agree — it's when they don't. When Buffett's framework says "buy" and Marks says "wait," the disagreement itself becomes the most valuable insight. Six months of prompt engineering went into making the AI actually think like each framework rather than producing generic analysis. The hardest problem I solved: getting the model to stop regressing every score to the mean. The fix was decomposing evaluations into independent lenses and aggregating in code, not in the model. The product is free. I'd love your feedback — especially on which frameworks resonate and which feel off. That's the kind of signal I can't get from analytics alone.

One Level Deeper

See how Buffett, Graham, and Marks would read the same stock

See how Buffett, Graham, and Marks would read the same stock