Key insights
- An AI-driven equity research tool targeting retail investors is being developed. It aims to provide institutional-grade analysis, including 10-K reviews, earnings call analysis, and management evaluation, culminating in a research report with recommendations. The tool would also monitor for material changes and re-evaluate theses. The impact on US equities is slightly positive, as it could democratize access to sophisticated research, potentially leading to more informed investment decisions among retail investors.
I'm building a tool that tries to close the gap between how institutions analyze stocks and what's available to regular investors.
The idea: you give it a company (or it surfaces one from a screen), and it does the full research cycle, reads the 10-K including the footnotes, reviews earnings call transcripts, evaluates management quality, competitive position, valuation and produces an actual research report with a buy/hold/pass recommendation. Not a signal. A report with reasoning you can read and disagree with.
If something changes (earnings miss, CEO leaves, competitor announcement), it flags you and re-evaluates the thesis.
Before I build more, I'm trying to understand if this solves a real problem. Three honest questions:
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What do you actually use today to research and pick individual stocks?
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What would it take for you to trust an AI's analysis enough to act on it?
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Would you pay for something like this? If yes, roughly how much per month would feel fair?
No landing page, nothing to sign up for. Just trying to learn before I build the wrong thing.