MoatRadar – AI investment research through Warren Buffett's principles
Filtering stock picks through investor personas doesn't replace due diligence, just adds a lens.

It automates a very specific, beloved cookbook — 12 Buffett-style filters plus a 10-year financial scrape and DCF — then layers an AI-written moat and management evaluation on top. The combination of deterministic screening (ROE/ROIC/debt/FCF consistency) with an automated qualitative thesis is the product's smart move; what I'd like to see next is more transparency on the AI model and DCF assumptions so you can trust the outputs instead of just reading them.
Retail value investors, individual stock researchers, financial analysts, investing hobbyists
Filtering stock picks through investor personas doesn't replace due diligence, just adds a lens.
Buffett-style stock scoring when Morningstar and Simply Wall St already do this.
Manual review tool for journalists, not an automated trading signal generator.
It pairs a 12-filter quantitative screen (ROE/ROIC, debt, FCF consistency) and a DCF/margin-of-safety calc with an AI-written moat and management note — nice for fast triage. Nothing groundbreaking in concept (lots of sites promise the same combo), but the end-to-end delivery — screening, intrinsic value, and an AI thesis — makes it genuinely useful if you want a quick second opinion before digging deeper.
Modern EpicPen replacement with multi-webcam and spring-loaded gestures, polished UX for creators.
Free Screen Studio clone with native code and faster export, but no proven performance claim yet.