Hey Product Hunt 👋 I'm Vadim, founder of ValueAgent. This started with a frustration. Every great value investor — Buffett, Klarman, Hohn, Pabrai, Greenblatt — treats deep reading as the actual job. Buffett reads 500 pages a day. The reading IS the investing. For most of us with a day job and a family, that's not realistic. A 10-K is 200+ pages. Add three years of proxies, four earnings calls, the competitor's K — that's a week of focused reading just to form a view on one stock. The gap between the average investor and Buffett isn't intelligence. It's hours. So I built ValueAgent. Type a US ticker. 30 minutes later you get a 12,000-word thesis that triangulates intrinsic value three ways, applies Buffett's moat lens, Klarman's margin of safety, Hohn's kill criteria, and Chanos' forensic eye. The architecture is what I'm proudest of — six specialist agents, each owning one question, instead of one generalist model trying to do everything. The output is one coherent thesis where every claim has a named author and a citation underneath. A few things I'd genuinely love feedback on: 1. The sample thesis on PLTR (value-agents.com/sample/PLTR) — is the depth right? Where would you cut? 2. Pricing — $79/mo for 20 fresh theses feels right for a self-directed watchlist, but curious how PH folks read it 3. The kill-criteria-as-watchlist concept — useful signal or noise? First thesis is free, no card. Try any US ticker. Not investment advice. Just the work. Happy to answer anything 🙏

ValueAgent

AI agents read the 10-K so you don't have to

AI agents read the 10-K so you don't have to