Overpriced.ai — the growth rate hiding inside every stock price

01The problem

Most equity research hands you a price target and hides the assumptions. Expectations investing flips that: start from today's price and extract the growth it implies, then ask whether the business can plausibly deliver it. The method — popularized by valuation teaching like Damodaran's — is powerful and tedious in equal measure, which is why almost nobody does it by hand for more than one ticker.

02What we built

• A reverse-DCF engine on live market data: enter a ticker, get the implied growth rate and how it compares to fundamentals — over- and under-priced names flagged with the reasoning visible.
• A screener that runs the same analysis across the market on a schedule, not just per lookup.
• Watchlists, alerts, and a daily digest, so the analysis reaches you when prices move — not when you remember to check.
• A premium Telegram bot for the analysis-in-chat crowd, tiered with subscriptions.
• AI commentary that stays grounded in the computed numbers — the model explains the math; it doesn't replace it.
• A native Android companion built with Jetpack Compose alongside the web app.

03How it's built

The valuation math is deterministic code with the model layered on top for explanation — the reverse of most "AI finance" products, and the reason outputs are reproducible. Scheduled jobs refresh the screener and snapshots daily.

04Where it stands

Live at overpriced.ai with subscriptions running across web, Telegram, and Android. It's our standing demonstration that agentic features — bots, scheduled analysis, alerting — belong on top of rigorous, deterministic cores.