Symptom Checker & Guidance Tool

People often misdiagnose symptoms (like mistaking sepsis for flu) and delay seeking help. An AI-powered symptom checker asks targeted questions and provides severity guidance with clear 'see a doctor immediately' warnings. Target users are health-conscious people wanting quick medical guidance.

Symptom checkers have been around for years, but the LLM wave genuinely changes the interaction quality — older rule-based tools like WebMD's checker feel clunky compared to what's now buildable with conversational AI, and post-pandemic health anxiety has kept consumer interest in self-triage tools elevated. The closest incumbent is Ada Health, a well-funded app that has been doing this since 2016 and already has millions of users, which is a serious headwind for any new entrant. The $2k–$10k/mo revenue band is plausible only through a freemium-to-subscription model or B2B licensing to clinics and insurers, but consumer willingness to pay for yet another health app is historically weak. The biggest risk is liability exposure — one missed "go to the ER" warning resulting in harm creates legal and reputational damage that can kill the product overnight, and that risk shapes every design and business decision in ways that slow execution and raise costs.