Y Combinator's Requests for Startups · Summer 2026

AI Personalized Medicine

Requested by Ankit Gupta · View in YC · Start with a Landing Page

Build a marketing landing page for an AI personalized medicine startup targeting oncologists and research hospitals. The page must include: Hero section: - Bold headline: "Treatment plans built for one patient, not a population" - Subheading explaining the problem: today's guidelines are averages — this platform synthesizes each patient's genomic, clinical, and molecular data to find the highest-probability treatment for them specifically - Primary CTA: "Request a Clinical Demo" - Hero visual: a patient profile card with genomic markers linking to ranked treatment options Problem section: - Title: "One size does not fit all in oncology" - 3 data points: percentage of patients who don't respond to first-line therapy, average time to find an effective treatment, cost of trial-and-error prescribing - Short copy on how population-average guidelines fail individual patients How it works: - 3-step visual: Synthesize (genomic + EHR + biomarker data) → Analyze (AI matches against molecular databases and trial evidence) → Recommend (ranked treatments with evidence grades and contraindication flags) Key capabilities (3-column grid): - Pharmacogenomic drug response prediction - Matched clinical trial identification - Contraindication flagging from genetic variants Who it's for: - 3 personas: Oncologist, Research Hospital, Pharma R&D team — each with a one-line benefit statement Trust and compliance section: - HIPAA compliant, FDA SaMD framework alignment - IRB and ethics partnership process - 2–3 placeholder quotes from clinical advisors Contact / demo request form: - Name, institution, role, use case description - "Request Early Access" submit button Footer with company name, tagline, and contact email. Create a modern startup design inspired by Y Combinator (YC) companies. Choose one bright primary color and build a clean, minimal color scheme around it. The design should feel bold, simple, and product-focused with strong typography, generous whitespace, and clear hierarchy.

Builds a marketing landing page for an AI personalized medicine platform. Highlights the problem with population-average treatment, the multi-omic data approach, and a sign-up form for early clinical partners. Genomic pipelines, FHIR integrations, and regulatory compliance require infrastructure far beyond a site builder.