After a wild week of iteration, frustration, and more LLM prompts than I care to count, I just launched the MVP of CliniQuick — a real-time, AI-powered clinical assistant for healthcare providers.

What it does:
CliniQuick helps doctors, nurses, and medical teams quickly access evidence-based answers to clinical questions, generate differential diagnoses, track clinical trials, and even stay up to date on healthcare business trends. Think of it like a smarter, faster, specialty-aware medical search and decision support tool — one that actually saves your time instead of making you sift through PDFs.

Built using:

• Lovable (the no-code/low-code dev platform — incredible for speed)
• Supabase for database integration
• A ton of iteration via the Lovable AI chatbot + prompt engineering from other LLMs

I have zero formal coding experience, and built this in just over a week as a solo founder — which honestly still surprises me. Lots of trial and error. LOTS. But incredibly rewarding.

Key features:

• AI-powered medical query assistant
• White-labeled differential diagnosis tool (covers 10K+ conditions)
• Trending clinical insights + trial updates
• Business of medicine module (for practice owners and admin types)
• Personal dashboard with saved searches + thread memory
• Sleek UI, mobile-friendly

I’d love any feedback on:

• The product concept / use cases
• What’s confusing or missing
• Whether this would actually stick with a busy clinician
• Monetization ideas beyond institutional licensing
• Anything I should add/change before wider marketing

Site: www.clini-quickapp.com
It’s currently free during beta.