I take ideas and build them into products. Not just with AI. I understand the stack underneath: the architecture decisions that matter, how systems connect, and how to diagnose what's broken when it counts.
Drag to reorder — they're weighted by how much I use them.
Flip any card for the stack. Try the demos below each one.
Drip+
BuildingMobile IV therapy platform — booking, membership management, and automated intake flow
Tech breakdown
Architecting the full product from scratch: Stripe billing and membership tiers, Google Forms health intake (HIPAA-compliant via Google Workspace BAA), Supabase for client and appointment data, Netlify functions for all backend logic, and GEO-optimized content to surface in AI search engines like ChatGPT and Perplexity. The whole thing runs at getdrip.plus — site's mine too.
What actually happens when a client hits "book"
Insurance Coach
ShippedReal-time sales objection detection — listens to calls and surfaces rebuttals instantly
Tech breakdown
Electron app with a Python backend (speech.py). Vosk runs offline speech recognition, pyaudiowpatch captures WASAPI loopback audio to hear both sides of the call, and a locally-running Qwen2.5-7B model handles inference. Supabase stores objection categories and rebuttals. Packaged into a Windows installer via PyInstaller + electron-builder.
Type a sales objection — watch it get detected
Objection detected:
Oaken Life
LiveLife insurance lead gen platform — quote estimator, blog, admin panel, CRM integration
Tech breakdown
Full-stack site with Supabase auth and database, Netlify hosting, Google Search Console setup, PageSpeed optimization, automated SMS drip sequence via Ringy CRM, and lead scoring logic.
Estimate a monthly premium
// Ringy CRM auto-fires this sequence after form submit
// estimates based on typical final-expense carrier rates. exact rate varies by underwriting.
Sent.
I'll reply within 24 hours.
// you found all the combos. that's exactly the kind of person brayden wants to work with.