Low-Code / AI Developer: Build B2B SaaS MVP (Supabase + n8n + OpenAI Vision)

Looking for an experienced low-code / AI full-stack developer to build a working MVP for a B2B SaaS restaurant application. The application transforms B2B wine distributor invoices (PDFs or Images) into instant, 1-sentence sales pitch cheat sheets for restaurant servers on their mobile devices. Most of the logic will rely on Supabase, n8n, and OpenAI GPT-4o Vision API. Front-end should be built quickly using Lovable.dev, Bolt.new, or a lightweight React or Tailwind frontend. To prove you read this job posting, please start your application response with the exact words: "Wine Copilot". Generic copy-pasted proposals without this heading will be immediately archived. Tech Stack Requirements: - Database and Auth: Supabase (PostgreSQL) - Backend and Automation: n8n plus OpenAI GPT-4o Vision API - Front-End Interface: Lovable.dev, Bolt.new, or custom React or Tailwind web app (Mobile-First) - Timeline: Strict 2-week sprint required from contract start to final handoff. Please only apply if you have immediate availability to focus on this build. Deliverables: 1. Supabase Schema: Setup venues, invoices, and wines tables with Row-Level Security (RLS). 2. n8n plus GPT-4o Workflow: Invoice upload webhook to parse line items (wine, vintage, cost), prompt engineer 1-sentence pitch scripts and taste profiles, and write directly to Supabase. 3. Front-End: - Manager View: Invoice upload dropzone and parsed list review. - Server View: Mobile-first searchable wine list with expandable pitch cards (Price, Taste Profile, Food Pairings, Pitch Script). 4. Testing and Handoff: Test with 5 sample invoices provided by us plus a 15-minute Loom video walkthrough.