Yuri Nobre's Work | ContraWork by Yuri Nobre
Yuri  Nobre

Yuri Nobre

Shopify Markets & Liquid dev. Own stores, real Meta Ads data

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Cover image for End-to-end digital infrastructure and automation
End-to-end digital infrastructure and automation suite tailored for dental and orofacial harmony clinics. Functioning as a comprehensive "business-in-a-box," it combines a public-facing institutional site with an automated social presence (Instagram feed with pre-scheduled posts). The core engine is an AI-powered WhatsApp bot that handles 24/7 lead capture, triage, and instant appointment booking—ensuring zero dropped leads. The back-office features a custom reception dashboard for patient management and doctor-specific calendar views.
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Cover image for B2B digital catalog and lead
B2B digital catalog and lead capture platform for a nationwide laboratory and hospital supplies distributor. Digitizes a 15-year-old traditional operation by showcasing equipment, glassware, and PPE from top brands. The front-end is optimized for technical sales workflows, featuring a high-conversion quote request engine with a strict 24-hour response SLA and floating WhatsApp integration for specialized support. [Insert your stack here, e.g., Built with Next.js
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Cover image for Founder and lead engineer
Public site
Founder and lead engineer Public site for the Trevo Code studio (Next.js on Vercel, WhatsApp lead capture) plus the internal platform behind it: a CRM with a prospecting engine that enriches and sequences 2,300+ leads, transactional email on a custom domain, and offer landing pages that 301 into a partner checkout. Same stack across the board: Next.js 16 App Router, Supabase/Postgres with RLS, server actions, cron jobs. Also home to TrevoPost, a multi-account Instagram scheduler with AI captions and Graph API publishing.
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Cover image for Founder and full-stack engineer
SaaS that
Founder and full-stack engineer SaaS that aggregates property auctions from all 27 Brazilian states into one catalog and recalculates each lot's true cost (auctioneer fee, taxes, registration, arrears) before you bid. 22 Python collectors feed 14,000+ lots into Supabase/Postgres; a scoring engine filters by discount, margin and region; an AI assistant reads the property record (matricula) and flags risks. Next.js App Router on Vercel, RLS-protected data, daily automated collection. Built solo, in production.
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