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I build products that actually ship.

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From idea to production.

v1 — architectureUsersFrontendAPIDatabaseLLM + RAGauth?keep it simple
  • 01

    Think

    Architecture & design

  • 02

    Build

    Frontend + Backend

  • 03

    Intelligence

    LLM + Agents + RAG

  • 04

    Ship

    Cloud + CI/CD + Deployment

  • 05

    Scale

    Performance + Maintenance + Evolution

Developer, builder, entrepreneur.

Building products, end to end.

I'm Maël, a French fullstack developer and co-founder of Wenoble.

I design and build web products, from the first idea to production.

My focus sits at the intersection of product, engineering and AI.

Years of web development
4+
Projects / clients
50+
Products built
3
Things still to build
∞

Tools I like to build with.

  • React
    React

    My go-to UI library. Component-driven interfaces, from dashboards to marketing sites.

  • Next.js
    Next.js

    The framework behind most of my products: routing, server rendering and APIs in one place.

  • TypeScript
    TypeScript

    Types everywhere, front to back. Fewer bugs, safer refactors, faster onboarding.

  • Tailwind CSS
    Tailwind CSS

    Utility-first styling to design directly in the code and keep UIs consistent.

  • Webflow
    Webflow

    Visual development for marketing sites that teams can edit themselves, without a developer.

  • Node.js
    Node.js

    JavaScript on the server for APIs, workers, scripts and integrations.

  • Express
    Express

    Minimal Node.js server for lightweight APIs, webhooks and quick prototypes.

  • NestJS
    NestJS

    Structured backends for larger APIs: modules, dependency injection, clean architecture.

  • PostgreSQL
    PostgreSQL

    The database I trust: relational, reliable, and powerful with JSONB and extensions.

  • MongoDB
    MongoDB

    Document database when the data is flexible, nested or changes shape often.

  • Supabase
    Supabase

    Postgres with auth, storage and realtime built in. Perfect to ship an MVP fast.

  • Claude
    Claude

    My main LLM for agents, RAG pipelines and AI features shipped to production.

  • OpenAI
    OpenAI

    GPT models and embeddings for generation, classification and semantic search.

  • MCP
    MCP

    Model Context Protocol: connecting LLMs to real tools, APIs and data sources.

  • Vercel
    Vercel

    Zero-config deployments, preview URLs on every branch, edge network by default.

  • Cloudflare
    Cloudflare

    DNS, CDN, security and edge workers in front of everything I put online.

  • Docker
    Docker

    Reproducible environments, from local development to production containers.

  • GitHub
    GitHub

    Repositories, pull requests, Actions for CI/CD and issues to run the project.

Let's build it.

Get in touch