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Product

Le Climb

An AI coach for League of Legends players that follows your game live.

Role
Designed & built
Year
2026
Stack
Electron · Next.js · TypeScript
Le Climb landing hero: "Hardstuck? Three focus areas. And you climb." next to a post-game debrief

Context

Players who want to climb the ladder watch coaching videos, but nobody tells them what to fix during their own game. And League of Legends forbids any overlay injected into the game.

What I did

The whole product: a desktop companion app that reads the official live game data and shows advice next to the game, a website to download it, and a post-game debrief that tracks your improvement areas over time.

Outcome

The app is free to download, with automatic updates. A Premium version is coming.

The process

  1. Working around the rule, cleanly

    No injection into the game: Riot forbids it and its anti-cheat detects it. So the companion runs alongside, reading the official API that the League client exposes locally during a game. Each view has one main message; everything else stays in the background.

    Companion mock-up: game objective, resources, live tracking
  2. A restrained identity, built for gaming

    Night background, a single action colour, monospace numbers for stats. Each hue has a job: objective, warning, success. The same system ties the website and the companion together. Users can also plug in their own AI key, with the provider of their choice.

    Le Climb design system: typography and stats table
  3. A landing page that makes you want to install it

    The landing page tells the method on a single page: three axes, proof in numbers, and a two-click install. Same art direction as the companion — night background, orange accent, monospace stats — so the site and the app echo each other.

    Le Climb landing page, top to bottom: hook, method, rank selector, proof in numbers, download and FAQ

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