LANDING PAGE

KERNEL

March 22, 2026

A high-end scroll-triggered digital experience built on React and GSAP. Employs a 'Prism & Glass' design system featuring a 40px blueprint grid and glowing cyan (#00ffcc) accents over a void navy (#0a0f1a) background.

FocusScroll-driven landing page craft
MotionGSAP and responsive interaction polish
ProofLive deployment with source code

Overview

KERNEL is a sophisticated React-based framework designed for immersive, scroll-driven storytelling. It blends a 'Terminal-Glass' aesthetic with elite performance, serving as the core engine for high-end digital experiences.

Architecture

Tech Stack

React 19

TypeScript

Vite 6

Tailwind CSS 4

Vercel

Motion Engine

GSAP 3.14

Lenis

Framer Motion

SplitType

Vercel

Engineering Decisions

  • GSAP Viewport Pining — A critical viewport override was implemented—enforcing overflow-x: hidden strictly on the <html> tag—to prevent positioning recalculation errors and broken layouts during complex fixed-pinning phases.

  • Lenis Integration — Synchronized native GSAP scroll triggers with Lenis to ensure ultra-smooth, deterministic hardware-accelerated interpolation.

  • Audio-Active Sensory Loop — Implemented real-time synchronization between the user's scroll velocity and ambient acoustic humming for deep immersion.

Design System

Color Palette

  • #0a0f1a — Void Navy (Deep atmospheric canvas)

  • #00ffcc — Neon Cyan (Primary interactive pulse)

  • rgba(0,255,204,0.2) — Translucent Accent (Glass layers)

Typography & Grid

Playfair DisplayAa Bb Cc — The quick brown foxHigh-fashion editorial narrative and display headers
JetBrains MonoAa Bb Cc — The quick brown foxSystem logs, data UI elements, and technical diagnostics
  • Blueprint Geometry — Relies on a strict 40px background grid generated purely via CSS linear-gradients to maintain the technical schematic aesthetic.

Applied AI Engineering

This project serves as an exercise in rapid prototyping via strict LLM constraint prompting. To prevent AI component hallucination, a rigorous Master System Prompt was engineered to lock the model into specific DOM architectures, responsive breakpoints, and motion physics. You can view the raw AI Directive used for this build by clicking the Skills.md button at the top of this case study.