Phone Performance vs. Price Reality Check.
Because spending $1,200 on a phone just to scroll Instagram shouldn't require a degree in SoC microarchitecture.
When you try to pick your next smartphone today, you're usually met with:
- TechTubers Reading Spec Sheets
15-minute videos screaming "THIS CHANGES EVERYTHING!" while literally reciting the GSMArena specs page back to you. - Raw Benchmark Sites in a Vacuum
Sites showing a 5% higher Geekbench score on a top bar graph without mentioning the phone costs 3x more. - Ecommerce Buzzwords
Listings hiding mid-range chipsets under "Ultra Deca-Core Turbo Speed Max" branding.
APU Matrix maps real market pricing directly against verified raw performance metrics on interactive scatter plots.
High Performance │ [ Flagship Value ]
│ * Phone A (INR 45,000)
│ * Phone B (INR 85,000)
│ [ Overpriced ]
Low Performance └─────────────────────────────────────────
Low Price High Price
- 📊 Price-vs-Performance Scatter Plots: Visually pinpoint which phones deliver peak hardware value vs overpriced hype.
- ⚡ Multi-Metric Normalization: Geekbench 6 (Single/Multi), Geekbench AI (Quantized), and AnTuTu GPU/CPU scores.
- 🎨 APU Lattice Canvas: Interactive 3D WebGL SoC visualization hero banner.
- 🎯 No-BS Filtering: Filter by processor family (Snapdragon, Dimensity, Exynos), price tier, and phone generation.
💡 Tip for Contributors: Drop a screenshot or demo GIF at
public/images/dashboard-preview.pngto display your UI preview here!
# 1. Install dependencies
bun install
# 2. Run dev server
bun devOpen http://localhost:3000 in your browser.
- Framework: Next.js 16 (App Router) + React 19
- Charts: TanStack Charts & D3
- 3D Hero: Three.js / WebGL
- Styling: Tailwind CSS v4 + Lucide Icons
- Analytics: Vercel Analytics & Speed Insights
