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PadWise

Demo

PadWise is a gamer-first mousepad recommender that produces a clear shortlist in ~60 seconds.

No hype. No affiliate bias. No “one pad fits all”.

A small quiz → a ranked result with concrete reasons.

Live: https://padwise-blush.vercel.app


Overview

Choosing a mousepad is context-dependent:

  • game type changes optimal friction profile
  • sensitivity affects required glide and size
  • humidity can alter cloth behavior dramatically
  • budget constraints narrow viable options

PadWise models these factors with a simple, transparent scoring system.


Features

  • 6-question decision flow
  • Ranked recommendations (top matches first)
  • Human-readable rationale for each pick
  • Dataset of widely used pads across price tiers
  • Runs entirely client-side (no accounts, no telemetry)

How it works

PadWise applies heuristic scoring across several dimensions:

  • Feel match — closeness to target speed/control balance
  • Game bias — tactical FPS vs tracking-heavy titles
  • Sensitivity bias — glide and size requirements
  • Environmental factors — humidity resistance
  • Budget alignment — soft penalties outside selected tier
  • Availability — size compatibility

The result is a practical ranking, not a laboratory benchmark.


Dataset

Each entry contains approximate attributes such as:

  • speed / control balance
  • humidity resistance
  • durability
  • surface material and sizes
  • price tier

Values are normalized for comparison consistency.


Technology

  • Next.js (App Router)
  • TypeScript
  • Tailwind CSS

License

MIT

About

Gamer-first mousepad recommender — 60s quiz, ranked results with reasons.

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