life, Sport

Weather 4 Bike: From Forecasts to Ride Decisions

Why

Most weather apps just tell you the numbers—temperature, wind, UV, etc.—but as cyclists, we need to know what those numbers mean for the ride.

Weather 4 Bike bridges that gap: it translates raw weather forecasts into clear, activity-aware guidance for road, gravel, and MTB. With one glance, you know whether to head out, wait, or change routes.


What

  • Smart ride scoring (1–10) with plain-language recommendations
  • Forecast views: current, hourly (next 24h), and 7-day cards
  • Location aware: auto-detects your city, with search + recents for flexibility
  • Biking Conditions panel: key factors plus collapsible details for deeper insights
  • Clean design: dark mode, responsive layout, mobile-friendly navigation

How the scoring works

Scores start at 10, then deduct points based on real-world cycling factors:

  • Wind – Penalized by speed; road cycling also factors in direction (head/tail/crosswinds).
  • Temperature – Ideal range: 15–25 °C. Above 30 °C penalties increase; above 35 °C it can drop to “no-go.”
  • Humidity – Above 90% caps the overall score lower.
  • Visibility – Below 10 km reduces the score; heavier penalties under 5 km and 2 km.
  • UV index – High UV adds a deduction and recommends early/late riding.

The details panel breaks down exactly why a score was given, so riders understand the recommendation rather than just taking a number at face value.


Tech stack & architecture

Lightweight and modular for speed and clarity:

  • HTML + Tailwind CDN – quick styling and iteration
  • Vanilla JS modules for clean separation of logic:
    • weather.js: fetch, parse, and format data from Open-Meteo
    • location.js: geolocation, geocoding, recents, last-used persistence
    • insights.js: scoring algorithms and safety checks
    • app.js: UI state, rendering, events, icons, Unsplash banners
  • Static icons served directly with graceful fallbacks

Data sources

  • Forecasts: Open-Meteo (hourly + daily, no key needed)
  • Geocoding: Open-Meteo search + BigDataCloud reverse lookup
  • Banners: Unsplash API (cycling and mountain landscapes)

UX highlights

  • Current conditions: large temperature, concise meta (wind, UV, updated time)
  • Activity insights: score chip with contextual color + expandable details pane
  • Hourly forecast: scrollable, icon-driven timeline
  • Daily forecast: compact 7-day grid
  • Mobile ready: hamburger menu keeps header controls simple

Accessibility & performance

  • Fully keyboard-navigable, with ARIA states and dark-mode high contrast
  • Lightweight, framework-free build with minimal blocking scripts

Deployment

It’s a static site—GitHub Pages works instantly:

  • Include .nojekyll so assets serve properly
  • Enable Pages on the branch root and you’re live

Quick start (local)

python3 -m http.server 9000

then open http://localhost:9000/


What’s next

  • Route-aware wind: adjust scores based on planned direction
  • Rider preferences: personal heat/cold sensitivity sliders
  • PWA mode: offline cache and installable app
  • Trail & radar layers: MTB trail status + live radar overlays

Btw, it’s under MIT license – so feel free to help and improve it.

Closing thoughts

Weather 4 Bike reframes weather around what cyclists truly care about:

  1. Can I ride?
  2. How good will it be?

By translating raw data into scores, alerts, and recommendations, it shortens the gap between “what’s the forecast?” and “should I ride now?”


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