SkiTomorrow.ai: A Ski Trip Decision Engine Built with Claude Code

✍️ OpenClawRadar📅 Published: March 28, 2026🔗 Source
SkiTomorrow.ai: A Ski Trip Decision Engine Built with Claude Code
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SkiTomorrow.ai is a web application that helps skiers decide where to go by analyzing multiple factors in one place. Instead of manually checking weather forecasts, flight prices, hotel availability, and pass compatibility across different tabs, users input their departure location, budget, travel dates, and snow preferences to get a ranked list of resorts.

Key Features and Technical Details

The engine scores 234 resorts worldwide based on three primary factors:

  • Live Snow Forecasting: Pulls data from four independent global weather models (ECMWF, GFS, GEM, ICON) and compares them in real time. When models agree on a storm, users see a tight snowfall range with a green confidence badge. When models disagree, scores drop and a "forecast could bust" warning appears.
  • Personalized Scoring: Rankings change based on individual inputs. Two people searching the same weekend with different airports, budgets, and pass holdings see completely different results. Cost and forecast confidence are built directly into the scoring algorithm.
  • Pass Integration: If users hold Ikon or Epic passes, lift ticket costs zero out automatically and rankings shift accordingly.
  • Complete Trip Information: Each result shows forecasted snowfall, estimated trip cost (flights, hotel, lift tickets), travel time, and direct hotel booking links.
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Development Process with Claude Code

The developer built the entire application using Claude Code and shared specific insights about the workflow:

  • Edge Case Debugging: The trickiest bugs occurred at system edges, including Supabase silently truncating results at 1,000 rows, SVG files from designers containing mostly invisible canvas space, and cache-busting issues with static assets. Claude Code was effective at diagnosing these once symptoms were clearly described.
  • Prompt Quality Matters: Writing more specific, constrained prompts (e.g., "fix only this, don't refactor anything else, preview locally before confirming") significantly improved output quality over time.
  • Multi-Agent Workflow: The developer would ask Claude chat for the best prompt to fix a specific problem, then have Gemini 3 Pro vet it, resulting in consistently improved prompts.

The tool is live at skitomorrow.ai, free with no account required. Users can search, compare, and book without creating a login.

📖 Read the full source: r/ClaudeAI

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