TrailLayers

New: AI garment recognition, personalized performance insights, and Apple Intelligence layering summaries. Know what to wear before you head out.

TrailLayers helps outdoor enthusiasts build smarter kits.

Log every run, hike, and adventure with the exact gear you wore. Track how each garment performs in different weather and conditions, then use that history to make better gear decisions before your next trip.

GEAR CATALOG • Build a detailed catalog of your outdoor garments: tops, bottoms, outerwear, footwear, and accessories • Capture brand, material, insulation level, waterproofing, and wind resistance • Add photos with automatic AI-powered background removal • Use AI photo recognition to auto-fill garment details — category, color, and material — from a single image

OUTFIT BUILDER • Create reusable outfits from your gear catalog • Tag outfits with intended activity type • Share outfits via link — anyone can preview your photo and garment list in a browser, no app required • Browse shared outfits from other users and save them to your own library

ACTIVITY LOG • Log every outdoor activity with the outfit or individual garments you wore • Record temperature, weather conditions, effort level, and location • Rate your overall comfort and flag specific issues: too hot, too cold, too wet, too windy • Add notes and photos • See comfort and weather trend summaries — "you ran hot in this outfit 3 of 4 times"

PERFORMANCE INSIGHTS • See a full performance history for every garment and outfit • Track average comfort ratings, common issues, and temperature ranges • View garment counts by category, most-used outfits, and activity type breakdowns • Identify gear that consistently works — and gear that lets you down

PUBLIC PROFILE • Make your profile public to share your gear and outfits with the world • Your shared outfits are visible at traillayers.app — no app required to browse

TrailLayers is built for hikers, trail runners, backpackers, and skiers — anyone who takes their outdoor kit seriously and wants data to back their gear decisions.