TREK vs Wanderboat AI

TREK is a self-hosted travel planner for organizing trips collaboratively in real time. Users can arrange places by day, optimize routes by distance, and send a day to Google Maps for turn-by-turn directions. Collaborators can edit itineraries together, see live presence, chat, run polls, track attendance, and share read-only public links. Reservation records hold confirmation numbers, files, and statuses for flights, stays, and restaurants. Budgets support multiple currencies and per-person or per-day totals; packing lists include templates and item assignments. OpenStreetMap is the default place search, Google Places is optional, and 16-day forecasts use Open-Meteo without API keys. Optional addons include travel statistics, vacation planning, journaling, and MCP integration. TREK runs on operator-controlled hardware, stores trip data in a SQLite file, and supports scheduled snapshots with retention policies. It can be installed as a PWA and has deployment documentation for Docker, Kubernetes, Unraid, Proxmox, Raspberry Pi, and Apple Silicon, with AMD64 and ARM64 images. It is open source under AGPL-3.0 and free for personal and internal company use.

Wanderboat AI is a free AI-powered guide for discovering dining, travel and lifestyle options. Users can search by mood or occasion and ask where to go, including for a nearby first date. The service creates one-click night itineraries, shows place photos and videos, and provides an interactive map of trending nearby spots. Categories include local eats, nightlife, live events, outdoor activities, and arts and culture. Listed travel sources include Airbnb, Expedia, Kayak, Booking.com, Hotels.com, Viator and Fever. Dining reservations or delivery connect with Resy, OpenTable, Tock, DoorDash, UberEats and Fantuan. Availability names New York City neighborhoods, Los Angeles, San Francisco, Chicago and Boston, with more locations added daily. Wanderboat runs on Android, iOS and the web, with Google Play and App Store listings. The App Store history describes Tesla destination sharing through deep links. Google Play says data is encrypted in transit and deletion requests are supported, while noting possible collection and sharing of personal, file, device and performance data.