Tryp.com is a Denmark-founded travel app (2021) that uses AI to build bookable trip “packages” by stitching together flights, trains, buses and ferries, then optionally adding hotels or apartments. In this interview, the team says the product serves 4M+ users and is meant to replace hours of manual Google Flights + OTA comparison with a single checkout and a unified trip timeline for confirmations and trip data. https://www.tryp.com/
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Under the hood, this is a multimodal itinerary search problem: you model routes and schedules as a graph, apply fare rules and availability constraints, then run a combinatorial optimizer to surface chains (direct, one-way, multi-city, or hop-around loops). Tryp.com describes monitoring on the order of ~80M transport options across air/rail/bus, then ranking combinations by price, travel time, and user constraints. The key UX trick is flexibility: search anywhere/anytime, or constrain by a date range and trip length (like “under a week”) and let the engine enumerate a route set.
Once a trip is selected, Tryp.com shows a cost breakdown for transport and accommodation, plus filters to keep the stay type aligned with your preferences (e.g., hotels vs hostels, or apartments via large OTA partners like Booking.com rather than direct Airbnb inventory). In the interview filmed at Web Summit Lisbon 2025, Andre also highlights the operational layer: booking flow, optional hotel add-ons, and getting boarding passes into email and the app, including automated check-in on supported flights, so travel day becomes mostly execution and that stabilizes the workflow.
Business-wise it’s positioned as free-to-use for travelers, with monetization coming from partner economics (affiliate/commission mechanics) while aiming to keep pricing competitive, and the company was reported to have raised €3.1m in early 2025 to scale. The team is distributed across Denmark and multiple EU hubs, which fits the product’s focus on European low-cost carriers plus cross-border rail, where “the best route” is often a data problem, not a destination problem.
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