I’m building DestList, a more personalized travel planning system that combines AI with human curation

Hi everyone, I'm a software engineer based in Berlin, and founder of DestList, where I’m building a more personalized travel planning system that combines AI with human curation.

My vision is to build the world’s most personalized travel planning system, one where planning starts with intention rather than logistics.

What makes DestList different is its hybrid approach: we combine the speed and intelligence of AI with the judgment, taste, and care of human curation, so every trip feels personal, well-structured, and ready to book.

What is broken with travel planning in 2026?

Travel planning in 2026 is increasingly turning into a second job, shaped by decision fatigue, generic AI outputs, and growing logistical complexity across borders.

The deeper problem is not a lack of information. It is the opposite. Travellers are navigating too much uncurated input across search, maps, social media, reviews, booking sites, and AI tools, all of which create more options without necessarily creating better decisions. The result is analysis paralysis, fragmented planning, and a travel experience that often starts with stress rather than anticipation.

At DestList, we did not want to build another AI travel agent that simply generates lists. We wanted to explore a different approach, one that responds to the fragmentation of modern travel planning and the impersonality of automated recommendations.

The direction we are exploring is this:

1. Aesthetic & Vibe Mapping (The "Feel" Factor)

Traditional travel search works reasonably well when someone types hotels in Paris, but it struggles when what they are really looking for is a certain atmosphere, pace, or feeling. Travel decisions are often emotional before they are logistical. A more useful planning system should be able to interpret style, mood, and intention, not just keywords and price filters.

2. Human-in-the-Loop Curation

AI can accelerate research, synthesis, and structure. But it still struggles with context, taste, and trust. That is why we believe the strongest model is hybrid. AI can do the heavy lifting across data, but human review remains critical in shaping recommendations that feel relevant, grounded, and realistic.

3. Reducing tab-hopping and fragmented workflows

One of the most exhausting parts of planning is that inspiration, logistics, budgeting, and booking all live in separate places. Travellers jump between social platforms, maps, blogs, reviews, and booking tools, trying to stitch together one coherent plan. That fragmentation is a major part of the problem.

4. Moving from static itineraries to adaptive planning

Traditional itineraries break the moment a flight is delayed or it rains. A better planning system should be adaptive rather than static. If your 2:00 PM walking tour is rained out, the platform automatically suggests an indoor alternative like a gallery or a boutique that matches your specific Style Profile, re-syncing your entire schedule.

5. Better alignment between recommendations and traveler intent

Too often, travel recommendations are shaped by platform incentives rather than actual fit. A more personalized planning experience should prioritize relevance to the traveler, their style, pace, budget, and intent, rather than just popularity or commercial visibility.

Ultimately, the problem with travel planning today is not simply that it is time-consuming. It is that the tools available still do a poor job of translating human intention into a trip that feels coherent, personal, and easy to act on.

That is the gap we believe is worth solving.

👉 Check us out at www.destlist.com and try our free tools including visa check and smart packing tools.

Thanks for your feedback and comments!

This website meets all my travelling needs, really impressive and helpful.

Great project.
I'm trying the tool.

Thumbs up

I have checked it out and the deals there are a combo of what anyone that wants a stressless travel plan will go for.