On: Show HN: Flight Search on steroids: find better flights through Machine Learning

[dribel]

@cneumann81 thanks for trying tripdelta. A few examples that might explain what we do differently.

-We find hidden flights by combining rival airlines (https://tripdelta.com/results/SFO/LON/28-10-15)

-Our smart area search looks at every airport near your start and destination and checks every single combination to find better alternatives (https://tripdelta.com/results/FKB/BOH/01-10-15/ )

-We split your return flights into open jaw tickets (https://tripdelta.com/results/SFO/YVR/11-09-15/YVR/SFO/13-09... )

-Wanna do a short world trip? Better check this one out (https://tripdelta.com/results/SFO/BER/18-09-15/BER/DXB/25-09...)

I hope this explains what we do ;).. If you have any more questions, let me know

[cneumann81 → dribel]

Interesting, but how does this translate into concrete savings for me? Any concrete examples?

[elmalto → cneumann81]

Of course. Look at the San Francisco to Vancouver (return) example:

Regular: SFO - YVR: $385 Tripdelta: Oakland - Bellingham (two tickets): $164

You save $221 by picking two airports that are, by locals, considered good airports (I live in Vancouver, we all use Bellingham!)

The great thing is: Even when you're not a local, you just enter Vancouver, and we know about it!

[cneumann81 → elmalto]

Thanks for pulling this out. Even though I assume this is a best case example, savings in that are interesting for sure. Will check you guys out for my next booking!

[nlanges → cneumann81]

Thanks for that. Actually, the example above does not showcase a unique flight combination but something like this happens rather often. I hope next time you check it out you'll face something similar.

Let us know about it ;)