Kaviqa
Find cheaper ways to book expensive flights
What it does
Kaviqa helps travellers find cheaper ways to book expensive flights. It searches beyond the obvious itinerary, comparing alternate departure cities, positioning flights, split tickets, stopovers and mixed-cabin combinations. Some searches surface options 30 to 40% lower than the normal fare. Every result shows the route, price, timing, booking steps and risks so you can decide whether the saving is worth the extra complexity before booking with the airline or provider.
Kaviqa checks alternate origins, flexible dates, positioning flights and split-ticket options, then shows the price difference and tradeoffs before you book.
Kaviqa checks positioning flights and split tickets, then shows you the saving and the catch side by side. Historical examples only. Search your dates to see observed fares, then verify an exact itineraryfrom kaviqa.com
Does the same job
all alternatives →
- CFCheaper flights when flying multiple destinations by route optimisation2017 · skysave.co · ▲120




More life & fun this month
the category →- TL
Life & fun · 10d ago · louisabraham.github.io



Photosynthesis fires two of your iPhone
Life & fun · 29d ago · photosynthesis.camera
- CCCreatium Coach▲320
Your multimedia mentor that takes you from mid to great
Life & fun · 11d ago · producthunt.creatium.info
SoloUno▲310Take control of hair pulling, nail biting & skin picking
Life & fun · 28d ago · solouno.io
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com