Use AI-powered flight price predictions to know if fares will rise or drop — so you can book at the lowest price. Get insights on the best time to buy and never overpay for your next flight.
For the past seven years, I’ve been building a travel chatbot that finds cheap flights and tracks airfare prices. Over time, it has grown to 2 million+ subscribers. Since price tracking has always been at its core, I’ve learned a lot about airline pricing trends and patterns.
Now, with that knowledge + the power of AI, we’ve built something new: a service that predicts how flight prices will change — helping you buy at the right time and save money. Our algorithm analyzes historical flight data alongside factors like seasonality, airline pricing strategies, route popularity, day of the week, and more.
🎯 How accurate is it? Pretty damn accurate! Of course, no one can guarantee a 100% hit rate — there are always unpredictable variables. But based on our testing, it rarely misses. We’re also continuously monitoring and refining the algorithm to make it even more precise.
✨ Try it out and let us know what you think! Your 📩 feedback is incredibly valuable to us.
I worked on this product as an engineer, and I’m excited to see the first iteration go live. It’s a relief, but definitely not the end of the road — there’s still a lot ahead!
Some challenges I faced:
- Combining predictive algorithms with AI forecasts
- Testing different approaches and AI integrations
- Fear of Skynet 😆
We’re already planning to roll out new features and refine the prediction algorithm in the near future.
@agilek AI can forecast price changes due to different factors like holiday seasons or economic events etc. On top of it we are also able to calculate specific flights price changes via our predictive algorithms (calculations based on minimum month price, mistake fares, amount of competitive flights with same price and much more). So combining it all together was one of big challenges.
AirTrack 3.0
🚀 Hi Product Hunt!
For the past seven years, I’ve been building a travel chatbot that finds cheap flights and tracks airfare prices. Over time, it has grown to 2 million+ subscribers. Since price tracking has always been at its core, I’ve learned a lot about airline pricing trends and patterns.
Now, with that knowledge + the power of AI, we’ve built something new: a service that predicts how flight prices will change — helping you buy at the right time and save money. Our algorithm analyzes historical flight data alongside factors like seasonality, airline pricing strategies, route popularity, day of the week, and more.
🎯 How accurate is it?
Pretty damn accurate! Of course, no one can guarantee a 100% hit rate — there are always unpredictable variables. But based on our testing, it rarely misses. We’re also continuously monitoring and refining the algorithm to make it even more precise.
✨ Try it out and let us know what you think! Your 📩 feedback is incredibly valuable to us.
AirTrack 3.0
@masump Thanks, Masum! We’ll keep improving it to make predictions even more insightful and accurate. This is just the beginning
Streos
@kravchukmykola That would be a great help for frequent travelers to save a lot. Congrats on the launch!
AirTrack 3.0
@dineshan_sithamparanathan Thank you, Dineshan!
@kravchukmykola I love the entry point of this product! Congratulations!
AirTrack 3.0
@flytothemars163 Thank you!
ManyExcel
I worked on this product as an engineer, and I’m excited to see the first iteration go live. It’s a relief, but definitely not the end of the road — there’s still a lot ahead!
Some challenges I faced:
- Combining predictive algorithms with AI forecasts
- Testing different approaches and AI integrations
- Fear of Skynet 😆
We’re already planning to roll out new features and refine the prediction algorithm in the near future.
I’d love to hear any feedback or criticism! 🙂
AirTrack 3.0
@den_lish Thanks! Let’s see how it goes :)
@den_lish Hey, what is the difference between predictive algorithms and AI forecasts?
ManyExcel
@agilek AI can forecast price changes due to different factors like holiday seasons or economic events etc. On top of it we are also able to calculate specific flights price changes via our predictive algorithms (calculations based on minimum month price, mistake fares, amount of competitive flights with same price and much more). So combining it all together was one of big challenges.
This is a timely product for me. I’ve been looking at flight tickets recently but hesitated to buy them. Good luck to your launch!
AirTrack 3.0
@evakk Thanks ☺️