That all the opportunities are available even open-source. There are several mini projects that are well documented and well explained so it is easy to understand the structure. It's also nice that the interfaces are just easy to understand. I really like the construction heuristic. You can very quickly get a result when you need something instantly. The more time you give, the better results you get. Review collected by and hosted on G2.com.
While I think all the features are well documented, I would really love to see more examples beyond the mini GitHub projects. Like a series about how you would build a more complex system from scratch. Review collected by and hosted on G2.com.
Thank you for such a thoughtful review. it's brilliant to hear you're putting Timefold to work on a public transport scheduling optimizer. That's exactly the kind of high-impact problem we love seeing people take on.
Great call-out on the construction heuristics, too. Getting a usable result instantly and then watching it improve the longer you let it run is one of our favorite things about how the solver works, so it's nice to hear that clicked for you.
Your point about wanting more than the mini projects is well taken. A series on building a more complex system from scratch is genuinely useful feedback, and exactly the kind of content we'd like to do more of. In the meantime, our community on discord (https://discord.gg/976RcEVVHW) are a great place to go deeper with others tackling similar problems. And if you're ever up for sharing how your transport optimizer came together, that's the kind of real-world build a lot of people would learn from and what we would love to write a use case about. Thanks for being part of the community!