Hey HN - spending time adding machine learning to your product is almost never worth it for startups.
Formulating the problem, managing training data, training models, serving them, etc... for a 10% increase in some metric just isn't worth the time. Using rules + heuristics, although not optimal, does a pretty good job for a long time.
There should be a better solution between rules & hardcore ML -- an 80/20 way to add ML to any product. Just slap it on top of the rules you already have, get that 10% gain, and never think about it again.
I built an API that does just that. It's used by a few companies to do everything from shopping cart recommendations to personalized landing page hero text. It takes 10-20 lines of code to implement.
I'd love for anyone in the HN community to kick the tires on this and let me know what you think. Docs are at https://www.banditml.com/.
You can even use this api key immediately without an account to test it out: 1e9d8ef7948e545d25f189addb17dae1.
Formulating the problem, managing training data, training models, serving them, etc... for a 10% increase in some metric just isn't worth the time. Using rules + heuristics, although not optimal, does a pretty good job for a long time.
There should be a better solution between rules & hardcore ML -- an 80/20 way to add ML to any product. Just slap it on top of the rules you already have, get that 10% gain, and never think about it again.
I built an API that does just that. It's used by a few companies to do everything from shopping cart recommendations to personalized landing page hero text. It takes 10-20 lines of code to implement.
I'd love for anyone in the HN community to kick the tires on this and let me know what you think. Docs are at https://www.banditml.com/.
You can even use this api key immediately without an account to test it out: 1e9d8ef7948e545d25f189addb17dae1.