Awesome tool! Congrats on shipping it. How hard is it to train it on a new language? I am training a classifier on finding similar documents, and I am facing a hard time labeling the data. This tool might be what I was looking for!

Thanks for hunting Prodigy – happy to share it with the ProductHunt community today! ✨ My co-founder Matt and I are mostly known for our open-source software – we're the makers of spaCy, a popular Python library for Natural Language Processing. Prodigy is our first commercial product. We started beta testing it earlier this year, and hundreds of testers and five versions later, v1.0 is finally ready. Prodigy addresses one of the biggest problem that AI developers have been facing: sooner or later, you'll always need labelled data – whether it's for training a new model, improving an existing model's prediction or just for evaluation. And in many cases, you won't know whether an idea works until you try it (and usually, that involves writing lengthy annotation manuals and scheduling too many meetings). Prodigy lets developers and data scientists iterate on both the code *and* data by putting the model in the loop to suggest the most relevant examples, and reducing the annotation to a simple, binary decision: acccept or reject. To see Prodigy in action, you can try the live demo: https://prodi.gy/demo Or read more about the philosophy here: https://prodi.gy/docs Btw: Prodigy is a downloadable tool that you extend with code – it runs on your own hardware, and no data ever needs to leave your servers.