Congrats on the launch! This looks interesting, however I feel like this space is quite crowded. You mentioned that your most important feature is the fact that you are open-source, but off the top of my head I can think of several projects:
* Kubeflow: https://github.com/kubeflow/kubeflow
* MLFlow: https://github.com/mlflow/mlflow
* Pachyderm: https://github.com/pachyderm/pachyderm
* DVC: https://github.com/iterative/dvc
* Polyaxon: https://github.com/polyaxon/polyaxon
* Sacred: https://github.com/IDSIA/sacred
* pytorch-lightning + grid: https://github.com/PyTorchLightning/pytorch-lightning
* DeterminedAI: https://github.com/determined-ai/determined
* Metaflow: https://github.com/Netflix/metaflow
* Aim: https://github.com/aimhubio/aim
* And so many more...
In addition to this list, several other hosted platform offer experiments tracking and model management. How do you compare to all of these tools, and why do you think users should move from one of them to use replicate, thank you.