Track Machine Learning Research & Updates Efficiently

Stay ahead in ML without drowning in arXiv papers. Get personalized summaries of breakthrough research, model releases, and framework updates.

10 free credits. No card required.

Common challenges

Hundreds of ML papers published daily on arXiv - impossible to read them all

Following dozens of ML researchers, labs, and companies across different platforms

Missing important model releases, dataset updates, and framework improvements

Knock monitors ML research papers, model releases, framework updates, and benchmark results - delivering only what's relevant to your ML focus areas.

Track research in your areas: NLP, computer vision, RL, generative AI, etc.

Get AI-generated summaries of important arXiv papers and research

Track new model releases, datasets, and benchmark results

Stay updated on PyTorch, TensorFlow, JAX, and other ML framework changes

Simple setup. Powerful results.

Select ML domains, frameworks, and research topics you want to track

Our AI scans arXiv, conferences, GitHub, and ML company blogs

Get personalized ML research summaries and model updates

ML engineers tracking model architectures and training techniques

Data scientists following new ML tools and libraries

ML researchers staying current on papers in their subfield

PhD students tracking research trends for their dissertation

AI product managers understanding ML capabilities and limitations

MLOps engineers following deployment and serving innovations

Research scientists tracking benchmark improvements

ML educators curating content for courses and workshops

Join professionals who track what matters without the noise.

10 free credits. No credit card required.