Launched this week
Clusy
AI notebook platform for modern data science
166 followers
AI notebook platform for modern data science
166 followers
Clusy is an agent-native notebook platform for researchers and data teams to build, branch, run, and evaluate ML and data science workflows in the cloud. Describe a goal in natural language, and Clusy plans the workflow, sources datasets, preprocesses data, runs parallel experiments in replicated kernels, compares model architectures, and helps produce optimal models through a human-in-the-loop notebook experience.
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Tried branching a quick experiment and the parallel kernels saved me a ton of switching time. The natural language goal setup actually picked a reasonable baseline model for my dataset.
The idea of branching notebooks like git repos is something I've wanted for years. Mixing that with parallel experiments in replicated kernels means finally getting a real comparison view without copy-pasting cells everywhere.
The branching experiments workflow feels like the standout feature here, finally a clean way to compare model variants without losing track of versions. Setup was smooth and the parallel kernel runs saved me real time on a small benchmark.
Very interesting! I first thought Claude Science is a threat to your product, but now I realise that you are targeting a very different niche - ML engineers and data scientists. Really excited about it!
bro loved the idea , but try to make demo video more attention grabbing i didn't even watched the whole video so guess what most people won't.
Clusy
@divvsaxena thanks for the feedback, that makes sense! I will record a new version and share it soon on our X account: https://x.com/clusyio
The branching notebook workflow is a really sharp call, letting us fork experiments without losing state feels like how ML work should actually flow.
Eldar, having an assistant right there while I stay in the driver's seat is exactly what I would want from a notebook. So much of this work is fiddly setup and dead ends, and smoothing that out sounds great to me.