Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
Clusy is an agent-native notebook platform for ML and data science. You describe the outcome in plain language, and the agent plans, writes, and executes notebook cells on cloud compute, returning results you can inspect and edit. Loved by researchers and engineers, backed by Founders, Inc.
Clusy | Agent-Native Notebook for ML and Data Science
Do yourLoRA fine-tunein one prompt.
Describe the outcome you want. Clusy helps source data, inspect it, select architecture and compute, then execute end-to-end.
Try it out
Backed byFounders, Inc.
Testimonials
Loved by researchers and engineers
We’ve been using Clusy to post-train open-weight models for our coding agent system, and it’s been working really well for us. It has made the workflow much faster and saved our team a lot of time compared to doing everything manually.
Brandon TautuanCo-Founder & CEO @ Zilix
I haven’t seen many tools that can handle the full LLM fine-tuning workflow end-to-end — dataset discovery, preprocessing, sandboxed training, parallel experiments — all from a single prompt.
Avidan ShahMATS Research Fellow · Red-Teaming Contractor @ OpenAI
With a single natural language prompt, it completed a full ML workflow — finding public datasets, reproducing a model from a paper, and running experiments. Clusy has the potential to redefine the workflows of many researchers.
YZ PanPostgrad Researcher @ Tsinghua University
It autonomously fetched the data from a public OSF dataset, handled it perfectly, and pointed out edge cases without me instructing it to. I really loved the end-to-end reasoning — I only needed to minimally guide it.
Milana GurbanovaAI Research @ Stanford
Clusy can handle the entire pipeline: fetching relevant training data, cleaning it, trying different model architectures, and training the model on the cloud. It’s amazing.
Roni KazmirciIncoming Product Engineer @ Incident.io
I used Clusy for idea validation and market research, and it produced very insightful results, finding exactly what I was looking for. I can see a variety of use cases for engineers and researchers.
Sanzhar AbatovMechanical Engineer @ KLA
I really enjoyed the platform layout and look :)) it looks very easy to manage a project.
Meltem SuResearch Specialist @ Innovative Genomics Institute
We’ve been using Clusy to post-train open-weight models for our coding agent system, and it’s been working really well for us. It has made the workflow much faster and saved our team a lot of time compared to doing everything manually.
Brandon TautuanCo-Founder & CEO @ Zilix
I haven’t seen many tools that can handle the full LLM fine-tuning workflow end-to-end — dataset discovery, preprocessing, sandboxed training, parallel experiments — all from a single prompt.
Avidan ShahMATS Research Fellow · Red-Teaming Contractor @ OpenAI
With a single natural language prompt, it completed a full ML workflow — finding public datasets, reproducing a model from a paper, and running experiments. Clusy has the potential to redefine the workflows of many researchers.
YZ PanPostgrad Researcher @ Tsinghua University
It autonomously fetched the data from a public OSF dataset, handled it perfectly, and pointed out edge cases without me instructing it to. I really loved the end-to-end reasoning — I only needed to minimally guide it.
Milana GurbanovaAI Research @ Stanford
Clusy can handle the entire pipeline: fetching relevant training data, cleaning it, trying different model architectures, and training the model on the cloud. It’s amazing.
Roni KazmirciIncoming Product Engineer @ Incident.io
I used Clusy for idea validation and market research, and it produced very insightful results, finding exactly what I was looking for. I can see a variety of use cases for engineers and researchers.
Sanzhar AbatovMechanical Engineer @ KLA
I really enjoyed the platform layout and look :)) it looks very easy to manage a project.
Meltem SuResearch Specialist @ Innovative Genomics Institute
Product
How it works
A compact case study: ask Clusy to finetune a model, queue a follow-up while it works, then watch the notebook execute and return a result.
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FAQ
Frequently asked questions
What is Clusy?
Clusy is an agent-native notebook platform for machine learning and data science. You describe the outcome you want in plain language, and the Clusy agent plans the work, writes and runs notebook cells on cloud CPUs or GPUs, and returns results you can inspect, edit, and re-run. Every step stays visible in a real notebook, so you keep full code-level control.
How is Clusy different from Jupyter or Google Colab?
Traditional notebooks give you an empty editor; Clusy gives you an agent that does the work in the notebook with you. It sources and inspects data, selects architecture and compute, executes end-to-end, and supports branching so you can fork a notebook and compare experiments side by side. The output is still a real notebook you can read, edit, and share.
Which AI models can I use in Clusy?
The Free plan includes the Auto model for fast, low-cost everyday work. Plus adds open models such as DeepSeek and Kimi. Pro and Max unlock every model, including Anthropic Claude (Sonnet and Opus) and OpenAI GPT.
What GPUs and compute does Clusy provide?
Every plan runs on managed cloud sandboxes. Free starts with an 8 vCPU / 8 GB RAM CPU sandbox. Plus adds entry GPUs (T4, L4, A10) up to 24 GB VRAM, Pro adds mid-tier GPUs (L40S, A100) up to 80 GB VRAM, and Max unlocks top-end H100 and H200 GPUs up to 141 GB VRAM with up to 128 GB sandbox RAM.
Can Clusy connect to my own data?
Yes. You can upload files, pull public datasets from sources like Hugging Face, or connect directly to your Databricks or Snowflake warehouse and work against live tables from the notebook.
Is there a free plan?
Yes. Clusy is free to start — the Free plan includes the Auto model on a CPU sandbox with no credit card required. Paid plans start at $30/month (Plus), with Pro at $90/month and Max at $200/month, all with usage-based allowances and optional pay-as-you-go.