
Clusy | Agent-Native Notebook for ML and Data Science
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
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Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

AI workspace for teams to automate workflows, chat with an assistant, analyze data, and manage projects.
@HonEmmi · X
I'm working on Neuralflow Ai It acts as an AI workspace where teams can automate workflows, chat with an AI assistant, analyze business data, summarize documents, manage projects, and collaborate from one central platform.

@Joi2James https://t.co/EX6jR2itEt https://t.co/sXaN7QuPuY
@SamEkeNnamdi · X

Interactive machine learning concepts — edit the input data, read the formula with your own numbers substituted into it, and step the algorithm one iteration at a time.
@Lovepre23243941 · X
Most ML explainers give you a diagram. I built one where you edit the data and the formula rewrites itself with your numbers. 42 concepts — k-means, backprop, HMMs, spectral clustering. no signup ,

Extract structured data from PDFs automatically using AI for automated workflows.
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

Upload datasets, configure preprocessing, train and compare machine learning models, test predictions, and export artifacts without writing Python.
@diksaalab · X

Explore datasets, compute statistics, visualize distributions, and run inferential tests.
@DaytonaRaised · X
Check out what I just built with Lovable!

Ingest, explore, and analyze datasets with autonomous data processing in an interactive workspace.
@kashyap_ai · X

Ask questions to get visual answers as tables, charts, and flows instead of text.
@butmatthew17 · X
just check it out completely for free

Paste n8n or Make workflow JSON to get an instant analysis report on reliability, cost, and security.
@dash12_dev · X
analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.

AI code review that cuts through the noise to show only findings that matter.
@polsia · X
You can ship a vibe-coded app by lunch. You can also ship a vibe-reviewed bug by Friday. Pullflow reads the PR nobody else bothered to open.