marimo Reviews

Profound Reviews

1. andreazubeth

   4 months ago
   Strong platform for AI visibility and brand monitoring

   Profound gives a useful way to understand how brands appear across AI search and generative platforms. The platform helps surface visibility patterns, competitor presence, and broader shifts in how AI systems reference brands. What I like most is the growing importance of this category, because traditional SEO tools do not fully capture how AI mentions and recommendations work. The main area that could improve is the user interface, which could feel more intuitive and polished in some workflows. Overall, Profound is a valuable platform for teams that want to monitor and understand brand presence in AI-driven search environments.

   🏁 Competitors: Scrunch AI, Ahrefs, SimilarWeb, Peec AI

marimo mentions (15)

• Pluto.jl 1.0 release – reactive notebook for Julia

  Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago

• Show HN: I'm tracking 197 known exposures of health data from UK Biobank

  Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago

• Why DuckDB is my first choice for data processing

  Agree with the author, will add: duckdb is an extremely compelling choice if you’re a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) … and that’s just one example of many. - Source: Hacker News / 7 months ago

• Building SSR-Friendly Avatars with In-Browser AI: How I Trained Python Models and Ported Them to TensorFlow.js

  The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago

• Installing & Working with Python - in Ubuntu 24.04

  Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago

Profound mentions (0)