Notion
Asana
Trello
Obsidian.md
Evernote
ClickUp
Todoist
monday.com
Google Cloud Machine Learning
Scikit-learn
Pandas
NumPy
Dataiku
OpenCV
Exploratory
htm.java
Notion
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It's been very very helpful to streamline different people on our team, especially remote workers to help them understand what's going on in our business without 100s of meetings.
My remote-first start-up has eliminated more than 200+ hours of meetings and 1000s of mismanaged documents because our entire communication happens through Notion.
As someone who's always on the lookout for the perfect productivity app, I was excited to try out Notion. It promises to be an all-in-one tool for everything from note-taking to project management to personal wikis.
From the moment you open Notion, you can tell that it's different from other productivity apps. The interface is sleek and modern, and it's easy to navigate. The app is divided into pages, which can be customized with different templates to fit your needs. You can create to-do lists, databases, wikis, calendars, and more.
One of the things I love about Notion is the ability to create relationships between pages. For example, you can create a database of your favorite books and then link to a page with your book reviews. Or you can create a to-do list and link to a page with notes about the task. This feature makes it easy to keep all of your information in one place and to connect related items.
Based on our record, Notion seems to be a lot more popular than Google Cloud Machine Learning. While we know about 441 links to Notion, we've tracked only 41 mentions of Google Cloud Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Two of the most popular open source note taking app are affine (basically notion but open source) and obsidian (which stores notes in markdown). - Source: dev.to / over 1 year ago
Notion | https://notion.so | Android Engineer | SF | hybrid (in office 2x a week) | Full time- Source: Hacker News / almost 2 years agoLevel: Mid/Mid+ (4-6yrs experience).
Advanced Notion and Google Doc writing editor. - Source: dev.to / about 2 years ago
I manage my non-work and work-adjacent tasks in Notion. Whenever I have an idea, regardless of how big or small or silly or achievable it is, I'll add it to Notion, and use labels to categorise it by type of output (e.g. blog, silly project, website update). Today I wanted to write a short post for my site. I clicked on the filtered blog post view, and selected this one (because I hoped it would be a quick one!). - Source: dev.to / over 2 years ago
Notion.so redefines workspaces. With its intelligent organization and collaboration features, it's more than a productivity toolโit's a digital haven. Discover the art of streamlined and efficient teamwork. - Source: dev.to / over 2 years ago
For developers building on Gemini API or Vertex AI, the practical question is whether Google exposes the rendering signals that power Neural Expressive at the API level - structured output types, response format hints, media embedding signals - so that third-party applications can build the same adaptive rendering behavior rather than always falling back to raw text. That API surface isn't publicly documented yet,... - Source: dev.to / about 2 months ago
TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 3 months ago
Across the five axes, automation depth is functional via API tool-calling. Session persistence is absent outside the Vertex AI ecosystem. Data residency introduces real exposure for regulated workloads. The standard Gemini API routes data through Google's shared infrastructure, and Google's data usage policies may use API inputs for service improvement unless you're under an enterprise agreement with explicit data... - Source: dev.to / 3 months ago
The survivors get sent to Gemini 2.5 Pro on Vertex AI. DeepZero Pipeline Source Code - Contains the Python-based triager, Ghidra extractor script, Semgrep rules, and the LangChain DeepAgents reasoning loop. - Source: dev.to / 3 months ago
VertexAI - Innovate faster with enterprise-ready generative AI. - Source: dev.to / 5 months ago
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
NumPy - NumPy is the fundamental package for scientific computing with Python