Feedly
Inoreader
NewsBlur
Flipboard
Reeder
Tiny Tiny RSS
The Old Reader
FreshRSS
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Feedly
DeepnoteDeepnote might be a bit more popular than Feedly. We know about 34 links to it since March 2021 and only 28 links to Feedly. 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.
This runs every 30 minutes, automatically bookmarking articles matching your interests. It's similar to the AI filtering feature that Feedly offers in Pro+ ($12.99/month), achieved here with MCP + /loop. Feedly's Leo AI is a Pro+ feature, and translation requires Enterprise ($1,600/month+). - Source: dev.to / 4 months ago
RSS didn't die, though. Feedly picked up 8 million new users in the weeks after Reader shut down. Inoreader, Miniflux, FreshRSS, NewsBlur, and dozens of others filled the gap. Feedly alone now has over 15 million registered users. - Source: dev.to / 5 months ago
Feedly is the most popular RSS reader with over 14 million registered users. Its AI assistant "Leo" can prioritize, summarize, and deduplicate articles based on your interests. If your goal is staying on top of industry news from trusted sources, Feedly with Leo is powerful. - Source: dev.to / 5 months ago
Feedly Https://feedly.com/ One of the most popular RSS readers. Available on web, iOS, and Android. Easy to use and great for organizing feeds into folders. The free plan is more than enough for most developers. - Source: dev.to / 7 months ago
Implement automated tracking: Set up alerts for pricing changes, feature updates, and new content launches. While you can track competitors manually using Google Alerts and Feedly, tools like TrackSimple eliminate the 12 hours/week time drain by monitoring competitor websites, social media, and review sites automatically. - Source: dev.to / 8 months ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Inoreader - Dive into your favorite content. The content reader for power users who want to save time.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Flipboard - Your Personal Magazine. Find, follow and flip stories that change your world.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.