How I Used Feedly to Find My New Home
Since moving to LA a few years ago, I’ve had quite the journey of jumping from house to house. About a month ago, it came time for me to finally find a place and set some down some roots. And …
Features and Tutorials
Get Notified of New Articles in Your Feedly
The world moves quickly and with that, there is more demand to stay on top of breaking news before anyone else can get to it. Although Feedly offers you the ability to compile your news sources in one place, many …
6 Ways to Discover Great Content with Feedly
Most of our customers join Feedly in hopes that it can help them become thought leaders who are at the cutting edge of news. But there’s always one problem in accomplishing this at the beginning… How exactly do you find …
How RSS Feeds Will Give You More Efficiency And Control
This article is for my dad, who still isn’t quite sure why he needs an RSS reader. As the internet merges into a conglomerate of algorithms and distraction, it is more important than ever to have control over the information …
6 Easy Steps to Finding More Relevant Content
Creating keyword alerts can be tricky business, especially when the “wrong” search can result can lead to noisy and irrelevant articles. However, if you get the combination just right, you will be smooth sailing to a place of streamlined automation. …
The Lab
Leo Research – Voice / Listen to your Feedly
A few users who are participating in the Leo lab/beta suggested that we should allow you to listen to our articles. As a result, we are running an experiment to determine if there would be value in allowing Leo to …
Experiment 08 – New Compact Magazine View Option
Listening to the murmurs in the Lab Slack channel, it seems that controlling the density of the articles is important to the community. Some users like to see a mix of images with the article summary, some people prefer to …
Experiment 07 — iPad, Power Search, and Paged Scrolling
Experiment 07 comes with 5 different parts we want to share and discuss with you: iPad/Tablet Preview, Power Search, Settings, Paged Scrolling, and Pro upgrade – all on both Android and iOS. iPad and Android Tablet After twelve weeks of …
Article to article swipe
The Mobile+AI Lab is now 4,000 strong! It is an incredible learning opportunity for us. It feels great to see the community actively participate in the key design decisions. The most popular feature request from the past 2 weeks is the …
Experience 06 – New AI-Driven Discovery Experience
We love the Web because it is an open and distributed network that offers everyone the freedom and control to publish and follow what matters to them. We also love the web because it has enabled a new generation of …
First Five Experiments
Over the last five years, we have done lots of small changes to the Feedly Mobile application. All aligned on offering you the best Web reading experience possible. As the mobile app is reaching its end of life. It is …
Bug Hunt Week
The Mobile+AI Lab community is now 392 people strong! This move to a more open and transparent process has been extremely rewarding: we are collecting great ideas and getting instant feedback on some of the bolder changes we are exploring. …
Experiment 05 — Night Mode
Some of you really love to read Feedly at night, or you prefer to read in night mode all day. In Mobile+AI Lab Experiment 05, we have a new night mode theme that turns Feedly into a friendly low-light experience. …
Experiment 04 — Mark As Read
We collected lots of great insights in the last four weeks on people’s mark-as-read workflows. In Experience 04, we are adding to the lab application five different ways to mark articles as read. Option 1. Tap on the check button …
Experiment 03 — Access all your feeds, boards, and sources
We are very grateful for the feedback, ideas, and bugs reported by the Lab community. Thank you for your participation. In Experience 03, we started to integrate some of your suggestions. You can now open the left selector and access your …
Machine Learning
Leo and Collaborative Intelligence
Feedly’s mission is to connect you to the sources you trust so that you can get a deeper understanding of the topics you care about. As trends accelerate and the volume of noise increases, the ability to control your news …
Named Entity Recognition Skill – Leo
At its core, Leo is composed of a set of NLP and ML skills that allows you to train him to read, understand, and prioritize the content of your feeds. One of the first skills we are building is Named …
Learning Context With Item2vec
Feedly’s discovery tool helps you explore topics and sources in different ways. If you search for a topic, we show you related topics to dive deeper. If you follow a new source, we recommend other sources to pair with it. …
The data science behind recommendations in Feedly
One of the web’s greatest strengths is its open and distributed nature. This is also a big challenge: With millions of sites publishing on thousands of topics, how do people navigate that content and discover new trustworthy sources? Our solution …
Transfer Learning in NLP
In our previous post we showed how we could use CNNs with transfer learning to build a classifier for our own pictures. Today, we present a recent trend of transfer learning in NLP and try it on a classification task, with …
Fun With ConvNets (dataviz!)
In January, Jeremy Howard launched the newest iteration of his Practical Deep Learning course. Even if you are an experienced ML practitioner, I really recommend giving these a quick watch (hint: watch at 1.25/1.5 speed until you get confused, then …
Are Python Types Worth All The Extra Typing?
We finally took the plunge and upgraded to Python 3.6 a few weeks ago. One thing that kind of crept up on me was the addition of type hints via the typing module. I’ll admit to not being fully plugged …
Demystifying the GPU
If you’re involved with Machine Learning, or happen to be a NVidia investor, you must have heard that GPUs are critical to the field. But for me, GPUs have always been a bit of a mystery. I had a pretty …
Tricks of the Trade: LogSumExp
There are a lot of neat little tricks in Machine Learning to make things work better. They can do many different things: make a network train faster, improve performance, etc. Today I’ll discuss LogSumExp, which is a pattern that comes …
Getting Started With Machine Learning
Hello! Welcome to the Machine Learning section of the Feedly Blog. We’ve been doing more and more ML work here in the company and thought it would be interesting jotting down some of our thoughts. My background is in software …