Based on our record, Peerlist should be more popular than Parse.ly Analytics. It has been mentiond 13 times since March 2021. 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.
Since this is a developer community, would appreciate some feedback about the product. It's available on peerlist.io. Source: 9 months ago
These days I’m reading the book Sapiens by Yuval Noah Harari where I came across a very interesting concept of how people and communities work. They are formed because peoples with the same mindset, goals, and Notions come together for a purpose of sharing experiences, knowledge and all good/bad things happening in their lives. It is rooted in common myths that exist in people's collective imaginations. But one... - Source: dev.to / over 1 year ago
Here are a few resume makers I consider good enough to go through. But hang on, that's not it. What if you get one tool that solves your multiple problems? Keep reading to find out what I am talking about. - Source: dev.to / over 1 year ago
The best possible thing you can do for yourself is to be updated with the latest technology. Having something going on the side can boost your career and resume. Keep track of your projects where you performed well. - Source: dev.to / over 1 year ago
Update your profile and add the skills you have learned. Alter your profile according to the roles you are applying to. Showcasing your work will make your profile stand out. - Source: dev.to / over 1 year ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
Read.CV - Mindful professional profiles
GoSquared People Analytics - One place to understand your users
Polywork - Polywork is a professional social network that allows you to post updates about what you're up to (in work, and, if you like, in life too).
Currents by Parse.ly - Uncover what’s making 1 billion people pay attention
LinkedIn - LinkedIn is a business-oriented social networking service, mainly used for professional networking.
Zoios - Understand and keep your employees with people analytics