No Socketkit videos yet. You could help us improve this page by suggesting one.
Based on our record, YOURLS seems to be a lot more popular than Socketkit. While we know about 21 links to YOURLS, we've tracked only 1 mention of Socketkit. 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 is what I use and like: https://yourls.org. - Source: Hacker News / 6 months ago
Similar to...? https://yoslash.com/ Personally I just use https://yourls.org/. - Source: Hacker News / about 1 year ago
YOURLS has a "detect-mobile-device" plugin. Is that what you were looking for? Source: about 1 year ago
You will need to implement the YOURLS URL Shortener (https://yourls.org) and then implement the following YOURLS Plug-in - https://github.com/peterberbec/yourls-keyword_charset_length (Keywords, Charset & Length). Source: over 1 year ago
Personally I would use something like this, although it does require a database. https://yourls.org/. Source: over 1 year ago
We at Socketkit believe that privacy and security is a fundamental human right, and wanted to develop a set of products around the idea of creating valuable insights for mobile application developers and companies without compromising privacy and security. With this idea in mind, I would like to introduce our first open-sourcely available microservice framework Awacs. - Source: dev.to / almost 3 years ago
Bitly - Get the most out of your social and online marketing efforts. Own, understand and activate your best audience through the power of the link with Bitly Enterprise.
BareMetrics - SaaS Analytics for Stripe
Polr - An open source URL shortener. A great non-profit and free alternative to bit.ly, TinyURL, or goo.gl.
RevenueStory - Subscription analytics built on top of your billing system
TinyURL - Are you sick of posting URLs in emails only to have it break when sent causing the recipient to...
MRRly - Subscription analytics with deep customer segmentation