dj Liker

dj Liker is an Android app that automates engagement actions on Facebook, including generating likes and comments for posts. It is intended for people who want to increase the visible interactions on their posts without asking others to like them. The listing also mentions reactions, followers, and page likes, and says the app uses Facebook Graph API calls to automate its exchange system. It describes the service as offering free, instant likes, though results are not guaranteed for every post.

Which Facebook interactions does dj Liker offer?

The app is described as a tool for getting likes on Facebook posts and adding multiple comments to public posts. Its listing also names reactions, followers, and page likes as available engagement types. It presents these features as a way to increase interactions and exposure for photos and posts, rather than as tools for creating or editing content.

How does the automated system work?

According to the listing, dj Liker uses Facebook Graph API calls for an automatic exchange system. It says users do not need to provide their Facebook credentials. The description does not explain the exchange process in detail, so it does not establish how a particular request is fulfilled or what results a post will receive.

How many likes can a post receive, and are there limits?

The listing makes two different volume claims: it says users can provide up to 100,000 likes, while its pros section states up to 1,000 likes for each post. It does not explain how these figures relate to one another. It also notes that the app may not work with every post, so users should not assume that every request will succeed.

What does the app say about data and likes?

The listing describes its database as encrypted and says information is not shared with third-party websites or apps. These are claims made in the app description, not independently verified guarantees. It also claims that likes come from real users rather than troll accounts. People considering the app can weigh those statements alongside its stated focus on automated engagement and public-post comments.