Android dating app tutorial

And sometimes you completely miss out on the most basic features that defines your product. That is why having a minimum viable product defined is important. Any features within the app should be there for performance, usability, and security. These are the core foundational features that drive your product. Swipe gestures are a favorite among the users and quite user-friendly for a dating app. However one needs to optimize these swipe cards depending upon the target audience.

All these features run in the frontend for the users. Where the users can choose to delete the picture upon swiping towards left or save it by swiping right. People have recommended using standalone MongoDB for dating apps. Even Tinder used MongoDB. However, this cannot be hailed as the best way. They arise because of the myths surrounding MongoDB. Tinder, too, ran into trouble while using MongoDB. According to experts, designing a database on MongoDB is a bit tricky.

It calls for you to plan well in advance what features you wish to implement for the app and what information you would need to extract from it. This becomes a bit cumbersome since most apps are driven by agile approach. In order to make this easier, shift all your non-structured data of the app to MongoDB and place all your structured data on MySQL database. A dating application functions on variable tasks. When we focus on static content Images , Node. This problem can be solved with a caching mechanism. This gives a huge boost to Node. In this manner, any request with caching appears to have been processed immediately for the end user.

This is a way one can bring down the number of calls that your app needs to make to your primary database. There are three ways to implement caching in your app:. Remember that we are taking into account the MVP. Once the app passes through the bottleneck and is ready to scale, you can include all these three caching mechanisms to serve different purposes. Once you have crossed the MVP phase, your app needs to be made more scalable.

It needs to be ready to handle unprecedented amount of traffic and requests. For this, you will need to optimize the server queue. The N depends upon the incoming traffic on your application. Below is the most basic example of how this works:. Once the server deployment is completed, any further tasks can be taken into account. Your app should now anticipate more traffic. Consider a What will happen when you take your app live? How many users might log in at one moment?

How many messages will be sent and received at one go.

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  • Dating App Development: How to Make a Dating App That Meets User Expectations!
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Now, the hacker will create multiple profiles on the app. This will give him three arbitrary locations such as 3. To avoid this from happening, simply do not provide accurate location information to your mobile user interface. It is very easy to decompile your app and once the code has been decompiled, there are various ways through which hackers can:. In order to prevent this: Do not keep the source code in plain simple text. Make sure any login credentials are not hard key coded within the source code. Data breach is one of the most common types of online fraud.

Due to weak or no encryption and negligence, personal data of users gets into the wrong hands. Hence, it is necessary that each communication that takes place between the server and the app should be encrypted. In most cases, a PGP based cryptographic encryption is enough to provide a strong security. Insert an email id , in this case: The aforementioned security features are easy and cost-effective to execute for a dating app MVP.

Now before we talk about what goes under the hood of Tinder, a few things need to be understood. Only a handful amount of people know what exactly goes behind the algorithm of Tinder.

firebase android dating app demo

An algorithm is developed after years of learning, experiences, feedbacks, observations etc. They cannot afford to lose it out in the public. Even though this is one the most sophisticated and trusted ways to match profiles on a dating app, it becomes a substantially expensive deal for startups.

Hands on Android tutorial to create an app like TINDER with full source code

A startup cannot afford to put a machine learning LOB in their business. However, there is a solution to this. You simply need to observe in order to understand and provide. This can be helpful when the app has a limited number of users. As the user base increases, the demand for time and effort also shoots up. Once your app has managed to acquire a large user base, that will be a good time to move the matching algorithm to machine learning. The quality of a dating app is measured by the number of genuine and authentic profiles. Fake profiles, scammers, impersonators etc downgrade the quality of app experience.

Setting up an automated image moderation system is a good practice for dating apps and websites. Once you register on their website and create an account, you will be provided with two secret keys. The website returns a JSON. In this JSON there is a scam prob attribute which analyses whether the image contains a scammer or not. The JSON contains also an attributes faces that is an array. Another way to moderate fake profiles is by asking users to sign up via Facebook account and putting a threshold on number of friends, profile information, likes, etc a user must have to identify them as a valid user.

Providing real time chat support-both online and offline, is integral to an online dating app. One major difference between real time chat and a simple chat is that the later requires the users to refresh the chat window in order to receive new messages. And in real time chat, the chat gets updated automatically. Having an HTTP chat installed is waste of both, time and resources. Moreover such chats will not scale with time and eventually fail. Trusting such chat modules is not a good idea. If you are just starting out, building a chat module from the scratch and then implementing it into the app is not at all a good idea.

This is simply too much work and a tremendous waste of time. Preferable options include A Firebase which provides tons of features along with quick user-friendly chat implementation. B OpenFire is another great example of easy chat module integration. It is a real time collaboration RTC server. Both of them provide XMPP protocols for chat functionality.

How to Create a Dating App That Meets User Expectations

While both these options are good, they do have their own limitations and scalability issues. Make sure you check them before opting for any one of those. One such limitation is that unix systems limits the maximum number of simultaneous users Openfire can have. The default limit is set to 4, CometChat is another good example to integrate a chat module for your dating app.

It is a pre-packed building block for your chat infrastructure. CometChat is a robust and elegant solution for integrating a sophisticated chat module to your app.

Features of Appy Pie’s Dating App Builder

Since you are not selling tangible items through the app, the requirement for a payment gateway is out of the question. Purchases on an online dating app fall under digital goods. Do not just go for a clone script and start monetizing the app on top of that. Eventually such business is doomed to fail. Building an app gathering all the bits and pieces, lessons and experience, feedbacks and reports is how one should proceed.

We have given you all the ingredients required to build your own dating app. All you need is to now get up and start hustling. Shivangi is currently a marketing ninja at CometChat: She uses the inquisitiveness of exploring new things in the art of reading and writing. When programming, so much time is wasted rewriting the same functionality that has existed before. My philosophy when it comes to mobile app development is: Why reinvent the wheel when you can just install it via CocoaPods?

For those that are initiated, CocoaPods is a dependency manager for iOS.

Traditionally, when one wanted to integrate a 3rd party library, one would have to manually download zip files, unarchive and import them into their projects, then manually configure project build flags to not completely mess up your build. CocoaPods solves this by handling it automatically. I would highly recommend you use CocoaPods for your projects as this saves a lot of time dealing with framework conflicts and keeping frameworks up to date.

Develop and configure a custom app

For us, we ended up deciding to go with Koloda to handle our swipe view. I know there are a lot of other web alternatives out there, and people have varying opinions, but for me, Rails has always been the fastest and most straight forward way to quickly deploy a CRUD basic backend server. Regardless of what you choose, the process for creating the backend would still be the same.

In order to handle profile creation from Facebook, we also had to use Sidekiq with Redis so our profile creation jobs can be done on the background. As mentioned, we used Sidekiq, but others swear by Resque. Paperclip has a nice adapter already built in for S3 which makes processing, uploading and retrieving images magical. It also takes care of resizing for thumbnails. As far as an MVP goes, this was pretty much all we needed to get user login and swipes to start working.

Use all tools out there at your disposal. I think most everyone uses JSON as their preferred format for exchanging information from the backend to front end. I think this is a mistake that a lot of developers old and new make when starting their projects because data synchronization between different components is always a challenge. The client side User object should have up and down syncing methods to be able to POST new data up to the server and sync information back down to the app.

This was probably the trickiest part in building the app and took the most amount of time. We originally tried integrating various pre-built chat solutions but they all back fired.

Market and competitors research

It ended up taking way longer to customize the libraries than we had thought and by the end of it, we had a half working solution that was very poorly written and hard to maintain. We ended up having to scrap about 2—3 days of work and decided to implement our own custom solution instead. When Rails works, it works great. It not only allows the user objects to send and receive messages but also takes care of constructing the conversation model. This also means it lacks things like a typing indicator.