We have no idea. But we know how to reverse-engineer Tinder to find out what it would take to rebuild a startup that monetizes love and lust.
You know what really gives you good insights into what people are looking for? Their Google search queries – literally.
According to Google’s Keyword Planner, there are about 4,090,000 monthly searches around the keyword “love”. Another 55,600,000 searches revolve around the topic of sex, and about 2,740,000 searches deal with dating.
No wonder then that Tinder, which serves all three needs – love, sex, and dating – has evolved from a simple “Hot-or-Not” app to a global market leader with millions of active users.
Tinder is part of Match Group, which also includes other well-known dating apps like Hinge or OkCupid. As early as 2015, Tinder was valued at $1.35 billion USD – but that was just the beginning.
Today the situation looks completely different:
According to analyst valuations, including Morgan Stanley, Tinder alone was estimated at around $42 billion USD in 2021.
The entire Match Group was valued at approximately $44.6 billion USD at the end of 2021.
In 2025, the market capitalization of Match Group is around $49.6 billion USD – with Tinder being the flagship and likely accounting for a significant portion of this valuation.
Dating is therefore no longer just a social phenomenon, but a multi-billion dollar business.
And the best part? The market continues to grow. Every year, studies – such as those by Gallup – show that more and more people are using digital means to make connections. The hunger for love, lust, and belonging remains unbroken.
Now, aren’t you curious too about what it would take today to rebuild a service like Tinder – and secure a piece of this globally growing market?
Managing matches and mismatches – here’s how it works
For users, Tinder may seem like an endless pool of potential dates – but on the developer side, this mainly means one thing: a huge amount of data that must be efficiently processed, stored, and analyzed.
Most dating apps – including Tinder – use complex algorithms to suggest suitable matches. These are based on a variety of factors: location, interests, swiping behavior, profile similarities, and much more. For those who want to dive deeper, I highly recommend an excellent TED Talk about the mathematics behind matching algorithms.
All these processes run in the backend – from user interaction to algorithmic decision-making. No wonder then that this area in particular takes up a large portion of development time and resources.
Web
Area
Person-days
Database design, API design and creation of technical documentation
32
Backend
95
Deployment
25
Frontend
15
Total (Person-days)
167
The inner workings of the apps
Now we come to the part that users really know and love: the app itself.
Many services differ significantly between their Android and iOS versions – a good example of this was Vine, which we analyzed last week. The user experience varied considerably depending on the platform.
Tinder, however, takes a different approach: The app is nearly identical on both platforms, both in design and functionality. Whether Android or iOS – all users play the same “swiping game”.
The estimated app architecture includes two main modes:
the classic swipe mode for finding matches,
and the (now discontinued) Tinder Social function, which allowed groups to go out together.
Both modes include all the familiar features – from profiles with photos and bios to swipe animations to super likes, boosts, and other monetization features. All the “bells and whistles” you’d expect.
iOS
Area
Person-days
Login & Registration
5
Navigation
5
Swipe View
15
My Profile
15
Chat Overview
10
Chat Window
40
Other Users’ Profiles
14
Edit Profile
15
Settings
17
Tinder Plus Screen
10
Total (Person-days)
146
Android
Area
Person-days
Login & Registration
4
Navigation
3
Swipe View
26
My Profile
13
Chat Overview
8
Chat Window
26
Other Users’ Profiles
15
Edit Profile
12
Settings
13
Tinder Plus Screen
3
Total (Person-days)
123
What if I just give the idea a “yes”?
So, you’re ready to conquer the dating market? Then you should be well prepared.
As we have already established, developing a new Tinder-like product would require a total of 436 person-days – that’s 313 working days that developers would spend implementing individual features and modules.
At a daily rate of €600, as we set at DECODE, this results in the following development budget:
Area
Person-days
Price
Web & Back-End
167
€100,200
iOS
146
€87,600
Android
123
€73,800
+10% Project Management
€26,160
Total Costs
€287,760
Now let’s convert these person-days into a concrete timeline:
If two developers each work on iOS, Android, as well as the backend and web, the entire project can be implemented in about 4.5 months.
A dedicated team, clear responsibilities – and a realistic timeframe that enables complete delivery within a quarter.
Mario makes every project run smoothly. A firm believer that people are DECODE’s most vital resource, he naturally grew into his former role as People Operations Manager. Now, his encyclopaedic knowledge of every DECODEr’s role, and his expertise in all things tech, enables him to guide DECODE's technical vision as CTO to make sure we're always ahead of the curve.
Part engineer, and seemingly part therapist, Mario is always calm under pressure, which helps to maintain the office’s stress-free vibe. In fact, sitting and thinking is his main hobby. What’s more Zen than that?
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