The Tinder Trap: How Match Group Monetized Loneliness, And the Decentralized Rebellion Fighting Back
Big Dating Doesn’t Want You to Find Love—So People Are Leaving It Behind
JB was on the subway, swiping. He didn’t know how long he had been doing it—maybe five minutes, maybe half an hour. He wasn’t really reading the profiles anymore, just moving his thumb left, left, left, occasionally right, as if something different might happen. He would later describe this moment in an interview with Wired, the sudden realization that he wasn’t using the app so much as being used by it¹.
For years, he had been stuck in the same cycle—download the apps, swipe for weeks, go on a few dates, get disillusioned, delete them, redownload them again. The cycle felt familiar, but also strangely comforting, like a habit he couldn’t quite break. Dating had become its own ritual, a way to pass time rather than a way to actually meet someone.
It wasn’t always like this.
There was a time when online dating was an escape from real-world dating struggles. The early internet offered forums, chat rooms, Craigslist personals—a messy but earnest space where people could meet organically. When Match.com launched in 1995, followed by eHarmony and OkCupid, dating websites were built around compatibility and real human connection². The sites wanted you to find someone and leave.
Then the business model changed.
From Love to Engagement Traps: How Match Group Hijacked Dating
The moment dating apps became profitable was the moment they stopped working.
Facebook, Instagram, and Twitter had already proven that the most lucrative platforms weren’t the ones people used and left—they were the ones people checked constantly, the ones that felt necessary. In 2012, Tinder introduced the swipe model, making dating feel more like scrolling through social media feeds. That was the moment dating stopped being about connection and became about engagement.
Tinder’s swipe system was designed for infinite use. The randomness, the almost-matches, the maybe-next-time thrill—it all triggered the same reward circuits as a slot machine. Users spent more time in the app, but that didn’t mean they were having more success. It just meant they were swiping longer.
Then came Match Group, which slowly bought up its competitors—OkCupid, Plenty of Fish, Match.com, Tinder, Hinge, Meetic, OurTime, BLK, Chispa—until nearly every major dating platform was under its control³. And when a single corporation owns an entire industry, it stops innovating and starts extracting.
Match Group turned dating into a pay-to-play system, where free users were deliberately suppressed—receiving three to five times fewer profile views than paying subscribers⁴.
• Hinge limited free users to 10 likes per day, while “Preferred” members could send unlimited likes⁵.
• Tinder introduced Super Likes, Boosts, and paywalled features, creating artificial scarcity⁶.
• Free-tier users are invisible—unless they pay to be seen.
For men, this meant paying for exposure—a modern twist on traditional dating, where men were expected to initiate. Without Tinder Gold or Boosts, they might swipe for months without getting responses.
For women, it meant being overwhelmed with low-quality matches, then being sold curated filters to “fix” the problem. Dating apps didn’t just exploit human desire—they exploited human frustration.
It worked. In 2023 alone, Tinder made $1.79 billion—not by helping people find relationships, but by keeping them looking⁷.
And as the profits rolled in, the human cost became more obvious.
The Loneliness Economy: How Dating Apps Are Making People Feel Worse
There’s a reason so many people feel exhausted by dating apps.
Studies show that people who spend more than 10 hours a week on dating apps report higher loneliness, anxiety, and dissatisfaction with their love lives⁸. This isn’t a side effect—it’s a feature. The longer users stay single, the more money they spend.
For some, the apps become compulsive. JB, the New York media professional who spoke to Wired, said he found himself using them automatically, filling in gaps in his day with swiping instead of engaging with real-world interactions¹.
For others, the problem is the emotional toll of algorithmic rejection. Dating apps don’t just make people feel undesirable; they train users to see each other as disposable.
• 62% of online daters say they feel like they’re competing in a marketplace rather than forming real connections⁹.
• Women receive an overwhelming number of messages, while men often struggle to get any matches at all¹⁰.
• Ghosting rates have skyrocketed, reinforcing a sense of emotional detachment in dating¹¹.
This system creates a feedback loop of dissatisfaction—the more people struggle, the more they use the app, the more the app profits.
The Rebellion Against Big Dating: People Are Leaving
It’s no surprise that many people are looking for something different.
In an Atlantic feature published this week, a growing number of former dating app users shared that they had stopped trusting platforms like Tinder and Hinge. One woman in New York started a Google Doc matchmaking system, inviting friends to list their single friends and introducing them manually¹². Others have taken their dating lives offline, joining community-led dating groups, social events, and even speed-dating meetups.
People are looking for alternatives. But until recently, there wasn’t a scalable one.
Kindling: A Decentralized Alternative to Match Group’s Monopoly
That’s where Kindling comes in.
Kindling isn’t an app. It’s not a company. It’s a dating infrastructure—a way to meet people that doesn’t require algorithms, paywalls, or corporate control.
• Pools, Not Platforms: Instead of being locked into an app, users create Pools—self-organized groups for dating, friendship, or community.
• No Data Lock-In: Profiles are self-hosted (on Google Docs, Notion, personal sites).
• AI That Works for You, Not Against You: Instead of swiping endlessly, users search for what they actually want, using natural language queries like:
“Show me people in LA who are looking for new friends.”
“Find a dating pool for queer artists in Berlin.”
There are no premium tiers, no hidden algorithms, no engagement traps. Instead of paying upfront for hope, users contribute voluntarily after making meaningful connections.
The End of the Match Group Monopoly
Dating apps were supposed to help people meet each other. Instead, they built a system where the longer you stay single, the more money they make.
But people are catching on. They’re leaving the apps, forming their own dating pools, finding ways to connect without being manipulated by engagement algorithms.
For JB, deleting his apps wasn’t about giving up on dating. It was about taking back control.
He’s still figuring it out—still unlearning the feeling that he should always be looking.
But for the first time in a long time, he’s actually off the apps.
And that, for now, is enough.
Footnotes
1. Wired– “Confessions of a Hinge Power User”
2. The Guardian– “Ex-Facebook president Sean Parker: site made to exploit human vulnerability”
3. The Atlantic– “How Tinder Changed Dating Forever”
4. National Geographic– “Why dopamine drives you to do hard things—even without a reward”
5. Wikipedia– “Match Group”
6. SAGE Journals– “The psychological influence of dating app matches”
7. MindBodyGreen– “Hinge’s Preferred Membership Model”
8. Business of Apps– “Tinder Revenue Statistics 2023”
9. SAGE Journals– “Loneliness and Social Anxiety as Predictors of Online Dating Addiction”
10. Jacobin– “How Match Group Profits from Loneliness”
11. Pew Research Center– “The Virtues and Downsides of Online Dating”
12. Psychology Today– “The Paradox of Choice in Online Dating”
13. The Atlantic– “The Rise of Nonprofit Dating”
14. The Atlantic– “The DIY Dating Movement”








I stopped online dating a year ago. Then when I moved, thought I'd try it again to make friends. Ended up deleting it again. Then I tried a friend app recently... deleted that as well. It became overwhelming and I felt the need to explain things and not hurt people's feelings. I didn't sign up to manage people's feelings, what was I doing?