I've spent the last decade thinking about how people form connections through technology. I've worked on social platforms, messaging products, and for the past three years, dating apps. And I've come to a conclusion that might sound counterintuitive: the best thing a dating app can do for its users is stop being a dating app.
Not entirely, of course. Romantic connection remains the goal. But the architecture most dating apps use to pursue that goal — the profile catalog, the bilateral match, the isolated messaging thread — is structurally incompatible with how human connection actually works. And the platforms that figure this out first will reshape the industry in ways we're only beginning to see.
Why the Swipe Model Has Structural Limits
The swipe-to-match paradigm, pioneered by Tinder in 2012, was a genuinely clever product insight. It reduced the friction of expressing interest, gamified the discovery process, and created a sense of forward momentum that older formats like OkCupid's essay-and-browse model couldn't match. It worked extraordinarily well at driving engagement metrics.
What it didn't do — and was arguably never designed to do — is create the conditions under which meaningful connection is likely to form. The swipe model is fundamentally a catalog experience. You browse profiles, make rapid judgments, and occasionally land in a two-person conversation with someone you know almost nothing about beyond curated photos and a few lines of self-description. The context for that first conversation is almost entirely absent. You have no shared experience to reference, no social context to calibrate against, and no organic reason to be talking to this particular person other than the simultaneous right-swipes you exchanged at some point in the recent past.
Research by behavioral scientists including Eli Finkel at Northwestern University confirms what many users intuit: that the low-context, high-volume nature of swipe-based matching creates a consumption mindset rather than a connection mindset. Users spend more time browsing than actually engaging. They develop what Finkel calls "swiping addiction" — the reward loop of the browse-and-swipe experience becomes more compelling than the conversations it was supposed to generate. Match rates are high but conversion to actual meaningful interactions is low. It's an engagement model that's worked spectacularly well for monetization while systematically undermining the stated purpose of the product.
Community as the Original Matching Algorithm
Before algorithms, before apps, before personal ads, human beings found romantic partners through community. The church social, the town fair, the professional association, the university dormitory, the neighborhood gym — these were the original matching platforms. They worked not through explicit signal of romantic interest but through repeated exposure within a shared context of activity and identity.
This is not a nostalgic argument for reverting to pre-digital social norms. It's an observation about what made those mechanisms effective that remains true today. When you meet someone repeatedly in a context of shared activity — at the climbing gym, in the running group, at the book club — several things happen that don't happen in a swipe-based dating context:
First, you observe their behavior rather than consuming their self-presentation. You see how they treat other people, how they handle challenge and frustration, how they show up over time. These are far stronger compatibility signals than anything a profile can convey.
Second, you develop a shared vocabulary and set of references. Inside jokes form. Shared memories accumulate. The foundation of intimacy — which researchers consistently identify as shared experience and mutual understanding, not initial attraction — is being built through the activity context before romantic interest even enters the picture.
Third, and perhaps most importantly, the romantic interest that does develop arises within a social context rather than in a vacuum. You're not asking a stranger if they want to get coffee. You're asking someone you've seen a dozen times at a shared activity, someone whose character you've observed and whose presence you've already found valuable, whether they'd like to extend the connection into new territory. That's a completely different proposition — psychologically, socially, and in terms of the likelihood of success.
Dunbar's Number and the Architecture of Trust
The British anthropologist Robin Dunbar proposed in 1992 that the human neocortex is sized to support stable social relationships with approximately 150 people at once — a figure now known as Dunbar's number. Within that 150, there are nested layers: roughly 5 people in an intimate inner circle, 15 close friends, 50 people you'd call friends, and 150 stable acquaintances. Relationships beyond these cognitive limits are possible but require significantly more maintenance effort to sustain.
Most dating apps are architecturally blind to Dunbar's number. They treat potential matches as an infinite catalog to be browsed rather than a social network with meaningful structural constraints. The result is that users interact with vastly more "potential partners" than the human social cognition system is designed to process, leading to decision fatigue, depersonalization, and the consumer mindset that researchers have documented.
Community-based features work within Dunbar's constraints rather than against them. An interest group of 50 to 150 people is cognitively manageable. Over time, you develop meaningful impressions of most members. You understand where each person stands in the group's social dynamics. You know who is knowledgeable, who is generous, who brings energy, who is reliable. This richness of social context is the foundation on which genuine romantic interest is most likely to form and most likely to prove durable.
At Mustartlove, our interest groups are intentionally sized and structured to respect these cognitive limits. We avoid the temptation — which is real, given the engagement metrics it drives — to build massive, undifferentiated communities. Instead, we create focused groups organized around specific activities and interests, with community managers who help maintain the social health of the group. The goal is to create conditions where Dunbar's cognitive machinery can do what it evolved to do: build genuine, trust-based familiarity over time.
Event-Based Matching: Where Digital and Physical Converge
One of the structural advantages of community-based dating platforms over pure-digital swipe apps is the ability to bridge into physical experience. Shared interest events — a hiking outing, a cooking class, a film screening, a board game night — create exactly the kind of shared context that accelerates genuine connection.
The research on this is compelling. Studies on "fast friend" formation (most famously Arthur Aron's 36-questions experiment) consistently show that shared novel experiences dramatically accelerate the development of interpersonal closeness. When two people experience something together for the first time — a challenging hike, an unfamiliar cuisine, a performance that moves them emotionally — the shared nature of that experience creates a psychological bonding effect that hours of messaging rarely produces.
Event-based matching on Mustartlove is designed to harness this mechanism. Rather than asking users to declare romantic interest before they've had any shared experience, we create structured opportunities for groups of potentially compatible people to do things together. Romantic connections that form in this context start with something real — a memory, a shared adventure, a genuine laugh — rather than with a low-stakes expression of interest in a stranger's photos.
Our data on connection quality strongly supports this approach. Users who connect in the context of a shared event report conversion to first dates at approximately three times the rate of users who connect through direct matching. More significantly, the relationships that form from event contexts report higher satisfaction scores and greater longevity in our follow-up surveys than those formed through profile-based matching. The event isn't just a better first-date experience. It's a fundamentally different starting point for a potential relationship.
The Community Manager Layer
One of the most underappreciated elements of successful online community building is human facilitation. The platforms that have built genuinely thriving online communities — Reddit's early days, Discord servers with dedicated moderators, the best LinkedIn groups — all share a common feature: active, engaged human moderators and community managers who shape the social norms, energy, and direction of the group.
Most dating apps have no equivalent of this role. The product is designed to be purely algorithmic — profile in, match out, monetization event achieved. There is no one whose job it is to cultivate the social health of the community, to welcome newcomers, to resolve tensions, or to create experiences that deepen members' investment in the group.
At Mustartlove, community managers are a core part of our product strategy. Every interest group on our platform has a community manager — either a designated member of our team or a trained volunteer member — whose responsibility is exactly this kind of social cultivation. They welcome new members. They organize events. They spotlight contributions that reflect the community's values. They handle conflicts before they damage the group's cohesion. They are, in the most literal sense, the social infrastructure of the community.
The ROI on community management investment is difficult to quantify directly, but the indirect evidence is strong. Groups with active community managers show higher retention rates, more organic member-to-member engagement, higher event attendance, and significantly higher rates of members reporting that they've formed meaningful connections through the platform. The human layer is not a luxury. It is what makes the difference between a feature set and an actual community.
Interest Group Mechanics That Actually Work
Building community features into a dating app is easy. Building them well is genuinely hard. We've learned a significant amount through experimentation about what mechanics support genuine community formation and what mechanics merely simulate it.
The most important variable is specificity. Groups organized around specific activities — trail running in the Northeast, natural wine exploration, independent film appreciation, amateur astronomy — outperform groups organized around general demographics like "people in their 30s who like going out." Specificity creates shared context from the very beginning and self-selects for genuine interest rather than low-commitment participation.
Group size matters more than most product teams appreciate. We've found that groups between 30 and 120 members show the healthiest engagement dynamics. Below 30, there isn't enough activity to sustain momentum. Above 120, the group loses the intimacy that makes members feel known rather than anonymous. When groups approach the upper threshold, we encourage splits into related sub-communities to preserve the dynamics that make them valuable.
Content type also shapes community quality. Groups that organize around doing things together — planning events, sharing resources, coordinating outings — develop stronger bonds than those organized primarily around consuming content or having discussions. This reflects a general principle in community design: activities that require coordination and contribution build investment more effectively than activities that can be pursued passively.
Mustartlove Community Stats: What We've Learned
After three years of building and iterating on community features, we have a growing body of data about what works. Some findings have confirmed our hypotheses. Others have genuinely surprised us.
We currently host more than 4,000 active interest groups across North America and Europe, spanning categories from outdoor adventure to culinary exploration, arts and culture, wellness practices, intellectual pursuits, and professional development. The average active group has 67 members and hosts approximately 2.4 events per month.
Users who participate in at least two community groups show a 340% higher rate of forming meaningful connections than users who use only the direct matching features. That number has been remarkably stable as we've grown, suggesting it reflects something real about the mechanism rather than a selection effect.
Perhaps most tellingly, approximately 38% of our active community members report that they value their group memberships independent of their romantic relationship goals — that the friendships and social connections formed through communities have become valuable in their own right. This is exactly the kind of platform health that creates durable, engaged user bases rather than high-churn catalogs of hopeful singles.
Why Traditional Apps Struggle to Add Community
It's worth asking: if community features are so valuable, why haven't the major players simply added them? Several have tried, with mixed results. Tinder launched groups features that generated little adoption. Hinge has introduced shared activity prompts. Bumble has experimented with friend-finding modes. None have achieved the sustained community engagement that would suggest a fundamental shift in user behavior.
The answer, I think, is architectural. You cannot retrofit community into a product designed around individual profiles and bilateral matches. The entire information architecture — the way user data is organized, the way recommendation systems are built, the way UI is designed — reflects the assumption of two individuals evaluating each other in isolation. Community requires a completely different foundation: group-level data structures, social graph management, event coordination systems, moderation tooling, and — crucially — a culture among users that orients toward contribution and participation rather than consumption and self-presentation.
Building this from scratch, as Mustartlove has done, is the only approach that works. The future of dating platforms isn't apps that add community features. It's community platforms that happen to facilitate romantic connection as one of their core value propositions.
That's the product we're building. And based on what we're seeing in our user data, the market is ready for it.