We don't guess who you'll connect with. We approximate it — drawing on 50 years of personality research, entirely on your phone. Below: what signals we actually use, what those signals can suggest, and where each framework's known limits kick in.
Every social app begins with the same mistake: asking you to describe yourself. Fill in your bio. Pick your interests from a list. Write something clever. The assumption is that you know who you are and can communicate it accurately to strangers. Decades of psychological research say otherwise.
Simine Vazire's Self-Other Knowledge Asymmetry (SOKA) model, published in 2010, demonstrated that we are often poorer judges of our own traits than our close friends are. We overestimate socially desirable qualities and underestimate traits we'd rather not acknowledge. The Dunning-Kruger effect compounds this further: those least skilled at self-assessment are the most confident in their self-descriptions. Your carefully curated profile is, in many ways, a fiction you believe.
SynchroCity takes a different approach. Rather than asking you to self-report, the app observes how you actually behave — your approach patterns, decision latencies, temporal rhythms, and the choices you make when nobody is watching. These behavioral traces, accumulated over time, produce a working profile that is often more informative than a bio you would write — but it is a probabilistic scoring model, not a psychometric measurement, and it improves as you give it feedback.
Vazire, S. (2010). "Who knows what about a person? The self-other knowledge asymmetry (SOKA) model." Journal of Personality and Social Psychology, 98(2), 281-300. • Kruger, J. & Dunning, D. (1999). "Unskilled and unaware of it." Journal of Personality and Social Psychology, 77(6), 1121-1134.
Since Costa and McCrae formalized the Five Factor Model in 1992, and building on Goldberg's earlier lexical work, the Big Five has become the most empirically validated framework in personality psychology. Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism — collectively known as OCEAN — capture the fundamental axes along which human personalities vary. Thousands of studies across cultures, languages, and decades have confirmed their reliability and predictive power.
What makes the Big Five revolutionary for SynchroCity is the work of Michal Kosinski and colleagues, who demonstrated in 2013 that digital behavioral traces can predict personality traits more accurately than self-report questionnaires. Their analysis of Facebook Likes predicted personality with startling accuracy — and with enough data, outperformed the predictions made by co-workers, friends, family members, and even spouses.
SynchroCity applies this principle to proximity behavior. Rather than analyzing social media activity, the app infers your Big Five profile from how you interact with the mesh itself: your scanning frequency, the types of glyphs you choose, your approach and avoidance patterns with different resonance profiles, and the temporal rhythms of your engagement.
| Trait | Description | Behavioral Indicator |
|---|---|---|
| Openness | Curiosity, imagination, and preference for novelty | Variety of zones visited, engagement with unfamiliar resonance profiles, glyph vocabulary diversity |
| Conscientiousness | Organization, dependability, and goal-directed behavior | Regularity of scan patterns, follow-through on handshake requests, consistency of transmission updates |
| Extraversion | Energy from social interaction, assertiveness, positive affect | Scan frequency, approach rate, number of simultaneous handshakes, time-to-initiate after resonance ping |
| Agreeableness | Cooperation, trust, and prosocial orientation | Glyph sentiment distribution, response rate to incoming pings, tendency to accept lower-resonance connections |
| Neuroticism | Emotional reactivity and vulnerability to stress | Approach-avoidance oscillation, session duration volatility, transmission edit frequency, withdrawal patterns after encounters |
Costa, P. T. & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) Professional Manual. • Goldberg, L. R. (1993). "The structure of phenotypic personality traits." American Psychologist, 48, 26-34. • Kosinski, M., Stillwell, D. & Graepel, T. (2013). "Private traits and attributes are predictable from digital records of human behavior." PNAS, 110(15), 5802-5805.
While the Big Five describes how you behave, Shalom Schwartz's Theory of Basic Human Values describes what you care about — and crucially, what you are willing to sacrifice for. First published in 1992 and refined in 2012 with additional granularity, Schwartz identified ten universal value types that appear across every culture studied: Self-Direction, Stimulation, Hedonism, Achievement, Power, Security, Conformity, Tradition, Benevolence, and Universalism.
These values are arranged in a circular structure — the Schwartz Value Circumplex — where adjacent values are psychologically compatible and opposing values create motivational conflict. A person who deeply values Stimulation and Self-Direction will naturally resonate with others who share those priorities, while someone driven by Security and Conformity operates from a fundamentally different motivational framework.
SynchroCity infers a working position on this circumplex from your behavioral signals. Your glyph choices, the types of transmissions you broadcast, the resonance dimensions you weight most heavily, and the patterns of who you approach and avoid provide clues about your value structure. Two people whose inferred value profiles occupy neighboring positions on the circumplex more often report immediate rapport — when it works, they share an unspoken understanding of what matters.
The Schwartz Value Circumplex — adjacent values are compatible; opposing values create motivational tension.
Schwartz, S. H. (1992). "Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries." Advances in Experimental Social Psychology, 25, 1-65. • Schwartz, S. H. (2012). "An overview of the Schwartz theory of basic values." Online Readings in Psychology and Culture, 2(1).
John Bowlby's attachment theory, later extended by Mary Ainsworth's Strange Situation experiments and Hazan and Shaver's application to adult relationships, reveals that our patterns of connecting with others are shaped by deep internal working models. These models — Secure, Anxious-Preoccupied, Dismissive-Avoidant, and Fearful-Avoidant (Disorganized) — profoundly affect how we approach new connections, tolerate uncertainty, and manage closeness.
Research consistently shows that attachment compatibility matters more than personality similarity for the quality and longevity of relationships. Two highly open, extraverted people may share interests yet constantly trigger each other's attachment anxieties. Meanwhile, a secure-anxious pairing can thrive when the secure partner provides consistent responsiveness that gradually shifts the anxious partner toward earned security.
SynchroCity looks at attachment-adjacent behavioral signals: how quickly you initiate after a resonance ping (approach behavior), how you respond to non-responses (tolerance of ambiguity), your patterns of engagement and withdrawal over multiple encounters (consistency), and whether you deepen or retreat when connections intensify. These signals inform compatibility scoring — sometimes noticeably ("connections feel unusually natural"), sometimes not.
Bowlby, J. (1969). Attachment and Loss, Vol. 1: Attachment. • Ainsworth, M. D. S. et al. (1978). Patterns of Attachment. • Hazan, C. & Shaver, P. (1987). "Romantic love conceptualized as an attachment process." Journal of Personality and Social Psychology, 52(3), 511-524.
You have met someone who shares none of your interests yet somehow the conversation felt electric. This is cognitive resonance — the alignment of thinking styles rather than thinking content. SynchroCity estimates several dimensions of cognitive style: convergent versus divergent thinking (do you narrow toward a single solution or explode outward into possibilities?), abstract versus concrete reasoning (do you inhabit the world of principles or particulars?), and integrative complexity (can you hold multiple contradictory frameworks simultaneously?).
Philip Tetlock's research on integrative complexity shows that people who match on this dimension experience a distinctive quality of dialogue — ideas flow without constant translation. J. P. Guilford's foundational work on divergent thinking established that creative compatibility depends more on how people think than what they think about. Two divergent thinkers with completely different domains will spark more than two convergent thinkers who share a specialty.
SynchroCity infers cognitive style from glyph selection patterns, transmission structure, resonance dimension preferences, and the types of connections a person sustains over time versus those that fade. This is the most subtle layer of matching — and, when it works, often the most powerful.
Tetlock, P. E. (1986). "A value pluralism model of ideological reasoning." Journal of Personality and Social Psychology, 50(4), 819-827. • Guilford, J. P. (1967). The Nature of Human Intelligence. New York: McGraw-Hill.
The six sections above cover the frameworks that carry the most weight in the current resonance engine and have the clearest research pedigree. The engine draws on roughly forty additional framework families — some as light signal contributions, some as gating heuristics, some as optional lenses users can enable. Naming a few for honesty rather than for depth: Jungian cognitive functions, polyvagal regulation, Kegan developmental stages, self-determination theory (SDT), broaden-and-build, emotional-intelligence signals, chronotype, life-chapter modeling, values-archaeology, uncertainty-reduction, weak-ties analysis, linguistic fingerprint, group-resonance dynamics, structural-holes network position, terror-management dynamics, post-traumatic growth, and (optional, opt-in) astrological synastry.
We are not going to write a scoped honesty callout for each of the ~40 in this document, because the honest answer for most of them is the same shape as the one above: we look at behavioral signals from the app, derive a directional heuristic that is theory-informed, use it as one contribution to compatibility scoring, and refine it from user feedback. None of them measure anything psychometrically. None of them diagnose. Several — especially Kegan developmental stages, polyvagal regulation, and terror-management — are theoretically rich frameworks whose measurement typically requires trained clinical assessment; our behavioral proxies for these are correspondingly light and treated with correspondingly low weight in scoring.
SynchroCity never asks you to take a personality test. Instead, it builds an implicit profile from the traces you leave through ordinary use. Every action within the app — and the timing, sequence, and pattern of those actions — feeds a multidimensional behavioral signature that becomes more informative as it accumulates data. It is a working model used to improve match quality, not a psychometric instrument, and the more you use the app the more your feedback shapes it.
The observable signals include: approach-avoidance patterns (who you engage with and who you let pass), glyph latency (how long you deliberate before choosing a word to describe an encounter), temporal patterns (when you scan, how your behavior changes across time of day and day of week), and zone variety (whether you seek the same environments or constantly explore new ones). Each signal is noisy in isolation, and even the composite is a probabilistic estimate rather than a measurement — but the composite is stable enough over time to be useful for compatibility scoring.
This approach draws on Kosinski, Stillwell, and Graepel's 2013 finding that digital behavior records can predict Big Five personality traits with accuracy that in some cases exceeds close friends' judgments. It is important to be clear about the scope of that finding: the paper concerns Big Five personality specifically, uses Facebook Like data, and reports correlations — not verdicts. We use it as evidence that behavioral traces carry real signal, not as a claim that SynchroCity can psychometrically measure anyone. The mesh sees patterns, and patterns get refined by your feedback.
Kosinski, M., Stillwell, D. & Graepel, T. (2013). "Private traits and attributes are predictable from digital records of human behavior." Proceedings of the National Academy of Sciences, 110(15), 5802-5805.
The most sensitive data in existence is not your credit card number or your medical records — it is a precise model of your personality, values, attachment style, and cognitive patterns. SynchroCity treats this data with the gravity it deserves: all personality inference happens entirely on your device. Your behavioral fingerprint is never transmitted to any server. No cloud database contains your OCEAN scores or attachment classification. The resonance engine runs locally, comparing your profile against nearby users' encrypted transmissions without either party's full profile ever leaving their phone.
For the small amount of collective learning the system needs (calibrating resonance weights, improving inference models), SynchroCity employs differential privacy — mathematical guarantees that no individual's data can be extracted from aggregate statistics. You also control every layer of revelation through the Progressive Depth system. You decide what is visible, when, and to whom. The science is powerful precisely because the privacy is absolute. People behave naturally when they know they are not being watched, and natural behavior produces the most accurate signals.
How the resonance engine computes compatibility without a server.
How BLE beacon IDs rotate every 15 minutes to prevent tracking.
Dive into the Tavern Protocol specification.
See how multi-dimensional matching works, interactively.
"Your personality is already being expressed through how you use the app. We just listen."
Social Penetration Theory: Why Depth Must Be Earned
Irwin Altman and Dalton Taylor's Social Penetration Theory (1973) describes how relationships develop through progressive layers of self-disclosure — moving from superficial exchanges to increasingly intimate revelations. The metaphor is an onion: relationships deepen as people peel back successive layers, and attempts to skip layers almost always backfire. Premature intimacy creates discomfort; graduated disclosure builds trust.
SynchroCity's Progressive Depth Layers are a direct implementation of this theory. Every connection begins at the surface and can only deepen through mutual engagement over time. This is not a limitation — it is the mechanism by which genuine trust is constructed.
Surface
Basic transmission data: current interests, general energy, glyph aura. The handshake layer.
Context
Shared domains, skill overlaps, temporal patterns. Why you might be compatible, in broad strokes.
Character
Value alignment, communication style, cognitive patterns. The personality beneath the interests.
Shadow
Attachment patterns, conflict style, growth edges. The parts most people hide.
Resonance History
Full encounter history, mutual glyph patterns, relationship trajectory. The shared story.
Altman, I. & Taylor, D. A. (1973). Social Penetration: The Development of Interpersonal Relationships. New York: Holt, Rinehart and Winston.