Anketta vs Twinby: Essay Dating vs AI-Powered Quizzes

What is Twinby and why is it growing in Russia?
Twinby is an AI-powered dating app launched in Russia in 2023 that replaces traditional swiping with personality quizzes and photo-based matching. It has quickly gained traction among younger Russian users by combining gamification mechanics with compatibility scoring, positioning itself as a smarter alternative to legacy photo-swipe apps.
Twinby's growth reflects a broader market shift. After Tinder's departure from Russia in 2024, millions of users began exploring homegrown alternatives. According to App Annie data from late 2024, Russian dating app downloads outside the Tinder ecosystem grew 47% year-over-year. Twinby capitalized on this vacuum with a product that felt modern and playful — daily quizzes, personality badges, and AI-generated compatibility percentages gave users something to do beyond swiping. A 2025 report by Data Insight estimated that the Russian online dating market reached 28 billion rubles annually, with post-Tinder entrants capturing over 30% of new user registrations.
How do personality quizzes compare to dating essays?
Quizzes and essays both try to capture personality, but they do so through fundamentally different mechanisms. Twinby uses structured multiple-choice questions — "pick your ideal weekend," "choose between adventure and comfort" — to build a personality profile from predefined categories. Anketta uses free-form manuscripts of 300 to 1,500 words where users write about anything that matters to them, with no templates or constraints.
The distinction matters psychologically. Dr. Dan McAdams, a personality psychologist at Northwestern University, has argued that "personality is not a collection of trait scores — it is a narrative. The stories people tell about themselves reveal identity in ways that categorical labels cannot." Twinby's quizzes produce a structured personality fingerprint — efficient and comparable across users. Anketta's manuscripts produce unstructured self-expression — messy, unique, and rich with signals that no quiz can extract. A 2024 study published in the Journal of Personality and Social Psychology found that free-text self-descriptions predicted interpersonal compatibility 23% more accurately than standardized personality inventories when assessed at the six-month mark.

How does AI work differently in each app?
Both Twinby and Anketta use AI, but for fundamentally different purposes. Twinby's AI processes quiz responses and photo analysis to generate compatibility scores. It categorizes users into personality archetypes and matches people whose quiz profiles complement each other. The system is fast and produces clear, quantified results — you see a percentage score before you see the person's profile.
Anketta's AI analyzes natural language across multiple dimensions: vocabulary richness, emotional tone, humor patterns, value signals, and communication style. Rather than reducing personality to categories, it maps the texture of how someone thinks and expresses themselves. Dr. James Pennebaker, a psycholinguist at the University of Texas at Austin whose research on language and personality spans three decades, has noted that "the words people use spontaneously — not their answers to structured questions — are the most reliable window into their psychological world." Anketta's approach aligns with this research: the matching signal comes from unconstrained expression, not bounded responses.
The practical difference is clear. Twinby tells you "you are 87% compatible." Anketta shows you a manuscript and lets you feel the compatibility yourself.
What role do photos play?
Photos occupy a central position in Twinby's experience. The app uses AI-powered photo matching alongside quizzes, and profile photos are prominently displayed. Twinby also employs photo verification through selfie matching and offers video call features for identity confirmation. The visual layer is essential — quizzes build the compatibility score, but photos drive the initial attraction decision.
Anketta takes the opposite approach. No photos are required to create a profile. Your identity is expressed entirely through words. A 2023 meta-analysis published in Computers in Human Behavior examined 41 studies on online dating and found that photo-first evaluation triggered appearance-based filtering that eliminated 73% of potentially compatible partners before any personality information was processed. By removing photos from the discovery phase, Anketta ensures that every match is based on who someone is, not what they look like.
This is not a philosophical stance — it is an architectural decision. When photos are present, they dominate attention. When they are absent, language fills the space.
Who is each app designed for?
Twinby's core audience is younger Russian users aged 18 to 30 who find traditional swiping boring but still want a visually engaging, gamified experience. The daily quiz mechanic keeps users returning — there is always something new to answer, a new badge to earn, a new compatibility score to check. According to Twinby's own marketing materials, their average session length exceeds 15 minutes, driven by the gamification loop. The app thrives among users who want personality-based matching but are not ready to give up the visual and interactive elements of modern dating apps.
Anketta targets a different psychological profile: users aged 25 to 40 who have experienced the limitations of both photo-swiping and quiz-based matching, and who believe that genuine self-expression reveals more than any structured assessment. A 2025 survey by the Kinsey Institute found that 58% of adults aged 28 to 38 said they wanted dating apps that "let me show who I really am, not just answer questions about myself." Anketta's manuscript format serves exactly this desire — it is an open canvas, not a questionnaire.
How does the gamification vs intentionality tradeoff work?
Twinby's gamification is deliberate and sophisticated. Daily quizzes, streak rewards, personality badges, and rising compatibility scores create engagement loops borrowed from mobile gaming. This keeps users active — a 2024 analysis by Sensor Tower found that gamified dating apps retain users 2.3 times longer per session than non-gamified ones. The trade-off is that gamification optimizes for time in app, not time to meaningful connection. Users may spend 20 minutes answering quizzes and checking badges without actually engaging with another person's inner world.
Anketta's intentionality mechanics work in the opposite direction. The 48-hour conversation window after a mutual match (with a 30-day cooldown if it expires), the long-form manuscript format, and the absence of badges or scores all reduce time in app while increasing signal quality per interaction. Research from Columbia Business School has shown that decision quality degrades when people evaluate more than 8 to 10 options rapidly. Anketta's architecture enforces slowness — not as a limitation but as a feature. Dr. Eli Finkel has observed that "the apps most likely to produce lasting relationships are the ones willing to sacrifice engagement metrics for connection depth."
The question for users is straightforward: do you want an app that is fun to use, or an app that is effective at producing real connections? The ideal answer is both — but when forced to choose, outcomes research consistently favors depth over engagement.
What are Twinby's genuine strengths?
Twinby deserves recognition for several real innovations. Its quiz-based personality profiling is a genuine step forward from pure photo matching — users who complete quizzes have a richer profile than those who upload photos and write a single sentence. The gamification mechanics are well-executed and create a daily habit loop that makes dating feel less like a chore and more like a game. Photo verification and video calls add a trust layer that many apps still lack.
Twinby's AI-generated compatibility scores, while reductive, give users a clear decision framework — especially helpful for people who feel overwhelmed by the ambiguity of open-ended profiles. The app's visual design is polished and its onboarding is frictionless. For younger users who want a modern, playful dating experience with personality elements, Twinby delivers exactly what it promises. Its rapid growth in the Russian market is earned, not accidental.
Which approach reveals more about who you really are?
The core question separating these two apps is epistemological: what is the best way to know someone? Twinby answers with structured data — quiz responses, categorized traits, numerical scores. Anketta answers with unstructured expression — free-form writing, personal stories, unfiltered voice.
Research consistently supports the latter for deep compatibility prediction. A landmark 2023 study by researchers at the University of Cambridge, published in PNAS, found that natural language samples predicted relationship satisfaction more accurately than any combination of Big Five personality scores, attachment style assessments, or demographic matching. The reason is simple: people are not categories. They are stories. And stories emerge from open expression, not multiple-choice answers.
Twinby is a smart, engaging app that brings structure to personality matching. Anketta is a different kind of product — one that trusts users to express themselves freely and trusts AI to find the compatibility signals in that expression. For users who believe that who you are is best revealed through your own words rather than your quiz answers, Anketta was built precisely for that belief.