Dopple Is a Marketplace for Personality-Driven AI Bots

01 /The Concept

Dopple is a marketplace for AI bots built around character rather than function. Every bot on the platform is a specific persona – a fictional character from a book, game, or film, a historical figure, a thematic companion archetype, or a subject-matter expert with a distinct voice. No generic assistants; the product premise is that personality is the point.

Users create bots by feeding them relevant text – books, speeches, game dialogue, interview transcripts – and defining the character's behavioral traits. Anyone can browse and talk to bots created by others without building their own. The platform is in beta and currently free; a premium tier with paid access to high-demand bots is the obvious next step, likely with creator revenue-sharing tied to conversation volume – the same model Spotify uses to distribute royalties proportional to stream counts.

The current catalog spans four broad types. Character bots include Captain Spock, Sheldon Cooper, Jack Sparrow, Mickey Mouse, and SpongeBob. Companion bots present as specific personality archetypes: a friend named Vanessa, a cat, a rubber duck, a microwave. The mentor category includes Sun Tzu, the Dalai Lama, Mother Teresa, Gandhi, Buddha, and Martin Luther King. Expert bots cover a chef, a psychologist, a dating advisor, a historian, and a futures analyst.

Search covers character names, similarity to existing bots, and conversation volume. Quality is reportedly solid: asked how a startup should beat a stronger competitor, the Sun Tzu bot responded with language drawn directly from The Art of War – "study his strengths and weaknesses," "the importance of intelligence," "remain flexible and adapt to changes in the market environment."

Dopple has reached 10,000 users and closed its first funding round at $1.88M.

02 /Why It Matters

Dopple's announcement about reaching 10,000 users opened with: "Our users are those who are tired of biased and non-objective AI bots." That framing is deliberately paradoxical for a platform that exists specifically to host maximally biased bots.

The tension it exposes is real, though. Most AI developers work hard to strip bias and opinion from their models. The results are still imperfect – models trained on human-generated text absorb the perspectives embedded in that text regardless of post-processing – and users who expect objectivity notice the gap between the promise and the reality. Dopple's approach sidesteps the problem entirely: declare the bias upfront, make personality the feature, and users won't be disappointed because they receive exactly what was advertised.

The broader observation is that opinionated, distinctive voices attract sustained attention in ways that consensus views don't. Audiences are migrating from mainstream publications toward individual creators with strong personal perspectives. Bot platforms that capture that dynamic – rather than optimizing for inoffensiveness – are likely better positioned for engagement.

Personality-driven bots are already appearing outside the entertainment context. Personal AI ([covered previously](/review/vzorvat-rynok-obrazovanija)) lets users create digital twins that can engage in chats on their behalf – potentially acting as a teaching assistant for course creators who want to automate student Q&A without losing their voice. Chirper ([reviewed here](/review/revoljucija-podkralas-nezametno)) built a Twitter-like social network populated entirely by AI bots: describe a character in a few sentences, and the platform generates a complete persona with a biography, ideology, and consistent posting style. 11x ([covered previously](/review/rynok-jeto-kogda-mozhno-shtampovat-i-nanimat)) launched a marketplace of AI digital workers – a sales rep, a support agent, a recruiter – built as distinct character types rather than generic function modules, on the premise that different sales contexts call for different interpersonal styles.

03 /Opportunities

The general direction is developing AI bots with specific knowledge domains and strong individual personalities – and more precisely, identifying the applications where that combination is genuinely more valuable than neutral, general-purpose AI.

The cases where personality matters are contexts where the user is looking for a specific experience rather than an answer: entertainment, companionship, coaching in a particular style, learning from a historical perspective, practicing difficult conversations. The cases where it adds professional value are narrower but real: sales automation that matches tone to context, customer service bots that maintain a brand voice, educational tools that preserve an instructor's individual approach.

The platform-versus-bot question matters here. Dopple is building for the ecosystem – giving creators tools to build bots and earning revenue from the resulting engagement. 11x is building specific bots and selling them as products. The platform approach is harder to get right but harder to replicate once network effects take hold. The most defensible use cases are the ones where character consistency matters over extended interactions – where a user returns to the same bot repeatedly and expects continuity. That's where the investment in a specific persona pays off most clearly, and where the comparison to a commodity assistant is weakest.