Market Landscape

1.1 User-Side Gaps: Emotion × Decision × Trading Disconnect

Web3 users face several structural pain points in their daily experience:

  • Frequent loneliness and anxiety

    • In volatile markets, users often lack emotional support.

    • Trades are frequently driven by FOMO or FUD, making it hard to form rational strategies.

  • Fragmented signals, no personalized guidance

    • News and data are scattered.

    • Traditional tools cannot provide psychologically attuned, goal-oriented suggestions based on wallet behavior or trading style.

  • Complex operations, no human-like entry point

    • Multi-chain, multi-asset environments are difficult to navigate.

    • Interfaces are cold and technical — users long for something lightweight, emotionally aware, and conversational.

1.2 Key user needs

  • Emotional support and reduced anxiety

  • Personalized, goal-oriented guidance

  • Simple, conversational interfaces for complex operations

1.3 Consequences of gaps

  • Irrational trading behavior (FOMO/FUD)

  • Missed opportunities due to fragmented signals

  • High onboarding friction in multi-chain contexts


1.4 Creator / Project-Side Pain Points: Content Supply × Ops Efficiency × Localization

Web3 creators, KOLs, and project teams encounter major friction in social operations:

  • Content fatigue

    • High-frequency needs for tweets, event promos, and opinion posts.

    • Most teams lack bandwidth to consistently produce quality content.

  • No AI assistance

    • Content is still handcrafted, leading to slow response times and broken marketing momentum.

    • Execution becomes expensive and inefficient.

  • Delayed sentiment response

    • Projects miss viral opportunities due to lack of keyword tracking and social trend analysis.

    • There’s no real feedback loop between sentiment and messaging.

  • Localization challenges

    • Projects want to expand into markets like Vietnam, Turkey, and Korea, but lack local-native voices.

    • This leads to mismatched tone and poor conversion.


  • The AI companion market exceeded $2.7B in 2024 and is projected to reach $24B by 2034, with a CAGR of over 24%.

  • Content-driven AI agent markets are growing at over 40% annually, while Web3 use cases remain a largely untapped blue ocean.

  • Products that combine persona consistency and execution capability across both consumer and business scenarios are rare and in high demand.

This section outlines both user-facing emotional/operational gaps and creator-side content/ops challenges, and highlights a strong market tailwind for AI-driven, persona-consistent products that can serve both consumers and projects.

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