Crypto Meets Bitget GetAgent: Bitget’s 2025 Ask Satoshi Global Report


Background
Seventeen years after the release of the Bitcoin Whitepaper, Satoshi Nakamoto’s vision for decentralized money continues to shape how the world thinks about finance, trust, and technology. To mark this anniversary, Bitget launched the #AskSatoshiWithGetAgent campaign, inviting users worldwide to “speak” to Satoshi through GetAgent, Bitget’s AI-powered crypto assistant.
Between October 27 and November 5, 2025, more than 10,000 participants from over 90 countries submitted more than 30,000 questions about Bitcoin, blockchain, and the future of digital finance. This report brings together those conversations, offering a global snapshot of what people still wonder about Bitcoin’s origins and where the technology is heading next. Co-authored with insights generated by GetAgent, the report explores the patterns, curiosities, and cultural nuances that continue to define the crypto community.
Executive Summary
The findings show that crypto curiosity remains as strong as crypto conviction.
Users didn’t just ask when Bitcoin would go “to the moon”, they asked whether it had stayed true to its ideals. Nearly 40% of all questions centered around Bitcoin’s ethos, signaling that the community’s interest extends well beyond price speculation.
Participation was highest in East and Southeast Asia, where AI adoption and crypto education are accelerating. Questions were submitted in over ten languages, with users turning to GetAgent not only to trade smarter but to think deeper about the meaning of decentralization and trust.
The campaign also revealed how trading behavior and AI engagement now overlap: 90% of core GetAgent users actively traded in the past 30 days, with activity peaking between 10 PM and midnight. VIP users showed 12% higher engagement in customized AI prompts than regular traders, highlighting a growing reliance on AI for decision-making and strategy refinement.
Key Takeaways and Future Outlook
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Philosophy drives participation: 40% of questions were reflective or idealistic, highlighting a deeper cultural and moral connection to crypto’s roots.
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AI is shaping trading intelligence: Users increasingly integrate GetAgent into real-time decision-making, merging data with instinct.
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VIPs use AI more proactively: Their behavior shows higher confidence in AI tools and greater personalization of strategies.
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Cultural curiosity is global: 90 countries participated, proving that the conversation about Satoshi, and about crypto’s meaning, belongs to everyone.
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The next phase: As crypto enters an AI-powered era, platforms like Bitget are evolving beyond exchanges into intelligent ecosystems that connect knowledge, trading, and imagination.
Global Footprint of Crypto AI Users
GetAgent’s global community reflects the expanding reach of crypto and AI across regions. Engagement was strongest in East Asia, with Southeast and South Asia emerging as fast growing hubs driven by younger, mobile-savvy users. Europe and Latin America contributed steady activity, often characterized by more research driven and education based questions, showing how AI is becoming a tool for both learning and decision making across diverse markets.

Participation spanned a wide range of languages, with 75% of English-language questions coming from non-English-speaking countries, an early signal that AI-powered assistants are helping reduce traditional barriers to financial literacy. This linguistic diversity highlights how AI is enabling a more inclusive form of global knowledge-sharing, bringing new voices into the crypto conversation regardless of background or location.
AI Adoption and Trading Behavior
Trading activity among GetAgent’s core users remains consistently high, reflecting strong engagement and active portfolio management habits. Nearly 90% of users placed trades within the past 30 days, and 75% had done so within the last week, a clear indication that GetAgent attracts an audience of frequent, hands-on traders.

Peak trading activity typically occurs on weekdays, especially between Monday and Tuesday nights, with the most active hours concentrated between 10 PM and midnight. Interestingly, GetAgent query patterns mirror this rhythm: user questions and AI interactions spike between 8 PM and midnight, suggesting that traders are turning to the platform for real-time market insights and decision support during their most active sessions.
During daytime hours, the type of engagement shifts. Queries become more research-based, focused on market tracking, strategy development, and portfolio planning, showing that GetAgent serves as both a learning companion and a live trading assistant. The integration of the Ask Satoshi campaign reinforced this dual purpose, with many questions submitted during active trading windows. This overlap highlights users’ philosophical curiosity about crypto’s roots along with tactical reflections on market sentiment and strategy execution.
VIP vs. Regular Users
The campaign revealed clear differences in how VIP and regular traders engage with GetAgent. VIP users use the AI assistant seamlessly into their daily trading workflows, with 82% accessing it directly through K-line charts for real-time insights. They were also more hands-on, with 12% more likely to type custom queries manually, often focused on market cycles, portfolio hedging, and macroeconomic trends.
On the contrary, regular users tended to rely more on pre-suggested questions, using GetAgent as a guide for learning and discovery. This contrast highlights how AI is serving two distinct roles within Bitget’s ecosystem: for newcomers, it’s a teacher helping to build confidence and understanding, while for experienced traders, it has evolved into a trusted partner in execution in fast moving markets.
Inside the Minds of Crypto Users: What They Asked Satoshi
When given the chance to “speak” with Bitcoin’s creator, users asked questions beyond profits, asking about purpose. Across two weeks of the campaign, users around the world turned to GetAgent’s Ask Satoshi mode to pose questions that blended philosophy, humor, and genuine curiosity.
The most common question, asked by nearly 40% of participants, was, “Has Bitcoin stayed true to Satoshi’s vision?”, reflecting a deep, ongoing interest in whether the crypto world has remained aligned with its original ideals. Others wondered, “Would Satoshi invest in AI?” (12%), “When will Bitcoin become the world’s main currency?” (10%), “Why did Satoshi disappear?” (9%), and “Can Bitcoin be used for education or social good?” (7%).

Regional differences added a rich cultural dimension to the conversation. While some gravitated toward philosophical questions about decentralization and Bitcoin’s purpose, others were more intrigued by Satoshi’s identity and legacy, while a small but sizable group focused on technical and security topics such as quantum computing.
Conclusion
Seventeen years after Bitcoin’s creation, Satoshi’s ideas remain as alive as ever, only now, they can talk back. The #AskSatoshiWithGetAgent campaign turned curiosity into conversation, proving that crypto users don’t just trade for profit; they trade to learn, question, and build the future.
As AI and blockchain continue to merge, Bitget’s Universal Exchange vision ensures that the next generation of crypto traders won’t just invest. They’ll interact.
Methodology
The findings in this report are based on anonymized and aggregated data collected over a 30-day period from a globally distributed set of GetAgent users. The analysis distinguishes between VIP and regular user segments, and examines interactions across various markets, including copy trading, strategy trading, grid systems, and futures activity. To ensure user privacy, no individual messages were viewed or interpreted by humans at any stage, with all insights generated through automated pattern analysis rather than content-level review. The resulting dataset reflects broad behavioral trends rather than personal information, offering a high-level view of how traders around the world are using AI to shape their decision-making in the crypto markets.
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