This content is provided by a sponsor.
Minara Hosts “AI × Web3 Innovation Night Tokyo,” Showcasing AI-Native Finance and the Next Wave of Stablecoin Adoption

PRESS RELEASE.
Tokyo, Japan — February 17, 2026 — Minara hosted its first premium offline event, “Minara | AI × Web3 Innovation Night Tokyo,” bringing together builders, traders, and ecosystem leaders to discuss the emerging intersection of AI agents, stablecoins, and on-chain execution.
About Minara — and the traction behind the movement
Minara is building a personal AI CFO for digital finance—an AI agent layer designed to help users research, decide, execute, and automate strategies across on-chain markets through chat, workflows, and real-time execution.
At the event, Minara shared key performance milestones reflecting rapid adoption across core markets:
- $200M+ total trading volume (as of Feb 7)
- $41M peak single-day volume (February ATH)
- A growing user base concentrated in Japan, South Korea, and North America
- Strong organic visibility, including trending on Japanese Twitter (X) during the period
These signals point to accelerating demand for AI-native interfaces that can translate intent into execution—especially in volatile markets where speed, discipline, and risk controls matter.
Panel 1: The First-Ever USDC × JPYC Dialogue — Why Stablecoins Matter Now
A central highlight of the night was the stablecoin panel featuring USDC and JPYC, focused on how stablecoins are already being adopted beyond retail usage—particularly in enterprise settlement and emerging AI-driven transaction flows.
A key theme discussed was that the next major battlefield won’t just be “payments” in the traditional sense, but AI-native commerce, including:
- Human → AI payments (users delegating purchase or allocation decisions to agents)
- A2A (agent-to-agent) settlement, where agents transact autonomously under defined permissions and controls
The panel framed stablecoins as a neutral settlement layer for this future—often described as a “common currency” that bridges humans and AI systems. The discussion aligned with Japan’s growing momentum around yen-linked stablecoins and regulated rails that support innovation.
Panel 2: Lucian × PalPal — How Minara Changes Investment Decision-Making for Web3 Traders
The second panel brought a practical, trader-forward lens to AI adoption, featuring Japanese top-tier KOLs Lucian and PalPal discussing where AI trading is genuinely useful today—and what must evolve next.
Rather than positioning AI as a shortcut to outsized profits, the conversation emphasized repeatable decision frameworks, execution discipline, and the importance of risk-aware design—especially as more users adopt AI tools under real market stress.
This segment resonated strongly with the audience because it stayed grounded: AI-led trading becomes meaningful when it helps users reduce mistakes, manage downside, and operate consistently, not when it promises “one-click riches.”
Lilia’s Keynote — Minara’s Vision: From Tools to a Financial Agent That Acts
Later in the program, Lilia (Head of Japan Market, Minara) delivered a keynote on Minara’s product philosophy and long-term mission.
According to Lilia, Minara’s recent momentum has helped push “AI trading” into a more mainstream conversation—turning it from a niche narrative into a topic that traders and builders are actively debating: how AI can move from analysis to structured decision-making and real execution while still keeping users in control.
Lilia then outlined Minara’s long-term vision: Minara is not simply building another trading tool, but a personal AI CFO for digital finance—a system that can help users research, decide, execute, and automate with transparency and discipline, especially under real market volatility.
Importantly, she emphasized that sustainable growth will be defined not only by volume and features, but by how well the product listens and improves. Lilia shared that Minara’s next phase will place a strong focus on customer support and building a tighter feedback loop—so that every user’s experience, concerns, and suggestions can be captured and reflected in product iterations.
Bitget Wallet Keynote — Yudai Highlights “Best Software Wallet 2025” and What’s Next
The event also featured a keynote from Yudai (Japan Growth Manager, Bitget Wallet), covering the wallet’s latest momentum and product direction, positioning Bitget Wallet as an execution-first gateway for everyday Web3 users.
A key milestone highlighted was Bitget Wallet being recognized as “Best Software Wallet 2025,” reflecting strong global user trust and continued product adoption.
Yudai also spotlighted Earn Plus, a DeFi yield product that allows users to easily access Aave lending yields through Bitget Wallet’s user-friendly interface. Built around the Base network and USDC, Earn Plus has received particularly positive feedback from users worldwide for its seamless, low-friction experience—especially as stablecoin-based yield becomes a core use case for on-chain finance.
From a trading and execution perspective, the keynote emphasized Bitget Wallet’s competitiveness on cost: compared with other wallets, Bitget Wallet aims to offer one of the lowest swap fee experiences, helping active users reduce friction across frequent on-chain trades.
Looking Ahead
“AI × Web3 Innovation Night Tokyo” marked a milestone for Minara’s Japan community—and a signal that the market is ready for the next phase: AI agents that can participate in finance responsibly, with stablecoins as a core settlement layer.
Minara will continue expanding community programs and future events across 2026 as it builds toward a more programmable, AI-native financial stack.
_________________________________________________________________________
Bitcoin.com accepts no responsibility or liability, and shall not be liable, whether directly or indirectly, for any loss, damage, claim, cost, or expense of any kind, whether actual, alleged, or consequential, arising out of or in connection with the use of, or reliance upon, any content, goods, or services referenced in this article. Any reliance placed on such information is strictly at the reader’s own risk.














