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Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit06/16 01:14

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit06/16 01:14

muShanghai Discusses Consumer AI: After Continuous Iteration of Large Models, Product Competition Moves Towards Scenarios and Experience

The roundtable discussion "Innovative Practices and Path Exploration of the AI Consumption Ecosystem" at muShanghai AI Week, featuring experts from model platforms, cultural apps, the open-source ecosystem, and music creation, delved into the practical paths for consumer AI products. A key consensus emerged: while AI model advancements lower prototyping barriers, the real challenge for enduring products lies beyond raw technology. True differentiation comes from deep scene understanding, data organization, user education, delivering emotional value, and building open ecosystems. The competition is shifting from "who has the stronger model" to "who best understands the specific user and scenario." Participants highlighted that application-layer barriers, such as accumulated contextual data and cultural localization (e.g., FateTell's translation of Eastern metaphysics for global users), are not easily erased by model updates. They cautioned that AI simplifies prototyping but not the core entrepreneurial hurdles: user acquisition, community building, and commercialization. The discussion emphasized that value must return to human needs—like emotional comfort (FateTell) or preserving the creative *process* in music-making, as highlighted by musician-developer Gao Jiafeng, rather than just outputting a final product. With the rise of AI Agents, user education is evolving from manual documentation reading to more guided, interactive learning within the product experience itself. Looking ahead 3-5 years, panelists foresee AI moving into the physical world via hardware and robotics, enabling more personalized services and addressing growing needs for companionship amidst technological anxiety. The future points towards "technology democratization," where AI assists diverse lifestyles, and cultural forms may be recombined, with emotional connection becoming paramount. Ultimately, as models continue to evolve, the products that endure will be those that meet genuine human needs, foster understanding, and build meaningful connections.

marsbit05/16 03:06

muShanghai Discusses Consumer AI: After Continuous Iteration of Large Models, Product Competition Moves Towards Scenarios and Experience

marsbit05/16 03:06

a16z on Hiring: How to Choose Between Crypto-Native and Traditional Talent?

Hiring in Crypto: Balancing Crypto-Native and Traditional Talent As the crypto industry grows, founders face the dilemma of whether to prioritize hiring professionals with blockchain experience or those with traditional tech backgrounds who can learn. The key is recognizing that crypto companies are still tech companies at their core and should apply proven hiring best practices. Crypto-native talent offers immediate productivity and is essential for roles involving high-stakes, specialized work like smart contract development, where errors can be catastrophic. However, traditional professionals from large-scale software companies bring valuable experience in scaling products, operational flexibility, and expertise in areas like fintech, UX, and security, which are crucial as crypto products target mainstream adoption. Recruiting requires tailored approaches. Some candidates may be hesitant due to crypto's volatility or complexity, while others are excited by its innovative potential. Assess candidates' motivations, curiosity, and alignment with the company's vision early. Emphasize the opportunity to shape technology's future and address financial incentives, such as token-based compensation, which can offer liquidity compared to traditional equity. Onboarding is critical. Identify knowledge gaps during hiring and design education programs, mentorship, knowledge-sharing sessions, and resources like blogs or courses to accelerate learning. Pairing new hires with experienced crypto professionals helps bridge gaps and fosters collaboration. Ultimately, successful teams blend both crypto-native and traditional talent, leveraging their strengths to drive innovation and growth.

marsbit04/19 01:17

a16z on Hiring: How to Choose Between Crypto-Native and Traditional Talent?

marsbit04/19 01:17

Odaily Interview with Trust Wallet CEO Felix: After 220 Million Downloads, What's Next?

Odaily interviewed Trust Wallet's new CEO, Felix, following the wallet's milestone of over 220 million downloads. The recent launch of the integrated Trade Menu, combining swaps, perpetual contracts, prediction markets, and meme tokens, addresses the need for faster, unified mobile trading experiences. Felix emphasized that the core challenge isn't user acquisition but deepening user engagement and activation. Key priorities for Trust Wallet are security (the non-negotiable foundation), user experience (reducing friction), functional breadth, and multi-chain support. The vision is an "intent-driven user experience" where AI suggests optimal paths for user goals while users retain full control. Trust Wallet's independence allows it to integrate the market's best liquidity, unlike exchange-linked wallets. Felix sees wallets evolving into a unique, AI-powered, self-custodial super-app-like layer for seamless on-chain interactions—a new paradigm beyond Web2 analogs. Leadership change aligns with this growth phase, focusing on rapid execution and product-led expansion.

Odaily星球日报03/16 11:18

Odaily Interview with Trust Wallet CEO Felix: After 220 Million Downloads, What's Next?

Odaily星球日报03/16 11:18

10 Days to Reach Bitget Futures V5, Take Away 5-Digit Platform Rewards, Can Ordinary People Replicate It?

Judy Lee, a cryptocurrency trader since 2018, rapidly advanced to VIP5 on Bitget's contract trading platform in just 10 days, earning substantial rewards. Initially investing in Bitcoin and Ethereum, she transitioned to contract trading during the 2020 market shift, adopting a high-risk, high-reward style. After a near-catastrophic loss in May 2021—where her account dropped 90% in hours—she rebounded by strategically re-entering the market, emphasizing strict risk management and avoiding over-concentration of funds. Her success on Bitget came from trading Ethereum within a tight range, capitalizing on volatility, and leveraging platform incentives like cash vouchers, event rewards, and low-fee, low-slippage execution. She highlights Bitget’s diverse contract offerings and VIP benefits as key advantages. While Judy’s aggressive approach may not be fully replicable, she advises novice traders to focus on risk control, continuous learning, and utilizing platform rewards and demo capital to gain experience sustainably.

深潮12/22 08:10

10 Days to Reach Bitget Futures V5, Take Away 5-Digit Platform Rewards, Can Ordinary People Replicate It?