Google’s NotebookLM adds ‘Deep Research’ tool, support for more file types https://t.co/WnuTsPGt0y ...

If you missed the memo, check it out 👇Messari (@MessariCrypto):🚨 NEW: Introducing Deep ResearchYour on-demand research analyst, powered by MessariAI.Generate bespoke, analyst-grade research reports with just one click.Exclusive to Enterprise users. https://t.co/UhilkEzNVW ...

Messari's Deep Research allows you to generate bespoke, analyst-grade research reports with just one click.Get 20% off Enterprise to start your custom research journey.Use code DEEPRESEARCH20 at checkout: https://t.co/zu9mxtllr0 https://t.co/sQzpcqbkf7 ...

With Messari Enterprise get unlimited access to Copilot and its all NEW Deep Research feature for on-demand, analyst grade reports.Use code DEEPRESEARCH15 for 15% off your first year.https://t.co/zu9mxtllr0 ...

RT Diran Li (@diran_li)We're excited to launch the Deep Research feature to bring the power of Messari Research x AI at your fingertips!I've personally been using this the past 3 months and its been amazing to see how much in-depth information it can research while being factual correct + useful.Here's an in-depth 40 pages Hyperliquid report generated by Deep Research: https://t.co/ksWQEKpHgK ...

Core Insights - Multi-Agent systems have emerged as a significant trend in the AI field, enhancing the efficiency and effectiveness of AI applications [2][3]. - Agnes AI, a product developed by SapiensAI, has gained traction with over 300 million registered users and 200,000 daily active users within four months of launch [7][6]. Group 1: Agnes AI Features - Agnes AI integrates various functionalities such as Deep Research, Wide Research, AI Design, AI Slides, and AI Sheets, catering to different user needs [8][14]. - Deep Research focuses on in-depth analysis through iterative questioning, while Wide Research utilizes multiple agents to handle large-scale tasks simultaneously [14][16]. - The platform emphasizes user intent understanding and task complexity to optimize the assignment of tasks to agents [15][16]. Group 2: Market Position and User Base - Agnes AI targets young users and professionals, particularly in mobile and web-based work environments, promoting a lightweight approach to productivity [7][41]. - The product aims to replace traditional office tools, offering a free quota for users, which enhances user acquisition and retention [40][56]. - The AI office market is expected to grow significantly, with traditional products facing disruption from AI-native solutions like Agnes [42][44]. Group 3: Competitive Advantages - Agnes AI's multi-agent architecture allows for parallel task execution, improving speed and efficiency compared to single-agent systems [25][27]. - The product's design prioritizes user experience, aiming for rapid response times and high-quality outputs, which are critical in competitive markets [22][36]. - The company focuses on low customer acquisition costs and aims to capture a significant share of users who have yet to engage with AI technologies [50][52]. Group 4: Future Outlook - The AI market is anticipated to evolve rapidly, with Agnes AI positioned to capitalize on the shift towards AI-native applications [42][46]. - The company envisions becoming a leading player in the AI consumer app space, aiming to exceed the capabilities of existing products like ChatGPT and Perplexity [63][64]. - Agnes AI's long-term goal is to enhance accessibility to AI tools globally, particularly in developing regions, thereby expanding its user base [57][66].

RT Ishraq Alim (@ishraq8)Huge release from the Messari Team today!Deep Research combines everything Messari does best:1. World Class Research2. Cutting-edge AI tech3. Expansive crypto dataThe result: custom, on-demand long-form research reports.Check it out or DM me if you are interested in enterprise. ...

🚨 Launch offer: 15% off Messari Enterprise when you try Deep Research.Use code DEEPRESEARCH15 at checkout.Bespoke research. Automated diligence. Powered by MessariAI.Upgrade now → https://t.co/zu9mxtllr0 ...

Product Introduction - Messari introduces Deep Research, an on-demand research analyst powered by MessariAI [1] - Deep Research generates bespoke, analyst-grade research reports with one click [1] User Access - Deep Research is exclusive to Enterprise users [1]

Core Insights - OpenAI represents a technology-centric approach with a closed-source ecosystem, achieving user growth through "tech - blockbuster" strategies, with MAU surpassing 1 billion [1] - Since the launch of ChatGPT in November 2022, user engagement has increased significantly, with message volume growing over 7 times from launch to September 2025, and over 5 times from July 2024 to July 2025 [1] - OpenAI is transitioning from a product-based company to a platform-based company, positioning itself as "the Windows of the AI era," which is expected to lead to rapid revenue growth, with projections of reaching $200 billion by 2030 and a CAGR of 92% from 2024 to 2030 [1] - In the competition for users, ByteDance's Doubao and Tencent's Yuanbao are developing their respective platforms, with Doubao achieving significant MAU growth and positioning itself as a leading domestic AI application [1] Domestic Platformization - The AI entry point in China may revert to a software ecosystem, with Tencent and ByteDance each holding advantages, as their super apps dominate nearly 60% of internet user engagement [2] - Tencent's WeChat provides a social entry point, while ByteDance's Douyin dominates content entry, facilitating the platformization of Yuanbao and Doubao [2] - The core value of large models is shifting from "disruptor" to "enabler," with collaborative ecosystems being the optimal path for platform evolution [2] Investment Strategy - The dual-driven strategy of "ToC for branding and ToB for business" is emerging as an industry consensus, emphasizing the importance of brand reputation and user retention [3] - Platformization can drive large model vendors from a "subscription + API" model to a "platform revenue sharing" model, making user accumulation and platform transformation capabilities the focus of future competition [3]