With the rapid development of blockchain technology and the cryptocurrency field, new events, projects, and gameplay are constantly emerging in the Web3 world. In this world of non-stop information bombardment, residents of Web3 need to follow hundreds or even thousands of Twitter influencers, browse mainstream media websites in the crypto field, and constantly monitor new messages in Discord communities in order to keep up with the industry's pace of change.

Real-time information acquisition, understanding background knowledge, and grasping complex concepts are processes that people in the Web3 world must go through whenever a new event occurs.

To address the heavy workload of daily hot topic tracking and high-frequency multi-source information retrieval, Clab, a professional AI assistant product in the Web3 field, has emerged.

Product Testing Experience

After receiving the product invitation code, we first asked Clab about the recent high-profile Friend.tech on Twitter over the past 20 days. Answering this question requires not only the timeliness of the database but also the ability to summarize a large amount of content from different sources. In addition to a brief introduction of the project, Clab provided some of the main features of the product and its data milestones in its response:

If the same question were asked on Google, the results list provided by Google would require the questioner to further filter the content, continue to search for answers within the content sources, and then integrate the content from different sources on their own:

Entering the hot search module on Twitter, it can be seen from the screenshot that the hot searches are updated hourly. Under a hot search about "the future and confidence of PEPE coin," there is an AI summary of the hot search: "As several members of the founding team sell the supply, traders share their views on the future of the frog-themed meme coin PEPE. The community is coming together to support the new Pepe and believes in its potential."

We directly asked about the hot search: "Why is the community optimistic about PEPE?" Clab's AI assistant provided clear answers to each question:

We further inquired, "What are the key points discussed in the community speech that reignited confidence in PEPE?" Clab's response was well-organized, listing the answers one by one:

Even with the ongoing events, there is still enough content sources to support the data. For an AI product, this requires frequent database updates and sufficient data sources.

What Can Clab Do?

Massive Knowledge Base Updated in Minutes

As a vertical AI assistant product in the Web3 field, Clab's knowledge base covers not only industry basic concepts and popular project information but also a large amount of content from Twitter influencers, industry media articles, in-depth industry research reports, and KOL blog posts. According to Clab's official disclosure, the knowledge base is updated at a minute level, allowing it to provide maximum answers to users' hot topic questions through almost real-time updates, effectively reducing the workload and difficulty of collecting, understanding, and integrating information for users.

GPT4 Model Technology Support

In terms of AI capabilities, Clab has chosen the GPT4 Model as its technical support. By cross-verifying multiple sources of information and combining the product's internal machine learning technology, Clab's assistant is expected to provide better accuracy, logical ability, and richness compared to traditional AI assistants.

Hot Now on Twitter in the Crypto Field

Furthermore, the "Hot now on Twitter" feature of Clab's product is more focused on solving the problem of discovering and obtaining fresh news for users. Clab filters and analyzes a massive amount of information, refining the current hot topics and calculating the level of heat for each event. Currently, this hot search list is updated on an hourly basis, allowing users to observe the rise and fall trends of new events and discover potentially hot events.

If users have a deeper understanding of the events on the list, they can directly ask Clab questions or follow-up questions within the corresponding hot search. Clab's AI assistant will answer the user's questions based on the context of the hot search content or the question.

Why Clab?

Clab's greatest advantage lies in its real-time updated knowledge base and dynamic Twitter hot search update feature.

Currently, AI assistants based on the GPT4 model are not new in the market and can generally explain or summarize some basic concepts. However, their ability to answer questions has always struggled to keep up with industry changes. For new products appearing in the market and new projects spreading rapidly on social media, the explanatory ability of AI assistants is quite limited. To truly provide valuable information to Web3 users, Clab needs to put more effort into its database. Currently, Clab's database information is updated at a minute level, and the Twitter hot search list is also updated on an hourly basis. This ensures the assistant's real-time information reserve and its ability to provide comprehensive and accurate answers to users' needs for understanding new events based on fresh data reserves.

In the future, they will continue to optimize the content and richness of the AI assistant's responses, enabling it to better help users understand market sentiment and provide precise sentiment push notifications based on different user interests. Clab has revealed that the product's point and airdrop plan are already in deployment.

In the face of an overwhelming number of information sources, Clab hopes to not only be an assistant that can answer industry questions but also help users stay at the forefront and have strong knowledge base support. It aims to not only become a more vertical and professional search engine for users in terms of functionality but also help users discover hot topics, seize opportunities, and assist in decision-making.

In terms of the team, Clab's CEO has been deeply involved in the Internet industry for many years, has extensive experience as a top VC, and has led the development and operation of many industry-leading mobile Internet products.

With the common goal of "providing better products and services for Web3 users," Odaily and Clab.AI have officially reached a strategic cooperation. In the future, Clab's AI assistant will be integrated into Odaily to provide in-depth information and help users gain a more comprehensive and insightful understanding of the industry with the assistance of a professional AI assistant.

Currently, the Clab product is still in the gray testing phase and has opened applications for the Waitlist. Holders of an invitation code can become the first batch of trial users. You can participate in the Clab invitation code lottery through the official Twitter of Odaily (@OdailyChina).

For more information about Clab, please follow the official Twitter of Clab (@Clab_AI).

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