YC S26 Project Click Launches Real-Time Research Service for ChatGPT and Claude
Aditya Asgaonkar announced the launch of Click (YC S26), a research service aimed at ChatGPT and Claude.
Click integrates real-time, source-supported context from professional and social platforms, financial data, markets, maps, etc., surpassing built-in web search capabilities.
Users can research individuals and companies, understand customer feedback on social platforms, and even compare real-time flight prices without leaving the chat interface.
The service is now live and can be tried by installing MCP.
The founder previously worked in the Ethereum-related field.
In terms of market mechanism, the product is demand-driven by large model tools, with developer and user resources flowing into enhancing the context of the MCP service; beneficiaries are AI users needing real-time multi-source data, while those under pressure are existing tools relying solely on general search.
Click is positioned as a real-time research enhancement layer within conversations.
Source: Public Information
ABAB AI Insight
Aditya Asgaonkar transitions from an Ethereum background to AI tool entrepreneurship, launching Click with YC support to address the contextual limitations of ChatGPT and Claude by providing multi-platform real-time data access, filling the gap between general search and professional research.
On the capital path, the project quickly integrates into the existing large model ecosystem in the form of MCP, motivated by reducing user switching costs and capturing research scenario traffic, with resources directly transforming from data source aggregation into tools usable within conversations.
Similar cases can be seen in the emergence of other AI agent tools and MCP servers, as well as the current trend of large models enhancing from general conversation to professional workflows, with the AI application layer in a phase of pluginization and real-time data competition.
The structural judgment indicates a technological substitution, with the mechanism being that real-time multi-source context can significantly enhance research accuracy and efficiency, enabling general chat interfaces to possess capabilities closer to professional tools.
ABAB News · Cognitive Laws
Real-time source-supported context is a key shortcoming in large model research capabilities.
MCP is becoming the standard interface for AI tool expansion.
Conducting professional research within conversations will reshape the way information is obtained.