Click

Click is a platform that gives AI agents richer context than plain web search. Instead of just retrieving links, Click pulls structured data from LinkedIn, YouTube, flights, hotels, financial filings, X, Reddit, and more. For example, an agent can review LinkedIn profiles and recent posts, read YouTube interview transcripts, and check financial KPIs — all to produce a meeting brief with priorities and risks. It can also search flight options, read hotel reviews on Google Maps, and scan Reddit for activity ideas, outputting a complete itinerary.

What sets Click apart is its breadth of integrated sources and the way it delivers organized results. The tool focuses on specific domains: social media analysis (LinkedIn, X, Instagram, TikTok), travel (flights, hotels, Google Maps), business intelligence (company financials), and event data. Each query returns not just raw data but summaries with counts and context — like “Reviewed 3 profiles, 24 posts, and 43 reactions” or “Evaluating 214 flight options for 4 people.” This makes it easy for an AI agent to decide what to use. The interface shows a live feed of which sources are being consulted and what was extracted.

Click is built for anyone whose AI agents need real, actionable details — sales teams preparing for meetings, marketers researching influencers, or event planners coordinating travel. It’s backed by Y Combinator and NVIDIA Inception, and it’s designed to plug into existing workflows. If you’ve ever sent an agent to search the web and gotten back a list of links, Click gives you the actual context — profiles, transcripts, fares, reviews — ready for your agent to use.