Eventr

What if you could predict what events someone might attend based on their historical Linkedin posts. This would be incredibly valuable for account executives or anyone in the GTM space who connect with their clients offline. I have a friend who is an account executive, and he preaches that the most effective way to do high ticket B2B sales involves offline meeting, and connecting with prospective clients in real life. Online outreach gets diluted as spammy or “noise,” but real life face-to-face interaction with other humans is the best way to position yourself as a individual in their mind, not an email address. The best way to do that is to attend the same events as that person. But how do you know what events they person will be at? To solve this problem, I built an agent called Eventr that uses the following Brightdata services to intelligently scrape and parse linkedin” Brightdata Linkedin Scraper: To fetch posts and meta data Brightdata SERP: To get the urls of the events mentioned in the posts Brightdata unlock: To scrape structured content from each event’s page without running into bot blockers I use this data to extract the name, location, and date of each event. I then project this information in a list view, globe view, and timeline view. This makes it each to visualize the events that this person attends. I used three Brightdata APIs, the OpenStreetMap API, ThreeJS (for the globe), Claude API, Flask, and React to build this.