video1.0<iframe src="https://www.loom.com/embed/f6e543eee1de4a80acd1ca6cb9177907" frameborder="0" width="2232" height="1674" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>16742232Loomhttps://www.loom.com16742232https://cdn.loom.com/sessions/thumbnails/f6e543eee1de4a80acd1ca6cb9177907-c72939e38a232466.gif204.272This Loom explains how Control-F automates extracting private equity fund data from public sources using natural language search. It demonstrates setting up a tracker to alert you when new IRR figures for real estate funds are released, filtered to US LPs and configured for notifications via Slack or Teams. The output publishes matching LP results and the relevant metrics directly in a Control-F Slack channel with previews so you do not need to open documents. It also highlights a validation feature that shows the exact page and text section where each metric was found, improving how quickly and confidently teams can verify data.