<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/10c741332c3e4cb7981ebc3efa822cc9&quot; frameborder=&quot;0&quot; width=&quot;1626&quot; height=&quot;1219&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1219</height><width>1626</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1219</thumbnail_height><thumbnail_width>1626</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/10c741332c3e4cb7981ebc3efa822cc9-a80280d650e8d904.gif</thumbnail_url><duration>168.069</duration><title>Boroly Demo</title><description>This Loom explains how Boroly helps renters evaluate apartments in New York City using web research and neighborhood data. It checks nearby rent prices, shows what locals say from sources and blogs, and lets users enter their preferences, commute needs, and monthly budget before clicking check a place to see results on a map. It also uses Nimble Web Agents to crawl neighborhood sentiment and sources like hoodmaps, and searches for nearby amenities such as laundromats, restaurants, and cafes. For specific addresses, it can show 311 complaints and violations.</description></oembed>