Nextdoor’s biggest redesign adds 3 AI features for 100M users

Nextdoor has unveiled its biggest app redesign ever, introducing three AI-powered core features: real-time safety alerts, local news from trusted sources, and neighborhood recommendations. The overhaul aims to transform the platform from a neighborhood bulletin board into a comprehensive local information hub for its 100 million users.

The big picture: Nextdoor is leveraging AI to create a more useful and engaging neighborhood app that goes beyond typical social media complaints to provide genuinely valuable local information.

What you should know: The redesign centers on three main components that address different aspects of neighborhood life.

• Real-time safety alerts provide information on daily weather, traffic, and critical incidents like power outages, severe storms, and wildfires through a dynamic neighborhood map.
• Local news from trusted sources delivers relevant stories from over 3,500 local vetted publishers across the US, UK, and Canada directly in users’ feeds.
• AI-powered recommendations called “Faves” use machine learning to analyze 14 years of neighbor conversations and provide quick, summarized responses to local questions.

How it works: The new features integrate AI technology to make neighborhood information more accessible and actionable.

• Safety alerts appear on an interactive map that enables conversations with neighbors and public agency partners like fire departments.
• The News feature will be available in more than 75% of US cities on Nextdoor, with stories tailored to each neighborhood’s location.
• The Faves feature launches first in select US markets and can answer questions like “What is the best place to hike with kids?” by summarizing years of actual neighbor conversations.

Why this matters: The redesign addresses a key challenge in local information discovery by combining AI efficiency with authentic community knowledge.

• Nextdoor says “Neighbors have long turned to Nextdoor in moments of crisis,” positioning the platform as essential infrastructure for neighborhood communication.
• The AI-powered recommendations feature is described as “just like asking a knowledgeable local,” potentially making neighborhood expertise more accessible than traditional search methods.
• The approach mirrors Google Maps’ similar AI feature that compiles user restaurant recommendations, suggesting this could become a standard for local discovery platforms.