News Platform

AV Scanner News

Real-time incident tracking and community news for the Antelope Valley

Next.js 15Payload CMSPostgreSQLFacebook Graph APIVercel

01

Overview

AV Scanner is a hyperlocal news platform that aggregates incident reports from LASD and CHP scanner activity across the Antelope Valley. Posts are automatically ingested from a Facebook page via the Graph API, categorized by an AI-powered classification engine, and published to a fast, SEO-optimized frontend. The site serves as the go-to source for breaking incidents — from crime and traffic to fires and missing persons — with 1,300+ reports tracked and growing.

02

Quick Facts

role

Solo Developer

type

Hyperlocal News Platform

stack

Next.js 15, Payload CMS 3, PostgreSQL, Vercel

focus

Automated Content Pipeline & Local SEO

03

What It Does

features ~ avscanner

01 Automatic ingestion of new incident posts the moment they go up — no manual reposting

02 Smart auto-categorization that sorts every post into the right section without human review

03 Full-text search across every incident in the archive

04 Searchable reference of 200+ LASD and CHP radio codes for the community

05 Community tip submission with instant team notifications

06 Near-real-time updates — new incidents appear within a minute

07 Built to rank in search for local incident queries

08 Scheduled background syncs that keep the feed fresh without anyone touching it

04

Gallery

05

Deep Dive

From Scanner Activity to a News Platform

The core challenge was turning a messy Facebook feed — with no consistent formatting and no categories — into a structured, searchable news source residents could actually rely on. New posts flow in automatically, get sorted into the right category (crime, traffic, fire, etc.) without anyone reading them first, and become searchable across the full archive. The site replaces "scroll Facebook hoping to spot something" with "go here, filter to what you care about, get on with your day." For the team, almost everything that used to be manual — reposting, tagging, archiving — now runs on its own.

06

Outcomes

+ 1,300+ incidents tracked and categorized automatically since launch

+ Near-real-time publishing — new incidents appear within a minute

+ 200+ scanner codes indexed and searchable for community reference

+ Zero manual sorting required — every post lands in the right category on its own

+ Strong local search visibility driving organic traffic from incident-related queries

+ Community submissions reach the team instantly so nothing slips through

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