David Luces

Reporter

AS SEEN ON

Preston's Summary

David Luces is a Reporter at Staten Island Advance/SILive.com and Patch.com. He covers a diverse range of themes including regional interest, world news, crime and justice, and government and politics, with a particular focus on law enforcement, the judicial system, and transportation issues. David's work has been featured in various publications, highlighting his commitment to delivering insightful journalism on pressing local and global topics.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

New York City, United States (Local)

Coverage Attributes:

Beta
Evolving Stories: 38 %
Breaking News: 35 %
Government Announcement: 17 %
Legal Policy Regulation: 4 %
Event Coverage: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Elections
  • Government
  • Politics
  • Public Policy
  • Security Policy
  • Tech Policy
  • Court Proceedings
  • Legal Reform

Pitching Insights

David Luces's coverage is heavily focused on local breaking news and evolving stories, especially those related to crime and public safety. He also covers government announcements relevant to his geographic focus.

Considering this, if you have insights or information related to ongoing criminal cases, public safety issues (such as roadwork updates or school bus strikes), missing persons reports, or local law enforcement activities in the New York/Staten Island area, your pitch may be well received by David. Additionally, offering perspectives on how these events impact the community could be valuable for his reporting.

Given that he focuses on Staten Island and New York City at large with a strong emphasis on crime-related topics within these areas, tailoring pitches to specific local contexts would likely increase their relevance and appeal to him.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data