Bernie Delinski

Staff Writer

Preston's Summary

Bernie Delinski is a Staff Writer at various publications including the Courier-Journal and the San Francisco Chronicle. He covers a diverse range of topics with a focus on regional interest and world news, crime and justice, and construction and real estate, often highlighting issues relevant to North America and LATAM. Bernie has been featured in multiple outlets such as The Moulton Advertiser and the Dothan Eagle, bringing attention to pressing stories from Alabama to significant events and conferences.

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

Geo Focus

Florence, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 19 %
Government Announcement: 17 %
Seasonal: 14 %
Press Release: 13 %
Breaking News: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Event Management Software
  • Event Platforms
  • Building Materials
  • ConTech
  • Construction Industry
  • Corporate Fraud
  • Financial Crimes
  • Insider Trading

Pitching Insights

Bernie Delinski's coverage is primarily focused on local news, events, law enforcement, and education in Florence, Alabama. He frequently covers breaking news and government announcements alongside entertainment news.

If you're looking to reach out to Bernie with a story idea or a source for his articles, consider providing insights or access related to local events, community initiatives, crime trends within the area of focus and educational developments. Additionally, if you can offer unique perspectives or exclusive information around these themes tailored specifically to Florence and the Shoals region of Alabama it could grab his attention.

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

Journalists With Similar Coverage:

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