Urgent.News

What's breaking now, across thousands of outlets.

AI

Honeyjar offers AI tools to improve PR and comms at every company

Could AI actually make PR better?

Honeyjar, a startup participating in TechCrunch Disrupt's Startup Battlefield 200, aims to revolutionize the PR process using AI technology. Founders Michelle Masek and Nadia Jamshidi, both seasoned PR professionals, have developed the platform to make expert PR advice accessible to all, regardless of their title or experience level. Masek and Jamshidi, who have a combined decade of experience in PR, acknowledge the challenges faced by startups seeking media attention and pitched Honeyjar as a solution.

Honeyjar automates various PR tasks, such as crafting announcements, identifying journalists to pitch, and uncovering speaking opportunities. However, its vision extends beyond mere press coverage. The platform aims to streamline the entire communications workflow by incorporating signals, context, strategy, judgment, timing, and execution. Honeyjar targets not only founders but also a wide range of individuals involved in strategic communications, including marketers, investors, authors, and school superintendents.

The startup attracted an overwhelming response with 10,000 signups in just 24 hours since launching its waitlist. Beta testers include tech startup Coco Robotics, investor Bloomberg Beta, and agencies Mission North and Full Picture. While Honeyjar can draft pitch emails and social media posts in the customer's voice, it is crucial that the human remains in control, ensuring the quality and appropriateness of the content.

Masek and Jamshidi are committed to infusing Honeyjar with the wisdom of seasoned PR professionals through the Comms Lab initiative. This approach ensures that the platform provides credible pitches and guidance on when to act and how to adapt to different situations. In some cases, Honeyjar might even advise founders that they are not ready for coverage, ensuring that only appropriate opportunities are pursued.

Written by urgent.news from TechCrunch's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at techcrunch.com →

More in AI

Run multi-node inference workloads using Ray LLM Deep Learning Containers

Learn how to deploy one large language model across two GPU nodes on Amazon EKS using the multi-node Ray LLM Deep Learning Containers, with separate prefill and decode nodes behind one…

  • Run LLM inference across multiple nodes using Amazon EKS and Ray DLCs
  • Separate prefill and decode nodes to improve performance in complex workloads
  • Ray LLM DLC with vLLM, Ray Serve, NIXL, and EFA simplifies deployment

Andrej Karpathy says this AI gap is widening

Renowned AI researcher Andrej Karpathy says the gap is widening among the small subset of the population that uses AI.

  • 75% of world's population, 6 billion, minimal LLM contact
  • 1-2 billion casual/infrequent ChatGPT-like users
  • 5,000 people with inside access to frontier AI systems

More from Monday 12 October →