AI news · October 13, 2026
Honeyjar automates PR research but keeps the send button human
Honeyjar says its waitlist gained 10,000 signups in 24 hours; the October 12 beta drafts PR work but does not publish or send without a customer.
- reported first-day signups
- 10,000
- time to reach that waitlist count
- 24 hours
- PR tasks named in the report
- 4
Honeyjar is building a set of AI tools for company communications. TechCrunch says it can help write announcements, find relevant reporters, surface speaking opportunities, scan news and social channels, and track coverage. The startup's first 24 hours produced 10,000 waitlist signups, and early beta users include Nextdoor, Coco Robotics, Bloomberg Beta, Mission North and Full Picture. The product is aimed at companies that need regular communication work but cannot staff every task.
The important control is simple: Honeyjar does not autonomously send or publish. A customer reviews the draft and decides what leaves the system. That reduces the risk of an incorrect announcement, but it also means the product must save enough research and editing time to earn a place in the workflow. The public site is not a self-serve product yet. A small team can copy the model now by using AI for research and drafts, then measuring correction time, reply quality and coverage rather than counting generated pitches.
What you can do with it
Join the public waitlist only if the workflow matches your work; there is no open self-serve trial to run today. In the meantime, build a private brief template that collects source links, audience, claims and a human approval step. Compare the time saved against normal research for five announcements before paying for automation.
Our take
Honeyjar is commercially interesting because it sells a complete communications workflow, not a generic writing box. The 10,000-signup figure is company-reported and the beta is closed, so demand is not the same as retention. Keeping publication with the customer is a sensible product choice; the next proof is repeated use and measurable coverage quality.
Source: Honeyjar / TechCrunch — Made With Models writes the brief; the reporting is theirs.