HeyNews.co

Unlike general AI writing tools that produce generic newsletter text, HeyNews trains on the specific publication's existing content to understand the voice the editor has established over time.

The result is AI-generated drafts that sound like the newsletter's author rather than like generic AI output, requiring editing rather than complete rewriting to reach publication quality.

The editorial voice learning component is the platform's central technical feature.

HeyNews analyzes the archive of past newsletter issues to identify the publication's characteristic patterns: sentence structure, recurring segments, the way topics are introduced and transitioned, level of formality, use of humor or direct address, and the editorial perspective on the subject matter.

This trained model then generates new drafts that mimic these patterns when given a topic brief or a set of source materials to synthesize.

For newsletter creators who struggle with the time investment of writing each issue from scratch, this reduces the drafting phase significantly while preserving the voice they've built with their audience.

HeyNews targets independent newsletter creators, journalists running their own publications, and content teams managing regular email newsletters who want to reduce writing time without sacrificing the consistent editorial voice that distinguishes their publication from generic AI-written content.