HeyNews Is Live: An Editorial AI That Learns Your Newsletter Voice from Your Archive
HeyNews is live. Connect your archive, monitor your sources automatically, and generate drafts in your own voice. Here is what we built, why, and what ships today.
HeyNews is live. Connect your archive, monitor your sources automatically, and generate drafts in your own voice. Here is what we built, why, and what ships today.
Newsletter production has six stages. ChatGPT handles one. Here is an honest technical comparison between a general AI chatbot and a tool built for the job.
We used HeyNews to publish 550 newsletter issues across 10+ formats before opening it to the public on May 12. Here is what that year of dogfooding actually taught us about voice, AI drafts, and editorial trust.
Newsletter production has three pricing paths: DIY, freelancer, and editorial intelligence tool. Run the math honestly and the cheapest path is rarely the one you assumed.
Generic AI erases five specific elements from your newsletter before readers notice the byline. Here is the craft inventory of what disappears, with the research behind it.
Newsletter content curation workflow is five subtasks running in parallel, not one. Most tools solve only one. See what each stage actually costs you weekly.
Your newsletter voice is the relationship your readers actually subscribed to. What recent research reveals about voice, AI, and what keeps readers subscribed.
The draft is done. Your newsletter production time is just getting started. A breakdown of six post draft tasks quietly eating your evening, with the data.
Sixty two percent of creators experience burnout, and it gets worse with experience. The newsletter industry is celebrating record growth while the people behind that growth are running out of fuel. This post explores why newsletter burnout is structurally different from other forms of creator fatigue, what parasocial relationships have to do with it, and three interventions that go deeper than "take a break.
Your newsletter doesn't have a writing problem. It has a production problem. And you've been solving the wrong one.