HeyNews learns from your newsletter archive, monitors your sources, and generates publish-ready drafts in your voice. Native Beehiiv & Kit; archive imports from Substack or any newsletter with a public archive. 14-day trial, plans from $99/mo. PH50 → 50% off 12 months.
Hey hunters! 👋 Cagri here, co-founder of HeyNews.
We started HeyNews because we watched newsletter operators (including a few friends running 5-figure-MRR Beehiiv and Kit publications) lose 6 to 10 hours every week to the same loop: scan a hundred sources, pick the stories worth covering, draft something that sounds like them, ship it, repeat.
Generic AI tools couldn't do step 3. The drafts always sounded like AI.
So we built HeyNews to handle the production layer. The part we're proudest of is the voice training. You connect your newsletter (Beehiiv via API, Kit via OAuth, or any platform with a public archive: Substack, Ghost, Mailchimp, Medium), HeyNews reads your past issues, and the drafts come out sounding like you wrote them. Not "AI trying to sound human." More like "your style, on a Tuesday morning when you have time to write."
What's in v1:
- 🎙 AI Writers: They train on your past issues for tone, vocabulary, sentence patterns, and signature phrases. Different edition styles get different Writers, and each Writer improves with every send (we pull open and click data from your platform).
- 📡 Source curation: RSS, blogs, social profiles (X, LinkedIn, Instagram, TikTok), Reddit, and saved articles via a Chrome extension. Every story gets a relevance score against your audience.
- ✏️ Compose: Smart Select picks the best stories per section. One-click style updates and revisions by chatting. Subject line and preview text suggestions.
- ⚙️ Automations: Schedule drafts on your cadence. Review-before-send only. We never auto-publish. You keep editorial judgment.
- 📊 Analytics: Open rate, CTR, best-send-time heatmap, per-issue breakdown.
Plans start at $99/mo (Starter), with a 14-day trial OR 5 generated issues, whichever comes first. We ask for a card up front so the trial converts cleanly. Cancel any time before day 14 in two clicks, no charge.
Special for Product Hunt today: code PH50 gets you 50% off for 12 months on any plan, monthly or yearly, including add-ons. So Starter ends up at $49.50/mo for a year. Code is good through June 30.
We used HeyNews ourselves for over a year before launching it publicly. 550+ issues across 10+ formats. This isn't a beta. It's how we've been publishing all along. We'll be in the thread today, helping answer questions too.
We would love to hear from anyone running a newsletter. What's broken in your current workflow? Honest critiques are especially welcome. We'll be here all day.
Been watching Cagri and the team build this and it's exciting to finally see it live. The detail that sold me: they used HeyNews to ship 550+ of their own issues before opening it up. That's the kind of dogfooding that shows up in the product. Rooting for you all today!
The "step 3 sounds like AI" failure mode is the real wall for any voice-as-output product — generic LLMs produce competent-but-anonymous prose, and once a reader has caught that smell they can't unsmell it. Training off the archive solves a different problem than prompt-engineering does: it makes the model write like a specific person rather than like "a knowledgeable newsletter writer in general," which is the difference between something a reader subscribes to and something they unsubscribe from.
I hit a parallel problem on the audio side running ModeLoop, a small podcast on financial modeling. When I tried AI-generated show notes early on, listeners called them out almost immediately — not because they were wrong but because they didn't sound like me. Eventually I stopped using them. Curious how you handle the cold-start problem here — how many archive issues does HeyNews need before the voice match feels native to a reader who knows the publication well?
The "in your voice" part is what makes this interesting to me. I've tried AI draft tools before and the problem is always that they smooth out the rough edges that made my writing feel like me. Curious how HeyNews handles that does it pick up on style over time or is it more template-based? The Substack import is also a smart touch for people with an existing archive. Congrats on the launch.
Congrats on the launch — the “review-before-send only” choice feels important. For newsletters, the hardest part isn’t just generating words in a familiar style; it’s preserving editorial judgment when a story should *not* sound like the last 20 issues.
Curious how you handle deliberate voice shifts: e.g. a more urgent issue, a more personal note, or a sponsor-heavy edition where the usual cadence needs to bend without becoming generic?
The "in my voice" v. "more human" piece of the prompt is so key. Especially as we see more and more second and third human AI layers like Sinceerly and others start to pop up. Now it just needs the originality that the author brings to the table to be fully autonomous
The "learns from your archive" part is clever. I've seen so many newsletter tools that generate generic content — having it adapt to your voice is what makes it usable long-term.
I'm curious about the learning curve. How many past issues does it need before the suggestions start feeling like "you"? I run a bilingual blog (Spanish/English) for a YouTube creator tools platform and voice consistency across languages has been my biggest challenge.
Curious about the voice training minimum. how many past issues does the model need before the output actually sounds like you and not generic AI? most tools I've tested fall apart under ~20 examples
Concentrating a full day labor into about 5 minutes while keeping the operator's voice intact for that price is something! Reach out to mete '' at '' heybe . ai for partnership opportunities with a great product like HeyNews!
This is a good one. Voice training angle is what separates this from the generic tools. Training on actual past issues allows to pick up jargon, quirks and sentence patterns. Looks like the right approach! To stress-test - how it handles newsletters that deliberately vary their tone issue-to-issue? Does the model average out your style?
About HeyNews on Product Hunt
“Your newsletter, your voice, ready to publish in 5 minutes”
HeyNews launched on Product Hunt on May 12th, 2026 and earned 130 upvotes and 24 comments, placing #8 on the daily leaderboard. HeyNews learns from your newsletter archive, monitors your sources, and generates publish-ready drafts in your voice. Native Beehiiv & Kit; archive imports from Substack or any newsletter with a public archive. 14-day trial, plans from $99/mo. PH50 → 50% off 12 months.
HeyNews was featured in Newsletters (12.1k followers), Writing (59.2k followers) and Artificial Intelligence (468.5k followers) on Product Hunt. Together, these topics include over 107.5k products, making this a competitive space to launch in.
Who hunted HeyNews?
HeyNews was hunted by Cagri Sarigoz. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how HeyNews stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Cagri Sarigoz