Bring RSS, Telegram, X and YouTube into a feed that learns from what you approve, reject and explain. Repeating coverage of the same event goes into one story with original links. Built by a newsletter editor. From $9/mo.
Hey Product Hunt, I’m Kirill.
I edit Zhurnalus, a weekly design digest with 500+ issues since 2016. Finding material for it means going through hundreds of posts across feeds and channels. After doing that for years, I built a tool to help with my own curation.
That tool became Radaric. I’ve spent nearly a year turning it from something I used myself into a public product.
The part I care about most is being able to teach the filter. A topic like “design” is a starting point, but it doesn’t capture an editor’s taste. A practical case study, a minor product update and a piece of corporate PR can all match the same keywords. I want to be able to explain which one belongs in my digest, and why.
In Radaric, you describe what matters in plain language. Then you approve or reject posts and, when it helps, add a reason. That feedback gives the AI context for future decisions. You can see its reasoning and revisit what it filtered out.
It brings together RSS, Telegram, including private channels, and YouTube. Twitter/X is available on Pro. When several sources cover the same event, Radaric groups the posts into one story and keeps the original links attached.
If you edit a newsletter, curate a digest or follow an industry for your work, I’d love to hear how this fits the way you read. The filter needs your input; it won’t know your taste on day one.
Lite is $9/month. Pro is $59/month and adds X. There’s a 30-day money-back guarantee, and you can reach me directly at kirill@radaric.pro.
What’s a distinction you make when choosing what to read that a keyword filter never gets right?
— Kirill
In comms work, the hardest line for a keyword filter to draw is between a story and the press release behind it. Both name the same company, but only one tells you something changed. I'd be curious whether Radaric can learn to separate original reporting from syndicated copies of the same wire item, since that is most of the noise in a media monitoring feed.
You get a news feed tailored to your interests, pulling from many different sources. Sounds promising.
Being able to explain why you rejected a post, not just thumbs down, is the part I'd use most. After 500+ issues of Zhurnalus, how many approve/reject decisions did it take before the filter started matching your taste?
About Radaric on Product Hunt
“AI feed reader that learns your editorial taste”
Radaric launched on Product Hunt on October 22nd, 2026 and earned 86 upvotes and 10 comments, placing #16 on the daily leaderboard. Bring RSS, Telegram, X and YouTube into a feed that learns from what you approve, reject and explain. Repeating coverage of the same event goes into one story with original links. Built by a newsletter editor. From $9/mo.
Radaric was featured in Productivity (663.7k followers), News (36.9k followers) and Artificial Intelligence (481.7k followers) on Product Hunt. Together, these topics include over 307.9k products, making this a competitive space to launch in.
Who hunted Radaric?
Radaric was hunted by Kirill Oleinichenko. 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 Radaric stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kirill Oleinichenko