Launching today
Radaric
AI feed reader that learns your editorial taste
65 followers
AI feed reader that learns your editorial taste
65 followers
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.
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?
@thamibenjelloun Thanks Thami, glad that part stood out, it's the one I use most myself.
Honest answer: almost no training was needed. Before it ever saw my decisions I wrote down the rules I actually judge by: a set of global editorial rules, plus rules for each source. So the filter started close to my taste from the first pass, and after that it was small corrections here and there, not a long learning curve. A short reason on a rejection does more than a hundred silent thumbs down
You get a news feed tailored to your interests, pulling from many different sources. Sounds promising.
@maria_anosova yeah, exactly! Thank you for your support 💚
Kirill, good luck with the launch!
@vasilyeu thank you Daniel! 💚
Hey Kirill, congratulations on the launch!
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.