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Radaric

Radaric is an AI-powered content curation system that filters and groups posts from sources such as RSS, Telegram, YouTube, and social platforms. It is designed for editors, researchers, and feed-heavy readers who want a shorter, personalized reading queue without losing access to original sources.

Radaric

AI-assisted content curation

Radaric is an AI-powered content curation system for people who monitor many feeds and want a shorter reading queue based on their own editorial preferences. It connects sources including RSS, Telegram, YouTube, and several publishing, social, research, and developer platforms, then evaluates new posts against criteria the user writes in plain language.

The system keeps rejected items accessible, explains its filtering decisions, and learns from approvals, rejections, saves, and opens. It also groups posts about the same event into a single story with links to the original sources, reducing duplicate coverage while preserving access to the underlying material.

Core features

Multi-source feed connections

Connect RSS, Telegram—including private channels—YouTube, and additional one-click sources such as Substack, Bluesky, Mastodon, Product Hunt, GitHub, and arXiv. Twitter/X account parsing is available on Pro.

AI filtering with explanations

Write what matters to you in plain language. Radaric evaluates each incoming post, assigns a confidence score, and provides a short explanation for the decision.

Personalized feedback learning

Approve, reject, explain, save, and open posts to provide feedback. The filter adapts to these decisions over time instead of applying one identical model to every reader.

Cross-source story aggregation

Posts covering the same event can be combined into one story across sources and languages, while links to the original posts remain available.

YouTube transcript analysis

For YouTube sources, Radaric uses the video transcript to assess the content, allowing the feed to be filtered without requiring the user to watch every video.

Feed import and setup options

Import many existing feeds at once from Feedly or Inoreader with an OPML file, or add supported sources individually.

Who it can help

  • Editors and curators

    Connect a large set of industry, publication, and social feeds, then use approvals and rejections to narrow the daily queue to items aligned with a personal editorial brief.

  • Research and trend monitoring

    Combine Telegram channels, RSS feeds, YouTube sources, and social posts in one monitoring workflow, with related coverage consolidated into a single story for review.

  • Feed-heavy readers

    Import an existing Feedly or Inoreader collection through OPML and reduce repetitive triage when moving to a more personalized filtering workflow.

  • Cross-language news tracking

    Review developments across languages and source types without opening every duplicate post; grouped stories retain the original links for source checking.

Pros and Cons

Pros

  • Learns from individual reading and editorial decisions rather than applying a single fixed filter to every user.
  • Supports a broad mix of feeds, including private Telegram channels, YouTube transcripts, RSS, and several one-click source types.
  • Shows reasons for filtering decisions and keeps rejected posts available for review.
  • Combines repeated coverage into stories while retaining links to each original source.

Cons

  • The site does not document collaboration, team workflows, or shared accounts in the available material.
  • Twitter/X account parsing is limited to the Pro plan; the Lite plan explicitly excludes it.
  • The available product information does not provide detailed technical limits or broader security and data-handling documentation beyond the stated Telegram behavior and encrypted credential storage.

FAQ

How do I set up Radaric?

Radaric connects RSS, Telegram, YouTube, and other supported sources, then checks new posts against criteria written in plain language. You can add feeds individually or import a hundred at once from Feedly or Inoreader using an OPML file.

What happens to posts that Radaric rejects?

No. Radaric keeps rejected posts available one click away and shows the AI's reason for each filtering decision.

Can Radaric read private Telegram channels safely?

Yes. Radaric's Telegram connection is read-only: it reads messages but does not send, modify, or delete them. The site states that Telegram credentials are stored encrypted.

How does story aggregation work?

Radaric groups posts about the same event across connected sources by comparing titles, content, mentioned names and entities, and publication times. Each grouped story retains links to the original posts.

Does Radaric offer a free plan or trial?

The site describes a paid Lite plan and a paid Pro plan, with a 30-day money-back guarantee. It also states that there is no free tier; the pricing page itself is an account sign-in or registration screen rather than a detailed plan listing.

Quick Facts

Category
AI content curation
Primary workflow
Connect feeds, filter with feedback, then review a shorter reading queue
Supported sources
RSS, Telegram, YouTube, Substack, Bluesky, Mastodon, Product Hunt, GitHub, and arXiv
Additional source
Twitter/X account parsing on Pro
Import method
OPML import from Feedly or Inoreader
Availability
Paid product; the site states there is no free tier