Multi-source collection
Collects data from free sources out of the box, including GDELT, Google News, Bluesky, Mastodon, Hacker News, Telegram, RSS, and Reddit/YouTube with a free API key.
Radar is a self-hostable media intelligence and social listening app for monitoring public sources, analyzing mentions, and generating briefs or content outputs with optional Claude AI. It is aimed at individuals and small teams that want an enterprise-style workflow without a cloud account.
Radar is an open-source media intelligence and social listening application that can be self-hosted locally. It is positioned as an alternative to enterprise tools such as Talkwalker and Brandwatch, and it is built around public data sources plus optional Claude AI.
The project is designed for individuals or small teams that want to monitor mentions, group news into stories, analyze sentiment and relevance, and produce briefs or content outputs without needing a cloud account. Basic collection runs offline with an embedded PGlite database, while AI features activate only after you add your own Anthropic key.
Collects data from free sources out of the box, including GDELT, Google News, Bluesky, Mastodon, Hacker News, Telegram, RSS, and Reddit/YouTube with a free API key.
Adds premium connectors for X, Instagram, Facebook, TikTok, LinkedIn, and NewsAPI when you provide your own key.
Uses Claude for sentiment analysis, relevance scoring, story clustering, daily executive briefs, conversation clusters, cause-effect chains, and quality scores.
Includes a Content Studio for turning a concept into a multi-format kit, exploring alternative hooks, and refining drafts conversationally in a brand voice.
Generates branded PDF, PowerPoint, Word, and Excel exports, with read-only share links for distribution.
Provides modules for dashboard monitoring, listening streams, media story grouping, benchmarking, audience analysis, content performance, insights, alerts, and a full-screen war room view.
Track mentions from news, social platforms, forums, and feeds in one place, then filter by source, sentiment, language, period, or text to isolate relevant items.
Group related mentions into stories, review sentiment shifts, and use daily executive briefs or cause-effect chains to understand what is driving a topic.
Compare share of voice, trend lines, and sentiment across configurable entities when you need a lightweight benchmark view rather than a full enterprise platform.
Turn a concept into a structured content kit, explore alternative hooks, and refine the draft conversationally before exporting it for review or reuse.
Share a read-only view or export findings to PDF, PowerPoint, Word, or Excel when stakeholders need a report instead of direct app access.
Radar is self-hostable and can run locally with no database, no cloud account, and no keys required for basic data collection. AI features stay disabled until you add an Anthropic key.
Yes. The README says the user interface and AI outputs are in English, and full internationalization is on the roadmap.
Radar outputs branded PDF, PowerPoint, Word, and Excel exports, and it also supports read-only share links.
The project is licensed under GNU AGPL-3.0. If you run a modified version as a network service, you must make the source available under the same license.
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