Radar listens to news and social in 30+ languages, judges the relevance of every item, catches trends before they explode, and writes your briefing every morning. The work of an enterprise platform, without the enterprise price.
21
sources · 15 free + 6 premium
30+
languages analyzed
20
intelligence modules
<1%
of the cost of enterprise tools
Open source
Commercial listening platforms cost thousands of euros a month and lock their intelligence behind annual contracts. Radar is open source: the same core workflow — listen, analyze, decide, create — built on free public data and the Claude API, that anyone can run for the price of an API key. Or nothing at all, if you just want to collect data.
It began as a one-person project with a simple conviction: in the age of AI, a single person who orchestrates models well can put enterprise-grade tools in anyone’s hands. Building it in the open turns that into a shared, extensible foundation — bring your own keys, own your data, and shape the tool to your needs. The AI collects, reads, evaluates, writes and alerts; the decisions stay with people.
“The capabilities that used to cost thousands a month, in the hands of anyone — for a thousandth of the price.
That is the whole point of building this out in the open: democratizing media intelligence, one deployment at a time.”
The features of enterprise social-intelligence platforms, rethought with generative AI at the core.
15 free public sources: worldwide news via GDELT (100,000+ outlets in 65+ languages) and Google News, SEC filings, arXiv papers, Stack Exchange, GitHub, plus Reddit, Bluesky, Mastodon, YouTube, Discord, Telegram and unlimited RSS feeds. Plus 6 ready premium connectors: X, Instagram, Facebook, TikTok, LinkedIn and NewsAPI (150,000 outlets).
Every item is read by AI and rated 1 to 5 stars against your topic, with the reason why. The noise disappears.
Topics accelerating abnormally are caught before they explode, with an explanation of why they are growing.
Every morning, an AI-written briefing on the last 24 hours: what happened, sentiment, risks and opportunities.
A full-screen control room with an animated radar, counters and a continuous feed. Project it in a meeting or on an office screen.
Not just what is said: who is pushing which thesis, flagging suspicious coordination patterns.
A conversational AI analyst: ask questions in plain language and get answers backed by numbers and citations as evidence.
Topics × Sentiment map, hourly heatmap, sentiment waterfall, conversation clusters and a cause-effect chart: visual analyses standard tools don’t offer.
Three signals no listening tool tracks: for listed clubs, match results crossed with fan sentiment and share price; who edits a brand’s Wikipedia page and whether it looks like a fight; and App Store, Google Places & Yelp ratings in one place. Plus Share of search — Google Trends interest next to Share of Voice.
From a concept to a multi-format kit — LinkedIn, X thread, Instagram, video hook, newsletter — plus 10 alternative hooks and conversational refinement of every draft, in the brand’s voice.
PDF, Excel, Word, PowerPoint with editable charts. And read-only expiring links for managers and clients.
Feature by feature, an honest comparison with the leading enterprise platforms.
| Feature | Competitor products | Radar |
|---|---|---|
| Public sources (free in Radar) | ||
| Worldwide news (GDELT) | included | 100,000+ outlets, 65+ languages |
| Aggregated news (Google News) | thousands of outlets | |
| Reddit, Bluesky, Mastodon, Hacker News | public social, no keys | |
| YouTube | free key | |
| Public Telegram channels | channel watchlist | |
| Unlimited RSS/Atom feeds | outlets, blogs, Google Alerts | |
| 30+ language coverage | ||
| Boolean queries (AND / OR / NOT) and geographies | ||
| Premium sources (private, paid) | ||
| NewsAPI, 150,000 news outlets | included in license | connector ready, key separate |
| X (Twitter) | included | connector ready, key separate |
| Instagram & Facebook (Meta) | included | connectors ready, token separate |
| TikTok | included | connector ready, access separate |
| included | connector ready, token separate | |
| Multi-year historical archive | 90 days, extendable | |
| AI analysis | ||
| Multilingual sentiment | ||
| Automatic topics & entities | ||
| Explained 1–5 relevance per item | with AI rationale | |
| Built-in news translation | 8 languages, permanent cache | |
| AI-written executive daily brief | ||
| Conversational analyst over your data | “Ask the data” | |
| Semantic search by concept | ||
| Natural-language topic definition | ||
| Advanced insights | ||
| Topics × Sentiment map (quadrant bubbles) | volume, sentiment, growth | |
| Hourly & daily heatmap | ||
| Sentiment waterfall (what moved the tone) | ||
| Conversation clusters (families of discourse) | ||
| Cause-effect chart (events → consequences) | ||
| Intelligence | ||
| Alerts on volume spikes & sentiment drops | ||
| Emerging trends with the “why” | ||
| Coordinated-narrative detection | ||
| Crisis playbook with draft statement | 30 seconds from the alert | |
| Historical timeline of industry events | ||
| Actor & stakeholder map | ||
| Natural-language weekly comparison | ||
| Benchmark & share of voice | ||
| Share of search (Google Trends vs competitors) | ||
| Push notifications | email & app | Telegram |
| Audience demographics (age, gender) | not derivable from accessible sources | |
| Beyond mentions | ||
| Sport: match results × fan sentiment × share price | for publicly listed clubs | |
| Wikipedia edit monitoring (edit wars, anonymous activity) | ||
| Review ratings (App Store, Google Places, Yelp) | separate tools | one section, no AI needed |
| Output & collaboration | ||
| Excel, Word, PDF export | ||
| PowerPoint with editable charts | static images | native Office charts |
| Shareable reports with expiry | ||
| War Room / animated live display | TV dashboard | rotating animated view |
| Content Studio: multi-format kit (5 channels) | from one concept to every channel | |
| Content Studio: Hook Lab + conversational editing | ||
| Influencer profiles with outreach draft | ||
| Multi-project | ||
| Platform | ||
| Open source & self-hostable | AGPL-3.0 | |
| Data in your own database | ||
| Custom features in days | vendor roadmap | |
| Configurable AI spend cap | ||
| No contractual lock-in | annual contracts | |
| Monthly cost | €800–2,000+ | ~€10–40 |
In plain language too: AI turns the description into a multilingual monitoring query.
It collects, translates, rates and organizes content every day. Automatic alerts if something blows up.
Dashboards, briefs, maps and export-ready reports: decisions made with the data in front of you.
Sign in with your credentials and open the dashboard: the data is already there.
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