Practical overview
When it fits
Use Trendradar when a broad stream of news or public trends needs to become a filtered, analyzed, and distributed monitoring feed.
Who it is for
- People monitoring public opinion or emerging trends
- Teams building focused news and intelligence feeds
- Users who need RSS and multi-platform aggregation with keyword filtering
- Developers integrating collected news data into MCP-based conversational analysis
Documented uses
- Collect trends and news from multiple platforms and RSS feeds
- Filter coverage around selected keywords
- Screen, translate, and analyze news with AI
- Generate sentiment insights and trend predictions
- Send briefings and alerts through notification channels
Requirements & limits
The project is publicly available as open-source software under the GPL-3.0 license.
- RSS and multi-platform sources can be combined in one monitoring workflow.
- Keyword filtering narrows collected coverage before alerts or analysis.
- AI capabilities include screening, translation, analysis briefs, sentiment insights, and trend prediction.
- MCP support enables natural-language analysis of collected trend and news data.
- Docker support suits containerized self-hosted deployment.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Configure a focused RSS and keyword monitoring feed
Create a selected news feed by combining RSS sources, multi-platform aggregation, and keyword filtering.
Before you start
- Trendradar
- RSS sources
- Topics or keywords to monitor
Steps
Configure RSS subscriptions and the available multi-platform sources.
Define keywords for the topics or public trends to follow.
Apply the configured filters to screen collected news.
Connect a supported notification channel for delivery of selected results.
Expected outcome
A focused monitoring feed that screens collected news around selected topics before distribution.
Guide limitations
- The documented material does not specify the exact configuration fields or notification setup procedure.
Deploy Trendradar with Docker
Run Trendradar in a containerized self-hosted setup.
Before you start
- Docker
- A self-hosted environment
Steps
Obtain the Trendradar project or its Docker deployment resources.
Deploy the application using Docker.
Configure local or cloud data storage for the monitoring setup.
Expected outcome
A containerized Trendradar deployment for collecting and analyzing trend and news data.
Guide limitations
- The documented material does not provide exact Docker commands, environment variables, or storage configuration steps.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 1 October 2026
- Original website title
- sansan0/TrendRadar · Official homepage title · retained in its source language