What it does
TopicRadar aggregates trending topics from seven platforms: HackerNews, GitHub, arXiv, StackOverflow, Lobste.rs, Papers with Code, and Semantic Scholar. Users can either select from one-click presets (Trending AI & ML, Trending Startups, Trending Developer Tools, Trending Research) or define custom topics to track. The tool ranks results by relevance, engagement, recency, or a balanced approach. It removes duplicate content, includes metadata like engagement metrics and publication dates, and outputs results as JSON datasets or formatted Markdown reports.
Who it is for
The tool targets people doing market research, competitive intelligence, trend monitoring, and content creation. The one-click presets suggest an audience focused on AI, startups, and development. Builders and researchers who currently visit multiple sites daily to stay informed are the primary use case.
Pricing
Pricing starts from $0.01 per actor start. The tool is available to try for free.
How it stands out
TopicRadar pulls from seven sources simultaneously rather than forcing users to check each site individually. The presets remove configuration friction for common interests. The smart deduplication across sources means users avoid seeing the same story multiple times. Flexible ranking strategies let users optimize for what matters to them, whether that is relevance or recency.
What a founder should check
First, verify how the seven source platforms react to automated scraping. Some may block or change their structure, which would degrade the product. Second, assess whether users actually prefer one aggregated interface over existing news apps, social feeds, and email newsletters that already cover these sources. Third, examine the switching cost: if users are already paying for competitive intelligence tools or have built internal workflows, the $0.01 per run cost matters less than the effort to integrate and maintain a new tool.
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