what is trend-viewer fr?

trend-viewer is a local trend dashboard that gathers what is popular across YouTube, Instagram Reels, X, Threads, TikTok, and AI news into a single web page running on your own computer. It is built using only Python's standard library, so there is nothing extra to install, and it runs entirely locally, meaning your login details and account lists stay on your machine rather than being sent to any server. The project was built because each platform shows trends differently: YouTube cares about view counts and categories, Reels and TikTok need account level tracking, and X and Threads are mostly about text context and engagement numbers. Checking each platform separately every day is inefficient, so this tool pulls them all into one home briefing page, with dedicated tabs for trending searches, video rankings, an AI news feed, and even a weekly date idea finder. An analysis tab reads across seven channels, including Google Trends, YouTube, Reels, X, Threads, TikTok, and AI news, to spot when the same topic appears on multiple platforms at once and to estimate whether it is rising, holding steady, or fading, compared to earlier scans. This works offline using simple rule based matching, but if a local AI model is running nearby it can optionally add clustering and short written summaries. Data comes from public, unauthenticated sources for each platform, such as YouTube's internal search API, Instagram's public profile info endpoint, and a public TikTok API, so results can sometimes fail or be temporarily blocked, in which case the tool falls back to cached data or a direct link to the account. Users can bookmark items they like, and the app remembers what has already been viewed. It exposes a small set of JSON API endpoints for each platform tab, and account lists for Reels, X, Threads, and TikTok can be customized through simple configuration files.