Multi-Platform Trend Finder

See what's trending right now across 12+ platforms — all in one dashboard. Live data from Wikipedia (top pageviews), YouTube (via Invidious API with region support), Twitter/X (via open source frontends), Google Trends (RSS feed), Reddit, Hacker News, and GitHub is fetched in real-time. Trends for Instagram, TikTok, Bing, Baidu, and Yahoo are estimated by our trend engine. Click any trend to copy it.

Wikipedia LIVE

Fetching top pageviews...

YouTube LIVE

Fetching trending videos...

Instagram Estimated

Generating trends...

TikTok Estimated

Generating trends...

Twitter / X LIVE

Fetching live trends...

Google Trends LIVE

Fetching trending searches...

Bing Estimated

Generating trends...

Baidu Estimated

Generating trends...

Yahoo Estimated

Generating trends...

Reddit LIVE

Fetching live data...

Hacker News LIVE

Fetching live data...

GitHub LIVE

Fetching live data...

Multi-Platform Trend Finder Guide

Our Trend Finder combines live API data from platforms with client-side CORS support (Wikipedia Pageviews API, YouTube via Invidious API, Reddit, Hacker News, and GitHub) with a smart trend estimation engine for platforms where live data is not available client-side (Instagram, TikTok, Twitter/X, Bing, Baidu, Yahoo). The estimation engine uses current date, season, day of week, and a curated database of 500+ trend templates and 300+ keywords across 12 categories to generate relevant trend suggestions that change daily.

Frequently Asked Questions (FAQ)

Q: How does the Trend Finder get data without API keys?

A: Wikipedia (Wikimedia REST API), Reddit, Hacker News (Firebase), and GitHub provide public JSON APIs with CORS headers enabled for client-side fetch requests. YouTube data is accessed through Invidious API instances which cache YouTube data and expose CORS-friendly endpoints. Twitter/X trends are fetched from Nitter open source frontends (privacy-respecting Twitter interfaces). Google Trends data is accessed via their RSS feed which provides daily trending search topics.

Q: Is the Wikipedia data real?

A: Yes! Wikipedia pageview data comes directly from the Wikimedia REST API and shows the most-viewed articles on English Wikipedia. This is a great proxy for what people are searching and reading about globally, similar to Google Trends.

Q: Is the YouTube data real?

A: Yes! YouTube trending data is fetched from Invidious API instances, which are open-source YouTube frontends that cache and serve YouTube's public data. The data reflects currently trending videos across all categories. You can select a region from the dropdown to see trends from different countries.

Q: Why are Instagram/TikTok/Bing/Baidu/Yahoo trends estimated?

A: These platforms do not set CORS headers on their APIs, which means browser-based JavaScript cannot fetch data from them. Our trend estimation engine generates relevant suggestions based on current date, season, and hundreds of curated trend templates and keywords across 12 categories.

Q: How often do the trends update?

A: Live data (Wikipedia, YouTube, Reddit, HN, GitHub) refreshes every time you click "Refresh All Trends" or reload the page. Wikipedia data is typically 1 day behind due to their processing pipeline. Estimated trends change daily based on the current date seed.

Q: Can I use these trends for content creation?

A: Yes! The Trend Finder is designed specifically for content creators, marketers, and journalists. Use it to discover content ideas, find trending topics for your niche, identify viral-worthy subjects, and plan your content calendar across multiple platforms.

Q: What categories do the trends cover?

A: Our database covers 12 categories: Technology, Entertainment, Sports, Politics, Health & Wellness, Fashion & Beauty, Food & Travel, Finance & Business, Education & Science, Music, Gaming, and Lifestyle. Each platform gets trends relevant to its audience.