About the platform
About Thothy
We help content creators, marketers, and brands discover tomorrow's viral trends today using AI-powered analysis.
Trend discovery
Find the pattern before it gets crowded.
Clearer synthesis
Turn raw movement into a reusable creative decision.
Action bias
Everything should end in a better next test.
Our Mission
In the fast-paced world of digital content, staying ahead of trends is crucial. But with millions of videos uploaded daily across platforms, manually tracking what's going viral is impossible.
That's why we built Thothy. Our AI-powered platform continuously monitors trending content, analyzes patterns, and delivers actionable insights directly to you.
We believe that everyone should have access to the same trend intelligence that big media companies use. Our mission is to democratize trend analysis and help creators of all sizes succeed.
What We Do
Trend Discovery
We crawl trending videos across platforms to discover emerging content patterns before they go mainstream.
AI Analysis
Our advanced AI analyzes hooks, emotional triggers, and engagement patterns to understand why content goes viral.
Daily Reports
Receive comprehensive daily reports with trends, insights, and actionable recommendations.
Pattern Recognition
Identify recurring patterns and themes across viral content to inform your content strategy.
Actionable Insights
Get clear, practical recommendations you can implement immediately in your content.
Real-Time Updates
Stay current with daily updates that keep you ahead of the trend curve.
Our Technology
Thothy is built on cutting-edge AI technology designed specifically for video content analysis.
Video Understanding AI
We use advanced video language models to understand content at a deep level, analyzing visual elements, audio, and context.
Trend Analysis Engine
Our proprietary algorithms identify emerging patterns across millions of videos, predicting trends before they peak.
Natural Language Processing
Advanced NLP powers our report generation, delivering insights in clear, actionable language.
Real-Time Processing
Our infrastructure processes hundreds of videos daily, ensuring you always have the latest insights.
How our research works
From raw data to editorial brief
01
Daily crawl
Our pipeline collects up to 10,000 short-form videos daily across YouTube Shorts, TikTok, Instagram Reels, and X, capturing metadata, engagement counts, and publish timestamps.
02
AI scoring
Each video is scored for virality (view velocity vs. platform baseline), hook effectiveness (opening 3 seconds), and engagement rate. Scores are normalized across platforms.
03
Pattern grouping
Videos are clustered by hook type, category, and format signals. Patterns that appear across multiple creators and platforms are flagged as candidates for editorial review.
04
Editorial review
Our research team evaluates flagged patterns for source clarity, cross-platform consistency, and whether they are early enough in the cycle to be actionable for creators.
05
Published brief
Approved patterns are compiled into dated reports with plain-language summaries, concrete creator takeaways, and methodology notes so every finding can be verified and applied.
Editorial identity
Thothy Research Desk
Trend Intelligence Editor
Thothy's editorial team compiles daily trend reports from a cross-platform video analysis pipeline covering YouTube Shorts, TikTok, Instagram Reels, and X. Each report goes through a five-step process: automated data collection, AI-assisted scoring, pattern grouping, editorial review for source clarity and actionability, and final publication with methodology notes. Reports are dated, attributed, and designed to be verifiable — every trend claim traces back to a specific data sample and analysis window.
The goal is simple: make each page easier to verify, easier to cite, and easier to turn into a better publishing decision. Every trend claim traces back to a specific data sample, platform, and analysis window. Reports include the sample size, platforms covered, and date range so readers can evaluate the evidence themselves.
Editorial review means checking that patterns appear across multiple creators and categories — not just one viral outlier — before recommending a structural move. If a finding can't be explained in plain language to a creator who has never heard of Thothy, it does not pass review.
Ready to Stay Ahead?
Join our waitlist to get early access to AI-powered trend intelligence.
Explore Thothy