



Three videos you could make.
Each with its payoff, what sets it apart and what it costs you.


See what's already out there.
The approaches other channels took, with cited examples.



Ask the data a question.
It describes the videos you gathered. It never predicts a winner.
Then read the evidence.


Research that keeps going.
Outliers. Videos doing far better than their channel usually does.
Niches. The channels in a niche, and what works for them.
Tracked Channels. The competitors you follow, in one place.
Saved Research. Save a search and it keeps collecting matching videos.
Formats. Title and thumbnail patterns to make your own.
Trends in your AI client. Current trends, ranked against your channel.
Or just ask.
Mittalmar in your AI clientCompare my food history collections with my tracked competitors and propose angles for a video about how supermarket food changed.
- Discover research datasets
- Analyze and compare stored research datasets
- Research a video topic
- Use a researched angle
Three directions are in the Project. The strongest: one apple, the whole story. 16 sources support it and 4 argue against it.
Which current trends fit my channel?
- Find channel-relevant trends
Two trends fit Label Reader, each with an angle you could take. Nothing is saved until you choose.