Machine learning

Predict your YouTube views before you publish

An ensemble machine learning model — Random Forest + XGBoost — trained on historical video data to help creators make smarter content decisions.

Why it matters

Stop guessing. Start planning with data.

Every video takes hours to script, shoot and edit. Our predictor gives you an estimate of how it may perform — so you can compare ideas, tweak details and invest your time where it counts.

Compare content ideas

Test different categories, lengths and publish times side by side.

Pitch brands with confidence

Share expected reach when negotiating sponsored videos.

Instant results

Enter your video details and get a prediction in seconds.

How it works

From raw data to a prediction

An ensemble approach combines two strong models for more stable, reliable estimates.

Data collection

Historical YouTube video data and metadata

Feature engineering

Cleaning, encoding and building predictive features

Random Forest

Many decision trees averaged to reduce variance

XGBoost

Gradient-boosted trees that correct each other’s errors

Ensemble prediction

Combined output for a final views estimate

The models

Two models, one smarter answer

Random Forest

Builds many decision trees on random subsets of the data and averages them — robust against noise and overfitting.

XGBoost

Trains trees sequentially, each one fixing the mistakes of the last — known for high accuracy on tabular data.

Ensemble learning

Combining both balances their strengths, giving more consistent predictions than either model alone.

What influences views?

Illustrative example of the kinds of signals the model learns from.

Channel subscribers
High
Past video views
High
Video category
Med
Publish day & time
Med
Video duration
Low
Who it’s for

Built for creators and the brands that work with them

YouTubers

Plan your upload calendar around the ideas most likely to perform.

Brands & agencies

Estimate campaign reach before committing budget to a sponsored video.

Creator managers

Benchmark multiple creators and make data-backed recommendations.

FAQ

Questions about the predictor

Is the AI predictor free to use?

Yes — you can try the live predictor for free, no sign-up required.

How accurate are the predictions?

Predictions are estimates based on patterns in historical data. They’re best used to compare ideas and plan content, not as guaranteed numbers. We continuously work on improving model accuracy.

Why does the app take a few seconds to load?

The predictor is hosted on a cloud platform that may “sleep” when idle. The first load can take a little longer while the server wakes up.

Can I get the predictor on my own website?

Yes — AI content insights can be included with our Creator Pro and Brand plans. Contact us to learn more.

Try the AI predictor now

Enter your next video’s details and see its estimated views in seconds.