What games are most similar to Amaze: Interactive VR Movies?

The most similar games to Amaze: Interactive VR Movies include 1 multi screen media player gallery video wall photo slideshow wizard app, Inception VR, Weelco VR, and more. These recommendations are based on shared tags, gameplay mechanics, and player behavior patterns.

What genre is Amaze: Interactive VR Movies?

Amaze: Interactive VR Movies is a Animation & Modeling, Utilities, Video Production game with popular tags including Nudity, Utilities, Video Production, VR, Animation & Modeling.

Best nudity games like Amaze: Interactive VR Movies?

If you're looking for more nudity games like Amaze: Interactive VR Movies, try 1 multi screen media player gallery video wall photo slideshow wizard app, Inception VR, Weelco VR. These share the Nudity tag and similar gameplay elements.

How does Nodal find games like Amaze: Interactive VR Movies?

Nodal uses a hybrid recommendation system that combines tag similarity analysis with collaborative filtering from player behavior data. We analyze which games are frequently played by the same players and share similar tags to Amaze: Interactive VR Movies. You can tune the blend between content-based and community-based recommendations.

Games like Amaze: Interactive VR Movies but more utilities?

To find games emphasizing utilities, use Nodal's tag filters to prioritize Utilities alongside Nudity. You can also explore the utilities tag page directly.

Games Like Amaze: Interactive VR Movies

60+ similar titles based on shared tags and player behavior. Themes include VR, Utilities, Video Production, Animation & Modeling.

Steam Store Browse Tags About Privacy Terms

Be amazed by the best interactive VR movies and more, only on AmazeVR.

Reviews: Mixed — 69% — of 84 reviews

Released: 2018-09-11

Developer: AmazeVR, Inc

Genres: Animation & Modeling, Utilities, Video Production

Platforms: Windows

Median playtime: 1.1 hrs

Mean playtime: 29.2 hrs

Players ≥ 1 hr: 54%

View on Steam →

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Modeli

Games Like Amaze: Interactive VR Movies

Shared themes:VR Utilities Video Production Animation & Modeling Early Access 360 Video Free to Play

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Amaze: Interactive VR Movies

Sep 11, 2018

Be amazed by the best interactive VR movies and more, only on AmazeVR.

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Bongo Cat

Mar 5, 2025

Bongo cat needs your help. Bongo cat needz more hatz!!! Every time you press a key, Bongo cat will punch your taskbar. Type, click, play, work to collect more points. Which hats will you find?

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Vegas Infinite by PokerStars

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Brioche Puppet

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Free and Open-Source VTuber Software. MMD and VRM Animation & Model. MediaPipe Video Detector. VMC Protocol Motion Receiver.

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Focus Simulator

Mar 13, 2025

Practice Pulling focus On 11 Total different Lenses and a Multitude of scenarios!

Games like Focus Simulator

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Amaze: Interactive VR Movies

Be amazed by the best interactive VR movies and more, only on AmazeVR.

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Release DateSep 11, 2018

Current playersN/A

Review Score75.1% – Mixed

Total reviews84

DeveloperAmazeVR, Inc

PublisherAmazeVR, Inc

PlatformsWindows

Websiteamaze.us

How to Use This Page

Find games similar to your favorites using a hybrid recommendation engine, and optionally tune the results to match your taste. This page includes multiple recommendation models, including collaborative filtering (player behavior) and tag-based similarity to surface games you might love.

What do the different models mean?

•Content: Finds similar games only using Steam tags. Disregards all player behavior data. Note: this model's accuracy depends on how well the tags reflect the game, which can be less reliable for newer or smaller titles.
•Community: Finds games using only player behavior ("people who play X also play Y"). Disregards all tags.
•Community Variants (Mode I–VII): Alternate community engines with different behaviors. Users often prefer different modes, so try a couple and keep the one that best matches your taste.
•Blend: A customizable mix of any two models for more balanced or personalized recommendations.

What is the graph showing?

•It's a "map of Steam tags." The graph uses tag similarity to project games into a 2D space, revealing clusters of games that share similar themes and mechanics.
•Position = tag similarity (compressed). We're squeezing 400+ tags (and their combinations) into 2D, so some detail is inevitably lost. Overall, local neighborhoods should still be quite accurate.
•Size = popularity. Bigger nodes generally mean more widely played games.
•Color = whatever you pick. Use the color dropdown to switch between cluster views (and other color modes).
•Important: The left-hand ranking shows the true recommendation order. It's computed using the selected model's full similarity space, not the 2D map.

How does re-ranking work?

The re-ranking sliders let you personalize the list without changing the underlying model.

•All sliders at 0 = default ranking for the current model.
•As you add weights, we re-rank the results to emphasize what you care about (e.g., more niche, more recent, higher rated, etc.).

What does the purple score bar mean?

•The white vertical line shows the game's score under the model's original ranking.
•The purple bar shows the game's score after your tuning is applied.

Frequently Asked Questions

Why is the #1 game score ~95% in every model?

Because each model produces scores on its own internal scale (different ranges, different distributions). To make the UI readable, we normalize scores so they're best interpreted as relative rankings, not whether one model's raw score is "bigger" than another's.

Why are two games close on the graph but far apart in the list?

The graph is a 2D tag-only map (compressed). The list is computed using the chosen model in its full similarity space. So the map is great for intuition and discovery, but the ranked list is the accurate ordering.

What's the difference between Community variants (Mode I–VII)?

Each mode is a different recommendation engine trained on Steam community co-play patterns. No tags are used here. The main difference is how similarity is measured, which changes whether results lean toward bigger, widely played games or tighter, more aligned neighbors. For example, starting from Hades, one mode may favor large games that many Hades players also own, while another will favor smaller roguelites that are more directly aligned, even if the shared audience is smaller. Try a couple of modes and stick with the one that matches what you mean by "similar."

Why did you make this?

Because people love great games, and most recommenders are either a black box or too generic. I wanted something high-quality, visual, and customizable, built from a stats / machine learning mindset.

Quick Tips

•Hover games in the list to highlight them on the graph
•Don't sweat the absolute % too much, focus on relative order
•Click around the graph to discover clusters you didn't know you liked