What games are most similar to ButteredLilly's Avatar Remote?

The most similar games to ButteredLilly's Avatar Remote include Auto Clicker, kana!kana?, Fences 6, and more. These recommendations are based on shared tags, gameplay mechanics, and player behavior patterns.

What genre is ButteredLilly's Avatar Remote?

ButteredLilly's Avatar Remote is a Casual game with popular tags including Utilities, Casual, Point & Click, Clicker, 2D.

Best utilities games like ButteredLilly's Avatar Remote?

If you're looking for more utilities games like ButteredLilly's Avatar Remote, try Auto Clicker, kana!kana?, Fences 6. These share the Utilities tag and similar gameplay elements.

How does Nodal find games like ButteredLilly's Avatar Remote?

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 ButteredLilly's Avatar Remote. You can tune the blend between content-based and community-based recommendations.

Games like ButteredLilly's Avatar Remote but more casual?

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

Games Like ButteredLilly's Avatar Remote

60+ similar titles based on shared tags and player behavior. Themes include Utilities, Software, Singleplayer, Indie.

Steam Store Browse Tags About Privacy Terms

Buttered Lilly's avatar remote allows you to control another user's avatar's toggles in VRC.

Reviews: 2 user reviews — 100% — of 2 reviews

Released: 2024-05-29

Developer: ButteredLilly

Genres: Casual

Platforms: Windows

View on Steam →

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一款从假名开始带你入门日语的游戏（软件？）
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Games Like ButteredLilly's Avatar Remote

Shared themes:Utilities Software Singleplayer Indie Casual Point & Click 2D

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Model

Tunedi

ButteredLilly's Avatar Remote

May 29, 2024

Buttered Lilly's avatar remote allows you to control another user's avatar's toggles in VRC.

Seed

kana!kana?

Jul 30, 2021

一款从假名开始带你入门日语的游戏（软件？）

Games like kana!kana?

16 Personalities Simulator

Coming soon

本游戏是基于荣格心理学理论，以及现在时代的环境制作的测试分享交流游戏。游戏免费，没有任何内购要素，给您带来纯净的测试和分享体验。

Games like 16 Personalities Simulator

Pegglo

To be announced

Join Pegglo, the hedgehog hero, in this Peggle-like game with a roguelike twist! Tackle a series of unique levels, master critical hits, and choose powerful upgrades. Every game is a new adventure!

Games like Pegglo

Cutie Panda: Find the Legend

Dec 24, 2024

Take care of a panda and watch it grow up every day! Team up with panda to tackle fun missions, collect clues, and uncover the long-lost legend of the magical panda world. Adventure awaits!

Games like Cutie Panda: Find the Legend

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ButteredLilly's Avatar Remote

Buttered Lilly's avatar remote allows you to control another user's avatar's toggles in VRC.

Currently exploring

Steam

YouTube

Steam 250

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Release DateMay 29, 2024

Current playersN/A

Review Score85.9% – 2 user reviews

Total reviews2

DeveloperButteredLilly

PublisherButteredLilly

PlatformsWindows

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