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At its core, Slither io is simple: you control a snake, and your goal is to eat glowing pellets (orbs) to grow as long as possible while avoiding other players. All the snakes are controlled by other people playing at the same time, which means you’re not just trying to beat the game—you’re trying to outlast real players.
Controls
You can play on a computer or mobile device. On a computer, you use the mouse to steer your snake and the left-click to boost. On a touchscreen device, just drag your finger to control direction and double-tap to speed up. Boosting makes your snake move faster, but it costs some of your snake’s length.
The Objective
There is no “end” to the game. You keep going until your snake crashes into another player or the wall, at which point your snake explodes into glowing orbs, and it’s game over. Other players can then eat the orbs you leave behind. The goal is to grow as large as you can, earn a high score, and maybe even make it to the leaderboard.
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Hello Voyage AI Community,
As a developer and a fan of the rhythm game Friday Night Funkin' (FNF), I’ve been exploring ways to improve how fans discover new content. With the FNF modding community producing thousands of unique mods (on platforms like GameBanana), finding a specific mod based on "vibe," "music style," or "difficulty level" is becoming increasingly difficult with standard keyword search.
I am considering a project that uses Voyage AI’s embeddings (like voyage-large-2) to build a semantic search engine for FNF mods. Here is the concept:
The Challenge: FNF mods have rich metadata—descriptions of the music (jazz, metal, lo-fi), the character's backstory, and mechanical difficulty. A simple search for "fast songs" might miss mods described as "high BPM" or "intense speed."
The Solution with Voyage AI: By embedding the descriptions and tags of thousands of FNF mods, we can create a vector space where users can search using natural language (e.g., "A mod with a creepy atmosphere and challenging electronic music").
Potential Implementation: Using Voyage AI's high-quality rerankers to ensure that the most relevant mods appear at the top, even if the user's query doesn't match the exact title.
Why FNF?
FNF is open-source and has one of the most active creative communities. It’s a perfect "stress test" for embedding models because the language used in the community is very informal and niche-specific.
I would love to hear your thoughts on:
Which Voyage model would be best for handling gaming-related slang and technical music terms?
Has anyone tried building a recommendation engine for gaming assets using Voyage AI yet?
Looking forward to your insights!