Bridging the Discovery Gap with AI-Powered search

[surajraikwar]

Trakt is the undisputed champion of tracking content, but many users note that discovery and filtering complex requests can be challenging. We often have a "vibe" we want to watch, but no easy way to translate that into actionable results on the app.

I propose implementing a new feature that leverages LLM, to bridge this gap.

🌟 The Proposed Solution: "Find My Next Watch" Search

I suggest updating the discovery tool where users can enter detailed, subjective requests in plain English.

The goal is to move beyond simple keyword search and genre browsing.

Examples of Input this tool would handle:

• Layered Vibe: "Show me a dark, gritty sci-fi movie from the late 90s that's similar to The Matrix but lesser-known."
• Subjective Need: "A lighthearted comedy series to binge-watch this weekend that has high user ratings."
• Exclusions & Context: "Documentaries about nature that I haven't watched yet, preferably short."

✅ Expected Benefits for Trakt

• Elevated Discovery: Makes Trakt a much more compelling destination for finding new content, not just tracking old content.
• Increased Engagement: Users spend less time leaving Trakt to find what to watch next.
• Modern Feature: Showcases cutting-edge AI integration, adding significant value to the platform.