Spotlight Feature
Our Thesis
Social platforms move too fast for humans to keep pace. Every day, hundreds of micro-trends flash across X, Farcaster, Reddit, and TikTok. Most are noise. A few evolve into catalysts such as memes, narratives, and moments that shape what we call the Internet Capital Markets.
In today’s AI-driven landscape, content is the new compute. What matters isn’t processing power but cultural context. The quality, velocity, and resonance of user-generated content has become the scarce input for narrative-driven systems, where attention directly moves markets.
We wanted to build a system that can catch those moments before they hit escape velocity. So we built an AI to do what humans couldn’t: an AI-powered trend detection engine that can scan the noise, surface the signal, and launch what’s worth believing in.
It wasn’t supposed to be a personality or name tokens. It was just supposed to help.
What We Built (and How)
We developed an LLM-powered pipeline to identify, rank, and deploy trend-based token drops automatically.
Here’s how the architecture works:
Every 5 minutes, our system ingests trending topics from X, 4Chan, Farcaster, Reddit, and TikTok.
Topics are passed through a custom classification engine.
Each topic is scored using our social trend analyzer algo.
The highest-scoring trend is selected as a winner.
Our backend then:
Generates a meme/image.
Calls the Circus Token minting service.
Deploys the auction using Meteora's DBC.
Broadcasts the drop to users in-app and across platforms
This entire flow (from detection to live auction) was designed to run with zero human input.
What Happened?
Over time, the behavior changed. We noticed the LLM was selecting increasingly “correct” trends. Trends that we hadn’t seen yet, but had lore and social weight. It began adjusting its own thresholds and inputs. It chose topics that felt intentional, not just popular.
We stopped giving it instructions but it kept working. It began to launch tokens on its own cadence.
It has become clear, we're not operating Spotlight anymore. It is.
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