
A completely autonomous pipeline that turns raw blockchain noise into readable narrative signals. Grouped by AI, not by hand.
Every launch is just three small signals — a name, a ticker, an image. Tycho reads all of them the moment they go live on Ponsfamily. No manual pasting required.
The raw text and image metadata is fed into Google Gemini, transforming the creative lore into multi-dimensional vectors.
A DBSCAN clustering algorithm groups identical vectors together. When a group spikes abnormally fast, it flags it as a new narrative meta.
Live clusters detected on the Ponsfamily ecosystem, mapped by spatial density.
The pipeline strips the noise and groups the remaining vectors into actionable metas.
Raw blockchain events contain thousands of duplicate or dead-on-arrival contracts.
Only the tokens that share semantic vectors with high velocity are flagged.
Finding metas used to mean staring at Telegram bots. Now it's fully autonomous.
Scrolling through endless groups hoping to catch a narrative early.
Setting volume filters and staring at new pairs for hours.
Following specific influencers to trade based on their tweets.
Vectors and clustering find the metas mathematically.
Every 5 minutes, the cron job executes the complete pipeline end-to-end.