Revenue Search: Inside Bittensor

Subnet Session with Giga from Desearch: Subnet 22

29 snips
Sep 14, 2025
Explore how Subnet 22 transforms LLMs into real-time operators by integrating fresh data sources like web, Twitter, and Reddit. Giga reveals the essential role of real-time search for AI agents and their unique ability to act as 24/7 sales representatives. Learn about the innovative miner workflow that retrieves and ranks data, along with insights into multi-source searching. Plus, Giga discusses the exciting future for startups, pricing strategies, and the value of persistent agents in driving engagement and traffic.
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INSIGHT

Real-Time Data Is The Missing LLM Layer

  • LLMs are powerful but blind without fresh, real-time data from the web and social media.
  • Subnet 22 provides an open real-time search layer to feed LLMs with up-to-the-minute signals.
INSIGHT

Pivot From Search App To Data Layer

  • Subnet 22 pivoted from a consumer search app to a data layer focused on relevance and freshness for agents.
  • Miners train models to retrieve, scrape and rank contextually relevant, real-time information for API queries.
INSIGHT

Social Conversations Drive High-Value Signals

  • Twitter, Reddit and web conversations are the highest-value real-time sources for crypto and project monitoring.
  • Deep search can analyze tens of thousands of tweets to surface sentiment, pros/cons and actionable insights.
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