In an era where information is guarded behind expensive APIs and centralized gatekeepers, Desearch (Bittensor’s Subnet 22) is leading a quiet revolution. The co-founder Giga and his team are on a mission to make knowledge open, real-time, and permissionless.
During a chat with Const on Bittenor Novelty Search’s Episode 63, Giga and the Chief Technology Officer, Professor, spoke about the Desearch subnet. They detailed how their team of eight is building one of Bittensor’s most promising subnets: a decentralized search infrastructure that gives AI agents access to real-world data.
The Origins of Desearch
Desearch began as a simple concept: a decentralized search engine powered by miners, fetching the best results for any query. But as the team built further, they discovered a greater opportunity—creating a real-time data layer for AI agents and large language models (LLMs).
The founders met through the Bittensor community, which included early contributors like Fish — now a co-lead and advisor for Subnet 22. Together, they envisioned a world where AI no longer relies on centralized APIs like Twitter or Google but taps into a decentralized, incentivized network that rewards miners for providing accurate and timely data.
Solving AI’s Biggest Blind Spot
“AI agents are powerful—but blind,” Giga said. “Without real-time data, they can’t act in the real world.” Developers today face two bad options: pay steep fees for limited APIs, or rely on unstable web scrapers. Subnet 22 is building an efficient infrastructure that fixes this by allowing miners to provide verified, live data—fueling autonomous AI systems that can think and act with real-time awareness.
The Market Opportunity
Desearch is targeting a high-value niche within the $20–25 billion global API economy, zeroing in on AI/Web3 data and agent infrastructure—a segment projected to explode as AI adoption rises. With developers, startups, and enterprises seeking open data solutions, Desearch positions itself as a cheaper, scalable alternative to centralized data providers.
Why Build on Bittensor
Bittensor’s validator–miner architecture powers Desearch’s performance and decentralization. Validators score miners based on relevance, freshness, accuracy, and latency, ensuring that the best-performing miners rise in rank and earn more TAO rewards. This competition drives quality upward—something centralized APIs simply can’t replicate.
Professor explained the edge clearly stating that “Our system scales naturally. Anyone with strong scraping or data-processing capabilities can join as a miner, earn, and improve the network. There’s no single point of failure, and no corporate gatekeeping.”
Product in Action — Desearch’s Rizzy Agent
One of the project’s flagship products is Rizzy, an autonomous research platform for investors and traders. With Rizzy Agent, users can:
1. Scan Twitter and Reddit for real-time trends or sentiment.
2. Automate engagement by liking, DMing, or filtering relevant leads.
3. Build custom agents powered by Desearch’s API layer.
Developers can easily integrate with frameworks like LangChain, n8n, and Qi, or access open-source SDKs to deploy AI agents in minutes.
Real Revenue, Real Adoption
Unlike many blockchain startups fueled by speculation, Desearch is already seeing real traction:
a. $11K+ in monthly recurring revenue (MRR)
b. 1,000+ registered users
c. 200+ beta testers actively using its agent builder
c. Revenue-based token burn model, where usage directly reduces token supply
This model ensures Desearch’s tokenomics remain sustainable and transparent as usage scales.
Roadmap and Future Vision
Desearch’s next milestones push far beyond Bittensor:
a. Q1–Q2 2026: Public API dashboard, developer docs, agent templates
b. Q3 2026: Optimized Rizzy builder with better analytics and memory
c. Q4 2026: Expansion to non-crypto developers and improved validator scoring
By opening its ecosystem to the wider tech world, Desearch aims to become the go-to data infrastructure for AI and Web3 builders globally.
Why It Matters
Desearch marks a pivotal shift for Bittensor — from AI model training to AI data infrastructure. As centralized APIs tighten access and raise costs, Desearch offers:
a. Open, real-time access to web data
b. Lower costs for startups and developers
c. Greater resilience through decentralization
It’s not just a subnet — it’s a cornerstone for the next generation of autonomous, data-aware AI systems.
Concluding the conversation, Giga remarked that the team is not just building tools; they are building the open data backbone of decentralized intelligence.
Useful Resources
Official Website: https://desearch.ai/
X (Formerly Twitter): https://x.com/desearch_ai
GitHub: https://github.com/Desearch-ai/subnet-22
Discord: https://discord.com/invite/eb6DTZNMF5
Telegram: https://t.me/daturavalidator
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