Desearch is Bittensor subnet 22 (SN22), a project in the Search and Information Retrieval lane. Decentralized real-time search for AI
Desearch turns the work of crawling the live web, X, Reddit, and Arxiv into a Bittensor competition, then sells the cleaned-up results back through an API that AI builders can plug into.
It is an educational deep dive, not a recommendation to stake. For live price, pool depth, and performance, always open the live subnet page.
What is Desearch (SN22)?
Desearch (Subnet 22) is a decentralized search engine. Instead of one company running the crawlers and ranking the results, the subnet pays a network of independent operators to fetch and score live data from the web and social platforms, and serves that data through the Desearch API and console.
In plain English: It is like a search API such as Google's or a research tool like Perplexity, but the indexing and ranking are spread across many competing operators rather than a single provider.
Centralized reference points: SerpAPI, Perplexity, Google Search API
How miners and validators work
Like every Bittensor subnet, SN22 is a two-sided market: miners produce work, validators score it, and emissions follow those weights under the network’s dTAO economics.
- Miners run a Bittensor axon, declare their search capacity, answer health checks, and serve AI, X/Twitter, and web search requests pulled from sources like the web, X, Reddit, and Arxiv.
- Validators send both synthetic and real (organic) queries to miners, verify the answers against independent providers, score results for relevance and accuracy over rolling windows, and write weights on-chain.
Mechanism and design
Per the subnet's repository, SN22 is the runtime behind Desearch's real-time intelligence layer. Miners run an axon that advertises search capacity and serves three kinds of requests: AI search, X/Twitter search, and general web search. Validators do the quality control. They send a mix of synthetic test queries and real organic queries, check the returned results against independent providers, keep scoring windows over time, and set on-chain weights based on relevance and accuracy. A FastAPI service runs alongside each validator so trusted Desearch services can route organic search traffic and inspect public miner state, with protected routes gated behind an access key.
The README documents that miners and validators lean on external data providers to do their jobs (for example web and social scraping APIs and an LLM key), which is typical for a search subnet but does tie result quality and cost to services outside the network.
On development, the GitHub repository the owner declares on-chain is active: the latest push was on 2026-05-29 (a live API check), with recent commits covering relevance and summary scoring, validator reachability sweeps, and routine version bumps to release 0.0.214. The repo lists 12 contributors. Note that the on-chain GitHub link points to the project's older repository path, which now redirects to the renamed Desearch-ai/subnet-22 repository; it is the same codebase under a new name, not a broken link.…
Why the project exists
- The problem it solves: AI products need fresh, structured access to what is happening on the web and social media right now. According to the team, centralized search APIs are opaque and controlled by a few providers, which leaves builders dependent on terms and pricing they do not control.
- The opportunity: Real-time search and social data is one of the most common inputs for AI agents and research tools. A neutral, programmable feed of that data has broad demand if the quality holds up.
- The Bittensor advantage: Putting search behind an incentive market means many operators compete on result quality, and validators continuously verify answers against outside sources rather than trusting a single index.
- Traction signals: Desearch ships a public API and a console product at console.desearch.ai, and the subnet repository shows steady, recent development. Independent measures of real usage are not something this article can confirm from on-chain data alone.
What stakers should check before buying alpha
Subnet storytelling is cheap. On-chain and product checks are not. Use the same framework as our subnet metrics guide:
| Check | Why |
|---|---|
| Real product / docs / repo | Separates shipping teams from narrative-only slots |
| Pool depth (TAO) | Your exit door: thin pools amplify slippage |
| Net flows (7d / 30d) | Under flow-based emissions, capital votes with its feet |
| Emission share | Whether the market is funding this subnet right now |
| Ownership concentration | Large holders can move a small alpha market |
| Immunity / deregistration | Post-immunity weak slots can lose the race (see immunity guide) |
Pull the live numbers on Desearch · SN22 rather than trusting any static screenshot in a blog post.
Risk factors
- Deregistration: The subnet's emission share and its smoothed (EMA) share both read 0% on TaoSwap, with net staking flows slightly negative over the past week. Subnet 22 is well past its four-month immunity window, so a sustained zero-emission, negative-flow reading is the condition that puts a subnet closest to automatic deregistration. The 24-hour flow had ticked positive at snapshot time, but this is the metric to watch.
- External data dependency: Result quality and operating cost depend on third-party data and scraping providers that miners and validators call. Changes in those providers' pricing, rate limits, or access terms can flow straight through to the network.
- Concentration: A top-100 Gini coefficient around 0.74 points to moderately concentrated ownership and stake distribution, so large positions can move pool dynamics.
- Competition: Real-time web and social search is crowded, both from centralized APIs and from other Bittensor data subnets, so Desearch has to keep winning on quality and price.
How this fits a TAO portfolio
Many holders keep a root vs subnet split: root for calmer TAO exposure, subnets like Desearch for thematic upside (and higher variance). If you use TaoScale, you can size SN22 from your wallet without handing over custody. See non-custodial staking.
- Live market: SN22 on TaoScale
- Browse and stake: /invest
- More subnet explainers: /blog/subnets
FAQ
What does Desearch do on Bittensor?
It is like a search API such as Google's or a research tool like Perplexity, but the indexing and ranking are spread across many competing operators rather than a single provider.
What is the SN22 alpha token?
When you stake TAO into subnet 22, you receive that subnet’s alpha. Its price versus TAO moves with the subnet’s pool (see what is dTAO).
How do I research Desearch before staking?
Read the mechanism above, open the official repo/docs when available, then verify pool depth, flows, and activity on SN22. Cross-check with the metrics checklist.
Is this financial advice?
No. TaoScale publishes educational explainers and live tools. Decisions to stake are yours alone.
Not financial advice. Educational overview of Desearch (SN22) compiled from public project materials and ecosystem documentation. Mechanisms and market structure change, so verify live data and official sources before acting.
