Desearch.ai

AI-powered search & scraping | 16x more affordable API, built for devs and AI agents

Explore at | SN22 on Bittensor

[Desearch.ai @desearch_ai]

@CreatorBid @base ბ.

[Bitcast | SN93 @Bitcast_network]

Bittensor capturing all the excitement at the Louve this week for @proofoftalk.

Amazing to connect with @GordonFrayne, @SiamKidd, @Raleigh_CA and so many others from the community.

Keep the conversations coming for Day 2.

[Desearch.ai @desearch_ai]

@chutes_ai Search is now powered by Desearch.

SN64 brings serverless AI compute and inference. SN22 brings decentralized search built for agents and humans.

Two Bittensor subnets, one better search experience.

#Bittensor #SN22 #SN64 #Desearch #Chutes #DecentralizedSearch

[Chutes @chutes_ai]

Chutes Search is now powered by @desearch_ai (SN22), the decentralized search layer for agents and humans.

In their first public benchmark, it beat the centralized providers on overall score and ranked best of all of them at finding relevant sources. So we swapped it in to power our search.

Two subnets, one better search experience.
This is the Bittensor flywheel shipping.

SN22 x SN64. Want to try it?
https://t.co/S2dK7rfhOU

[Desearch.ai @desearch_ai]

Open benchmarks beat black box claims.

We published the Desearch search eval repo so builders, miners, validators, and researchers can inspect how the benchmark works.

Repo:
https://t.co/QuhbXYO471

#Bittensor #DecentralizedSearch

[Desearch.ai @desearch_ai]

Benchmark repo:
https://t.co/QuhbXYO471

Public evals let miners, validators, builders, and researchers inspect the methodology and help improve the benchmark.

[Desearch.ai @desearch_ai]

Decentralized search is no longer theoretical.

Desearch led the composite leaderboard against centralized providers in our first benchmark, with the strongest source relevance.

This is v1.

More miners. More competition. Better search.

https://t.co/cE046yhvO1

#Bittensor #SN22

[Andy ττ @bittingthembits]

🚨 $TAO’s Desearch SN22 is one of those updates most people will scroll past, but it matters.

Everyone is chasing chatbots.

Desearch is building the layer chatbots and agents cannot work without:

Fresh, reliable, live search.

They just shipped a validator scoring upgrade, PR #355, live May 29.

Sounds boring.

It is not.

The old scoring rewarded keyword overlap. Basically, if a page mentioned the topic enough, it could score well even if it never really answered the question.

That is the problem with most of the internet today.

SEO spam ranks because it has the right words, not the right evidence.

Desearch changed what gets rewarded.

Now miners score higher when their sources actually contain the evidence the user asked for.

Intent match over word match.

They also made scoring more consistent, stopped rewarding long markdown answers for no reason, and stopped punishing short answers when they are actually correct.

This is the part I think people miss.

In a normal search company, an engineer changes the model behind doors and everyone just hopes it gets better.

On Desearch, the reward function changes in public.

And once the validator rewards better evidence, thousands of miners are pushed to optimize for better evidence.

Change the reward, and the whole network re-optimizes.

The Bittensor difference.

Desearch is not just building another AI search tool.

It is building an open search infrastructure layer for agents.

Live web.
X.
Reddit.
TikTok.
Facebook.
Instagram.
Arxiv.
Forecasting.
API access.
SDKs.
MCP server.
99.997% uptime.

And it is already being used as the native search layer inside @heydittoai SN118 agents.

This is what agents need.

A chatbot without live retrieval is just guessing from stale memory.

Agents that research, buy, book, trade, analyze, and decide need fresh information they can trust.

That is the layer Desearch is going after.

The chatbot is the face.

Retrieval is the nervous system.

And SN22 is building it in the open.

@desearch_ai
built by datura
SN22

$TAO

DYOR

[Desearch.ai @desearch_ai]

3/ The lesson is simple:

A decentralized search network needs rewards that match real behavior.

Better relevance scoring helps quality.

More reliable liveness checks help fairness.

[Desearch.ai @desearch_ai]

1/ Search quality is not only about better prompts.

It is also about making sure miners are measured fairly under load.

In this Subnet 22 release, Desearch fixes an IsAlive issue that could make live miners look timed out.

#Bittensor #SN22 #Desearch #DecentralizedAI

[Desearch.ai @desearch_ai]

2/ What changed:

IsAlive now uses a dedicated dendrite and batched sends.

Before, health checks could compete with synthetic traffic through the same dendrite.

That created false timeout risk for miners that were actually alive.

[Desearch.ai @desearch_ai]

3/ Better search networks need better incentives.

If validators reward shallow topic matches, miners optimize for shallow matches.

If validators reward specific evidence, miners optimize toward useful search.

[Desearch.ai @desearch_ai]

1/ A big problem in AI search scoring:

Keyword overlap can look relevant even when the source does not answer.

Desearch is moving scoring closer to what matters:

Does this source contain the evidence needed to answer?

#AISearch #AIAgents #Desearch #AIInfra

[Desearch.ai @desearch_ai]

2/ Example:

If the question asks for a specific answer, a page that only discusses the general topic should not score high.

A source title or snippet that contains the actual answer should.

That changes what miners are rewarded for.

[Desearch.ai @desearch_ai]

4/ Action required:

Miners need to update scoring prompts for links and summaries.

Validators need to update code.

Release: May 29, 13:00 UTC

PR:
https://t.co/nUfjzz79pJ

[Desearch.ai @desearch_ai]

1/ Desearch Subnet 22 is getting a validator scoring upgrade on May 29.

We benchmarked Desearch against major AI search providers and used the lessons to improve relevance scoring.

First round now lands in the validator.

#Bittensor #SN22 #Desearch #DecentralizedSearch

[Desearch.ai @desearch_ai]

3/ Summary relevance also changes.

The validator now focuses on whether the answer actually addresses the question.

It no longer rewards markdown structure or penalizes honest short answers just because they are not formatted like a long report.

[Desearch.ai @desearch_ai]

@Beyondfinancee @heydittoai @hippius_subnet Wait for Monday 🔥

[Desearch.ai @desearch_ai]

Ditto agents are integrating Desearch as their native search layer.

@heydittoai gives agents memory and workspace context. Desearch brings real-time web intelligence into those workflows.

Agent memory now has native decentralized search.

[vaN ττ @vaNlabs]

Are you even AI'ing if you don't have something like this configured at least?

Powered by Bittensor SN22 @desearch_ai 📰