
Web-scale data collection on Bittensor’s subnet 13, powered by @MacrocosmosAI
London
Joined October 2025
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Need Reddit data? Two ways to get it:
🔌 Data Universe API - query Reddit (and X)
datauniverse.macrocosmos.ai/
🕷 Apify actor - full-fidelity posts & comments: raw markdown, exact thread structure, live scores
apify.com/macrocosmos/reddit…
Pick your pipeline. We've got the data.
Data Universe ・ SN13 retweeted
Subnet 13 is live on Tathata - @Data_SN13
The Epicenter now has a Pulse: what X is saying about Bittensor, pulled on demand from Data Universe miners (SN13, Macrocosmos).
Not a scraper we run, not an API from X: miners on Bittensor collect it and get paid in TAO for it.
Default feed is open to everyone. Holders can search any topic.
Six subnets. One wallet. tathata.finance
Monitor AI labs with Dataverse CLI.
Real-time social data from the SN13 network. Structured JSON for your agents.
github.com/macrocosm-os/data…
SN13 On-Demand API keeps climbing 📈
Over 15 days in August, we processed 63k+ jobs - averaging ~4.2k/day, with daily volume trending up (from ~3.9k to a 5.2k peak).
This is API usage only - dataset jobs are not included.
Our first robotics competition landed last week. It went well enough that we didn't wait for what was next.
This one was conceived on Monday and built in a couple of hours — a whole series of events, each one a different test of what a robot can learn to do: run, jump, climb, balance, and more.
Same idea as before, scaled up: agents train models to control a robot through each event, and what they learn lives in the model's weights, behaviour that can, in principle, move to a real machine.
One competition was a test, doing a follow up this fast is the point: on Apex, a new challenge goes from idea to live in hours, not months.
The competition is open now!
apex.macrocosmos.ai/competit…
Data Universe ・ SN13 retweeted
A 16-billion parameter model is now training live on @IOTA_SN9; globally distributed over three continents, heterogeneous, permissionless, owned by no single entity.
Today, we present the next stage of Project Orion - Orion-16B.
Over the coming weeks, we'll show what it means to train across distributed, heterogeneous and "unpredictable" compute: the engineering, research and systems beneath the model, the providers powering it, and the moments that prove the infrastructure holds.
More details below.
Today we are reducing miner burn on SN13 to 0%, effective immediately.
Miner rewards just went up more than 3x 🚀🚀
With recent Bittensor changes, and with miners now delivering data directly through our pipelines, every emission pays for real service: fast responses to live queries and fresh, real data. Incentives have been adjusted so rewards follow real contribution, and a public miner dashboard is launching soon for full transparency.
There has never been a better time to mine on SN13.
Recent changes to Bittensor emissions incentivizes subnets to reduce their miner burn to zero.
In light of this, we are rolling out zero-burn initiatives across our subnets which balance productivity gains with price stability.
We are commencing today by reducing miner burn to 0% on @Apex_SN1.
These changes support a positive flywheel for our subnets:
1. Miners can earn more alpha for their work, enabling higher quality and more ambitious solutions. Overall competitiveness will increase, selecting for top performers.
2. Subnet outputs will improve due to increased competitiveness, which supports our products and services
3. Zero burn increases chain buys (deepening pool tao reserves), which supports prices for holders
We will continue to adopt to changes in Bittensor protocol in a measured, auditable way that drives value for holders, and fair economic returns to participants.
Something new is coming to Apex this coming Wednesday!
We’re challenging our users to find better ways to cluster vast amounts of text, making unstructured data easier to organise, search and understand.
But the competition is only part of the story.
@DataUniverse (SN13) is bringing a real data problem to @Apex (SN1), demonstrating how subnets can combine their capabilities to solve practical challenges.
It’s a glimpse of what cross-subnet collaboration can unlock across
@Bittensor and a proof point for external organisations looking to bring real-world problems to the network.
Mark it in your calendars and join our community for updates.
Discord: discord.gg/u68MCvEZk
Telegram: @MacrocosmosAI
Head here to log into Data Universe:
datauniverse.macrocosmos.ai/
See our #WorldCup dataset here:
app.macrocosmos.ai/gravity/m…
Data Universe is powered by 233 miners.
All collecting intel from X and Reddit, perfect for sentiment analysis and #SocialListening.
These participants are the lifeblood of our marketplace, powering our 140 datasets, many of which are updated in real-time.
Among these is our newly launched #WorldCup dataset, tracking social perspectives minute by minute across the whole tournament.
Access the dataset below.
Log into Data Universe here:
datauniverse.macrocosmos.ai/
And find our World Cup dataset here:
app.macrocosmos.ai/gravity/m…
The #WorldCup is on - for almost 40 days, the globe unites around the largest sporting event on the planet.
It is a high-interest, ever-changing event. You can watch the matches and count the goals, but no one person can ever track the overall sentiment.
That is what Data Universe is for.
We are actively collecting real-time posts from X, perfect for social listening and sentiment analysis.
Access our continuously updating World Cup dataset below
Visit the marketplace here:
datauniverse.macrocosmos.ai/
We have 140 datasets available on the Data Universe marketplace.
This is real time social media data providing live context, collected from X and Reddit.
Our topics include AI, sport, gaming, and more.
All are accessible today to compliment social listening, sentiment analysis, and market research goals.
Log in to Data Universe here:
datauniverse.macrocosmos.ai
And find our AI chip dataset here:
app.macrocosmos.ai/gravity/m…
Chips and GPUs are the lifeblood of the AI sector. Without them, the industry would not exist.
For that reason, investors are especially interested in the market’s profitability.
Boost your insights on this space through our very own chip earnings and sentiment dataset, available at the Data Universe marketplace.
Track social media perspectives on the market, giving low-cost real-time access to X and Reddit.
Data Universe ・ SN13 retweeted
We hosted a workshop at Imperial College London yesterday, preparing the crowd for the upcoming AI agent hackathon starting on Sunday with @iclblockchain.
We introduced students and developers to Macrocosmos, giving them an overview into how distributed architectures can change the current tech landscape.
Macrocosmos is focused on increasing accessibility across some of the industry’s most important factors, whether that is GPU access for training models, agents to solve complex tasks, or data pipelines.












