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February 5, 2026

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BitTensor's Flywheel: From Decentralized AI Proof to Sustainable Compute

by taostats

Date: November 2023

This summary unpacks BitTensor's journey from a massive, free decentralized AI compute network to a revenue-generating, sustainable ecosystem. It highlights how permissionless infrastructure is finding real-world demand in areas like coding and role-playing, driving a self-sustaining economic model.

  • 💡 How did BitTensor prove the technical feasibility of decentralized AI compute at scale?
  • 💡 What specific strategies is BitTensor employing to achieve economic sustainability and generate revenue?
  • 💡 What are the primary real-world use cases driving significant traffic and demand on the BitTensor network?

The promise of decentralized AI compute has long been a theoretical ideal. BitTensor, through its permissionless network, has moved beyond theory, demonstrating immense scale and now navigating the critical path to economic viability. This episode reveals how the network is building a sustainable flywheel, turning raw compute power into a revenue-generating engine.

Top 3 Ideas

🏗️ Proving the Impossible Scale

*we became the biggest open-source model provider in all of Open Router. I mean, at our peak when everything was still free, we did on our top day something like 160 billion tokens, which is just a massive number.*
  • Massive Scale: BitTensor, as an open-source model provider, processed 160 billion tokens in a single day on Open Router. This demonstrates the network's ability to deliver decentralized AI compute at a scale comparable to centralized providers, validating its core technical premise.
  • Permissionless Power: This immense throughput was achieved entirely through permissionless miners on a decentralized network. The implication is that a truly open and distributed infrastructure can compete on raw capacity, challenging traditional centralized compute models.
  • Initial Validation: The early, free phase proved the network's technical capabilities and attracted significant usage. This initial proof-of-concept was crucial for establishing credibility and attracting future development, even before a revenue model was in place.

🏗️ The Stress Test of Sustainability

*these bare markets are sort of a stress test, but it really makes us focus on achieving that goal of sustainability even faster.*
  • Revenue Generation: BitTensor's first day of revenue was a modest $200, marking the shift from pure technical proof to economic viability. This transition is essential for any decentralized network to move beyond speculative value and establish a durable foundation.
  • Market Resilience: Bear markets, while challenging, accelerate the focus on sustainability. This forces the network to prioritize revenue-generating services and efficient operations, hardening its economic model against market volatility.

🏗️ Finding Product-Market Fit

*one of our largest use cases is roleplaying. You know that the numbers are basically coding and role play is 90% of our traffic something like that.*
  • Key Use Cases: Coding and role-playing account for 90% of BitTensor's traffic. This highlights specific, high-demand applications where decentralized AI inference offers a compelling value proposition, guiding future development and resource allocation.
  • Ecosystem Reinvestment: All generated revenue is pumped directly back into the ecosystem to build a self-sustaining flywheel. This ensures that economic success directly fuels further development, innovation, and network growth, aiming for full autonomy.

Actionable Takeaways

  • 🌐 The Macro Shift: The demand for open-source, secure, and general-purpose AI inference is accelerating, pushing decentralized networks like BitTensor from experimental proofs to critical infrastructure.
  • ⚡ The Tactical Edge: Investigate BitTensor's subnet ecosystem for opportunities to build applications that leverage its secure, open-source compute, particularly in high-demand niches like AI-assisted coding or interactive content generation.
  • 🎯 The Bottom Line: BitTensor's shift from free compute to a revenue-generating, self-sustaining flywheel signals a maturing decentralized AI market. Understanding its economic model and key use cases is crucial for identifying where real value is being created and captured in the next 6-12 months.

Podcast Link: Click here to listen

And does it work? We proved yes, it does work. And actually, we proved it so well that we became, as far as I know, the biggest open-source model provider in all of Open Router.

At our peak when everything was still free, we did on our top day something like 160 billion tokens, which is just a massive number. That was all Bit Tensor. It was all permissionless miners, decentralized network, and everything just worked and it was magical.

Then of course we had to get to the point where okay, well now we've proven that it can work, but now we need to actually make it sustainable. Starting I think our first day of actually having any revenue at all was March 8th. I think our total revenue for that day was like 200 bucks or something.

It's been a long slog from there. Lots of ups and downs, lots of market fluctuations, let's say. These bare markets are sort of a stress test, but it really makes us focus on achieving that goal of sustainability even faster.

We're continuing down our mission of basically bringing AI or sorry bringing bit tensor into the broader community general purpose compute Inference, the best most clear open- source definitive secure Inference on the planet basically between the TE stuff and having our entire stack be open source.

We are pumping all of that money just back directly into the ecosystem so that we can actually build a flywheel that can maintain indefinitely and eventually hopefully become fully autonomous.

I don't want to talk too much because we have just a ton of highlevel overview stuff that everyone wants to talk to. We have Algo is going to be talking about sort of our revenue numbers, our partnerships, subscription growth, all that kind of stuff.

We are continuing down the path of meeting people where they are. We're going to be talking about sandboxes and providing secure CPUon compute services and building easy ways for people to use the existing tools that they already have like claudebot or openclaw or moltbot whatever you want to call it stuff like that.

One of our largest use cases is roleplaying. The numbers are basically coding and role play is 90% of our traffic something like that. Complex here has built an amazing product that we're going to showcase there as well.

I'm going to stop talking because people have heard me too much.

There's another angle here too which I hope you go over John which is how much of bit tensor is built on shoots?

I think that's one of the major focuses that Algoi is going to be talking about here. I don't know if he wants to dox himself or not but hey how's it going?

It's amazing and that's one of the key things about shoots is like it's not just providing compute. We have a ton of additional specifically built mechanisms in place to help the subnets achieve what they want to achieve whether it's blocking network connections except for specifically whitelisted domains.

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