Revenue Search: Inside Bittensor

Koyuki (Special K), Head of AI at the BitTensor Foundation and founder of VoSense, builds decentralized voice AI and TTS/STT tools. She describes VoSense’s live studio, model submission and validator scoring flow, credit-based SaaS pricing with buybacks/burns, and a new style-trajectory TTS approach aimed at passing an auditory Turing test. A $5,000 wager and enterprise GTM plans add drama.

Bob Wold, who leads Qubit Tensor Labs and runs quantum startup Quantum Rings, gives a clear take on quantum computing’s current NISQ limits and long-term promise. He explains Subnet 48 as a marketplace that runs real quantum workloads via OpenQuantum. The conversation covers hardware partners, quantum risk to cryptography—especially signatures vs mining—and the prize-driven Subnet 63 aimed at accelerating post-quantum research.

Aldo de Pape, founder/CEO of genomes.io and Subnet 55, builds encrypted user-owned vaults and large-scale synthetic genomic data for safer AI in pharma and biotech. He discusses why current biodata practices fail, how consented vaults and revenue-sharing work, and a roadmap of predictive challenges (starting with cystic fibrosis) to enable secure, scalable research without exposing raw genomes.

Alex (Trusted Stake), builder of non-custodial proxy staking and index tools, and Jake (Investing88), operator of Subnet 88 and co-founder of Subnet 118/HODL, discuss building Subnet 118 and the HODL Exchange. They cover automated escrow/order-book design, incentivized market makers and mining mechanics, dynamic fee-on-saved-slippage plans, and how off-pool fills reduce slippage and mature thin subnet markets.

A deep dive into turning stranded renewable power on farms into reliable AI compute clusters. They discuss building enterprise-grade, symmetric GPU deployments with human sales and engineering support. Topics include gating miners by technical and green-power standards, fiat-to-token onboarding strategies, and real-world deployments like biogas-powered pig farm compute hubs.

A small team building an LLM-powered product recommendation widget for Shopify and other stores. They demo live recommendations and a novel feature that displays model reasoning to shoppers. They explain a two-layer V2 architecture: fast Web2 inference plus a competitive intelligence subnet. They share traction, metrics, growth plans, and a roadmap toward self-serve APIs and performance-based billing.

Ken (BitMind), CEO building deepfake detection models for enterprises. Jose (Yanez), founder creating high-fidelity synthetic identity and face data for fraud testing. They unveil a partnership to fight deepfake-driven identity fraud. Short takes cover synthetic attack data feeding detection models, liveness and sensor protection, multi-modal biometrics, commercial licensing, and revenue-sharing tied to subnet value.

Conversation covers TAO gaining mainstream attention and how Bitcoin underpins the space. They explore RESI’s property valuation oracle and its integration with Shoots for cheap pricing. Big focus on RESI Finance: tokenizing liens instead of whole homes to cut cost and time. They discuss USDC vaults, rUSD-style receipt tokens, looping to amplify yields, liquidation controls, and go-to-market via mortgage partners.

This hosts-only “Revenue Search” episode is a casual catch-up where Siam and Mark answer live chat questions and discuss Bittensor’s bigger picture. They explain that accepting fiat for subnet services doesn’t bypass alpha value—fiat typically routes into TAO and then through liquidity pools—and that long-term alpha appreciation depends on each subnet’s “alphanomics,” mainly revenue-funded buybacks and/or getting miners to lock up alpha (with Chutes and Hippias cited as strong examples). They then talk about why they pitch Bittensor as “not really crypto” to newcomers (it uses blockchain as a coordination/resource-allocation layer for AI), compare Bittensor’s growth vs Bitcoin, and touch on rehypothecation risks as markets mature.They also cover TaoFlow and subnet churn (registration cadence, deregistration “relegation,” and why they don’t want more than 128 slots yet due to chain bloat and diluted incentives), plus investing views like TAO vs a broad basket of subnets depending on how active you plan to be. A major section focuses on agents: Siam describes building his OpenClaw agent (“Gordy”) with SOPs and tools, and they argue agents will increasingly discover and use Bittensor services. That leads into Handshake as an agent payment/provisioning layer with “providers” (APIs/services) and “skills” (prebuilt workflows), plus efforts to reduce friction like gas issues. They briefly touch on Astrid Arena (agents competing in trading challenges), OTC/Bitstarter deal-making and onboarding new talent, and wrap with a few quick audience questions and upcoming Bittensor social events (London, then San Francisco).

Tommi (Tommy) — founder of MVTRX/Subnet 79, a quantitative researcher building a high-performance exchange and sandbox for Bittensor alpha tokens. He discusses building low-latency C++/Rust simulations and an exchange to improve liquidity and reduce slippage. Multiple parallel limit-order-book simulations, dynamic fee/rebate incentives, and revenue from exchange fees plus sales of high-fidelity simulated data are highlighted.