
The podcast for anyone building, investing in, or obsessed with Bittensor. Hosted by Mark Creaser and Siam Kidd from DSV Fund, Revenue Search goes inside the subnets to ask the important questions about revenue - not just hype. If you’re betting on the future of distributed AI - or building it - this is your signal.
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<p>Revenue Search sits down with the Agent Comms team Tom, Chris and Ashton to explore a potential new Bittensor subnet designed as a trust layer for human and AI communication. The project aims to combine Kaspa for ordering, sequencing and transaction records with Bittensor for incentives, using miners to index, store, serve and prove communication data. At its simplest, Agent Comms is building infrastructure that lets people, businesses and AI agents communicate, share files, publish data and verify interactions without relying on a single central provider. </p><p>The team walks through four planned products: a Slack/Discord-style communication...

<p>This episode is a Bittensor catch-up rather than a subnet interview, with Siam back from three weeks in California and Mark writing from Spain. The main focus is the pace of recent BitTensor “upgrades,” especially Root Reborn, validator baskets, deregistration mechanics, conviction, chain buys, and the looming arrival of shorting. Both remain strongly bullish on Bittensor, but argue that the ecosystem is becoming difficult for investors, subnet owners, and potential new teams to navigate because rules are changing quickly and often without enough notice, roadmap clarity, or explanation. Mark frames his recent article as a call for better process rath...

<p>In this episode, Mark and Siam discuss why they now view Const’s rapid protocol changes more positively: although constant changes can make institutional investors nervous, they argue Const is in “founder beast mode,” trying to fix Bittensor’s core mechanics before the network scales. They focus heavily on “Root Reborn,” especially the distinction between emissions and injections: miner/validator/subnet-owner emissions are not what’s changing; the new formula affects liquidity-pool injections, rewarding subnets with stronger root proportion, stronger EMA price, and lower miner burn. They frame this as a way to stop zombie subnets, reduce gaming, and reward teams t...

<p>This session starts with Mark and Siam briefly addressing the decision to pivot away from “Handshake”: it didn’t gain the traction they hoped, the team’s focus drifted toward building trading/mining “skills” that didn’t feel like a scalable revenue path, and they chose to “rip the band-aid off” rather than keep a zombie project alive. They argue that in AI (especially on Bittensor) things change fast, so it’s better to redeploy talented builders quickly, even if that decision attracts criticism. </p><p>The main segment features Subnet 103 “Djinn,” led by Harry Crane (stats professor with deep prediction markets...

<p>This episode, Mark discloses that DSV is already invested in today’s subnet, but they’ll still ask the awkward questions. They bring on Koyuki (“special k”) from San Francisco, who shares her background in AI (web2 + web3), how she joined the Bittensor Foundation/OTF as Head of AI, and then dives into her slides on Subnet 78, Vocence.</p><p><br></p><p>Koyuki pitches Vosens as a decentralized “voice intelligence layer” on Bittensor, targeting the rapidly growing voice AI market and competing with incumbents like ElevenLabs by being more open, cheaper, and driven by Bittensor incentives. She shows that Vocence...

<p>In this episode, Bob from Subnet 48 (quantum compute) gives a grounded overview of quantum computing: huge long-term promise (materials, batteries, drug simulation), but today’s machines are still “NISQ” (noisy, intermediate-scale, not error-corrected at useful scale). Subnet 48’s pitch is essentially “Airbnb for quantum computers”—miners run real quantum workloads, users submit quantum circuits, and the network executes them cheaper than traditional access. Bob shows OpenQuantum.com as the front-end marketplace, listing multiple hardware providers (IonQ, Rigetti, IQM, AQT) with current machines in the ~20–50 qubit range, and explains that most jobs on OpenQuantum are being executed via Subnet 48.</p><p>The conversati...

<p>In this Revenue Search episode, the hosts sit down with Aldo from Subnet 55 (NIOME / “Neural Intelligence in Omics”)—a project tackling one of the messiest problems in biotech: how to make genomic/biodata usable for research and AI without turning it into a privacy and cybersecurity nightmare. Aldo walks through why the status quo is broken, pointing to repeated breaches and misuse across the industry (from direct-to-consumer testing firms to major institutions), and makes the case that “compliance” doesn’t equal “security” when hackers are actively targeting sensitive health data.</p><p><br></p><p>NIOME’s approach is twofold. First, th...

<p>This episode brings the long-awaited sequel with Jake (Investing 88) and Alex (Trusted Stake). They recap how the two teams teamed up to build Subnet 118 / HODL, a joint venture focused on making subnet investing less painful by reducing slippage, improving liquidity, and smoothing out the constant rotation/volatility that comes from trading directly against shallow alpha pools.</p><p><br /></p><p>The core product is the HODL Exchange: a secondary-market style, automated escrow/order-book layer that lets users buy and sell TAO ↔ alpha with far less price impact than the native AMM pools. Instead of “one big swap” causing huge s...

<p>Revenue Search returns with the usual chaos and banter, then introduces Josh and the launch of Green Compute—a new Bittensor compute subnet designed specifically for enterprise-grade inference workloads. Josh shares his background building and selling GPU infrastructure in the UK since 2017, and explains that Green Compute plugs into an already-profitable compute business with existing customers, contracts, and deployment experience—so the subnet isn’t starting from zero.</p><p><br /></p><p>The core thesis: bring data centers to constrained renewable energy. Across the UK (and beyond), farms and renewable sites often generate power the grid can’t accept—s...

<p>Revenue Search returns with the usual banter (and a bit of tech lag) before welcoming Bitrecs (Subnet 122)—a small, doxxed team building an LLM-powered product recommendation engine for e-commerce, starting with Shopify. Dimitri (CEO), Max (CTO) and Arsham (CRO) explain how their widget boosts store performance by generating smarter “you might also like” suggestions, then cleaning messy LLM outputs with a consensus/ranking layer. They show live examples on real stores, including a unique feature: explanations (“reasoning”) displayed to end-users for why each recommendation was chosen.</p><p><br></p><p>They also introduce Bitrecs V2, which separates the product in...