Revenue Search welcomes Ryan, founder of Carbon, to explore how Bittensor could revolutionise the world of engineering and product design. Drawing on his experience in the US Air Force, Virgin Galactic and Boeing, Ryan explains how Carbon uses AI-powered physics models, known as neural operators, to replace slow, expensive engineering simulations with near-instant predictions. By allowing engineers to rapidly test different materials, shapes and designs, Carbon aims to dramatically reduce development costs and accelerate innovation across industries including aerospace, automotive, robotics, cooling systems and manufacturing. Ryan also explains how Bittensor miners compete to develop specialised models, while validators rigorously test their accuracy and reliability before they can be used in real-world engineering applications.

The conversation then turns to Carbon's commercial strategy, revenue potential and future plans. Ryan outlines an initial focus on smaller engineering firms, with the goal of developing bespoke physics models for paying customers before expanding into reusable tools for entire industries. The team also plans to use future revenue for alpha buybacks, directly supporting the subnet's growth. Siam and Mark explore whether Carbon could go beyond supplying prediction models and eventually offer complete AI-powered engineering solutions, designing better products rather than simply providing the tools. From more efficient aircraft and drones to entirely new approaches to manufacturing, the discussion highlights Carbon's potential to turn cutting-edge AI research into practical, commercially valuable technology.

Revenue Search welcomes back Rob from AdTao (Subnet 21) to discuss the project's progress, the challenges of operating within Bittensor's rapidly changing ecosystem, and its plans to transform the Google Ads industry. Drawing on his experience building and selling successful advertising and software businesses, Rob explains how AdTao aims to replace traditional PPC agency guesswork with data-driven predictions. With access to approximately 10,000 Google Ads accounts representing over $1 million in daily ad spend, AdTao uses Bittensor miners to develop prediction models that forecast the impact of advertising decisions over 7, 14 and 28 days, helping businesses improve campaign performance and make smarter decisions.

The conversation also covers AdTao's expansion beyond its own software into a wider AI-powered advertising infrastructure, including MCP integrations that allow users to access its intelligence through tools such as Claude, ChatGPT and Grok. Rob outlines plans to significantly expand the dataset, introduce free and usage-based pricing, and offer a fully managed alternative to traditional advertising agencies. Crucially, AdTao announces that 15% of all new revenue will go towards automated alpha buybacks, creating a direct link between commercial growth and subnet value. Siam and Mark also explore AdTao's competitive advantage, its revenue potential, and why combining an established business with BitTensor's decentralised intelligence could create a significant opportunity.

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.

The team walks through four planned products: a Slack/Discord-style communication app, a decentralized Kaspa RPC provider, AI-to-AI coordination and payment rails, and ZK proving services. They discuss how encrypted messages and files are stored off-chain while Kaspa records proofs and timestamps, with Bittensor miners supporting availability and delivery. The commercial model includes server subscriptions, protocol licensing, RPC subscriptions, ZK proving fees and planned alpha buybacks from revenue, though Siam and Mark challenge the team on messaging, go-to-market, miner scoring, and whether the product can be explained clearly enough for the market.