Revenue Search: Inside Bittensor

Join Jose Caldera, CEO of Yanez MIID, as he unpacks innovative approaches to combat financial crime. He reveals how Yanez generates synthetic identities to stress-test anti-money laundering systems, loomed within a $200 billion market. Jose contrasts traditional testing methods with Yanez's tech-driven solutions, highlighting their first-mover advantage and potential $12 billion market capture. He also shares insights on revenue generation, growth strategies, and the future of identity management in the face of evolving threats.

Can you fire your entire engineering team and replace them with agents?Shakeel Hussein, CEO of Ridges (Subnet 62), thinks so—and he’s not joking. In this episode of Revenue Search, we dig into how Ridges is building autonomous AI agents that could make coders 100x more productive… or just make them obsolete.We break down the $400B software dev market, why most AI coding tools are running at negative 500% margins, and how Ridges is playing a different game: model-agnostic, profitable, and scaling fast. We also get into miner incentives, enterprise go-to-market, and why DSV just made its biggest OTC investment yet: $300K split between alpha and market buys.Revenue, tokenomics, competition (hi Claude), and the end of software engineering as we know it - this one’s not to be missed.

Tom and Will Blears, brothers and co-founders of Bitcast, share insights on their unique platform turning content creation into a mining venture. They discuss how creators produce sponsored video briefs, competing for engagement metrics. The conversation highlights the use of AI to validate content quality and scoring, enabling multilingual campaigns. They also reveal their plans for fiat payments and a no-code onboarding process to attract more creators and innovate monetization strategies while disrupting traditional agency models.

Akshat Jagga, Co-founder and CEO of Dippy AI, introduces innovative AI companionship products targeting Gen Z. He discusses Dippy's evolution from a productivity assistant to a beloved chat companion, revealing that Gen Z spends an average of 90 minutes daily interacting with AI characters. Akshat explains their unique monetization strategy involving ads in chat bubbles and projects exciting features like real-time video chat with fantasy avatars by Christmas. The conversation also explores how Dippy is redefining AI experiences while ensuring user privacy.

Siam and Mark are back for a deep dive into how DSV actually trades subnets.We cover:Why the TAO halving has quietly moved forward (and what that changes)How Siam maps alpha price ceilings using emissions mathWhy most subnets bleed before they moon - and how to time entriesThe tools and metrics DSV uses to scout new opportunitiesSiam’s take on “glass ceilings,” Goldilocks zones, and high EV bandsAnd how DSV balances long-term strategic OTC plays with short-term alpha tradesThis one’s a masterclass in Bittensor subnet trading - from a fund that lives and breathes it. Grab a notepad. Maybe two.Follow @siamkidd and @markcreaser on X for more.

In this Subnet Session, we reunite with Max from Score - our very first OTC play at DSV - to unpack how SN44 is turning raw sports footage into high-value intelligence.We cover:Why data annotation is the hidden goldmine of video AIHow Score landed a $150K/month client – and cut their costs by 90%Their upcoming revenue share deal with a $5B sports hedge fundWhy real-world revenue trumps emissionsHow they’re building Vision-as-a-Service beyond footballAnd their bold plans for aggressive alpha buybacks (plus potential burns and DAO reserves)This one’s packed. Real revenue, real customers, and a killer product.

James Woodman, founder of Targon (Subnet 4), shares insights on building BitTensor's top revenue-generating subnet, already pulling in over $100K annually. He discusses how Targon aggregates $70M in NVIDIA-certified compute while prioritizing privacy through trusted execution environments. Woodman reveals plans to distribute 100% of revenues back to alpha holders and outlines ambitious growth targets of $4M monthly. With a focus on catering to privacy-centric clients—from AI startups to defense—this session highlights the intersection of innovation and revenue in tech.

In this episode, we sit down with Oli and Oscar from Red Team, the BitTensor subnet tackling one of GenAI’s biggest threats: synthetic fraud.Their London-based cybersecurity firm Innerworks already protects major payment platforms and crypto exchanges. But now, with Subnet 61, they’ve built a decentralized R&D engine that uses BitTensor miners to stress-test their own defences - crowdsourcing attacks to stay ahead of adversaries.We dig into:What Red Team actually does (in human language)Why AI-powered fraud is exploding - and how SN61 spots it in real timeThe genius way they use miners to simulate attacks before they hit the wildHow they price and sell the product as a high-margin SaaS playWhether this is an “extractive” subnet or not

In this Subnet Session, we’re joined by Mike Bunting - CFO of Macrocosmos and architect of Subnet 13: Data Universe, the largest open-source social media dataset on the planet.We explore:Why they’ve already scraped over 55 billion posts (and counting)How SN13 turns raw social data into revenue, insight, and alphaWho’s buying the data and why it matters for hedge funds, consumer brands, and subnets alikeThe future of metadata, visualisation, and turning big data into usable productsHow Subnet 13 could power everything from brand tracking to AI training to prediction marketsWhether you’re staking, building, or just curious about real-world utility in Bittensor - this one’s a must-listen.

Wandering Weights, also known as Chris, is a machine learning practitioner and founder of the Gradients subnet (SN56), dedicated to making fine-tuning accessible and cost-effective. He shares how Gradients disrupts the post-training market with $250 fine-tuned models that challenge expensive AWS services. Chris discusses the efficiency of replacing multiple ML engineers while enhancing productivity. He also outlines plans for confidential execution aimed at enterprise privacy and reveals interesting use cases, including bespoke models for personal and business applications.