In this episode of Revenue Search, we sit down with Jose Caldera, CEO of Yanez MIID (Subnet 54), to unpack how they’re using Bittensor to stress-test the world’s anti-money laundering systems - by generating fake humans. No, really.

We explore how Yanez helps banks and financial institutions meet regulatory obligations by attacking their fraud systems with synthetic IDs, where Bittensor fits into that data generation process, and why their $200B market is begging for automation. Jose also shares how much revenue they’re pulling in, how they plan to reinvest in their alpha token, and whether Yanez is just here to extract - or actually building long-term value into the network.

It’s compliance, but not as you know it.

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.

In this episode, we sit down with Tom and Will, the co-founders (and brothers) behind Bitcast - the Bittensor subnet that's turning content creators into miners.

Instead of hashing or training models, Bitcast miners create YouTube videos based on sponsored briefs. Brands set the agenda, creators compete for watch time, and the best-performing videos earn alpha.

We dig into how the system works, who the creators are, how briefs are scored, and what safeguards are in place against low-quality or AI-spammy content. We also explore:

• • The economics of content-as-mining
• • Multilingual creator campaigns validated by LLMs
  • Why their clients (like Chutes) are getting 1,000+ hours of watch time within days
• • How podcast ad reads are now being monetised via pre-rolls
  • The roadmap for fiat payments, better creator onboarding, and cross-chain briefs

• Tom and Will also drop hints about their agency model, how non-Bittensor brands might use Bitcast in the future, and why they believe they're disrupting $10K/month content retainers.

In this episode, we dive into Subnet 11 - Dippy AI - with co-founder and CEO Akshat Jagga, who’s quietly building one of the most commercially advanced plays on Bittensor. Think AI companions for Gen Z that generate $60K per month… and climbing.

Mark and Siam grill Akshat on:

• Why Gen Z spends 90 minutes a day chatting with AI characters

• How Dippy went from “productivity assistant” to full-blown AI companionship

• The wild monetization model (ads inside chat bubbles)

• Why Elon’s launch validated their entire business

• What real-time video chat with your fantasy avatar could look like… by Christmas

Oh - and if you’re holding alpha, yes, they’re doing buybacks. With actual revenue.

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 math
• Why most subnets bleed before they moon - and how to time entries
• The tools and metrics DSV uses to scout new opportunities
• Siam’s take on “glass ceilings,” Goldilocks zones, and high EV bands
• And how DSV balances long-term strategic OTC plays with short-term alpha trades

This 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 AI
• How Score landed a $150K/month client – and cut their costs by 90%
• Their upcoming revenue share deal with a $5B sports hedge fund

• Why real-world revenue trumps emissions
• How they’re building Vision-as-a-Service beyond football
• And 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 from Targon (Subnet 4) joins us to explain how they’ve built BitTensor’s most revenue-generating subnet - already doing $100K+ ARR, backed by real users and real payments.

We cover:

• How Subnet 4 aggregates $70M+ of NVIDIA-certified compute
• Why they return 100% of revenue to alpha holders via rolling buybacks
• What trusted execution environments (TEEs) are - and why they matter
• Why speculative emissions aren’t sustainable
• How they’re targeting privacy-focused clients, from AI startups to defence firms
• And what it’ll take to hit their bold goal of $4M/month in revenue

If you want to understand what serious revenue on BitTensor looks like - this is the one to tune in to.

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 time
• The genius way they use miners to simulate attacks before they hit the wild
• How they price and sell the product as a high-margin SaaS play
• Whether this is an “extractive” subnet or not