Revenue Search: Inside Bittensor

On this episode of Revenue Search, we dive into Subnet 75 – Hippius - with Mog and Dubs. Their team is taking on cloud storage with a decentralized model that’s cheaper, faster, and more transparent than AWS, Google, or Dropbox.We cover:Why decentralized storage has never really been solved – until nowHow Hippius uses its own blockchain to align miners, revenue, and token valueWhat enterprises and subnets are already building on HippiusThis isn’t just theory – Hippius already undercuts Big Tech by orders of magnitude. If you want to understand how real-world revenue models are emerging inside Bittensor, this is the episode to hear.

AI agents are only as smart as the data they can see. Giga joins us to explain how Subnet 22 is turning LLMs into real-time operators – by piping in fresh data at scale.We talk:Why real-time search is the missing layer in most agentsHow Subnet 22 is already powering live customer deploymentsThe business case for 24/7 AI sales reps (spoiler: they don’t need lunch breaks)

James Altucher - entrepreneur, bestselling author, early Bitcoin evangelist, and founder of TAO X - joins us to unpack why Bittensor feels like “Bitcoin in 2013,” and how decentralized incentives could upend not just AI, but entrepreneurship itself. We cover the rise of subnets, the hard truth about alpha tokens, and why value capture - not hype - will separate winners from the noise.From codified buybacks and equity linkages to miner incentives and treasury strategy, James lays out the playbook he thinks will drive real adoption: make alpha a “ticket to value,” reward performance algorithmically, and communicate like a serious business - not a research project.In this conversation, you’ll hear:How to turn alpha from a memecoin into a “ticket” that unlocks real value (algorithmic buybacks, equity share classes, staking requirements)The treasury-company playbook for TAO: tokens-per-share, staking, validators, and why equity-like mechanics matterWhat risks could stall Bittensor - and how better incentive design and clear comms de-risk them

Zeus is building a weather API that outperforms anything that’s available right now now. Miners compete to forecast temperature, wind, rain, and humidity. Validators score them, and the best predictions win. Paid API access coming very soonFirst focus: energy and commodities 50% of revenue goes to alpha buybacks.Weather forecasting is a billion dollar market, and Zeus has got an edge. Listen to the whole episode to find out how alpha holdres can capture the upside.

In this episode of Revenue Search, we sit down with Fred from Polaris (Subnet 49) - a team building what they call the “Airbnb of compute,” starting from Africa and expanding globally.Fred lays out Polaris’ mission to make GPUs and compute power accessible for universities, researchers, and builders who can’t afford Big Tech’s pricing. We dive into:Why Polaris is focused on turning idle home GPUs into a distributed compute network.Their subscription-based model (instead of a race to the bottom on hourly pricing).The roadmap for revenue, security, and scaling into a full AI infrastructure layer.From bootstrapping with loaned GPUs to pitching a $1M raise, Fred is blunt about the challenges, the mission, and why accessibility matters.

Mark and Siam interview Atlas, the founder behind Mantis (Subnet 123) - Mantis doesn’t just score miners on their raw predictions. Instead, it measures the information value of their embeddings - rewarding miners whose signals improve the ensemble accuracy of market forecasts. Atlas walks us through:How a teenager in Costa Rica went from mining Ethereum without home internet to launching one of Bittensor’s most ambitious subnets.Why Mantis is starting with BTCUSD forecasting but already expanding into forex and metals.The challenge of turning emissions into real-world revenue - from PTN integration to potential hedge fund partnerships.How verifiable, time-locked blockchain logging could make signals truly transparent.If you want to understand how Bittensor is spawning the next generation of quant infrastructure this is one to tune into.

Mark Jeffrey is one of the most trusted voices in the Bittensor ecosystem, and we talk to him about the rise of subnets, what the best teams are doing right, and where many are falling short. From buybacks and dev roadmaps to communications and narrative, Mark shares how he sees the ecosystem maturing, the signals that matter, and the catalysts that could drive the next wave of adoption.In this conversation, you’ll hear:Which subnets are setting the pace - and why others are lagging behindHow buybacks, dev execution, and clear comms can make or break subnet tokensWhat catalysts could reprice Bittensor from niche protocol to mainstream AI infrastructure

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-miningMultilingual creator campaigns validated by LLMsWhy their clients (like Chutes) are getting 1,000+ hours of watch time within daysHow podcast ad reads are now being monetised via pre-rollsThe roadmap for fiat payments, better creator onboarding, and cross-chain briefsTom 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 charactersHow Dippy went from “productivity assistant” to full-blown AI companionshipThe wild monetization model (ads inside chat bubbles)Why Elon’s launch validated their entire businessWhat real-time video chat with your fantasy avatar could look like… by ChristmasOh - 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 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 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 computeWhy they return 100% of revenue to alpha holders via rolling buybacksWhat trusted execution environments (TEEs) are - and why they matterWhy speculative emissions aren’t sustainableHow they’re targeting privacy-focused clients, from AI startups to defence firmsAnd what it’ll take to hit their bold goal of $4M/month in revenueIf 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 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