Introducing Leadpoet.
The AI agent that delivers ready-to-buy prospects on demand.
Your next customer is already looking for your solution. Leadpoet finds them.
Comment “Poet” and we’ll send you 100 free lead credits for your ICP.
Leadpoet's Lab is built on the same principle.
Miners direct LLM research loops toward model weaknesses. LLMs run the experiments, test what improves, and evaluate the results. Rewards flow to whoever moves the model forward.
LLMs are no longer just the interface. They are becoming the innovation loop.
We see the latest emissions change as a dTAO-level upgrade.
Builders are now directly incentivized to direct all available emissions to miners, channeling more intelligence, compute, and resources into useful work.
For Leadpoet, the timing could not be better.
In the coming days, we are rolling out our new incentive mechanism: The Lab.
The Lab is designed to channel miner competition toward one mission: continuously improving a sales agent that gets smarter with every attempt, every failure, every improvement, and every piece of reasoning generated along the way.
That process generates something extremely valuable: rich, specialized sales training data that could only be created on Bittensor.
That training data becomes the foundation for our state-of-the-art sales LLM.
Not by one team working in isolation, but by an open network of miners competing to build the sales brain powering the future of go-to-market.
We are excited to channel all of our incentives toward that mission.
ZoomInfo's most recent 10-Q has a passage worth reading.
In their list of material business risks, they wrote…
That they may face future competition from "prominent large-language-model (LLM) providers and generative AI companies, and any of their competing products and services could provide greater appeal to our customers."
The category leader is openly naming OpenAI, Anthropic, and Google as existential threats in an SEC filing.
What ZoomInfo describes as a future risk is the present tense for us.
Leadpoet runs hundreds of AI-powered agents in competition on every lead request, surfacing in-market accounts in real time instead of selling access to a stored contact list.
That's the architecture ZoomInfo is telling its shareholders to worry about, already shipping, already in production with customers.
The disclosure also confirms something I've been saying for a year.
The static contact database isn't a stable category.
It's a 20-year incumbent acknowledging that a sales rep with a few hours and the right agent infrastructure can replicate the core of what they sell.
Once that's officially in SEC filings, the pricing model has 18 to 24 months before it gets repriced by the market.
Watching how ZoomInfo and the rest of the legacy stack respond in the next few quarters will tell you everything about whether the incumbents can adapt or whether they end up like every other category that lost to a more native architecture.
We're not waiting for them to figure it out. We built the thing they're afraid of.
@ProofofTalk made one thing clear: for Bittensor to reach the next level, enterprise adoption has to accelerate.
At Leadpoet, we’re helping drive that future forward.
We’re excited to share that Leadpoet has begun paid pilots with a large, publicly listed enterprise software company and an AI compute infrastructure platform, bringing our sales enablement product into sophisticated sales workflows.
We’re more convinced than ever that frontier subnet products are heading to the Fortune 500.
If you’re an enterprise, or selling into enterprises, let’s bring Bittensor to market together.
Apollo and ZoomInfo have a combined $2B+ in revenue.
None of it is tied to whether your deals close.
I've talked to 100+ sales leaders while building Leadpoet.
almost none of them had thought about this before.
Apollo has 275 million contacts. ZoomInfo has around 100 million.
but every tool in their stack charges on activity. sends, exports, seat licenses, validation credits.
the whole thing is built to make you feel like you're moving forward, because activity is what generates revenue for them.
a BDR on this setup spends roughly half their day just sourcing and qualifying leads before they can even think about reaching out.
that’s the business model.
what actually works is reaching fewer accounts at the right moment, like a business three weeks into a new market expansion, a company that just made three senior sales hires in the same month.
those signals tell you the window is open. filtering by industry and company size doesn't.
a tool that profits from your sends has no reason to tell you to send less.
Cold outreach in 2026 is embarrassing.
I keep getting the same outreach slop templates.
Here are the "greatest hits" from my inbox this month alone:
"I noticed you recently posted about work life balance." (I don't post about that.)
"Congrats on the Series A, Gavin." (We haven't announced a Series A.)
"I came across Leadpoet and think there's a strong fit between what you're building and what we offer."
(It was a pitch from a competing lead gen tool, sent through an Instantly sequence, the identical opener five other vendors used that week.)
This is AI-powered personalization at scale in practice.
Pull a field from LinkedIn,
drop it into a template,
send it to 10,000 people through 20 warm-up domains.
All hitting the same inbox because they're all pulling from the same Apollo or ZoomInfo database.
This is what the industry decided to call personalization...
When I get outreach that's actually customized, it's when the person knows something specific about my situation that couldn't have come from a LinkedIn field.
No tool produces that at scale except what we're building at Leadpoet.
Excited to be joining this panel at Proof of Talk with leaders across the Bittensor ecosystem.
We’ll be discussing how subnets build distribution, create value, and route value back to the network.
See you in Paris.
Proud to announce Leadpoet’s partnership with @ExaAILabs, giving our builders access to best-in-class search infrastructure for AI agents.
Exa helps AI agents uncover hard-to-find web data and ground outputs with accurate, direct sources. Its work powering web grounding for Gemini on Google Cloud reflects the level of accuracy and reliability we want for the Leadpoet ecosystem.
Builders on Leadpoet can now claim $1,000 in Exa credits to bring high-accuracy, real-time web context into their AI sales agents and workflows.
Excited to kick this off as our first infrastructure partner.
Half a BDR's day has nothing to do with selling.
- Qualifying
- Prospecting
- Building lists
All before they reach out to a single person.
And after all that time, the list they're working from is being worked by 5 other vendors that same month.
Contacts that matched the criteria months ago, but have since moved on, changed roles, or already bought from a competitor.
The ones actually converting stopped trying to fix the list and started paying attention to what was happening in the accounts instead.
A company that just raised a Series A.
A founder posting that their CRM is killing them.
Signals that tell you the timing is right before you write the first word.
That's what Pranav and I built Leadpoet to solve.
All our customers get sourced leads in real time based on their ICP with intent signals and verified emails only.
You don't need more contacts, you just need to find the right ones when they're actually ready.
Excited to be speaking at @proofoftalk this June in Paris.
I’ll be sharing my perspective on where AI-native sales intelligence and decentralized AI are headed, and what we’re building at @LeadpoetAI.
Looking forward to reconnecting with everyone at the Louvre.
The new Leadpoet subnet dashboard is live.
Two incentive mechanisms, now both visible in real time. Fulfillment rewards the miners who provide leads that pass validator scoring on ICP fit, intent, and quality. The model competition rewards the miner whose model raises the floor everyone else builds on.
Accelerate.
Check it out 👇
Leadpoet has been selected for @Salesforce Launchpad.
Launchpad brings together a small group of startups and gives them access to ecosystem, AI capabilities, and go-to-market support to scale.
Looking forward to building and accelerating our momentum.
More to come.
Had a great time at Cornell Tech’s AI & Blockchain: Redefining Markets conference.
Really enjoyed discussing Leadpoet with investors and builders working at the intersection of AI, crypto, and markets. Great to see many sharing our thesis and vision.