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.
Doing both is the real opportunity.
Leadpoet’s Lab improves the sales agent customers use today while generating the training data to build a sales-native LLM.
‘Research is more important than revenue.’
@WSquires says yes.
@mogmachine thinks otherwise.
Bittensor’s first on-stage in-person debate. Only at Exploit.
Tickets below ⬇️
Claude just hired Leadpoet to find its next customers.
Leadpoet is the intelligence layer sales teams use to find and qualify companies most likely to buy. Now, with #OKXAI, other AI agents can access that same intelligence directly.
Agents give Leadpoet a target customer
After launching the Lab last week, we haven’t slowed down.
This is what we shipped this week:
- Miners can now submit new APIs and data sources, helping the agent uncover more niche companies and buying signals
- Each run now captures clearer examples of what makes a lead
Stale CRM records.
Contacts who left months ago.
Buying signals reps never see.
This is still where AI breaks in sales.
Base models are going to keep getting better. Strategy, extraction, and writing will all continue to rapidly improve.
But even the best model will write
Happy 4th from Leadpoet 🇺🇸
Really happy with the progress of the new system.
Even while still in early beta rollout, two more miner-directed improvements have already been made to the model.
More incentives unlock soon.
The Lab is accelerating.
For anyone who missed today’s Space, you can listen to the recording below.
Our co-founder @gavinzaentz joined @TaoRoundtable to discuss Leadpoet and share advice for builders on what makes a great Bittensor subnet.
Recently there's so much attention around @opentensor inside and outside the ecosystem.
So does the demand for the high quality subnet growing big.
This week we have invited @gavinzaentz from @LeadpoetAI to talk around the art and science of making a perfect subnet.
Your CRM can score the leads you already have. It can’t tell you which accounts to chase before they hit your pipeline.
That’s why the Salesforce/Slack push around AI lead scoring matters. It validates the prioritization problem. But the inputs are downstream: engagement
The Leadpoet Lab is already moving faster than we expected.
In just a few days, after only 10 research loops and limited incentives, we’ve already seen the first improvement to the agent.
This is what happens when model improvement runs at machine speed. The system finds
Had a great chat with @ShizzyUnchained today, we covered where Leadpoet is going and more details on the Lab.
Missed the livestream? Check it out 👇
youtube.com/watch?v=F3ogKc…
We’re building the next generation of sales intelligence at Leadpoet.
The Leadpoet Research Lab is officially live: a continuous improvement engine for our AI sales agent that identifies areas for improvement, runs focused research loops, evaluates results, and captures what
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
If you can beat the last guy then that miner takes the rewards so it drives innovation.
Probably one of the most sophisticated LLM as a judge systems ever made.
LLM as an entire innovation stack.