Into:Leadpoet
Sales pipeline, on-chain.
As of · Jun 4, 10:37 UTC
Leadpoet runs a two-track sales intelligence : one track where miners submit AI models that surface in-market companies for a buyer's ICP, and a second where miners deliver fully enriched leads on real, paid client requests through a commit-reveal flow. Validators score every lead through email verification, LinkedIn checks, company verification, and intent-evidence scraping before any reward lands.
What is Leadpoet
Leadpoet is a Bittensor subnet that turns the top of the sales funnel into a competitive marketplace. Miners compete to surface high-fit companies and to deliver verified contacts that match a buyer's ideal customer profile. Validators run the same independent scoring pipeline on every submission, so a lead only earns when it actually passes verification.
The simple version: It's like outsourcing your outbound sales research to a competitive network instead of a single agency, with built-in checks so you only pay for leads that are real, in-market, and on-target.
Centralized equivalent: Think ZoomInfo, Apollo, or Clay, but rewards flow to whoever produces the best-verified leads on each request rather than to a single data vendor.
How it works:
- Miners run in two tracks. In Model Competition, they submit a Python model that takes an ICP description and returns up to 5 matching companies with intent evidence. In Fulfillment, they answer real client requests with fully enriched leads (contact, role, verified email, intent signal) using a commit-reveal flow so other miners cannot copy their work.
- Validators run the same multi-tier scoring pipeline on both tracks: ICP fit, then data accuracy (email verification via TrueList and ZeroBounce, LinkedIn checks via ScrapingDog, company verification, reputation score), then intent scoring (each evidence URL is fetched, the snippet is matched, and an LLM verifies relevance).
Other research from the same neighborhood of the network.