B2B · Deep-tech / AI

The signal is in the repo, the stack, and who they're hiring.

Technical buyers — CTO, Head of AI, Head of ML. The engine cross-references GitHub activity, job postings, funding and production stack to find accounts with real AI-infrastructure pain, not generic clicks.

Try the engine →Let's talk
The problem

What sounds familiar.

01

Generic lead-gen agencies don't read a repo or understand your technical sales cycle.

02

Technical buyers discard any message that smells like template marketing within seconds.

03

The sales cycle is long: you need to prioritize which account to work first, not cold-call a whole list.

How we apply it

The engine, in your vertical.

01

Technical activity signal

New repos, release notes and recent commits in inference, orchestration or MLOps libraries.

02

Hiring signal

Open roles for ML Platform Engineer, MLOps or Head of AI as an indicator they're building an in-house team.

03

Funding signal

Recent rounds with declared use of funds in infrastructure or product scaling.

04

Message by the technical why

Outbound and content that speak the technical buyer's language, with the cited evidence up front.

Should we try it with your domain?

Give us your domain and we'll hand back real accounts from your ICP, with the cited evidence of why they fit.

Try the engine →See the B2B hub
Worker in production · monthly refresh · cited evidence on every account