Find leads on GitHub with AI

Azerit scans GitHub for devs already building in your niche, then reaches out with messages that prove we read their code.

Your pipeline, on autopilot

input

Your product, described in one sentence.

step 1

We scan GitHub

Your niche, mapped: every matching repo, pulled by topics, dependencies and keywords.

scan: 12,406 repos
step 2

We find the signals

Open issues, README pains, fresh commits — buying intent, written in public.

signals: 84 · issues
step 3

We enrich the profiles

A handle becomes a person: name, role, company, verified email.

email: lea.dubois@…
step 4

We rank the leads

Re-scored on hard evidence, sorted hottest to coldest. You start at the top.

top lead: score 94
output

The email writes itself

pg-vector-search"hybrid latency…"Léa · CTO#1 · score 94

Subject, hook, ask, every line generated from her data, for her alone. Watch it being written below ↓

// warm intent, not cold lists

Their code is the buying signal

We only target devs with an active repo in your exact domain. The need is already in their commits.

// hyper-personalization

Go beyond {{first_name}}

Every message opens on their real project: the repo, the file, the exact problem. Impossible to mistake for spam.

The team

Two Centrale engineers putting tech to work for sales teams.

Lumine Trentelivres
Lumine Trentelivres
Co-founder. Centrale Supélec engineer, ex-sales.
Jacques Mougeot
Jacques Mougeot
Co-founder. Centrale engineer, computer science research