A lead engine that finds people asking for help, and ignores everyone selling
An engine that reads public posts and job listings, finds the few written by real buyers, scores them and drafts a first message for a person to send. It feeds DataClyroX's own sales pipeline every day.
- Industry
- B2B services
- Service
- Data Science & Machine Learning
The problem
When a business needs help it often says so in public: "looking for a data scientist", "we need a dashboard". Finding those posts by hand is slow, and most of what a search returns is noise: freelancers advertising, recruiters, job seekers and repeats of the same post.
Our approach
The engine only uses public information and official access routes: no logins, no scraping behind accounts, no getting around limits.
It separates real buyers from freelancers, recruiters and job seekers, merges duplicates and reposts, and gives each lead an explained score for intent, freshness and fit.
For each lead it suggests the fastest respectful way to reach the person and drafts a short message from what they actually wrote. A person reviews and sends every message; nothing is sent automatically.
Technology
Public data sourcesText classificationLead scoringScheduled runs
The outcome
Runs twice a day and fills DataClyroX's own sales workspace with leads that link back to the original post.
Its accuracy is checked against real examples after every change, so improvements are measured rather than guessed.