Pricing

Free and MIT-licensed. Paid sources are billed per call through Treg, about $0.0005 to $0.03 per call, and the README puts a run of the default config at about $0.07; Hacker News, RSS, and import are free.

Overview

Lead Signal Listener is a lead-discovery tool, run on your own computer, that searches public posts for people describing the problem your product solves. It watches posts on Reddit, X, Hacker News, LinkedIn, Facebook, Instagram, YouTube, news sites, and RSS feeds, and it also picks up hiring and funding signals. You describe who you are looking for, add keywords, and run it, and each lead is scored by rules you can edit, de-duplicated, and queued for review. Leads can be given a status and notes and exported as CSV or JSON, and the interface switches between English and Chinese.

Key features

Built-in sources for Reddit, X, LinkedIn posts and jobs, Facebook, Instagram, and funding news
Free sources: Hacker News, RSS and Atom feeds, and file import
Transparent rule-based scoring on pain, intent, persona, and engagement
Per-call and per-run spending caps for paid sources
Runs locally on 127.0.0.1 with Python 3.10 or newer and no third-party dependencies
An agent setup guide lets a coding agent install it and tune keywords with you

Use cases

Alternatives

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