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SignalSDR: Autonomous Sales-Signal Agent

Proof of concept

A sales-development agent that finds buying signals and drafts the outreach, daily.

Problem: SDRs manually check careers pages and news for each target: slow, inconsistent, and easy to miss the moment.

An automated sales-intelligence agent that monitors a set of target accounts every day for two kinds of buying signal: hiring signals (scraping careers pages for roles that indicate demand for our services) and prospect intelligence (scanning business news via the Brave Search API across categories like product launches, electrification, regulatory events, and AI/ML adoption). For each signal it generates a personalized cold-outreach email draft with an LLM, tied to specific products, with false-positive filtering built into the prompts, then delivers a daily digest for human review before anything is sent. All signal-detection, prospecting, drafting, and state logic is custom, built on the open-source nanobot agent framework; it runs unattended on a daily schedule.

25 accounts monitored daily~10 min full daily pipeline

Stack

Pythonnanobot (agent framework)Brave Search APILLM drafting (litellm)BeautifulSouplaunchd scheduling