Skip to main content
A Signal Agent runs 24/7, watches LinkedIn posts that match your sources (keywords, influencers, competitors, your own content), and surfaces the people who comment or react. Every engager is scored against your ICP — only matches land in your list. The closest Komo gets to inbound: you don’t pay for the prospect, and you don’t have to find them.

​
Two tabs at /signals

  • Agents — your Signal Agents with status, leads found, next-run time
  • Feed — every match: triggering post, engager profile, ICP score. Filter by agent, source, label.
Pause, resume, or run any agent on demand.

​
How an agent works

  1. Discover posts from each signal source
  2. Collect engagers (comments + optional reactions)
  3. Score against ICP (titles, locations, industries + free-text criteria)
  4. Add to list — matched engagers become contacts, with the triggering post attached
Runs twice a day by default. Posts dedupe within 24h.

​
Creating an agent

Lists → New list → Signal Monitoring (or Signals → New agent). Four parts:

​
1. Signal sources (pick any combination)

​
2. ICP filters

  • Job titles (e.g. VP Sales, RevOps Lead)
  • Locations (e.g. United States, EMEA)
  • Industries (e.g. SaaS, Fintech)
  • Matching mode:
    • High precision — fewer, better leads (default)
    • Discovery — broader net

​
3. Caps & cost controls

​
4. Advanced (optional)

  • Additional AI criteria — free-text rules for the scorer ("Prefer founders. Skip students. Prioritize anyone hiring SDRs.")
  • Exclude service providers — drops consultants, agencies
  • Exclude Open-to-Work — drops profiles flagged on LinkedIn
A Run immediately checkbox kicks off the first run as soon as you save.

​
Feed view

Each match card shows: triggering post, engager profile, engagement type, signal source, ICP score and reasoning. Click an engager to add to a different list, push to inbox routing, or mark as read.

​
Example: high-quality outbound for a SaaS company

Expected output: ~20–60 leads/day, every one publicly in-market.

​
Pause, run, delete

From the Agents tab menu: Run now, Pause / resume, Delete.

​
Connected to

Contacts (matched engagers) · Accounts (auto-created parent) · Lists (the bound list) · Campaigns (attach list → auto-enroll new matches) · Inbox (replies)

​
Tips

Start with high precision. Discovery mode is noisier — only loosen if daily lead count is too low.
Engagement keywords cast the widest net. Influencer/competitor sources are narrower but higher-quality.
Use Additional criteria aggressively. Structured filters can’t capture nuance like “anyone complaining about Outreach.”
Leave Fetch reactions on. A typical post has 5–10× more reactions than comments — worth the 2× scrape cost.